183results about How to "Avoid processing power" patented technology

The invention provides a multi-dimensional data authority management and privacy protection method for an electric power information network, and the method comprises the steps: dynamically selecting the type of a watermark according to the leakage risk level of a screenshot event, and enabling the watermark type to comprise a simple character watermark, a character and image mixed watermark, an invisible watermark, and a two-dimensional code watermark; user screenshot content factors are added in a screenshot event distribution curve of user historical data to judge the risk level of a user, the risk level of a user group is updated, and when the screenshot frequency, time interval, screenshot mode, distribution mode and curve volatility of the user are all normal and screenshot content only aims at sensitive data screenshot, the risk level is improved; a screen capture auditing and monitoring mechanism is established, full-life-cycle recording and tracking are carried out on screen capture behaviors of a user, and screen capture events, watermark embedding conditions and abnormal behavior information in a system are monitored in real time through a visual instrument panel and a report.

The invention provides a time-space dynamic graph construction method and system for an engineering construction project, and relates to the field of railway tunnel engineering management.The method comprises the steps that construction data entities are extracted, and an entity set is generated; taking entities in the entity set as nodes to be added into the graph, and configuring attributes for each node; adding a relation edge for each node according to a logic structure between the construction data; adding a time label and a space label to each node so as to form a data graph; associating each entity in the data atlas with a time chain and a space chain to form a data atlas attached to the time-space chain; combining a node merging strategy and a graph neural network to optimize a graph structure; and dynamically modeling dimensional changes of entities and relationships in time by means of a time sequence diagram neural network. According to the method, the dynamic change graph of the relationship between the construction data entities is constructed, so that the spatial-temporal information and the entity relationship of each process are accurately expressed and efficiently associated, and the retrieval efficiency and the management level are favorably improved.

The invention provides a production business mode construction method based on an industrial internet platform, and relates to the technical field of data processing, and the method comprises the steps: collecting multi-source data, and carrying out the preprocessing of the multi-source data; calculating the adaptation degree of the equipment and the task; dynamic influence parameters are extracted, and operation parameters in the equipment data are adjusted in combination with the adaptation result; constructing a weighted multi-objective function in combination with a completion time limit, a resource demand and a priority factor in the task data; generating a task priority sequence by solving the multi-objective function, and generating a task scheduling strategy according to the task priority sequence; in combination with the real-time state parameters in the equipment data, calculating the utilization efficiency of the equipment resources; performing priority ranking on the equipment according to the equipment resource use efficiency, and generating a resource allocation scheme through a segmented dynamic optimization algorithm; generating a production business mode according to the task scheduling strategy and the resource allocation scheme; according to the invention, the autonomy and accuracy of the production business mode are improved.

The invention relates to the technical field of fault detection for a wireless communication network, and discloses a fault detection method for the wireless communication network. By collecting data of base station signal strength, network delay, data packet loss rate and user equipment signal quality, the problem of insufficient fault detection caused by a single index is solved. Through multi-dimensional data acquisition, the system can comprehensively evaluate network performance, the fault detection accuracy is improved, and different fault types can be effectively identified especially in a complex fault mode. By storing the data according to the time sequence, the problem of time sequence chaos is avoided, and accurate detection of time-varying faults is ensured. The comprehensive data vector generated by each time of sampling comprises a plurality of network performance indexes, so that the fault detection and positioning capability is improved. Abnormal values are eliminated through data preprocessing, the data quality is ensured, an accurate basis is provided for subsequent analysis, and the reliability of a detection result is ensured.

The invention provides a precipitation method of a heavy metal solution. Cations in the heavy metal solution comprise nickel ions, cobalt ions, copper ions, zinc ions and manganese ions, and the precipitation method comprises the following steps: step S100, carrying out a manganese conversion reaction on an alkaline substance by adopting a solution containing manganese ions to obtain a converted manganese precipitate; s200, a stabilizing agent is adopted for carrying out a stabilizing reaction on the converted manganese precipitate, and a stable manganese precipitate is obtained; step S300, adding the stable manganese precipitate into a heavy metal solution for precipitation reaction to obtain precipitate slurry; step S400, continuously carrying out solid-liquid separation on the precipitate slurry to obtain a heavy metal precipitate and a manganese-containing solution; and S500, raw materials including the manganese-containing solution, an oxidizing agent and alkali liquor are subjected to an oxidation precipitation reaction, and a post-precipitation solution and a manganese product are obtained. The method solves the problems of poor sedimentation and filtration performance of a precipitation product, high moisture content of the precipitation product and low precipitation efficiency when heavy metals are precipitated in the heavy metal solution.

The invention provides a method for quickly training an LSTM (Long Short Term Memory) model by time series data, which relates to the technical field of data processing, and comprises the following steps: S1, a data integration stage: efficiently processing and utilizing telemetering real-time stream data through Kafka and Flink, s2, a data storage stage: storing the time sequence data processed in the integration stage into a high-performance database IoTDB specially designed for the time sequence data according to a time sequence, and S3, an algorithm application stage: constructing an LSTM model, setting parameters, optimizing the LSTM model, and performing time sequence data prediction by using an LSTM algorithm model. According to the method for rapidly training the LSTM model through the time series data, the time series telemetry data generated in the test flight process are collected and processed through Kafka, real-time data of an aircraft can be rapidly captured, processed and analyzed, data transmitted by a sensor and an algorithm model are decoupled through the Kafka, data output by the sensor can be directly sent to the Kafka, and the LSTM model can be rapidly trained through the Kafka. And it is avoided that an algorithm model needs to be concerned to process data.

The invention relates to a regulation and control method and system suitable for wastewater multistage purification of a green factory and a terminal, and belongs to the technical field of factory wastewater treatment.The regulation and control method comprises the steps that according to historical wastewater discharge data of the factory, the predicted total discharge amount of wastewater discharge of the day is predicted; generating a first expected water inflow of the wastewater multi-stage purification system according to the predicted total discharge amount; periodically acquiring the actual buffer capacity of the stored sewage discharged into the flow buffer pool by the factory on the same day; whether the actual buffering capacity exceeds one time of the first expected water inflow or not is judged; and if yes, controlling the sewage in the flow buffer pool to enter the wastewater multi-stage purification system at the first expected water inflow. The wastewater multi-stage purification system has the beneficial effects that the treatment capacity of the wastewater multi-stage purification system adapts to the discharge amount of sewage, so that the wastewater treatment effect of the wastewater multi-stage purification system is improved.

The invention discloses an anti-interference microwave electrically tunable filter regulation and control system and method, and particularly relates to the technical field of communication anti-interference, the interference suppression of microwave signals is realized through the following steps: firstly, based on a preset frequency range, monitoring the frequency spectrum change of the microwave signals in real time, and identifying the type and source of interference signals; when the microwave electrically tunable filter is initially tuned, a single-channel strategy is adopted, a preset suppression measure is executed according to interference frequency characteristics, and interference signals are effectively filtered out; finally, a feedback control mechanism is used, the performance of the filter is monitored in the adjusting process, the strategy is dynamically corrected, and the stability and high efficiency of the anti-interference performance are ensured; according to the method, the performance of the microwave filter is evaluated in real time through the environment change characteristic index and the environment complex characteristic index, the positive feedback or negative feedback signal is generated through the fuzzy reasoning model to serve as the basis for adjusting the work of the filter, and the response capacity to the interference environment is improved by adopting a feedback control mechanism; and the high-efficiency anti-interference performance is ensured.

The invention relates to the technical field of digital video devices, in particular to a digital video device control method and device. The method comprises the following steps: acquiring digital monitoring data, performing real-time scene acquisition and dynamic region optimization according to the data, and generating optimized dynamic region data; video frames are read based on the dynamic region optimization data, and abnormal behavior analysis and behavior intention evaluation are carried out; calculating the complexity of monitoring behaviors by combining video frame data and behavior intention data, and evaluating resource consumption increase; the processing bottleneck is evaluated according to the resource consumption growth data, and the processing capability attenuation analysis is carried out, so that the monitoring device is adjusted, and the system performance is optimized; according to the method, the resource allocation and processing capability of the video device is dynamically adjusted through real-time analysis and processing of monitoring data. According to the invention, the digital video device is adjusted, so that the prediction identification of the digital video device is more accurate and efficient.

The invention discloses a terrain-combined weather radar base data dynamic resolution three-dimensional structure reconstruction method, which realizes three-dimensional structure reconstruction through combination of a digital elevation model (DEM) and weather radar base data. The method comprises the steps of cutting DEM topographic data and dumping the DEM topographic data into grid data in a binary form, generating a bitmap as a mapping source, establishing an elevation angle index array based on weather radar base data, establishing an azimuth angle index array based on a conical scanning surface so as to quickly map an angle, determining a rectangular reconstruction area and establishing a three-dimensional grid, traversing the three-dimensional grid to obtain an elevation angle, an azimuth angle and a distance combination array of grid points so as to obtain grid point data, smoothing the grid point data, re-sampling terrain grid data, constructing a terrain grid surface, obtaining a mapping image of the terrain grid surface, and rendering a three-dimensional body; the method has the advantages that the method does not need to depend on online service, and dynamic high-precision three-dimensional structure reconstruction of radar echoes in a specified area can be realized while the interaction performance is ensured.

The invention provides a core particle and a communication method thereof. The core particle comprises a core particle main body; the protocol layer is used for generating adaptation layer sideband request information, physical layer sideband request information and mailbox sideband request information, and receiving mailbox sideband completion information fed back according to the mailbox sideband request information; the physical layer is used for generating physical layer sideband completion information according to the physical layer sideband request information, and is also used for receiving far-end sideband request information of a far-end core particle; and an adaptation layer; the adaptation layer sideband completion information, the physical layer sideband completion information, the home-end sideband completion information and the far-end sideband completion information all comprise identification fields, and different sideband completion information corresponds to different identification field ranges; the identification fields of the adaptation layer sideband completion information, the mailbox sideband completion information and the physical layer sideband completion information are in the same identification field range. According to the core particle and the communication method thereof provided by the invention, the communication efficiency of the core particle can be improved.

The embodiment of the invention provides a data transmission method and device, equipment and a storage medium. A receiving end receives target data sent by a sending end; verifying a plurality of to-be-verified data packets in the target data, and determining the to-be-verified data packets passing the verification as first data packets; combining the plurality of first data packets into verification data; and comparing the verification data with the target data, determining whether the verification data is consistent with the target data, and further judging whether the target data is successfully transmitted. The receiving end in the embodiment of the invention ensures data consistency, reduces data loss or damage and improves transmission reliability by verifying the data packets to be verified, timely finds errors by comparing the verification data with the target data, avoids further processing of error data, improves transmission accuracy, and improves the transmission efficiency by subpackage verification and combination and parallel processing of a plurality of data packets. The verification time is reduced, and the transmission efficiency is improved.

A communication method and system of a DPTP protocol, a product and a medium relate to the field of data transmission, and the method comprises the following steps: under the condition that a dot matrix pen establishes a connection with an upper end application, the dot matrix pen receives a protocol level and a data standard number sent by the upper end application to the dot matrix pen; the dot matrix pen returns a confirmation message to the upper end application, wherein the confirmation message comprises an equipment authentication strategy number; if the authentication strategy number indicates that authentication is needed, the dot matrix pen carries out authentication operation on an authentication instruction sent by the upper end application; under the condition that the authentication operation result is that authentication succeeds or the authentication strategy number indicates that authentication is not needed, the dot matrix pen packages the collected writing track data into message data in a data format according to the data format corresponding to the data standard number; and the dot matrix pen sends the message data to the upper end application. By implementing the method, the stability of data transmission between the dot matrix pen and the upper application can be improved.

The embodiment of the invention provides a lithium iron manganese phosphate positive electrode material and a preparation method thereof, a positive electrode plate and a lithium ion battery, the preparation method comprises the following steps: dispersing a lithium source and a phosphorus source in a dispersant, then adding a manganese source and lithium iron phosphate to form a uniform mixed slurry, the proportion of a solid substance is greater than or equal to 45%, and the dispersant comprises ethylene glycol and / or water; placing the mixed slurry in a closed device, and carrying out a synthetic reaction under a certain condition to obtain a lithium manganese iron phosphate precursor; and carrying out high-temperature sintering on the lithium manganese iron phosphate precursor to obtain the lithium manganese iron phosphate positive electrode material. According to the preparation method of the lithium iron manganese phosphate positive electrode material provided by the embodiment of the invention, lithium iron phosphate is adopted as a template, the lithium iron manganese phosphate positive electrode material with high compaction and high performance is synthesized, no waste material or waste gas is generated, and the method is green and environment-friendly; the dispersing agent is small in usage amount and simple and efficient in process; the reaction atom utilization rate is high, the dispersant can be recycled, and the cost can be reduced; the method can be used for recycling the LiFePO4 material, and the additional value of the LiFePO4 material

The invention relates to the technical field of warehouse logistics systems, in particular to an encircling type material box shuffling machine which comprises a machine frame and a controller installed in the machine frame, a driving assembly and a turnover assembly are installed on the machine frame, the output end of the driving assembly is fixed to the turnover assembly, a material box is arranged in the turnover assembly, and the turnover assembly is connected with the controller. A clamping assembly used for fixing the material box is arranged on the overturning assembly, and a clamping control assembly used for driving the clamping assembly is further arranged in the overturning assembly. According to the device, rapid and accurate clamping and overturning of the material box are achieved through an accurate controller instruction, in the process, automatic control over swing of the clamping jaw, rotation of the overturning assembly and starting and stopping of the motor is achieved, the links of manual operation are greatly reduced, the material processing speed is increased, the material processing efficiency is improved, and the labor intensity of workers is relieved. Meanwhile, the overturning shaft with the gravity center offset type rotating structure is adopted, small space can be occupied in the space layout, and the structure is simpler and more compact.

The invention provides a tcp data analysis processing method and device and a storage medium, and the method comprises the steps: obtaining a configuration parameter of a port of an access platform of Internet of Things equipment, and initializing the configuration parameter; when the port receives the tcp streaming data from the terminal equipment, reading a target protocol field in the tcp streaming data, and identifying a target tcp protocol of the tcp streaming data according to the target protocol field and the configuration parameters; analyzing the target tcp protocol to obtain protocol content; determining a target service logic processing class field of the target tcp protocol according to the configuration parameters; and according to the target service logic processing class field, exposing the service processing logic of the protocol content on the port in the form of a parent class interface. According to the method and the device, port multiplexing can be supported, port resource waste is avoided, and the problem of message omission or message processing error report caused by the situation that the tcp message cannot be correctly analyzed can also be avoided.

The invention discloses a gateway group for equipment management, an equipment management method and an equipment management device, and relates to the technical field of computers. Wherein the gateway group comprises a plurality of gateway devices, a device mapping table is stored in each of the plurality of gateway devices, the plurality of gateway devices comprise a first gateway device, and the first device mapping table stored in the first gateway device is used for indicating an intelligent device agented by the first gateway device; the plurality of gateway devices are used for receiving device messages respectively; and the first gateway equipment is used for processing the equipment message under the condition that the first equipment identifier is matched with the first equipment mapping table. On one hand, the equipment message received by the gateway group is processed by the plurality of gateway equipment in a labor division manner, so that the processing efficiency of the equipment message is improved, and on the other hand, each gateway equipment determines the equipment message needing to be processed by the gateway equipment in a mode of maintaining the equipment mapping table, so that the equipment message can be accurately processed, and the processing efficiency is improved. And the condition that the equipment message is wrongly processed or repeatedly processed is avoided.

The invention provides a network data asset affiliation identification method and system based on a stacking model, and relates to the technical field of network security. The method comprises the following steps: acquiring a network data asset data set comprising a plurality of network data asset samples; extracting a plurality of network features of the network data asset sample; constructing a plurality of base models; according to each network feature, determining a base classification result of each base model for the network data asset sample; determining the weight of each base model according to a base classification result; taking the output of each base model as the input of each channel of the multi-layer perceptron, taking the weight of each base model as the weight of the channel, and stacking the base models and the multi-layer perceptron to form a stacked model; determining a comprehensive classification result of the stacking model for the network data asset samples; obtaining to-be-identified network data assets; and determining a comprehensive classification result of the to-be-identified network data assets through the stacking model, and performing attribution identification on the to-be-identified network data assets.

The invention relates to the technical field of fastener surface machining, in particular to a fastener high-precision surface machining method based on image recognition, which comprises the following steps: finishing fastener thread machining by using a thread rolling machine; carrying out surface shot blasting treatment on the fastener; sampling and collecting a plurality of thread position images of the fastener after shot blasting to obtain the surface roughness and surface defect information of the thread after shot blasting; judging whether shot blasting treatment of the fastener meets a preset standard or not according to the shot blasting surface feature coefficient; the fastener is subjected to hot dip galvanizing treatment; performing a copper sulfate test to obtain a characteristic surface precipitation ratio of the fastener under a preset duration; judging whether the hot-dip galvanizing treatment of the fastener meets a preset standard or not according to the characteristic surface precipitation ratio; and surface oil coating and packaging are conducted on the fastener meeting the preset standard after hot-dip galvanizing treatment. According to the invention, the surface processing technology of the fastener is optimized through image recognition detection, and the quality of the fastener is improved.

The invention discloses a streaming hypertext content processing method, system and device and a storage medium, and relates to the field of data processing. In the method, data fragments of streaming hypertext content are continuously received until HTTP head information is completely obtained, and a hook point is triggered; on the hook point, calling a registered target plug-in to judge whether the streaming hypertext content needs to be subjected to customized modification or not according to the HTTP header information; when the streaming hypertext content needs to be subjected to customized modification, a customized modification condition is formed according to the target plug-in, and a target data fragment meeting the customized modification condition in the subsequently received data fragments is directly and correspondingly modified; and transmitting the modified data content as a new data fragment. By implementing the technical scheme provided by the invention, efficient and accurate streaming hypertext content customization processing can be realized.

The invention provides an instant depth acquisition method, a three-dimensional imaging method, equipment and a medium. The method comprises the following steps: acquiring a current-moment first point cloud frame of a to-be-acquired scene and a current-moment first image frame of the to-be-acquired scene; the first point cloud frame comprises first point cloud acquisition and a first depth map; the first image frame comprises a plurality of first target areas; the process of acquiring the point cloud acquisition at the next moment comprises the following steps: carrying out region adaptive scanning and global scanning on a scene to be acquired based on a plurality of first target regions of a first image frame, a first depth map and scanning angle resolutions set by different target regions; acquiring point cloud acquisition at the next moment; and acquiring a depth map at the next moment based on point cloud acquisition at the next moment. According to the method, on the basis of the point cloud and the image frame at the current moment, the point cloud collection and the depth map at the next moment can be obtained in real time, and real-time obtaining and processing of depth information are achieved.

The invention provides a data processing method, system and device, electronic equipment, a storage medium and a product, and the method comprises the steps: obtaining the eye movement tracking data of a user, and determining the visual field range of the user according to the eye movement tracking data; screening out at least one first imaging device from the plurality of imaging devices according to the field of view; the first imaging device is an imaging device in a visual field range; for any first imaging device, acquiring first reality image data acquired by the first imaging device; according to the first reality image data corresponding to each first imaging device, the target reality image is generated, unnecessary calculation and data processing are avoided, the utilization efficiency of system resources is optimized, and the data volume needing to be processed is reduced, so that the system delay is reduced, the overall performance is improved, and the fluency of user experience is ensured.

The invention relates to the field of sewage treatment, in particular to a ceramic membrane filtration sewage treatment system based on fine control, comprising: a sewage treatment module for collecting and purifying medical sewage discharged from each discharge end; the drainage monitoring module is used for monitoring the discharge characteristics of the to-be-treated sewage and determining the component action coefficient of the to-be-treated sewage according to the discharge characteristics so as to determine whether precipitation treatment is carried out or not in the pretreatment process; the monitoring analysis module is used for determining a sludge monitoring mode according to the sewage influence parameters and the component action coefficients; the sludge monitoring module is used for periodically monitoring the reaction state of the activated sludge according to the sludge monitoring mode; the sludge adjusting module is used for adjusting the state of activated sludge for treating the current sewage to be treated; the filtration adjusting module is used for adjusting the sewage flux in the membrane filtration process, and the operation stability of the sewage treatment system is guaranteed.

The present application discloses an efficient refining control method and system for animal fats and oils, and relates to the technical field of animal fat refining. The main technical scheme of the present application is: when the oil refining equipment executes the target process stage, the state parameters corresponding to the animal fats and oils are obtained, and the state parameters are used to characterize the parameters related to the quality of the fats and oils; according to the state parameters, it is judged whether the animal fats and oils meet the process switching standards corresponding to the target process stage, and the process switching standards are set according to the quality requirements corresponding to different process stages; if so, the oil refining equipment is controlled to execute the next process stage corresponding to the target process stage. The main purpose is to quickly and accurately switch the different process stages dynamically according to the quality of the animal fats and oils, so as to improve the refining efficiency of the animal fats and oils. The present application is used for efficient refining control of animal fats and oils.

The invention belongs to the technical field of ocean observation, and particularly relates to a real-time tide measurement method and system of a single Beidou height measurement buoy without a base station, and the method carries out buoy positioning and height measurement through a single Beidou navigation satellite without a shore-based reference station, thereby achieving high-precision tide real-time monitoring. The technology is widely applied to the fields of ocean tide monitoring, ocean dynamics research, ocean environment monitoring and early warning, ocean engineering and the like, and is particularly suitable for a sea area without a base station or far away from a shore base. By reducing the cost and improving the efficiency, the invention provides a reliable and low-cost solution for the marine monitoring system.

The invention relates to the technical field of data processing, in particular to an order data processing method and system based on a block chain. The method comprises the following steps: acquiring a multi-source order data set; performing transaction address analysis on the multi-source order data set to generate order transaction address data; order processing server construction is carried out on the multi-source order data through the order transaction address data, and order processing distribution server data is generated; order processing access frequency analysis is carried out on the multi-source order data set through order processing distribution server data, and order processing access frequency data is generated; and performing order screening on the multi-source order data set based on the order processing access frequency data to generate high-frequency order access data and low-frequency order access data. According to the invention, through optimization of multi-source data integration, order access frequency analysis, transaction synchronization and channel optimization, the reliability and efficiency of order transaction are improved.

The present invention relates to the technical field of extrusion molding equipment, and in particular to an extrusion molding device for a foamed plastic product, which comprises an inner core, a positioning tube, a first sleeve, a second sleeve and a first rubber outlet sleeve. The first rubber outlet sleeve is arranged at the outlet of a first extrusion channel, wherein the inner wall of the first rubber outlet sleeve contacts a filling layer, and the outer wall of the first rubber outlet sleeve contacts an epidermis layer. Under the action of a first fitting groove and a first fitting protrusion, a protrusion is formed on the outer surface of the expanded filling layer, and a groove is formed on the inner surface of the epidermis layer after cooling. The automatic expansion of the filling layer can make the protrusion on its own outer surface enter the groove on the inner surface of the epidermis layer, thereby increasing the bonding effect between the filling layer and the epidermis layer, preventing stratification between the filling layer and the epidermis layer, and further increasing the overall protective effect of the plastic fender.

The invention discloses a full-process visual monitoring and intelligent management method for a glass bracket production line, and relates to the technical field of industrial quality control, and the method comprises the steps: carrying out the continuous image collection of all stations of the glass bracket production line through an image collection unit, and constructing a full-process image data sequence; detecting the size of the glass bracket by using the qualified glass bracket size image database, and judging whether the size is abnormal or not; further performing defect detection on the glass bracket with the normal size, and determining whether an abnormal defect exists or not through pixel value difference analysis; and finally, summarizing the glass brackets with abnormal sizes or defects and related information thereof, and generating a visual quality report, so as to quickly position problems and optimize the production process. The comprehensive monitoring and intelligent management of the glass bracket production process are realized, and the production efficiency and the product quality are improved.

The present application belongs to the technical field of data analysis, and particularly relates to a high-throughput biosensing system for early warning of algal blooms and pathogens, which comprises multiple sampling units, a microfluidic chip with a multi-channel structure, and a high-throughput surface-enhanced Raman detection unit with an integrated metal nanostructure surface, and obtains the original surface-enhanced Raman spectrum of the water sample through a Raman spectrum acquisition mechanism. The system uses compressed spectrum sampling and sparse reconstruction methods to reduce the data volume and maintain the integrity of the spectrum information, constructs a pathogen Raman fingerprint dictionary through a dictionary learning method, and realizes the identification of different algal metabolites, algal toxins and pathogen-related molecular components and the concentration interval judgment thereof in combination with a sparse representation classification mechanism. Based on the type and concentration interval of the pathogens, the system further generates algal bloom risk warning and pathogen risk warning, and realizes early discovery of abnormal changes in the water body. The present application has significant advantages in stability, sensitivity, throughput and real-time performance.

The invention discloses an unmanned express delivery vehicle control system and method based on operation state perception, and relates to the field of unmanned express delivery vehicle control systems. The method comprises the following steps: acquiring vehicle-mounted data in a driving period through a vehicle-mounted sensor array, performing time alignment and validity marking on the vehicle-mounted data to obtain a data quality label, constructing an evidence item set based on the data quality label, generating a sub-portrait label set according to the evidence item set, and displaying the sub-portrait label set in the driving period. And generating a portrait parameter set based on the sub-portrait label set through a preset priority rule and a persistence judgment strategy. Although the scheme has excellent performance in the aspects of improving system adaptability, safety, dynamic decision-making capability, reviewable performance and resource utilization efficiency, the problems of sensor faults, data loss, real-time data processing bottleneck, label interpretation errors and the like may influence the real-time response and decision-making precision of the system in a complex or extreme environment. Therefore, the overall performance and stability are reduced, especially under the condition of high load or low signal.