104results about How to "Ensure real-time" patented technology

The invention discloses an enterprise risk data determination method and device, a storage medium and an electronic device, and the method comprises the steps: constructing an enterprise relation graph corresponding to an enterprise set according to the risk of each enterprise in the to-be-predicted enterprise set and the incidence relation between the enterprises, each enterprise serves as a node in the enterprise relation graph, and the nodes of the enterprises with the incidence relation are mutually connected; nodes with self risks larger than a first threshold value in the enterprise relation graph serve as risk nodes; respectively spreading the risk signal of the risk node to all non-risk nodes which are connected with the risk node and meet the spreading condition; and determining and updating the risk data of the non-risk node according to the risk data of the non-risk node and received risk signals transmitted by all risk nodes connected with the non-risk node. Accurate prediction of enterprise risks is realized by simulating diffusion of risk signals in an enterprise network.

The invention provides a real-time disaster situation multi-dimensional verification alarm method and system based on a large model, and relates to the technical field of disaster situation response, and the method comprises the steps: carrying out the backtracking and calling of multi-source disaster situation associated data after a disaster situation early warning signal is received, and obtaining a heterogeneous disaster situation data set; starting a dynamic task chain scheduling mechanism, executing multi-priority thread trend analysis, and outputting a multi-dimensional index analysis result; executing multi-dimensional index cross verification, and outputting a disaster verification conclusion; disaster decision making is carried out, and a disaster decision instruction is generated; carrying out township-level disaster situation grid positioning, and outputting a disaster boundary coordinate set; after the thermal rescue target spot is framed, geological disaster avoidance analysis is carried out, and a safety buffer area is positioned; and executing an alarm verification response. The technical problems that in the prior art, a disaster monitoring and early warning system mainly depends on a step-by-step reporting mechanism, so that disaster information transmission is lagged, accuracy is lost, and timeliness and accuracy of post-disaster rescue work are affected are solved.

This application discloses a method and apparatus, storage medium, electronic device, and computer program product for evaluating battery pack consistency. The method includes: acquiring cell data of multiple cells of the battery pack to be evaluated under target operating conditions; determining a dispersion index of the battery pack based on the standard deviation and average value of the cell data; determining a first evaluation index of the battery pack based on the dispersion index; uploading the cell data of the multiple cells to the cloud when the first evaluation index is determined to be greater than a preset threshold, and receiving a second evaluation index of the battery pack returned from the cloud; and determining the evaluation result of battery pack consistency under the target operating conditions based on the first and second evaluation indices. By fully leveraging the real-time advantages of vehicle-side computing and the accuracy advantages of cloud computing, the real-time performance and accuracy of battery pack consistency evaluation are ensured, enabling timely detection of battery pack consistency issues.

The present application relates to data push method technical field, especially a kind of data push method, by mirror index tree engine, the engine adopts hierarchical index tree to carry out hierarchical management to rule, ensure that even under high data volume, it can realize fast, accurate rule matching, improve the efficiency of data push.For the potential problems caused by the dynamic modification of rule, mirror index tree engine also contains shadow hierarchical index tree, when rule is added, deleted or modified, reduce the interference to the ongoing rule matching task, ensure the stability and response speed of system, effectively reduce the negative influence of traditional rule engine on system performance when the number of rules grows and frequently changes.

The application discloses a precise intelligent agricultural greenhouse control system based on Zigbee transmission technology and relates to the technical field of intelligent agricultural greenhouse environment control. The system continuously monitors leaf surface temperature, air temperature and humidity and breeze speed, identifies local dewing risks by combining the change track of the leaf surface temperature to the dew point temperature and the influence of the breeze speed on the leaf surface air boundary layer, constructs link congestion states by combining the node retransmission times and the cache queue occupation amount, and realizes the priority scheduling of the control instruction and the environment data transmission. In the case that the dewing risk is increased and the link is congested, the anti-dewing control instruction is preferentially issued to the local microcirculation fan and the top ventilation window, and the non-key sensing node report is dynamically suspended, so that the high precision, real-time performance and spatial positioning of the anti-dewing control are realized. The application can prevent the local low wind speed area from dewing in advance, improves the yield and quality of the greenhouse crops, and effectively reduces the local disease risk.

The embodiment of the application discloses a kind of based on wavefront parallel processing to the method, device, storage medium and computer equipment of image H.264 encoding, it is related to image processing field.The application is processed adjacent macroblock line by double encoder parallelly, and respectively first buffer and second buffer are written to encoding bit stream.In macroblock line encoding completion, first buffer remaining bit stream and entropy encoding remaining bit stream are merged in real time, if the length after merging is less than 8 integer multiples, then appropriate bit stream is dynamically taken from the head of second buffer and spliced, complete code stream in line with H.264 standard is generated and outputed.After encoding is completed, the minimum splicing length is used as the offset of second buffer, continue to output byte stream, and the encoding of next macroblock line is started.The application only needs double macroblock line buffer, significantly improves the encoding speed, reduces memory occupation, and does not need to modify decoder, and compatibility is strong.

The invention belongs to the technical field of information technology, and discloses a special signal generating device based on software defined radio and a GPU server, comprising: a graphic processing unit used for generating high-speed orthogonal data streams corresponding to various communication systems and modulation modes, the high-speed orthogonal data streams being transmitted to an intermediate frequency signal unit through an optical fiber; the intermediate frequency signal unit is used for receiving the high-speed orthogonal data stream, completing signal modulation and outputting an intermediate frequency signal; the software-defined radio platform is used for carrying out secondary development to realize signal generation and reception, and the secondary development builds a heterogeneous system integrated by a central processing unit and a graphic processing unit based on general radio software; the central processing unit is used for task scheduling and memory configuration; the invention aims to solve the problem that a signal generating device in the prior art cannot realize high-efficiency collaboration of a central processing unit and a graphic processing unit in high-speed data stream processing.

The invention relates to the technical field of electrochemical energy storage safety, and discloses a battery energy state estimation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an open-circuit voltage-state-of-charge curve of a battery; calculating an integral value of the open-circuit voltage-state-of-charge curve in a full-state-of-charge range; and estimating the real-time charge state of the battery at any moment, and calculating the energy state of the battery based on the integral value and the real-time charge state. According to the method, the open-circuit voltage-state-of-charge curve of the battery is obtained, the integral value of the curve in the full-state-of-charge range is calculated, and the energy state is calculated based on the integral value after the instant state-of-charge is estimated, so that the influence of internal resistance polarization on energy state estimation is effectively eliminated, and the precision and reliability of SOE estimation are remarkably improved; the problem of large error caused by internal resistance polarization is solved.

The application relates to the technical field of aerial video analysis, and discloses a large-scene multi-modal analysis system and method based on a UAV. The method acquires an original video frame sequence from aerial equipment, extracts a scene change period and an object motion trend by calculating an inter-frame motion feature vector, and judges whether a scene is in a stable or dynamic state by means of a state classification model. In the dynamic state, a tracking target position is calculated according to preset parameters, and an analysis target area is adjusted in combination with the motion trend; a camera parameter adjustment instruction is generated according to a deviation amount of the analysis target area from an actual object position, and is output to an executing mechanism; a complexity value is acquired through a scene complexity feedback signal, and when the complexity value exceeds a preset range, an adaptive algorithm is used to update an analysis strategy and output an adjustment signal; the output timing of control and strategy adjustment signals is optimized, the frame sequence and analysis parameter change trend are monitored in real time, preset parameters are dynamically updated to match user requirements, and efficient video analysis processing is realized.

The present application belongs to the technical field of boiler four-pipe leakage, and discloses a boiler four-pipe leakage risk early warning method and system based on oxide skin evolution, which comprises the following steps: constructing an oxide skin generation model and an oxide skin peeling determination model, encapsulating them into the same model group in a correlated combination manner to obtain an oxide skin evolution model set; obtaining a state feature vector, mapping the state feature vector to a spatial position, obtaining an oxide skin growth thickness prediction value and an oxide skin peeling risk index based on the oxide skin generation model and the oxide skin peeling determination model; weighting and fusing the temperature change rate and the pressure change rate in the state feature vector to obtain an oxide skin evolution comprehensive risk index; comparing the oxide skin evolution comprehensive risk index with a preset risk threshold to obtain the risk grade of each spatial position unit, and obtaining the boiler four-pipe leakage risk early warning according to the risk grade and the oxide skin evolution comprehensive risk index, thereby avoiding four-pipe leakage, pipe explosion and other faults caused by oxide skin growth and peeling in advance, and reducing the probability of unplanned shutdown.

The invention belongs to the technical field of flexible piezoelectric sensors, and relates to a carbon felt-hydrogel composite piezoelectric sensor and a preparation method thereof. The sensor comprises a piezoelectric sensing layer, a cross-scale dual-network hydrogel layer, an electrode layer, a leading-out wire and a packaging layer, the two cross-scale dual-network hydrogel layers are arranged on the upper side and the lower side of the piezoelectric sensing layer in a stacked mode to form a sandwich structure. The cross-scale dual-network hydrogel layer is an elastic hydrogel material formed by compounding a carbon fiber felt skeleton and a molecular-level network polymer, and the molecular-level network polymer penetrates through the interior and the surface of the carbon fiber felt skeleton and is formed by cross-linking and curing; the number of the electrode layers is two, and the two electrode layers are arranged on the outer sides of the two cross-scale dual-network hydrogel layers in a stacked mode respectively. The lead-out wire is electrically connected with the electrode layer; the packaging layer wraps the outer side of the electrode layer. According to the sensor, the mechanical property, the conductivity and the stability of the flexible piezoelectric sensor can be improved.

The present application belongs to the technical field of photovoltaic equipment monitoring fault early warning, and relates to a photovoltaic equipment cluster benchmarking analysis and implicit fault early warning method and system. The system collects basic parameters and implicit associated data of photovoltaic equipment through a data acquisition module to ensure data comprehensiveness and timeliness. Through a data fusion module, the collected data is processed and fused to generate a standardized data sequence. Through a cluster benchmarking module, the photovoltaic equipment is divided into different clusters, a group health benchmark is constructed, and the model accuracy is improved through individual difference calibration. Through a dynamic early warning module, early warning information is generated, and a basis is provided for subsequent fault troubleshooting. Through an intelligent operation and maintenance module, early warning is prioritized and an operation and maintenance scheme is generated, which is pushed to operation and maintenance personnel for optimization guidance. The present application can realize accurate benchmarking analysis and implicit fault early warning of photovoltaic equipment clusters, and reduce the failure rate.

The application provides a sensor arrangement optimization method, device, equipment and storage medium for a segment erector. It relates to the technical field of sensor layout. The method comprises: establishing a three-dimensional model of a segment erector to which sensors are to be arranged, determining possible installation points of the sensors according to the shape and size of the three-dimensional model; constructing a sensor element library based on the three-dimensional model; wherein the sensor element library is used to determine different types of sensors; determining a spatial effective range of the sensors through simulation analysis according to the field environment and the segment size; constructing an optimization objective function with data precision quality, sensor data processing real-time performance and cost as targets; solving the optimization objective function based on particle swarm optimization to obtain an optimal sensor arrangement scheme. The application can provide a more flexible sensor configuration strategy for the segment erector under different tunnel diameters, curvature radii or complex working conditions.

This invention provides a real-time adaptive 3D measurement system and method for objects based on microstructured light. The system includes: multiple optical measurement units arranged in an equidistant circular array along the circumference on a ring mounting frame and moving synchronously with a lifting and adjusting mechanism; multiple measurement posture acquisition units, a reference posture monitoring unit, a posture compensation unit, a control unit, a data fusion module, and a quality analysis module. According to this invention, the multiple optical measurement units arranged in a circular array enable multi-view synchronous measurement of the workpiece, avoiding the time consumption and reference conversion errors of traditional indexing measurement methods. The real-time posture monitoring and dynamic compensation mechanism effectively suppresses measurement errors caused by factors such as mechanical vibration and temperature drift, reducing posture-related measurement errors. The system achieves automation, real-time measurement, and high precision in 3D measurement, improving measurement efficiency and accuracy.

The application relates to the technical field of intelligent driving of an automobile, in particular to a design method of an explicit control law of an automatic driving automobile, and the method comprises the following steps: constructing a vehicle dynamics model with an affine structure; based on the vehicle dynamics affine model, converting a target function and a constraint condition of a tracking obstacle avoidance constraint type optimal control problem into a control Lyapunov function and a control barrier function; performing weighted addition on the control Lyapunov function and the control barrier function to construct a control Lyapunov-barrier function; and using the gradient of the control Lyapunov-barrier function, a state transition matrix of the dynamics model and a control input transition matrix to design the explicit control law of the automatic driving automobile. Therefore, the problem that, in the related art, the constraint type optimal control problem in obstacle avoidance tracking control needs to be solved through large-scale iterative calculation, the calculation complexity increases sharply when facing multiple obstacles, and the real-time performance and safety of the vehicle-mounted controller cannot meet the millisecond level are solved.

The embodiment of the invention discloses a big data processing method and system based on cloud computing, and the method is realized based on a cloud computing platform, and the method comprises the steps: decomposing a big data processing task into a plurality of micro-tasks, and distributing the micro-tasks to distributed computing nodes; each computing node selects an adjacent node based on a hyper-local algorithm, and constructs a local task processing model only by using local data and metadata of the adjacent node dynamically selected based on a fast game mechanism, the metadata including micro-task data semantic features and task dependency relationships of the adjacent node, and the task dependency relationships of the adjacent node are calculated; semantic features are extracted through a natural language processing technology, and a task dependency relationship is determined based on input and output association of the microtasks; according to the local task processing model, independently executing the micro-task on each computing node, and dynamically adjusting the distribution of the micro-task through a point-to-point local negotiation mechanism; and aggregating the micro-task processing results of the computing nodes to generate a global data processing result. According to the method, the operation and communication overhead is reduced.

This invention discloses a multimodal decision-making method, device, electronic device, and storage medium for open-field vegetable management. The method includes: acquiring modal perception data corresponding to a target open-field vegetable field; determining modal features corresponding to each modal perception data point and determining feature fusion weights corresponding to the modal features at each time anchor point; determining global multimodal fusion features based on the feature fusion weights and modal features; determining knowledge representation features from an agronomic knowledge graph based on the modal perception data; and determining a target decision scheme based on the knowledge representation features and the global multimodal fusion features. By integrating multiple data sources such as meteorology, soil, crop status, and agricultural machinery operating parameters, and employing spatiotemporal alignment and adaptive weighting mechanisms, combined with reinforcement learning technology, the method dynamically adjusts agricultural machinery operation strategies based on real-time data, optimizes agricultural management measures such as fertilization, irrigation, and pest and disease control, improves production efficiency, and ensures the real-time nature and accuracy of decision-making.

The invention discloses a system and method for advertising through an electronic game by using AI, and relates to the technical field of electronic game advertising. The method comprises the following steps: acquiring an image of an interaction area to generate real-time video stream data; performing computer vision analysis on the video stream, extracting non-identity group features of the current interactive group, and forming feature data including dominant age interval labels; taking the label as a query key, and performing matching query according to a dynamic content mapping rule base to determine a target advertisement visual element identifier; positioning a replaceable texture storage area in the game resource package according to the identifier; and on the basis of visual data corresponding to the identifier, the texture content of the region is replaced by an asynchronous rendering updating technology, so that a dynamic advertisement matched with the characteristics of the current crowd is generated and presented in real time in a game picture. According to the method and the device, in an offline anonymous scene, the advertisement in the game is dynamically and accurately updated according to the group characteristic sensed in real time, and the game performance is not influenced.

The invention belongs to the technical field of embedded systems and real-time control, and relates to a high-precision modular event timing system based on a microTCA.4 standard and a Zynq SoC architecture, which is suitable for scenes with high requirements on time synchronization precision and system stability, such as industrial control, and adopts a Zynq SoC timing main logic AMC board card conforming to the microTCA.4 standard and a ZYNQ-7045 SOC industrial chip; a Zynq SoC-based heterogeneous firmware module is provided, a PL end supports nanosecond event timing precision, and a PS end is in high-speed communication with the PL end through an AXI bus; a point-to-point signal real-time transmission and sharing mechanism based on mLVDS is provided; a standard backboard signal output board card and a plurality of types of high-speed photoelectric conversion terminal matching board cards are provided; according to the invention, the advantages of the FPGA are fully exerted, the core function is realized, a high-precision, flexible and extensible system is constructed, and the performance of an event timing system is improved.

The application provides a method for detecting biochemical oxygen demand in sewage, and belongs to the field of oxygen demand detection. The method comprises the following steps: forming a fluorine-containing organosilicon nano coating on the electrode surface of a dissolved oxygen sensor of a full-automatic BOD5 analyzer to obtain a fluorine-silicon modified dissolved oxygen sensor; pretreating the sewage to be detected in an adsorption column composed of modified activated carbon and porous silica gel to obtain a pretreated water sample; fixing bacillus subtilis on a porous carrier and then putting the carrier into the pretreated water sample to obtain an inoculated water sample; measuring the initial dissolved oxygen of the inoculated water sample and the end-point dissolved oxygen after 5-day culture; and obtaining the five-day biochemical oxygen demand in the sewage according to the initial dissolved oxygen and the end-point dissolved oxygen. Through the four-level collaborative system of "sensor anti-interference optimization, sample purification and enrichment, microbial reaction standardization and accurate signal acquisition", the application systematically eliminates the error sources in the traditional BOD5 detection, and realizes the accurate measurement of the organic matter pollution level in complex sewage.

The application discloses a kind of based on machine learning's main girder erects elevation adjustment method, belong to elevation adjustment technical field, this method constructs space-time database by gathering the data of no cable section construction period;Adopt the mixed model of LSTM-Transformer to process time series data, extract long-period characteristic, output initial predicted value of elevation;Nonlinear variable such as the change rate of cable force, sunshine gradient and material age is analyzed using XG-Boost algorithm, and compensation factor is output;Fusion and generate joint predicted value;Construct reinforcement learning intelligent agent, with construction stage as state space, elevation adjustment quantity as action space, the deviation of predicted value and measured value and construction stability are minimized as reward function, and output adjustment instruction;According to driving hydraulic system, adjust erecting elevation, and real-time update database.The application improves the precision and stability of elevation adjustment by multi-dimensional data fusion and intelligent optimization.

The invention relates to the technical field of dynamic modeling, in particular to a bridge structure BIM model display method and system, and solves the technical problem of low model loading and rendering efficiency in the prior art. The method comprises the steps of obtaining state data of a BIM model of a bridge structure in a display observation window; the state data comprises model analysis pressure data, attribute query load data and component dynamic association data; the component dynamic association data is used for representing an association relationship between the dynamic monitoring data and the component; according to the state data, determining an attribute refresh frequency correction coefficient of each component in the BIM model; the attribute refresh frequency correction coefficient is used for representing the correction amplitude of the attribute refresh frequency of the component; and correcting the attribute refresh frequency of the corresponding component based on the attribute refresh frequency correction coefficient of each component, and carrying out attribute loading and display of the BIM model according to the corrected attribute refresh frequency.

The application relates to the technical field of video monitoring, and provides a remote video monitoring method and system, which comprises the following steps: after detecting a remote video monitoring instruction, sending a monitoring request signaling to a cloud signaling service; when the monitoring request signaling is a live broadcast request, sending a start live broadcast signaling to the cloud signaling service, connecting the cloud streaming media service, and waiting for receiving a remote audio and video stream returned by an audio and video collection end; after receiving an audio and video stream forwarded by the cloud streaming media service, sorting the audio and video stream according to a stream serial number to obtain a sorted audio and video stream, decoding the sorted audio and video stream according to an audio and video coding format to obtain image data, and rendering and playing the image data. The application improves the remote video monitoring effect across networks and platforms.

This invention discloses a digital twin simulation system and method for asphalt pavement repair, relating to the field of pavement repair technology. It includes: a data acquisition module for collecting multi-source data on the asphalt pavement and traffic data; a digital twin modeling module for constructing a digital twin model of the asphalt pavement using 3D modeling technology; a repair scheme design module for outputting asphalt pavement repair schemes based on a trained repair scheme recommendation model; a simulation module for simulating the designed repair schemes on the digital twin model and generating simulation result data; and a scheme evaluation module for evaluating the results data from the simulation module based on a trained evaluation model and providing an evaluation score for the scheme. This invention optimizes asphalt pavement repair schemes through real-time data acquisition and digital twin modeling, analyzes the impact of mechanics, material aging, and traffic, improves repair accuracy, enhances construction safety, and increases efficiency.

This utility model discloses a universal rapid testing device for the inner groove of a ball screw nut, comprising: a digital dial indicator, a nut to be tested, and a fixed base; one end of the fixed base is clamped to a fixed bracket, and a cross roller guide is fixedly connected to one side of the fixed bracket. An upper fixed block and a lower fixed block are fixedly connected to one side of the cross roller guide. A spring and a sliding rod are arranged between the upper and lower fixed blocks, with the spring sleeved on the outside of the sliding rod. By using the combination of the cross roller guide and the sliding rod, the device achieves rapid positioning and stable movement, allowing the upper and lower fixed blocks to slide along the guide, with the spring providing a buffering effect. During testing, simply pressing the down handle moves the chuck assembly, simplifying the operation process. The spring sleeved on the outside of the sliding rod allows for adjustment of the preload through a locking screw, ensuring smooth movement and avoiding the tedious manual adjustment, thereby shortening the time required for a single test.

The application discloses a rail-mounted crane visual anti-lifting detection method, system, device and medium, mainly relates to the anti-lifting detection technical field, to solve the current port rail-mounted crane anti-lifting detection generally depends on the low precision of physical sensor and single visual identification technology. Including: according to the pixel range of each industrial camera corresponding image data in the lifting height interval and the hanging high altitude interval, cutting the processed image into lifting height slices and hanging high altitude slices according to the pixel range; using YOLOv5 algorithm, detecting the lifting height slice, identifying whether the container truck tire is off the ground and whether the spreader is aligned; using the CNN-Transformer hybrid structure, detecting the hanging high altitude slice, identifying whether the container truck head has a preset abnormal lifting behavior; when it is detected that the container truck tire is off the ground and the spreader is not aligned or the preset abnormal lifting behavior exists, triggering the abnormal alarm process.

The invention discloses a chemical wounded intelligent transfer cabin based on RFID and a dynamic triage classification method, and belongs to the technical field of medical rescue equipment. The transfer cabin main body integrates the RFID identification module, the vital sign monitoring module, the environment monitoring module, the data transmission module, the cabin body regulation and control module and the emergency response module, and the RFID identification module and the transfer cabin main body are in multi-unit collaborative design, so that rapid and accurate acquisition and storage of identity information of multiple wounded personnel are realized; the problems that the identity of the wounded person is disordered and information is lost on a chemical accident site are solved, the dynamic triage classification method depends on the wounded person identity information, physiological data and environmental data collected by the transfer cabin, dynamic evaluation and classification of the injury condition of the wounded person are achieved through multi-dimensional information fusion, and the dynamic triage classification method cooperates with the transfer cabin body to work. Identity recognition, state monitoring, injury condition grading and transfer scheduling of the chemical wounded personnel in the process of transferring the chemical wounded personnel from a site to a treatment point are completed, and efficient and accurate transfer and injury inspection support is provided for wounded personnel treatment.

The invention is suitable for the technical field of automobile aerodynamics, and provides a self-adaptive flexible spoiler experimental development method under a yaw working condition, and the method comprises the steps: arranging and driving a flexible spoiler in a wind tunnel; the parameters of the spoiler are optimized with the wind resistance coefficient as the target at the multiple yaw angles; designing a piecewise linear rule controller based on an optimization result; pressure monitoring points are arranged on the two sides of a vehicle body, the regression relation between the pressure difference and the yaw angle is established, and the yaw angle is recognized in real time; developing a self-adaptive resistance reduction optimization program, driving the spoiler to be adjusted to the optimal form in real time according to the identified yaw angle, and verifying the resistance reduction effect of the spoiler; a mathematical method is used for calculating the curved surface shape of the spoiler, and reference is provided for automobile appearance design. Aerodynamic configuration self-adaptive adjustment of the vehicle under the crosswind working condition can be achieved, the wind resistance optimization capacity of the real vehicle in the running process is remarkably improved, and an effective experimental method and design basis are provided for low-wind-resistance development of the vehicle.

The application belongs to the technical field of display control, and specifically discloses an LED liquid crystal display screen partition luminance control method and system, which comprises the following steps: generating current frame and next frame data streams by separating a continuous image sequence; performing spatial pixel statistics on the next frame to generate a target backlight digital value; combining the actual backlight value of the current frame to calculate the time domain variation trend, generating a forward-looking backlight state vector and decoding a hardware control feature code; performing spatial filtering on the target backlight digital value to generate a pulse width signal to drive a light source array; using the hardware control feature code to select a target overdrive lookup table, extracting a basic overdrive compensation voltage; using the internal factor of the hardware control feature code to correct the amplitude of the compensation voltage, generating a final driving voltage and applying it to the pixel to realize the display of a fast response liquid crystal. The application realizes the accurate cooperation of pixel overdrive and backlight dynamic trend, and effectively suppresses visual artifacts.

The application relates to the technical field of vehicle-mounted rearview mirrors, in particular to a vehicle-mounted electronic rearview mirror circuit and a vehicle-mounted electronic rearview mirror. The vehicle-mounted electronic rearview mirror circuit comprises a video acquisition module, the video acquisition module comprises video sensors arranged at multiple visual angles of a target vehicle; the output end of the video acquisition module is connected with the input end of a video conversion module, the output end of the video conversion module is connected with the signal input end of a main control module; the first driving end of the main control module is connected with the backlight input end of a driving module, the second driving end of the main control module is connected with the display input end of the driving module; the backlight driving end of the driving module is connected with the first input end of a display module, the display driving end of the driving module is connected with the second input end of the display module, and the display module comprises a plurality of display screens. The application can provide comprehensive surrounding vision for a driver, thereby eliminating the problem of frequent conversion of the driver's vision, reducing the risk of distraction, and improving the convenience and safety performance of driving.