160results about How to "Ensure timeliness" patented technology

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

The invention belongs to the technical field of CAN bus communication, and provides a CAN bus transmission method based on multiple priorities, which performs dynamic priority setting, optimizes the bus bandwidth utilization rate in real time, improves the communication efficiency and ensures the transmission timeliness of key data based on the real-time bus load rate. According to the method, the temporary priority adjustment is carried out on the target message only by entering the temporary high-priority sending mode, and through temporary optimization improvement, it can be ensured that the key message preempts the bandwidth when the bus is congested, hardware resources are fully utilized, low time delay and high reliability of the key message are ensured, and meanwhile it is ensured that dynamic improvement does not endanger the highest-security-level message.

The application discloses a kind of digital culture intelligent resource library construction method and system, belong to digital cultural resource management technical field.The method includes: multi-source heterogeneous layered collection (six categories of resources are synchronously collected by multimodal terminal, high-precision detail capture), adaptive heterogeneous resource standardization processing (personalized algorithm, independent DCIR format), double-branch attention intelligent classification association (accurate classification, mining internal correlation), distributed encryption storage and intelligent indexing (safe and traceable, fast retrieval), dynamic self-optimization and intelligent updating (model incremental updating, resource real-time replenishment).The system, device and medium correspond to realize the above method.The present application completely avoids prior art, realizes the high-precision, intelligent, safe and dynamic construction of digital cultural resources, and improves the efficiency of resource protection and utilization.

The application belongs to the technical field of advertisement pushing, and discloses an advertisement intelligent putting system and method based on specific user driving: demand expressions voluntarily submitted by users are collected, characteristic elements of each expression item are extracted, and a demand expression characteristic set is obtained; multi-layer condition discrimination is performed on the demand expression characteristic set, and uncoordinated expression items are removed, so that a preliminary putting demand set is obtained; situation derivation enhancement is performed, so that a complete putting demand set is obtained; core expression item data of adjacent demand sequences are extracted, and sequence mapping and fusion processing are performed, so that a persistent preference guidance group is obtained; peripheral expression item data is extracted, and an instant change coordination group is constructed; the peripheral expression items in the complete putting demand set are matched and adjusted, so that an adaptive putting advertisement set is obtained; and the precision marketing efficiency of advertisement intelligent putting is greatly improved.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a GIS-based unmanned aerial vehicle collaborative inspection scheduling method and system, and the method comprises the steps: obtaining the geographic information data of a target inspection region and the real-time state data of a plurality of unmanned aerial vehicles; generating an initial task set according to the geographic information data and a preset inspection task, and mapping each inspection point in the initial task set to a coordinate grid corresponding to the geographic information data; judging whether the initial task set meets a preset distribution condition or not; and determining a target task packet corresponding to each unmanned aerial vehicle according to the initial task set and the real-time state data of the plurality of unmanned aerial vehicles in response to the initial task set satisfying a preset distribution condition. According to the invention, by acquiring the state and geographic information data of the unmanned aerial vehicle in real time, the inspection task can be reasonably allocated according to the electric quantity and position of each unmanned aerial vehicle, and the efficiency and timeliness of task execution are ensured.

The invention discloses a supply chain full-process traceability tracking method based on a block chain, and relates to the technical field of block chain and supply chain traceability, and the method comprises the specific steps: collecting supply chain node identity qualification basic information, and carrying out the structural processing; generating a unique initial dynamic chain code by using an encryption algorithm, and storing the unique initial dynamic chain code in a main chain after binding the unique initial dynamic chain code with qualification information hash; integrating the collected data into traceability data and checking node identities and chain codes; after the verification is passed, the traceability data is bound with a chain code for the second time, and a timestamp is added for chaining; updating the chain code according to the service state, adding an identifier to the old chain code and permanently storing the identifier; according to the invention, a rigorous node identity authentication system is constructed, so that the credibility of a traceability subject is guaranteed, and identity and qualification data can be traced and verified in the whole process; multiple terminals collect data cooperatively, completeness and timeliness are ensured through multiple associations, chain code dynamic update adapts to service changes, and data association continuity is ensured; the whole-process mechanism effectively solves the problem of traditional traceability data splitting.

The utility model discloses a wire bar and generator stator with temperature measurement function, aims at solving the temperature sensor in traditional wire bar structure, cannot directly measure the temperature of wire bar conductor, there is temperature measurement result misalignment, temperature measurement efficiency is low and cannot realize the overheating early warning of generator stator's problem. The wire bar body and temperature sensor of the utility model, the wire bar body includes conductor and insulating layer, and the insulating layer is sleeved on the conductor, and the temperature sensor includes temperature sensing probe and signal transmission part, and temperature sensing probe is connected with signal transmission part, temperature sensing probe is connected with the conductor, and the insulating layer is connected with temperature sensing probe, and signal transmission part sets up between the insulating layer and the conductor and leads out from one end of the insulating layer. Through temperature sensing probe and conductor direct connection, make temperature sensor can directly monitor the temperature condition of conductor, avoid the thermal resistance delay of indirect temperature measurement, ensure the accuracy and timeliness of temperature monitoring, improve the efficiency of temperature monitoring.

The utility model relates to the technical field of regulating valves, in particular to a quick response type gas regulating valve which comprises a regulating box, one side of the regulating box is communicated with a gas inlet pipe, the other side of the regulating box is communicated with a gas outlet pipe, the top of the regulating box is communicated with a connecting cylinder, and the top of the connecting cylinder is communicated with a gas collecting cylinder. A pressure relief assembly used for conducting pressure relief on coal gas in the adjusting box is arranged in the connecting cylinder, the pressure relief assembly comprises an air floating plate and a positioning plate, the air floating plate is connected into the connecting cylinder in a sliding mode, the positioning plate is installed in the bottom of the gas collecting cylinder, and the positioning plate is located on the top of the air floating plate. The gas pressure relief device and the gas pressure relief device are matched with each other, rapid pressure relief and real-time alarm feedback are achieved in the pressure relief process, smoothness and timeliness of gas pressure relief are guaranteed, meanwhile, it is guaranteed that an operator can get an immediate warning when the pressure is abnormal, and equipment failures or other safety problems are prevented.

The application provides a control method and system of a throttling well killing manifold, the throttling well killing manifold is connected with a wellhead device, and comprises a rapid blowout channel and a common blowout channel which are arranged in parallel, and a throttle valve is installed on the common blowout channel; the control method comprises the following steps: real-time monitoring of wellhead casing pressure P a and standpipe pressure P1, and determining the pressure difference between the wellhead casing pressure and the standpipe pressure; when P a -P l <P z , the drilling operation is normal, and the throttling well killing manifold is not opened; when P z ≤P a -P1<aP z , the throttling well killing manifold is opened, and the opening degree of the throttle valve is dynamically adjusted according to a throttle valve opening degree processing model; when P a -P1≥aP z , or there is no drilling fluid to be recovered in the separator and the well is full of gas, the rapid blowout channel is opened, and blowout operation is implemented. In the process of implementing the blowout operation, the application adopts multi-channel control, and ensures the timeliness and safety of the blowout.

The invention discloses a wholesale document intelligent label printing and management system, and relates to the technical field of computer application and logistics informatization, and the system comprises a basic configuration module which comprises a configuration input unit and a configuration storage and cache unit, and is used for importing configuration information through a graphical interface and a configuration file, the configuration information comprises a label rule, a picking code rule, supplier grade and market information, a label template and stock list configuration, and caching the configuration information to the basic configuration cache. According to the wholesale port intelligent label printing and management system, through automatic and intelligent technical means, closed-loop management of the whole process from order access, label generation, sorting to delivery and account checking is achieved, manual intervention and the error rate are reduced, the unique inventory state-label type linkage mechanism is adopted, and the intelligent label printing and management system has the advantages of being simple in structure and convenient to use. The accuracy and timeliness of the label information are ensured, and goods damage and delay caused by inconsistent information are avoided.

The invention discloses a notarist mechanism-based exchange rate dynamic adjustable cross-chain method and a blockchain cross-chain system, and the method comprises the steps: enabling a transaction sender to exchange funds into cross-chain tokens at an asset manager at first when cross-chain initiation is carried out; and then the cross-chain token is transferred to a target chain in a cross-chain manner by using a Hash time lock contract through the assistance of a notary group. According to the invention, a traditional notarist-based cross-chain mechanism is improved, a new role-fund manager is introduced, and the exchange rate is endowed with a dynamic adjustment capability, so that external market changes can be dealt with in time; meanwhile, a chameleon hash function is used in the scheme, and under the condition that at least one honesty node exists in a payment path, the payment relationship between two transaction parties can be perfectly hidden, so that the relationship privacy of the user is well protected.

The invention provides a harmonic current control method, a controller and an inverter, and is applied to the technical field of inverters, and the method comprises the steps: taking a half switching period of the inverter as a sampling period, carrying out the sampling of the output current of the inverter, obtaining a first sampling result corresponding to the current sampling period and a second sampling result corresponding to the last sampling period, the current sampling period is adjacent to the previous sampling period, and the determination of the target sampling current multiplexes the sampling result of the previous sampling period, so that the harmonic control signal is generated based on the target sampling current. Therefore, the sampling result in the complete switching period duration is obtained in the half switching period, the duration for determining the target sampling current is effectively shortened, the delay duration for generating the harmonic control signal is further shortened, the timeliness of the harmonic control process is ensured, and the stability of the harmonic control process and the harmonic current suppression effect are improved.

This invention provides a maritime rescue method and system based on a heterogeneous unmanned system. The method includes: Step S1: acquiring accident information to generate a multi-dimensional decision model; the accident information includes accident type, accident location, information of personnel to be rescued, and environmental information; Step S2: automatically matching a corresponding rescue plan based on the multi-dimensional decision model; Step S3: deploying the heterogeneous unmanned system according to the rescue plan, enabling it to perform autonomous unmanned search along the rescue path and identify the searched targets; Step S4: controlling the heterogeneous unmanned system to complete the rescue based on the identification results. This invention effectively solves the main problems existing in current maritime rescue technologies and provides a complete technical solution for achieving efficient, rapid, and intelligent unmanned maritime rescue.

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

This invention provides a sample entry / exit method and system. Upon receiving sample entry / exit instructions, it automatically determines the task sequence and generates a task scheduling strategy based on the current number of idle robots. This achieves a fully automated process from task reception to execution, significantly reducing manual intervention and improving work efficiency. It also ensures the rationality and timeliness of task allocation, demonstrating a high level of intelligence. By comprehensively considering the task sequence and the number of idle robots, task allocation can be dynamically adjusted to ensure optimal resource allocation, thereby improving overall entry / exit efficiency. Furthermore, based on warehouse layout, shelf location, sample type and specifications, and task allocation results, precise movement paths can be planned for each target robot. This not only shortens robot travel time and reduces energy consumption but also avoids collisions and path conflicts between robots, ensuring the safety and smoothness of entry / exit operations.

The invention discloses an inter-core communication method and device, a storage medium, a component and a chip, and relates to the technical field of chips, the inter-core communication method is executed by a first communication system, and the inter-core communication method comprises the following steps: responding to a condition that a first inter-core communication component in the first communication system meets a power-off condition, and sending a power-off notification to a second communication system; and according to feedback information of the second communication system on the power-off notification, determining whether to power off the first inter-core communication component. Compared with the prior art, the inter-core communication component in the communication system can enable another system to evaluate whether power-off can be carried out or not in a power-off notification mode before power-off, so that whether the first inter-core communication component is powered off or not is determined according to the returned evaluation result; therefore, the situation that the inter-core communication component in one system is powered off and the other system needs to carry out data interaction with the system is avoided, data transmission between different communication systems is guaranteed, and power-on and power-off safety of the inter-core communication components between the different systems is also guaranteed.

The invention discloses a fuel management supervisor on-duty compliance verification method and a related device, and belongs to the technical field of personnel management. The method comprises the following steps: acquiring human face information and personnel data of spatial position information at an inlet and an outlet of a fuel sample preparation room in real time; based on the personnel data, the number of personnel in the sample preparation room is counted and judged in real time through a dynamic people number balance algorithm; on the basis of face information in the personnel data, performing biological characteristic identity verification on personnel in the sample preparation room, and confirming the identity and on-duty state of the supervisor; and coupling the number of the personnel, the identity of the supervisor and the on-duty state of the supervisor, and generating a compliance judgment conclusion. According to the invention, on the basis of a living body detection and trajectory tracking technology chain, the problems of identity false use, double-person cooperative verification and shift supervision are solved, and a non-repudiation responsibility tracing system is constructed. Through cross-modal data fusion and complex environment adaptation design, the problems of data islands, statistical distortion and equipment reliability in the prior art are solved, and all-time accurate supervision is realized.

The invention relates to the technical field of data processing, and provides a log data alarm prompting method and device, electronic equipment and a readable storage medium. The method comprises the steps of performing analysis processing on to-be-processed abnormal log data to obtain an attribute field corresponding to the to-be-processed abnormal log data; performing standardization processing on the attribute field to obtain standardized abnormal data; based on a preset alarm template, performing frequency control duplicate removal processing on the standardized abnormal data to obtain a target alarm text; and performing queue transmission on the target alarm text, so that the target alarm text is displayed to the terminal equipment, thereby improving the accuracy and real-time performance of alarm information, enhancing the processing capability of abnormal logs, improving the reliability of alarm notification, improving the operation and maintenance efficiency and the fault repair speed, and improving the user experience. The timeliness and the traceability of the alarm information are ensured through a standardized format and a reliable transmission mechanism, and the service relevance and the system collaboration of the alarm information are enhanced.

The application discloses a design and a method of an intelligent opening and closing type temperature control heat dissipation device, and belongs to the technical field of heat dissipation equipment. The heat dissipation device innovatively combines the shape memory effect and superelasticity of a nickel-titanium high-temperature alloy, simulates the folding and unfolding principle of a folding fan, realizes automatic adjustment of the opening and closing state of the fan blade with temperature change, and further accurately adjusts and controls the heat dissipation capacity. In a low-temperature environment, the fan blade remains closed, reducing unnecessary heat loss; in a high-temperature environment, the fan blade is automatically opened, the heat dissipation effect is strengthened, and it is ensured that the equipment always stably operates in a suitable temperature range, and the heat dissipation device has the remarkable advantages of ingenious structure, accurate temperature control, energy saving and high efficiency.

This invention provides a resource optimization allocation method and system for environmental control in the industrialized cultivation of Ganoderma lucidum. By dividing the industrialized cultivation cycle of Ganoderma lucidum into stages and determining the environmental parameter thresholds for each stage, the growth characteristics of each stage are accurately matched, providing a quantifiable basis for environmental judgment. Based on historical Ganoderma lucidum cultivation data, a correlation model is established between environmental parameter deviations and resource adjustment amounts at each stage to ensure the rationalization of resource supply. By collecting real-time environmental parameters of industrialized Ganoderma lucidum cultivation, the deviation between the real-time environmental parameters and the environmental parameter thresholds of the current stage is determined, and the resource optimization parameters corresponding to the deviation values ​​are determined based on the correlation model, enabling timely resource control. By operating according to the resource optimization parameters and iteratively adjusting during the operation until the real-time environmental parameters meet the standards, the environmental parameters at each stage throughout the entire cultivation cycle are ensured to remain within the threshold range.

This invention discloses a gap detection system, milling equipment, and detection method for drill pipe strings, belonging to the field of automated production in coal mine underground drilling equipment manufacturing. It includes a conformal gap detection mechanism comprising a cylinder. A connecting frame structure and a conformal roller structure are sequentially arranged at the bottom of the cylinder. A U-shaped mounting frame is arranged on the transverse front side of the conformal roller structure. The transmitting and receiving ends of a digital fiber optic sensor are respectively installed on the two outer side walls of the U-shaped mounting frame. The conformal gap detection mechanism incorporates a digital fiber optic sensor, enabling real-time monitoring of the gap width between drill pipe strings. It can automatically detect the gap difference between drill pipe strings of various specifications without manual intervention, solving the problems of low efficiency and large errors in traditional manual detection. Furthermore, the system boasts high detection accuracy and fast response speed, ensuring the accuracy and timeliness of gap deviation judgment.

The invention relates to the field of hardware etching automatic adding, and discloses a hardware etching automatic adding system and a circulation control method thereof.The hardware etching automatic adding system comprises a circulation system and a control system, the circulation system comprises a working cylinder and a sampling box, and liquid medicine circularly flows between the working cylinder and the sampling box; the control system comprises a main controller, a sensor module and a liquid adding pump set, the sensor module is used for detecting the copper ion concentration in the sampling box and the ion concentration and oxidation intensity of hydrochloric acid, the sensor module outputs signals to the main controller, and the main controller controls the liquid adding pump set to pump water, hydrochloric acid and an oxidizing agent into the working cylinder. Therefore, real-time monitoring and accurate adjustment of liquid medicine parameters are realized, and manual intervention and medicine loss are reduced.

This invention relates to the field of inkjet characteristic measurement technology, specifically to inkjet characteristic measurement methods, systems, equipment, and storage media. A host industrial control computer ensures efficient inkjet start-up control, while a printhead driver board ensures stable, accurate, and timely inkjet printing. A camera device captures images via commands for subsequent analysis. Iterative operations combined with image fusion algorithms enable rapid, continuous, and accurate measurement of arrayed printheads, aiding in feature recognition. Image recognition methods derive droplet characteristics for precise analysis, and repeated motion stages comprehensively acquire characteristics to generate inkjet characteristics, strongly supporting inkjet system optimization and improving product quality and production efficiency.

The present application relates to the technical field of battery cooling, and discloses an adaptive dual-mode immersed liquid cooling system based on acoustic-heat flow collaborative sensing. The system comprises an acoustic sensor, a temperature sensor, a fuzzy controller, a multi-channel controller, a pump, a cooling coil, a radiator and a water tank. The system can perform single phase change cooling operation in a low rate mode and flow phase change collaborative cooling operation in a high rate mode, and mode switching decisions are made based on frequency domain changes of acoustic characteristics and calculated values of heat flow density. The acoustic sensor collects boiling acoustic wave signals of the cooling liquid, the temperature sensor monitors the battery temperature gradient, the fuzzy controller generates control instructions based on the above signals, and the multi-channel controller controls the pump power, the cooling coil flow and the radiator power. Through collaborative sensing and dual-mode adaptive adjustment, the system improves the cooling efficiency and response speed, adapts to different battery load states, and ensures the safe and stable operation of the battery.

The utility model provides a kind of radioactive contamination dynamic boundary prediction device, belong to nuclear science and technology field, to solve the detection of direct use Geiger counter, leading to the inaccuracy of the detection result of Geiger counter, influence the accuracy of radioactive contamination boundary prediction problem, including Geiger counter main part, control knob, detection holding frame, detection head, dustproof driving mechanism and operation warning mechanism;The control knob is rotationally connected above the Geiger counter main part;The detection holding frame is fixedly connected above the Geiger counter main part;The detection head is fixedly connected above the detection holding frame;The dust cover is rotationally connected at the front end of detection holding frame, and the dust cover is arranged at the front end of detection head;The dustproof driving mechanism is arranged outside the detection holding frame;The operation warning mechanism is arranged above the Geiger counter main part, standardizes the operation procedure of worker, guarantees the accuracy of radioactive contamination detection result.

This disclosure pertains to the field of batteries, specifically a method and system for early warning of thermal runaway in automotive power batteries. It involves collecting data on individual battery cell voltage, total voltage, current, and temperature to construct an original feature sequence. This sequence is then fused using multi-head one-dimensional convolution to integrate local temporal features at different time scales, generating a fused feature sequence. Temporal encoding is performed using a gated recurrent unit with an added anomaly response gate. Anomaly scores are calculated based on the degree to which the input features deviate from the historical mean, and the hidden state is updated accordingly. The output consists of a hidden state sequence and anomaly score sequence. A dual-channel attention module is used to calculate temporal and feature attention weights, which are then coupled through a Hadamard product to generate a coupled attention weight matrix. The hidden states are weighted and aggregated to obtain a context vector, which is decoded by a fully connected network to determine the thermal runaway risk probability. This probability, combined with the rate of change, generates an early warning threshold, enabling real-time and accurate thermal runaway early warning triggering.

The application discloses a kind of robot post-disaster rescue collaboration methods based on deep learning and large language model, by introducing " reflection mechanism " in natural language processing, realize task semantic analysis, dynamic optimization and adaptive scheduling.Large language model generates task semantic graph and combines reinforcement learning to adjust priority in real time, form closed-loop task reflection and optimization process, greatly improve the flexibility and adaptability of robot in complex environment.Design " distributed perception bridge " module, through attention mechanism dynamic screening and sharing key perception data, realize the efficient cooperation of heterogeneous robot, even in the condition of unstable communication still can guarantee rescue efficiency.Based on the reinforcement learning model driven by environmental characteristics, real-time perception of physical properties such as fragment density and slope, optimize behavior strategy, improve the generalization ability and robustness of model.Through " force-semantic coupling " motion planning, dynamically adjust the operation path and force of manipulator, improve the success rate of complex task.

The invention relates to a business processing method and device based on a large model, equipment and a storage medium. The method comprises the steps of analyzing input content of a user through a large model, obtaining intention information and entity information of the input content, querying a knowledge graph based on the intention information and the entity information, determining a matching result with the input content and current information of the user, and determining the input content according to the matching result and the current information of the user. And generating a processing flow list and pre-filling information by using the service engine, and generating guidance information according to the processing flow list and the pre-filling information and feeding back the guidance information to the user. User input is accurately analyzed through a large model, intention recognition and entity extraction accuracy is improved, a foundation is laid for personalized business processing, dynamic association and real-time updating of policy information are achieved by querying a knowledge graph, business guidance accuracy and timeliness are ensured, a business engine automatically generates a process list and pre-filled information, and the business efficiency is improved. Repeated input and manual query of the user are reduced, and the business handling efficiency is improved.

The application relates to the technical field of artificial intelligence and industrial simulation, in particular to an evolvable industrial simulation question and answer intelligent agent system and a simulation question and answer method thereof. The evolvable industrial simulation question and answer intelligent agent system comprises a knowledge base module, a tool calling module, an intelligent agent core module, a user interaction module and a log and audit module; the knowledge base module comprises a multi-element knowledge collection unit, a document loading and cutting unit, a vectorization embedding and storage unit, a semantic retrieval unit, a knowledge evolution unit, a rule base and a case base; the application has the beneficial effects that (1) knowledge is dynamically evolved and updated autonomously and timely; (2) the system has the capability of autonomously refining knowledge from simulation results; (3) tool calling is intelligentized, and the system realizes "question and answer as calculation"; (4) the system has strong capabilities of complex problem disassembly and iterative solution; and (5) the system has excellent adaptability and expandability.

A power distribution network resilience improvement method and system considering electric vehicle V2G willingness, comprising: constructing a linear decay model of weather influence coefficient, a wind-induced road physical damage model and a water depth penalty model, calculating the shortest travel time of mobile energy storage vehicle MESS from an access node to another node based on all models; based on the comprehensive utility, the response probability of electric vehicle EV participating in grid interaction V2G is calculated, and the EV cluster response coefficient of each node is calculated through the response probability and the maximum discharge power; combined with the EV cluster response coefficient, a pre-disaster pre-layout two-stage robust optimization model is constructed to solve the pre-disaster mobile energy storage vehicle MESS pre-configuration position and pre-disaster scheduling variable, and combined with the shortest travel time, a post-disaster multi-source collaborative recovery model is constructed to solve the post-disaster mobile energy storage vehicle MESS position and post-disaster scheduling variable. The present application ensures the timeliness and rationality of post-disaster MESS scheduling, and improves the post-disaster recovery efficiency of the power distribution network.