411results 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 relates to a comprehensive recovery method of lithium iron phosphate black powder, and belongs to the technical field of lithium iron phosphate battery recovery. The technical problem to be solved by the invention is to provide the lithium iron phosphate black powder comprehensive recovery method. The method comprises the following steps: mixing lithium iron phosphate black powder with acid, and adding an oxidizing agent for reaction to obtain iron phosphorus slag; the iron phosphorus slag is subjected to acid pickling and then acid leaching to obtain secondary acid leaching liquid; and dropwise adding the secondary acid leaching solution into bottom water to generate a precipitate, and adjusting the molar ratio of phosphorus to iron or the molar ratio of phosphorus to (iron and manganese) to obtain battery-grade iron phosphate or ferromanganese phosphate. According to the method, alkali is not adopted as a precipitator, iron powder is not introduced, iron phosphate or the ferromanganese phosphate precursor is obtained through a normal-pressure one-step method, the problems that mixing is not uniform when the ferromanganese phosphate precursor is prepared through a solid-phase method, and alkali is needed as the precipitator or organic matter is introduced in a liquid-phase method are solved, use of alkaline chemical reagents and generation treatment of by-products are reduced, and the method is suitable for industrial production. The method has the advantages of simple process, low equipment use requirements, battery grade and high purity of the prepared product, improves the utilization rate of the phosphorus source, and has high yield.

The invention discloses an operation and maintenance platform data acquisition system based on big data, and relates to the technical field of big data, and the system comprises the steps: capturing a data packet from a network flow of an operation and maintenance platform, and storing the data packet in a buffer area; performing preliminary screening on the data packets in the buffer area, and allocating priorities for the data packets based on a dynamic weight scheduling mechanism to complete preliminary preprocessing of the data packets; based on a circular sorting and block optimization technology, distributing the plurality of decomposed analysis tasks to a plurality of threads for parallel processing; formatting the analysis result, and performing batch parallel processing according to the data scale of the analysis result; formatting the analyzed data, writing the formatted data into a time sequence database according to a time sequence, and generating an index based on the tag field; through a dynamic cache management mechanism, the cache size is dynamically adjusted according to the throughput and the maximum delay of the network flow, and the problems of data loss and processing delay are avoided.

The invention provides a zero sample image classification system and method, and the system comprises a teacher model and a student model which are the same in architecture, and each of the teacher model and the student model comprises a visual encoder, a semantic encoder, a visual-semantic alignment module and a zero sample classification module; a visual encoder of the teacher model is constructed in a manner of cascading a CNN (Convolutional Neural Network) and a Transform; selecting a BERT network as a semantic encoder of the teacher model; the visual-semantic alignment module is used for constructing a teacher model and a student model based on a cross-modal attention mechanism; a full connection layer is adopted as a zero sample classification module of the teacher model and the student model; a visual encoder of the student model is constructed by adopting a lightweight EnviroNet network; and a semantic encoder of the student model is constructed by adopting a Core-BER network. The method has the advantages that under zero sample setting, the high unseen category classification performance can be kept, meanwhile, the model complexity is reduced, and deployment on actual equipment is better facilitated.

The invention relates to the technical field of database establishment, in particular to an establishment method and system based on an aircraft aerodynamic model database. The method comprises the following steps: obtaining an aircraft pneumatic data storage demand and an aircraft pneumatic data query demand, and carrying out multi-level storage architecture design to obtain a basic data layer, a processing data layer and a high-level model data layer; the method comprises the following steps: collecting aircraft original aerodynamic data sets of wind tunnel experiments, flight tests and CFD numerical simulation, and transmitting and storing the aircraft original aerodynamic data sets to a basic data layer; carrying out aerodynamic load, flow field parameter and aerodynamic pressure distribution analysis on the original aerodynamic data set of the aircraft in the basic data layer, and transmitting and storing the aerodynamic load, flow field parameter and aerodynamic pressure distribution to the processing data layer; and carrying out aircraft aerodynamic model construction on the data in the processing data layer, transmitting and storing the data to a high-level model data layer, and carrying out R-tree multi-dimensional index connection to obtain an aircraft aerodynamic model multi-level storage database. According to the invention, an efficient and intelligent aerodynamic model database can be established.

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 provides a ceramic rigid-flex circuit substrate and a preparation method thereof, and the method comprises the specific steps: S1, cleaning a ceramic substrate, and arranging a brazing metal transition layer on the surface of the ceramic substrate; s2, low-melting-point brazing filler metal is sprayed to the surface of the brazing metal transition layer of the ceramic substrate, and a multi-layer flexible circuit board is attached to the surface, sprayed with the low-melting-point brazing filler metal, of the aluminum nitride ceramic substrate to obtain an attached plate; and S3, placing the laminated board in a vacuum or protective atmosphere for welding to obtain the ceramic rigid-flex circuit substrate. The ceramic substrate is adopted, the brazing metal transition layer is introduced to the surface of the ceramic substrate, the welding process of the flexible circuit board and the ceramic substrate is optimized, the problems that heat conduction is difficult, interface thermal resistance is large and uneven or bonding strength is insufficient are effectively solved, and the overall performance and quality of a product are 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 discloses a screen projection control method, electronic equipment and a storage medium, and belongs to the technical field of terminals. The method comprises the following steps: in response to a reverse control operation triggered by a user, establishing a reverse control channel with source end equipment; determining man-machine interaction data of the display end equipment under the condition that a reverse control channel is established between the display end equipment and the source end equipment; according to the data type corresponding to the man-machine interaction data and an input device, target man-machine interaction data is sent to the source end device, the target man-machine interaction data is used for reversely controlling a display interface of the source end device, and the input device is a device adopted by an input operation corresponding to the man-machine interaction data. In this way, the display end device can directly determine to output the target man-machine interaction data to the source end device based on the data type corresponding to the man-machine interaction data input by the user and the input device, recoding and repackaging processing on the man-machine interaction data is avoided, and therefore more convenient interaction experience is achieved.

The invention provides a zero sample image classification system and method, and the system comprises a visual feature extraction module which is used for obtaining image visual feature data according to an input unseen category image; the semantic information extraction module is used for obtaining image semantic information data according to the input text information corresponding to the unseen category image; the cross-modal feature fusion module is used for obtaining aligned visual-semantic feature data according to the input image visual feature data and image semantic information data; and the classification module is used for obtaining a classification result of the image category according to the input aligned visual-semantic feature data. Compared with the prior art, the method has the advantages that image information, auxiliary information and shared information between the image information and the auxiliary information can be better utilized, and under the setting of zero samples, the classification precision of visible categories can be kept at a high level, and the classification performance of unvisible categories can be effectively improved.

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 invention relates to the technical field of servers, and discloses a server, a communication control method, a communication method, equipment, a medium and a product, the server comprises a substrate management controller and a plurality of acceleration cards connected with a network switch, and the method is applied to the substrate management controller; the method comprises the following steps: receiving a first congestion detection result sent by a network switch; if it is determined that a first accelerator card with data congestion exists in the server according to the first congestion detection result, searching a second accelerator card without data congestion; and modifying a first data routing configuration pointing to the local in the first accelerator card into a second data routing configuration pointing to the second accelerator card, so that the first accelerator card sends data to be sent to the network switch to the second accelerator card based on the second data routing configuration, and sends the data to the network switch through the second accelerator card. The real-time performance of network congestion processing can be improved.

The invention discloses a passenger transport and freight GPS system and a road section speed limit threshold dynamic identification and adjustment method, and relates to the technical field of passenger transport and freight, and the system comprises a positioning module, a navigation module, a code module and a communication module. The positioning module is used for acquiring and providing geographic position information of a vehicle in real time; the navigation module is used for planning an optimal path according to the current position of the vehicle and providing deviation correction guidance when the vehicle deviates from the path; the code module is used for dynamically acquiring road section speed limit information and analyzing and adjusting a speed limit threshold value of a vehicle in real time; and the communication module exchanges data with an external navigation system in real time. According to the passenger transport and freight transport GPS system and the road section speed limit threshold value dynamic identification and adjustment method provided by the invention, rapid acquisition and accurate analysis of speed limit information are realized, the speed threshold value is dynamically adjusted, and acceleration and deceleration instructions are generated. A speed adjusting strategy is optimized, and driving safety and efficiency are ensured. And the virtual model verifies the instruction security, so that the risk caused by improper speed limit is effectively reduced.

The invention relates to the technical field of network security, in particular to an industrial control network security full-flow detection method, which comprises the following steps: acquiring industrial control network information, and determining a flow state according to the number of ports and a difficulty reference value; determining an abnormal influence value confirmation mode according to the flow fluctuation value and the flow reference value; the flow distribution mode determined according to the flow state is a combination distribution mode determined according to the pixel difference degree and the distribution difference degree, or a priority setting mode is determined according to the abnormal influence value, and the flow data is distributed according to the transmission influence coefficient; determining an abnormal judgment mode according to the protocol type; the transmission efficiency of the flow data can be ensured, and the potential safety hazard of the industrial control network is reduced.

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.

The invention relates to the field of preparation of silicon carbide micro powder, in particular to a preparation process of high-purity silicon carbide micro powder, which comprises the following steps: mixing silicon powder and carbon powder in proportion; the mixed raw materials generate silicon carbide in the heating chamber; cooling the silicon carbide; preliminarily grinding to obtain silicon carbide particles; purifying the silicon carbide particles; drying equipment is used for removing moisture in the silicon carbide particles, and the silicon carbide particles are finely ground into silicon carbide micro powder; judging the production quality according to the purity of the silicon carbide micro powder; and determining a corresponding mode for improving the purity of the silicon carbide according to the production quality. According to the method, the controllability of the purity of the prepared silicon carbide micro powder is improved through free carbon removal and acid pickling, and the production 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 discloses an omni-directional vibration energy collection device and an adjusting method thereof, and belongs to the technical field of energy collectors, and the omni-directional vibration energy collection device comprises a swing mechanism, a base plate, a matching block and four side plates. According to the invention, omnidirectional energy collection can be realized, and the complex structure caused by arraying unidirectional collectors along different directions and the difficulty brought by signal processing are avoided; under the action of the mass block, the supporting slender rod and the matching block, the bending deformation of the piezoelectric plate is greater than the deformation generated by only placing the side plate, and meanwhile, the defect of low torsional deformation voltage signal is avoided; the inherent frequency of the structure can be changed by adjusting the height of the supporting slender rod and the mass of the mass block, resonance with the excitation frequency is achieved, bending deformation of the piezoelectric plate is increased, and therefore piezoelectric voltage output is improved.

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 relates to the technical field of identification, management and control of loaded vehicles, in particular to an intelligent identification, management and control system for loaded vehicles based on image identification. Comprising a server, a stock analysis module, a loading distribution module, an image recognition module and a loading accumulation module, by analyzing the coal stock state of each loading point and the conveying value of the loading vehicle in real time, loading tasks can be scientifically and reasonably distributed, and distribution of the loading tasks is dynamically adjusted according to the emergency degree of the loading tasks, the requirements of the loading points and the current position of the vehicle; by detecting the coal pile height and the point cloud density of the vehicle-mounted coal pile, the uniformity and the compactness of the coal pile can be accurately judged, and if it is found that the coal pile of the loading vehicle is in a non-uniform state, coal leveling operation is triggered so as to ensure that the coal loading quality of each loading vehicle meets the requirement; automation of the loading quality detection process is achieved, the requirement for manual inspection is greatly reduced, and the loading process is more accurate and reliable.

The invention provides a data packet processing method and device and electronic equipment, and relates to the technical field of communication. The method comprises: receiving a first data packet, the first data packet comprising N layers of packet headers, N being a positive integer; a first packet header is determined, the first packet header is the Kth-layer packet header in the N-layer packet headers, and K is a positive integer and is smaller than N; and when the packet header of the first data packet is analyzed, the first packet header is analyzed. According to the invention, the problem that the time delay is relatively large in the current data packet processing mode can be solved.