192 results about "Environmental sensing" patented technology

The invention relates to the technical field of carbon emission monitoring and environment perception, and discloses a user-side carbon emission real-time monitoring and tracing system, which comprises a multi-source data integration module, which is used for acquiring microenvironment parameters related to carbon emission in real time; the microenvironment feature analysis module is used for analyzing the feature parameters of the traffic road section through a microenvironment perception algorithm and establishing a microenvironment feature library; the environment relation modeling module is used for constructing a vehicle performance and microenvironment relation model and calculating an environment adjustment coefficient; the dynamic carbon emission calculation module is used for generating a carbon emission estimated value; the abnormal recognition and early warning module is used for recognizing an abnormal emission mode under a specific microenvironment combination and constructing an early warning mechanism; the carbon emission map building module is used for building an urban microenvironment carbon emission influence map; the carbon footprint analysis and report module generates a refined carbon footprint report through a microenvironment factor contribution degree quantitative decomposition algorithm; according to the method, through microenvironment influence decomposition and visual display, a carbon emission result has good interpretability.

The invention provides a water chlorophyll a concentration inversion method and system based on multi-modal data and a lightweight model, and relates to the technical field of water environment remote sensing evaluation. The method comprises the following steps: firstly, acquiring a Gaofeng No.5 satellite remote sensing image, a sentinel No.3 satellite image and ground actual measurement data, and completing image preprocessing and water body pixel extraction; constructing a hyperspectral index and an aquatic vegetation index, and fusing the hyperspectral index and the aquatic vegetation index with the water body temperature, the pH environmental factors and the spectral reflectivity to form a multi-dimensional feature sample set; a core feature subset is obtained through random forest and XGBoost coupling feature selection, and a lightweight student model is trained based on knowledge distillation; and constructing a to-be-predicted feature sample for the to-be-predicted time phase image and the environment factor, inputting the to-be-predicted feature sample into the lightweight student model to obtain a chlorophyll a concentration predicted value, and generating a spatial distribution map and a quality control map layer. According to the invention, high-precision, low-redundancy and efficient deployment chlorophyll a concentration inversion is realized.

The invention discloses a satellite remote sensing atmospheric pollution gas concentration inversion method and system based on DOAS, and belongs to the technical field of atmospheric environment remote sensing monitoring. The method comprises the following steps: acquiring solar back scattering spectrum data observed by a satellite load and preprocessing the solar back scattering spectrum data; performing spectrum correction by using a high-precision instrument response function; in a selected fitting window, constructing a fitting model comprising a target gas differential absorption cross section, a Ring effect, Mie scattering and multiple scattering contributions; carrying out spectrum fitting by adopting a nonlinear least square algorithm, and carrying out inversion to obtain a differential batter column concentration (DSCD) of the target gas; in conjunction with an Atmospheric Mass Factor (AMF), the DSCD is converted to a Vertical Column Concentration (VCD). The system comprises a data acquisition and preprocessing module, a spectrum fine correction module, a DOAS spectrum fitting module, a dynamic AMF calculation module and a column concentration inversion and output module, and optionally comprises a data assimilation and traceability analysis module. According to the satellite remote sensing atmospheric pollution gas concentration inversion method and system based on the DOAS, the parameterized multiple scattering correction items are introduced, a dynamic AMF calculation scheme is developed, and the inversion precision and reliability under the complex atmospheric condition are remarkably improved.

The invention discloses a Chla monitoring method based on visible-near infrared spectrum and machine learning, which is a modeling method for performing chlorophyll a concentration parameter inversion by using visible-near infrared hyperspectral data, and combines primary screening of spectral characteristic wave bands, training sample expansion based on GAN, spectral characteristic wave band fine screening based on CARS and a regression modeling technology. The problems of high dimension of hyperspectral data and insufficient samples are solved, the overall Chl-a modeling precision is improved, and the method is suitable for water eutrophication monitoring, marine ecological assessment and environment remote sensing application.

The invention provides a water quality parameter inversion method and system based on spectrum correction and electronic equipment, and relates to the technical field of water environment remote sensing. According to the method, the water quality parameter and the water body reflectivity value of the surface feature spectrometer are measured synchronously when the remote sensing image passes through the scene, spectrum correction is carried out on the remote sensing image by using actually measured data as a reference, and the accuracy of water quality parameter inversion is improved. Firstly, water quality parameter and water body reflectivity value measurement of a surface feature spectrometer are synchronously carried out innovatively when a remote sensing image passes through a scene, so that the consistency of measured data and the remote sensing image in time and space is ensured, and a reliable basis is provided for subsequent spectrum correction and water quality parameter inversion modeling. Secondly, a spectrum correction model is established based on the synchronously acquired measured data, the spectrum of the remote sensing image can be adjusted according to the measured data, and the reflectivity deviation caused by atmospheric correction errors and sensor calibration errors is reduced, so that the accuracy of the spectrum data is improved.

A digital-physical twin system and method for environmental process modeling and forecasting are disclosed. The system includes a digital twin server configured to receive environmental data from a real-world environment, including hyperspectral and spectroscopic imaging, simulate environmental process transitions using a predictive model based on the environmental data, and generate parameters for a physical experiment designed to validate or refine the predictive model. A physical twin device, comprising a scaled and instrumented representation of the real-world environment, is configured to execute the physical experiment under controlled conditions. Experimental data is returned to the digital twin to iteratively refine the predictive model in a closed-loop learning cycle using self-supervised and reinforcement learning. The system supports spatially-spectrally selective experimentation, including fluorescence spectroscopy, to enhance environmental sensing. This architecture enables scalable, sample-efficient modeling of processes such as post-wildfire hydrology, vegetation regrowth, and soil change.

The invention discloses a pollution source-based comprehensive risk assessment and monitoring system for plateau aviation occupational health, and relates to the technical field of risk assessment. The system comprises a pollution source identification module, an individual exposure evaluation module, a physiological state analysis module, a comprehensive evaluation prediction module and a health intervention suggestion module. The technical key points are as follows: according to the scheme, multi-parameter fusion monitoring points are deployed, a three-dimensional pollution map is constructed, and a plateau height and meteorological correction function is introduced, so that the overall scheme realizes spatial distribution modeling and comprehensive strength quantification of pollution sources in complex environments such as plateau airports; the problem of inaccurate pollution identification caused by traditional static data and experience judgment is solved, a high-precision and dynamically-updated pollution data basis is provided for subsequent exposure evaluation, the real-time sensing ability of the system to environmental risks is improved, and the accuracy and intelligence of the system in an environmental sensing layer are embodied.

The invention relates to the technical field of water ecological environment remote sensing monitoring, in particular to a river total nitrogen concentration remote sensing estimation method based on multi-source data fusion, and the method comprises the following steps: S1, obtaining and processing total nitrogen measured data, and unifying time and a coordinate reference system; s2, processing the Landsat 8 / 9 image, and extracting water body reflectivity and remote sensing indexes; s3, ERA5-Land meteorological data are acquired, and derivation indexes are calculated; s4, DEM elevation data are extracted; s5, fusing the multi-source data to generate a table type data set; s6, screening sensitive indexes based on SHAP and correlation; s7, constructing and evaluating an inversion model; s8, extracting an MNDWI water body mask; s9, generating a feature stack and inverting and outputting a total nitrogen concentration diagram; according to the method, through fusion of multi-source data, construction of a high-precision inversion model and a cloud platform automatic processing flow, high-temporal-spatial-resolution, stable and reproducible remote sensing estimation of the total nitrogen concentration of the river is realized, and the monitoring efficiency and the application value are effectively improved.

The invention belongs to the field of wetland environment monitoring, relates to a data analysis technology, is used for solving the problem that the data acquisition accuracy of a sensor probe cannot be effectively verified in the prior art, and particularly relates to a wetland environment remote sensing monitoring system based on unmanned aerial vehicle detection. Comprising a water quality monitoring module, a monitoring verification module, an environment evaluation module and a troubleshooting analysis module which are connected in sequence, the water quality monitoring module is used for performing water quality monitoring analysis on the wetland environment; a to-be-monitored wetland area is divided into a plurality of monitoring areas, and the water quality monitoring module comprises an unmanned aerial vehicle detection unit and a probe detection unit; the method effectively solves the problems that in the prior art, sensor data is single and prone to corrosion interference, the detection coefficient is generated through multi-parameter extreme value extraction and weighted calculation, the reliability and anti-interference capacity of water quality data are remarkably improved, the effectiveness of monitoring result accuracy verification is ensured, and the method is suitable for popularization and application. And meanwhile, a multi-dimensional data association basis is established for pollution characteristic investigation.

In a device and a method for setting a speed for at least one parking function of a vehicle, at least one environmental sensing unit is used to acquire at least some environmental information relating to the vehicle's surroundings over at least a section of a driving lane intended for parking the vehicle, and corresponding environmental data is generated. This environmental data is then processed. Based on this environmental data, a suitable parking and / or exit speed of the vehicle is set along the driving lane when the parking function is activated.

This invention relates to the field of UAV communication technology, and particularly to a method for UAV environmental monitoring and data processing supported by edge computing. The method includes: acquiring time-series data streams collected by multi-source environmental sensing devices, compressing and processing them based on a linear projection compression model to obtain compressed feature vectors; calculating communication costs based on current heterogeneous network conditions and energy constraints using a preset communication cost function; and executing different data processing strategies based on different communication costs. This invention achieves efficient edge compression in embedded resource-constrained scenarios; realizes resource-aware data upload control through the communication cost function; and reconstructs the Kalman filter matrix structure based on a Bayesian state fusion method using compressed feature space, effectively supporting local state estimation and uncertainty control, and triggering immediate warnings when environmental indicators exceed limits, effectively enhancing the system's risk perception and response capabilities.

This invention relates to the field of lighting technology, specifically to a smart floor lamp for smart homes. It includes a floor socket assembly for embedding in the ground, a lamp body assembly mounted on top of the floor socket assembly, housing a light source module and a main control module, a transmission structure including a hinge base and a rotating shaft, with the lamp body assembly hinged to the hinge base and one end of the rotating shaft fixedly connected to the hinge base and the other end movably connected to the floor socket assembly, an environmental sensing unit including a tracking sensor, an ambient light sensor, and a humidity sensor, and an optical self-maintenance unit including a transparent protective cover and a cleaning structure. This invention achieves dynamic beam tracking through dual-degree-of-freedom intelligent adjustment. Combined with the transparent protective cover and cleaning structure, it ensures clear visibility of the sensors in the environmental sensing unit under rainy and humid conditions, achieving stable and accurate smart outdoor dynamic lighting.

Multifunctional exterior mirror and camera system (main claim) Exterior mirror and camera system for motor vehicles for integration into the A-pillar, characterized in that - the system is designed as a vertically stretched, modularly constructed mirror module with at least three functional segments, - each segment can be folded and height-adjusted separately, either electrically or hydraulically, - at least one segment is equipped with an integrated camera for environmental sensing, - the entire module is flush with the A-pillar and no parts protrude beyond the bodywork, - and the system is designed with plug and screw connections so that individual modules or the entire system can be easily replaced for maintenance or in case of damage.

This invention discloses a high-temperature detection, early warning, and fire prevention and extinguishing system for coal mine goaf areas, relating to the field of coal mine safety monitoring technology. It includes an environmental sensing module, a data processing module, a fire prevention module, and a fire extinguishing module. The environmental sensing module is used to detect and collect environmental data within the coal mine in real time. The data processing module is used to observe CO distribution, analyze the CO concentration distribution patterns in different areas, and, combined with temperature, locate the high-temperature zone of spontaneous combustion point in the goaf area, determining the early warning level. When the early warning level is primary, the fire prevention module is activated; when the early warning level is not primary, fire extinguishing slurry or inert gas is injected into the high-temperature area. This invention can improve the fire prevention and control level in coal mine goaf areas and ensure coal mine production safety.

The present invention relates to a forklift truck (1) comprising a steering system (6) for steering the forklift truck (1), a drive unit (7) for moving the forklift truck (1), at least one environmental sensing sensor (9), and a control unit (8) which is connected to the at least one environmental sensing sensor (9), the steering system (6), and the drive unit (7) in terms of control technology, wherein the environmental sensing sensor (9) is configured to monitor the environment (11) of the forklift truck (1) for obstacles (12), wherein the control unit (8) is configured to activate the environmental sensing sensor (9) to detect at least one obstacle (12) in a monitoring area of ​​the environment (11) of the forklift truck (1), and wherein the control unit (8) is configured to predict a travel corridor (14, 16) of the moving forklift truck (1) within the monitoring area depending on a steering angle of the forklift truck (1) set by the steering system (6). determine,wherein the predicted travel corridor (14, 16) has a travel corridor width (15, 15-1), and wherein the control (8) is configured to change the travel corridor width (15, 15-1) of the predicted travel corridor (14, 16) depending on a travel speed of the industrial truck (1).

The laser radar comprises a protective shell and a detection probe, a protective cylinder is installed on the surface of one side of the protective shell, an annular groove is formed in the surface of the protective cylinder, a constraint guide rail is installed on the surface of the side, close to the detection probe, of the annular groove, and a change unit is installed in the annular groove. The changing unit comprises a gear ring piece, a driving motor is installed on the surface of the inner wall of the protective barrel, the output end of the driving motor is connected with a gear piece, a scraper piece is arranged on the surface of one side of the gear ring piece, and a rotating motor and a micro air pump are installed on the surface of one side of the gear ring piece. The cleaning of the radar window is realized in a limited space, the working reliability and the detection continuity of the laser radar in a high-dust environment are improved, and a stable environmental perception guarantee is provided for the automatic operation of the roadheader.

The invention relates to a sensor arrangement (1) for a vehicle (2), comprising a housing consisting of a movable (1b) and a stationary housing part (1a), wherein a plurality of sensors (S1-Sn) are located in the housing. k ) is arranged for environmental perception, wherein at least one sensor (S1) has a detection area (E) directed in the direction of travel of the vehicle, wherein another sensor (S3) has a detection area (E) directed against the direction of travel of the vehicle and another sensor (S2) has a detection area (E) for monitoring a lateral area of ​​the vehicle, wherein at least a part of the plurality of sensors (S1, S2, S3, Sn1) is arranged in the movable housing part (1b), wherein the part of the plurality of sensors in the movable housing part comprises at least one sensor (S1) with a detection area (E) directed in the direction of travel of the vehicle, one (S3) directed against the direction of travel and one (S2) directed laterally to the side of the vehicle, and wherein the movable housing part (1b) has means (4) which are configured to move the movable housing part (1b) in a horizontal direction (Hr) such that the spatial extent of the sensor arrangement (1) can be changed.

This utility model relates to the field of compaction press technology and discloses a compaction press with a reversing alarm. The compaction press body includes an independent power supply module, which is electrically connected to an audible and visual alarm module, a reverse gear trigger linkage module, an environmental sensing module, an obstacle detection module, and a path indication module. The output signal of the reverse gear trigger linkage module is connected to the input signal of the audible and visual alarm module, and the output signal of the reverse gear trigger linkage module is connected to the input signal of the environmental sensing module. In this utility model, by installing a reversing alarm, an audible and visual alarm signal can be emitted in a timely manner when reversing, alerting surrounding personnel and significantly reducing the probability of collisions or run-over accidents. Furthermore, the alarm uses an independent power supply and does not need to be connected to the internal circuitry of the compaction press, avoiding modifications to existing circuitry and improving the reliability and service life of the equipment.

The application discloses a Wuchuohong positioning tracking and moisture-proof integrated storage system based on the Internet of Things, and relates to the field of mechanized agriculture and horticultural tool manufacturing.The system comprises: a warehouse binding and mirror image initial modeling module that completes Wuchuohong RFID label, IMU and UWB identification card binding, generates a digital twin mirror image and checks the position matching degree; a real-time positioning and sensing module that positions the goods pile and collects environmental data through sensors; a digital twin microclimate prediction module that combines mirror image and sensing data, and determines the risk level by using a 3D fluid mechanics-mass transfer coupling model; a directional collaborative regulation module that dispatches fresh air machines and other equipment to perform moisture-proof regulation and evaluate energy efficiency; and a data traceability archiving module that generates energy consumption and risk reports; the application realizes linkage between physical goods piles and digital models by combining warehouse binding and digital twin mirror image initialization, combining real-time positioning and multi-dimensional environmental sensing, optimizing strategies combined with energy efficiency evaluation, and realizing full-process data traceability through a blockchain, thereby guaranteeing the storage quality of Wuchuohong.

The invention discloses a daily insect-preventing and sun-blocking outdoor life hat, and belongs to the technical field of outdoor protective equipment, the daily insect-preventing and sun-blocking outdoor life hat comprises a sunhat body, a sun-blocking curtain and an insect-preventing net curtain, an insect-repelling system, an environment sensing system and a cooperative control system are arranged in the sunhat body, and the insect-repelling system comprises an ultrasonic insect-repelling module and a medicament insect-repelling module; the environment sensing system is used for sensing environment parameters of temperature, humidity and illumination intensity, and the cooperative control system starts and stops the ultrasonic insect repelling module and the medicament insect repelling module according to the environment parameters; and an insect-proof net curtain and a sun-proof curtain are arranged on the edge of the brim of the sunhat body from inside to outside. The device has the functions of sun shading, insect repelling and the like, the insect repelling modes are diversified, the insect repelling modes and environmental parameters are organically combined, the device has the decision-making ability similar to people, the insect repelling modes and the insect repelling strength can be automatically adjusted through changes of the environmental parameters such as illumination, temperature and humidity, the limitation of a single mode is overcome, and the insect repelling effect is remarkably improved.

The invention relates to the technical field of automobile intelligent cabin environment control, and discloses an intelligent cabin environment pollution prevention and control system, which comprises a multi-dimensional environment sensing module, an intelligent cabin environment pollution prevention and control module and an intelligent cabin environment pollution prevention and control module, the state vector construction unit is used for combining the six environment parameters collected by the multi-dimensional environment sensing module into a six-dimensional environment state vector; the execution instruction generation module is used for mapping the six-dimensional environment state vector into a five-dimensional execution action vector according to a preset mapping function; and the execution mechanism control unit is used for adjusting a corresponding execution mechanism according to the five-dimensional execution action vector, and dynamically maintaining comprehensive optimization of air quality, energy consumption and passenger comfort in the cabin. According to the intelligent cabin environmental pollution prevention and control system, the problems of large sensing blind area, rough control strategy, low energy efficiency and poor comfort in the prior art are solved, and accurate and efficient mapping from environmental sensing to execution control is realized.

This application discloses an environment sensing method, device, medium, and program product based on FTTR, belonging to the field of communication technology. The method includes: acquiring a multi-link channel state information (CSI) tensor, which includes CSI data from at least two FTTR sources corresponding to the gateways within a target area during a target time window; performing singular value decomposition on the multi-link CSI tensor to determine the noise subspace basis of the link dimensions; separating crystal oscillator noise from the multi-link CSI tensor based on the noise subspace basis of the link dimensions to obtain a motion tensor of the sensed object; and determining the environmental state information of the target area based on the motion tensor of the sensed object. This approach reduces the dependence of the sensing process on the motion of the sensed object, enabling environmental structure sensing in static scenes, thereby effectively improving the stability and robustness of environmental sensing.

A control device may be configured to control an electrical load (e.g., an exhaust fan) for controlling an environmental characteristic (e.g., a humidity level) in a space. The control device an actuator received in an opening in a front surface of a bezel, which may comprise first and second side portions on each side of the actuator. The control device may comprise an environmental sensing circuit for sensing the environmental characteristic in the space, and a control circuit configured to control the electrical load in response to actuations of the actuator and / or the environmental sensing circuit. The bezel may comprise a ventilation portion on the first or second side portion of the front surface. The ventilation portion may have apertures extending from the front surface to a cavity in the bezel. The environmental sensing circuit may be configured to receive air from outside of the bezel via the cavity.

The embodiment of the invention discloses an environment sensing monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of environment sensing monitoring. The method comprises the steps that an airflow adjusting mechanism is constructed based on a fan, a power detection circuit and a fan driving circuit, and the rotating speed is controlled through a microcontroller; adjusting the wind speed according to the response time of each sensor; the sensors are started through the microcontroller, an airflow adjusting mechanism is synchronously started, whether airflow in the environment reaches a set condition or not is detected, if yes, the sensors are activated, and if not, adjustment is continued; various environmental quality data are acquired and stored for multiple times through the sensors, and the environmental quality data are processed through the microcontroller according to the response acquisition time of the sensors and the residence time of the to-be-detected object; and comprehensively processing the environment quality data acquired for multiple times to obtain final environment monitoring data, and uploading the final environment monitoring data through a communication interface. According to the invention, the problems of mutual interference and large data error of sensors in the prior art are solved.

This invention discloses an environmental parameter sensing and adaptive adjustment system and method based on a photoconductive film. It integrates six-dimensional environmental sensors—light intensity, ultraviolet radiation, temperature, humidity, air pressure, and air quality—at the edge of the photoconductive film, and utilizes the film's directional light guidance and stray light filtering mechanisms to reduce environmental interference. The system includes an environmental sensing module, an environmental parameter processing module, a health data interface module, a correlation analysis module, an adaptive adjustment module, and an environmental early warning module. The correlation analysis module has preset environmental-health correlation patterns such as low temperature-increased blood pressure, high humidity-decreased blood oxygen, high ultraviolet radiation-skin health, poor air quality-respiratory diseases, and sudden changes in air pressure-headaches and joint pain, set based on clinical research data. The adaptive adjustment module pairs with smart home devices through a unified identity authentication center, sending control commands via Wi-Fi / Bluetooth / infrared to automatically adjust air conditioners, humidifiers, dehumidifiers, air purifiers, and lighting according to environmental parameters. The environmental early warning module supports single-indicator early warning, correlation early warning, trend early warning, and seasonal disease early warning, with customizable thresholds. The multi-environmental data fusion module uses weighted averaging and the 3σ principle for anomaly removal, integrating data from multiple devices such as mobile phones, watches, vehicles, and smart home devices. The sensors are automatically calibrated daily using meteorological bureau data, with the calibration process simultaneously linked to health data. This invention solves the problems of scattered environmental sensing devices, disconnect from health data, and inability to proactively adjust, serving as the infrastructure for intelligent health management.

The invention relates to a method for operating a ventilation and / or air conditioning system for a motor vehicle (1), wherein environmental data describing the environment (10) of the motor vehicle (1) are acquired at least temporarily by means of an environmental sensing device (2) of the motor vehicle (1), and an operating parameter of the ventilation and / or air conditioning system is selected and set based on this environmental data. It is provided that the environmental data includes a particulate matter parameter for the air present in the environment (10) of the motor vehicle (1), and the operating parameter is selected depending on this particulate matter parameter. The invention relates to a ventilation and / or air conditioning system for a motor vehicle (1) and a computer program product.

This invention relates to a constant pressure control system for an optical cavity based on pump-valve coordination and water immersion sensing, and its active protection method. Belonging to the fields of precision instrument control and industrial automation, the system integrates an electronically controlled proportional valve and an air pump through a pump-valve coordinated pressure control unit. It dynamically adjusts the intake and exhaust flow rates based on an adaptive PID algorithm and a coordinated allocation function, achieving high-precision, rapid, bidirectional adjustment of the optical cavity pressure. Simultaneously, it employs a dual environmental sensing unit including visual perception and capacitive liquid level sensing, which executes constant pressure control and active anti-intrusion monitoring in parallel through an intelligent coordinated control unit. When visual detection identifies a risk of water intrusion, the system proactively limits the pump speed; when the capacitive sensor detects liquid water intrusion, it immediately executes an emergency shutdown. This solves the problem of difficulty in coordinating pressure control and safety assurance in traditional technologies, achieving a unified approach of long-term precise constant pressure and active contamination protection, significantly improving the system's reliability, safety, and intelligence level under complex operating conditions.

The invention relates to a method and a device for providing an optimization function for operating an environment sensor system, comprising: a step of receiving a plurality of sets of environment data values, each set of environment data values having been detected by means of a sensor of a vehicle, each set of environment data values representing the surroundings of the respective vehicle, each set of environment data values representing the surroundings of the respective vehicle, each set of environment data values representing the surroundings of the respective vehicle; each set of environmental data values comprises at least one point in time and / or position specification when the corresponding ambient environment is detected; a step of creating a digital map according to the set of environmental data values, where the creation of the digital map comprises a plurality of sub-steps, where at least some of the sub-steps comprise a monitoring algorithm, which respectively generates quality indicators corresponding to the implemented sub-steps; a step of aggregating the quality indicators and determining the optimization function from the aggregated quality indicators; and a step of providing the optimization function to operate the environment sensing device. The invention also relates to a computer program and a machine-readable storage medium.

The embodiment of the invention provides a biomass incineration fire point determination method and device, computer equipment and a medium, and relates to the technical field of atmospheric environment remote sensing monitoring, and the method comprises the steps: obtaining the column concentration of atmospheric trace gas, the profile of the atmospheric trace gas, the land utilization type and biomass incineration related data of a to-be-monitored area; according to the column concentration of the atmospheric trace gas and the atmospheric trace gas profile, calculating the near-surface atmospheric trace gas column concentration; according to the spatial-temporal variability of the near-surface atmosphere trace gas column concentration, determining an abnormally high-value grid in the near-surface atmosphere trace gas column concentration; and verifying the biomass incineration rationality of the abnormal high-value grid through the land utilization and biomass incineration related data, and determining the abnormal high-value grid passing the biomass incineration rationality verification as a biomass incineration fire point. According to the scheme, the accuracy and effectiveness of determining the biomass incineration fire point can be improved.

This invention relates to an intelligent fume hood airflow control system based on behavior prediction and dynamic optimization, belonging to the field of laboratory ventilation control technology. The system includes: an environmental sensing module that collects real-time sensing data streams; an intelligent control decision module that dynamically adjusts the face velocity setpoint based on pollutant concentration, predicts and generates variable air volume valve control commands in advance based on the trend of moving door opening changes, and automatically switches between working and standby modes based on personnel presence; a collaborative scheduling module that interacts bidirectionally with the building management system and other fume hoods to collaboratively adjust the control strategies of each fume hood; and an execution and update module that drives the actuators and collects feedback status, triggers alarms or emergency exhaust when abnormal conditions are detected, and feeds back the abnormal events to the intelligent control decision module to update the model rule base. This system achieves predictive adjustment of fume hood face velocity, multi-condition adaptive optimization, multi-hood collaborative scheduling, and closed-loop self-updating.