182 results about "Mass sensor" patented technology

The invention discloses a mixed emulsion explosive one-key production control method and system, and relates to the field of automatic and intelligent control. By means of automatic and intelligent control means, the problems of low efficiency, high cost, quality fluctuation, process uncertainty and the like in traditional mixed emulsion explosive production are solved, accurate feeding of raw materials is achieved through a quality sensor array and a PID control algorithm, and the production efficiency is improved. The stability of production parameters is ensured through multi-sensor data fusion and an advanced control algorithm, so that the consistency of product quality is improved; meanwhile, a feedback control loop and a continuous learning mechanism are established, closed-loop control in the production process is achieved, technological parameters are optimized, the production stability and reliability are ensured, the production efficiency and the product quality are remarkably improved, and the labor cost is reduced.

The invention discloses a laboratory resource efficient allocation method based on big data analysis, and relates to the technical field of laboratory resource management.The method comprises the following specific steps that microenvironment parameters are monitored and collected, comprising a temperature and humidity sensor, an air quality sensor, an illumination intensity sensor and an electromagnetic interference intensity sensor, a dynamic association model of external environment and laboratory resource demands is established by using a big data analysis technology, so that a complex relationship between external environment change and laboratory resource demands is accurately analyzed; a powerful basis is provided for scientific and reasonable resource allocation, so that a laboratory can more accurately predict and judge the demand degree of each resource and the allocation priority under different external environment conditions, unreasonable allocation and waste of the resources are avoided, and the resource allocation efficiency is remarkably improved.

Systems, methods, and computer-readable media for calibrating air quality sensors are provided. A sensor node includes a sensor node printed circuit board, a sensor module, and a communication module. The sensor node printed circuit board manages power of the sensor node circuitry, the sensor module, and the communication module such that power is provided from a primary power supply supplemented by a secondary power supply. The sensor module includes a plurality of air quality sensors to measure the concentration of air pollutants. The sensor module may be replaceable. The communication module may communicate air quality measurements to and receive configurations from a data management platform, which may perform processes to improve the accuracy of the air quality measurements.

The invention discloses an AC / DC power distribution network power quality control method and device, and the method comprises the steps: collecting power quality data in an AC / DC power distribution network, carrying out the feature analysis of the power quality data, and obtaining a current feature parameter and a voltage abnormality identifier; carrying out differential compression processing on the power quality data based on the current characteristic parameters and the voltage abnormity identification; transmitting the compressed data and feature information through a redundant channel comprising a main communication link and a standby communication link; and generating electric energy quality alarm information according to the transmitted data, and performing power grid operation decision control according to the information. According to the method, the electric energy quality data of the plurality of Internet of Things electric energy quality sensors in the AC / DC power distribution network are collected, and harmonic analysis is performed on the current waveform of the electric energy quality data, so that the accuracy and robustness of feature extraction are ensured; therefore, the requirements of the modern AC / DC hybrid power distribution network for high-precision, high-reliability and quick-response power quality control can be met.

The invention relates to the technical field of air quality monitoring, and provides an air quality sensor based on the Internet of Things and a remote control method thereof, and the air quality sensor comprises a multi-source heterogeneous sensing fusion system, a time-space domain edge gateway system and a dynamic response collaborative central system. The remote control method comprises the steps that a purification device linkage control matrix is processed through a heterogeneous instruction fusion technology to obtain a space optimization control vector set, and the space optimization control vector set forms a man-machine interaction entropy value mechanism; the man-machine interaction entropy value model is processed through an entropy weight dynamic distribution strategy to obtain a space state sensing vector, and the space state sensing vector forms a cross-medium alarm triggering channel; the cross-medium alarm trigger channel is processed by the bidirectional response coupling engine to obtain an equipment state feature topology, and the equipment state feature topology forms a closed-loop control entropy correction instruction. According to the invention, pollution of a physical space is dynamically converted into operable equipment control parameters, and a complete Internet of Things closed-loop system from environment monitoring to purification execution is established.

In order to solve the traceability problem of the LNG filling machine calibrating device, the utility model discloses a mass real flow calibration system for the LNG filling machine calibrating device, which is used for calibrating the LNG filling machine calibrating device. The system comprises an LNG filling machine, an LNG filling machine calibrating device and an LNG storage tank which are connected in sequence, and the LNG filling machine calibrating device comprises a calibrating mass flow meter used for detecting the accumulated mass flow value in a pipeline; a high-precision mass sensor is installed in the LNG storage tank and used for detecting the accumulated mass flow value of the LNG storage tank. By recording the accumulated mass flow value output by the calibration mass flowmeter and the accumulated mass flow value output by the high-precision mass sensor within the same time and comparing the accumulated mass flow value with the accumulated mass flow value, the error of the LNG filling machine calibration device can be determined.

A method for identifying an animal using a pet health device including a) monitoring for a presence of the animal at the one or more pet health devices by one or more sensing devices; b) detecting the presence of the animal at the one or more pet health devices by the one or more sensing devices; c) recording a weight of the animal as detected by the one or more sensing devices, wherein the one or more sensing devices include one or more mass sensors, and the weight once recorded is a recorded weight; d) detecting a departure of the animal from the one or more pet health devices by the one or more sensing devices; and e) automatically identifying the animal by automatically associating the recorded weight with an identify of the animal by matching the recorded weight with a substantially similar weight associated with an animal profile.

The invention discloses an electric energy quality deduction prediction system based on artificial intelligence. An electric energy quality sensor collects voltage, current harmonic waves and transient disturbance data of multiple feeder nodes of a power grid; after the in-situ calculation unit compresses the collected data, the data access module processes the compressed data to obtain multi-monitoring-point continuous sequence data; the power quality deduction prediction sub-module trains a spatial-temporal feature extraction model through deep learning, processes the obtained data based on the trained model, and generates an advanced early warning signal; the multi-interference-source combined research and judgment sub-module processes power grid topology based on a graph attention network layer, and realizes accurate quantification of multi-interference-source harmonic responsibility by combining with global interactive calculation of a traceability attention layer; and the active decision-making module generates treatment strategy suggestions according to the early warning and quantification results and visually outputs the treatment strategy suggestions. According to the invention, the problem of high false alarm rate of fixed threshold alarm in a low signal-to-noise ratio scene is effectively solved.

The utility model relates to the technical field of ecological grid structure construction, and discloses a movable ecological grid entity structure detection device which comprises a base, one side of the base is fixedly connected with a push rod, the bottom of the base is provided with universal wheels, the outer sides of the universal wheels are provided with brakes, the top of the base is fixedly connected with a fixed plate, and the fixed plate is fixedly connected with a movable plate. A placement plate is arranged at the bottom of the fixing plate, a mass sensor is arranged at the top of the fixing plate, a hook is arranged at the bottom of the mass sensor, a fixing ring is arranged at the bottom of the hook, a pull rope is fixedly connected to the bottom of the fixing ring, and one end of the pull rope is fixedly connected to the top of the placement plate. According to the device, stone can be weighed through the mass sensor, the hook, the fixing ring, the pull rope and the placement plate, and the whole device can be driven to move by pushing the push rod, the base and the universal wheels, so that the device can move conveniently and quickly, and the flexibility and convenience of the device are improved.

A beverage dispensing system is configured to facilitate communication between a point of sale terminal and a beverage dispenser for receiving and fulfilling beverage orders. The dispensing system includes a conversion server that maps beverage orders between point of sale entry data and beverage dispenser recipe data. An automatic portion control (APC) assembly includes a mass sensor configured to determine a mass of a cup resting thereon. Using the mass of the cup, the dispenser makes a cup size prediction and performs a portion control dispensing operation. Based on the cup size prediction, a user interface is modified to allow for faster interaction. The APC assembly is positioned beneath a nozzle of the beverage dispenser and includes a removable platform assembly magnetically coupled to a mass sensor assembly. The mass sensor assembly includes a load cell or other mass sensor.

The intelligent LED street lamp comprises the lamp pole, a first component, a second component, a third component and a fourth component, and the first component comprises a first lifting plate unit and a display screen unit; the second part comprises a second lifting plate unit and an air quality sensor; the third part comprises a third lifting plate unit and a base station shell; the fourth component comprises a fourth lifting plate unit and an LED lamp holder unit. According to the intelligent LED street lamp, the street lamp can be lifted and lowered, so that the height of the street lamp can be lowered in severe weather, and the street lamp is protected. In addition, active heat dissipation can be achieved, and active air circulation can be achieved when ambient air is detected.

The utility model discloses a plastic injection molding machine which comprises an injection molding machine main body, a dyeing mechanism, a conveying mechanism and a controller, the mass sensor can automatically detect the mass of the transparent plastic particles in the cylinder body, the corresponding storage cylinder is automatically opened according to the color ratio, then the stirring piece is started in good time, automatic dyeing of the plastic particles is achieved, the trouble that an injection molding machine needs to dye the plastic particles manually is avoided, and the injection molding efficiency is effectively improved. The discharge part is mounted at the bottom end of the barrel, the conveying mechanism is arranged on one side of the barrel, the discharge part is aligned to the conveying mechanism, and the conveying mechanism is communicated with the injection molding machine main body. And the conveying mechanism can directly feed the plastic particles into the injection molding machine main body, so that the trouble of manually carrying the plastic particles is avoided, and the practical performance is further improved.

The invention relates to the technical field of test devices, in particular to a modularized sand-liquid mixing and accurate adding system for a sand-containing cavitation test of a water turbine, which comprises a sand-water mixing tank connected with a water inlet pipe and a water outlet pipe, the water inlet pipe is connected with a main pipeline, and a metering pump is arranged on the water outlet pipe; a first sand content monitoring sensor, a liquid level sensor and a stirring structure are arranged in the sand-water mixing tank; a material storage ball is arranged on the support, sand grains are arranged in the material storage ball, and a mass sensor is arranged on the support; and the conveying structure is connected with the storage ball and the sand-water mixing tank. The functions of sand liquid preparation, accurate metering, intelligent control, mixed injection and the like are highly integrated in an independent module to form a complete system which can operate independently. By means of the modular design, the system is compact in structure, small in occupied area and convenient to install, debug and maintain. And the high-precision sand content control ensures the accuracy and repeatability of test conditions, so that the test data is more reliable, and powerful support is provided for scientific research.

The present application relates to the technical fields of gypsum board moisture deflection measurement, and specifically relates to a gypsum board moisture deflection tester, which comprises a constant temperature and humidity chamber, a plurality of moisture inlet pipes are distributed on both sides of the constant temperature and humidity chamber, a temperature and humidity sensor is installed on the inner top surface, and a moving assembly is installed on the top of the inner cavity. A mounting bracket is installed on the top of the moving assembly, and a range finder is detachably installed at the bottom end of the mounting bracket. A plurality of sliding assemblies are arranged on the inner walls of both sides of the constant temperature and humidity chamber along the vertical direction at equal intervals, a placing frame is connected between two sliding assemblies at the same height, a placing table is arranged in the placing frame, a placing groove is arranged on the top of the placing table, a mass sensor is installed on the inner bottom surface of the placing frame and connected with the bottom end of the placing table. The application further comprises an external temperature and humidity control device connected with the moisture inlet pipes through a gas pipe. The present application realizes in-situ non-contact deflection measurement and synchronous monitoring of mass change of the gypsum board under the moisture state, has high testing precision, can realize multi-layer synchronous testing, and effectively improves the detection efficiency and data accuracy.

The utility model relates to a gas detection structure for rapid detection of an automobile air quality sensor, which comprises a rotating disk, a gas sensor and a gas sensor, the bracket is arranged on the side of the rotating disc; the pressing mechanism is connected with the bracket in a sliding manner and is arranged right above the bearing plate; the electrifying mechanism is connected with the bracket in a sliding manner and is arranged under the bearing plate; the gas conveying mechanism is arranged on the side of the bearing plate and comprises a front-back moving air cylinder arranged on the support, a gas channel arranged at the output end of the front-back moving air cylinder and connectors arranged on the gas channel at intervals, and the connectors directly face a gas detection inlet of the air quality sensor. According to the utility model, the air quality sensor is placed on the bearing plate, and after the air quality sensor is pressed by the pressing mechanism, the accurate connection between the air passage and the inlet of the air quality sensor and the accurate connection between the electric connection end of the air quality sensor and the electrifying mechanism are ensured, and the detection quality of the sensor can be ensured.

The utility model discloses a quantitative mixing device for low-fusel alcohol oil liquor fermentation metabolism regulating liquid, which belongs to the technical field of winemaking equipment. The utility model includes a bottom cylinder and a top cover plugged on the bottom cylinder, the top cover is provided with a feed pipe, the bottom cylinder is provided with a liquid inlet pipe, a liquid outlet pipe and a control panel, the bottom cylinder is provided with a mass sensor located on the upper surface and a filter assembly located in its inner cavity, and the upper end of the inner cavity of the filter assembly is the same size as the inner cavity of the top cover. The utility model quantitatively stores the raw materials required for preparing the fermentation metabolism regulating liquid in sequence through the top cover, and when the weight of the raw materials reaches the required value, the rotating plate can be controlled to rotate to discharge the materials, and the pushing assembly can push the raw materials adhered to the side wall of the cover body into the filter cylinder to make it fall completely. The whole process of adding raw materials is relatively simple and convenient, and compared with the prior art, there are fewer manual operations, which effectively improves efficiency.

The invention relates to the technical field of power system relay protection, and discloses a transformer gas relay maloperation prevention simulation method based on flow field analysis. Comprising the steps of preparation of a geometric simulation model, generation of a computational domain, division and independence test of computational grids, generation of boundless layer grids, delimitation of boundary conditions and analysis of fluid simulation results and test measurement errors. The method comprises the following specific steps: step s1, preparing a geometric simulation model; step s1.1, constructing a three-dimensional structure model in the gas relay; according to the method, a simulation-test two-way error tracing method is adopted, nine kinds of error sources such as key parameters (such as a simulation value 1.301 m / s vs actual measurement mean value 1.299 m / s), quantitative model simplification, grid quality and sensor precision) such as action flow speed and action time are compared, the prediction accuracy of a verified simulation model reaches 98.7%, quantifiable theoretical support is provided for relay maloperation resistance design, and the method has the advantages of being high in reliability, high in reliability and the like. And a bidirectional error analysis mechanism is realized to guarantee the simulation reliability.

The invention belongs to the technical field of vehicle part transportation, and particularly relates to a carrying system, method and system, a terminal and a storage medium. The carrying system comprises a carrying tray, a mass sensor is installed in the center of the bottom of the carrying tray, and path detection assemblies are installed on the periphery of the carrying tray; a plurality of transverse baffle assemblies and a plurality of longitudinal baffle assemblies are installed at the top end of the carrying tray. A controller is arranged in the carrying tray, and the controller specifies a carrying path according to information fed back by the mass sensor and the path detection assembly and drives the transverse baffle assembly and the longitudinal baffle assembly to fix the articles. Through the mass sensor and the electric baffle assembly, automatic weighing, size measurement and stable clamping of objects are achieved, and errors and potential safety hazards caused by manual operation are avoided; a path planning strategy is formulated based on a preset algorithm, a smooth obstacle avoidance path can be generated in real time in combination with multi-sensor environment perception, and an intelligent and high-reliability solution is provided for laboratory testing.

The present disclosure ensures reliability of analysis results by accurately pipetting a specimen and a sample in a predetermined pipetting amount. An automatic analysis device includes: a reagent holder configured to hold a reagent container that contains a reagent; a specimen holder configured to hold a specimen container that contains a specimen; a pipetting mechanism configured to pipette the reagent and the specimen into a reaction container; and a mass sensor configured to measure a mass of the reaction container. The mass sensor includes: a fixing portion; a diaphragm at least a part of which is fixed by the fixing portion; a piezoelectric element joined to the diaphragm; and a container placement portion that is supported on the diaphragm and is configured to hold the reaction container into which a liquid to be measured is discharged.

A physiological information acquisition device includes: a reception interface configured to receive waveform data corresponding to a measured waveform of a physiological parameter of a subject from a sensor; a notifier configured to output an alarm indicating that the physiological parameter is not normally acquired; a processor configured to cause the notifier to output the alarm based on the waveform data; and a predictor configured to predict, based on the waveform data, a probability that the physiological parameter is erroneously calculated. The processor is configured to cause the notifier to perform a notification of at least one of a quality of the waveform data, a state of the sensor, and an action shall be taken by a user, based on the probability.

The invention provides a strongly-weathered red layer soft rock dry-wet cycle testing device and method for monitoring quality change, and belongs to the field of rock mechanics. The test method comprises the following steps: putting a sample into a saturator, hanging the saturator in a vacuum pot, pumping the vacuum pot to a vacuum state through a suction filtration pump, pressing deionized water into the vacuum pot through atmospheric pressure, continuously performing suction filtration until the vacuum pot reaches a relatively vacuum state, and keeping the state for 12-24 hours, and meanwhile, when the state is reached, the mass sensor is used for testing, and measured data is transmitted to a computer in real time. The experimental device and method are easy and convenient to operate, economical and efficient, and can effectively solve the problem that a mechanical experiment cannot be carried out to obtain related mechanical parameters due to the fact that a sample is damaged after a strongly-weathered red layer soft rock dry-wet cycle experiment; meanwhile, the problem that the permeation water absorption capacity of the sample cannot be specifically quantified in the long-time water absorption process is solved by monitoring the quality of the sample in real time.

A power quality analysis system is configured to carry out a power quality analysis in an electrical environment. The system comprises one or more power consuming units each electrically connected to a main power supply by a multiconductor (multicore) cable and one or more power quality sensors configured to provide one or more power quality analysis measurements. The one or more power quality sensors are clamp-on power quality sensors configured to provide one or more power quality analysis measurements when the clamp-on power quality sensors are clamped onto the outside of or arranged in the proximity of the multiconductor cable. The clamp-on power quality sensors are configured to provide the one or more power quality analysis measurements without being electrically connected to any of the conductors of the multiconductor cable.

The invention discloses a novel rock-soil body volume measuring device and method.The measuring device comprises a measuring box, an ultrasonic film sprayer, a water pump, a reservoir and a mass collecting system, and a temperature controller is arranged in the measuring box; the mass collecting system comprises a mass sensor arranged at the top of the measuring box and a hanging basket connected with the mass sensor and located in the measuring box, the ultrasonic film spraying device is used for forming a protective layer capable of being heated and sublimated on the surface of a rock-soil body sample arranged on the hanging basket, and the inlet end of the water pump is connected with the reservoir; the inlet end of the water pump is connected with the measuring box. The novel rock-soil body volume measuring device integrates film spraying, buoyancy and baking, can measure the volume of an irregular rock-soil body sample in an economical and environment-friendly manner, can also measure the dry density of the sample and determine the density of a soil body, and is wide in application range; the method is high in measurement precision and low in measurement cost.

The invention discloses an anti-rollover TBM (Tunnel Boring Machine) cutterhead system testing device and a testing method. The testing device comprises a telescopic pressure control oil cylinder, a pressure sensor, a supporting table, an electronic valve, a rock slag funnel, movable rock slag, a temperature detection lens, an electromagnet a, a hob, a cutterhead system, an electromagnet b, a cutterhead support, a tilt angle sensor, a torque sensor, a transmission shaft a, an axial thrust bearing, a coupler, a transmission shaft b, a motor, a guide rail, a sliding block, an iron wire filter screen and a supporting frame. The device comprises a collecting barrel, a supporting plate, a mass sensor, a supporting rod, a threaded hole, a positioning pin and a control switchboard. The testing method can be matched with the testing device to smoothly complete the abrasion testing process of the TBM cutterhead system, and a secondary abrasion mechanism of the TBM cutterhead system is disclosed.

The utility model provides an anti-backflow range hood. The anti-backflow range hood comprises a smoke exhaust fan; the first air quality sensor is arranged on the smoke exhaust fan and is used for detecting whether backward flowing lampblack exists or not; a host body; the second air quality sensor is arranged in the main machine body and is used for detecting whether the concentration of the backward flowing oil smoke affects the air quality or not under the condition that the backward flowing oil smoke is detected by the first air quality sensor; the negative ion assembly and the air curtain assembly are arranged in the main machine body and used for preventing the backward flowing oil smoke from flowing out of the range hood, neutralizing the backward flowing oil smoke and improving the air quality; and the main control system can control the smoke exhaust fan, the negative ion assembly and the air curtain assembly according to results of the first air quality sensor and the second air quality sensor.

This invention proposes an integrated temperature detection air quality sensor and detection system. The air quality sensor includes a MEMS sensor unit and a temperature detection unit. The MEMS sensor unit detects the air quality outside the vehicle and adjusts the heating power consumption. It includes a sensor chip, a MOSFET connected to the sensor chip, and multiple resistors. The sensor chip internally connects a heating circuit and a sensing circuit. The temperature detection unit detects the ambient temperature and includes a thermistor and a resistor and capacitor connected to the thermistor. The air quality detection system includes the aforementioned air quality sensor, an MCU module, a power management module, and a LIN communication module. The MCU module receives the detection signal from the air quality sensor and calculates and controls the heating power consumption of the air quality sensor. The power management module provides a stable operating voltage for the entire detection system. The LIN communication module enables communication between the detection system and other systems in the vehicle. This invention ensures the stability of the sensor module's operating temperature and gas-sensing performance.

The invention relates to a method for operating a work station (1) of a spinning machine, wherein during normal operation a thread (3) is drawn from a spinning unit (4) at a drawing speed, wherein the thread (3) is monitored with regard to at least one thread parameter by means of a mass sensor (5), wherein the thread (3) is wound onto a bobbin (7) by means of a winding device (6) at a winding speed, so that a bobbin (8) is formed, wherein the thread (3) is moved back and forth along a traverse width (CB) during the winding onto the bobbin (7), wherein a stop sequence is initiated when a thread error-related anomaly (F) deviating from a nominal value of the at least one thread parameter is detected by the mass sensor (5). The winding speed is reduced during the stop sequence, wherein a thread loop (S) is formed as a result of the speed difference between the winding speed and the drawing speed thus caused. The invention also relates to a work station (1) of a spinning machine.

A refrigerant quality sensor includes an elongated sensor housing comprising a first end wall and a second end wall and at least one side wall extending between the first end wall and the second end wall. A refrigerant inlet and a refrigerant outlet are disposed in the at least one side wall. A light source is disposed at the first end wall. A photosensor is disposed at the second end wall. The photosensor generates an electrical signal corresponding to a quality of refrigerant within the elongated sensor housing.

The utility model relates to the technical field of control circuits, and discloses a hospital intelligent inspection robot driving control system, which comprises a sensor unit, a motion processing unit, a motor driving unit, a photovoltaic charging unit and a main control unit, the sensor unit comprises a sensor control module, and a temperature and humidity sensor, an ultraviolet sensor, an air quality sensor, a gas sensor, an infrared temperature measurement sensor and a heart rate and blood oxygen sensor which are connected with the sensor control module, and the motor driving unit comprises a buffer circuit, a driving H-bridge circuit and a driving connection circuit. The buffer circuit is connected with the main control unit, the buffer circuit is connected with the driving connection circuit through the driving H-bridge circuit, and the driving connection circuit is connected with a driving motor of the robot; cruising of the robot is guaranteed, and the utilization rate is increased; therefore, the robot can greatly improve the efficiency of medical services, reduce the workload of medical staff, and provide more intelligent nursing experience for patients.

A shield member for a mass sensor includes a body including an outer shield surface and an inner shield surface defining shield sides and a body portion that is positioned between the shield sides. The shield member further includes a support member configured to support at least a portion of the body and structured to enable airflow though the support member. The body of the shield member is configured to shield one or more components of a mass sensor from a magnetic field.