307 results about "Operations security" patented technology

The invention relates to the technical field of abnormal monitoring of water-turbine generator sets, in particular to an abnormal monitoring system and method for a water-turbine generator set, and the system comprises a sensor module, an edge computing node, a cloud analysis platform and a scheduling decision center. The edge computing node performs data preprocessing, the cloud analysis platform realizes accurate early warning by applying technologies such as multi-source data fusion, a dynamic early warning model library and adaptive threshold adjustment, the scheduling decision center optimizes scheduling decisions through a resource matching engine and an emergency plan generation module, and the industrial communication network guarantees reliable transmission of data. In addition, the system is also provided with a visual interaction interface and a state evaluation report generation module. According to the invention, comprehensive and accurate monitoring and intelligent early warning of the water-turbine generator set are realized, the fault processing efficiency is effectively improved, the probability of false alarm and missing alarm is reduced, resource allocation is optimized, the operation safety is enhanced, and a powerful guarantee is provided for stable operation of the water-turbine generator set.

The invention discloses an intelligent operation and maintenance method and system based on an MCP protocol, and belongs to the crossing field of artificial intelligence and operation and maintenance automation. The system comprises an AI Agent module, a central intelligent analysis engine module, a man-machine interaction module and a safety control module. The method comprises the following steps: collecting system operation data in real time through an AI Agent module, and packaging the system operation data into an MCP protocol format; the central intelligent analysis engine module predicts the load based on an LSTM model, and generates operation and maintenance decision suggestions in combination with log anomaly recognition and reinforcement learning; the man-machine interaction module realizes understanding of user input through a natural language large model, automatically converts the user input into an MCP instruction, and supports multiple rounds of interaction confirmation and instruction verification; the safety control module provides an MCP operation sandbox and semantic instruction verification, and the operation safety is guaranteed. The system can dynamically schedule resources and automatically dispose faults, realizes that non-technical personnel can execute complex operation and maintenance operations, and is suitable for application scenes with high reliability requirements, such as industrial data acquisition and chemical engineering.

The invention relates to the technical field of metering pumps, in particular to an external meshing gear metering pump flow calculation method based on linear regression and curve fitting, which comprises the following steps: generating an integrated data set by monitoring the flow rate, pressure, temperature and viscosity in real time, setting flow rate, pressure and temperature thresholds based on the data set, judging the flow state and recording abnormity, and calculating the flow rate of the external meshing gear metering pump. Flow velocity and viscosity are selected for flow calculation, a corrected flow value is generated, whether flow is normal or not is analyzed and determined, a flow stability evaluation result is generated, and a visual interface is created to display parameters and a calculation result. According to the method, the multiple sensors are installed at the inlet and the outlet of the metering pump, the flow speed, the pressure, the temperature and the viscosity are monitored in real time, an integrated data set provides a precise basis for flow calculation, a threshold value is set, data are monitored, it is ensured that parameters exceeding the normal range can be recorded and analyzed in time, and the process improves the accuracy of flow calculation and improves the working efficiency. And flow evaluation is optimized, and the operation safety and efficiency are improved.

The invention relates to the technical field of security monitoring, in particular to an intelligent all-in-one machine operation security monitoring method and system, and the method comprises the following steps: obtaining an operating system log and an application program log, integrating the logs into a comprehensive data stream, judging the security risk level of the comprehensive data stream, obtaining a primary risk assessment result, and obtaining a secondary risk assessment result; and adjusting intrusion detection sensitivity and an access control list of the firewall according to the primary risk assessment result to obtain dynamic security policy configuration. In the invention, the dynamic security policy configuration enables the security system to automatically adjust according to real-time analysis, such as firewall setting and access control, so as to quickly cope with a changing threat environment. The strategy not only improves the adaptability of defense measures, but also optimizes the use efficiency of system resources. Furthermore, behaviors which do not conform to a normal mode can be identified and predicted through analysis of the comprehensive data stream, and the prediction capability of potential threats is enhanced.

The invention relates to the technical field of authority control, in particular to a Bluetooth-based operation and maintenance authority control system, which comprises a Bluetooth link identification module, a task risk assessment module, an authority adaptation decision module, a task path verification module and an execution consistency verification module. By acquiring the Bluetooth communication address and the channel number and combining the hopping frequency and the stability, the link security state identification is realized, the communication legality judgment precision is improved, the task risk is evaluated by introducing the equipment performance and the communication parameters, the bearing capacity judgment precision is improved, the permission level, the execution frequency and the historical success rate are combined, and the reliability of the system is improved. The permission matching state is dynamically verified, and the task success rate is optimized. Relay node addresses are compared with declaration path structure consistency, accurate and reliable paths are ensured, execution environments are verified according to device roles and instruction contents, instruction execution feasibility judgment is enhanced, all links are compared based on real-time data and structures, task whole-process closed-loop control is formed, and operation safety and decision accuracy are improved.

The invention provides an experiment task execution method and device.The method comprises the steps that task information of a target experiment task is divided based on a visual language model, a subtask sequence is obtained, and the subtask sequence is formed by arranging multiple subtasks from front to back according to the execution sequence; processing the text information corresponding to the current sub-task and the experiment image before the current sub-task is executed through the visual language model from the first sub-task in the sub-task sequence to obtain a visual prompt image, and executing the visual prompt image through a visual language action model. And processing based on the text information, the experiment image and the visual prompt image, guiding a robot to execute the current sub-task until the last sub-task in the sub-task sequence is completed, and determining that the target experiment task is completed. According to the method, the success rate, the operation safety and the regulation compliance of the experiment task are effectively improved, and the method has high universality and safety.

The invention discloses a method and a system for generating a typical operation order of a transformer substation, and particularly relates to the technical field of transformer substations. By monitoring real-time working condition data of equipment and combining trend analysis of historical data, the system can predict a planned working condition of the equipment, and comparison between the real-time data and predicted data is used for identifying abnormal equipment; judging whether a lag risk exists or not by using a state lag detection algorithm; if the risk is detected, the equipment state and the delay of the operation order are comprehensively analyzed through fuzzy logic to ensure the accuracy of information when the operation order is generated, and if lagging information does not exist, the operation order is directly submitted to be executed; and if lagging exists, the system synchronizes the latest working condition, evaluates the accuracy of the operation order, and determines whether to generate a new operation order or pause the operation according to an evaluation result, so that the operation safety and accuracy are ensured.

The invention is suitable for the field of computer vision and robot control, and provides a positioning method and system based on visual perception, and the method comprises the steps: receiving the definition information of a target workpiece, and positioning a space region in initial visual scene data; light and shadow interference is separated, and intrinsic visual features of the workpiece are restored; constructing a scene digital twinborn model based on the intrinsic features and physical simulation; generating a grabbing option with a priority and a dynamic confidence coefficient; identifying a key shelter removal option; and iteratively executing the removal operation until the target is grabbed. The system comprises corresponding function modules. The positioning precision and the operation safety are improved, the method is suitable for dynamic stacking scenes, target workpiece positioning and grabbing are efficiently achieved, and the method is suitable for multi-field automatic operation.

The invention discloses a power plant 6kV switch operation device and an operation system thereof, and relates to the field of switch operation, and the power plant 6kV switch operation device specifically comprises a state monitoring module used for obtaining image data and mechanical connection part signal data and carrying out state analysis and preprocessing to obtain standardized state data, and a remote control module used for controlling the state monitoring module and the remote control module. And the control module is used for analyzing the standardized state data to form control parameters, analyzing execution satisfaction conditions through an analyzer based on the obtained control parameters, generating operation parameters, and performing state monitoring and remote control through integrating state monitoring, remote control, mechanical arm positioning, grabbing action, limiting nodes, operation interlocking and state feedback modules. The full-process intelligent control from state collection, instruction analysis to operation execution is realized, the real-time state of the switch trolley can be accurately obtained, control parameters are dynamically generated and optimized, high-precision operation of the mechanical arm and the grabbing device is ensured, meanwhile, state conflicts are avoided through an interlocking rule, and the safety of the switch trolley is improved. And the operation safety, stability and efficiency are improved by combining a comprehensive state feedback function.

The invention discloses an intelligent parking lot vehicle monitoring system, and belongs to the technical field of parking lot vehicle management. Comprising a vehicle end, and the vehicle end is connected with an intelligent monitoring platform. The vehicle end comprises a vehicle running state information acquisition module, an AI intelligent early warning module and an active braking module; the intelligent monitoring platform comprises a real-time monitoring module, a data processing module and a remote control module. Through the Internet of Things, big data and AI technologies, all-weather monitoring, data analysis and abnormal early warning of the vehicle are realized; through the active brake module and the passive infrared detector, the safety performance of the equipment in emergency is enhanced, and automatic deceleration or emergency stop can be realized to avoid accidents; the active braking module assists operators, the influence of the environment and dense personnel on operation is reduced, and the operation safety and stability are improved. And meanwhile, intelligent scheduling is supported, vehicle operation is optimized, and the empty driving rate is reduced. A mobile terminal management function enables a manager to master the dynamic state of a field at any time and efficiently deal with emergencies.

The invention discloses a content verification method and system based on LLM security protection, and the method comprises the steps: determining to-be-examined data from all data corresponding to LLM security protection, and carrying out the preliminary examination operation of the to-be-examined data based on a predetermined examination mechanism, and obtaining a preliminary examination result; and according to a predetermined target analysis algorithm and a data review strategy, executing a data verification operation on the preliminary review result to obtain a data verification result corresponding to the to-be-reviewed data. It can be seen that the data of the LLM safety protection system can be intelligently verified, the accuracy and reliability of data verification can be improved, and the operation safety of the LLM safety protection system can be further improved.

The invention discloses a service system and method based on an unmanned aerial vehicle, the service system comprises a support platform, a unified management and control and service platform and a business platform, the support platform is used for providing basic data and a data processing module; the unified management and control and service platform is used for providing functional modules and open capability services of the unmanned aerial vehicle, the open capability services are determined according to the functional modules, and the business platform is used for providing business application scenes of the unmanned aerial vehicle. According to the embodiment of the invention, unified management and control, resource sharing and deep integration with services of the unmanned aerial vehicles can be realized; and meanwhile, data security and operation security are effectively guaranteed, and cost reduction and benefit increase are realized.

Disclosed are apparatuses, systems, and techniques for adaptable provisioning of accurate and flexible assessments of safety of AI operations. The techniques include performing a probabilistic selection of a safeguard model, from an ensemble of safeguard models, to generate a safety assessment of a prompt to a language model, likelihood of the probabilistic selection being determined using historical performance of the ensemble of safeguard models.

The embodiment of the invention provides a molten iron blending control system and method after blast furnace reblowing. The system comprises a molten iron monitoring subsystem, an iron blending control subsystem, an intelligent scheduling subsystem and a central processing unit. The central processing unit receives slag content associated data detected by the molten iron monitoring subsystem, monitoring parameters collected by the iron blending control subsystem and production associated information collected by the intelligent scheduling subsystem and inputs the slag content associated data into a slag content monitoring model so as to obtain slag content information through a machine learning algorithm. And first early warning information is generated according to the slag content information and the control reference data. And the iron blending speed and the iron blending angle in the iron blending process parameters can be calculated according to the monitoring parameters, the slag content information and the control reference data. And according to the production associated information and the iron exchange process parameters, an optimal iron exchange plan is generated by using an operational research algorithm. According to the system, the operation safety and the production efficiency can be improved through cooperation of a plurality of subsystems.

The invention provides a multi-protection method and system for a storage medium destroying machine, and relates to the technical field of data security, the method comprises the following steps: a storage medium enters a destroying cabin, the unique identification information of the storage medium is read, and the unique identification information is compared with a preset authorization database for verification; creating a dynamic safety area; operator identity confirmation, external authorization confirmation and storage medium state confirmation are executed, and when the triple authentication is passed, destruction operation is executed; activating a multi-source sensor to perform data acquisition; sending the multi-modal sensing data to an abnormity authentication channel; the multi-protection of destruction is carried out according to the destruction encryption abstract, the one-time destruction pass code and the multi-mode sensing data. According to the method and the device, the technical problem that in the prior art, due to incomplete trust chains and black boxed process verification, leakage risks exist before and after the storage medium is destroyed, auditing results are incredible, and the safety of destroying operation is affected is solved, and the safety of destroying operation is improved through multiple protections.

The invention relates to the field of special equipment safety management, and discloses a special equipment intelligent control method and system based on the Internet of Things. The method comprises the following steps: acquiring a facial image and fingerprint data of an operator through an industrial Internet of Things sensor, and matching by combining a preset biological recognition template to obtain preliminary verification information; personnel qualification grades and historical operation records are called from a database, and a comprehensive qualification score is determined through random forest algorithm processing; acquiring temperature and pressure parameters of the equipment in real time, and marking abnormity to generate a state label if the parameters exceed threshold values after detection; based on the state tag and the qualification score, verifying identity authenticity in a multi-dimensional manner, matching equipment operation qualification requirements, generating a matching degree, generating a temporary permission token when the matching degree reaches the standard, and otherwise, refusing to access; and the token is encrypted and transmitted to the equipment control module, and the operation range is adjusted in real time to complete dynamic permission configuration. According to the method, accurate authority control is realized, the operation safety and management efficiency of the special equipment are improved, and guarantee is provided for safe operation of industrial production.

The invention provides an unmanned loader control method and system, a loader and a medium, and relates to the technical field of engineering machinery. The method comprises the following steps: acquiring current state data of the unmanned loader, wherein the current state data comprises operation image data acquired by a camera of the unmanned loader and loader body data acquired by a sensor; determining a corresponding first state vector according to the current state data, and inputting the first state vector into a pre-trained human in-the-loop reinforcement learning model to obtain an execution action of the unmanned loader at the next moment; and outputting a corresponding control signal according to the execution action to drive the unmanned loader to execute, and performing parameter optimization on the human in-the-loop reinforcement learning model according to the execution action and the intervention action input by the human. According to the method, the automation, the working efficiency and the operation safety of loading operation are improved.

The invention discloses a space robot compliance control method and device based on multi-dimensional visual constraints, and belongs to the technical field of space robots and autonomous control. The method comprises the following steps: collecting and fusing data through a heterogeneous visual sensor group, and carrying out uncertainty quantification to generate a perception confidence index; constructing and dynamically adjusting a visual constraint function set based on the index, solving a motion feasible region according to the visual constraint function set, and generating an expected motion track; inputting the track into an impedance controller, and adjusting the rigidity and damping parameters in real time according to the sensing confidence so as to output an instruction; the instruction is verified through digital twin simulation, and if the instruction does not pass the verification, a fault-tolerant mechanism is triggered for optimization; and finally, updating the system parameters on line according to the deviation between the actual execution data and the simulation data. According to the method, the technical problems of poor operation safety, low control precision and insufficient autonomy of the space robot in a complex environment caused by single sensing information dimension, lack of uncertainty quantization and fixed control strategy are solved.

The invention discloses a self-adaptive pipetting system and method based on multi-mode sensing fusion. The system comprises a PLC (Programmable Logic Controller), a fusion multi-mode sensing module, a high-throughput execution module, a self-adaptive protocol matching module and a man-machine interaction module. According to the invention, through multi-channel cooperation and continuous transmission, the experiment efficiency is greatly improved; multi-modal sensing data are fused, and real-time closed-loop control and dynamic compensation are performed by adopting algorithms such as fuzzy PID (Proportion Integration Differentiation) and the like, so that the pipetting volume precision reaches + / -1%, and the repeatability is improved by 20-30%; a protocol feature library and an intelligent matching algorithm are built in, and experimental parameters can be automatically analyzed, matched and optimized; equipment state and process parameters are monitored in real time, faults and pollution risks are automatically early warned, and the operation safety and reliability are remarkably improved in combination with automatic anti-pollution design; a PLC is deeply fused with a sensing module and a decision module, a sensing-decision-execution intelligent closed loop is constructed, and an accurate and reliable integrated solution is provided for automatic pipetting.

The invention provides an omni-directional explosive shock wave pressure testing system and method, the testing system comprises a plurality of testing devices, the testing devices are distributed in a to-be-tested area and establish wireless communication with a terminal, the terminal is connected with a display, the testing devices are small in size and simple in structure, and the testing devices are convenient to use. The size, the weight and the cost of the device can be greatly reduced, field installation and operation are facilitated, operation safety is improved through wireless data transmission, a large amount of field wiring is omitted, at most 20 testing devices can be connected through a terminal, manpower and material resources are greatly saved, the networking capacity of the device is improved, simultaneous measurement and data return of multiple devices are ensured, and the testing efficiency is improved. Different distribution can be performed according to different explosive shock wave test ranges, so that a more accurate shock wave pressure distribution diagram can be obtained.

The invention provides a manipulator false impact control method and system based on a vibration sensor, and relates to the technical field of intelligent control, and the method comprises the following steps: extracting real-time amplitude and frequency data corresponding to a manipulator according to a current state; calculating relative deviation between the real-time amplitude and frequency data and a preset reference value, wherein the relative deviation comprises amplitude relative deviation and frequency relative deviation; according to the relative deviation and a preset deviation threshold value, whether abnormal collision exists in the state of the mechanical arm or not is judged, and a judgment result is obtained; and according to the judgment result, a corresponding control instruction is sent to the manipulator, so that the manipulator moves according to the corresponding control instruction. By monitoring the amplitude and frequency data of the manipulator in real time, whether abnormal collision exists or not is accurately judged, the corresponding control instruction is sent to the manipulator according to the abnormal collision, and the operation safety and the intelligent level of the manipulator are effectively improved.

The invention discloses an intelligent integrated 10-kilovolt circuit breaker, and relates to the technical field of circuit breakers, the intelligent integrated 10-kilovolt circuit breaker comprises a mechanism box, a control box is arranged in the mechanism box, the control box comprises an Internet of Things module and an edge calculation unit, temperature sensors are arranged on the left side and the right side of the control box, and a first transmission rod is horizontally arranged in the middle of the interior of the mechanism box; limiting boxes are fixedly installed on the left side and the right side in the mechanism box, limiting rollers are arranged on the outer sides of the limiting boxes, a second transmission rod is horizontally arranged on the rear portion of the outer side of the mechanism box, and the second transmission rod rotates to drive the isolation switch to form a rotating structure. The intelligent integrated 10-kilovolt circuit breaker intelligent early warning system can pre-judge faults in advance, the operation and maintenance cost is reduced, the remote control response time is shortened, the problems that traditional equipment is insufficient in intelligence and inconvenient to maintain are solved, the system is suitable for intelligent operation and maintenance of a power distribution network, and the reliability and operation safety of the power distribution network are remarkably improved.

The invention discloses a loader remote intelligent control system based on multi-network fusion and modular design, and relates to the technical field of loader remote control, and the loader remote intelligent control system comprises an equipment end, a remote control end and a cloud server end; the equipment end comprises the following hardware modules: a hardware sensing module which comprises a multi-type sensor array and a data acquisition unit and realizes real-time acquisition of mechanical parameters, environmental parameters and attitude data; and the main control processing module integrates a CPU (Central Processing Unit) and an FPGA (Field Programmable Gate Array) acceleration unit, is internally provided with a QNX real-time operating system, and is used for data preprocessing, control logic execution and hardware drive management. Through a remote intelligent control scheme, an operator can operate and control equipment in a safe area, the operation safety is improved, the operability and flexibility of the equipment are enhanced, modular design is adopted to facilitate installation, maintenance and rapid deployment, and a multi-network fusion architecture ensures stable data transmission in different environments; the low-delay and accurate control technology realizes the undifferentiated response speed of remote control and field operation.

The invention relates to the technical field of official document exchange, and discloses an intelligent voice interaction official document exchange system based on a large model and a man-machine conversation control method, and the system comprises a confidential document management subsystem which is used for the transmitting and receiving business management of a document; the voice interaction module is used for receiving and analyzing a user voice instruction; the control module is used for scheduling each sub-module in the system to complete an operation instruction; the data processing module is used for analyzing and processing contents, states and circulation of documents and letters based on a large model; and the feedback module is used for feeding back the execution result to the user in a voice or text form. According to the technical scheme, a three-member management platform is adopted to perform labor division management and real-time safety auditing on the system permission, the technical effect of improving the system permission distribution reasonability and the overall operation safety is achieved, and compared with the technical scheme of concentrated permission and lack of effective auditing and safety management in the prior art, the technical scheme has the advantages that the system permission distribution reasonability and the overall operation safety are improved. And the defects of permission abuse and security vulnerability hidden dangers are overcome.

The invention discloses an industrial vehicle intelligent instrument control system and method based on multi-mode biological recognition, and the method comprises the following steps: S1, collecting fingerprint data of a driver, and carrying out the preprocessing; s2, fingerprint texture features are extracted, and weighted coding is carried out on local texture distribution and a global topological structure; s3, constructing an identity verification window, and performing bidirectional attention comparison on the fingerprint feature vector and the fingerprint template; s4, judging whether the identity verification is passed or not according to the similarity score, and if the verification is passed, triggering a buzzer or a voice broadcast device to generate control feedback; s5, starting the vehicle, awakening display, loading an instrument information page, and writing an identity verification result into a system buffer area; and S6, synchronizing an identity verification result to a mobile terminal APP or an applet platform through the Bluetooth MCU chip. According to the invention, industrial vehicle intelligent control based on fingerprint identification is realized, and the identity verification accuracy, the operation safety and the management efficiency are improved.

The invention discloses a remote communication method for a surgical robot, a storage medium and a program product, and the method comprises the steps: receiving first control data sent by a remote control end which carries out the remote control of the surgical robot in response to the starting of a remote mode; wherein the first control data is obtained by encrypting original control data by the remote control end by adopting a preset encryption algorithm; the preset encryption algorithm comprises a symmetric encryption algorithm and / or an asymmetric encryption algorithm; decrypting the first control data by adopting a target decryption algorithm corresponding to the preset encryption algorithm to obtain second control data, and determining a target response mode of the surgical robot for the second control data according to the second control data and preset control logic; wherein the preset control logic at least comprises the adjustment logic of the working state of the surgical robot, so that the transmission safety of the remote surgical data and the operation safety of the surgical robot are improved.

The invention relates to the technical field of industrial cleaning, and discloses a surface residue cleaning system in an anode carbon block conveying process, which comprises a residue detection module, a cleaning execution module, an intelligent control module, an effect verification module, a safety protection module, a data management module, a self-calibration module, an energy consumption optimization module and a man-machine interaction module. Capturing residue distribution on the surface of the carbon block in real time through a multispectral scanning unit, and outputting a cleaning signal through a residue recognition algorithm; the mechanical cleaning unit and the airflow cleaning unit cooperatively execute precise slag removal; the intelligent control module adaptively adjusts cleaning parameters based on the speed of the conveying line; the surface sampling unit verifies the cleanliness through spectrum detection; the dust monitoring unit performs linkage safety protection when PM10 exceeds 8mg / m; and the data management module integrates the running log and remote report generation. Accuracy and reliability of residue identification are guaranteed, cleaning efficiency is improved, the risk that the surface of the carbon block is scratched is reduced, and production quality and operation safety are comprehensively improved.

The invention discloses a protocol message tamper-proofing method and system based on symmetric encryption and a medium, and relates to the technical field of industrial automation Ethernet time synchronization. According to the method, mirror image monitoring is carried out on the message receiving and sending process in the protocol processing process of time synchronization equipment, a protocol message is obtained and analyzed, and the protocol message tamper-proofing effect is achieved; a message abstract and encrypted verification data thereof are generated at a sending end, and a corresponding abstract is obtained through decryption at a receiving end; consistency comparison is carried out on the sending side abstract and the receiving side abstract based on the time window, and a tamper-proof consistency coefficient is calculated to judge the integrity of the protocol message; on the basis that the integrity is qualified, performing difference analysis on an encryption verification result, and calculating an encryption credibility coefficient to evaluate the credibility state of the symmetric encryption link; and further performing coupling calculation to obtain a time synchronization security coupling coefficient, comprehensively evaluating the influence of tamper-proofing and symmetric encryption on the time synchronization operation security, and implementing a security regulation and control strategy according to the influence, thereby improving the security and stability of the time synchronization system.

The invention provides an edge computing gateway operation security analysis method and device, equipment and a medium, and relates to the technical field of artificial intelligence. In the application, firstly, target traffic data of a target edge computing gateway are acquired; secondly, performing semantic mining on the target traffic data by using a semantic mining model in a target operation security analysis network, and outputting corresponding global traffic features, first local traffic features and second local traffic features; and then, by using a semantic analysis model, performing operation security analysis on the global traffic feature, the first local traffic feature and the second local traffic feature, and outputting a target operation security analysis result corresponding to the target edge computing gateway. Based on the content, the problem that in the prior art, the reliability of operation safety analysis is relatively low can be solved.

The invention discloses a double-layer multi-target dynamic reconstruction optimization method for an active power distribution network, and the innovative technical scheme comprises four core modules: firstly, building a network radial topology constraint model based on an unlinking method, and guaranteeing the basic safety of the operation of the power distribution network; secondly, constructing an equivalent daily load curve dynamic division model based on information entropy, and realizing time period division by quantifying load fluctuation characteristics; load period division, network operation security constraints and active management elements are comprehensively considered, and a double-layer multi-target reconstruction model with time sequence correlation characteristics is established; and finally, providing an improved multi-target electric eel foraging optimization algorithm (IMEEFO) on the basis of a Pareto frontier theory to respectively solve an upper layer model and a lower layer model. Through upper and lower layer nested iterative optimization, an optimal dynamic reconstruction strategy is generated, the operation cost is effectively reduced, the new energy consumption capability is improved, and meanwhile, the real-time operation requirement of the power distribution network is met.