221results about How to "Intelligent management" patented technology

The invention discloses an intelligent working place dust monitoring and early warning system. The system comprises a dust sensor module, a data processing and storage module, a wireless communication module, an alarm module and a visual interface. The dust sensor detects the dust concentration in the air in real time, dust with different particle sizes is included, the data processing module carries out concentration calculation, trend analysis and acceleration monitoring, and dynamic threshold adjustment and trend prediction are supported. The system has a multi-stage alarm function, and when the dust concentration reaches a preset threshold value, early warning signals with different intensities are triggered to remind a user to take protective measures in time. The system not only improves the real-time performance and accuracy of dust monitoring, but also has automatic learning and intelligent early warning functions, is suitable for various high-dust environments such as mines, construction sites, workshops and the like, and remarkably improves the safety management level of workplaces.

The invention discloses a campus smart canteen management platform based on AI and IOT. The campus intelligent canteen management platform comprises a global sensing system, an intelligent decision support system, a credible tracing system, a safety and supervision system and a user experience optimization system. The global sensing system is used for collecting multi-modal data and carrying out data fusion and preprocessing on the multi-modal data; the intelligent decision support system is used for performing multifunctional analysis on the fused and preprocessed multi-modal data to obtain a management decision; the credible traceability system is used for recording digital traceability information, storing reserved food samples and detecting pesticide residues in real time; the safety and supervision system is used for providing food reserved sample management, food quality event monitoring and analysis, supervision record management and parent applet functions; and the user experience optimization system is used for providing health inspection, health monitoring and personalized suggestions, identity verification and payment modes. In this way, the overall level of canteen management is improved.

The invention provides a digital office data synchronization and sharing method and system based on cloud computing, and relates to the technical field of cloud computing, and the method comprises the steps: building a distributed data synchronization system on a cloud computing platform, and detecting the change of digital office data on each terminal device through a real-time monitoring mechanism; when data change is detected, triggering an incremental synchronization algorithm, and only synchronizing the changed data part; historical version information of each data change is recorded by using a block chain-based distributed account book technology, and data version tracking and backtracking are realized; constructing a role-based access control system, and allocating data access permissions to different users; a real-time collaborative editing function is realized, and multiple users are allowed to edit the same digital office data at the same time; establishing a data sharing log system, and recording data access and operation behaviors of each user; and a machine learning algorithm is utilized to analyze a user behavior mode, and related digital office data is automatically recommended.

The invention discloses a power cable intelligent segmentation management method and system, and belongs to the field of power supply management, and the method comprises the steps: setting a first time sequence segmentation influence coefficient and a second time sequence segmentation influence coefficient, and building a dynamic decision node; acquiring cable layout information of a to-be-monitored power cable; configuring a backtracking time window, and establishing backtracking basic parameters of the power cable to be monitored; according to the backtracking basic parameters, adaptive analysis of balancing task requirements and balancing climate influences is carried out, and a first clustering constraint is generated based on an adaptive analysis result; and establishing a first clustering constraint according to the cable layout information, establishing a second clustering constraint according to the cable layout information, establishing a dynamic segmentation strategy according to the first clustering constraint, the second clustering constraint and the dynamic decision node, allocating an edge joint early warning network, and executing segmentation management based on the edge joint early warning network. A segmentation strategy is dynamically generated based on multi-dimensional data, precise and intelligent early warning and management of the power cable are realized, and the early warning response speed and accuracy are improved.

The invention belongs to the technical field of bridge damage identification, and relates to a bridge structure intelligent damage identification method based on a physical information neural network, which comprises the following steps: 1, acquiring spatial relation data of a bridge structure, 2, acquiring real-time data, 3, preprocessing the data after the data is acquired, 4, performing hyper-parameter adjustment, 5, constructing a model, 6, carrying out model training and evaluation; 7, carrying out early warning and repairing scheme matching; the health state of the bridge can be monitored in real time, data support can be provided for future maintenance and repair, the safety of the bridge is improved, and the service life of the bridge is prolonged; therefore, a novel efficient tool is provided for bridge health monitoring and damage assessment through a unique data and physical driving method, an efficient and intelligent bridge monitoring and assessment system is constructed, and the safety and maintenance efficiency of the bridge are improved.

The invention provides a network quality optimization method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining multi-dimensional real-time network operation data; based on the multi-dimensional real-time network operation data, training through a network quality evaluation model to obtain a real-time network quality evaluation result output by the network quality evaluation model; and dynamically performing network quality optimization based on the real-time network quality evaluation result. According to the network quality optimization method provided by the invention, the change trend of the network state is accurately perceived by acquiring the multi-dimensional real-time network operation data and utilizing the network quality evaluation model, so that the method can adapt to a complex and changeable network environment to realize accurate evaluation of the network quality, and the network quality is optimized based on the real-time network quality evaluation result. The network quality can be dynamically optimized, the efficient utilization and stability of network resources are ensured, and adaptive and intelligent network management is realized, so that the network operation cost is effectively reduced, and the network investment is saved.

The invention discloses an irrigation district water storage management and control system and a dynamic water storage management and control method for slope planting, and relates to the field of mountain water resource management and agricultural irrigation, and the irrigation district water storage management and control system comprises a server side which is used for deploying front and rear end codes, files, models and databases; the background management control platform is used for managing and controlling water storage stations, drip irrigation valves, soil moisture content information, crop planting information, crop fertilization information and data analysis related models in an irrigation area; the foreground statistical analysis platform is used for monitoring, analyzing and visually displaying the information in the irrigation area; and the mobile terminal management and control platform is used for checking the multi-dimensional information of the irrigation area in a portable manner and performing corresponding management and control. According to the method, the large-scale multi-point-position operation state is displayed in a partitioned, blocked and multi-dimensional manner by combining terrain and geographic information data, and the method can adapt to visual monitoring, management and control of irrigation areas in complex geographic environments such as slopes and the like.

The invention relates to a washing machine foam control method and device, a storage medium and laundry equipment. The method comprises the steps that an image in a drum is obtained; identifying a rate of growth of the foam within the cartridge based on the image; and executing a corresponding defoaming procedure based on the increasing speed of the foam in the cylinder. According to the technical scheme, the increasing speed of the foam in the washing machine drum is monitored in real time by obtaining the image in the drum. According to the method, the limitation that only foam height is concerned in the traditional technology is overcome, and the development trend and risk of foam can be predicted more accurately and timely, so that early warning can be performed in an earlier stage, and the problem of excessive foam is avoided. On the other hand, by tracking the increasing speed of the foam, the defoaming program can be adjusted according to the actual situation, too early or too late defoaming operation is avoided, the washing effect is guaranteed, and the service life of the machine is prolonged. More intelligent and efficient foam management is realized, and the washing process is optimized.

The invention discloses a foreign matter type identification method and system for power channel safety monitoring. The method comprises the following steps: acquiring a to-be-identified image for power channel safety monitoring; the image to be recognized is preprocessed; inputting the preprocessed to-be-recognized image into a pre-trained foreign matter type recognition model for recognition, and determining a recognition result; when it is determined that the foreign matter type with the hidden danger exists in the recognition result, the risk generated by the foreign matter is evaluated, and a target evaluation value is obtained; when it is determined that the assessment value is greater than or equal to a preset risk assessment threshold value, sending out an early warning prompt; the foreign matter type in the power channel can be timely and accurately identified, risk assessment is carried out on the foreign matter type with hidden danger, an early warning prompt is given out when the risk assessment value reaches or exceeds the threshold value, related personnel can be timely notified to carry out processing, and occurrence and expansion of potential danger are avoided.

The intelligent access control system based on automatic identification comprises an authority registration module and a temporary authorization module, the permission registration module comprises a registration authentication unit, a data checking unit and an authorization binding unit; the registration authentication unit records unauthorized and authenticated personnel as foreign personnel and records identity data of the foreign personnel; the data checking unit checks the identity information of the external personnel, and registers and records the identity information as temporary access personnel after the identity information passes; the authorization binding unit obtains information of foreign personnel and inputs the information into an authorization library of the identification system, and grants access authority to the foreign personnel; the temporary authorization module comprises a route prediction unit and a time checking unit; the route prediction unit predicts the route of the temporary access personnel, and the time checking unit predicts the residence time of the temporary access personnel and compares the residence time with the actual residence time so as to generate different signals. According to the invention, the access control management efficiency can be improved, and the waste of human resources is reduced.

The invention relates to the technical field of data storage management, in particular to a data management method and system for an automobile transaction platform. The method comprises the following steps: obtaining a to-be-stored data sequence corresponding to an automobile transaction platform, and carrying out index pair classification extraction and storage space limit quantification calculation to obtain a storage release memory space limit degree corresponding to each type of index field; performing sequence storage division on the corresponding to-be-stored data sequence to obtain a storage data sequence segment corresponding to each type of index field; obtaining a query access rate and a storage interval approach access degree of the corresponding sequence segment, and carrying out storage activity evaluation analysis and index storage priority measurement analysis to obtain an index storage priority measurement of each type of index fields for each sequence segment; and carrying out priority storage management on the corresponding storage data sequence segments. According to the invention, mass data in the automobile transaction platform can be managed efficiently and accurately, so that the storage process of the data is optimized.

The invention provides a video point location treatment method, and belongs to the technical field of video monitoring management, and the method comprises the steps: constructing and deploying a video point location treatment system management platform which is used for obtaining hardware information, point location information and video stream information of video equipment, and carrying out the standard description of the video equipment, distributing a unique identifier to each video device, wherein the point location information comprises latitude and longitude information; point location management and proofreading tasks are distributed to the user, and user permission is set; creating a point location attribute tag, and setting and managing according to a point location management verification rule; the point location governance verification rule comprises geographic information system double verification, spatial relation verification and time calibration. According to the method, precise treatment and efficient proofreading of the video point location data are realized, standardized sharing of the monitoring point location data is ensured, the quality of the video point location data is effectively improved, and the integrity, consistency and normalization of the data are ensured.

The invention provides a low-voltage communication demodulation platform, which relates to the technical field of communication and comprises a demodulation main system. The demodulation main system comprises a signal acquisition module, a data storage module, a clock management module, an interface module, a fault detection and recovery module, a protocol conversion module, a signal processing module, a frequency spectrum management module, a safety communication module, a power grid environment adaptation module and an intelligent demodulation module. The intelligent demodulation module realizes adaptive modulation identification and demodulation through a content convolutional neural network (CNN) and a support vector machine (SVM), the CNN is used for extracting features of carrier signals, and the SVM performs modulation mode classification; the intelligent demodulation module is combined with a Kalman filter through a generative adversarial network (GAN) to realize channel noise processing and enhancement, the GAN is used for generating a low-noise signal, and the Kalman filter further optimizes the signal quality.

The invention relates to a knowledge graph construction method and system for multi-modal cultivated land data. The method comprises the following steps: constructing a cultivated land protection field knowledge system; entities, relations and attributes are extracted and stored in a knowledge graph, corresponding description information is obtained and input into an incomplete multi-modal data fusion algorithm model based on deep semantic matching for data feature fusion, cultivated land data in different modals are mined, the knowledge graph is supplemented and adjusted, and the knowledge graph of the multi-modal cultivated land data is constructed. Entities, relationships and attributes are extracted and stored in the knowledge graph, so that the constructed knowledge graph can be ensured to be more accurate, the coverage field is wider, and the application of the knowledge graph is more diversified and accurate; data feature fusion is carried out in an incomplete multi-modal data fusion algorithm model, so that the heterogeneous problem in the knowledge graph is effectively solved; the cultivated land data in different modes are fully mined, and the knowledge graph can become more powerful in tasks such as self-complementation and intelligent question and answer.

The invention discloses a cable connecting device capable of being intelligently monitored. The corresponding ends of the cable connecting device are electrically connected with a power distribution room and a charging pile. The cable connecting device comprises a locking assembly, an indicating assembly, a humidity monitoring assembly, a temperature monitoring assembly, a current monitoring assembly, a connecting device plug and a power supply cable socket matched with the connecting plug, and the locking assembly is arranged on the connecting device plug and used for locking the connecting device plug; the indicating assemblies, the humidity monitoring assemblies, the temperature monitoring assemblies and the current monitoring assemblies are installed on the connecting device plug and the power supply cable socket. A novel cable connecting device is additionally arranged between the wire inlet front end of the molded case circuit breaker of the charging pile machine and the power distribution cable, so that the charging pile can provide charging service for customers at any position in the charging station, and the problems of charging queuing, fuel truck occupation, low utilization rate of charging facilities, waste of charging resources and the like are solved.

The invention relates to a remote intelligent shore power management system, and belongs to the technical field of shore power management, and the system comprises a data collection module which is used for obtaining the initial data of a shore power system in real time; the edge calculation module is used for cleaning and standardizing the initial data on an edge calculation node to obtain target data; the cloud decision module is used for performing power load prediction on the cloud based on the completely trained long-short term memory network model and the target data to obtain power load prediction data, and generating a regulation and control strategy based on the power load prediction data; and the execution module is used for regulating and controlling the shore power system based on the regulation and control strategy. The demand for transmitting data to the cloud is reduced through the edge computing module, network delay is reduced, parameter prediction and comprehensive analysis of the shore power system are performed through an intelligent algorithm trained in the cloud decision module, real-time data are converted into decision information to regulate and control the system, and efficient, safe and intelligent management is achieved.

The invention is suitable for the technical field of electric power detection, and provides an electric power detection method and device, and the method comprises the steps: obtaining first historical electric power data and second historical electric power data of a plurality of electric energy meters in a previous detection period and a current detection period; extracting a regular sudden change value and a time interval corresponding to the regular sudden change value from the second historical power data; and when the current sub-cycle is in the abrupt change time interval, the system dynamically adjusts the initial prediction power data according to the regular abrupt change value. And the finally obtained target prediction power data is used for planning and scheduling power generation equipment, so that the power system can perform intelligent management according to the power consumption condition of the user, thereby optimizing the power resource configuration and improving the power supply efficiency. In conclusion, according to the scheme, through accurate data analysis and a dynamic adjustment mechanism, the accuracy of power consumption prediction of the power consumer is remarkably improved, and the stability of a power system and the reliability of power supply are ensured.

The invention relates to the technical field of electric charging and fire-fighting monitoring, in particular to a fire-fighting linkage monitoring system for an electric bicycle charging station and a monitoring method thereof, and the monitoring system comprises the following functional modules: a platform convergence layer, a control analysis layer and a sensing acquisition layer; the system has the advantages that safety is improved, and the risk of fire disasters in the charging process of the electric bicycle is remarkably reduced through a real-time monitoring and quick response mechanism. Once a fire sign is detected, the system can quickly cut off a power supply and start a fire extinguishing program, so that the damage caused by the fire is reduced. Intelligent management: the integrated AI technology enables the fire extinguishing system to intelligently identify and respond to the fire situation, and the management efficiency is improved. And remote monitoring capability: the fire-fighting state of the charging station is allowed to be remotely monitored, and the safety and management efficiency of the charging station are enhanced. And continuous performance optimization: the system has self-learning and updating capabilities, and can continuously optimize fire identification and response strategies.

The invention discloses a flow table aging method based on a RoCEv2 message and an application thereof. The method comprises the following steps: extracting a Remote QPN field of a RoCEv2 disconnection request message; the Remote QPN field is used as a key identifier, and flow table information is looked up; and if the Remote QPN field is matched with a destination queue pair field of a flow table entry in the flow table, deleting the flow table entry so as to realize the flow table aging of the RoCEv2 message. According to the RoCEv2 message-based flow table aging method and the application thereof provided by the invention, after the RoCEv2 disconnection request message is received, the disconnection of a certain connection can be accurately judged by analyzing the key field in the message, and the aging operation of the flow table is directly triggered; according to the method, the flow table is aged based on the actual network event instead of depending on a fixed timeout mechanism, so that the management of the flow table is more intelligent and dynamic, resource occupation is reduced, and the overall processing efficiency of the system is improved.

The invention belongs to the technical field of cable harness manufacturing, and discloses a visual auxiliary manufacturing platform and method for cable assembly, and the platform comprises a station operation platform, a small RFID tool cabinet, a large RFID tool cabinet, a station terminal, a secondary central control terminal, and a code scanner. The station operation platforms are provided with workbenches for cable assembly, the secondary central control terminal is connected with the station terminals of the plurality of station operation platforms, each station terminal comprises a display and a host, and the displays provide input, management and display of tools, tasks and parts for operators; the secondary central control terminal provides a dispatch task for the station terminal, and monitors the use of tools, the progress of the task and the consumption of parts through the station terminal; the ID is used for acquiring information of tools and parts; the large RFID tool cabinet is commonly used by a plurality of station operation platforms. A digital technical means and an intensive production mode are adopted, automatic and informationized technological equipment is fused, the technological content of aviation cable manufacturing is improved, and human influence factors are reduced.

The invention discloses an intelligent management system for an exhibition hall, and the system comprises an information management system which is used for building a perfect information management system, achieving the centralized management and sharing of all kinds of information in the exhibition hall, and carrying out the real-time monitoring and analysis of the operation data of the exhibition hall through the system; the intelligent guide system provides real-time exhibition hall guide service for visitors by using a mobile phone APP and touch screen equipment; behavior data of visitors are collected and analyzed through the system, and suggestions for optimizing exhibition layout and service quality are provided for exhibition hall managers; the intelligent service is realized, self-service consultation, guide and explanation services are provided for visitors by utilizing a robot technology, and online booking, payment and verification of tickets are realized through an intelligent ticketing system, and the intelligent management system has the beneficial effects that comprehensive, efficient and intelligent management is carried out on the exhibition hall by utilizing an advanced technical means in the intelligent management of the exhibition hall; the management efficiency is improved, the visiting experience is improved, and sustainable development is promoted.

The invention discloses a security policy identification analysis method and system based on an LLM power monitoring system. The method comprises the following steps: respectively and automatically acquiring network routing information and security policy information of SSH and Web type equipment by using an intelligent acquisition strategy through an SSH interface and a Web interface; performing association analysis on all network routing information and security policy information by using a graph data method; and based on the association analysis result of the routing information and the security policy information, automatically generating a network security policy optimization suggestion by using an LLM model. According to the scheme, the LLM model is used for identifying the security policy, and the optimization suggestion is generated in combination with the network information.

The invention belongs to the field of automobile shock absorber bearing detection, and discloses an automobile shock absorber bearing finished product multi-azimuth detection system which comprises a conveyor belt, an industrial personal computer is arranged on one side of the conveyor belt, and an outer diameter surface detection mechanism, an upper end face detection mechanism and a lower end face detection mechanism are sequentially arranged on a support of the conveyor belt. The outer diameter surface detection mechanism is used for detecting the outer diameter surface appearance quality of the automobile shock absorber bearing, the upper end face detection mechanism is used for detecting the upper end face appearance quality of the automobile shock absorber bearing, and the lower end face detection mechanism is used for detecting the lower end face appearance quality of the automobile shock absorber bearing. The system is provided with the outer diameter surface detection mechanism, the upper end surface detection mechanism and the lower end surface detection mechanism, so that the appearance quality of the outer diameter surface, the upper end surface and the lower end surface of the automobile shock absorber bearing can be comprehensively detected. Through multi-directional detection, various defects on the surface of the bearing can be found in time.

The invention belongs to the technical field of water-saving irrigation control, and particularly relates to a crop-energy collaborative high-standard farmland irrigation and drainage intelligent management and control method and a crop-energy collaborative high-standard farmland irrigation and drainage intelligent management and control system. The high-standard farmland irrigation and drainage information measurement and control system based on low-voltage power line high-speed carrier communication achieves collection of information such as field water level and pump station operation energy consumption, irrigation amount prediction information is obtained according to the field water level, energy consumption of each pump station is predicted in combination with a pump station energy consumption module, a regional pump station node energy consumption distribution diagram is established, and the energy consumption of each pump station node is calculated. And scheduling the operation time of each pump station by taking the irrigation requirement and the energy consumption balance as targets. By means of the method, water-saving irrigation control over high-standard farmland is achieved, the influence of simultaneous operation of the pump station groups on the power grid is reduced while the requirement for crop growth is met, and the stability and stability of operation of the power grid are improved.

The invention provides a dam monitoring and early warning system based on cloud data, relates to the technical field of dam monitoring and early warning, and aims to perform key monitoring on a high-risk area in a targeted manner by integrating historical data analysis, risk level quantification, scientific early warning threshold setting, data acquisition strategy optimization and a real-time monitoring and quick response mechanism. Monitoring resources are reasonably distributed, operation cost is reduced, intelligent data collection and management are achieved, an automatic multi-stage early warning mechanism is arranged, early warning accuracy and timeliness are improved, safety management and maintenance strategies are optimized, the dam safety management level is improved, potential safety threats are reduced, and the system has good application prospects. And the overall emergency response capability and the disaster prevention and control effect are improved.

The invention provides a distributed new energy meteorological data management method and system, and relates to the technical field of data management, and the method comprises the steps: receiving a new energy meteorological data management request through a user side; determining an associated meteorological index according to the distributed new energy type; according to the associated meteorological indexes, a communication intelligent acquisition terminal obtains future time zone meteorological monitoring information of the distributed new energy deployment position; and predicting future time zone generating capacity of the distributed new energy according to the generating capacity predictor, and sending the future time zone generating capacity to the user side. The technical problem that in the prior art, a new energy meteorological station lacks an intelligent analysis means, the power generation rate cannot be quantitatively predicted in advance, and new energy meteorological data management is poor is solved. The technical effects that the meteorological mode is automatically recognized by building the model, the new energy power generation potential is predicted, and efficient, fine and intelligent management of the new energy meteorological data is ensured are achieved.

The invention discloses a livestock farm inspection robot autonomous inspection system and method based on reinforcement learning, and relates to the technical field of livestock health management. Comprising the following steps: constructing a plurality of farm environment maps by an inspection robot, dividing a virtual inspectable area, obtaining environment data, receiving real-time position information of a livestock positioning collar, obtaining historical position data of livestock, establishing a trajectory analysis model, and obtaining livestock trajectory analysis data to generate a trajectory prediction model; a livestock activity area in a specific time period is predicted, a to-be-inspected area is determined based on the livestock activity area and the real-time position information, and the inspection robot determines and constructs a learning reinforcement model to optimize an inspection path according to the number, distance and time of livestock in the to-be-inspected area and detects the physical condition of the livestock. And the livestock health condition is determined based on the livestock physical condition and the livestock track analysis data, and the information is uploaded to the cloud server. According to the invention, efficient, fine and intelligent farm management can be realized.

The invention relates to the technical field of data analysis and prediction, in particular to an in-park tourist monitoring and predicting method and system based on multi-modal data analysis, and discloses a scenic spot in-park tourist number real-time monitoring and predicting method based on fusion of different-modal data analysis and multi-model integration. According to the invention, on the basis of a neural network technology, multi-modal data such as signaling data, traffic checkpoints, video monitoring, scenic area wifi-hotspot and weather data are taken as basic data, and a multi-model fusion prediction technology is combined, so that real-time in-park passenger flow detection and prediction of the scenic area are realized. The method integrates more passenger flow influence factors and the like, is more accurate and scientific than a traditional data superposition calculation method, is low in implementation cost, and has high generalization performance.

The invention belongs to the field of devices for high-power fiber lasers, particularly relates to a long-period fiber grating capable of dynamically suppressing stimulated Raman scattering of different wavelengths and a suppression method, and aims to solve the problem that the stimulated Raman scattering effect under different wavelengths cannot be dynamically adapted and suppressed. A pumping source is connected with one end of a beam combiner, the other end of the beam combiner is connected with one end of a resonant cavity, the other end of the resonant cavity is connected with one end of a long-period fiber bragg grating, the other end of the long-period fiber bragg grating is connected with one end of a stripper, the other end of the stripper is connected with an output end, and the output end is connected with a spectrograph. Wherein the resonant cavity is used for oscillating and amplifying spontaneous radiation light with a set wavelength; the two ends of the long-period fiber grating are fixed to the stress field applying device, and the long-period fiber grating is arranged in the temperature field applying device. According to the invention, stimulated Raman scattering of different wavelengths is effectively inhibited, the output power, the beam quality and the system stability of the laser are improved, and the service life is prolonged.

The invention relates to the field of data processing, in particular to an intelligent data acquisition method and system for an industrial edge gateway, and the method comprises the steps: obtaining industrial data of each industrial device, carrying out the preprocessing, and carrying out the data compression through employing an LZ78 algorithm, and obtaining a compression result; meanwhile, performing statistics on equipment parameters and data volume of the edge gateway, and calculating data acquisition pressure of the edge gateway and data acquisition burden indexes of various types of equipment; and according to the data acquisition burden index of each device and the compression result of each device, adjusting the data acquisition frequency, and performing data acquisition on the device accessed by the edge gateway at the adjusted acquisition frequency. According to the invention, the data acquisition frequency is dynamically adjusted, and the data flow is intelligently managed according to the data acquisition burden index and the compression result, so that unnecessary data transmission is reduced, and the consumption of network bandwidth and storage resources is reduced.