84results about How to "Avoid lag" patented technology

The invention relates to the technical field of raw material management systems, in particular to a raw material management system for building engineering construction. The management system comprises a raw material information management module, a purchase management module, an inventory management module, a use management module, an optimization allocation module, a raw material quality evaluation module, an environmental impact evaluation and material selection module, a supply chain transparency module, a life cycle management module and a raw material demand prediction and inventory optimization module. An automatic purchase and supplier collaborative optimization module; the system uniformly manages data information of links of raw material purchasing, inventory, use and the like through a centralized data platform, forms a complete material management chain, avoids information dispersion and lag, realizes real-time sharing of data of each link, improves transparency of management and accuracy of decision making, and meanwhile, greatly improves management efficiency. The complexity and error rate of manual operation can be remarkably reduced through automatic purchase order generation, intelligent inventory management and supplier collaboration.

The invention relates to the technical field of ecological cycle, in particular to an ecological cycle management method based on agricultural and pastoral integration. A data mining technology is adopted, soil sensor data, meteorological data, crop growth data and livestock health data are integrated, and a dynamically coupled nutrient management model is constructed; the nutrient requirements of crops and soil are predicted in real time by using algorithms such as deep learning, and a fertilization strategy is adjusted according to a prediction result, so that the limitation of static management is overcome, and precise fertilization is realized; the real-time monitoring technology is combined, and real-time adjustment is carried out according to the actual environment and crop requirements; nutrient supply is continuously optimized through a feedback mechanism system, the problem of lag in an existing management scheme is avoided, and it is guaranteed that crops obtain a proper amount of nutrients in different growth stages; historical data are deeply analyzed by using a data mining technology, key factors influencing nutrient supply and demand are mined, a scientific fertilization strategy is formulated, the utilization rate of data is remarkably improved, and uncertainty in management decision is reduced.

The invention relates to the technical field of construction site risk identification, and particularly discloses an infrastructure line construction site environment risk identification system. The system is provided with a three-dimensional distance measurement risk grade determination module, a natural environment risk grade determination module, a construction state risk grade determination module, an environment risk initial evaluation grade determination module and a construction site environment risk judgment module. The problems that monitoring of the safety area and the safety distance of high-risk operation is low in precision, low in efficiency, greatly affected by the environment and difficult to meet the requirement of a modern infrastructure line construction site for safety management exist in the prior art are solved, the construction site can be dynamically monitored under different environments and construction conditions, and through a comprehensive and efficient risk identification and early warning system, the safety management efficiency is improved. The accident rate of a construction site can be reduced, and construction quality and project progress are guaranteed.

The invention relates to the technical field of farmland pest real-time detection, in particular to a farmland pest real-time detection device, method and system based on an unmanned aerial vehicle, and the device comprises the unmanned aerial vehicle, a flight control system, a remote controller, a camera, a camera remote controller, an airborne computer, a 4G communication module and a ground workstation. A detection result is transmitted to a ground work station in real time through the 4G communication module, so that the real-time performance of data is ensured, the lagging of information processing during pest outbreak is reduced, and pest diffusion caused by information delay is avoided; according to the method, pests are automatically identified based on an improved YOLOv10 network model, a weight file is deployed on an airborne computer of an unmanned aerial vehicle and real-time detection is carried out, images can be directly processed in the flight process, a detection result can be rapidly obtained, information lag is avoided, it is ensured that prevention and control measures can be taken in time when pests burst out, and the control efficiency is improved. Therefore, crop loss is reduced.

The application provides a cooling tower constant pressure PID adaptive control method and system based on process monitoring, and relates to the technical field of PID control.The method comprises the following steps: decoupling a working condition characteristic index group and a deviation feedback index group; constructing an operating condition vector and matching an initial operating scene group; calling a historical state transition chain, performing scene membership probability correction based on scene state transition prediction, and outputting a real-time operating scene; performing disturbance-free smooth coarse adjustment of the cooling tower constant pressure control; executing fine-grained PID fine adjustment of the cooling tower constant pressure; and performing scene switching analysis under incremental monitoring until the operating scene is changed, triggering fine-grained PID fine adjustment under disturbance-free smooth coarse adjustment. The application solves the technical problem that the prior art usually performs control parameter setting based on single or low-dimensional characteristics, cannot accurately identify the current operating condition category, and thus leads to PID parameter update lag and difficulty in timely matching the actual system dynamic characteristics when the operating condition rapidly changes.

The utility model relates to a new energy commercial vehicle resolver signal detection circuit comprising a filter circuit comprising a first filter unit and a second filter unit, and the output end of the second filter unit outputs the positive differential output and the negative differential output of a resolver signal to a decoding chip; the differential circuit comprises a buffer amplification unit and a third filtering unit, the input end of the buffer amplification unit is connected with the second output end of the first filtering unit, the output end of the buffer amplification unit is connected with the input end of the third filtering unit, and the output end of the third filtering unit outputs a decoding signal; and the micro-control unit is connected with the output end of the third filtering unit, and the micro-control unit is used for judging the fault type of the rotary transformer in combination with the information of the decoding chip. According to the utility model, through combination of multi-stage filtering, differential signal processing and the micro-control unit, the stability of a rotary transformer signal can be effectively improved, and faults can be accurately diagnosed.

This invention discloses a liquid-cooled collaborative intelligent temperature control method and system based on layered PCM, relating to the field of liquid-cooled temperature control technology. The method includes: S1, real-time acquisition of liquid-cooled temperature control data and preprocessing of the data; S2, calculation of the sensible and latent heat absorption of the outer and inner PCM layers, assessment of the risk of thermal imbalance on the conductor surface, determination of the current thermal state, and output of a thermal risk warning signal; S3, assessment of the degree to which cable bending weakens thermal coupling performance, triggering a layered PCM collaborative temperature control strategy, and execution of graded control commands for the power pump, circulation pump, and three-way valve; S4, assessment of the deviation between the current heat exchange capacity and the heat load demand, correction of the cooling response coefficient, and optimization of the PCM collaborative temperature control strategy. This solves the problems of unstable thermal coupling between the coolant pipe and the heating conductor in existing liquid-cooled cables, and the tendency for pipe deformation and contact thermal resistance and localized hot spots to occur with frequent bending.

The invention provides a new energy system operation state monitoring analysis method and device based on a multi-level structure and a storage medium, and relates to the technical field of data monitoring analysis. The method comprises the following steps: dividing acquired data of a new energy monitoring system according to a preset hierarchical structure to obtain hierarchical structure data; constructing the hierarchical structure into a hierarchical data model through a dynamic time sequence modeling algorithm; constructing a cross-regional panoramic monitoring graph, and performing optimization scheduling of regional hierarchical data in combination with a dynamic network optimization algorithm; and collecting real-time data of the new energy access point through an incremental data synchronization algorithm, performing data analysis on the new energy access point, and generating an analysis result. By introducing hierarchical data modeling, dynamic data synchronization, incremental data processing and panoramic modeling, the data management flexibility, the real-time monitoring precision, the cross-regional data synchronization and scheduling efficiency and the risk assessment and abnormal response capability of the new energy monitoring system are remarkably improved.

This invention discloses a phase-shifted full-bridge plasma power supply based on all SiC devices, belonging to the field of special power supply technology. It includes: a rectifier unit with a power factor correction circuit; an inverter unit containing a phase-shifted full-bridge topology composed of SiC power devices and an energy storage inductor, achieving zero-voltage switching through phase-shift control; a transformer unit; an output unit including an output filter capacitor; and a control unit that uses an incremental PID algorithm to generate phase-shift control signals. This invention analyzes the differences in zero-voltage switching between the leading and lagging bridge arms, utilizes the low output capacitance characteristics and dynamic dead-time adjustment of SiC devices, broadens the soft-switching range under light loads, effectively reduces output current ripple, and improves dynamic response speed and overall efficiency.

The present invention discloses a wind farm tower inclination monitoring system and a precise wind direction method, comprising a wind turbine and an annular base, wherein an auxiliary plate is arranged on the wind turbine, and an inclination sensor which can monitor the inclination of the wind turbine in real time is arranged on the auxiliary plate, the wind turbine is located in the annular base, and concrete columns are arranged around the bottom of the annular base, and an anti-deviation mechanism is arranged on the tower of the wind turbine. By arranging the inclination sensor, the inclination angle of the tower deflection when the wind speed is stable can be monitored in real time, so as to accurately identify and calibrate the wind direction, so that the wind turbine can quickly adjust the direction of the fan blades according to the wind direction, so as to achieve precise wind direction, and by arranging the anti-deviation mechanism, the inclined tower can be supported, and with the cooperation of a first electric telescopic rod and a second electric telescopic rod, the length and angle of the supporting square plate can be fine-tuned, so that the inclination of the tower can be corrected.

The invention provides an air direction and air volume adjusting device and an air direction and air volume adjusting method. The device comprises a central controller, a dust concentration sensor, a first flow sensor, a second flow sensor, an air volume adjusting assembly, a first air duct assembly, a second air duct assembly, a rotating assembly and an air outlet adjusting assembly. The central controller correspondingly controls at least one of the air volume adjusting assembly, the rotating assembly and the air outlet adjusting assembly to work according to dust concentration data detected by the dust concentration sensor and flow data detected by the first flow sensor and the second flow sensor. A mechanical structure does not need to be manually controlled for driving adjustment, so that the air direction and the air volume in a roadway are convenient to adjust, and time and labor are saved; moreover, the adjustment precision and sensitivity of the wind direction and the air volume are guaranteed, accurate control and quick response type dynamic adjustment of the air volume and the wind direction are effectively achieved, and then the good ventilation and dust control effect can be achieved.

This invention belongs to the field of Internet technology and relates to a distributed task monitoring method and system based on state transition and targeted push. It includes receiving subscription requests initiated by clients, adding clients to communication groups associated with the task status corresponding to a tab, and maintaining the group affiliation information of each client in real time; based on the group affiliation information, when a task status transitions from its original state to a new state, locating the original state group and the new state group, pushing a removal notification to the original state group and a move-in notification to the new state group; when a task in the execution state experiences a progress update, locating the execution state group and pushing a progress update message only to that group; and using the removal notification, move-in notification, and progress update message as outputs to trigger clients to perform removal, addition, and progress refresh operations on the corresponding tasks in their local task lists, respectively. This solves problems such as list synchronization issues and numerous invalid pushes, achieving real-time list consistency and accurate push notifications.

The invention discloses a server board card testing system which is applied to the field of hardware testing. The system comprises an automatic test device, a controller and a cloud server. The automatic test equipment comprises a test board, a probe system and a signal acquisition and analysis system, and the probe system determines the board card position information of each test point according to the test point position information in the test case and automatically moves a probe to the board card position information. And the signal acquisition and analysis system acquires test signals and calls an automatic test instruction to perform waveform analysis on the test signals of the test points. And the controller automatically generates a test case from the test data and sends the test case to the automatic test equipment. And the cloud server performs corresponding test analysis on the waveform image information according to the test case and generates a test report. According to the method and the device, the problems of aging hysteresis, quality instability and uncontrollability of board card testing in related technologies can be solved, and the server board card testing efficiency and testing precision can be effectively improved.

This invention discloses a monitoring and early warning system and method for a makeup water resin regeneration workshop, relating to the field of production process monitoring technology. The system includes the following steps: during the static settling stage of makeup water resin regeneration, temperature, pressure, flow rate, and visual information are simultaneously collected from the upper and lower positions of the bed. The temperature, pressure, flow rate, and visual information are then compared and analyzed to generate a settling status linkage record. This invention achieves continuous sensing of the internal temperature, water flow, and interface state during the resin settling stage through multi-dimensional parameter synchronous acquisition and linkage analysis, enabling early identification of internal changes and improving monitoring and safety. Furthermore, it optimizes the regenerated liquid entry method based on flow distribution and combines controlled reverse pressure to regulate the flow field, eliminating short circuits and enhancing uniform contact, thereby improving regeneration quality and reducing operating costs.

The invention relates to the field of brakes, and discloses a novel return mechanism and a dry type electronic parking brake, a first connecting part and a second connecting part are both provided with U-shaped bayonets, and a first fixing part and a second fixing part are both provided with left flanges and right flanges abutting against the U-shaped bayonets; the first fixing part and the second fixing part are fixed to the main spring frame in a riveting mode. The guide spring frame is located between the upper supporting spring frame and the lower supporting spring frame, and the guide spring frame is fixed to the main spring frame through riveting; limiting openings are formed in the left end and the right end of the guide spring frame. The brake has the advantages of being reliable in return, low in dragging, free of additional supports and the like.

The invention provides a coal quality supervision method and system based on big data and infrared measurement. The method comprises the following steps: establishing and storing carriage size data and empty vehicle weight data of a coal transport vehicle to a database; after the vehicle is loaded with coal, scanning the coal pile in the carriage through an infrared three-dimensional scanner to obtain surface contour data of the coal pile; calculating the loading volume of the coal pile according to the carriage size data and the surface contour data of the coal pile; the total weight of the vehicles is obtained through the truck scale, and the net weight of the coal is calculated by combining the corresponding empty vehicle weight in the database; calculating the real-time density of the currently transported coal according to the net weight and the loading volume of the coal; calling a historical density weighted average value of the same batch of the current coal from a big data platform; and comparing the real-time density with the weighted average value of the historical density, and if the deviation exceeds a preset threshold value, triggering coal quality abnormity early warning. The efficiency and accuracy of coal quality supervision are effectively improved.

The embodiment of the invention provides a protection section state-based cross-interlocking concentration area protection turnout locking method, which comprises the following steps that: an ATS sends a route handling command to a CI1 of a first interlocking concentration area to which a route belongs, the CI1 handles the route and feeds back completion information, and then the ATS sends a locking command aiming at a protection section in which the route is positioned to the CI1, the turnout in the protection section is located in a first interlocking concentration area, and the protection turnout is located in another second interlocking concentration area. The CI1 responds to a locking command to expropriate a turnout and a protection turnout, and sends a protection section state set to be locked to the CI2 of the second interlocking concentration area; the CI2 responds to the state to move the protection turnout to a corresponding protection position and sends a turnout driving mark set to be successful to the CI1; and the CI1 responds to the mark, the turnout is moved to the corresponding position of the route, a locking command is executed, and the turnout and the protective turnout are locked. In this way, the efficient, reliable and safe locking process of the protection turnout crossing the interlocking concentration area can be achieved.

The invention discloses a vehicle active safety pre-detection method based on travel risk prediction, and relates to the technical field of vehicle active safety control, and the method comprises the steps: obtaining a historical travel data set of a vehicle, carrying out the division of road segments based on a road network topology, carrying out the risk feature extraction of the divided road segments, and constructing a road segment-risk feature mapping library; historical risk features of the road section are extracted from the mapping library, and the static features and the dynamic features of the road section are fused through a double-flow LSTM-attention mechanism model to obtain a road section risk probability; dividing the risk levels of the road sections according to the risk probability of the road sections, mapping the risk levels to an HSV color space, and transmitting the risk levels to a pre-check layer of the vehicle-mounted HUD; and calculating the triggering distance of the vehicle entering the predetermined road section, extracting risk level information from the pre-detection layer after the vehicle enters the triggering area, and triggering and loading the active safety pre-detection of the vehicle. According to the invention, the prediction capability and intervention capability of the vehicle on potential risks are improved, and the self-adaptability and intelligent level of a vehicle active safety system are enhanced.

The invention discloses a multi-sensor fusion attitude control method for a wheeled humanoid robot, and relates to the technical field of robot motion control. The problems that in the prior art, chassis and upper body posture sensing are separated, and whole-body coordination is insufficient can be at least partially solved. The method comprises the following steps: establishing a whole body state vector including chassis, upper body and head postures; collecting data of each inertial measurement unit and generating an adaptive fusion weight based on topographic features; performing multi-source data fusion through extended Kalman filtering to obtain a whole body attitude estimation value; calculating a terrain compensation torque according to the terrain inclination angle and the curvature; a hierarchical control law is constructed based on quaternion errors to generate control instructions of all the parts; predicting center-of-gravity shift caused by upper limb movement and calculating feed-forward compensation torque; and carrying out residual monitoring and zero offset calibration on the sensor. Whole-body posture coordination control over the chassis, the upper body, the head and the two arms is achieved, and the robot has the terrain self-adaptive capacity and the anti-disturbance capacity.

The invention relates to the technical field of valves, and discloses a quick connector with an overflow valve function, which comprises a connector used for connecting an air inlet end and an air outlet end and providing the overflow valve function; the butt joint assembly is arranged on one side of the connector, and sealing and quick detaching are achieved through multi-structure clamping; the control system is arranged in an inner cavity of the connector and used for being connected with the sensor to control the magnetic force of the electromagnet. The cut-off assembly is arranged on one side of the connector and controls the magnetic resistance between the electromagnet and the valve element by being powered on so as to control the medium flow; the cut-off assembly further comprises an assembly block. Through magnetic resistance adjustment between the electromagnet and the valve element, the flow of gas or liquid can be accurately controlled, dynamic adjustment of media in a system is achieved, the common lag and abrasion problems in traditional mechanical valve control are avoided, and adjustment is more flexible and efficient through accurate control of the electromagnet.

The utility model relates to ceramic grouting piece measurement technical field, concretely to a kind of ceramic grouting piece size measuring device, including grouting table and auxiliary mechanism, the upper surface of grouting table is equipped with grouting groove, the inside of grouting groove is provided with grouting piece body, auxiliary mechanism is located at the top of grouting piece body, the auxiliary mechanism includes. Side column, sliding slot and sliding block, the upper surface of grouting table side is provided with side column;The utility model is set in sliding block and the sliding slot of side column, limit slot mutually coincide and movably set in device, cooperate with the movable ball in recess and the sliding slot inner wall adhesion, can let sliding block drive installation top plate and the flexible lifting of measurement structure below, easily adapt to grouting piece body of different height, simultaneously, installation top plate is connected measuring plate by spring, the elasticity of spring can make measuring plate closely adhere grouting piece surface, without complex fixing procedure, the preparation work before measurement is simplified, to improve measurement efficiency.

A kind of new water level measurement environmental monitoring operation system of port, including data acquisition module, data processing module, data display module, early warning control module and operation equipment;The data acquisition module is electrically connected with data processing module, the data processing module is respectively connected with data display module, early warning control module, the early warning control module is connected with operation equipment communication;The data acquisition module includes weather monitoring part and radar liquid level meter;The weather monitoring part is used to collect the wind speed, temperature, humidity, PM2.5 concentration data of wharf site;The radar liquid level meter is used to collect the real-time distance data with water surface, and the real-time water level of wharf is calculated in combination with the preset "design highest water level point" and "transfer station layer height distance".The utility model aims at overcoming the problem that environmental monitoring data is dispersed in field production operation, early warning is not timely, and is disjointed with operation process, realizes the real-time acquisition, processing, display, early warning of water level and multidimensional environmental data, and links control operation equipment, improves the safety and reliability of wharf production operation.

The utility model belongs to the technical field of fire fighting and production water, concretely relates to a kind of automatic control device of water level of reservoir, including reservoir, the inside of reservoir is equipped with water level meter, the inside of reservoir is detachably connected and is communicated with water inlet mechanism, the inside of reservoir is detachably connected and is communicated with outlet pipe, the outer periphery of outlet pipe is detachably connected and is communicated with booster mechanism, the outer periphery of booster mechanism is detachably connected and is communicated with fire-fighting mechanism, the end of booster mechanism is detachably connected and is communicated with water using mechanism, the upper portion of reservoir is provided with cover plate assembly, water level meter is connected with controller, water inlet mechanism, booster mechanism, fire-fighting mechanism and water using mechanism are all connected with controller, relative to prior art, the utility model not only avoids the error and lag that may appear in artificial monitoring, ensures that reservoir is always maintained in reasonable water interval, realizes the efficient use of water resources, to ensure fire water.

The invention relates to the field of bridge engineering, in particular to an intelligent sensing prestress steel bar structure and a manufacturing method thereof.The intelligent sensing prestress steel bar structure comprises a steel bar, the steel bar is used for tensioning a bridge, a groove is formed in the outer wall of the steel bar, and the groove is formed in the whole body in the length direction of the steel bar in a double-spiral-line shape with the axis of the steel bar as the center line; a groove is formed in the prestressed steel bar, the groove is used for arranging a fiber grating sensor, the fiber grating sensor is used for monitoring the stress in the axial direction of the steel bar, the double-helix groove is formed in the prestressed steel bar, the fiber grating sensor is pasted on the inner wall of the groove, and the groove is arranged to be in a double-helix form, so that the stress of the prestressed steel bar is monitored. The grooves can cover the outer wall of the prestressed steel bar in a large area, the distribution range of the sensors is expanded, and the monitoring comprehensiveness and uniformity are guaranteed; the fiber grating sensor deforms along with the deformation of the groove, and is always attached to the inner wall of the groove, so that real-time and continuous monitoring can be realized.

The invention discloses a hidden danger intelligent identification and closed-loop management method and system, and aims to solve the problems of single information source, low identification efficiency, flow non-closed loop and the like in existing hidden danger management. The method comprises the steps that a user shoots hidden dangers through a mobile terminal and uploads information; the cloud server identifies hidden danger types by using image identification and a natural language processing algorithm, evaluates risk levels, and performs quantitative analysis through a preset formula; a responsibility unit is matched and a notification is sent, and the responsibility unit formulates a rectification scheme and uploads a progress; and the cloud verifies the rectification effect to form a closed loop. Meanwhile, the system is provided with a reward mechanism, data transmission is encrypted, and hidden danger rules can be analyzed. The method broadens information sources, improves identification accuracy and processing efficiency, mobilizes public participation, and is suitable for multi-field safety management.

The application provides a multi-sensor fusion robot grasping path planning method and device, and relates to the field of automation. The method comprises the following steps: constructing a first time correction relationship based on multi-source sensor observation parameters; inputting hardware timestamps synchronized to a master clock source into an extended state estimation model based on the first time correction relationship; iteratively updating the multi-source sensor observation parameters based on the extended state estimation model, and constructing a second time correction relationship according to the updated multi-source sensor observation parameters; constructing a pose continuous time trajectory function corresponding to a target robot based on the second time correction relationship; taking the continuous time trajectory function and the multi-source sensor observation parameters as inputs, and outputting a grasping path corresponding to the target robot through a joint optimization model with a time sequence consistency constraint; and controlling the target robot to perform a grasping operation based on the grasping path. The application solves the problem of low precision of the robot grasping path in the prior art.

The present application relates to the field of photovoltaic regulation, and particularly relates to a power adaptive regulation method and system of a photovoltaic module, the method comprising the steps of: setting a frequency and a threshold value; collecting and outputting data according to a preset; calculating a light intensity and a wind speed working condition data change rate, if the light intensity or the wind speed change rate reaches a corresponding threshold value, then it is a sudden change state, a frequency switching instruction is triggered; otherwise, the reference frequency is maintained, and data is continuously collected; after receiving the frequency switching instruction, the frequency is increased to the highest frequency within a preset time to capture key data; after the sudden change state lasts for more than a preset time length and the working condition is stable, the frequency is decreased to the reference frequency within a preset time; in a non-sudden change state, based on the current sampling frequency data, the inverter parameters are adjusted, and the adjustment is accelerated in a sudden change state, so that the power of the photovoltaic module is continuously and adaptively regulated, and the rationality and stability of power regulation are improved.

The invention discloses an energy-saving direct-current power supply load, particularly relates to the technical field of semiconductor testing, and is used for solving the problems of test waveform distortion and lag caused by mutual interference of an energy recovery system and load current control in a dynamic test of an existing direct-current electronic load. A circuit monitoring module monitors direct current bus voltage ripples and load current tracking errors, a track construction module constructs a dynamic working point track in a phase plane and calculates the divergence of the dynamic working point track relative to a stable operation area, and a feature recognition module recognizes local geometric features of the track when the divergence exceeds a stability threshold value. The weight evaluation module maps the geometrical characteristics into state categories and evaluates collaborative weights, the interaction analysis module analyzes an interaction mode of an energy recovery power regulation rate and a load current change rate according to the collaborative weights, and the collaborative execution module executes collaborative operation of load current control and energy recovery power scheduling. The dynamic test accuracy is improved, and the energy recovery efficiency is optimized.

The application discloses a cutting temperature control system and control method for machine tool heating cutting, and the control system comprises a temperature detection module, a temperature control module comprising a cooling control submodule and a heating control submodule, a temperature prediction module for predicting the temperature of a cutting area, a temperature control scheme generation module for generating a temperature control scheme in a machine tool heating cutting process according to the result of the temperature prediction module, and a central control module for controlling the temperature control module according to the temperature control scheme generated by the temperature prediction module in the machine tool heating cutting process, so that the temperature of the cutting area is controlled in a preset target control temperature range T b of the cutting area. The temperature control scheme of the application has better synchronism, can avoid the lag of the actual temperature relative to the target temperature in the feedback control scheme, and can guarantee a longer tool service life and better cutting effect.

The invention discloses a seat ventilation parameter prediction and control method and system based on dynamic environment perception, and relates to the technical field of data processing.The method comprises the steps that firstly, multi-source asynchronous sensor information of all seats of a target vehicle is obtained, and ventilation operation accumulation areas of all the seats are recognized through a space-time alignment and judgment method; meanwhile, the heat dissipation effective state of each accumulation area is determined and updated in real time by combining the heat dissipation rate and the air volume gear historical record; on this basis, ventilation parameters are preliminarily adjusted, then a future ventilation demand is generated through a ventilation demand model driven by short-time prediction, hardware constraint matching is carried out in combination with the actual executable range of a fan, temperature and humidity state changes of passengers and environmental disturbance can be responded in a short time, and the riding comfort is improved; meanwhile, through combination of feedforward control and hardware constraint matching, air volume overshoot or lag is avoided, safe and reliable operation of a ventilation system is ensured, and the seat temperature and humidity adjusting efficiency is effectively improved.