A rescue method based on coordinated linkage of unmanned intelligent systems

Abstract

The present invention relates to the field of intelligent rescue technology, and discloses a rescue method based on coordinated linkage of unmanned intelligent systems, comprising the following steps: S1, alarm information acquisition: preliminarily determining the types and data of rescue equipment and personnel; S2, disaster investigation and prediction: predicting the risks that may occur in different rescue scenarios, and predicting the development trend of the disaster; S3, decision-making and command and dispatch: automatically generating rescue plans and command and dispatch plans; S4, real-time adjustment of rescue plans: predicting material needs, adjusting rescue plans and rescue materials; S5, safety assessment and early warning analysis: assessing the safety risks of rescue personnel, and issuing early warning signals; S6, rescue records and disaster assessment: assessing the disaster level, and formulating a post-disaster resource allocation plan. The present invention improves the efficiency and quality of rescue operations, and can also improve the safety and sustainability of rescue personnel; it can efficiently complete rescue tasks and reduce personnel and property losses.

Description

Technical Field

[0001] The present invention relates to the field of intelligent rescue technology, and in particular to a rescue method based on coordinated linkage of unmanned intelligent systems. Background Art

[0002] Traditional rescue methods can hardly meet the needs of resource scheduling, personnel deployment, and dispatch and command, which leads to ineffective rescue and the expansion of disasters. With the rapid development of artificial intelligence technology, it has shown great application potential in the field of rescue, including efficient analysis of real-time data, dynamic prediction of disaster situations, resource scheduling optimization, and automated decision-making.

[0003] A Chinese patent discloses a rescue method and an unmanned intelligent system based on coordinated linkage of unmanned intelligent systems (authorization announcement number CN116107336A). This patented technology can achieve efficient and convenient rescue of target objects through the coordinated dispatch of drones, unmanned ships and unmanned vehicles, which can effectively improve rescue efficiency and rescue safety, and can respond to emergencies faster and more accurately, thereby achieving the maximum efficiency of linkage. It can be widely used in the field of transportation dispatching technology, but it cannot adjust the rescue plan in real time, and does not conduct safety assessment and early warning analysis, rescue records and disaster assessment, which leads to the efficiency and quality of the rescue operation and the safety of the rescue personnel cannot be guaranteed. Summary of the invention

[0004] The purpose of the present invention is to provide a rescue method based on coordinated linkage of unmanned intelligent systems to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A rescue method based on unmanned intelligent system coordination and linkage, comprising the following steps:

[0007] S1. Acquisition of alarm information: After receiving the alarm rescue mission, the command center collects the nature of the disaster, the basic situation of the disaster site, the traffic conditions of the roads around the disaster, and the handling of the disaster site according to the description of the caller, and preliminarily determines the types and data of rescue equipment and personnel;

[0008] S2. Disaster detection and prediction: After arriving at the disaster site, rescuers use the sensors on the drone to collect real-time data on the disaster site, and combine it with the electronic map of the disaster site; build a 3D model of the disaster area; simulate different rescue scenarios and predict the risks that may arise in the scenario, and predict the development trend of the disaster based on the current environmental conditions;

[0009] S3, Decision-making and command and dispatch: Automatically generate rescue plans and command and dispatch plans based on the data collected at the disaster site and the predicted disaster development trend; intelligently dispatch and control rescue equipment to carry out rescue operations; rescue personnel wearing smart wearable devices carry out rescue on site;

[0010] S4. Real-time adjustment of rescue plans: Real-time monitoring of changes in the location of the disaster site, and real-time transmission of on-site video footage back to the command center; then use big data technology for analysis and mining, predict material needs, and adjust rescue plans and rescue materials in a timely manner;

[0011] S5. Safety assessment and early warning analysis: The command center assesses the safety risks of the rescue workers' environment in real time and issues corresponding early warning signals;

[0012] S6. Rescue records and disaster assessment: Disaster data, video surveillance and on-site conditions collected during the rescue process are automatically analyzed and identified to identify possible causes of the disaster and responsible parties; based on the degree of damage and structural safety at the disaster site, the disaster level is assessed, and a recovery plan and post-disaster resource allocation plan are formulated.

[0013] As a further solution of the present invention: in the step S1, the nature of the disaster includes natural disasters, accident disasters, social security incidents and dangerous goods leakage disasters;

[0014] The basic situation of the disaster site includes the nature of the unit, key parts, sources of danger, and internal fire protection facilities;

[0015] Traffic conditions on roads around the disaster include road surface conditions, road maintenance conditions, and traffic control conditions;

[0016] The disaster site handling situation includes the disaster site and surrounding conditions, the trapped people and casualties, the stage and development trend of the disaster, the on-site meteorological conditions and the gas composition in the air.

[0017] As a further solution of the present invention: in the step S2, the sensor equipment equipped on the drone includes a high-definition camera, a laser radar, an infrared thermal imager, a wind speed and direction sensor, and a smoke concentration sensor.

[0018] As a further solution of the present invention: in the step S3, the smart wearable device worn by the rescuers includes a smart bracelet and an AR helmet, wherein the bracelet is used to monitor the rescuers' heart rate, body temperature, and breathing indicators in real time, and transmit them back to the command center in real time; the AR helmet is used to superimpose data information on the rescuers' field of view, and generate a rescue route to guide the rescuers to the designated location; and realize real-time sharing of information among rescuers.

[0019] As a further solution of the present invention: in the step S4, the rescue plan and the method for adjusting the rescue material are as follows:

[0020] S41. Task priority analysis: Based on the urgency of the task and the availability of resources, automatically generate the priority of the rescue task, preliminarily determine the rescue order, and preliminarily allocate resources according to historical data and experience rules;

[0021] S42, deployment of rescue equipment and personnel: collect the priority levels of different disaster occurrence points, as well as the distance and position relationship between different disaster occurrence points; determine the disaster occurrence points with priority rescue, and dynamically adjust resource allocation;

[0022] S43. Analysis of rescue personnel situation: Collect the location, number and status of rescue personnel, and provide real-time location and status information of rescue personnel, so that the command center can grasp the progress of the rescue operation and make timely personnel adjustments.

[0023] As a further solution of the present invention: in the step S41, the priority levels of the rescue mission are divided into levels I to V, wherein level I indicates that the area is the most severely affected by the disaster and the consequences of the disaster are the greatest, and level V indicates that the area is the least affected by the disaster and the consequences of the disaster are the least.

[0024] As a further solution of the present invention: in the step S4, the material demand includes material quantity demand, material quality demand and material structure demand; wherein,

[0025] The material quantity requirement is used to meet the minimum quantity of materials needed by people in the disaster area after a disaster occurs;

[0026] Material quality requirements are used to meet the minimum material quality required for basic living of people in the disaster area after a disaster occurs;

[0027] The material structure demand is used to determine the structural proportion relationship between various types of materials to meet the needs of people in the disaster area after a disaster occurs.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention realizes coordinated rescue through alarm information acquisition, disaster investigation and prediction, decision-making and command dispatch, real-time adjustment of rescue plans, safety assessment and early warning analysis, rescue records and disaster assessment in sequence, thereby improving the efficiency and quality of rescue operations, and also improving the safety and sustainability of rescue personnel; it can efficiently complete rescue tasks and reduce casualties and property losses. DETAILED DESCRIPTION

[0030] In an embodiment of the invention, a rescue method based on coordinated linkage of an unmanned intelligent system comprises the following steps:

[0031] S1. Acquisition of alarm information: After receiving the alarm rescue mission, the command center collects the nature of the disaster, the basic situation of the disaster site, the traffic conditions of the roads around the disaster, and the handling of the disaster site according to the description of the caller, and preliminarily determines the types and data of rescue equipment and personnel;

[0032] S2. Disaster detection and prediction: After arriving at the disaster site, rescuers use the sensors on the drone to collect real-time data on the disaster site, and combine it with the electronic map of the disaster site; build a 3D model of the disaster area; simulate different rescue scenarios and predict the possible risks of the scenario, and predict the development trend of the disaster based on the current environmental conditions; for example, combine weather information to predict the development and spread of the disaster, and provide reasonable rescue suggestions;

[0033] S3, Decision-making and command and dispatch: Automatically generate rescue plans and command and dispatch plans based on the data collected at the disaster site and the predicted development trend of the disaster; for example, automatically dispatch the nearest rescue team and resources to the disaster area based on the scale and location of the disaster, and optimize multiple goals to generate the best rescue path and action plan; and intelligently dispatch and control drones, robots and rescue equipment to perform rescue operations, such as drones carrying fire-fighting equipment to perform fire-fighting tasks; fire-fighting equipment can be fire-fighting bombs, fire-fighting tanks, window-breaking bombs or fire hoses; drones carrying rescue supplies perform delivery tasks, such as delivering medical kits and safety ropes; after the fire is under control, assist trapped people in evacuating by delivering life-saving equipment or indicating evacuation routes to ensure their safety; rescuers wearing smart wearable devices carry out on-site rescue;

[0034] S4. Real-time adjustment of rescue plans: Real-time monitoring of changes in the location of disasters on site, such as changes in the location of fire sources, changes in flood water areas, and changes in the location of collapsed houses after an earthquake; and real-time transmission of on-site video images to the command center, and then use big data technology for analysis and mining, predict material needs, and timely adjust rescue plans and rescue materials to achieve coordinated and linked rescue, which can greatly improve the efficiency and quality of rescue operations, and also improve the safety and sustainability of the rescue industry;

[0035] S5. Safety assessment and early warning analysis: The command center assesses the safety risks of the environment in which the rescuers are located in real time and issues corresponding early warning signals. For example, when the wind direction changes and the rescuers are located downwind of the fire scene, an alarm is automatically issued to the rescuers to remind them to respond in time, such as evacuating to a safe area or upwind in time to avoid inhaling thick smoke or being surrounded by the fire.

[0036] S6. Rescue records and disaster assessment: Disaster data, video surveillance and on-site conditions collected during the rescue process are automatically analyzed and identified to identify possible causes of the disaster and responsible parties; based on the degree of damage and structural safety at the disaster site, the disaster level is assessed, and a recovery plan and post-disaster resource allocation plan are formulated.

[0037] Preferably, in step S1, the nature of the disaster includes natural disasters, accident disasters, social security incidents, and dangerous goods leakage disasters;

[0038] The basic situation of the disaster site includes the nature of the unit, key parts, sources of danger, and internal fire protection facilities;

[0039] Traffic conditions on roads around the disaster include road surface conditions, road maintenance conditions, and traffic control conditions;

[0040] The disaster site handling situation includes the disaster site and surrounding conditions, the trapped people and casualties, the stage and development trend of the disaster, the on-site meteorological conditions and the gas composition in the air.

[0041] Preferably, in step S2, the sensor equipment equipped on the drone includes a high-definition camera, a lidar, an infrared thermal imager, a wind speed and direction sensor, and a smoke concentration sensor.

[0042] Preferably, in step S3, the smart wearable device worn by the rescuers includes a smart bracelet and an AR helmet, wherein the bracelet is used to monitor the rescuers' heart rate, body temperature, and breathing indicators in real time, and transmit them back to the command center in real time, thereby effectively avoiding the rescuers' physical overdraft and causing accidents; the AR helmet is used to superimpose data information on the rescuers' field of view, and generate a rescue route to guide the rescuers to the designated location; and to realize real-time sharing of information among rescuers, so as to efficiently complete the rescue mission and reduce casualties and property losses.

[0043] Preferably, in step S4, the rescue plan and the method for adjusting the rescue material are as follows:

[0044] S41. Task priority analysis: Based on the urgency of the task and the availability of resources, the priority of the rescue task is automatically generated, the rescue order is preliminarily determined, and resources are preliminarily allocated according to historical data and empirical rules; for example, after an earthquake, based on the severity of the damage in the earthquake zone and the surrounding environment, it is preliminarily determined that most rescue teams and rescue equipment will be transferred to the most severely affected areas;

[0045] S42. Allocation of rescue equipment and personnel: Collect the priority levels of different disaster occurrence points, as well as the distance and position relationship between different disaster occurrence points; determine the disaster occurrence points with priority rescue, and dynamically adjust resource allocation. For example, if a fire occurs in multiple places in a forest farm, among which the Level I rescue task location is far away from the location of the rescue personnel, and the rescue personnel and equipment are not easy to reach, and the rescue task priority levels of the surrounding disaster occurrence points are all low; while the Level II rescue task location is close to the location of the rescue personnel, and the rescue personnel and equipment can be quickly reached, and the surrounding disaster occurrence points are all Level II or Level III; then resources will be allocated to rescue the disaster occurrence point first, and the resource allocation of the Level I rescue task location will be reduced, otherwise the disaster may be further expanded;

[0046] S43. Analysis of rescue personnel's situation: Collect the location, number and status of rescue personnel, and provide real-time location and status information of rescue personnel, so that the command center can grasp the progress of the rescue operation and make timely personnel adjustments; for example, after a fire occurs, monitor the travel speed and real-time road conditions of rescue personnel, generate the shortest travel path, the optimal path and the best rescue formation to ensure the smooth progress of the rescue operation. If the shortest travel path may have traffic congestion, resulting in large rescue equipment unable to arrive at the scene smoothly, the rescue path will be adjusted in real time.

[0047] Preferably, in step S41, the priority levels of the rescue mission are divided into levels I to V, wherein level I indicates that the area is the most severely affected and has caused the greatest harmful consequences, and rescue should be given priority; level V indicates that the area is the least affected and has caused the least harmful consequences, and rescue can be postponed.

[0048] Preferably, in step S4, the material demand includes material quantity demand, material quality demand and material structure demand; so that the basic needs of people in the disaster area can be met as much as possible when materials, rescue personnel and rescue equipment are insufficient; wherein,

[0049] The material quantity demand is used to meet the minimum quantity of materials needed by people in the disaster area after a disaster occurs. For example, after a flood occurs, 200 bottles of mineral water and 200 boxes of instant biscuits are needed. The higher the disaster level, the larger the affected area, and the greater the population density around the incident, the greater the quantity of materials required.

[0050] Material quality requirements are used to meet the minimum material quality required for basic living of people in the disaster area after a disaster occurs;

[0051] The material structure demand is used to determine the structural proportion relationship between various types of materials that meet the needs of people in the disaster area after a disaster occurs. For example, in the area where the new coronavirus occurs, the proportion relationship between masks, disinfectants, and antipyretics is required.

[0052] What is described above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A rescue method based on coordinated linkage of unmanned intelligent systems, characterized in that: The following steps are involved: S1. Acquisition of alarm information: After receiving the alarm rescue mission, the command center collects the nature of the disaster, the basic situation of the disaster site, the traffic conditions of the roads around the disaster, and the handling of the disaster site according to the description of the caller, and preliminarily determines the types and data of rescue equipment and personnel; S2. Disaster detection and prediction: After arriving at the disaster site, rescuers use the sensors on the drone to collect real-time data on the disaster site, and combine it with the electronic map of the disaster site; build a 3D model of the disaster area; simulate different rescue scenarios and predict the risks that may arise in the scenario, and predict the development trend of the disaster based on the current environmental conditions; S3, Decision-making and command and dispatch: Automatically generate rescue plans and command and dispatch plans based on the data collected at the disaster site and the predicted disaster development trend; intelligently dispatch and control rescue equipment to carry out rescue operations; rescue personnel wearing smart wearable devices carry out rescue on site; S4. Real-time adjustment of rescue plans: Real-time monitoring of changes in the location of the disaster site, and real-time transmission of on-site video footage back to the command center; then use big data technology for analysis and mining, predict material needs, and adjust rescue plans and rescue materials in a timely manner; S5. Safety assessment and early warning analysis: The command center assesses the safety risks of the rescue workers' environment in real time and issues corresponding early warning signals; S6. Rescue records and disaster assessment: Collect disaster data, video surveillance and on-site conditions during the rescue process to automatically analyze and identify the possible causes and responsible parties of the disaster; Then, based on the degree of damage and structural safety at the disaster site, the disaster level is assessed, and a recovery plan and post-disaster resource allocation plan are formulated.

2. A rescue method based on coordinated linkage of unmanned intelligent systems according to claim 1, characterized in that: In the step S1, the nature of the disaster includes natural disasters, accident disasters, social security incidents, and dangerous goods leakage disasters; The basic situation of the disaster site includes the nature of the unit, key parts, sources of danger, and internal fire protection facilities; Traffic conditions on roads around the disaster include road surface conditions, road maintenance conditions, and traffic control conditions; The disaster site handling situation includes the disaster site and surrounding conditions, the trapped people and casualties, the stage and development trend of the disaster, the on-site meteorological conditions and the gas composition in the air.

3. A rescue method based on coordinated linkage of unmanned intelligent systems according to claim 1, characterized in that: In the step S2, the sensor equipment equipped on the drone includes a high-definition camera, a laser radar, an infrared thermal imager, a wind speed and direction sensor, and a smoke concentration sensor.

4. A rescue method based on coordinated linkage of unmanned intelligent systems according to claim 1, characterized in that: In the S3 step, the smart wearable devices worn by the rescuers include smart bracelets and AR helmets, wherein the smart bracelets are used to monitor the rescuers' heart rate, body temperature, and breathing indicators in real time, and transmit them back to the command center in real time; the AR helmets are used to superimpose data information on the rescuers' field of view, generate rescue routes, and guide rescuers to designated locations, thereby realizing real-time information sharing among rescuers.

5. The rescue method based on coordinated linkage of unmanned intelligent systems according to claim 1, characterized in that: In the step S4, the rescue plan and the method for adjusting the rescue material are as follows: S41. Task priority analysis: Based on the urgency of the task and the availability of resources, automatically generate the priority of the rescue task, preliminarily determine the rescue order, and preliminarily allocate resources according to historical data and experience rules; S42, deployment of rescue equipment and personnel: collect the priority levels of different disaster occurrence points, as well as the distance and position relationship between different disaster occurrence points; determine the disaster occurrence points with priority rescue, and dynamically adjust resource allocation; S43. Analysis of rescue personnel situation: Collect the location, number and status of rescue personnel, and provide real-time location and status information of rescue personnel, so that the command center can grasp the progress of the rescue operation and make timely personnel adjustments.

6. A rescue method based on coordinated linkage of unmanned intelligent systems according to claim 1, characterized in that: In the step S41, the priority levels of the rescue mission are divided into levels I to V, wherein level I indicates that the area is the most severely affected by the disaster and causes the greatest harm, and level V indicates that the area is the least affected by the disaster and causes the least harm.

7. The rescue method based on coordinated linkage of unmanned intelligent systems according to claim 1, characterized in that: In the step S4, the material requirements include material quantity requirements, material quality requirements and material structure requirements; wherein, The material quantity requirement is used to meet the minimum quantity of materials needed by people in the disaster area after a disaster occurs; Material quality requirements are used to meet the minimum material quality required for basic living of people in the disaster area after a disaster occurs; The material structure demand is used to determine the structural proportion relationship between various types of materials to meet the needs of people in the disaster area after a disaster occurs.