53 results about "Environmental measurement" patented technology

Systems and methods for monitoring and evaluating time-series real-time environment data to create a high-resolution, high-fidelity actual (e.g., nowcast) and predicted (e.g., forecast) representation of an environment of interest. In some aspects, the system comprises instructions to obtain a set of real-time environment measurements stored in a data repository corresponding to a time-series capture of environment data across an observational time period, identify one or more precursory signals within the set of real-time environment measurements, determine at least one anomalous precursory signal from the one or more precursory signals that exceeds the corresponding signal threshold, generate a time-series representation of an actual environment state across the observational time period based on the at least one anomalous precursory signal and the set of real-time environment measurements, and display, at a user interface, the generated time-series representation of the actual environment state.

The invention relates to the technical field of coal mine safety monitoring, in particular to an underground coal mine dust concentration monitoring method and system based on multi-modal data fusion, and the method comprises the steps: synchronously collecting dust concentration time sequence data, dust image data, sound wave signal data and environmental parameters through a multi-modal sensor array deployed in an underground coal mine; carrying out preprocessing and feature extraction on the collected data; predicting the decomposed high-frequency and low-frequency component signals by adopting a long short-term memory neural network and a grey Markov model; when the environment humidity is greater than 80%, carrying out light scattering compensation on the predicted value; inputting various predicted values into an improved D-S evidence theory fusion device, and outputting a fusion dust concentration monitoring value; and when the threshold value is exceeded or the temperature and humidity composite condition is reached, an acousto-optic alarm is triggered and a spraying dust-settling device is started. According to the method, the problems of low precision of a single sensor, multi-source data conflict, high-humidity environment measurement deviation and insufficient time sequence and fusion precision in underground coal mine dust concentration monitoring can be solved.

The application discloses a kind of acoustic-optical fusion's cold spring methane detection method, system, device and storage medium, comprising: obtaining first preprocessed acoustic measurement data and second preprocessed optical measurement data, obtains environmental measurement data;According to the acoustic measurement data, the optical measurement data and the environmental measurement data, form joint data;According to the joint data extraction joint feature, according to the joint feature determines current methane total concentration, according to the joint data determines current methane total leakage flux.The embodiment of the application can improve the accuracy of cold spring methane detection, and can be widely applied in gas detection technical field.

The invention relates to the technical field of environmental monitoring and water ecological safety, in particular to a eukaryotic algae outbreak early warning method and system based on genus-level specific recognition. The method comprises the following steps: collecting a water body sample at a monitoring position according to a preset sampling plan, collecting an environment measurement value, and respectively obtaining environment parameter data, a water sample sampling identifier and a sampling timestamp; extracting nucleic acid from the water sample at the monitoring position based on the water sample sampling identifier, performing targeted amplification, and performing high-throughput sequencing at the same time to obtain eDNA original sequencing data; therefore, by constructing the eukaryotic algae outbreak early warning process based on genus-level specific recognition, the problems that in a traditional method, sampling disturbance is uncontrollable, sequence judgment precision is insufficient, trend recognition is lagged, and an early warning link is not transparent are solved, and the accuracy, stability and traceability of early judgment of algae outbreak are improved.

The invention discloses a gas detection device and an intelligent carrier, and relates to the technical field of gas detection. The device specifically comprises a stretching mechanism, the stretching mechanism comprises a telescopic shell set, a gas measuring piece and a folding rod set, and the telescopic shell set is provided with a plurality of shells which are connected in a sliding mode; the gas measuring piece is connected to a shell on the innermost side of the telescopic shell group; the folding rod set is contained in a shell on the innermost side of the telescopic shell set, a notch is formed in one side of the telescopic shell set, the folding rod set can be unfolded outwards from the notch of the telescopic shell set, and the input end of the gas measuring piece is connected to the tail end of the folding rod set. The telescopic shell group is composed of a plurality of shells connected in a sliding mode, the gas measuring piece is driven to be lifted to different heights by adjusting the height, the folding rod group can be horizontally unfolded, the input end of the gas measuring piece can be driven to move to different corners of a coal mine well through combined adjustment of the telescopic shell group and the folding rod group, and a stretching mechanism does not need to be moved to the position below a to-be-measured corner. The adaptability of environment measurement is greatly improved, and the measurement range is effectively expanded.

A multipath channel modeling method for mobile underwater acoustic communication based on sound field calculation is presented, involving underwater sound waves. Channel modeling is performed by inputting environmental parameters including ocean sound velocity profiles and seabed topography, as well as modeling parameters such as the initial coordinates and trajectory equations of the signal transmitter and receiver. Ocean sound field calculations are performed using kernels such as ray tracing models, normal mode models, or wavenumber integral models, calculating the sound field at each trajectory sampling time based on the modeling parameters. The frequency domain sound field results are converted into a channel impulse response using inverse Fourier transform, and the time-varying impulse response of the overall multipath channel is recovered using local spline interpolation. The transmitted signal is convolved with the time-varying impulse response of the multipath channel, and a common propagation delay is added to obtain the simulation results of the received signal. Through accurate sound field calculation and multipath channel modeling, signal transmission under specific marine environments can be simulated without actual marine environmental measurements, reducing marine field testing costs and improving R&D efficiency.

The present application relates to the field of automotive aerodynamic test technology, and discloses a kind of non-steady flow environment aerodynamic test method based on front vehicle wake, comprising: S1, installs environment measuring device on test vehicle, carries out steady flow test calibration to test vehicle, obtains first environmental physical quantity based on environment measuring device, and establishes the corresponding relationship between first environmental physical quantity and steady flow environmental physical quantity;S2, test vehicle is in non-steady flow environment;S3, in the environment of non-steady flow, second environmental physical quantity is obtained by environment measuring device, and based on the corresponding relationship and second environmental physical quantity, the test environment physical quantity of non-steady flow environment where test vehicle is located is determined;S4, based on test environment physical quantity, carries out aerodynamic test under specific non-steady flow environment.The problem that wind tunnel cannot carry out non-steady flow simulation test and cannot provide important reference for automotive non-steady flow aerodynamic research is solved.

This underwater intelligent cable system, equipped with morphological perception and remotely operated capabilities, belongs to the fields of underwater robotics, marine inspection, and engineering measurement and control. In this system, one end of the intelligent cable is fixed to a mother ship, while the other end connects to an ROV (Remotely Operated Vehicle) for flexible deployment via towing. A three-core fiber optic grating sensor is integrated within the cable to acquire strain distribution along its length. Multiple sealed measurement boxes are deployed along the cable to collect environmental data and transmit it back to the mother ship. The mother ship is equipped with an FBG demodulator and a data processing and storage system to calculate curvature or deflection based on strain and reconstruct the cable's three-dimensional morphology. To suppress long-distance integral drift, some measurement boxes integrate IMU (Integrated Mutor Unit) outputs attitude data and calculates tangent vectors, which are then fused with FBG continuous curvature constraints for optimized filtering. Environmental measurements are mapped to corresponding spatial coordinates on the morphological curve according to the calibrated positions of each node along the cable length, forming a spatial registration dataset that is visualized, stored, and queried, improving the efficiency and accuracy of large-scale underwater detection.

The invention discloses a power plant CT and circuit breaker cooperative dynamic constant value correction method and system, and belongs to the technical field of power system relay protection, and the method comprises the following steps: collecting CT operation parameters, circuit breaker operation state parameters, system operation parameters and environment measurement parameters of a power plant; calculating based on the CT operation parameters and the environment measurement parameters to obtain CT dynamic saturation limiting current, and evaluating based on the circuit breaker operation state parameters and the environment measurement parameters to obtain circuit breaker health state factors; according to the CT dynamic saturation limit current and the system operation parameters, current protection constant value correction is carried out, a corrected quick-break current constant value and a constant time-lag current constant value are obtained, CTI increment is obtained through calculation according to the circuit breaker health state factor, and finally, after dynamic simulation verification is carried out, a protection constant value collaborative correction result is determined and obtained. The method can solve the problem that the protection setting value in the existing power system cannot be dynamically adjusted.

This invention relates to a key parameter testing system and method for turbojet engines, belonging to the field of unmanned aerial vehicle (UAV) technology. It enables the measurement of key parameters and identification of dynamic characteristics of turbojet engines, providing prerequisite input conditions for the design and simulation of flight control laws and effectively reducing experimental risks. The system includes a mounting bracket, engine working components, a main control module, a thrust sensor, and an environmental measurement sensor. The mounting bracket is used to fix the turbojet engine under test. The engine working components are connected to the turbojet engine under test to ensure its normal operation. The main control module is connected to the turbojet engine under test and the environmental measurement sensor to control the actions of the turbojet engine under test according to test requirements and environmental data monitored by the environmental measurement sensor. The thrust sensor is located between the engine mounting bracket and the turbojet engine under test and is connected to the main control module to measure the thrust of the turbojet engine under test.

According to the low-altitude environment assessment method, device and equipment based on multi-source fusion and the storage medium, environment measurement data is determined, a sky image is obtained through a fisheye lens, and sol vertical distribution information and a low-altitude wind field are obtained through a laser wind finding radar; the environment measurement data comprises at least one of temperature and humidity data and rainfall intensity, performing dynamic fusion analysis according to the sky image and the sol vertical distribution information, determining a low-altitude cloud condition and an intensity grade corresponding to the low-altitude cloud condition, determining an intensity grade corresponding to the low-altitude wind field according to the low-altitude wind field, and determining the intensity grade corresponding to the low-altitude wind field according to the environment measurement data. The intensity grade corresponding to the environment measurement data is determined, the intensity grades are analyzed based on the multi-source data, the low-altitude environment evaluation result is comprehensively determined according to the intensity grade corresponding to the low-altitude cloud condition, the intensity grade corresponding to the low-altitude wind field and the intensity grade corresponding to the environment measurement data, and the accuracy is improved.

The object of the present invention is to provide an environmental measurement system and an environmental measurement method that can reduce the risk of failure of electronic equipment used for environmental measurement in a radiation environment. [Solution] The present invention relates to an environmental measurement system for measuring environmental information in a radiation environment, comprising: a detection unit equipped with a radiation emitter for detecting radiation; a first transport mechanism for installing the detection unit in a predetermined radiation environment; a second transport mechanism for retrieving the detection unit; and an analysis unit for analyzing environmental information where the detection unit is installed from measurement information measured by the retrieved detection unit. The detection unit is a measuring instrument that does not require power supply, and the second transport mechanism has a positioning function that identifies the location of the detection unit based on the light emitted from the radiation emitter.

To provide a technique for obtaining an environment when a compound located in a specific range among compounds is synthesized in a flow chemistry system.SOLUTION: An environmental actual measurement value acquiring unit 63a that acquires an actual measurement value of the chemical reaction condition measured by the measuring device 222324 in the chemical reactor 2 as an environmental actual measurement value, an environmental actual measurement value storage unit 63b that stores the acquired environmental actual measurement value and information on a time at which the environmental actual measurement value is measured in association with each other in a storage medium, a passage time information calculating unit 64b that calculates information on a time at which a specific synthetic compound which is a synthetic compound located in a specific range among the synthetic compounds passes through a measurement point by the measuring device as passage time information based on at least the sending condition, and an environmental actual measurement value specifying unit 64c that specifies an environmental actual measurement value when the specific synthetic compound or raw materials thereof pass through the measurement point by the measuring device based on the passage time information.SELECTED DRAWING: Figure 2

Disclosed are various embodiments for sensing and integrating data of environmental conditions in animal research. A collection device is removably mounted to a cage. The collection device includes a sensor array that captures audio content or environmental measurements. A micro-environment monitor of the collection device can process the audio content to determine that audible or ultrasonic vocalizations of an animal are present. The micro-environment monitor sends data based at least in part on the audio content or environmental measurements to a computing environment.

An environmental measuring device includes a sound wave transceiver unit, a setter, and an estimator. The sound wave transceiver unit transmits and receives detection sound waves. The setter divides the target space into sections, and sets a first virtual mesh. The estimator estimates temperature or airflow distribution in the target space, based on a time of flight of the detection sound waves passing through a section of the first virtual mesh. The estimator estimates temperature or airflow in each of the sections of the first virtual mesh, using a predetermined prediction method and a constraint condition. The constraint condition includes at least one of a value representing temperature or airflow in a second virtual mesh having fewer sections than the first, an amount of air flowing in at least one section of the first virtual mesh, and at least one measured temperature value in the first virtual mesh.

The invention relates to the technical field of mine automatic monitoring, in particular to an algorithm for measuring a material level in an underground mine severe environment, which comprises the following steps of: 1, acquiring a material level signal in real time through a radar level gauge, and simultaneously acquiring a feeding rate (InflowRate) and a discharging rate (OutflowRate); 2, the material level value is dynamically corrected, and if the radar is effective (RadarValid = True), the actual material level (ActualLevel) directly adopts the radar material level value (RadarLevel); and if the radar fails (RadarValid = False), the actual material level is calculated through an integral formula: ActualLevel = ActualLevel + (InflowRate-OutflowRate) * delta t, and the delta t is a calculation period. According to the algorithm and system for measuring the material level in the severe environment of the underground mine, high precision and high reliability of material level measurement are achieved by dynamically fusing radar real-time correction and integral calculation and combining failure self-judgment and high-pressure aerial fog cleaning.

The utility model discloses equipment for detecting the compressive property of a PET (Polyethylene Terephthalate) bottle blank. The equipment comprises a detection box, a controller mounted on the detection box, a camera mounted in the detection box, a conveying and fixing mechanism arranged between the detection box and a partition plate, an extruding mechanism arranged between the detection box and the partition plate, and an environment measuring mechanism arranged on the detection box. The humidity condition in the detection box can be detected through the humidity sensor, detection data are synchronized to the display screen, when the humidity is too high, the heating pipe can heat air in the detection box, so that the humidity in the detection box is reduced, the air in the detection box can be extracted through the air extractor, and the detection efficiency is improved. Air is discharged through the first air pipe and the second air pipe, so that air pressure balance in the detection box is maintained, when the temperature in the detection box reaches a preset threshold value of the temperature sensor, heat of the heating pipe is controlled to be output evenly, an environment suitable for PET bottle blank detection is built, and it is avoided that humidity influences detection data.

A computer system manages drilling operations in an ocean environment. The system differentiates between nondrilling and drilling states in a closed-loop fluid system on a drilling vessel. In the non-drilling state, where the drillstring is held on the vessel during motion, a “piston effect” can alter downhole pressure. The system adjusts the surface backpressure automatically to counteract this pressure change and maintains the pressure within acceptable limits. The adjustment process incorporates a motion model that predicts the vessel's movement based on environmental factors and the vessel's characteristics. This model uses environmental measurements to calculate the necessary backpressure adjustments, ensuring stable downhole conditions despite the vessel's motion.

A computer system manages drilling operations in an ocean environment. The system differentiates between nondrilling and drilling states in a closed-loop fluid system on a drilling vessel. In the non-drilling state, where the drillstring is held on the vessel during motion, a "piston effect" can alter downhole pressure. The system adjusts the surface backpressure automatically to counteract this pressure change and maintains the pressure within acceptable limits. The adjustment process incorporates a motion model that predicts the vessel's movement based on environmental factors and the vessel's characteristics. This model uses environmental measurements to calculate the necessary backpressure adjustments, ensuring stable downhole conditions despite the vessel's motion.

The present application relates to single-beam echo sounder shallow water measurement technology field, especially in kind of based on the single-beam echo sounder shallow water measurement method and system of tilt installation, the method comprises the following steps: obtaining single-beam echo sounder operation data, identifying measurement route and collecting environmental change, the simulated sounding process is combined to generate sounding simulation data;According to the environmental change and the disturbance response data of sounding angle, the environmental measurement coupling interference intensity is calculated, the dynamic abnormal condition of sound wave propagation path is identified;Detect the frequency drift phenomenon of sound wave in the shallow water area, and the error propagation prediction is carried out accordingly, the error propagation growth data is obtained, the deviation degree of the tilt sounder is evaluated based on the error propagation condition, and the deviation degree data is generated;The original sounding data is corrected to obtain the corrected sounding value;The present application realizes single-beam echo sounder shallow water measurement more accurately and efficiently by single-beam echo sounder shallow water measurement correction.

With the growth of the construction industry and a focus on improving the quality of life in architecture, there is an increasing need for a system to measure the optimal environmental quality of spaces for all users. This is particularly important in today's busy urban life, where factors such as traffic and noise can impact people's well-being. While existing environmental measurement systems can assess many indicators separately, there is currently no comprehensive solution for measuring indicators such as light color, the golden ratio, spatial geometry, and environmental color in architectural spaces. Therefore, this invention is a system to measure all these components for enhancing the comfort and mental well-being of occupants. It measures the crucial indicators such as air quality, tempreture, humidity, sounds, lights, and other features of the place, takes pictures of them and processes them, and also makes suggestions.

Proposed is a self-optimizing, adaptive processing system and method thereof for grinding and / or crushing cereals and seeds. Measurement data for all relevant physical variables determining the milling process of mills at one or multiple geographical locations are measured and acquired in real time, compared with reference values, and used for autonomous operation adaption, system health check and automated repair of hardware by means of machine learning models. Machine learning output based on system and environmental measurements generates signals to steer steerable devices for maintaining product quality and to monitor and forecast abnormal system behavior in real-time to ensure uninterrupted production plant operation.

This invention provides a method, storage medium, and system for measuring and monitoring the soil environment of substation grounding grids in permafrost areas, relating to the field of substation grounding grid safety. The method includes: deploying local environmental monitoring units to collect soil environmental data in real time; acquiring a soil environmental parameter sample dataset; constructing an SSA-SVM model and iteratively training it using the soil environmental parameter sample dataset; training a BP neural network based on the prediction results of the SSA-SVM model to construct a combined prediction model for grounding grid corrosion rate; processing the real-time collected soil environmental data using the combined prediction model to obtain the predicted real-time corrosion rate; and generating an early warning signal based on the predicted real-time corrosion rate. The storage medium and system are used to implement the method. The beneficial effects of this invention are: obtaining the real-time corrosion rate based on real-time environmental parameters, achieving high prediction accuracy, and providing reliable measurement, monitoring, and early warning of the soil environment of substation grounding grids, especially in permafrost areas.

The invention relates to a method, a system and a device for dynamically generating a trusted white list and electronic equipment. The method comprises the following steps: performing credible authentication on a credible terminal according to terminal environment information; under the condition that the credible authentication is passed, calling the security big model to perform context semantic analysis on a first credible portrait of the credible terminal and a security management rule so as to generate a first dynamic white list; continuously acquiring real-time operation data and real-time environment measurement data, and calling the security big model to perform context semantic analysis on the real-time operation data, the real-time environment measurement data, the first credible portrait and the first dynamic white list so as to update the first dynamic white list to obtain a second dynamic white list; and the second dynamic white list is encrypted and issued to the trusted terminal, so that a protection component of the trusted terminal carries out trusted verification and access control on a computing component of the protection component according to the second dynamic white list. The technical problem that a traditional static white list is easy to tamper and lacks semantic judgment capability is solved.

An air purification device applicable to a fire site according to the present invention comprises: a main body having a space formed therein; an inlet unit provided in the main body and provided to allow the inner space of the main body to communicate with the outside so that polluted air on the outside flows into the main body; a purification unit provided inside the main body to purify the polluted air that flows into the main body through the inlet unit; a discharge unit provided on an upper portion of the main body and provided to allow the inner space of the main body to communicate with the outside so that the air purified by the purification unit is discharged to the outside; an environment measurement unit which is provided in the main body, senses the pollution level of the air outside the main body, and images an external situation; a moving unit provided in a lower portion of the main body to allow the main body to move freely; and a control unit which controls the driving of the moving unit and has a communication module for receiving measurement information from the environment measurement unit and transmitting the measurement information to a manager terminal.

The present invention relates to a water collection device used for various environmental measurements such as water quality testing, water supply and sewage diagnosis, and water resource field surveys. A U-shaped plate body, comprising a main plate (21) and a side plate (22), and a circumferential plate (30) are joined together. An adhesive layer (41) is formed on the inner surface of the circumferential plate (30) and on a reciprocating plate (40) mounted on the circumferential plate (30) to which the surface of a soft water collection bottle (10) adheres. An extension rod (50) is joined to the circumferential plate (30) or the side plate (22), so that a soft water collection bottle (10) is inserted into the circumferential plate (30) and loaded. Through the present invention, the convenience of water collection work using a soft water collection bottle (10) can be dramatically improved, and direct water collection is possible by directly immersing the soft water collection bottle (10) in water, thereby preventing secondary contamination or mixing of impurities into the sample and improving the reliability of the sample.

The application provides a regional carbon emission monitoring method and device, electronic equipment, computer program and storage medium, wherein the method comprises: obtaining regional environmental measurement data; constructing an edge surface fitting model according to the geographic position data to obtain a measurement edge surface; calculating the gas flow of the measurement edge surface according to the meteorological data and the measurement edge surface, wherein the gas flow comprises gas inflow and gas outflow; and calculating the carbon emission of the current measurement region according to the gas flow of the measurement edge surface. The number of sampling points can be freely controlled, which is suitable for various types and conditions of emission sources. When sampling and monitoring the whole region, multiple predictions can be made to improve the accuracy and robustness of the results. Meanwhile, the edge sampling method can quickly obtain the carbon emission prediction value, reduce the endurance requirement of the unmanned aerial vehicle, and improve the monitoring efficiency.

The invention discloses an intelligent prediction method and device for cloud and rain meteorological parameters. The method comprises the following steps: acquiring a historical measurement data set of a meteorological environment; based on the historical measurement data set, constructing a cloud and rain parameter fusion prediction model; acquiring a meteorological measurement data set at a to-be-predicted moment; processing the meteorological measurement data set at the to-be-predicted moment by using the cloud and rain parameter fusion prediction model to obtain a cloud and rain meteorological parameter prediction value set; the cloud and rain meteorological parameter predicted value set comprises a precipitation predicted value, a snowfall predicted value and a total cloud amount predicted value.