CN-121212599-B - Safety data management system and method based on emergency rescue intelligent cabinet

CN121212599BCN 121212599 BCN121212599 BCN 121212599BCN-121212599-B

Abstract

The invention relates to the field of intelligent cabinet management, in particular to a safety data management system and method based on an emergency rescue intelligent cabinet, comprising the following steps: the intelligent cabinet emergency management system comprises a material grading module, a right management module, a distribution planning module, a space supervision module and an emergency identification module, wherein the material grading module is used for establishing a material grading system, the right management module is used for determining the open right of an advanced material storage grid, the distribution planning module is used for constructing a gridding model, determining the optimal layout of the intelligent cabinet, the space supervision module is used for setting the positions of a common cabinet and supervision points, and the emergency identification module is used for determining an emergency event core area.

Inventors

HU JUN
LI YONG
XU JUN
WANG GUOXIANG
BAO SHENG
XIE HAO
HAN YU
GUO BINGHONG

Assignees

江苏立新智能科技有限公司

Dates

Publication Date: 20260508
Application Date: 20250731

Claims (9)

1. The safety data management method based on the emergency rescue intelligent cabinet is characterized by comprising the following steps of: S1, building a material grading system, storing basic materials in a common cabinet, storing advanced materials in an intelligent cabinet, setting a short-distance communication device on the basic materials, and setting a signal identification device on the intelligent cabinet, so that the intelligent cabinet obtains the position of the basic materials when the basic materials move to an induction range; s2, detecting a motion track of the basic material after the intelligent cabinet recognizes the position change of the basic material from different common cabinets, and when the track is converged, associating the high-grade material with the same label according to the label type of the basic material, and opening a high-grade material storage grid of the corresponding label type; S3, constructing a gridding model for the emergency management area based on a space mapping technology, performing multi-objective decision in the gridding model through a maximum coverage algorithm to ensure that the passing distance from each point in the area to the intelligent cabinet is smaller than a threshold value, the capacity of the intelligent cabinet meets the material storage requirement, the setting quantity of the intelligent cabinets is minimum, and the optimal layout of the intelligent cabinet is determined; S4, after the intelligent cabinets are arranged, the arrangement positions of the common cabinets are determined, so that the number of the common cabinets in the service range of the single intelligent cabinet is higher than a threshold value, and the existence of supervision points in a communication path between the intelligent cabinets and the common cabinets is ensured, wherein the supervision points can detect the moving direction of the materials and capture illegal material taking behaviors; s5, building a material flow vector through signal time sequence differences of all supervision points, analyzing movement characteristics of basic materials, determining an emergency event occurrence core area through spatial clustering, and opening high-level material rights of the intelligent cabinet in the core area; the step S2 comprises the following steps: S21, after continuously identifying basic material signals from different common cabinets in a fixed time period, entering an initial response stage of an emergency event, continuously monitoring a moving track of the basic material, uploading the moving track to an emergency command center, and simultaneously detecting the convergence of the moving tracks of all the basic material by adopting a BLE+UWB fusion positioning technology; S22, when the movement track converges, taking and authorizing according to the labels of the basic materials, associating the high-grade materials with the same type as the labels of the basic materials, automatically opening the corresponding high-grade material grid by adopting an access control strategy based on a material association rule, and prompting a material taking path through an LED screen; the step S5 comprises the following steps: S51, monitoring the flowing state of the basic materials, constructing a material flowing vector through the signal time sequence difference of each supervision point, analyzing the density, direction and speed characteristics of material movement, establishing a basic material flowing baseline model, and outputting the flowing vector diagram of all the basic materials; s52, spatial clustering is conducted on the flow vector diagram through a DBSCAN algorithm, an emergency event occurrence core area is determined according to a clustering result, advanced material rights of the intelligent cabinet are opened in the core area, and material operation guidelines are pushed to a rescue worker device end.
2. The emergency rescue intelligent cabinet-based safety data management method according to claim 1, wherein the step S1 comprises the following steps: S11, building a material grading system, dividing emergency materials into basic materials and advanced materials, wherein the basic materials are conventional emergency materials and comprise first-aid kits and simple tools, the advanced materials are key emergency equipment, high-value materials or professional rescue equipment, the basic materials are stored in an open and accessed common cabinet, the advanced materials are subjected to RFID (radio frequency identification) and two-dimensional code double authentication, and are stored in an encryption grid with a constant temperature function in an intelligent cabinet; step S12, setting a short-distance communication device on the basic material, and setting a signal identification device on the intelligent cabinet, so that when the basic material moves to the induction range of the intelligent cabinet, a periodic broadcast signal is sent, and the intelligent cabinet calculates the direction distance with the basic material through RSSI signal intensity or TOF flight time so as to determine the position of the basic material.
3. The emergency rescue intelligent cabinet-based safety data management method according to claim 2, wherein the step S3 comprises the following steps: S31, marking building structures, channels and barrier elements based on BIM or GIS space mapping technology, constructing a gridding model for an emergency management area, setting intelligent cabinet positions in the gridding model through a maximum coverage algorithm, and minimizing the number of the intelligent cabinets as an objective function, wherein the constraint conditions are satisfied that the passing distance from any point in the area to the nearest intelligent cabinet is smaller than or equal to a preset threshold value, the storage capacity of a single intelligent cabinet is larger than the material density requirement in the coverage area, and the intelligent cabinet positions avoid a high risk area and a main passing area; S32, inputting the objective function and the constraint condition into a AnyLogic platform to simulate the material acquisition efficiency, performing multi-objective decision by adopting a analytic hierarchy process, solving the optimal layout of the intelligent cabinet in the rasterization model, and setting the position of the intelligent cabinet according to the output optimal layout.
4. The method for managing safety data based on the emergency rescue intelligent cabinet according to claim 3, wherein the step S4 comprises the following steps: S41, acquiring the existing supervision points in the rasterization model, wherein the supervision points can discover or intercept illegal behaviors of unauthorized access to emergency materials by using an artificial sentry box, a camera or automatic monitoring equipment for deploying an RFID reader-writer; S42, determining the setting position of the common cabinets by using a heuristic algorithm, so that the set common cabinets meet the constraint conditions that the number of the common cabinets in the service range of the single intelligent cabinet is higher than a threshold value, at least one supervision point exists in the passing path of the common cabinets and the intelligent cabinets, if the existing supervision points can not meet the constraint conditions set by the common cabinets, the supervision points are randomly added in the rasterization model, and a scheme with the minimum addition number of the supervision points is selected for outputting; S43, setting positions of the common cabinets and the supervision points according to the output optimal layout, and establishing a topology network of the intelligent cabinets, the common cabinets and the supervision points in the emergency management system.
5. The safety data management system based on the emergency rescue intelligent cabinet is characterized by comprising a material grading module, a right management module, a distribution planning module, a space supervision module and an emergency identification module; The material classification module is used for establishing a material classification system, storing basic materials in a common cabinet, storing advanced materials in an intelligent cabinet, wherein the basic materials are conventional emergency articles, and comprise first-aid kits and simple tools, the advanced materials are key emergency equipment, high-value materials or professional rescue equipment, a short-distance communication device is arranged on the basic materials, a signal identification device is arranged on the intelligent cabinet, so that the basic materials periodically broadcast signals when moving, and the intelligent cabinet measures and calculates the distance between the basic materials through RSSI signal intensity or ToF flight time; The right management module is used for entering an initial response stage of an emergency event after the intelligent cabinet continuously recognizes the change of the distances of the basic materials from different common cabinets, adopting a BLE+UWB fusion positioning technology, associating the high-grade materials according to the type of the used basic material labels when the basic materials are detected to be in a convergent motion track, and opening a high-grade material storage grid of a corresponding type after checking the information right; The distribution planning module is used for marking building structures, channels and barrier elements based on BIM or GIS space mapping technology, constructing a gridding model for the emergency management area, setting intelligent cabinet positions in the gridding model through a maximum coverage algorithm, enabling the passing distance from each point in the area to the intelligent cabinet to be smaller than a threshold value, enabling the capacity of the intelligent cabinet to meet the peripheral material storage requirement, enabling the setting quantity of the intelligent cabinets to be minimum, carrying out multi-objective decision by adopting a hierarchical analysis method, and solving the optimal layout of the intelligent cabinet in the gridding model; the space supervision module is used for determining the setting position of the common cabinets, enabling the number of the common cabinets in the service range of the single intelligent cabinet to be higher than a threshold value, setting supervision points on a communication path between the intelligent cabinet and the common cabinets, wherein the supervision points are artificial sentry boxes, cameras or automatic monitoring equipment for deploying RFID readers/writers, and can detect the moving direction of the materials, capture the taking behaviors of illegal materials and upload monitoring data to an emergency disposal center; The emergency identification module is used for constructing a material flow vector through signal time sequence differences of all supervision points, analyzing density, direction and speed characteristics of material movement, establishing a basic material flow baseline model, determining an emergency event occurrence core area through spatial clustering, opening high-grade material rights of the intelligent cabinet in the core area, and pushing a material operation guide to a rescue worker equipment end.
6. The emergency rescue intelligent cabinet-based safety data management system according to claim 5, wherein the material grading module comprises a grade distribution unit and a short-distance communication unit; The grade distribution unit is used for establishing a material grading system, and the high-grade materials are subjected to RFID (radio frequency identification) and two-dimensional code double authentication and are stored in an encryption grid with a constant temperature function of the intelligent cabinet; The short-distance communication unit is used for carrying out short-distance communication networking, and judging a grid opening strategy after the basic materials meet the triggering condition of the intelligent cabinet.
7. The emergency rescue intelligent cabinet-based safety data management system according to claim 6, wherein the authority management module comprises a position triggering unit, an information checking unit and a grid control unit; the position triggering unit is used for identifying basic material labels through radio frequency identification and distance sensing technology; the information checking unit is used for fitting convergence motion tracks of different label basic materials by adopting a multi-mode recognition algorithm; and the grid port control unit is used for opening the advanced material storage grid port of the corresponding type of the intelligent cabinet according to the label identification result.
8. The emergency rescue intelligent cabinet-based safety data management system according to claim 7, wherein the distribution planning module comprises a region mapping unit, an emergency coverage unit and a multi-objective decision unit; The regional mapping unit is used for constructing a passable regional map and calculating the accessibility and the passing cost of each position point; The emergency covering unit is used for determining an objective function and constraint conditions so that materials of the intelligent cabinet cover an emergency management area; the multi-target decision unit is used for simulating the material acquisition efficiency in the emergency scene through the AnyLogic platform and making intelligent cabinet distribution and location decision.
9. The emergency rescue intelligent cabinet-based safety data management system according to claim 8, wherein the space supervision module comprises a common cabinet unit and a path supervision unit; The common cabinet unit is used for restraining the number of the common cabinets in the service range of the intelligent cabinet, so that the basic materials meet the emergency management requirements; the path supervision unit is used for establishing a supervision point topology network and intercepting illegal behaviors of unauthorized access of emergency materials; The emergency identification module comprises a material flow unit and an event identification unit; the material flowing unit is used for monitoring the flowing state of the basic material and realizing the dynamic trend perception of the basic material; The event identification unit is used for determining an emergency core area through the aggregation or diffusion mode of the basic materials and making an emergency response decision of the core area.

Description

Safety data management system and method based on emergency rescue intelligent cabinet Technical Field The invention relates to the field of intelligent cabinet management, in particular to a safety data management system and method based on an emergency rescue intelligent cabinet. Background The emergency rescue intelligent cabinet is an emergency equipment unified storage facility based on an integrated management technology, emergency equipment such as first-aid kits, gas masks, fire extinguishers and the like can be stored in the cabinet body, and the emergency rescue intelligent cabinet is mainly used for providing high-efficiency emergency material access and management services for emergency events requiring quick response such as fire, earthquake, medical accidents and the like. Most emergency rescue intelligent cabinets are opened after user identities are verified in a fingerprint, IC card, password or APP authorization mode and the like, so that illegal use of medical equipment, broken tools, dangerous products and other materials is avoided, but when an emergency occurs, personnel with permission can not necessarily control the opening of the emergency intelligent cabinet in time, and particularly in a network disconnection state, a remote control system cannot operate, so that materials cannot be taken, and emergency response speed to the emergency is influenced. In addition, the regional building condition or the topography condition that most needs to set up emergency rescue intelligent cabinet is complicated, and the site selection of intelligent cabinet is comparatively chaotic, probably produces the intelligent cabinet and can't cover emergency monitoring area, intelligent cabinet storage material lack and intelligent cabinet quantity too much, and the cost is too big scheduling problem, has restricted the emergency rescue effect of intelligent cabinet to a certain extent, reduces emergency rescue's efficiency. Disclosure of Invention The invention aims to provide a safety data management system and method based on an emergency rescue intelligent cabinet, so as to solve the problems in the background technology. In order to solve the technical problems, the invention provides the technical scheme that the safety data management system based on the emergency rescue intelligent cabinet comprises a material grading module, a right management module, a distribution planning module, a space supervision module and an emergency identification module; The material classification module is used for establishing a material classification system, storing basic materials in a common cabinet, storing advanced materials in an intelligent cabinet, wherein the basic materials are conventional emergency articles, and comprise first-aid kits and simple tools, the advanced materials are key emergency equipment, high-value materials or professional rescue equipment, a short-distance communication device is arranged on the basic materials, a signal identification device is arranged on the intelligent cabinet, so that the basic materials periodically broadcast signals when moving, and the intelligent cabinet measures and calculates the distance between the basic materials through RSSI signal intensity or ToF flight time; The right management module is used for entering an initial response stage of an emergency event after the intelligent cabinet continuously recognizes the change of the distances of the basic materials from different common cabinets, adopting a BLE+UWB fusion positioning technology, associating the high-grade materials according to the type of the used basic material labels when the basic materials are detected to be in a convergent motion track, and opening a high-grade material storage grid of a corresponding type after checking the information right; The distribution planning module is used for marking building structures, channels and barrier elements based on BIM or GIS space mapping technology, constructing a gridding model for the emergency management area, setting intelligent cabinet positions in the gridding model through a maximum coverage algorithm, enabling the passing distance from each point in the area to the intelligent cabinet to be smaller than a threshold value, enabling the capacity of the intelligent cabinet to meet the peripheral material storage requirement, enabling the setting quantity of the intelligent cabinets to be minimum, carrying out multi-objective decision by adopting a hierarchical analysis method, and solving the optimal layout of the intelligent cabinet in the gridding model; the space supervision module is used for determining the setting position of the common cabinets, enabling the number of the common cabinets in the service range of the single intelligent cabinet to be higher than a threshold value, setting supervision points on a communication path between the intelligent cabinet and the common cabinets, wherein the supervision points are artificial se