Apparatus and method for detecting substances and microorganisms

Abstract

An apparatus and method for detecting substances and microorganisms, the apparatus comprising at least one sample reservoir having a sample inlet and a sample outlet for holding a sample containing liquid, substances and microorganisms, at least one liquid tube connected to the sample outlet of the sample reservoir, a plurality of microscope slides embedded in the liquid tube, a plurality of image magnifying devices disposed above or below the microscope slides, a light source for irradiating the sample on the plurality of microscope slides, and a control unit having computer software and an algorithm program for managing the operation of the apparatus and identifying and classifying the sample, the control unit being electrically communicable with the at least one sample reservoir and the at least one liquid tube.

Description

Technical Field

[0001] [Cross - References to Related Applications] This application claims the following priority and benefits: U.S. Provisional Application No. 63 / 343,004, filed May 17, 2022, "Waterway Substance Detection"; U.S. Provisional Application No. 63 / 345,825, filed May 25, 2022, "Detection of All Kinds of Substances by a Ball Rotating Static Electricity, Adhesive Substances on the Surface, or Magnetized Substances Using Artificial Intelligence"; U.S. Provisional Application No. 63 / 353,099, filed Jun. 17, 2022, "Universal Detection, Classification, and Multipurpose Apparatus for Substances and Microorganisms"; and U.S. Provisional Application No. 63 / 353,101, filed Jun. 17, 2022, "Universal Detection, Classification, and Multipurpose Method for Substances and Microorganisms", the entire disclosures of which are incorporated herein by reference.

[0002] The present invention relates to a liquid pipe device for accurately detecting microorganisms and substances in real - time. Further, the present disclosure provides an apparatus and method for detecting one or more of substances and a plurality of microorganisms in a liquid sample transported by a moving carrier using a computer software program and a machine learning algorithm.

[0003] The subject matter discussed in the background section should not be assumed to be prior art merely because it is mentioned in the background section. Similarly, the problems mentioned in the background section, or problems related to the subject matter of the background section, should not be assumed to have been previously recognized in the prior art. The subject matter of the background section may merely represent different approaches and may itself be an invention.

Background Art

[0004] Currently, by conducting accurate inspections before consuming food or liquids and grasping the pollution levels in the living space, the diseases of humans, plants, and animals can be reduced. Municipal water utilities cannot accurately detect microorganisms and contaminants in public drinking water, food processing companies cannot detect low-level bacteria with high precision and recall rates are increasing, hospitals and nursing facilities are breeding grounds for microorganisms, while cleaning companies claim they can effectively remove harmful substances.

[0005] In the current water purification methods distributed through public facilities, false detections occur. Even if impurities are detected from pipes or water storage tanks, the collected data may be too late and the water may already have been consumed. The same problem exists in food processing facilities, and for this reason, recalls have been increasing year by year. Regardless of what is true and what is false, picking out the most cunning pathogens and removing contaminants is not as accurate, more expensive, and time-consuming as they claim. The current response time is long, but machine learning has become the lifeline for determining accurate detection and what countermeasures should be taken.

[0006] Year by year, the number of pathogens and contaminants causing diseases and deaths worldwide is increasing. Due to the impact of the recent global pandemic, new mutant strains continue to be generated, further affecting people. At the time of filing this application, polio was detected in the wastewater in New York, Legionnaires' disease was found in the tap water of households in New Jersey, and B. pseudomallei was found in the water and soil along the Mississippi Gulf Coast. This is the first time B. pseudomallei, which can cause potentially fatal melioidosis, has been identified in the United States.

[0007] Even with conventional methods of detecting pathogens, some pathogens may not be detected due to the limitations of the method, errors are likely to occur, and it may be costly to implement. Therefore, the importance of timely, simple, low-cost, and accurate detection and identification of pathogens to prevent the spread of diseases and hazards has been emphasized.

[0008] Current methods for detecting pathogens and contaminants in various environments rely on outdated technologies and are insufficient for timely disease detection. Technologies commonly used to detect pathogens include polymerase chain reaction (PCR), culturing methods, next-generation sequencing (NGS), mass spectrometry, etc. Traditional methods such as microarrays and biosensors are time-consuming, labor-intensive, and require specialized skills and equipment.

[0009] Furthermore, state and city workers still collect water and soil samples manually, and because they wear protective clothing to prevent contamination, the accuracy of the results may be compromised. The costs associated with these processes are also a major concern.

[0010] A pathogen is a microorganism that can cause disease in humans, animals, and plants. These exist in various environments such as water, food, and air, posing a significant threat to public health worldwide. Therefore, the detection of pathogens and other contaminants in liquid samples is very important in various fields.

[0011] The present invention relates to accurately detecting contaminants before ingesting food or liquid, and particularly to an apparatus and method for detecting one or more substances and multiple microorganisms.

[0012] A pathogen is a microorganism that can cause disease in humans, animals, and plants. These exist in various environments such as water, food, and air, posing a significant threat to public health worldwide. Therefore, the detection of pathogens and other contaminants in liquid samples is very important in various fields.

[0013] This specification recognizes the need for an apparatus and method that provides a solution that does not use chemicals, does not require maintenance, is fully managed by artificial intelligence and machine learning platforms, and leaves no residual impact on the environment.

[0014] The invention addresses these problems by providing a transparent liquid tube designed to detect real-time pathogens or contaminants in a safe and reliable manner. This technology helps in the detection of pathogens and contaminants, preventing the spread of diseases and reducing associated costs and risks.

[0015] The drawbacks and limitations of the conventional approaches are presented in the remaining part of this application and will become apparent to those skilled in the art by comparing some aspects of the present disclosure with the described methods with reference to the drawings.

Summary of the Invention

[0016] One aspect of the present disclosure relates to a method for detecting one or more of a substance and a plurality of microorganisms. The method processes a liquid, a substance, and microorganisms with a plurality of remotely operated unmanned land, air, and underwater self-propelled devices. The method includes introducing the liquid, the substance, and the microorganisms into a sample reservoir connected to a liquid tube inlet. The method includes drawing the liquid, the substance, and the microorganisms into the liquid tube through a sample outlet. The method includes placing the liquid, the substance, and the microorganisms on the sample surfaces of a plurality of microscope slides. The method includes illuminating the liquid, the substance, and the microorganisms on the sample surface of the microscope slide with a light source. The method includes intermittently pumping the liquid, the substance, and the microorganisms between the microscope slides. The method includes magnifying the liquid, the substance, and the microorganisms on the sample surface of the microscope slide with an image magnifying device. The method includes detecting the amount of light transmitted through the liquid sample using a light detector and / or detecting fluorescence emitted from the liquid sample on the sample surface of the microscope slide using a microscope. The method includes analyzing the light detected by the light detector and / or generating a signal indicative of the fluorescence emitted from the liquid sample on the sample surface of the microscope slide and transferring the signal to a computer software device to determine the presence of substances and microorganisms in the liquid sample. The method includes transmitting or displaying the results of the detection of the substance and the microorganisms. The method includes controlling the operation of a pump in the liquid tube using a control unit having a plurality of algorithms. The method includes detecting the motility and mobility of the microorganisms, the color of the substance, the mass of the substance, and the type of contaminant or substance. The substance and the microorganisms can take the form of a single or a combination. The method includes predicting a plurality of events in outdoor and indoor environments from the data obtained by the operation of the method and the device.

[0017] The present invention mainly solves the technical problems existing in the prior art. In response to these problems, the present invention provides an apparatus and method for detecting one or more substances and a plurality of microorganisms.

[0018] Another aspect of the present disclosure is to provide a method for real-time detection of pathogens or contaminants in a liquid sample using a liquid tube as defined herein.

[0019] This method can include the following steps: introducing a liquid sample into a sample reservoir; withdrawing the liquid sample from the sample reservoir into a primary liquid tube; placing the liquid sample on the sample surface of a microslide; illuminating the liquid sample on the sample surface of the microslide with a light source; detecting the liquid sample on the sample surface of the microslide with a detection unit; transmitting the detected image data from the detection unit to a control unit; analyzing the data with the control unit to determine the presence of pathogenic microorganisms using a machine learning platform; optionally, if pathogenic microorganisms are detected in the primary liquid tube, transferring the liquid sample to an auxiliary transparent liquid tube for further analysis; and transmitting a warning signal to the user if pathogenic microorganisms are detected.

[0020] Another aspect of the present disclosure is to provide a system for detecting pathogens or contaminants in a liquid sample using a liquid tube as defined herein.

[0021] One aspect of the present disclosure is to provide a liquid tube for detecting pathogens or contaminants in real time. The liquid tube includes a sample reservoir having an inlet port and an outlet port for holding a liquid sample, a main liquid tube in which a detection unit for detecting the presence of pathogens or contaminants in the liquid sample is embedded, a sample inlet, and a sample outlet (the sample inlet is connected to the outlet port of the sample reservoir), an auxiliary transparent liquid tube connected to the sample outlet of the main liquid tube and in which a detection unit for further analyzing the liquid sample supplied from the main transparent liquid tube is embedded, and a control unit that electronically communicates with the reservoir, the main liquid tube, and the auxiliary transparent liquid tube using a software program and a machine learning algorithm may be included.

[0022] In some embodiments, the liquid tube may further include a display unit for displaying the pathogen detection results.

[0023] In some embodiments, the liquid tube may further include a communication unit for transmitting the pathogen detection results to a remote device such as a smartphone, tablet, laptop, or desktop computer.

[0024] One aspect of the present disclosure relates to an apparatus for detecting one or more of a substance and a plurality of microorganisms. The apparatus includes a plurality of liquid tubes, a plurality of microscope slides, an oil immersion microscope slide section, a plurality of image magnification devices, a plurality of remotely controlled unmanned land, air, and water self-propelled devices, a plurality of software program computing systems, a plurality of liquid pumps and air pumps, a plurality of lasers and sensors, and one or more processors. The microscope slides are embedded in the liquid tubes. The oil immersion section may be disposed on top of the liquid tubes attached to a plurality of reservoirs. The image magnification device is installed on or near the liquid tube. The image magnification device is operated manually, automatically, mechanically, or electronically to magnify the substance and the microorganism. The remotely operated unmanned land, air, and water self-propelled devices collect the substance and the microorganism. The software program computing system utilizes software algorithms and software programs described in a plurality of software languages to automatically operate the apparatus and the remotely controlled unmanned land, air, and water self-propelled devices. The software program computing system instructs the removal of the substance and the microorganism. The liquid pump and the air pump are controlled by the software program computing system. The laser and the sensor are controlled by the software program computing system. The processor executes a plurality of machine learning algorithms and software programs to detect, display, and remove the substance and the microorganism.

[0025] In one aspect, the apparatus includes a plurality of detection devices and a plurality of computer software programs for detecting the substance in real time.

[0026] In one aspect, the substance includes biological bacteria, viruses, bacteria, fungi, protozoa, molds, allergens, pathogenic microorganisms (pathogens), non-pathogenic microorganisms (non-pathogenic), microorganisms, clusters of microorganisms, clusters of substances, hydrocarbons, metals, oils, human and animal body fluids, plant substances, fertilizers, chemical substances, pollutants, and algae in a liquid / wet and / or dry / pseudo-dry liquid tube.

[0027] In one aspect, the device includes a plurality of external lights and internal lights.

[0028] In one aspect, the device includes a plurality of light sources that emit light into a liquid tube and a sample reservoir.

[0029] The detection unit may include a light source that irradiates a liquid sample with light, at least two microscope slides "microscope slides" that are spaced apart from each other and arranged opposite to each other for the liquid sample to pass through the space, each microscope slide having a sample surface for receiving and holding the liquid sample, and at least one image magnifying device configured to magnify and detect the liquid sample on the sample surface of the microscope slide.

[0030] In one aspect, the plurality of microscope slides are spaced apart on opposite sides of each other, both the liquid and the substance pass through the space between the microscope slides, and the microscope slides embedded in the liquid tube maintain a surface for receiving and holding the liquid and the substance.

[0031] In one aspect, the plurality of liquid pumps and air pumps include a plurality of processors for monitoring, starting, and stopping the flow of liquid in the liquid tube using a machine learning platform, algorithms, and computer language software programs.

[0032] In one aspect, the device includes a plurality of control units for controlling the operation of the liquid tube.

[0033] In some embodiments, the control unit may be configured to control the intensity and duration of a light source used to irradiate a liquid sample on the sample surface of the microslide.

[0034] On one side, the microscope slide can be adjusted manually or by a computer software program.

[0035] In some embodiments, the sample surface of each microscope slide "microslide" may be composed of a material selected from the group consisting of glass, plastic, silicon, and combinations thereof.

[0036] The control unit may include a processor for operating and managing a liquid tube, analyzing the liquid sample detected by a detection unit, and determining the presence of pathogens or contaminants in the liquid sample using an algorithm of a machine learning platform.

[0037] In one aspect, the image magnifying device is a plurality of single components and the overall optical components of a plurality of microscopes.

[0038] In one aspect, the microscope magnifies a liquid sample on the sample surface of the microscope slide or between microscope slides.

[0039] In some embodiments, the transparent liquid tube channel may further include a photodetector for detecting light transmitted through the liquid sample on the microslide.

[0040] In one aspect, the control unit includes a processor that uses a plurality of machine learning platforms, computer software algorithms, and computer software programs to analyze the light detected by the photodetector to determine the presence of substances in the liquid tube. A computing software program and a unique computer language software program based on the amount of detected light.

[0041] In one aspect, the apparatus includes a plurality of photodetectors for detecting light transmitted through the liquid tube.

[0042] In some embodiments, the image magnifying device may be configured to capture an image of the liquid sample on the sample surface of the microslide and send the image to the control unit.

[0043] The following section is the image magnifying device section used in the apparatus. In this apparatus, various types of devices and lenses are utilized.

[0044] The image magnifying devices utilized by this apparatus are diverse. For the purpose of understanding the magnifying component devices of the apparatus, the phrase "where an image magnifying device is used" may refer to any image magnifying device described in this patent application.

[0045] The image magnifying device defined for the purposes of this patent application is a mechanical or electronic magnifying measuring device with a magnifying function. The optical lens magnifies the apparent size (physical size) of the substance. Inside the liquid tube, multiple image magnifying devices may not be necessary (focusing can be done manually or by the algorithm of the apparatus). An image magnifying device that can detect the motility, movement, color, size, and shape of microorganisms and accurately identify the object can also be used in this apparatus.

[0046] A microscope slide is embedded in the tube. The image magnifying device is placed directly above the slide for detection, and the lens is connected to computer software and an algorithm program to detect the substance in real time. These include basic optical lenses, magnifying lenses, lenses attached to a base microscope, folding mirror lenses, optical microscopes, electron microscopes, super-resolution microscopes, fluorescence microscopes, X-ray devices, magnetic resonance imaging devices, nuclear magnetic resonance devices, telescopic lenses, and the like.

[0047] If a specific magnification device such as an X-ray device or a magnetic resonance imaging device is required, the entire device is equipped with a liquid tube. A specific method such as discharging the liquid is required. The remaining substances are captured at the stage inside the machine, but water and liquids need to be removed first as they interfere with coating.

[0048] Some image magnification devices do not use a microscope condenser. Instead of the condenser, a light is embedded in the tube part under the image magnification device (and the nearby part for illuminating the surrounding light) to illuminate the area between the slides of the microscope. Some optical lenses are equipped with their own computer software and algorithm programs that manage all the optical lenses of the entire tube from both inside and outside. When a light embedded on or inside the liquid tube is used instead of the condenser, the computer software and algorithm program manage the brightness of the light required for accurate observation and detection of substances. The image magnification device can be installed anywhere outside the tube. The image magnification device can be close to or far from the tube. Specific optical magnification lenses can also be arranged inside the tube. There are no restrictions on the number of image magnification devices, the types of optical magnification lenses, or their combinations that can be used with UMMDA. The algorithm learns from the data obtained from the image magnification device and the optical magnification lens and transfers that data to other algorithms inside the device. The focus adjustment of the image magnification device can be done manually by one person or by multiple groups where each person in the group manually adjusts the focus of one image magnification device. The focus of the image magnification device can also be operated by an optical magnification lens focus algorithm or a third-party software program and can be automated. The tube component has its own computer software and algorithm program that manages the entire tube device.

[0049] In a specific version of the device, the image magnification device may be placed within a watertight section inside the liquid tube. This section is inside the tube.

[0050] In a specific version of the device, the entire microscope (and its components) may be used. The entire microscope is defined as all the parts included when purchasing from a vendor that generally sells microscopes. Components include, but are not limited to, electrical connections, the base, the microscope slide platform, lenses, lighting devices, condensers, etc.

[0051] Depending on the length of the tube, there may be various types of image magnification devices as described in this patent application. The image magnification device can be placed either outside or inside the tube. The image magnification device (including optical magnification lenses and varying to include a folding optical system and a folding mirror lens) can be placed on top of the tube, under the tube, on the side of the liquid tube, or on a truss supporting the liquid tube.

[0052] The folding optical system is an optical system that bends the beam to make the optical path much longer than the size of the system. An example is a prism binocular. A prism binocular has two right-angled glass prisms that apply the principle of total internal reflection. The incident light ray is reflected twice inside, giving the observer a wide field of view. For this reason, prism binoculars are preferred over conventional binoculars.

[0053] The microscope slide is positioned directly below the image magnifying device. Henceforth, for the purposes of this patent application, all microscope slides will be referred to as "slides" or "micro slides" and may have different characteristics. For the purposes of this patent application, the slides in this patent application will be of every type of microscope slide. A microscope slide is defined as a rectangular glass piece on which a sample of a substance can be placed for evaluation. The shape of the microscope slide in this patent application can be of any shape. In another section below, the glass slide component will be described. The thickness of the microscope slide varies from extremely thin to very thick. There are usually two microscope slides in a liquid tube, and both slides are embedded or fixed within the liquid tube. A slide topper for oil immersion applications (placed outside the upper part of the tube) can also be used. The tube usually has an upper slide and a lower slide, with a certain distance between them. The tube can be installed horizontally or vertically with respect to the ground. In the design of the tube, the slides can be arranged one on top of the other vertically, or in some cases, the slides can be arranged parallel to each other within the tube. The distance between the two slides varies. The slides can be made of any transparent material. Most slides are made of glass.

[0054] For applications such as observing only contaminants, the distance between the slides is increased for large single substances and large clusters that can be observed, detected, and identified. When the slides are placed very close to each other within the tube, the application may have a filter and a screen that allow only very small substances such as a single virus to flow between the two slides. As will be described below, it is an adjustable slide whose distance between the slides can be adjusted according to different applications. For example, when the device is installed in a hospital, the distance between the slides is reduced. A filter is installed in front of the slides so that only viruses and bacteria can pass between the slides if they are present.

[0055] In some cases, only one microscope slide may be used for each tube. As an example of this, a manual application is used, such as when a user is looking for dirt and dust particles in a school science project to visualize larger substances.

[0056] From small homes to large airports, depending on various applications, the scale of the work can range from millions of gallons of liquid supplied through liquid tubes where 5,000 slide sets are required, to equipping the tubes with a minimum of one microscope slide, or having combinations of slides exceeding 150,000.

[0057] This device can be equipped with adjustable microscope slide options for advanced applications such as observing small substances like viruses. Set one or two microscope slides on a geared track and move one or two slides on the track up and down with a small mechanical device.

[0058] This device can be equipped with three adjustable microscope slide options, enabling advanced identification and detection of various input formats, such as large water masses, surface substances, and airborne substances where the device operates at a higher level.

[0059] This device can also utilize a three - tier stacked slide system. The top slide is on top of the second slide and is close to the second slide. In the device, another third slide is used where the difference in distance between the second (middle) slide and the third lower slide is doubled.

[0060] In one aspect, a plurality of microscopes are configured to provide images of liquid samples and substance samples on the surface of a microscope slide.

[0061] In one aspect, a plurality of microscopes are configured to detect fluorescence emitted from liquids and substances on the sample surface of a microscope slide.

[0062] In one aspect, the image magnifying device is configured to provide an image of a liquid sample and a substance sample on the surface of a microscope slide.

[0063] In certain embodiments, the image magnifying device is configured to detect fluorescence emitted from a liquid and a substance on the sample surface of a microscope slide.

[0064] In certain embodiments, the image magnifying device may be a fluorescence microscope.

[0065] In some embodiments, the fluorescence microscope may be configured to detect fluorescence emitted from a liquid sample on the sample surface of a microslide, or may be configured to generate a signal indicative of the fluorescence emitted from the liquid sample on the sample surface of the microslide.

[0066] In one aspect, a plurality of microscopes are configured to control the intensity and duration of a light source used to illuminate a liquid sample on the sample surface of a microscope slide.

[0067] In one aspect, a plurality of microscopes are configured to generate a signal indicative of fluorescence emitted from a liquid sample and a substance sample on the sample surface of a microscope slide.

[0068] In one aspect, a plurality of microscopes are configured to capture an image of a substance on the sample surface of a microscope slide.

[0069] In one aspect, the image magnifying device is configured to control the intensity and duration of a light source used to illuminate a liquid sample on the sample surface of a microscope slide.

[0070] In one aspect, the image magnifying device is configured to generate a signal indicative of fluorescence emitted from a liquid sample and a substance sample on the sample surface of a microscope slide.

[0071] In one aspect, the plurality of microscopes are configured to capture an image of a substance on the sample surface of a microscope slide.

[0072] In one aspect, the image magnifying device is configured to capture an image of a substance on the surface of a microscope slide.

[0073] In one aspect, the plurality of image magnifying devices are configured to store the images captured from the surface of the microscope slide in a memory device.

[0074] In one aspect, the microscope is an optical microscope.

[0075] In one aspect, the plurality of microscopes are super-resolution microscopes.

[0076] In some embodiments, the image magnifying device may be a microscope or a laser.

[0077] In some embodiments, the image magnifying device may be a folding mirror lens.

[0078] In some embodiments, the image magnifying device may be configured to provide an image of a liquid sample on the surface of a microslide to a control unit.

[0079] In one aspect, the machine learning algorithm, in conjunction with a computing software program and a computer software program, determines a plurality of operations of the device and learns from those operations.

[0080] In one aspect, the device includes a communication unit for transmitting the results of the detection of substances and microorganisms to a remote device.

[0081] In one aspect, the device includes a display device for displaying the results of the detection of substances and microorganisms.

[0082] In one aspect, the battery supplies power to the device and a plurality of components of the device.

[0083] In one aspect, the remotely controlled unmanned land, air, and water self-propelled devices are equipped with multiple robotic arms for collecting, depositing, moving, retrieving, and transporting substances and microorganisms.

[0084] In one aspect, the robotic arm is equipped with pinchers and is static, movable, adjustable, and transportable.

[0085] In one embodiment, the device includes a liquid sample containing a substance sample collection container "sample reservoir" for collecting a liquid sample together with a substance sample.

[0086] In one aspect, the remotely controlled unmanned land, air, and water self-propelled devices are equipped with multiple robotic arms for depositing substances into a sample reservoir connected to a liquid tube.

[0087] In one embodiment, the sample reservoir is connected to a liquid tube for holding liquid and substance samples.

[0088] In some embodiments, the transparent liquid tube may further include a liquid sample storage unit for collecting a specific liquid sample.

[0089] In one aspect, the device includes multiple inlets for introducing liquid and substances into a sample reservoir "reservoir" and a liquid tube.

[0090] In one embodiment, the device includes multiple outlets for extracting liquid and substances from the sample reservoir.

[0091] In one aspect, the computer software program can reroute the substance to a transparent secondary liquid tube.

[0092] In one aspect, the computer software program can reroute the substance to a secondary sample reservoir.

[0093] In one aspect, a computer software program may reroute a substance to a reservoir connected to a secondary liquid tube to decompose the substance.

[0094] In one embodiment, the device includes a plurality of outlets for discharging liquids and substances from a sample reservoir and a liquid tube.

[0095] In one aspect, a remotely controlled unmanned land, air, or water self - propelled device includes a plurality of robotic arms for collecting, depositing, moving, retrieving, transporting substances and microorganisms, and depositing them in a sample reservoir connected to a liquid tube.

[0096] In one aspect, the robotic arms are static, movable (attached to a UMMDA mobile vehicle), adjustable, and movable using pinchers.

[0097] In one embodiment, the device includes a plurality of direct wireless charging systems for powering components of the device.

[0098] In one embodiment, the device includes a plurality of direct wireless charging systems for transferring charge to a plurality of other devices within the device.

[0099] In one embodiment, the device includes a plurality of power devices including batteries, nuclear power, natural gas, gasoline, and diesel combustion engines, hydroelectric power (waterwheel power), solar panels, hydrogen fuel cells, wind turbines, and magnetic energy.

[0100] Accordingly, one advantage of the present invention is to wash, exchange, and remove substances from a platform including modern size and nanotechnology size, or a combination of both, while the components of the device are powered by a direct wireless charging system that is further charged by battery, nuclear power, natural gas, gasoline and diesel combustion engines, hydrogen fuel cells, hydrogen fuel cells, hydroelectric power, solar panels, wind turbines, and magnetic energy.

[0101] In one aspect, the liquid tube is connected to a conveyor belt partially immersed in water.

[0102] In some embodiments, the control unit can be configured to identify and classify liquid samples and transmit a warning signal to the user if pathogenic microorganisms are detected.

[0103] In some embodiments, the auxiliary transparent liquid tube can be actuated when pathogenic microorganisms are first detected through the main transparent liquid tube.

[0104] In some embodiments, the method may further comprise the step of using a biosurfactant to remove pathogenic microorganisms. The biosurfactant can be selected from the group consisting of surfactin, iturin, fengycin, lichenysin, serrawettin, phospholipids. Rhamnolipid, sophorolipid, trehalolipid, mannosylerythritol lipid, cellobioripid, lipoproteins, rubiwettin, trehalose, ornithine, pentasaccharide lipid, viscosin, bacitracin, lipopeptides, and combinations thereof. For the purposes of this patent application, a biosurfactant is defined as a chemical substance secreted by bacteria, and that chemical substance is part of a method for determining how threatening the substances detected in the device are to humans, plants, animals, and whether the substances can be broken down, altered, or removed. The biosurfactant also adds a method for cleaning agents, emulsifiers, and breaking down substance clusters within the device components. The components can be mobile, static, or both.

[0105] The present invention provides a very accurate and efficient means for detecting pathogens or contaminants in a liquid sample and can be used in various settings including medical facilities, laboratories, environmental testing facilities, and open and closed environments.

[0106] In some embodiments, the transparent liquid may further comprise a battery for powering the liquid tube device.

[0107] Other objects and advantages of the present invention will become readily apparent to those skilled in the art upon reading the detailed description. The detailed description shows and describes, for purposes of illustration only, the preferred embodiments of the present invention, which are the best modes contemplated herein for carrying out the present invention. As we have recognized, the present invention is capable of other different embodiments and some of its details are modifiable in various obvious respects without departing from the present invention. Therefore, the figures and their description are considered to be illustrative in nature and not restrictive.

[0108] Other features of the embodiments of the present disclosure will become apparent from the accompanying drawings and the following detailed description.

[0109] In one aspect, the battery powers the device and a plurality of components of the device.

[0110] Other features of the embodiments of the present disclosure are that the component is a single power generation component or a power source powered by the following combinations. Electric power, battery power - electric power generated from a device that directly converts chemical energy into electric energy, hydroelectric power generation, magnetic energy, hydrogen fuel cell - electric power generated from an electrochemical cell - through a pair of redox reactions, converting the chemical energy of fuel and oxidant into electricity. Thermal power generation - power generation by burning substances such as petroleum, liquefied natural gas, and coal to generate steam power and rotating a generator to generate electricity. Hydrogen energy - generated from heat treatment (natural gas) and electrodes and electrolytes (anode and cathode), solar power generation - electric power generated by converting sunlight into electric energy through a solar photovoltaic (PV) panel or a mirror that concentrates solar radiation. Fossil fuels (coal, oil, natural gas) - electric power generated by fuels containing carbon and hydrogen that exist in the earth's crust and can be burned to obtain energy. Hydroelectric power generation - electric power generated by using falling water or fast-flowing water to generate electricity. Wind power generation - electric power generated from wind by collecting and converting the kinetic energy generated by wind. Both types of nuclear power are supplied by nuclear fission and nuclear fusion. Nuclear fusion power generation - electric power generated from the heat of a nuclear fusion reaction that combines atomic nuclei. Nuclear fission energy - energy generated from the heat of a reaction in which atomic nuclei split into two or more smaller nuclei. The above power generation materials are supplied to devices that convert substances such as turbines, water wheels, and generators into kinetic energy. Thrust can also be used to convert into kinetic energy. Internal combustion engines are used to convert substances into kinetic energy. The generated electric power is stored in a power storage device.

[0111] The subject matter discussed in the Background section should not be assumed to be prior art solely for the reason that it is mentioned in the Background section. Similarly, the problems mentioned in the Background section, or problems related to the subject matter of the Background section, should not be assumed to have been previously recognized in the prior art. The subject matter of the Background section may merely represent a different approach and may itself be an invention.

Brief Description of the Drawings

[0112] In the figures, similar components or functions may be labeled with the same reference label. Further, by attaching a second label after the reference label to distinguish similar components, different components of the same type can be distinguished. If only the first reference label is used in the specification, the description applies to any of the similar components having the same first reference label, regardless of the second reference label.

[0113] Embodiments of the present disclosure are described herein by way of example with reference to the accompanying drawings.

[0114]

Figure 1

[0115]

Figure 2

[0116]

Figure 3

[0117]

Figure 4

[0118]

Figure 5

[0119]

Figure 6

[0120]

Figure 7

[0121] In the figures, similar components or functions may be labeled with the same reference label. Further, by attaching a second label that differentiates similar components after the reference label, different components of the same type can be distinguished. If only the first reference label is used in the specification, the description applies to any of the similar components having the same first reference label, regardless of the second reference label.

Modes for Carrying Out the Invention

[0122] The following detailed description is made with reference to the accompanying drawings.

[0123] Furthermore, it is important to note that the numbers included in this disclosure are not to scale. The figures are intended to illustrate the main features and functions of the invention, but do not accurately represent the sizes and ratios of various components. Instead, the figures are intended to clearly and concisely depict the invention in a way that aids in understanding its operation and function. It should be understood that the relative sizes and dimensions of the components may be different from those shown in the figures and that the figures should not be relied upon for exact measurements or scaling. For details regarding the size and dimensions of the present invention, refer to the description provided herein.

[0124] Detailed descriptions of exemplary embodiments of the present invention are listed in the following sections: Introduction to Embodiments of the Present Invention, Liquid Tubes, Microscope Slides, Lighting, Sample Reservoirs, Mobile Vehicles for Substance Collection, Manual Applications, Computer Software Devices, GPU / CPU, Computer Software Programs, Algorithms, Third-Party Software Programs, Proprietary Software Programs, Reports, UMMDA Chatbots, Auxiliary Tubes, Alerts, Biosurfactant Test Reservoirs, Substance Collection Methods, Lasers, Black Lights, Power Applications, and Power Supplies.

[0125] This disclosure is best understood by reference to the detailed figures and descriptions set forth herein. Various embodiments have been described with reference to the drawings. However, those skilled in the art will readily understand that the detailed descriptions provided herein with respect to the figures are for illustrative purposes only, as the methods and systems may extend beyond the embodiments described. For example, depending on the presented teachings and the needs of a particular application, multiple alternative and appropriate approaches may be provided for implementing the detailed functions described herein. Thus, any approach may extend beyond the options for a particular implementation in the following embodiments.

[0126] It is important to note that certain aspects of this disclosure may not be explicitly described herein. However, these aspects are assumed to follow the common general knowledge in the art that is widely known to those with ordinary skill in the art. Thus, it is not necessary for this disclosure to explicitly provide detailed information regarding these aspects. Skilled persons are expected to understand and implement these aspects based on general and specialized knowledge. The purpose of this disclosure is to provide a comprehensive and clear description of the invention while recognizing that certain aspects may be implicitly understood by those skilled in the art.

[0127] One aspect of the present disclosure is to provide a liquid tube device for detecting pathogens or contaminants in real time.

[0128] The Universal Multi-Material Detection Apparatus (hereinafter abbreviated as UMMDA) uses a liquid tube, a sample reservoir, a mobile vehicle, a computer software device, a computer software program, and an algorithm to detect specific types of substances and microorganisms in real time from surfaces, water sources, and air.

[0129] The main components of this device are a computer software program, an algorithm, and computer software devices, drones, robots, ships, robotic arms, pumps, liquid tubes, sample reservoirs, and other hardware. The purpose of the liquid tube is to suspend substances in a liquid and quickly move the substances between microscope slides embedded in the liquid tube so that an image magnifying device can display, detect, and identify the substances in real time. This device is designed to automatically and intermittently feed substances into the liquid tube and detect the substances quickly and accurately.

[0130] The entire device and its operating method are designed to be managed either by computer software and algorithm programs or by a user who can manually operate the device. This device utilizes a series of methods and instructions for both hardware and software. Drones, robots, and ships collect substances and accumulate them in a reservoir connected to a liquid tube. The user can also physically collect substances for the device and input them into a reservoir connected to a liquid tube without using the drone, robot, and ship components of the UMMDA. A pump in the reservoir pumps liquid from the reservoir into the liquid tube. The liquid tube contains substances that circulate within the tube and flow between two embedded microscope slides placed above or below the image magnifying device. The number of image magnifying devices varies depending on the length of the tube. This device is connected to a laptop that maintains an algorithm capable of wirelessly connecting a mobile phone, tablet, desktop, and server to the laptop for viewing purposes. The algorithm is designed to learn (machine learning) from the acquired data and predict future events.

[0131] Devices and methods for detecting one or more substances and multiple microorganisms are disclosed. Embodiments of this disclosure include various steps described below. These steps may be executed by hardware components or incorporated into machine-executable instructions. Machine-executable instructions can be used to cause a general-purpose or dedicated processor programmed with the instructions to execute the steps. Alternatively, the steps may be executed by a combination of hardware, software, firmware, and / or a human operator.

[0132] The liquid tube device includes a sample reservoir for holding a liquid sample, a liquid tube equipped with a detection unit for detecting the presence of pathogens or contaminants in the liquid sample, and a control unit for controlling the operation of the sample reservoir and the liquid tube using a computer software program and a machine learning algorithm.

[0133] Embodiments of the present disclosure are provided as a computer software program product, which may include a machine-readable storage medium specifically embodying instructions that can be used to program a computer (or other electronic device) to execute a process. Machine-readable media include fixed (hard) drives, magnetic tapes, floppy disks, optical disks, compact disc read-only memory (CD-ROM), magneto-optical disks, ROM, PROM, random access memory (RAM), programmable read-only memory (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), flash memory, magnetic or optical cards, or other types of media / machine-readable media suitable for storing electronic instructions (such as computer programming code such as software or firmware), but are not limited thereto.

[0134] The various methods described herein can be practiced by combining one or more machine-readable storage media containing code according to the present disclosure with appropriate standard computer hardware for executing the code contained therein. Apparatuses for implementing the various embodiments of the present disclosure may include a computer program encoded according to the various methods described herein, or one or more computers (or one or more processors within a single computer) and a storage system having network access to the computer program, and the method steps of the present disclosure may be achieved by modules, routines, subroutines, or sub-parts of a computer software program product.

[0135] Although this disclosure has been described for the purpose of detecting one or more substances and a plurality of microorganisms, this is merely an illustrative description of the invention, and the described structures or configurations are usable, emphasizing other purposes or functions within the scope of this disclosure.

[0136] The terms "machine-readable storage medium" or "computer-readable storage medium", or storage devices, include, but are not limited to, portable or non-portable storage devices, optical storage devices, and various other media that can store, house, or carry instructions and / or data. Machine-readable media may include non-transitory media capable of storing data, but this does not include carrier waves propagating via wireless or wired connections and / or transient electronic signals. Examples of non-transitory media include, but are not limited to, magnetic disks and tapes, optical storage media such as compact discs (CDs) and digital versatile discs (DVDs), flash memory, memories, memory devices, etc.

[0137] For the purposes of this patent application, a computer is defined as a digital electronic machine that is programmed through code written in a computer language and can automatically execute a series of arithmetic or logical operations. In this patent application, a computer is referred to as a "computer software device". A computer software program is defined as the described computer software code that instructs a computer to perform tasks through a series of instructions. Subcategories of computer software programs "software programs" include software computing programs, algorithms, software algorithms, machine learning algorithms, artificial intelligence, artificial intelligence algorithms, and software programs for decision-making by algorithms. Some computer software programs and algorithms are purchased from third parties used in the device, while unique software programs and algorithms are created specifically for the device.

[0138] According to the user's wishes, the UMMDA computer software program is trained to search for all kinds of substances, such as spherical and rod-shaped bacteria. In this type of image recognition "computer vision", an image feed from an image magnification device that processes images readable by a computer software device in real time is used.

[0139] Software programs specific to image magnification devices such as electronic magnification devices, optical image magnification devices "optical microscopes", magnification devices using fluorescence "fluorescence microscopes", super-resolution microscopes "laser microscopes", etc. focus on single and clusters of substances, and each image magnification device may use a specific software program. The computer software program operates in conjunction with a specific computer software device. Computer hardware chip processors such as graphics processing units (GPUs), field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), and computer processing units (CPUs) are used in computer software devices. The computer software program is created to operate on GPUs and CPUs, with the former performing most of the calculations. The computer software program is trained to detect all kinds of substances in real time with high accuracy, and UMMDA can send the results to the user in various ways such as the final printed report, electronic communication, and orally (ummda chatbot). For the purposes of this patent application, the ummda chatbot is defined as a computer software program that uses natural language processing "NPL" to understand the user's questions and provides responses that simulate a human response to ummda users regarding the detection of aluminum substances and the application of biosurfactants.

[0140] UMMDA has many methods and operations managed by at least one computer software device, and many computer software programs that utilize software algorithms and software programs described in various software languages. Some of the computer software programs used by UMMDA are purchased from third parties, such as LiDAR software used in drones and dedicated software used in image enlargement devices. For the purposes of this patent application, LiDAR is defined as "Light Detection and Ranging" and uses lasers in UMMDA drones, robots, and ships to map areas in three dimensions "3D" before an object is acquired. The 3D mapped area provides UMMDA with information about where pathogens and contaminants might be lurking, allowing UMMDA's drones, robots, and ships to focus on specific areas. UMMDA's drones, robots, and ships are used to place substances in a storage layer or sometimes remove substances from the storage layer, regardless of the presence or absence of a mechanical arm, and regardless of the presence or absence of a device for collecting substances or LIDAR. These can be remotely controlled by UMMDA or manually controlled by a user, and can be unmanned or manned. In this patent application, remotely operated flying devices (drones), land moving devices (robots), and water moving devices (ships) are collectively referred to as "UMMDA mobile vehicles".

[0141] The software program is divided into two sections: a software program and algorithm for operating and managing UMMDA, and a dedicated software program with specific algorithms trained or learned to perform specific jobs. In this patent, applications, machine learning, artificial intelligence, computer software programs, and algorithms are all used by the device and the method of the device and are called algorithms. The code language described in computer software for algorithms is both created independently (purchased from a third party) and unique, and in particular, algorithms are developed and described for the device and its method. The most widely used software language for constructing the algorithms used in the device is Python, but many other software languages can also be used.

[0142] UMMDA also utilizes its own software description code dedicated to the operation and method of UMMDA, such as the detection of single or different types of substance clusters. Unique description language software code has been created for various device applications. A set of specific algorithms has been created so that the device can be trained to use a series of rules to solve problems, learn, and predict events. There are numerous UMMDA algorithms.

[0143] The device of the present invention functions as a general-purpose multi-purpose substance detection apparatus (UMMDA) that detects and observes various types of substances collected from the air, surfaces, and liquid sources.

[0144] The device of the present invention functions as a general-purpose multi-purpose substance detection apparatus (UMMDA) equipped with many different operating methods.

[0145] The UMMDA detects substances by having the UMMDA mobile vehicle introduce a substance into a sample reservoir connected to a liquid tube. An image magnification device that interfaces with the liquid tube creates an image feed to a computer software program and a machine learning algorithm.

[0146] For the purposes of this invention, the UMMDA mobile vehicle is defined as a remotely operated flying device (drone), and land mobile devices (robots) and water mobile devices (ships) are collectively referred to as the "UMMDA mobile vehicle." The UMMDA vehicle can be powered by various power supply devices and applications described in this patent application.

[0147] The basic method and operation of the UMMDA is to use the UMMDA's mobile vehicle to collect samples of substances from the air, surfaces, or water sources from indoor or outdoor environments. This enables the UMMDA to provide the UMMDA user with an overall picture of what lurks within humans, plants, and animals.

[0148] The UMMDA has both hardware components and software components. The basic hardware components of the device are a computer software device, a storage device, a liquid tube, a microscope slide embedded in the liquid tube, a mechanical or electronic measurement device with magnification capabilities (image magnification device), a sample reservoir connected to the liquid tube for injecting liquids and substances, a pump, and a computer software program (referred to as a computer software program and algorithm). The basic mobile hardware components are a drone, a robot, a ship, a robotic arm (UMMDA mobile vehicle).

[0149] UMMDA operates in real time, and a person (user), drone, robot, or ship (UMMDA moving vehicle) uses a specific UMMDA method to collect all kinds of substances and deposit the substances into a storage tank connected to a liquid tube. The embedded microscope slide and slide topper are placed above and directly below the image magnifying device. The pump, which is managed by the UMMDA software program, sends the substances floating in the liquid from the reservoir through the liquid tube to the space between the microscope slides above and directly below the image magnifying device. Since the pump is managed by the software program and is programmed to send out the liquid at regular time intervals, the image magnifying device has time to focus on the substances (if any) floating in the liquid between the microscope slides. After focusing, if the UMMDA pump software program does not detect a substance, the pump restarts, more liquid is sent into the space between the microscope slides (replacing the previous liquid), and there is a possibility that potential substances will be detected. This operation is continuously performed, the liquid and substances are sent onto the microscope slides, and when the algorithm detects something, the algorithm is programmed to place a colored box around the substance. The computer software language program and algorithm are trained to detect all kinds of substances from the image feed, and many different algorithms and software language programs work together to operate all aspects and components of UMMDA.

[0150] UMMDA can be operated by the user in two ways. For the purposes of this patent application, the user can be an individual, a group, or an organization such as a hospital. The user can choose to display the substances obtained by depositing the manually obtained substances and the substances obtained by depositing the substances. It can be directly put into the sample storage tank, or UMMDA can be fully automated so that by simply turning on the switch of the device, the substances can be obtained and detected, and the UMMDA moving vehicle can obtain the liquid and substances and put them into the storage tank.

[0151] The liquid tube is defined as a waterproof tube embedded with microscope slides that allow liquids and substances to pass between the slides. The tube is mainly made of transparent plastic and glass materials and can be specifically selected according to its ability to hold mixed liquids and gases regardless of the presence or absence of substances. However, the tube is not limited to these materials only and can incorporate various alternative materials such as transparent or opaque plastics, metals, glass, rubber, plexiglass, silicon, PVC, ceramics, wood, or other materials useful for containing liquids. Due to the flexibility of material selection, the tube can adapt to various applications and environments and can cope with factors such as extreme temperatures and specific applications. Therefore, the thickness of the tube can be adjusted from very thin to quite thick according to its intended use and the requirements of environmental conditions, thereby optimizing the performance and durability of the tube.

[0152] [Methods, Procedures, and Descriptions of the Present Invention] UMMDA, also called the "device", can be used as a closed system where liquids and substances continuously circulate within the device and only new substances flow in from the reservoir. Using this closed UMMDA option, the detected contaminants and microorganisms will be specific to the area where the substances were sampled. This closed method is used in enclosed spaces such as hospitals where the target area is limited. When pathogens are detected in the operating room, UMMDA warns the staff through a warning system such as a blinking light and confines the pathogens. UMMDA can also be an open system where the pump bypasses the reservoir from a large water source such as a lake and continuously feeds new substances and liquids directly into the liquid tube. This open UMMDA method is used in outdoor areas such as beaches where red tides may be predicted by UMMDA. For the purposes of this patent application, a substance is defined as something that has mass and occupies space, and this includes, but is not limited to, biological bacteria, viruses, bacteria, fungi, protozoa, molds, allergens, pathogenic microorganisms (pathogens), non-pathogenic microorganisms (non-pathogenic). Microorganisms, hydrocarbons, metals, oils, human and animal body fluids, fertilizers, chemicals, contaminants, algae, water, steam, liquids, clusters of solids. These are broken down by a blender in the reservoir that rotates continuously when the device is on.

[0153] As time goes by, pathogens and contaminants that cause death and disease in people, plants, and animals around the world are increasing more and more. The recent global pandemic has also produced additional variants and continues to have an impact. With this new device and its method, people around the world should be given a sense of security that the facts derived by the machine and the data supporting them are available in real time through the World Wide Web. This device is based on various components, such as both software and hardware. The description of artificial intelligence in the public domain is not specific to the current device, and the "machine learning" of artificial intelligence is only one component of the overall method. The UMMDA mobile vehicle, liquid tube, image magnifier, reservoir, biosurfactant, and pump method are complemented by a manual application version, are unique, and this device is classified as both a hardware device and a software device.

[0154] With this device, the reporting of threats to society will not be affected by anyone or anything. This new device provides verifiable conclusions.

[0155] The sample reservoir directly feeds liquid and substances into the liquid tube from the top of the reservoir, and a portion of the finely divided substances decomposed by the mixing teeth at the bottom of the reservoir circulates to the top. There are two ways to decompose the substances. When the water flow from the reservoir contacts the substances, a portion of the substances is released either by the blender teeth or by the vortex method created by the blender rotating at the bottom of the reservoir. A small amount of the substances flowing between the embedded microscope slides is sufficient. The pump in the reservoir can be operated according to time intervals and the overall operating period, and can also stop to generate a reverse pump operation to wash away large substances clogged in the tube. This reservoir is the place where the user puts the substances when operating the device manually. The UMMDA mobile vehicle also uses the reservoir to drop, flow, and place substances on the top of the open reservoir.

[0156] This device is autonomous, and computer software programs and algorithms direct, instruct, and make decisions in real time to operate the entire hardware component. A device and an instruction method regarding those hardware components. For specific low-budget applications, a manual-based version of the device is also provided, and the autonomous components vary from full manual operation to automation of specific aspects. The level of automation and the specific method are determined by the price.

[0157] For the purposes of this patent application, a device and its method for detecting, identifying, and displaying substances and final results may hereinafter be referred to as the "substance detection result" or "MDR".

[0158] High performance and the collection of a large number of data points in the environment correspond to the accurate collection of data by the device, and an accurate report of all kinds of substances including pathogens and contaminants is generated from millions of data points. This device can detect millions of data points depending on the length of the liquid tube and the quantity and type of image magnification devices equipped on the liquid tube.

[0159] The components and operation methods of this device are listed and described below. The list of device components is not in order of importance. All components of the device, whether hardware or software, all cooperate to generate the "MDR", which is the final result of detection, identification, display, and results. Each component of the device is necessary to generate the UMMDA MDR. The user can replace a part of the physical application associated with the UMMDA and input specific requirements of the UMMDA, but the algorithm and step-by-step operations of the UMMDA are constant.

[0160] This device has two important parts: 1. Hardware components, and 2. Computer language software programs (software programs) and algorithms. The following section will explain the computer software device. The computer software device is the brain of the device and instructs the methods and operations that work in conjunction with the computer software programs and algorithms.

[0161] The computer software device operates by the CPU (Central Processing Unit, or Computing Processing Unit) and GPU (Graphics Processing Unit, Video Graphics Card, Video Creation Device), which are defined as computer hardware in this patent application. The CPU and GPU devices of the device operate through a series of programmable instructions and hold data in electronic form.

[0162] Regardless of whether the user selects manual options or automatic options, the basic device operations require the UMMDA CPU and GPU within the computing processing device. At least one laptop computer programmed with the UMMDA computer software program and algorithms needs to be connected to the UMMDA. This allows mobile phones, desktop computers, servers, or tablet computers with screens to be connected wirelessly or wired to the UMMDA or laptop for MDR.

[0163] The functions and methods of a computer processing device are as follows: 1. Control the transfer of data and instructions between device components and various components of the computer; 2. Manage all units and components of the computer; 3. Read instructions from memory, interpret them, and direct the operation of the entire computer device. The CPU and GPU of the device can execute faster than humans, perform calculations with 90% accuracy, are related to an area of hundreds of thousands of square feet, and when servers are interconnected for large-scale detection applications such as hospital environments where all acquired data needs to be stored, they can execute thousands to billions of tasks simultaneously (exascale instructions, i.e., 10 to the 18th power).

[0164] The GPU is used in high-performance applications with algorithms that operate in cooperation with the CPU and other processing devices of the computer processing device.

[0165] For the purposes of this patent application, a display screen device refers to a laptop, mobile phone, desktop monitor, server monitor, tablet, and the screens of glass walls and plates that display data from the device.

[0166] In the following section, the software operation components of the device that operate in cooperation with computer software programs and algorithms will be described.

[0167] The device's computer software programs and algorithms can be off-the-shelf or proprietary. For the purposes of this patent application, off-the-shelf products are defined as software downloaded to the device from a third party via the Internet for the operation of hardware components, or software purchased from a store. Proprietary software is defined as code written in a computer language (usually Python) specialized for the operation of the device and its components. The described computer code performs operations, instructions, decisions, develops ways to streamline the operation of the device, and predicts future events. The developed proprietary software is specific to the device and its components.

[0168] For further reference in this patent application, the device means the device described in this patent application and all components related thereto.

[0169] There are two different software programs in this device: 1. An operation, guidance, and systematic approach "method" to achieve results. 2. The algorithm learns from both the acquired operations and data and the prediction of events.

[0170] Both types of software programs (third-party and proprietary UMMDA algorithms) can operate in conjunction, operate individually, or not be used at all.

[0171] The device's computer software program methods and algorithms include specific algorithms that learn from operational mistakes and successes to determine the next steps for the device's guidance, general operation, and management. The algorithm can be either an algorithm that learns from methods, operations, instructions, and the management of the device, the acquired physical data, or an algorithm that predicts future events within the environment.

[0172] The computer software programs and algorithms for the device can be purchased from a third party, built from scratch line by line of code specially developed for the instruction, operation, and learning of all aspects of the device, or a combination of both computer software programs and specific algorithms can be used. There are many such specific types of computer software programs, and they maintain their own gateways for implementing new software upgrades.

[0173] Algorithms and sub - algorithms include various types such as instruction algorithms for the device, decision - making for the overall operation of the device, and machine learning. The algorithms of the device are based on learning from the overall operation of the device, decisions made by the device, learning from failures and mistakes, and "predictive / prediction".

[0174] The software programs and algorithms work together to give instructions, manage, monitor, and make decisions regarding the collection of substances using automated methods. Each method may be integrated with another method or be completely different from past methods, and UMMDA may form new methods from past learning.

[0175] UMMDA has developed algorithms for detecting substances and unique methods for training the operation of all individual components such as pumps, UMMDA mobile vehicles, power devices, charging devices, power - to - power transfer storage, devices, direct wireless charging systems, lighting, adjustable microscope slides, black lights, magnets, cantilevers, reservoirs, blenders, robotic arms, lasers, and image magnifying devices.

[0176] This device is trained to detect any specific type and class of substances. Being trained is defined as computer code developed to detect specific substances in detail by data, images, videos, colors, motility, mobility, shape, size (circumference, diameter), weight, etc. As will be described later in this patent application, other environmental sensors, cantilevers, lasers can also be used for detection.

[0177] Each substance class defined now needs to be "trained". Training as defined in this patent application means manually inputting data into a database managed by the device. The data is defined as images, videos, weights, and other types of data specific to each type, class, category of substances. The types, classes, categories in question are labeled with colors and boxes and listed on a display device. Examples of other types of substance data include the motility and mobility of organisms such as mites. As the data collected by the device increases, the device learns and the need to manually input classes becomes less and less.

[0178] For the purpose of the method within the device, the training of the algorithm is also defined as a computer programmer manually adding data. The entire device learns from all aspects of the method and all the data obtained, constructs a library of the learned data, and predicts events that may occur in the environment.

[0179] The classes of the device and the training algorithm include, but are not limited to, all classes of bacteria, single bacteria - spherical, rod - shaped, spiral - shaped, filamentous, bacterial colonies - spherical colonies, rod - shaped colonies, spiral - shaped colonies, all classes of viruses, viruses - rod - shaped types, crown (spike), spherical, virus - colonies, pests, mites, algae, all classes of fungi, all classes of allergens, all classes of pollutants, common single substances, and clusters of common substances.

[0180] Data labeling is initially done in the singular form and then in the cluster form. The data results will be in the cluster form or the singular form. When the device detects clusters of various types of substances, the clusters are rerouted to the reservoir and the substance clusters are decomposed.

[0181] The next identification of the substance by the device is labeled as follows: at level 1, a colored square box is attached around the substance (the color of the box can be changed according to the user's preference), and it is marked with text beside the box.

[0182] When the substance is displayed as a dark blue box on the observation screen, it is a bacterial rod.

[0183] When the substance is displayed as a dark blue box on the observation screen, it is a bacterial rod.

[0184] When the substance is seen as a blue box on the display screen, it is spiral-shaped.

[0185] When the substance is displayed as a purple box on the display screen, it is a sphere.

[0186] The substance displayed as a yellow square on the observation screen is a pillbug.

[0187] On the observation screen, if an object is seen as a yellow box with a red line at the top, it is one or more pillbugs.

[0188] When the substance is displayed as a light green box on the observation screen, it is a bacillus colony.

[0189] When the substance is displayed as a light blue box on the observation screen, it is a spiral colony.

[0190] When the data is displayed as a red box on the display screen, it is a sphere colony.

[0191] The color box may be changed to reflect black light or pet excrement. There are also hundreds of other combinations of colors that represent specific substances, colonies, clusters, or combinations of substances.

[0192] The color box may be changed to reflect black light or pet excrement. There are also hundreds of other combinations of colors that represent specific substances, colonies, clusters, or combinations of substances.

[0193] At level 2, substances are labeled pink, red, and purple in double boxes. This issue is labeled "Warning". For data labeled "ALERT", refer to the section on "Substances defined as pathogenic and substances not defined". UMD - Detection of unknown substances.

[0194] The components of the liquid tube are described as follows: Device hardware Liquid tube - Inside - Flow of liquid (including substances floating in the liquid) into the liquid tube. This section has the following two components. Device components inside or outside the tube, on or near the tube. The device components inside the tube can also be attached externally, in which case the components can be attached and placed at a location away from the tube. The device components may be present both inside (inside the tube) and outside the tube (outside the tube).

[0195] The liquid tube is one of several components of the device that maintains the flow of liquid.

[0196] In one embodiment, the UMMDA has four components that make up the liquid tube. 1. The tube that goes from the reservoir to the pump is called the "reservoir pump tube". 2. The tube that comes out of the pump is called the "pump outlet tube". 3. The tube connected to the outlet tube of the pump that holds the microscope slide and the image magnifying device is called the "liquid observation tube". 4. The tube that comes out of the liquid observation tube and connects to the reservoir (in some versions, there may be a pump between these tubes) is called the reservoir inlet tube.

[0197] In this patent application, the entire tube system (including all tube components) is called the "liquid tube".

[0198] The flow rate of the liquid throughout the tube is determined by the force of the pump, the diameter and length of the tube, and the temperature inside and outside the tube.

[0199] The capacity of the liquid tube is calculated in gallons (US). This is done by obtaining the amount of liquid in the reservoir and all components of the tube. This is calculated by multiplying the length and diameter of all the tubes and adding the volume of the liquid in the reservoir. For example, for a tube with a diameter of 2 inches and a length of 50 inches, the entire UMMDA tube system is 0.67999841 gallons. A reservoir filled to the fill line with a length of 5 inches, a width of 10 inches, and a height of 10 inches contains 2.16450216 US gallons. When both are added together, the total amount of water in the entire device is 2.84450057 gallons. If the pump contains an air pocket, the volume of the liquid in the pump may or may not be calculated and added to the total volume. For the purposes of this patent application, the liquid tube is defined as the main UMMDA device, and other identical UMMDAs are connected by auxiliary tubes and may be called secondary UMMDAs.

[0200] The tube uses an image magnifying device, a microscope slide, a pump, a light, and a sample container "reservoir". The purpose of this tube is to suspend the substance in a liquid and quickly move the substance between the microscope slides embedded in the tube, so that the image magnifying device can detect the substance in real time.

[0201] The tube can be used alone or multiple tubes can be connected to each other. The length of the tube can range from as small as about 1 nanometer to several miles. The diameter of the tube can be increased or decreased according to a specific detection application. In the case of detecting specific contaminants, usually the diameter of the tube is large (1 inch or more), and in the case of viruses and biological bacteria, the diameter of the tube becomes small (maximum diameter 1 inch). Usually, the tube is transparent and made of plastic, but if the tube is already installed and visibility and detection functions are added, it may be made of other materials. It is possible to renovate currently installed pipes such as municipal water mains and attach the components described in this patent application. Some liquid tubes operate as liquid / wet and / or dry / pseudo-dry liquid tubes, or simply dry tubes. Dry tubes without liquid are for power used for solids that are mixed by an air flow such as a fan and transferred to the tube.

[0202] The tube is an elongated triangular, elongated rectangular, or circular "cylindrical" tube and can be composed of an opaque material or transparent glass, plastic, rubber, silicon, transparent ceramic, fused quartz, polystyrene, polycarbonate, acrylic (PMMA), polyethylene (PE), amorphous copolyester (PETG), polyvinyl chloride (PVC), liquid silicone rubber (LSR), cyclic olefin copolymer (COC), ionomer resin, transparent polypropylene (PP), fluorinated ethylene propylene (FEP), styrene methyl methacrylate (SMMA), styrene acrylonitrile resin (SAN), methyl methacrylate acrylonitrile butadiene styrene, or any combination of materials contained in one tube. The tube can be created using a 3D printer with many of the above materials or combinations thereof. The 3D printer can also construct a tube with a slide embedded therein.

[0203] The tube can vary from a large diameter to a small diameter and from a small diameter to a large diameter, and this trend can continue for several miles. The tube can be of nano size or as large as a municipal water pipe with a length covering several blocks and a height of more than one story. The color of the tube can be clear (transparent) or single-color (opaque), and the tube can be bent. The tube can be of any length, extended to nano size, and can be connected to other tubes extending for several miles, enabling it to be in any shape for the flow of liquids or substances.

[0204] The liquids fed into and out of the tube include, but are not limited to, a single liquid, air mixed with a liquid, a mixture of combinations of one or more liquids, a combination of a liquid and a gas, water, a mixture of a gas and a liquid, and a mixture of a liquid and a solid. One tube may be made of multiple different materials and components. The tube may be a "single long tube" with a continuous length or may have multiple tubes connected. The tube may be too dry, pseudo-dry, semi-dry, or have no air or gas present inside the tube.

[0205] The main material of the tube is usually a transparent plastic tube, but a glass tube may also be used. The material of the tube is composed of the following materials for holding liquids and gases, but is not limited to these: transparent plastic, opaque plastic, metal, glass, rubber, plexiglass, silicon, PVC material, ceramic, wood, and other materials that can be formed to hold transparent or opaque liquids. The tube may be very thick or very thin depending on the application and the surrounding environment (such as extreme high or low temperatures).

[0206] The reservoir for the purposes of this patent application is defined as a waterproof container capable of holding substances and liquids. The purpose of the reservoir "sample reservoir" is to hold liquids, solids, and all kinds of substances. The reservoir is connected to a liquid tube, and substances from the user or the UMMDA mobile vehicle can be deposited in the reservoir. Most reservoirs are equipped with a blender inside that can break down solids and create a vortex in the reservoir. The reservoir is equipped with an interchangeable filter between the reservoir and the liquid tube. The reservoir can be opened, closed, or left open.

[0207] An open reservoir that is not blocked from other external air substances and surface substances is for use in environments where specific substances from a specific area are not important. For example, if a specific substance such as fertilizer contamination is identified in a field, that substance may be found even in a location not too far from the specific area where the fertilizer has moved due to rain, wind, and water runoff.

[0208] The reservoir is closed in the case of a circulation system and left open in the case of a continuous system.

[0209] Among UMMDA devices, some require the system to be closed and deposition of substances only at specific times and locations, while others need the UMMDA device to keep the system always open and process all airborne and surface substances that have been deposited by a moving vehicle, simply floated, or accidentally entered the storage layer without the aid of manual or automatic methods.

[0210] For certain applications, it may be necessary to heat or cool the liquid entering the tube from the reservoir (or the tube itself) using a cooling or heating device. The cooling or heating can occur inside the tube, outside the tube, or when the liquid enters the tube. This is similar to the temperature of the liquid in the liquid tube of a basic water heater in a home, which uses electricity, gas, or solar energy. In some UMMDA applications, it may be necessary to heat or cool the temperature of the liquid entering (or exiting) the liquid tube to facilitate its flow through the liquid tube. When the liquid exits the liquid tube (in an open-tube application such as a pond), the liquid is either continuously pumped or flows into another tube or reservoir called a "biosurfactant treatment reservoir" or a "biosurfactant treatment tube", and after being detected by an image magnification device, biosurfactant is added to the liquid. This biosurfactant treatment reservoir is where the algorithm learns everything about the biosurfactant.

[0211] UMMDA also utilizes biosurfactant applications and tests whether the contaminants detected by UMMDA can be removed, their toxicity reduced, the cell walls of viruses penetrated, or microorganisms removed / altered. If contaminants are detected by UMMDA, after detection by the image magnifying device, the contaminants continue to pass through the liquid tube, and all the liquid flowing within the liquid tube flows somewhere. When UMMDA is turned on and the pump sends the liquid through the tube (with contaminants detected and floating in the liquid), the liquid within the tube can either flow continuously in a closed system, flow back into the water area in an open system, or continue to flow into other tubes or storage tanks according to the user's selection.

[0212] When the user selects the removal of contaminants, pathogens, or microorganisms, UMMDA tests the contaminants, pathogens, or microorganisms in another reservoir that can hold the removal liquid. The reservoir connected to the liquid tube is specific, whereby the reservoir can hold various liquids such as biosurfactants, various combinations and ratios of biosurfactants and other environmental liquid applications, and various dilutions at various liquid temperatures. UMMDA and the image magnifying device, along with the trained algorithm, can learn what applications can remove, destroy, alter, or decompose specific contaminants regardless of the presence or absence of biosurfactants. For the purposes of this patent application, contaminants are defined as toxic substances and microorganisms in indoor and outdoor environments that are impure and toxic and infect humans, plants, and animals through contact or association.

[0213] The liquid tube can be connected to a "biosurfactant treatment reservoir" or a "biosurfactant treatment tube", and contaminants come into contact with biosurfactants and other liquid applications through the tube or reservoir. A separate image magnifying device is installed above or below the biosurfactant treatment tank. In the biosurfactant treatment tube, a contaminant removal identification algorithm can determine whether a mixture of biosurfactant and other liquid environmental applications functions to remove contaminants by comparing magnified images of contaminants before and after biosurfactant application.

[0214] A database was created according to the following criteria: 1. Did the biosurfactant affect the contaminants? Also, what were the types and classes of the contaminants? 2. Where did the contaminants occur, indoors or outdoors, and what was the surrounding situation according to the laser 3D map by the UMMDA mobile vehicle? 3. What else was detected during the operation? Allergens, molds, urine, excrement, metals, etc.? 4. Was the biosurfactant rhamnolipid? If so, what was the exact ratio of monorhamnolipid to dirhamnolipid? 5. Was rhamnolipid mixed with other biosurfactants? 6. Where was the biosurfactant mixed with other environmental liquid applications? 7. What was the carrier used for a specific contaminant? 8. What was the dilution used for a specific contaminant? 9. How much toxicity remained? If it was shown that the contaminants were decomposed by the image magnifying device, which part of the contaminants was decomposed?

[0215] UMMDA tests appropriate remediation applications by measuring the residual impact on the environment and examining whether biosurfactants can actually limit the toxic impact of contaminants on the environment. In the applicant's previous rhamnolipid biosurfactant patent applications, many aspects of rhamnolipid production and use have been described in detail. UMMDA uses another biosurfactant reservoir that mixes different types of biosurfactants with the detected contaminants. As a result, when a contaminant is detected by UMMDA, that contaminant is passed to another reservoir that uses the same detection application, but this time after the contaminant detected in the other biosurfactant reservoir has been mixed with the biosurfactant.

[0216] This device is designed to automatically feed substances into a tube and detect and identify substances quickly and accurately, and the entire device and its operating method are managed by computer software and algorithm programs. By programming the entire device, substances can be detected and identified with a certain percentage of accuracy. The higher the accuracy of the detection and identification settings, the lower the frequency of the intermittent pump, and the time until the pump starts to stop is managed by the algorithm.

[0217] The tubes can be continuous (one tube), connected (two or more tubes), or intertwined so that one tube can enter and exit another tube. The tubes may be perpendicular, parallel to each other, or arranged inside each other. The sizes of the tubes and their connectors vary depending on length, diameter, and material.

[0218] The main purpose of the tube is to hold two microscope slides stacked one on top of the other. In certain observation and detection applications where the ambient temperature is not below or near freezing, a glass tube can be used that can be formed in a section where there is enough space for a substance to pass between the upper and lower parts of the glass tube to replace the two microscope slides. A more durable form of the liquid tube is a plastic transparent tube. The spacing between the slides can be nanometers or several inches. If the tubes are several inches apart, the application is for contaminants. If the space between the slides is small, it is for virus applications. There are high-performance device options that can manually and automatically increase or decrease the distance between the two microscope slides. See the "Microscope Slide - Mechanically Adjusted Slide" section.

[0219] Depending on the type of application, contaminants may move in clusters, but in the display application, it is set to detect only larger cluster types of contaminants. Larger classes of complex contaminants include, but are not limited to, fertilizers, asbestos, metals, oil droplets, parasites, allergens, etc.

[0220] In some cases, the microscope lens (or image magnifying device) may be used without a condenser. In this case, the light illuminating the bottom is replaced by the light covering the inside of the liquid tube. The method of illuminating and detecting the object directly below the lens in this way is called "running tube illumination". The illuminations include DC power supply, electrical power supply, fluorescent lamp, incandescent lamp (heat is also generated), light-emitting diode, neon lamp, halogen lamp, metal halide lamp, high-intensity discharge lamp, low-pressure and high-pressure sodium lamps, electric decoration, etc. For the lights installed inside, light bulbs with waterproof and drip-proof specifications can be used. The same light can also be attached to the outside of the liquid tube and used as illumination or as a heat source. For some high-class tubes (the cost of these options is much higher), it may be necessary to embed lights along one or both sides of the microscope slide or inside the tube itself. Lights can also be added to the outside (external) of the transparent tube. They can be embedded inside or attached to the outside of the tube. For very small substances such as parvovirus (20 nm), specific gas molecules, and metallurgical substances, brighter lights may be required, and double-layer lights may also be needed. Some lights may also be used to heat the inside or outside of the tube or other components of the device.

[0221] The UMMDA adopts a gate system. When the device detects a substance that poses a threat to humans, it automatically closes the system and opens the gate to another auxiliary tube.

[0222] This version of the device is high-end (biological bacteria application) and can detect any of pathogens, viruses, biological bacteria, or unknown substance detection "UMD".

[0223] Each tube is equipped with shut-off valves that can be manually turned at both ends of the tube (for all versions of the device).

[0224] Next, several methods are triggered by the device. The first thing the device does is stop the pump. Whether to extract and re-evaluate the substance or send it to the laboratory can be determined in four ways.

[0225] In certain device versions, each tube can be equipped with its own pump, and the shut-off valve can be rotated 90 degrees to pump the liquid into the auxiliary tube. The tubes can be removed by hand.

[0226] If the device is in warning mode and the version of the device is automated, the second action to be performed (after the pink, purple, and red lights flash) is to automatically turn the valve to block the substance. Then, the tube is disconnected from the device by a robot and transported by a drone. If operating manually, the entire device (or just the liquid tube) can be brought into the laboratory for further evaluation.

[0227] The nanomechanical arm that can be attached to the tube is requested by the device to reach the isolated substance, collect it, and transport it to another sealed storage, or to a drone, robot, or ship equipped with a sealed storage for transporting hazardous substances.

[0228] While the above procedures are being executed, a warning system is used as an alternative method simultaneously. In this alternative warning method, the device is designed to post information to a non-public system for law enforcement agencies, governments, and medical professionals within the area. This device is designed with several options for warnings.

[0229] The next step is to send an alert email. The email can be sent through the CPU, the information can be printed, and sent by drones, robots, or ships. Also, this device has a way to call entities from a pre-set contact list from a laptop provided with wireless service through an Internet service provider.

[0230] The problem is defined as "ALERT", the problem is boxed, and pink, purple, and red lights flash on the display screen device. On the display screen device, purple and pink lights with red stripes flash, and on the device, the purple light flashes. When biological bacteria or unknown substances are detected, the device automatically stops, issues a warning, and closes the tube to contain the substance. The algorithm is designed to turn on a pump (also called the "auxiliary tube" or "secondary tube" and connected to the device after the liquid observation tube part) to send the threat into another liquid observation tube, and after the threat circulates through another reservoir holding a cocktail of biosurfactants, it re-evaluates the threat using another image magnification device and a microscope slide. After circulating through a different liquid tube UMMDA (the second device with the biosurfactant option or called "Ridcrobe"), if the biosurfactant cocktail can break down the cell wall of the virus, decompose the bacteria, or decompose the contaminants, the (main "primary") liquid tube device turns on again and the operation resumes.

[0231] The last resort after a pathogen or bacteria warning is displayed in the device list is the database on the Internet. The website "Global Virus Network" (https: / / www.gvn.ai) that utilizes artificial intelligence warns all government agencies and medical institutions around the world about the unknown substances obtained by the device and provides access. If necessary, GVN initiates contact tracing to prevent the spread of infection. This device can also accurately identify the location of the substance through GPS according to the user's wish. A mobile phone with GPS is always connected to the device to accurately identify the user's location. For the same purpose, tracking devices are also installed on drones and robots.

[0232] The purpose of the magnet is to attract metal to the area under the lens inside the tube. To observe and detect contamination that may involve metal, a magnet that attracts metal is embedded in the tube, and the magnet is placed directly below the lens so that the lens can observe metal particles. The magnet can be placed outside or inside the tube. The magnet placed outside releases metal particles and dust to a place away from the tube that may be pulled for a short time, and the pump removes metal pieces inside the tube.

[0233] The robotic arm is used to collect, capture, acquire, transport the substance, and store it in the UMMDA storage. When it is necessary to remove substances from the tube, including but not limited to metals, microorganisms, pathogens, viruses, biological bacteria, etc., the nanomechanical arm grabs the specific substance and places it in another reservoir, tube, or shipping container so that it can be evaluated or shipped later.

[0234] If the substance detected by the device is a threat to the living body, further evaluation may be required. In that case, the robotic arm fixes the substance, and further evaluation is performed by other sensors such as lasers and cantilevers for determination. If the problem requires more careful evaluation, a higher magnification is maintained in another tube for further evaluation.

[0235] The next section is the image magnifying device section used in the device. In this device, various types of devices and lenses are utilized.

[0236] The image magnifying devices utilized by this device are diverse. For the purpose of understanding the magnifying component device of the device, the phrase "where an image magnifying device is used" can be any image magnifying device described in this patent application.

[0237] The image magnifying device defined for the purposes of this patent application is a mechanical or electronic magnifying measuring device with a magnifying function. The optical lens magnifies the apparent size (physical size) of the substance. Inside the tube, depending on the application, there may or may not be a need for multiple image magnifying devices (which can be focused individually, together, manually, or by the device's algorithm). Image magnifying devices that detect the movement to accurately identify an object, details of cell structure, mobility, motility, color, size, and shape can also be used with this device.

[0238] A microscope slide is embedded inside the tube. The image magnifying device is placed directly above the slide for detection, and the lens is connected to computer software and an algorithm program to detect the substance in real time. There are basic optical lenses, magnifying lenses, lenses for attaching the pedestal to a microscope, folding mirror lenses, optical microscopes, electron microscopes, super-resolution microscopes, fluorescence microscopes, X-ray devices, magnetic resonance imaging devices, nuclear magnetic resonance devices, lenses of telescopes, etc.

[0239] If specific magnifying devices such as X-ray devices or magnetic resonance imaging devices are required, the entire device is equipped with a liquid tube. Specific methods such as discharging the liquid are required, and the residue is captured on the stage inside the machine, but water or liquid needs to be removed first as it hinders coating.

[0240] Some image magnifying devices do not use a microscope condenser. Instead of a condenser, lights are embedded in the tube portion under the image magnifying device (and the nearby portion for illuminating the surrounding light) to illuminate the area between the slides of the microscope. Some optical lenses are equipped with their own computer software and algorithm programs for managing all the optical lenses of the entire tube both internally and externally. When only using lights instead of a condenser, the brightness of the light necessary for accurate observation and detection of substances is managed by the computer software and algorithm programs. The image magnifying device can be installed anywhere outside the tube. The image magnifying device can be close to or far from the tube. Specific optical magnifying lenses can also be arranged inside the tube. There are no restrictions on the number of image magnifying devices, the types of optical magnifying lenses, or their combinations that can be used in UMMDA. The algorithm learns from the data obtained from the image magnifying device and the optical magnifying lens and transfers the data to other algorithms within the device. The focus adjustment of the image magnifying device can be done manually by one person or by multiple groups where each person in the group manually adjusts the focus on one image magnifying device. The focus of the image magnifying device can also be operated by an optical magnifying lens focus algorithm or a third-party software program and can be automated. The tube component has its own computer software and algorithm program for managing the entire tube device.

[0241] In a specific version of the device, the entire microscope (and its components) can be used. The entire microscope is defined as all the parts included when purchasing from a vendor that generally sells microscopes. The components include the following, but are not limited to electrical connections, the base, the microscope slide platform, lenses, lighting devices, and condensers.

[0242] Depending on the length of the tube, there may be various types of image magnifying devices as described in this patent application. The image magnifying device can be installed outside the tube, inside the tube, or at a location away from the tube. The image magnifying device (including an optical magnifying lens and changing to include a foldable optical system and a foldable mirror lens) can be arranged on the top of the tube, below the tube, on the side of the liquid tube, or on the truss supporting the liquid tube.

[0243] The foldable optical system is an optical system that bends the beam to make the optical path much longer than the size of the system. An example is a prism binocular. A prism binocular has two right-angled glass prisms that apply the principle of total internal reflection. The incident light ray is reflected twice inside, and the viewer's field of view expands. Therefore, prism binoculars are preferred over conventional binoculars. In this version of the device, only glass microscope slides are used.

[0244] The microscope slide is directly below the image magnifying device. For the purposes of this patent application, all microscope slides will hereafter be referred to as "slides" and can have different characteristics. For the purposes of this patent application, the slides in this patent application can be any type of microscope slide. The thickness of the microscope slide can vary from extremely thin to very thick. There are usually two microscope slides in the liquid tube, and both slides are embedded or fixed in the liquid tube. A slide topper for oil immersion applications (placed outside the top of the tube) can also be used. The tube usually has an upper slide and a lower slide, with a certain distance between them. The tube can be installed horizontally or vertically with respect to the ground. In the design of the tube, the slides can be arranged one on top of the other vertically, or in some cases, the slides can be arranged parallel to each other inside the tube. The distance between the two slides is different. The slide can be made of any transparent material. Most slides are made of glass.

[0245] For applications such as observing only contaminants, the distance between slides is increased for large single substances and large clusters that can be observed, detected, and identified. If the slides are placed very close to each other within the tube, the application may have filters and screens that allow only very small substances, such as a single virus, to flow between the two slides. As described below, with adjustable slides, the distance between the slides can be adjusted according to various applications. As an example, when the device is installed in a hospital, the distance between the slides is small, and a filter is placed in front of the slides so that only viruses and bacteria, if present, can flow between the slides and pass through the slides.

[0246] In some cases, only one microscope slide may be used per tube. As an example of this, a manual application is used, such as when a user wants to display larger substances to look for dirt and dust particles in a school science project.

[0247] This device can be equipped with an adjustable microscope slide option for advanced applications for observing small substances such as viruses. One or two microscope slides can be set on a geared track, and a small mechanical device can lower or raise the one or two slides on the track.

[0248] This device can also utilize a three-tier stacked slide system. The top slide is on top of the second slide, and the top slide is close to the second slide. In the device, another third slide is used where the difference in distance between the second (middle) slide and the third bottom slide is doubled.

[0249] A method for adjusting a microscope slide, where the space between microscope slides in a liquid tube can be increased or decreased manually by the user or electronically by the device. There are two ways to operate the adjustable slides. One way is that there is only one adjustable microscope slide, which is the lower slide, and the upper slide in the liquid tube is embedded in the liquid tube. The second way is a hierarchical three-slide system where the upper slide is fixed and the two lower slides are adjustable. Another completely different way is to embed the upper embedded microscope slide in the liquid tube (non-movable), make the lower slide adjustable, and place the upper slide on the upper slide outside the liquid tube (non-movable).

[0250] This device can be equipped with three adjustable microscope slide options, enabling advanced identification and detection of various input forms such as large water masses, surface substances, and aerial substances where the device operates at a higher level. To detect large substances, the space between the second and third slides can be set to 1 inch.

[0251] The next section is the pump section, where the pump intermittently feeds the liquid containing the substance in and out of the tube (placed at both ends of the tube).

[0252] The tube is equipped with a pump for pumping liquid into or out of the tube. The pump can be installed at any position inside the tube, arranged outside the tube, or attached to any position of the tube. The pump can pump out liquid, air, substances, or any combination of these. Pumps vary from nano-sized ones to large-scale industrial tubes such as large municipal water pipes. The tube can be connected to other tubes to create a circulating flow, or both ends of the tube can be open to allow liquid to flow continuously like the sea. The pump is controlled by a device to enable time changes between intermittent pumping, and in order for an automatic focus application to focus, it is necessary to increase the time that the substance stays between under the lens and the slide. When the time to focus on the substance becomes a problem, there may be a need for multiple pumps to move the liquid through multiple parallel tubes with multiple lenses in order to obtain more data in a shorter time.

[0253] One end of the tube can be placed higher than the other end to utilize gravity and allow liquid or water to flow through the tube without using a pump. This method can be used when the device is installed in a physically lower location than the water area, such as an artificial lake on a hill where the device is installed in a low place of a lake. If the UMMDA operation is in the sea where there are masses of substances such as seaweed and discarded fishing lines, a screen or screen level can be installed in front of the pump to filter out larger substances. Screens can be placed one after another, and the space between the screen meshes may become narrower. The pump is designed to rotate in reverse for backwashing to wash away the debris clogged in the screen. The pump may be placed slightly below the water surface to avoid heavy substances that tend to accumulate near the seabed. If substances on the seabed are needed, a robot or ship equipped with a mechanical arm can collect the substances and store them in a storage tank on the water surface where the device is installed.

[0254] In the following section, the detection of blood, urine, and semen using a black light will be described.

[0255] When a black light is attached to the UMMDA mobile vehicle, a camera also mounted on the UMMDA mobile vehicle can show the user whether there is blood, urine, or semen on the bedding, floor, rug, and wall. These images can be transferred to the UMMDA and can also be transferred to a laptop, either wired or wirelessly, or uploaded to a command center for further evaluation.

[0256] In some embodiments, a black light can be attached to the present disclosure, whereby a camera placed on the black light can show the user whether there is blood, urine, and semen on the bedding, floor, rug, and wall. These images can be transferred to a control unit, from which the images can be transferred to a laptop, either wired or wirelessly, or uploaded to a command center for further evaluation.

[0257] In the following section, the method of delivering results from the UMMDA will be described.

[0258] The results of detection and identification are delivered to the user in the form of printed results, verbally communicated results (UMMDA chatbot), electronically transmitted results (email and text), or are displayed on a glass board where the form and level of the results can be visually changed or manipulated through sign language and light codes. This device can also project the results onto the glass wall, another display screen such as Dragontrail, Xensation, etc. The data and explanations of the results, photos, videos, types of data results, and prediction information can also be viewed on Zoom or Google Meet.

[0259] Henceforth, all types of results will be referred to as "UMMDA results".

[0260] From the results, more detailed data can be checked on length, width, weight (if necessary), color, motility, mobility, circumference, diameter, spikes, crowns, surface descriptions, and clusters of substances or single shapes. At level 2 of the viewing report, not only text but also videos and images can be sent. The results also include various colored fonts indicating the contamination level of the substance, language selection, details of the result and data explanations, maturity and age of the substance, and scan time.

[0261] The communication software program provides text-to-speech communication with the device and speech-to-text communication with the device through the settings panel of a computer connected to the device by wire or wirelessly, such as a phone, tablet, laptop video / monitor, server, or device. The results from the device are communicated by the device, thereby enabling responses and questions (by both the user and the chatbot). The microphones of any phone, tablet, laptop, server, or desktop can interact with the device via the communication software program or the "UMMDA chatbot".

[0262] There are three ways for substances to enter the storage.

[0263] By the user (manually), the direct pump within UMMDA, or the UMMDA mobile vehicle. Before this can happen, the substances need to be captured, collected, or obtained using various methods.

[0264] Substances can be collected from water areas or surfaces, or collected from the air and detected by UMMDA. Substances include solids, liquids, and gases. Substances can be collected manually by the user, automatically by the UMMDA mobile vehicle, or a combination of both. There are two ways for substances to enter UMMDA. Either send the liquid directly into UMMDA or deposit the substance into the UMMDA reservoir. If the manual version is selected (the UMMDA mobile vehicle is not used), the user collects the substance by hand and puts the substance into the liquid tube reservoir.

[0265] In the liquid, there may be a high-density substance "substance cluster" throughout the liquid, or there may be a low-density substance, or there may be only a single microorganism, or there may be a plurality of molecules such as more than 15 trillion molecules like water droplets. The liquid can be easily pumped out like water and can easily flow through a liquid tube, or it can be in the form of a thick liquid contaminated with contaminants, or the liquid itself can be in the form of a thick liquid like ethylene glycol. If the device determines that the density is too high for the liquid to pass through the tube (the pipe flow meter is installed in the liquid tube), the pipe flow meter software shuts down the UMMDA. It is necessary to drain or clean the liquid from the liquid tube and the reservoir. Depending on the level and density of the substance, it may be necessary to physically clean or replace the filter between the reservoir and the liquid tube. This device monitors the flow rate through the liquid tube by a pipe flow computer (flow meter) and determines whether the pump in the liquid tube is under load. The pressure in the pipe can also be calculated as an indication that the pump is under load. In some cases, water may be added to the reservoir or the liquid tube to facilitate the flow of the liquid. If oil is present, the oil may be diluted with a biosurfactant or a solvent in the reservoir layer. For the purposes of this patent application and this section, substances can be mixed with liquids, liquids can be mixed with substances, and gases and vapors can be mixed with both.

[0266] UMMDA manual mode - The user needs to use a hand with a cloth to wipe the surface with the cloth and rinse the cloth with the liquid in the reservoir. The user can also use an instrument such as a small gardening rake to gently tap or pull to collect the substance on the surface.

[0267] Continuous and cyclic method. There are two ways to collect liquid and water. There are two ways to send liquid through a tube to optimally detect substances. In the "continuous method", an unlimited amount of liquid enters the system. This method is used in large water areas. A finite amount of liquid is in the "cyclic method". This method is used when substances are deposited in a storage tank, and the liquid and substances in the whole system (liquid tube and storage tank) become constant.

[0268] This substance is obtained from water sources such as small rivers and streams (running water), and large water areas such as lakes and seas. Pumps can be installed anywhere where water is available. The sizes of pumps vary from nanoscale to very large pumps used in municipal water treatment facilities. When using the continuous method, the liquid can be sent into a reservoir or bypass the reservoir and be sent directly into the UMMDA liquid tube. Neither the UMMDA mobile vehicle nor the user is used for the continuous method or direct pump injection from a water area to the device.

[0269] This method enables either discharging the liquid in the reservoir from a drone or robot and replacing it with new liquid, or leaving the reservoir as it is and overflowing it so that the excess liquid flows from the side of the reservoir. When using this method, the device can be installed on a sloping hill, and the excess liquid can flow directly back to the water source. Alternatively, the liquid may flow out from the side and flow into a nearby drain or sewer.

[0270] Water from a water area such as the sea can also be pumped into a reservoir equipped with a mixer. When the water source (water area, small river, lake flow, municipal water treatment facility) is far away, a drone or robot is required to transport the liquid from a tank equipped with a pump and fill the tank with water or liquid.

[0271] Liquid is fed into the liquid tube from water areas such as lakes and seas. In this method, a static operation mode (the UMMDA mobile vehicle is not used) where the device is installed near the water surface is used. The liquid tube is open at both ends, and pumps are arranged at the beginning of the liquid tube, and if necessary, in the middle and at the end of the liquid tube. In most cases, in large water areas, various types of microorganisms, substances, organic matter, and inorganic matter are flowing in the water. As a result, the pump can capture any type of substance in water areas such as small rivers or water channels. The pump can be installed at the bottom of the water, at any location between the bottom and the water surface, or on the water surface or the coastline to collect liquid, liquid substances (mixtures of liquid and substances), and substances on the bottom of the water (hereinafter referred to as mud).

[0272] To repeat, there are two ways for substances to enter the UMMDA. One is to directly feed the liquid from a large water area into the UMMDA (hereinafter referred to as the "UMMDA continuous method"), and the other is to deposit the substance on the UMMDA storage layer. When using the continuous method described above, the liquid can be pumped into the reservoir or directly fed into the UMMDA liquid tube by bypassing the reservoir. When using the circulation method, an accurate amount of liquid is circulated until the detection of substances is achieved, or no substances or new data are shown in the liquid of the entire system, and no more liquid flows into the entire system through the reservoir. When using the circulation method, the substances that are detected and the classes are identified will create a log of substances of the same class that have been identified and detected more than 10 times. The liquid entering the storage can also be dropped / dripped / placed using gravity by a stationary robotic arm or a robotic arm attached to the UMMDA mobile vehicle. The user can manually obtain substances and liquids and thereby choose to put the substances and liquids into the reservoir.

[0273] The total amount of liquid and substances in the system cannot reach a constant level all at once. The purpose of this method is to obtain a more accurate dataset because the liquid and substances continuously circulate through the system, increasing the likelihood that the substances in the liquid are sent through the space between the microscope slides in the liquid tube. If the UMMDA circulates the liquid over a specific period of time (duration) and the same substance is detected more than 10 times, the device either sends a message, talks to the user through a chatbot, or blinks green to indicate that the device is ready to add more liquid or substances to the reservoir. The same type of notification, or a light that is half brown / half yellow, means that the system needs to be drained or the filter in the reservoir needs to be replaced. A blinking white light means that the filter needs to be replaced. There is a certain amount in this method. The user or a drone or robot can start this method by randomly placing the tube in the water or by selecting the UMMDA 3D view. In the UMMDA 3D view, the UMMDA algorithm instructs the UMMDA where the drone or robot can place the extension tube for the pump connection. The algorithm is learning where to place the extension tube and where not to place it.

[0274] Closed systems are typically for pathogens or biological substances in hospital, military, and law enforcement applications. Against external airborne and surface substances (with a tight seal), they are for biological bacteria, pathogens, viruses, such as in a hospital environment where various pathogens lurk in the air and on surfaces. For example, specific substances obtained from specific areas, such as certain substances obtained from the emergency treatment room where there is a lot of human traffic and monitoring is required, are important applications.

[0275] As another example, a hospital with severely burned patients cannot be affected by anything from the outside. Since there is no skin to protect against invading pathogens, this specific victim can use a cotton swab placed in a sterilized tube for transportation so that damage to the patient and contamination of substances are limited.

[0276] For the UMMDA, this learning process is continuous. Other methods of collecting substances from surfaces, air, etc. will be described in the next section.

[0277] As described in the previous section, substances and liquids can be transferred to the liquid tube device via a pump installed in the water area or injected into the UMMDA reservoir. The UMMDA can be operated manually or automatically when collecting substances. In the manual method, physical labor by the user is required to obtain the substance by hand. In the automatic method of capturing substances (hereinafter referred to as "automation"), a UMMDA mobile vehicle is used. The UMMDA can be programmed to utilize both the automated method and the manual method simultaneously.

[0278] The methods for obtaining and capturing substances deposited in the liquid tube (the tube may be dry) are as follows: 1. UMMDA mobile vehicle using fabric and screen mesh materials. 2. UMMDA mobile vehicle using columns. 3. Dabbing and dragging method by the mechanical arm of the UMMDA mobile vehicle. 4. Dabbing and dragging method without using the mechanical arm of the UMMDA mobile vehicle. 5. Adhesive substance method UMMDA mobile vehicle equipped with a mechanical arm. 6. UMMDA mobile vehicle adopting the adhesive substance method without using a mechanical arm. 7. Mobile vehicle equipped with a mechanical arm for picking up objects. 8. Mobile vehicle that rotates a fan while charging with DWCS.

[0279] Using these methods, there is only one opening at the top of the reservoir, and the UMMDA mobile vehicle inputs, places, unloads, discards, or drips a small amount of mixed liquid and substances into the reservoir. Figure 1 shows a "reservoir opening" that can open, semi-open, or almost completely close the top of the reservoir, and is connected to a liquid tube. The blender and pump in the storage continuously circulate the liquid, and new substances are input into the system through the storage. The liquid is filtered when the software program determines that the filter is clogged when there is no filter, when the circulating liquid is already saturated with the detected substances, or when the liquid in the entire system reaches its maximum capacity. When the water level in the reservoir exceeds the full water line, it reaches its maximum capacity.

[0280] Automated applications typically obtain liquid from large water areas such as backyard ponds (after mapping a 3D view of the area). Manual applications are not as accurate because the amount of data obtained is limited and the substances can be contaminated by humans. Using drones or robots, many substance samples can be collected within 24 hours. Since drones and robots can continue to deposit substances in the reservoir, humans may become tired and start making mistakes by collecting samples from the same area where drones and robots are programmed to collect samples from every part of the water area. This method makes it possible to either drain the liquid from the reservoir of drones or robots and replace it with new liquid, or leave the reservoir as it is and let it overflow so that the excess liquid flows from the side of the reservoir. Using this method, the device can be installed on a sloping hill, and the excess liquid can flow directly back into the water source. Alternatively, the liquid may flow out from the side and into a nearby drain or sewer.

[0281] The UMMDA mobile vehicle uses fabric and screen mesh materials. A woven mesh material for capturing airborne objects such as drones, robots, and ships. The sturdy frame of the UMMDA mobile vehicle has a metal, plastic, and cloth mesh attached to collect substances in the air. The air flow is generated by both the movement of the vehicle and the movement of the propellers of drones, robots, and airboats, "propeller wash". By creating an air flow through the woven material, substances in the air are trapped in the small holes of the mesh. For the purposes of this patent application, substances in the air are defined as any kind of substance floating in the air, including dust, microorganisms and contaminants that may be attached to skin cells or a mixture of solid particles and droplets. These substances in the air can be trapped in fabrics such as metals, plastic fibers, or any woven material. The woven materials may be one or more different materials. For the purposes of this patent application, the fabric material means any kind of material or different materials woven together to form a mesh placed inside or on a solid structure such as a cylinder or solid frame attached to the UMMDA mobile vehicle. By holding this device attached to this sturdy frame mobile vehicle surrounding the mesh in place, it is used to capture substances floating in the air for testing with UMMDA.

[0282] After capturing some substance from the air, the mesh is "rinsed with liquid" while on top of a reservoir connected to a liquid tube and flushed with the liquid. The suspended substances captured in the mesh are sent to the reservoir with the cleaning liquid and pumped through an embedded microscope slide for detection. For the purposes of this patent application, this process is called UMMDA mesh treatment and washing to the storage layer of the sediment.

[0283] Each UMMDA mobile vehicle has its own method of collecting substances in the air and discharging the collected substances into a UMMDA reservoir connected to a liquid tube.

[0284] The drone captures substances in the air using a mesh in the column of the propeller tube. The propeller wash pulls (or pushes) air through the tube, causing substances floating in the air to clog the mesh. When the drone finishes tracking the floating substances within a specified area, it lands at the exact position of the reservoir on the charging pad to charge the battery. This charging pad is connected to a device and supplies power to the pad to enable charging of the drone while washing the mesh inside the drone. The pad is waterproof and blocked from the liquid used to wash away some (but not all) of the captured substances from the mesh. Since the drone and the column of the mesh are directly placed on the wireless charging system pad (DWCSP), the rinse containing the substances captured from the air is transferred (dripped or flowed) to the reservoir along with the liquid dripping from the rinse.

[0285] There is an inlet in the column of the drone, and water or a liquid flow is sprayed into the inlet from the reservoir. The substances mixed with water or the liquid are washed away from the mesh and directly dropped (transferred) into the storage tank.

[0286] Due to the propeller wash from the propeller, air is drawn into the column, and dust, substances, and substances attached to the dust are captured by the screen. After flying for 15 minutes, the drone docks on top of the reservoir connected to the liquid tube and charges on the charging pad while discharging the column of substances captured by the screen.

[0287] Both the columns of the drone and the robot maintain a 45-degree inclined knitted mesh that occupies only half of the column diameter. The reason for the position of the screen (45 degrees) is to enable the liquid rinse to flow directly through the column to the reservoir connected to the liquid tube. The nozzles from the reservoir are arranged to directly flow water or another type of liquid into the column portal while the drone is charging.

[0288] An airboat can capture airborne substances by placing a screen in front of the propeller. For the purposes of this patent application, an airboat is defined as a floating device equipped with a propeller on the water surface for use as a propulsion device on water. When water flow is injected into the woven mesh, water drips into the funnel, and the water flows from the funnel into a water storage tank connected to a liquid tube.

[0289] Robots utilize various methods to acquire substances in the air. In most UMMDA detection applications, drones are used to capture airborne substances for UMMDA meshing and cleaning. In some versions of UMMDA, drones are not used, and only robots are used. Some airborne substances need to be tested with this UMMDA robot version. As an example, in a care facility where both staff and residents are permitted to walk around inside the robot on the floor, flying vehicles can be a cause of stress. In this UMMDA version, the robot uses fans in a row of screens, and the airflow induced by the fans captures substances with both the mesh and the fan blades. The pillar of the robot is placed higher than the edge of a reservoir connected to a liquid tube, and the robot can sit on the DWCSP and charge while the pillar is tilted at a 45-degree angle. A water hose can be manually inserted into the upper part of the column, and water can be flowed through the column to wash the substances into the water storage tank.

[0290] A screen with or without fabric can be attached to the bottom of the drone, and the screen serves two purposes. These are installed under the propeller (propeller), and the propeller is cleaned and substances are collected by the airflow. Indoor and outdoor air usually contains suspended substances such as dust, allergens, mold, and pollutants. The dust that accumulates on the screen usually contains other substances attached to the dust. The screen is attached above, inside, or to the landing device of the UMMDA drone, and no matter where the drone is installed, airborne dust is collected by the air passing through the screen.

[0291] In the method of introducing into the reservoir by drone, a rail crossing the upper part of the reservoir is installed at the opening of the reservoir. Since the screen is small enough to pass through the rail, the level of the liquid in the reservoir is just below the rail. When the drone is parked on the reservoir rail, the screen and the substances collected on the screen sink into the reservoir.

[0292] The user can reproduce this method of manually hanging a cloth over the fan and finally collecting the substances. After turning off the reservoir blender, the user can manually place the fabric into the reservoir (below the water surface), which will release some substances into the reservoir. The user can also wring out the liquid from the fabric by hand after placing the fabric below the water surface in the tank.

[0293] Method of depositing substances from the UMMDA moving vehicle onto the upper part of the storage layer.

[0294] By this method, the UMMDA moving vehicle can deposit substances on the UMMDA storage layer in various ways.

[0295] By using a mechanical arm "arm" on the UMMDA moving vehicle, the arm can put the substances into the reservoir with little splashing.

[0296] When splashing is not a problem (detection of allergens is the main purpose of the user and allergens are everywhere), a drone flying over the reservoir can drop a substance sample into the reservoir. In that case, although some splashing occurs, it may be overlooked due to gusts of wind causing splashing and the substance falling outside the reservoir. Or, the liquid or substance can be dropped directly onto a conveyor belt so that the end of the conveyor belt comes above the reservoir.

[0297] The UMMDA method of collecting substances from the surface. There are two methods of collecting substances from the surface. The UMMDA mobile vehicle adopts the method of wiping with a cloth. When the user selects the manual wiping method, the user can wipe the surface with a cloth and precipitate the substances in the same way as sinking the cloth below the water surface of the water storage tank. In the water surface collection method by the UMMDA mobile vehicle, a mechanical arm is used, which grabs the cloth with claws, wipes the surface with the cloth, and sinks the cloth below the water surface of the reservoir. The mechanical arm can also use a method of winding the fabric around the mechanical arm and touching, wiping, gently tapping, or dragging the fabric along the surface to collect the substances in the warp and weft threads of the fabric and the spaces between them.

[0298] There are various operating methods for the drone as a mobile component of UMMDA. UMMDA maps the 3D view of the area used for substance detection. It acquires substances in the air, collects substances with prop wash and a screen, and uses a wiping method with a mechanical arm and a cloth to acquire substances on the surface. The UMMDA drone for transporting substances can be equipped with a mechanical arm for transporting substances or depositing them in a storage tank. Repair. If there are problems such as leaks, blockages, or mechanical failures in UMMDA, the drone may be able to be remotely operated by technicians via a camera and a mechanical arm to correct the problems. This device also has the option of using a drone support robot to repair the problems of the device.

[0299] There are various operating methods for the robot as a component of UMMDA. UMMDA maps the 3D view of the area used for substance detection.

[0300] The robot wipes, gently taps, or drags with a cloth to acquire substances from the surface of the ground. The robot can also transport substances and put them into a storage. The UMMDA robot can be equipped with a mechanical arm to transport substances identified as IDK to the nearest research institute for further evaluation. The robot may also transfer an object to the UMMDA drone for further transportation.

[0301] If there are problems with the device such as leakage, blockage, or mechanical failure, the robot may be able to correct the problem by a technician remotely operating the robot via a camera and a robotic arm. There is also an option to use a robotic support drone to repair the device's problems.

[0302] The robot may also collect substances in other ways, such as rolling a sphere on the surface. Layers of spheres made of different materials are arranged inside each other, each sphere is hollow, and the spheres get smaller as they approach the center of the sphere. The spheres are divided into multiple layers, and there may be holes on the surface of each sphere. When the sphere is rolled on the surface, the substances adhering to the surface of the sphere gather. Then, the sphere is submerged by the robotic arm into a reservoir below the water surface. Part of the substances on the surface of the hollow sphere is released into the storage for detection purposes.

[0303] There are various operation methods for the ship as a component of UMMDA. UMMDA maps the 3D view of the area used for substance detection. UMMDA can be installed and operated on the ship. A pump can be installed on the ship to send liquid from the water area into a water tank on the ship.

[0304] The UMMDA hydrofoil can utilize a mechanical arm with a cup to collect water and pour it into a UMMDA reservoir on the shore or on a boat or ship, thereby collecting substances from the water surface. The watercraft also includes an airboat.

[0305] Mechanical arms can be fixed, mobile, attached to the UMMDA, or fixed to the device. They can also be operated remotely, manually, or automatically by the UMMDA. In this patent application, a mechanical arm is defined as a large or small (nanotech size) arm that mimics the movements of a human arm with fingers. In this patent application, the mechanical arm and the robotic arm are interchangeable and can be operated by the device (automatically) or the user (manually), and will be referred to as the mechanical arm hereinafter.

[0306] In this application, mechanical arms are used for various purposes.

[0307] In this patent application, substances are collected, captured, transported, and separated. They place, drop, throw, gently tap, drag substances, obtain substances for detection using objects or fabrics, or are submerged in containers by the UMMDA or the user. An object that may have a substance on its surface is submerged above the reservoir. When the object is submerged in the liquid of the storage tank, a part of the substance attached to its surface is released into the circulating water by the blender. The mechanical arm can submerge itself or an object with a substance attached to the surface held by the mechanical arm.

[0308] The mechanical arm can be attached anywhere on the device, next to the substance storage portal, to drones, robots, and ships that may be required for problems related to other UMMDA mobile vehicles. The mechanical arm uses a wiping method with a cloth to collect substances and deposit them in the storage tank.

[0309] The sticky substance container is used to apply a sticky substance to the surface of an object or fabric to attract, capture, and hold the substance on the surface of the object, and the object is immersed in the sticky substance container (slightly, completely, or at any position in between).

[0310] For the purposes of this patent application, a container is defined as a container that holds a solid, viscous, or liquid adhesive substance, or any other type of container made of any material that can hold a liquid, solid, or a mixture of both, whereby the container can be fixed at the top and can be opened and closed or mechanically operated by the user. The operation is automated and there is no leakage. The purpose of the container is to enable the user to manually immerse an object in the container or to enable a UMMDA robotic arm (the arm only, the arm and claws, or the claws that hold an object) to be submerged below the surface line of an adhesive substance such as a liquid or viscous protein. There may be more than two types of adhesive substances mixed in the container.

[0311] For the purposes of this patent application, a soluble substance dissolves in a liquid, usually water. The mixture is a clear solution. The solid that dissolves is called the solute. The solution easily passes through a liquid tube. Some of the adhesive substances are soluble. In this application, insoluble substances that dissolve only in liquids other than water can also be used. For these, liquid tubes are used instead of water tubes. For example, when putting a protein into a reservoir filled with water, water is required to emulsify or release the protein and the substances attached to it into the reservoir.

[0312] The adhesive substances for the purposes of this patent application are silicone starting with PEG, natural hair shampoo, protein, bacterial secretions, salts, honey, sugar, powdered milk, cooked rice, etc., but are not limited thereto.

[0313] By means of the reservoir of this device, the substances introduced onto the surface of an object are circulated within the liquid tube, and large substances such as rice are filtered by a screen or filter before entering the liquid tube.

[0314] This method involves coating a sticky substance such as a protein on a part of the surface of an object like a sphere, immersing the protein in a container, and then allowing the protein to adhere to the surface of the sphere. Next, the sphere is rolled, touched, gently tapped, or dragged on the surface by a robotic arm (or by the user), thereby agitating the substance and causing the protein to attract the substance to the surface of the sphere until the sphere adheres to the robotic arm and is submerged into a liquid tubing reservoir. Since the sticky substance may be water-soluble, it may be necessary to wash the surface with water after capturing the substance.

[0315] A method for manually obtaining substances for manual home applications is to use the rolling ball method. This device uses a sphere that can be coated with a sticky substance such as a protein. The ball can be rolled on the surface to collect the substance by hand. Marking spray paint rolling applicator. The ball has many surface layers, and there may be another larger ball inside one ball, or multiple balls may be contained within one ball.

[0316] If a hazardous substance is detected and the UMMDA warning light is flashing, the area may be isolated. In the UMMDA mobile vehicle, a robotic arm may be required to close the liquid tubing or transfer hazardous materials. The gate may be equipped with UMMDA, and an internal gate of the liquid tubing is required to seal the detected biological bacteria or pathogens. The gate is a UMMDA option with specific algorithms utilized by law enforcement agencies and military applications.

[0317] In the high-end device version, the expensive version of the device is equipped with an adjustable nanofilter screen for capturing a single form of very small substances such as viruses. The nano-adjustable filter screen, "NAF screen", is embedded in a liquid tube and is manually or automatically operated by the device. The NAF screen is assisted by a nanomechanical arm that places small substances such as viruses under the lens for observation or on the cantilever beam to measure the weight of the substance.

[0318] By adjusting the distance of the space within the screen, only virus-sized microorganisms and those smaller can pass through. The bars of the screen can be adjusted to detect small substances as small as about 0.22 nanometers, although the size of viruses ranges from about 20 nanometers to 400 nanometers. Bacteria are about 1 to 2 microns in diameter and about 5 to 10 microns in length, and may be captured by the device in a screen slightly larger than the size of bacteria.

[0319] As an option for the user, there is an attachment of a laser connected to another computer processing device programmed with a detection algorithm by an image feed without using an image magnifying device. The laser can be attached directly above the reservoir or directly above the liquid tube. There are solid lasers, gas lasers, liquid lasers, chemical lasers, metal vapor lasers, etc. for the laser, and there are various colors such as green lasers (brighter than red lasers) and red lasers. In this application, the laser is used to detect viruses and bacteria. The laser is attached to the UMMDA and detects the molecular structure of microorganisms in the liquid tube and the reservoir. In this specific user option (usually for research facilities and for function improvement), the level of the liquid in the reservoir becomes very low. Using Raman spectroscopy, the laser measures the photons of the substances in the storage. The mechanism of irradiating laser light to detect the type and composition of substances is poured into the reservoir or the liquid tube. As other options for using the laser, there are using a microscope slide embedded in the tube, using a topper slide, removing the slide from the liquid tube and irradiating the laser directly into the tube to detect the molecular structure of the substances in the tube. The laser can also be installed on a very thin microscope glass slide to perform the same type of detection as the UMMDA liquid tube option using the slide embedded in the liquid tube.

[0320] A specific laser algorithm detects and identifies bacteria and viruses and reports in real time.

[0321] The laser serves two purposes: algorithm training and substance detection. The next section will explain the power supply of the device.

[0322] The power supply of the device is provided by the single power supply or combination of power supplies shown below. The power supply of the device can be a hydrogen fuel cell, nuclear power (nuclear fission or fusion, atomic fusion or nuclear fusion, nuclear fusion energy), a combustible engine (using natural gas, gasoline, diesel fuel, petroleum-based fuel), solar power generation generated from solar panels, wind power generation generated from wind turbines, hydroelectric power generation generated from water wheels, battery power, magnetism, heat or electricity (or electricity generated from the above power supplies), or a direct wireless charging system "DWCS", or a combination thereof. The applicant has described in a previous application to the USPTO the mechanism and method of use of the DWCS. The DWCS charging pad is used to charge drones at the top of a reservoir, robots on the side of a reservoir, or watercraft on the water's edge.

[0323] Power is transferred to and generated in the device via a direct wireless charging system (hereinafter "DWCS"). For the purposes of this patent application, the direct wireless charging system "DWCS" is defined as a pad, rail, truss, and wire "dwcs" charging device that can maintain a storage device for holding a charge while the UMMDA mobile vehicle is in motion or stationary and can provide an instantaneous charge to the UMMDA mobile vehicle. This method charges the device without the components physically contacting or being physically wired to a chargeable charging device. While the UMMDA mobile vehicle is near the DWC charging device, the charge can be transferred wirelessly to the UMMDA mobile vehicle. The device or its components can be charged by replacing the charged device charged by the DWC.

[0324] This system is a system that can place a DWC charging device on the ground, attach it to the ceiling or wall, install it above water or by the water (the device is waterproof), charge drones, robots, and ships, and transfer power to other components of the device. The DWC charging device is plugged into a power outlet, and the pad transfers the charge to the UMMDA mobile vehicle. The DWCS charging device can also be charged by any power source listed above, such as a combustion engine.

[0325] On the physical side of the device, there are four main components: a steel frame, a power generation, a water storage tank and auxiliary water storage tank components, and wired and wireless components (male and female connections). Mobile vehicles are not included in this section and are not required for manual household applications.

[0326] The steel frame or the frame within the steel frame is constructed to hold the components of the device. Listed below in no particular order of importance are: laptop, image enlarging device, electronic circuit board, and panel (for automatic and manual shutdown in case of failure, hacking, or interference) power cord, wireless, wired components, tubes, CPU (GPU), laptop, mobile phone, tablet, server, satellite equipment, CB radio (citizen band radio) and its connections, wireless communication equipment, wired male and female connections, cords, lights (for illuminating the device, for communication by light, for the surrounding area of the device, for tablet, server, power connection (or only one main connection for shutdown of the entire device and components) power generation device, frame for stability, and antenna.

[0327] To facilitate the setup and disassembly of the device, there is a high-end version of the device and a low-end version that can be manually operated. Each version has a different setup and breakdown, and the low-end version of the device has far fewer components than the high-end version. For the purposes of this patent application, high-end is defined as the version of the device equipped with most of the components described in this patent application, which includes all types of computer software programs and algorithms described in this patent application. The low-end version has components restricted as described in this patent application, and there are few or no computer software programs or algorithms. The lowest-cost version of the device is equipped with real-time detection and identification algorithms, a laptop, and a tube (two embedded slides, one pump). In the next version, more components will be included. The next version with a built-in display algorithm will become available. More high-end options will become available, and in the more high-end device versions, it will be possible to select from the list of components described in this patent application.

[0328] The low-cost device can be transported in one Pelican case, while the high-cost device can be transported in multiple Pelican cases. For large-scale municipal device detection, identification, and display operations, the device is constructed on-site, and some components are shipped in Pelican cases.

[0329] Setup of the device. The setup of the device depends on the version of the device. The time required depends on many factors, but the main factor is the scale of the operation. When setting up a manual device for a user to operate at home, the device can be taken out of the Pelican case, placed on a table, and plugged into the power supply. The manual operation of the device can be carried out according to the instructions. Pour water into the circulation tank and then plug it in for use.

[0330] The user can decide to discard the tube and retain all other components, and purchase a new tube for other operations. If it is not necessary to disassemble the device, the components of the device can be rented, leased, licensed, or purchased.

[0331] The platform of the device truss, metal frame, wired, wireless, the place for the laptop on the metal platform of the device wire, USB, Cat 5, electricity, electrical extension cord.

[0332] For transporting, installing, or disassembling long tubes or long sections of tubes, the tubes may be designed to be folded, coiled, or wound up and stored in a box.

[0333] The first step of the setup is the setup of the tube components. The first option is whether the user desires the manual version or the automatic version. The components can be either wired or wirelessly connected to the device. There is also an option to operate the device manually, and when the tube is long or the section is long, it can also be designed to be folded, coiled, or wound up and stored in a box. Using a liquid pump, the liquid can be removed from the tube before transporting the tube.

[0334] In environmental applications, since the device is located several miles away from the installation or operation location of the device and has little direct impact on the device, the device learns what actions to perform through an algorithm combined with a software program. It is executed and not executed in a specific environment. In this patent application, environmental disruption is defined as the physical movement of substances that affect the environment in a way that is toxic and unhealthy for all organisms, including plants, animals, and humans.

[0335] Figure 1 is a schematic diagram of a sample reservoir connected to a transparent liquid tube "liquid tube" according to an embodiment of the present disclosure. Figure 1 shows a sample reservoir with an opening and an inlet. The UMMDA mobile vehicle or user can place substances, liquids, or microorganisms through the opening. Figure 1 also shows the inlet-side port of the sample reservoir, with the open end 101 placed within the water area. The pump 102 draws water into the sample reservoir. 103 is the inlet tube to the sample reservoir. 104 is a manual shut-off valve for holding the liquid and substances within the reservoir of the inlet tube. 105 is the connection to the control unit for opening and closing the valve. 106 is the valve unit. 107 is the overflow petcock. 108 is a six-tooth blender device. 109 is the power supply to the lower pump vortex generator. 110 is the lower vortex pump device. 111 is the intake and jet flow tube. 112 is the upper tube to the vortex pump. 113 is the upper vortex pump device. 114 is the power supply to the upper vortex pump device. 115 is the connection to the control unit for opening and closing the valve of the outlet tube. 116 is the valve unit for the sample reservoir outlet tube. 117 is the manual valve shut-off for the sample reservoir outlet tube. 118 is the sample reservoir outlet tube. 119 is the outlet point of the open end placed within the water area or directed towards other locations.

[0336] Figure 2 is a schematic diagram of a transparent liquid tube according to an embodiment of the present invention. Figure 2 shows a CPU 205, a power switch 208, a liquid tube light, an adjustable microscope slide, a microscope, and a mobile component for an apparatus (which may be a server, laptop, tablet, or mobile phone) that includes both a liquid tube and a CPU, and a power station and connection 209 for wired and wireless data transmission, a power source, a cased wire and cord 203 for a wired data connection, a wired-connected laptop or CPU, a bottom wall 105 of the transparent liquid tube, an outlet 207, an inlet 201, and a cased wire and cord 212 for the power source and wires connecting upper and lower cased wired connections. The wires are outside the liquid tube. The power source, wired, wireless data connection, wires and cords 204 for auxiliary connections are housed. A component and auxiliary connection box 210 for mobile and wireless components. An electrical power cord 211. The power cord 211 is electrical and can convert and plug in any type of power, and the upper wall 202 is made of a transparent liquid tube.

[0337] Figures 3A to 3F are schematic views of the detection part of the transparent liquid tube. Figure 3A shows a front view 301 of a microscope slide, a front view 302 of a microscope slide with an H groove for holding the slide embedded in the liquid tube, a side view 303 of the microscope slide with the H groove, a side view 304 of the H groove, and a three-dimensional view 305 of the embedded microscope slide. Figure 3B shows a top view 307 of the transparent liquid tube "TLT", an upper microscope slide 308 embedded in the transparent liquid tube "TLT", an H groove 309 on the side of the upper microscope slide, a side view 310 of the right side of the opened TLT, an H groove 311 on the side of the lower microscope slide, a lower microscope slide 312 embedded in the side of the TLT, the bottom wall 313 of the transparent liquid tube "TLT", and a side view 314 of the left side of the opened tube. Figure 3C shows a perspective view 316 of a left side view of the transparent liquid tube of the upper microscope slide. Figure 317 is the right end of the microscope slide with the H groove. Figure 321 is the left wall of the liquid tube. Figure 318 is the right wall of the liquid tube. Figure 321 is the left wall of the liquid tube. Figure 322 is the left end of the microscope slide with the H groove. Figure 320 is a top view of the upper slide. Figure 319 is the flow of substances and liquids on the surface of the microscope slide. Figure 3D shows a right support 327 inside the lower microscope slide and a left support 328 inside the lower microscope slide. Figure 329 is the upper wall of the liquid tube with an upper microscope slide embedded in the wall of the liquid tube. Both the left and right sides of the liquid tube are open, allowing the input and output of liquids and substances. Figures 3E and 3F show a top view (Figure 332) of the upper microscope slide with an H groove (Figure 331) and a top view of the upper slide (Figure 333) of the TLT. Figure 3F shows four microscope slides inside the liquid tube.

[0338] The present invention provides an apparatus and method for detecting one or more substances and a plurality of microorganisms. The apparatus includes a plurality of liquid tubes, a plurality of microscope slides, an oil immersion section, a plurality of image magnifying devices, a plurality of remotely controlled unmanned land, air, and underwater self-propelled devices, a plurality of software program computing systems, a plurality of liquid pumps and air pumps, a plurality of lasers and sensors, and one or more processors. The microscope slides are embedded in the liquid tubes. The oil immersion section is disposed on top of the liquid tubes attached to a plurality of reservoirs. The image magnifying devices are disposed on or near the liquid tubes, and the devices are manually, automatically, mechanically, or electronically operated to grow substances and microorganisms. The remotely operated unmanned land, air, and underwater self-propelled devices collect substances and microorganisms. The software program computing system utilizes software algorithms and software programs described in a plurality of software languages to automatically operate the apparatus and the remotely controlled unmanned land, air, and water self-propelled devices. The software program computing system instructs the removal of substances and microorganisms. The liquid pumps and air pumps are controlled by the software program computing system. The lasers and sensors are controlled by the software program computing system. The processor executes a plurality of machine learning and artificial intelligence software program algorithms to detect, display, and remove substances and microorganisms.

[0339] In one embodiment, the apparatus includes a plurality of detection devices and a plurality of computer software programs for detecting substances in real time. In one embodiment, the substances include biological bacteria, viruses, bacteria, fungi, protozoa, molds, allergens, pathogenic microorganisms (pathogens), non-pathogenic microorganisms (non-pathogenic), microorganisms, clusters of microorganisms, clusters of substances, hydrocarbons, metals, oils, human and animal body fluids, plant substances, fertilizers, chemicals, pollutants, and algae in liquid / wet and / or dry / semi-dry liquid tubes.

[0340] In one embodiment, the device includes a plurality of external lights and internal lights. In one embodiment, the microscope slide is adjustable manually or by a computer software program. In one embodiment, the device includes a plurality of direct wireless charging systems for powering the components of the device. In one embodiment, the device includes a plurality of direct wireless charging systems for transferring charge to a plurality of other devices within the device. In one embodiment, the device includes a plurality of power devices including batteries, nuclear power, natural gas, gasoline and diesel combustion engines, hydroelectric power, solar panels, wind turbines, and magnetic energy.

[0341] In one embodiment, the remotely controlled unmanned land, air, and underwater self-propelled devices include a plurality of robotic arms for collecting, depositing, moving, retrieving, and transporting substances and microorganisms. In one embodiment, the robotic arms are static, movable, adjustable, and mobile and include pinchers. In one embodiment, the image magnification device is the plurality of single components and optical components of a plurality of microscopes. In one embodiment, the plurality of microscope slides are arranged on opposite sides of each other, and both liquid and substances pass through the space between the microscope slides, and the microscope slides embedded in the liquid tube maintain a surface for receiving and holding the liquid and substances. In one embodiment, the microscope magnifies a sample surface on the microscope slide or a liquid sample between the microscope slides. In one embodiment, the reservoir is connected to a liquid tube for holding liquid and substance samples. In one embodiment, the device includes a plurality of inlets for introducing liquid and substances into the reservoir and the liquid tube.

[0342] In one embodiment, the device includes a plurality of outlets for discharging liquid and substances from the storage unit and the liquid tube. In one embodiment, the device includes a plurality of light sources for emitting light into the liquid tube and the reservoir. In one embodiment, the device includes a plurality of photodetectors for detecting light transmitted through the liquid tube. In one embodiment, the device includes a plurality of control units for controlling the operation of the liquid tube.

[0343] In one embodiment, the control unit includes a processor that analyzes the light detected by the photodetector and determines the presence of substances in the liquid tube based on the amount of detected light using a plurality of artificial intelligence learning platforms, computer software algorithms, and computer language software programs.

[0344] In one embodiment, the plurality of liquid pumps and air pumps include a plurality of processors for monitoring, starting, and stopping the flow of liquid in the liquid tube using an artificial intelligence learning platform, an algorithm, and a computer language software program.

[0345] In one embodiment, the sample surface of each microscope slide is composed of a material selected from the group consisting of glass, plastic, silicon, metal, and combinations thereof. In one embodiment, the plurality of microscopes are configured to provide images of liquid samples and substance samples on the surface of the microscope slide. In one embodiment, the plurality of microscopes are configured to detect fluorescence emitted from the liquid and substances on the sample surface of the microscope slide. In one embodiment, the plurality of microscopes are configured to detect fluorescence emitted from the liquid sample and substance sample on the sample surface of the microscope slide.

[0346] In one embodiment, the plurality of microscopes are fluorescence microscopes. In one embodiment, the plurality of microscopes are optical microscopes. In one embodiment, the plurality of microscopes are super-resolution microscopes. In one embodiment, the plurality of microscopes are configured to control the intensity and duration of the light source used to illuminate the liquid sample on the sample surface of the microscope slide.

[0347] In one embodiment, the plurality of microscopes are configured to capture images of substances on the sample surface of a microscope slide. In one embodiment, the plurality of microscopes are configured to store the images captured from the surface of the microscope slide in a memory device. In one embodiment, the apparatus includes a substance sample collection container for collecting a liquid sample together with the substance sample.

[0348] In one embodiment, the apparatus includes a display device for displaying the results of the detection of substances and microorganisms. In one embodiment, the apparatus includes a communication unit for transmitting the results of the detection of substances and microorganisms to a remote device. In one embodiment, the battery supplies power to the apparatus and a plurality of components of the apparatus. In one embodiment, the computer software program automatically reroutes the substance to a reservoir connected to a liquid tube to decompose the substance. In one embodiment, artificial intelligence and machine learning algorithms cooperate with the computing software program to determine and learn from a plurality of operations of the apparatus. In one embodiment, the liquid tube is connected to a conveyor belt partially immersed in water.

[0349] Although embodiments of the present disclosure have been illustrated and described, it is obvious that the present disclosure is not limited only to these embodiments. As described in the claims, numerous modifications, changes, variations, alternatives, and equivalents will be apparent to those skilled in the art without departing from the scope of the present disclosure.

[0350] One aspect of the present disclosure is to provide a liquid tube that may be transparent in some versions of the device so that the user can view the operation of the device. The device can be programmed in three ways to lower or increase the detection accuracy. The accuracy can be programmed in the range of 55% to 89%. Higher accuracy (above 75%) is achieved by software programming. The next option is to reduce the speed of the intermittent pump. In the upper versions, the device can hold a number of image magnifying devices and the liquid tube can be lengthened to accommodate the device. This also improves the real-time detection of pathogens and contaminants. In this high-end version, since the motility and mobility of microorganisms can be detected, more data can be used to detect movement. The transparent liquid tube may include a sample reservoir with an inlet port and an outlet port for holding a liquid sample in pure water rather than the water from a household sink. There may be impurities remaining in the sink water that appear during the detection process. The main liquid tube is transparent and has a detection unit embedded therein for detecting the presence of pathogens or contaminants in the liquid sample, and has a transparent sample inlet and a transparent sample outlet. The sample inlet is connected to the outlet port of the sample reservoir. The auxiliary transparent liquid tube is connected to the sample outlet of the main transparent liquid tube and has a detection unit embedded therein for further analyzing the liquid sample supplied from the main transparent liquid tube. A control unit is provided that electronically communicates with the reservoir, the main transparent liquid tube, and the auxiliary transparent liquid tube using an artificial intelligence and machine learning platform.

[0351] In some embodiments, the auxiliary transparent liquid tube can be actuated when a pathogenic microorganism is first detected through the main transparent liquid tube.

[0352] In some embodiments, the transparent tube can indicate the operating speed, clogging, and the degree of fouling of the water in the tube when water is used.

[0353] In some embodiments, the liquid tube of the device can use liquids other than water.

[0354] In some embodiments, an alcohol-based liquid is used to kill microorganisms and detect only contaminants.

[0355] In some embodiments, the transparent liquid channel may further include a display unit for displaying pathogen detection results.

[0356] Referring to FIG. 1, FIG. 1 schematically shows a sample reservoir connecting a liquid tube according to an embodiment of the present disclosure to FIG. 2. The sample reservoir of FIG. 1 is connected to a transparent liquid tube having a detection unit. The sample reservoir consists of an inlet port, an outlet port, and a pump that draws the sample from the container. The sample reservoir of FIG. 1 is connected to a transparent liquid tube (FIG. 2) and includes an internal blender 108 located at the bottom of the reservoir and having teeth that break up solids or clumps of microorganisms to generate a swirling effect, thereby enabling the liquid sample in the reservoir to be efficiently processed and mixed to fit between the microscope slides.

[0357] The sample reservoir can be defined as a waterproof container designed to hold various substances, including liquids and solids. Additionally, by incorporating an exchangeable filter between the reservoir and the transparent liquid tube, the filtration process can be made more efficient. The reservoir has open, closed, or always-open configuration options and is adaptable to meet the diverse requirements of various applications and uses.

[0358] In some embodiments, for example, when liquid exits a liquid tube in an open application such as a pond, the fluid may be further propelled or flowed into an additional tube or reservoir called a "biosurfactant treatment reservoir" or a "biosurfactant treatment tube". This special container plays a role in introducing biosurfactant into the detected liquid. The biosurfactant treatment reservoir functions as an important learning environment for the algorithm, incorporating valuable knowledge about biosurfactants into the algorithm, and improving the overall performance and adaptability of the system in the detection and treatment of various forms of substances.

[0359] The "biosurfactant treatment reservoir" or "biosurfactant treatment tube" promotes the interaction between contaminants and biosurfactants or other liquid applications when passing through the tube or reservoir. Another image magnification device such as a microscope is strategically placed above or below these special reservoirs or tubes, enabling the contaminant removal identification algorithm to effectively evaluate the effect of the mixture of biosurfactant and other environmental liquid applications in neutralizing contaminants. This evaluation is performed by comparing the magnified images of pathogens or contaminants before and after the application of biosurfactant.

[0360] In some embodiments, the transparent liquid tube may be connected to a plurality of reservoirs as needed. Since the plurality of reservoirs can be designed according to specific purposes, they can hold various liquids such as biosurfactants and various combinations, ratios, and other environment-related liquid applications of biosurfactants. These special reservoirs also have the ability to accommodate different dilution degrees and can control the temperature of the liquid, thus realizing a highly adaptable system that can meet diverse requirements and applications. By providing such versatility, these reservoirs play an important role in optimizing the overall functionality and efficiency of the present disclosure.

[0361] The arrays of reservoirs containing biosurfactant glycolipids include various categories such as microbial biosurfactants, polymeric microbial surfactants, and enzyme-synthesized surfactants. These reservoirs contain a wide range of glycolipids such as surfactin, iturin, fengycin, lichenysin, serrawettin, phospholipids, rhamnolipids, sophorolipids, trehalolipids, mannosylerythritol lipids, extracellular olipids, lipoproteins, rubiwettin, trehalose, ornithine, pentasaccharide lipids, viscosin, bacitracin, lipopeptides, or combinations thereof.

[0362] Referring to FIGS. 2-4, the transparent liquid tube (FIG. 2) includes at least one tube having an upper wall 202 and a lower wall 105 (see also FIG. 3B), a sample inlet 201 and a sample outlet 207, and a detection unit (see also FIG. 3B) embedded within the tube. The transparent liquid tube can be attached to the control unit 205 or communicate electronically or wirelessly with the control unit 205.

[0363] Each tube is equipped with shut-off valves that can be manually rotated at both ends of the tube (for all versions of the device).

[0364] In some embodiments, the tube may comprise an adjustable nanofilter screen for capturing a single form of very small substances such as viruses. The nano-adjustable filter screen ("NAF screen") is embedded in the liquid tube and is manually or automatically operated by the device. The NAF screen is assisted by a nanomechanical arm that places small substances such as viruses under the lens for observation or on the cantilever beam to measure the weight of the substance.

[0365] By adjusting the distance of the space within the screen, only microorganisms the same size as the virus and microorganisms smaller than the space can pass through. The size of the bar on the screen is adjustable, and while the size of the virus ranges from about 20 nanometers to 400 nanometers, it can also detect a small substance of 0.22 nanometers. Bacteria have a diameter of about 1 - 2 microns and a length of about 5 - 10 microns, and may be captured by a screen slightly larger in size than the bacteria by the device.

[0366] In some embodiments, the sample reservoir of FIG. 1 is used to hold a liquid sample. The inlet port 101 is used to introduce the liquid sample into the sample reservoir, and the outlet port 103 is used to draw the liquid sample from the sample reservoir (FIG. 1) into a transparent liquid tube (FIG. 2). A large liquid sample is broken down by the blender 108 so that the solid material or cluster of materials becomes small enough to pass through the liquid tube. The sample reservoir of FIG. 1 may be provided with a lower pump 110 and an upper pump 113 for circulating the liquid sample from the bottom to the top. The pump 110 is controlled by the control unit 205 and can operate automatically intermittently according to the time interval and the duration of the overall operation, or shut down to generate a reverse pump operation to wash away the large materials captured in the transparent liquid tube.

[0367] The liquid sample injected into the transparent liquid tube passes through the detection unit (see the upper slide in Figure 4A and the lower slide in Figure 4B). The detection unit includes a light source, at least two microslides (Figure 406 and Figure 420), an image magnifying device (not shown) disposed on the upper liquid tube wall (Figure 401), and a photodetector (not shown). Figure 406 is the upper slide attached to the upper wall of the liquid tube. Figure 420 is the lower adjustment slide of the liquid tube. The microslides Figure 406 and Figure 420 are disposed within the liquid tube, spaced apart from each other on opposite sides, and have a sample surface for receiving and holding the liquid sample. Figure 402 is the slat cross-sectional component attached to the end of slide Figure 406 to facilitate the flow of liquid. Figure 403 is the shaft that passes through the wall of the liquid tube to hold the pins Figure 404 and Figure 406 in place. Figure 405 is the H-groove of the slide. Figure 407 is the shaft on the right side that holds the slide. Figure 408 is the pin on the right side. Figure 409 is the slat cross-sectional piece on the right side. Figure 4B is the lower adjustable slide within the liquid tube. Figure 415 is the horizontal brace for the slide. Figure 419 is the central horizontal brace, and Figure 416 is the "L"-shaped brace. Figure 411 is the lower wall of the liquid tube. Figure 414 is the housing of the adjustable piston for the lower microscope slide. Figure 412 is the opening of the housing through which the wall of the liquid tube passes. Figure 413 is the power cord to the piston device. Figure 417 is the base of Figure 418 for holding the right side of the housing without the piston device. Figure 4C shows the direction of the liquid and the substance between the upper slide Figure A and the lower slide Figure B.

[0368] In some embodiments, the liquid entering the tube from the reservoir (or the tube itself) may need to be heated or cooled by a cooling or heating element. The cooling or heating may occur inside the tube, outside the tube, or when the liquid enters the tube. This can be achieved by using basic water heating elements such as the following. A household water heater can use electricity, gas, or solar energy to change the temperature of the liquid in the liquid pipe.

[0369] Figure 3A shows a dual micro-slide system where two micro-slides (Figs. 301, 303) are spatially separated, with grooves (Figs. 302, 304, 305) arranged on each side, and the overall configuration forms an H shape. These grooves are specially designed to hold firmly when the slides are embedded in a liquid tube (see Fig. 3B), ensuring stability and accurate positioning during the analysis process. With the illustrated arrangement, multiple specimens can be examined simultaneously, facilitating efficient data collection and cross-referencing of results. This micro-slide configuration not only streamlines the sample analysis workflow but also minimizes the risk of cross-contamination and improves overall accuracy.

[0370] The distance between the micro-slides within the tube can be set in the range from just a few nanometers to several inches, providing excellent flexibility to accommodate various applications. For example, when the distance between the micro-slides is several inches, the tube is adjusted to address contamination-related issues, while when the distance between the micro-slides is small, it is optimal for targeting viruses. This option allows the distance between the two micro-slides to be adjusted manually or automatically, further enhancing the system's adaptability to different scenarios and strengthening its ability to efficiently tackle various environmental problems with unparalleled accuracy and effectiveness.

[0371] When observing a liquid sample through the tube, a light source placed inside the tube is used instead of a conventional bottom illumination light, and an image magnifying device such as a microscope lens is used regardless of the presence or absence of a condenser. This approach, known as "running tube illumination or light source," illuminates the substance directly below the lens for optimal detection. The light source can be driven by various types of lamps such as DC, electrical, or fluorescent, incandescent, LED, neon, halogen, metal halide, high-intensity discharge, low-pressure or high-pressure sodium lamps. The internally placed light can be made waterproof or water-resistant to ensure durability.

[0372] Furthermore, the light source can be attached outside the transparent liquid tube and can provide illumination or function as a heat source. In a more advanced and expensive option, the light source may be embedded along one or both sides of the micro-slide or inside the tube. An external light source can also be added to the transparent liquid tube. For such embedded or externally installed light sources, higher intensity may be required to detect minute substances such as parvovirus (20 nm), certain gas molecules, metallurgical substances, etc., and a dual-layer illumination solution may be needed. Some light sources are also used for the purpose of heating the tube from the inside or outside or warming other components of the device, enhancing functionality and adaptability in various applications.

[0373] In another embodiment, as an option for the user, instead of using an image magnifying device, a laser attached to another computer processor programmed with a detection algorithm by an image feed can be connected. The laser can be mounted directly above the reservoir or directly above the transparent liquid tube. There are solid lasers, gas lasers, liquid lasers, chemical lasers, metal vapor lasers, etc. for the laser, and there are various colors such as green lasers (brighter than red lasers) and red lasers. In this embodiment, the laser is used to detect viruses and bacteria, and the laser is attached to the device to detect the molecular structure of microorganisms in the liquid tube and in the reservoir. In this particular user option (usually for research facilities and for improving functionality), the level of the liquid in the reservoir becomes very low. Raman spectroscopy is used to have the laser measure the photons of the substances in the reservoir. The way the laser detects the type and composition of the substance is by irradiating the reservoir or the liquid tube with laser light. Other options for using the laser include using a microslide embedded in the tube, using a topper slide, removing the slide from the liquid tube and irradiating the laser directly into the tube to detect the molecular structure of the substance in the tube. To perform the same type of detection as the transparent liquid tube option with a microslide embedded in the liquid tube, the laser can also be placed on top of a thin microscope glass slide. A specific laser algorithm detects, identifies, and reports bacteria and viruses in real time. The laser serves two purposes: assisting in the training of the algorithm and detecting substances.

[0374] In one embodiment shown in FIG. 3B, an upper microslide (308) and a lower microslide (312) are incorporated into a transparent liquid tube, and they are seamlessly embedded within the liquid tube. This enables precise control of the fluid flow throughout the upper and lower microslides (308, 312), allowing for real-time observation and analysis of dynamic processes in the aquatic environment. The upper and / or lower microslides may be attached to the wall of the transparent liquid tube or may be spaced apart from the wall. In some embodiments, the upper microslide (308) is attached to the upper wall (307) of the transparent liquid tube, and the lower microslide (312) is spaced apart from the bottom wall (313) of the transparent liquid tube and can be supported by a right support (327) and a left support (328) as shown in FIG. 3D. Strategically positioning the upper and lower microslides within a transparent or opaque "liquid tube" evenly disperses the liquid sample and achieves consistent and highly reliable detection conditions.

[0375] FIGS. 3E and 3F show a transparent liquid tube with one or more sets of microslides embedded therein. This allows the liquid sample to be observed seamlessly and without interference under various fluid flow conditions. The embedded microslides in FIG. 3F are firmly positioned within the tube, providing a stable platform for sample analysis. Also, the transparency of the tube ensures maximum visibility and minimizes optical distortion. This setup is adaptable to accommodate a series of microslides simultaneously, streamlining the detection process and enabling efficient data collection from various samples. Overall, this versatile liquid tube system improves the accuracy and precision of the hydrodynamic detection function.

[0376] The sample surfaces of each of the microslides (308 and 312) can be composed of materials selected from the group consisting of glass, plastic, silicon, and combinations thereof. The material selected for the sample surface must be transparent and inert and must not interfere with the detection of pathogens in the liquid sample. The microslides can be of any suitable size and shape. For example, as shown in FIG. 3A, each microslide includes an H-shaped groove (302) along its side, which is easy to handle and can be fixed for attachment to a holder or other device. The microslides can be held in any suitable manner, such as in holders or cartridges (327 and 328).

[0377] As used herein, the term "microslide" can be used interchangeably with the term "microscope slide" and may have different characteristics, for example, when at least one tube with a set of at least 5,000 microslides or a combination of more than 150,000 microslides is required for applications ranging from small households to large airports.

[0378] In some embodiments, the tube can be equipped with three adjustable microslide options for the advanced identification and detection of some forms of large amounts of water, surface substances, and substances in the air input for the device to operate at a higher level.

[0379] The microslide embedded in the transparent liquid tube is placed directly below an image magnification device (not shown). The image magnification device is configured to magnify the liquid sample on the sample surface of the microslide.

[0380] The image magnification devices utilized by the device can be of a wide variety. For the purpose of understanding the image magnification device, when the phrase "image magnification device" is used, it can be any of the image magnification devices described herein.

[0381] The image magnifying device can be any suitable type of microscope, and can include, but is not limited to, basic optical lenses, magnifying lenses, lenses attached to microscopes with bases, folding mirror lenses, optical microscopes, electron microscopes, super-resolution microscopes, fluorescence microscopes, X-ray devices, magnetic resonance imaging devices, nuclear magnetic resonance devices, and telescopic lenses.

[0382] In some embodiments, the image magnifying device is connected to a computer software device, and images and data are transferred wirelessly or by wire.

[0383] In some embodiments, the image magnifying device is placed directly above the slide for detection, and the device is connected to computer software and an algorithm program to detect the object in real time.

[0384] The image magnifying device as defined herein is a mechanical or electronic magnifying measuring device with a magnifying function. The optical lens enlarges the apparent size (physical size) of the substance.

[0385] Inside the tube, multiple image magnifying devices are not necessary (either manual focusing or focusing by the algorithm of the device is possible). An image magnifying device that can detect the mobility, motility, color, size, and shape of an object and accurately identify the object can also be used in this device.

[0386] Some image magnifying devices do not use a microscope condenser. Instead of a condenser, a light source is embedded in the tube section below the image magnifying device (and the nearby tube section for illuminating the surrounding light), illuminating the area between the microslides. Some optical lenses are equipped with their own computer software and algorithm programs that manage all the optical lenses of the entire tube both internally and externally. When only a light source is used instead of a condenser, the computer software and algorithm programs manage the brightness of the light necessary for accurate observation and detect substances. The image magnifying device can be installed anywhere outside the tube. The image magnifying device can be close to or far from the tube. Specific optical magnifying lenses can also be placed inside the tube. There is no limitation on the number of image magnifying devices, the types of optical magnifying lenses, or their combinations available for use in the present invention. The algorithm learns from the data obtained from the image magnifying device and the optical magnifying lens and transfers that data to other algorithms within the device. The focus of the image magnifying device can be manually operated by one person or operated by multiple groups where each person in the group manually focuses on one image magnifying device. The focus of the image magnifying device can also be operated by an optical magnifying lens focus algorithm or a third-party software program and can be automated. The tube component can communicate with the computer software and algorithm programs that manage the entire tube device.

[0387] Depending on the length of the tube, there may be various types of image magnifying devices as described herein. The image magnifying device may be placed outside the tube or inside the tube. The image magnifying device (which may include an optical magnifying lens and may also include a folding optical system and a folding mirror lens) can be placed on the top of the tube, below the tube, on the side of the liquid tube, or on the truss supporting the liquid tube.

[0388] In one embodiment, the microscope is a fluorescence microscope and is configured to detect fluorescence emitted from a liquid sample on the sample surface of a microscope slide. The microscope can be any suitable fluorescence microscope, such as an epi-fluorescence microscope or a confocal microscope. In yet another embodiment, the microscope is further configured to generate a signal indicative of fluorescence emitted from a liquid sample on the sample surface of a microscope slide.

[0389] In another embodiment, the microscope is further configured to use artificial intelligence and machine learning algorithms to control the intensity and duration of a light source used to illuminate a liquid sample on the sample surface of a microscope slide. This can be achieved using suitable mechanisms such as a mechanical shutter or an electronic controller.

[0390] In a further embodiment, the microscope is further configured to capture an image of a liquid sample on the sample surface of a microscope slide. The captured image may be useful in diagnosing the presence of pathogens or contaminants in the liquid sample. The captured image can be stored in a suitable memory device such as a hard drive or a flash drive. The captured image may be transmitted or displayed to the user through a verbal or non-verbal display unit.

[0391] Referring to FIGS. 4A through 4C, FIG. 4A shows a setup in which a liquid sample flows from left to right and moves between two strategically placed microscope slides (406, 420). It is designed to detect and identify various substances and microorganisms present in the sample in real time. In these figures, an image magnifying device is placed directly above the upper microscope slide (406) to capture and magnify an image of a microorganism passing through a liquid medium, facilitating detailed analysis and observation.

[0392] In Figures 4B and 4C, it is shown that the upper microslide is firmly attached to the upper wall of the liquid tube (401), ensuring stability and consistent alignment in the flow of the liquid sample. On the other hand, the bottom microslide (420) is intentionally spaced apart from the bottom wall of the liquid tube (411). This configuration maximizes the effective observation area and evenly disperses microorganisms throughout the sample, resulting in more accurate and representative data collection.

[0393] Figure 4C details the support mechanism of the bottom microslide (420) held in place by a vertical static support bar (415) and a horizontal support bar (419). These supports ensure the stability and accurate positioning of the bottom microslide (420) within the liquid tube, enabling optimal detection and analysis of microorganisms passing between the two microslides (406, 420). This combination of components, designed with such meticulous attention, contributes to a very effective and efficient setup for deepening our understanding of the diverse world of microorganisms.

[0394] Figure 4D shows the internal piston of Figure 414. Figure 4D depicts an internal piston (441) with scale lines (443, 444) incorporated and three strategically placed holes (445, 447) for pegs (446). The scale lines provide accurate and precise measurements of the space, facilitating fine-tuning of the piston's movement and optimal control of the flow space for the liquid sample between the slides within the transparent liquid tube. Incorporating the peg holes allows the piston to be easily and securely attached to various components of the device, enhancing stability and adaptability. This multi-functional piston design plays an important role in maintaining consistent hydrodynamics and ensuring the reliability and accuracy of microorganisms within the liquid sample. Integrating these functions into the piston significantly improves the overall efficiency and functionality of the device.

[0395] The microslides used herein are adjustable, whereby the space between the microslides within the liquid tube can be manually increased or decreased by the user or electronically by the device. There are two ways to operate the adjustable microslides. One is that since the upper slide within the liquid tube is embedded in the liquid tube, only one microslide, which is the lower slide, is adjustable. The second way is a three-microslide system in which the upper slide is fixed and the two lower slides are adjustable. Another completely different way is to embed the upper embedded microslide in the liquid tube (non-movable), make the lower microslide adjustable, and place the upper slide outside the upper slide of the liquid tube (non-movable).

[0396] According to some embodiments utilizing the three stacked microslide method, the topmost microslide is on top of the second microslide, and the topmost slide is close to the second microslide. In the device, another third microslide is used in which the difference in distance between the second (central) microslide and the third lower slide is doubled.

[0397] According to some embodiments, the liquid tube is provided with a pump that feeds liquid into the tube and discharges liquid from the tube. The pump can be installed at any position within the tube, arranged outside the tube, or attached to any position of the tube. The pump can discharge liquid, air, substances, or combinations thereof. The pump can be of nano size or for large-scale industrial-scale tubes such as large municipal water pipes. The tube can be connected to other tubes to create a circulating flow, or both ends of the tube can be open to allow liquid to flow continuously like the sea. The pump needs to be managed by the device to allow for time variations between intermittent pumping and increase the time that substances stay under the lens and between the microscope slides for an autofocus application to focus. If the time to focus on substances is a concern, multiple pumps can be used to pass liquid through multiple parallel tubes with multiple lenses to obtain more data in a shorter time.

[0398] In some embodiments, a blacklight can be attached to the present disclosure, whereby a camera installed there can show the user whether blood, urine, and semen are present on the bedding, floor, rug, and wall. These images can be transferred to a control unit, from which the images can be transferred to a laptop by wire or wirelessly, or uploaded to a command center for further evaluation.

[0399] Although not shown in the figure, the photodetector can be used to detect pathogenic or non-pathogenic microorganisms and other contaminants. Usually, when the detection unit detects something, the control unit receives data such as an image feed from the detection unit and places a colored box around the detected object. This box is displayed on the display unit and analyzed and identified by the artificial intelligence and machine learning algorithms of the control unit. When a pathogenic microorganism is detected, a warning signal lamp blinks. The shape and color for each type of detected microorganism are unique to this device, such as rod-shaped or spherical with colored edges.

[0400] Although not shown in the figure, the photodetector can be used to detect pathogenic or non-pathogenic microorganisms and other contaminants. Usually, when the detection unit detects something, the control unit receives data such as an image feed from the detection unit and places a colored box around the detected object. This box is displayed on the display unit and analyzed and identified by the artificial intelligence and machine learning algorithms of the control unit. When a pathogenic microorganism is detected, a warning signal lamp blinks. The shape and color for each type of detected microorganism are unique to this device, such as rod-shaped or spherical with colored edges.

[0401] Machine learning algorithms can be trained to detect and classify all types of substances or microorganisms from an image feed, such as (but not limited to): all bacterial classes, singular forms of bacteria - spherical, rod-shaped, spiral-shaped, filamentous, etc., bacterial colonies - spherical colonies, rod-shaped colonies, spiral-shaped colonies, etc., all virus classes, viruses - rod-shaped types, crown (spike), spherical, virus - colonies, all classes of pests, mites, algae, fungi, all classes of allergens, all classes of contaminants, common singular substances, and clusters of common substances. The labeling of data can be performed first in a single form and then in a cluster form.

[0402] Artificial intelligence and machine learning algorithms can be trained to detect and classify all kinds of substances and microorganisms from an image feed, including but not limited to: all bacterial classes, singular forms of bacteria (such as spherical, rod-shaped, spiral-shaped, filamentous, etc.), bacterial colonies - spherical colonies, rod-shaped colonies, spiral-shaped colonies, etc. All virus classes. Viruses - rod-shaped, corona (spike), spherical. Viruses - colonies. All classes of pests, mites, algae, fungi. All classes of allergens. All classes of contaminants. Common single substances. And clusters of common substances. Labeling of data can be performed first in a single form and then in a cluster form.

[0403] The current system, at level 1, identifies problems by surrounding them with colored square boxes (colors customized according to the user's preference), and provides corresponding annotations in text form next to the boxes. For example, on the display screen, boxes of different colors represent different kinds of substances. · A dark blue box indicates bacilli. · A blue box represents a spiral structure. · A purple box represents a spherical object. · A yellow box represents one mite. · A yellow box with a red line at the top indicates multiple mites. · A light green box represents a rod-shaped colony. · A cyan box indicates a spiral-shaped colony. · A red box represents a spherical colony.

[0404] The color box can be adjusted to represent various types of substances, such as substances visible under black light and substances contained in pet excrement. There are hundreds of color combinations indicating specific types of substances, colonies, clusters, and combinations of substances. At level 2, substances are identified by pink, red, or purple double-layer boxes and labeled "Warning". This designation is used to draw attention to data that requires special attention or immediate action.

[0405] The device is cleverly designed to initiate a series of safety measures when biological bacteria or unknown substances are detected. To effectively contain potential threats, it shuts down immediately, sends a warning, and closes the tube. The operating algorithm activates the pump in the "auxiliary tube" or "secondary tube" (connected to the main transparent liquid tube observing the liquid sample), and then is programmed to redirect the hazardous substance to an auxiliary or secondary transparent liquid tube observing the liquid sample. Here, a clear image magnifier and a microscope slide are used to re-evaluate the threat after circulating another storage containing a cocktail of biosurfactants.

[0406] Furthermore, each tube is equipped with a shut-off valve that can be manually rotated at both ends of the tube. Each tube has its own pump, and the shut-off valve can be rotated 90 degrees to pump the liquid into the auxiliary tube. The tube can be removed by hand.

[0407] When the system is in the warning mode, the second action executed after the pink, purple, and red lights flash is to automatically turn on the valve to solve the problem. Then, the tube may be disconnected from the device by a robot and transported by a drone. When operating manually, the entire device or only the liquid tube can be transported to the laboratory for further evaluation.

[0408] When the system is in warning mode, the second action to be executed after the pink, purple, and red lights flash is to automatically turn on the valve to resolve the problem. After that, the tube may be disconnected from the device by the robot and transported by the drone. When operating manually, the entire device or just the liquid tube can be transported to the laboratory for further evaluation.

[0409] The nanomechanical arm that can be attached to the tube is requested from the device, reaches the isolated substance, and can also be retrieved for transportation by another sealed storage, or a drone, robot, or ship equipped with a sealed storage for transporting hazardous substances.

[0410] After a potentially dangerous substance has circulated through another liquid tube (the second transparent liquid tube with the biosurfactant option or the one called "Ridcrobe"), the device evaluates the effectiveness of the biosurfactant cocktail that neutralizes the threat. When the biosurfactant mixture decomposes the cell wall of the virus, decomposes the bacteria, or decomposes the contaminants, the primary (or "main") transparent liquid tube is reactivated and the device resumes operation seamlessly.

[0411] In some embodiments, the present disclosure is designed for military and law enforcement applications, enabling the gates and auxiliary tubes to close the main transparent liquid tube and effectively isolate potentially dangerous substances. Additionally, if necessary, the tube can be removed from the main liquid tube and transported to a designated location for further evaluation.

[0412] A magnet can be installed inside the tube for the purpose of attracting metal to the area under the lens of the microscope. For the observation and detection of contaminants that may involve metal, a magnet that attracts metal is embedded inside the tube, and the magnet is placed directly under the lens of the microscope so that metal particles can be observed with the lens. The magnet can be placed outside or inside the tube. The magnet installed outside is pulled to a place slightly away from the tube, releasing metal particles and dust, and the pump removes the metal pieces (if any) inside the tube.

[0413] The control unit is equipped with software applications. The software applications are classified into two different categories: general software programs and algorithms for controlling and managing the transparent liquid tube, and special software programs and algorithms trained or learning functions through the processes of artificial intelligence and machine learning. Through the artificial intelligence and machine learning platform, the extraordinary effectiveness of this high-performance liquid tube device is proven by the ability to meticulously collect a vast number of data points from various environmental sources, thereby ensuring the highest accuracy of data acquisition. This amazing accuracy is achieved by simultaneously analyzing millions of data points covering a wide variety of substances from pathogens to contaminants, enabling comprehensive and reliable report generation. At the heart of this cutting-edge technology is the strategic implementation of a wide-ranging liquid tube system. Combining this system with various image magnification devices such as microscopes enables seamless detection and evaluation of millions of data points, bringing a revolution to the field of data collection and analysis.

[0414] Training with artificial intelligence and machine learning algorithms involves the development of computer code customized to detect specific substances very finely, depending on various attributes such as data, images, videos, color, motility, mobility, shape, size (including circumference and diameter), weight, etc. Further, the present disclosure reveals integrating additional environmental sensors, cantilevers, and lasers as auxiliary detection mechanisms, thereby strengthening the device's position at the forefront of the state-of-the-art technology and enhancing its capabilities in that area for environmental monitoring and analysis. For additional environmental sensors, cantilevers, lasers, refer to U.S. Patent Application No. 17 / 879,932, filed on August 3, 2022, entitled "Applications of Mobile AI, Cantilevers, Robots, and Drones." This is hereby incorporated by reference in its entirety into this specification.

[0415] In some embodiments, the present disclosure employs a series of specially trained algorithms that leverage advancements in artificial intelligence and machine learning algorithms to devise a clear approach for identifying pathogens or contaminants. These algorithms not only focus on detection but also cover the seamless operation of various interconnected components such as pumps, detection units, drones, etc. This optimizes the performance of the device, ensures accurate detection and effective management of all components, and ultimately brings a revolution to the field of environmental monitoring and analysis.

[0416] The present disclosure aims to provide a highly reliable and efficient method for detecting any microorganism present in a liquid sample, regardless of whether it is a pathogenic microorganism. As used herein, the expression "detecting a pathogen" is not limited to the detection of pathogenic microorganisms such as bacteria, viruses, fungi, etc., but also includes the detection of non-pathogenic microorganisms or contaminants that may be present in a liquid sample. In this regard, the term "substance" as used herein can be defined as anything that has mass and occupies space, including biological bacteria, viruses, bacteria, fungi, protozoa, molds, allergens, disease-causing microorganisms (pathogens), non-disease-causing microorganisms (non-pathogens), clusters of microorganisms, hydrocarbons, metals, oils, human and animal body fluids, fertilizers, chemicals, contaminants, algae, water, steam, liquids, and solids that can be decomposed by a blender in a sample reservoir that may rotate continuously when the system is on, but is not limited thereto. This comprehensive approach to pathogen detection ensures that the present disclosure has broad applicability and can be used in a variety of situations where it is necessary to detect and / or remove the presence of any type of microorganism.

[0417] The control unit is composed of a processor that analyzes the light detected by the photodetector, and uses artificial intelligence and machine learning algorithms to determine the presence of pathogens in the liquid sample based on the amount of light detected. The processor can be any suitable computing device such as a microcontroller, microprocessor, computer, etc.

[0418] In some embodiments, the liquid tube may further comprise a liquid sample collection unit for collecting a liquid sample (see FIGS. 5 and 6). The liquid sample collection unit can collect liquid samples from various sources including, but not limited to, faucets, wells, sea areas, streams, lake flows, municipal water treatment facilities, the surface of the earth, air, or natural water sources, and store the liquid samples in a sample reservoir connected to a transparent liquid tube, or in another reservoir or auxiliary reservoir for later evaluation or shipment. The sample collection unit can be any suitable mechanism for collecting a liquid sample, such as, for example, a dipping or drag device (see FIGS. 5A and 5B), a robotic arm (see FIG. 5C), a water bike (see FIG. 6A), a drone (see FIG. 6B), a robot (see FIG. 6C), or other mobile vehicles with or without robotic arms, pipettes, or syringes.

[0419] In some embodiments, the sample collection unit is the adhesive substance disclosed in U.S. Provisional Application No. 63 / 345,825, filed May 25, 2022, "Detection of All Kinds of Substances by a Ball Rotating with Static Electricity, Detection of Adhesive Substances on Surfaces or Magnetized Substances Using Artificial Intelligence", the entire disclosure of which is incorporated herein by reference. This method involves coating a portion of the surface of an object such as a sphere with an adhesive substance such as a protein, immersing the protein in a container, and then causing the protein to adhere to the surface of the sphere. Next, the sphere is rolled, touched, gently tapped, or dragged across the surface by a robotic arm or a user, thereby agitating the substance and causing the protein to attract the substance to the surface of the sphere and stick to the sphere until the sphere is submerged in the sample reservoir by the robotic arm. Since the adhesive substance may be water-soluble, it may be necessary to wash the surface with water after capturing the substance. On the other hand, a manual method for obtaining materials for manual application at home is to use the rolling ball method. This device uses a sphere that can be coated with an adhesive substance such as a protein. The ball can be rolled across the surface to collect the substance by hand.

[0420] In some embodiments, the liquid sample collection unit may comprise a swabbing or dragging device (see FIGS. 5A and 5B). The swabbing or dragging device has plastic rods (502, 503, 504) wrapped in a linen fabric (501) and / or frayed edges (505), and is a simple and effective tool for collecting liquid samples. The plastic poles provide a strong and lightweight handle, and the linen fabric provides a high-quality absorbent material for collecting liquids. The poles are tightly wound with linen fabric, creating a smooth and uniform surface, and the surface can be easily tapped or dragged gently to collect liquid samples. FIG. 5B shows another method of collecting substances from a surface. FIG. 506 is a plastic pole that can be attached to a robotic arm or held by a user to obtain substances from a surface. FIG. 507 is a triangular solid object that is dragged along the surface by a user or robotic arm and then submerged in a sample reservoir to release the substance. FIG. 508 is a rectangular shape for the same application as FIG. 507. FIGS. 509 and 510 are for the same application but have different shapes that can peel substances from the surface. FIG. 5C is a robotic arm that holds the drag and swab objects of FIGS. 5A and 5B. FIG. 512 is a robotic arm that can be attached to a UMMDA or UMMDA mobile vehicle. FIG. 513 is a section that can be attached to FIGS. 5A and 5B. FIG. 514 is another side of the robotic arm. FIG. 515 is a section that can be attached to FIGS. 5A and 5B. FIGS. 6A, 6B, and 6C are UMMDA mobile vehicles. FIGS. 604, 606, and 608 are sections that can be attached to FIGS. 5A and 5B.

[0421] The swabbing or drug device can be made in various shapes, such as a complete triangle, a complete rectangle, or a rectangle with rounded corners. The shape of the device affects performance and usability, and different shapes offer advantages for different types of samples and surfaces. For example, a rectangle is more effective when collecting samples from corners or narrow spaces, while a rounded rectangle is more effective when collecting samples from larger, flatter surfaces. The swabbing or drug device can also be customized according to specific applications, such as the size and texture of the handle, and the absorbency of the fabric.

[0422] The liquid sample collection unit may further be configured to filter debris and other impurities in the liquid sample before introducing the liquid sample into the sample reservoir. The liquid sample collection unit may be remotely controlled by a control unit.

[0423] In some embodiments, the transparent liquid tube may further include a communication unit for transmitting the pathogen detection result to a remote device. The communication unit can be configured to transmit the pathogen detection result via a wireless communication module such as Wi-Fi or Bluetooth, or via a wired connection such as Ethernet or USB. The remote device can be any suitable computing device, such as a smartphone, tablet, computer, etc.

[0424] In yet another embodiment, the liquid tube further includes a display unit for displaying the pathogen detection result. The display unit can be any suitable type of display, such as a liquid crystal display or an organic light emitting diode display. In the context of the present disclosure, the display unit includes various display options, including laptop screens, mobile phone displays, desktop and server monitors, tablet screens, and glass walls and plates that can display data transmitted from the tube device.

[0425] In some embodiments, the transparent liquid tube may further comprise a battery for powering the liquid tube. The battery is a rechargeable lithium-ion battery or a disposable alkaline battery and can be charged using a suitable charging device such as a charging dock or a USB charger. The power source is not limited in this specification and can be anything conventionally used in the art.

[0426] FIG. 7 shows a flowchart 700 of a method for detecting one or more of a substance and a plurality of microorganisms, according to at least one embodiment. The method includes a step 702 of collecting a liquid, a substance, and microorganisms with a plurality of remotely controlled unmanned land, air, and underwater self-propelled devices. The method includes a step 704 of introducing the collected liquid, substance, and microorganisms into a sample storage. The method includes a step 706 of drawing the liquid and the substance from the storage into a liquid tube. The method includes a step 708 of disposing the liquid and the substance on a sample surface of a plurality of microscope slides. The method includes a step 710 of illuminating the liquid and the substance on the sample surface of the microscope slide using a light source. The method includes a step 712 of magnifying the liquid and the substance on the sample surface of the microscope slide with a microscope. The method includes a step 714 of detecting the amount of light transmitted through the liquid sample using a light detector and / or detecting fluorescence emitted from the liquid sample on the sample surface of the microscope slide using a microscope. The method includes a step 716 of analyzing the light detected by the light detector and / or generating a signal indicative of the fluorescence emitted from the liquid sample on the sample surface of the microscope slide using a processor, thereby determining the presence of the substance in the liquid sample. The method includes a step 718 of transmitting or displaying the detection results of the substance and the microorganisms. The method includes a step 720 of controlling the operation of the liquid tube using a control unit equipped with a plurality of machine learning algorithm platforms. The method includes a step 722 of predicting a plurality of events in outdoor and indoor environments from data obtained by the operation of the method and the device. The method includes a step 724 of detecting the motility and mobility of the microorganisms.

[0427] Another aspect of the present disclosure is a method for detecting pathogens in a liquid sample. The method for detecting pathogens in a liquid sample includes using the transparent liquid tube described herein. The method begins by introducing the liquid sample from the inlet port into the sample reservoir. Next, the liquid sample is drawn into the transparent liquid tube from the outlet port. In one embodiment, the pump can be operated by time intervals and the duration of the overall operation, or stopped to generate a reverse pumping operation to wash away large materials captured in the liquid tube. This enables placing a controlled and accurate amount of the liquid sample on the sample surface of the microslide specially designed for detecting pathogens or contaminants as described herein. The liquid sample pumped from the sample reservoir moves through the liquid tube in which the detection unit is embedded.

[0428] After placing the liquid sample on the sample surface of the microslide while moving it through the liquid tube, it is illuminated with a light source or laser, and the resulting image is magnified using a microscope. The amount of light transmitted through the liquid sample is detected using a photodetector, or the fluorescence emitted from the liquid sample on the sample surface of the microslide is detected using a microscope.

[0429] The light detected by the photodetector and / or the fluorescence emitted from the liquid sample on the sample surface of the microslide is analyzed using a processor to generate a signal indicating the presence or absence of pathogens or contaminants in the liquid sample. The signal is then transmitted to the control unit or displayed to the user. Artificial intelligence and machine learning algorithms are used to accurately identify pathogenic or non-pathogenic microorganisms in the liquid sample. The control unit is designed to analyze large amounts of data quickly and accurately and serves as a powerful tool for detecting and identifying pathogens and contaminants.

[0430] The artificial intelligence and machine learning algorithms within the control unit can be trained with a large database of pathogenic and non-pathogenic microorganisms, enabling accurate differentiation between pathogenic and non-pathogenic microorganisms. The algorithms are designed to adapt and improve over time, learning with each new data point and increasing in accuracy with each analysis.

[0431] When a signal is sent to the control unit, the algorithm quickly analyzes the data and generates a report identifying pathogenic microorganisms in the liquid sample. The report is customizable and can provide detailed information regarding the type, concentration, weight, and other relevant information of the pathogen.

[0432] By using advanced artificial intelligence and machine learning algorithms, this pathogen or contaminant detection method provides high accuracy and reliability, making it a valuable tool for a wide range of applications.

[0433] In some embodiments, in addition to the step of detecting and identifying pathogens in the liquid sample, this method may further include the step of applying a biosurfactant to remove pathogens or other contaminants in the environment. Biosurfactants are natural compounds that have been shown to be effective in degrading and removing a wide range of contaminants, including bacteria, fungi, and viruses, as previously described.

[0434] This method helps reduce the total amount of pathogens by applying biosurfactants to the environment and facilitates the detection and identification of the pathogens remaining in the liquid sample. Biosurfactants act to break down the outer membrane of microorganisms, causing them to lose their structural integrity and die.

[0435] Biosurfactants are not only effective in removing pathogenic bacteria and other contaminants but are also environmentally friendly and non-toxic, making them a safe and sustainable alternative to conventional cleaning and disinfection methods.

[0436] Furthermore, another aspect of the present disclosure can include a transparent liquid tube and a remote device for receiving pathogen detection results transmitted from the transparent liquid tube, as described herein, a system for detecting pathogens in a liquid sample. The remote device can be any suitable device, such as a computer, smartphone, tablet, etc., that can receive and display pathogen detection results.

[0437] Note that the design and configuration of the transparent liquid tube may vary depending on the application and specific requirements. For example, the size, shape, and material of the sample reservoir, sample inlet, and sample outlet can be changed to accommodate different types and amounts of liquid samples. Additionally, the liquid sample collection unit can be integrated at various locations on the transparent liquid tube depending on space and access requirements.

[0438] This system for detecting pathogens or contaminants in real-time provides an innovative solution to the problem of timely and accurate detection of pathogens or contaminants. By incorporating advanced detection technologies and artificial intelligence and machine learning platforms, this system can detect pathogens and contaminants in liquid samples with high accuracy and speed. Additionally, some embodiments of the present disclosure include a battery, liquid sample collection unit, display unit, and communication unit, making it a versatile and convenient tool for use in various settings.

[0439] The present disclosure described herein is not limited to the disclosed embodiments and includes all modifications and changes that can be implemented. For example, various types of storage tanks, tubes, channels, and moving carriers may be used for specific applications. The scope of the present disclosure is intended to encompass all modifications and changes as described in the following claims.

Claims

1. A method for detecting one or more of a substance and a plurality of microorganisms, comprising: a. Collecting a sample containing a liquid, a substance, and / or a microorganism using a plurality of remotely operated unmanned land, air, and water self-propelled devices; b. Introducing the sample into a sample storage tank connected to the inlet of a liquid tube; c. Drawing the sample from the sample storage tank through a sample outlet into a liquid tube in which a plurality of microscope slides are embedded; d. Placing the sample on the sample surfaces of the plurality of microscope slides; e. Illuminating the sample on the sample surfaces of the plurality of microscope slides with a light source; f. Intermittently pumping the sample from the sample storage tank between the microscope slides; g. Magnifying the sample on the sample surface of the microscope slide with an image magnifying device; h. Detecting the amount of light passing through the sample using a light detector, or detecting the fluorescence emitted from the sample surface of the microscope slide using a microscope; i. Analyzing the light detected by the light detector, or generating a signal indicating the fluorescence emitted from the sample surface of the microscope slide and transferring the signal to a computer software device to determine the presence of substances and microorganisms in the sample; j. Transmitting or displaying the detection results of the substances and microorganisms; k. Controlling the operation of the pump in the liquid tube using a control unit, and the control unit equipped with a plurality of algorithms manages the operation to identify and classify the sample; l. Detecting the motility and mobility of microorganisms, the color of substances, the mass of substances, pollutants or the type of substances, characterized in that the substances and microorganisms exist singly or in a complex; m. Predicting a plurality of events in outdoor and indoor environments based on the data obtained from step l.

2. In the method of claim 1, the plurality of remotely operated unmanned land, air, and water self-propelled devices are controlled by a control unit.

3. In the method of claim 1, the liquid sample is collected from a natural water area, an artificial water area, a sewage treatment plant, or an industrial facility.

4. In the method of claim 1, the liquid tube comprises a plurality of interconnected tube sections, and the length of the tube and the position of the sample outlet can be adjusted.

5. In the method of claim 4, the plurality of interconnected tube sections includes a storage pump tube, a pump outlet tube, a liquid observation tube, and a storage inlet tube.

6. In the method of claim 1, the image magnifying device includes a microscope, a camera, or a combination thereof.

7. In the method of claim 1, the image magnifying device is a laser selected from the group consisting of a solid laser, a gas laser, a liquid laser, a chemical laser, and a metal vapor laser.

8. In the method of claim 1, the computer software device comprises one or more algorithms for detecting and identifying the presence of microorganisms or substances in the sample.

9. In the method of claim 1, a control unit having an algorithm for optimizing the operation of the pump in the liquid tube based on the characteristics of the sample.

10. In the method of claim 1, the prediction steps of a plurality of events in outdoor and indoor environments include predicting the growth of microorganisms, the spread of contaminants or diseases, or changes in environmental conditions.

11. In the method of claim 1, when the alert mode is activated by detecting pathogenic microorganisms, the sample is transported to an auxiliary storage tank and / or an auxiliary liquid tube and further evaluated.

12. In the method of claim 11, when the alert mode is activated by detecting pathogenic microorganisms, steps b to m are repeated.

13. In the method of claim 11 or 12, further comprising removing pathogenic microorganisms using a biosurfactant, the biosurfactant being selected from the group consisting of surfactin, iturin, fengycin, lichenysin, serrawettin, phospholipids, rhamnolipids, sophorolipids, trehalolipids, mannosylerythritol lipids, cellobioripids, lipoproteins, rubiwettin, trehalose, ornithine, pentasaccharide lipids, viscosin, bacitracin, lipopeptides, and combinations thereof.

14. An apparatus for detecting substances and microorganisms, comprising: at least one sample storage tank, having a sample inlet and a sample outlet, for holding a sample containing liquid, substances, and microorganisms; at least one liquid tube, connected to the sample outlet of the sample storage tank, with a plurality of microscope slides embedded therein, and a plurality of image magnification devices arranged above or below them, and a light source being used to irradiate the samples on the plurality of microscope slides; a control unit equipped with computer software and an algorithm program for managing the operation of the apparatus and identifying and classifying samples, the control unit being electrically communicative with at least one sample storage tank and at least one liquid tube.

15. In the apparatus of claim 14, each liquid tube includes an interconnected tube section comprising a storage pump tube, a pump outlet tube, a liquid observation tube, and a storage inlet tube.

16. In the apparatus of claim 14, the microscope slides are adjustable and the spacing between the microscope slides within the liquid tube can be increased or decreased.

17. In the apparatus of claim 16, one of the microscope slides is fixed and the other microscope slides are movable.

18. In the apparatus of claim 16, the microscope slides are a layered three-slide system, with the upper microscope slide being fixed and the middle and lower microscope slides being adjustable.

19. In the apparatus of claim 14, the liquid tube includes a main liquid tube and an auxiliary liquid tube, the main liquid tube first detects the presence of substances or contaminants in the sample, and when pathogenic microorganisms are contained in the substances or contaminants, the alert mode is activated and the auxiliary liquid tube operates for further evaluation.

20. The apparatus of claim 19, further comprising removing pathogenic microorganisms using a biosurfactant, wherein the biosurfactant is selected from surfactin, iturin, fengycin, lichenysin, serrawettin, phospholipids, rhamnolipids, sophorolipids, trehalolipids, mannosylerythritol lipids, cellobioripids, lipoproteins, rubiwettin, trehalose, ornithine, pentasaccharide lipids, viscosin, bacitracin, lipopeptides, and combinations thereof.

Images