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CN-122022311-A - Emergency resource scheduling method and device for risk level matching

CN122022311ACN 122022311 ACN122022311 ACN 122022311ACN-122022311-A

Abstract

The embodiment of the application provides a method and a device for scheduling emergency resources with matched risk levels. The method comprises the steps of collecting emergency resource information and multisource external event data, uploading the collected data to a blockchain network after encryption processing to form a shared database, carrying out dynamic risk assessment on real-time event data collected through a multisource external event sensing unit by using a risk level mapping model to generate a real-time risk level and an event type, triggering an intelligent contract corresponding to the event type when the real-time risk level meets a preset contract triggering condition, screening a plurality of available emergency resources corresponding to the event type from the shared database through the triggered intelligent contract, calling a path optimization scheduling algorithm to generate an optimal resource scheduling path, and generating a corresponding disposal instruction to push to relevant responsible persons. The method realizes dynamic and accurate scheduling of emergency resources, and remarkably improves response efficiency and accuracy.

Inventors

  • YANG MENG

Assignees

  • 中国移动通信集团辽宁有限公司
  • 中国移动通信集团有限公司

Dates

Publication Date
20260512
Application Date
20260127

Claims (10)

  1. 1. An emergency resource scheduling method for risk level matching, which is characterized by comprising the following steps: the method comprises the steps of collecting emergency resource information and multisource external event data, and uploading the collected data to a blockchain network after encryption processing to form a tamper-proof shared database; The method comprises the steps of carrying out dynamic risk assessment on real-time event data acquired by a multisource external event sensing unit by using a risk level mapping model to generate a real-time risk level and an event type, and triggering an intelligent contract corresponding to the event type when the real-time risk level meets a preset contract triggering condition; And screening a plurality of available emergency resources corresponding to the event type from the shared database through the triggered intelligent contract, calling a path optimization scheduling algorithm, comprehensively processing multidimensional dynamic parameters between each available emergency resource and the event location, generating an optimal resource scheduling path, generating a corresponding disposal instruction and pushing the disposal instruction to related responsible persons.
  2. 2. The method of claim 1, wherein the emergency resource information includes emergency material information, rescue team information, and medical resource information; the multi-source external event data includes device operation data, personnel behavior data, environmental data, and traffic data.
  3. 3. The method of claim 1, wherein uploading the collected data to the blockchain network after encryption processing comprises: Encrypting the acquired data by adopting an SM4 symmetric encryption algorithm to obtain primary encrypted data; Aiming at primary encryption data corresponding to sensitive data in the acquired data, calling homomorphic encryption algorithm to carry out secondary encryption to obtain secondary encryption data; Obtaining encrypted data based on primary encrypted data corresponding to the non-sensitive data and secondary encrypted data corresponding to the sensitive data; generating a globally unique UUID identifier for each piece of encrypted data; After verifying the validity of the encrypted data source and the correctness of the data format through the endorsement node of the blockchain, writing the encrypted data into the blockchain.
  4. 4. The method of claim 1, wherein the risk level mapping model is a deep learning model based on LSTM attention mechanisms; real-time event data acquired by a multisource external event sensing unit is subjected to dynamic risk assessment by using a risk level mapping model, and a real-time risk level and an event type are generated, wherein the method comprises the following steps: And inputting the real-time event data into a deep learning model of an LSTM attention mechanism, capturing event characteristics of the real-time event data by the deep learning model, calculating attention weights of the event characteristics by using the attention mechanism, and outputting real-time risk levels and event types.
  5. 5. The method of claim 4, wherein the multi-dimensional dynamic parameters include at least a spatial distance parameter, a real-time traffic parameter, a resource attribute parameter, and an event severity parameter; The calculation formula of the attention weight is as follows: Wherein, the Is the first The event is characterized in that The attention score of the moment in time, 、 、 As a parameter of the model, it is possible to provide, Is LSTM at the first The hidden state of the moment of time, Is the first The characteristics of the individual events are such that, As a result of the bias term, Is the first The event is characterized in that Attention weight of moment.
  6. 6. The method of claim 1, wherein the path-optimized scheduling algorithm calculates a composite weight from each emergency resource origin to an event location using a composite weight function, the composite weight function being: Wherein: 、 、 As the weight coefficient of the light-emitting diode, ; Is a resource Starting from emergency resources Comprehensive weights to event sites; Is a resource Emergency resource origin of (c) Actual road distance to event location; Is a resource Road congestion coefficients of the travel route; Is a resource Emergency resource priority of (a); Is an event urgency factor.
  7. 7. The method of claim 6, wherein invoking a path optimization scheduling algorithm, performing comprehensive processing on the multidimensional dynamic parameters between each available emergency resource and the event location, generating an optimal resource scheduling path, and generating a corresponding disposition instruction to push to the relevant responsible person, comprises: sequencing the comprehensive weights of the available emergency resources calculated by the path optimization scheduling algorithm according to the sequence from small to large of the comprehensive weight values; and generating an optimal resource scheduling path and corresponding treatment instructions according to the sequencing result, and pushing the treatment instructions to related responsible person terminals through a blockchain message queue.
  8. 8. An emergency resource scheduling device for risk level matching, the device comprising: The acquisition unit is used for acquiring emergency resource information and multisource external event data; the uploading unit is used for uploading the acquired data to the blockchain network after encryption processing to form a tamper-proof shared database; The generation unit is used for carrying out dynamic risk assessment on the real-time event data acquired by the multi-source external event sensing unit by utilizing the risk level mapping model to generate a real-time risk level and an event type; the triggering unit is used for triggering the intelligent contract corresponding to the event type when the real-time risk level meets a preset contract triggering condition; The screening unit is used for screening a plurality of available emergency resources corresponding to the event type from the shared database through the triggered intelligent contract; The generation unit is also used for calling a path optimization scheduling algorithm, comprehensively processing multidimensional dynamic parameters between each available emergency resource and the event location, generating an optimal resource scheduling path, and generating a corresponding disposal instruction to push to related responsible persons.
  9. 9. An electronic device, characterized in that the electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are in communication with each other through the communication bus; a memory for storing a computer program; a processor for implementing the method of any of claims 1-7 when executing a program stored on a memory.
  10. 10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed by a processor, implements the method of any of claims 1-7.

Description

Emergency resource scheduling method and device for risk level matching Technical Field The application relates to the technical field of emergency resource management, in particular to an emergency resource scheduling method and device for risk level matching. Background The emergency resource intelligent contract is an automatic resource management and distribution system constructed based on a blockchain technology, can automatically trigger operations such as resource allocation, payment and settlement and the like during an emergency, is widely applied to the fields of disaster relief material management, emergency medical resource allocation, insurance claim settlement and the like, and has the characteristics of decentralization, non-tampering and traceability. Currently, the prior art schemes in the field of emergency resource intelligent contracts comprise an emergency resource management system based on a centralized database, a traditional manual scheduling and approval process, an information sharing co-processing technology relying on a single mechanism, a static resource allocation method matched by fixed rules, a technology based on monitoring of internet of things equipment but lacking an automatic response mechanism, and an emergency response technology relying on manual judgment of risk levels. Meanwhile, related patent technologies provide schemes of block chain and external knowledge system linkage, manufacturing system tracing of master-slave chain cooperation, supply chain node safety evaluation and the like, and achieve targets of block chain event driving capability enhancement, manufacturing data credible tracing, supply chain node risk management and control and the like. However, the prior art still has obvious defects in the actual application process, lacks a dynamic evaluation mechanism of the matching degree of the risk level and the emergency resource, has insufficient sensing and updating capabilities of the real-time state of the emergency resource, causes hysteresis of intelligent contract call data, has poor resource allocation accuracy and response timeliness, lacks an effective authority control mechanism when the emergency resource is allocated in a coordinated manner by multiple mechanisms, has difficult guarantee of the security and efficiency of cross-department cooperation, does not establish an adaptive adjustment mechanism of the matching logic of the risk level and the resource, cannot flexibly cope with complex and changeable emergency scenes, and finally influences the integral effect of emergency response. Disclosure of Invention The embodiment of the application aims to provide a risk level matching emergency resource scheduling method and device, which are used for realizing dynamic and accurate scheduling of emergency resources through deep fusion of a blockchain and an intelligent contract, and remarkably improving response efficiency and accuracy. In a first aspect, a method for scheduling emergency resources with matched risk levels is provided, where the method may include: the method comprises the steps of collecting emergency resource information and multisource external event data, and uploading the collected data to a blockchain network after encryption processing to form a tamper-proof shared database; The method comprises the steps of carrying out dynamic risk assessment on real-time event data acquired by a multisource external event sensing unit by using a risk level mapping model to generate a real-time risk level and an event type, and triggering an intelligent contract corresponding to the event type when the real-time risk level meets a preset contract triggering condition; And screening a plurality of available emergency resources corresponding to the event type from the shared database through the triggered intelligent contract, calling a path optimization scheduling algorithm, comprehensively processing multidimensional dynamic parameters between each available emergency resource and the event location, generating an optimal resource scheduling path, generating a corresponding disposal instruction and pushing the disposal instruction to related responsible persons. In one possible implementation, the emergency resource information includes emergency material information, rescue team information, and medical resource information; the multi-source external event data includes device operation data, personnel behavior data, environmental data, and traffic data. In one possible implementation, uploading collected data to a blockchain network after encryption processing includes: Encrypting the acquired data by adopting an SM4 symmetric encryption algorithm to obtain primary encrypted data; Aiming at primary encryption data corresponding to sensitive data in the acquired data, calling homomorphic encryption algorithm to carry out secondary encryption to obtain secondary encryption data; Obtaining encrypted data based on primary encrypted data