Fire fighting space planning management method and system based on fire fighting truck

Abstract

The invention relates to the technical field of resource planning, in particular to a fire fighting space planning management method and system based on a fire fighting truck, and the method comprises the following steps: collecting the position, speed and water volume data of the fire fighting truck based on a sensor installed on the fire fighting truck, and calculating the current response time of each fire station; according to the invention, the position, speed and water volume data of the fire-fighting vehicle are collected and analyzed in real time through the sensor installed on the fire-fighting vehicle, so that the real-time state result of resources is generated, and the availability and scheduling requirements of the fire-fighting vehicle are updated in real time. According to the dynamic scheduling based on real-time data, the fire department can quickly adapt to constantly changing emergency situations, and the emergency response speed and accuracy are improved. And through integration of real-time traffic information, the route arrangement of the fire-fighting vehicle is optimized, so that the fire-fighting vehicle can adopt the most effective route to quickly arrive at the scene in an emergency.

Description

Technical Field

[0001] The present invention relates to the technical field of resource planning, and in particular to a fire fighting space planning and management method and system based on a fire fighting truck. Background Art

[0002] The field of resource planning technology mainly involves systematic methods and tools for effectively managing and allocating an organization's resources to optimize its operational efficiency and responsiveness. Resource planning becomes particularly critical in public safety and emergency service response such as fire services. Data analysis is used to ensure that resources can be allocated and dispatched in the most efficient way.

[0003] However, existing technologies lack the ability to respond quickly to real-time changes, especially in emergency situations. Due to the inability to effectively integrate real-time traffic information, fire trucks are unable to optimize their routes during emergency response, which increases the time it takes to arrive at the scene. The lack of continuous monitoring of the real-time status of fire trucks also limits the ability to dynamically adjust resource allocation. Once a fire truck is dispatched, its path and resource allocation are difficult to optimize according to real-time conditions. This slows down response speed, reduces resource utilization efficiency, increases operating costs, and may affect the effectiveness of emergency response. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a fire fighting space planning and management method and system based on a fire truck.

[0005] In order to achieve the above object, the present invention adopts the following technical solution, a fire fighting space planning and management method based on a fire fighting vehicle, comprising the following steps:

[0006] Based on the sensors installed on the fire trucks, the location, speed and water volume data of the fire trucks are collected, the current response time of each fire station is calculated, and the real-time status results of resources are generated. Based on the real-time status results of resources, the availability and dispatch requirements of the fire trucks are updated in real time to obtain a dispatch requirement table of fire trucks;

[0007] Based on the fire truck dispatch demand table, the geographical distribution and types of past fire alarm incidents are analyzed, the emergency response demand of each area is calculated according to the geographical distribution of past fire alarm incidents, the emergency response demand is summarized to obtain a predicted resource demand analysis table, the mission importance of each fire station is evaluated according to the predicted resource demand analysis table, and a fire resource priority list is generated;

[0008] Using the forecast resource demand analysis table and the fire resource priority list, combined with real-time traffic information, the fire truck route is updated to obtain the optimized fire truck route arrangement;

[0009] After executing the optimized fire truck route arrangement, the position and status of each fire truck are continuously monitored, and resource allocation and route planning are adjusted according to the position and status of each fire truck to deal with emergencies, and adjustment results are generated.

[0010] Preferably, the steps of obtaining the real-time status result of the resource are:

[0011] Based on the sensors installed on the fire trucks, the location, speed and water volume data of the fire trucks are collected to obtain real-time fire truck data;

[0012] The vehicle response time of each fire station is calculated based on the real-time fire vehicle data. The calculation formula is:

[0013]

[0014] Among them, T response is the vehicle response time, S is the distance to the fire location, V is the average speed of the fire truck, W is the amount of water carried by the fire truck, and Y is the coefficient of the water volume adjustment response time;

[0015] Based on the vehicle response time, the current real-time status results of resources of each fire station are generated.

[0016] Preferably, the steps for obtaining the fire truck dispatch demand table are:

[0017] Based on the real-time status results of the resources, the current availability and emergency response capability of each fire truck are evaluated to obtain a real-time availability evaluation of each fire truck;

[0018] According to the real-time availability evaluation of each fire truck, the dispatch priority of the fire truck is calculated as follows:

[0019]

[0020] Among them, P i represents the dispatch priority of the i-th fire truck, U i represents the availability of the i-th fire truck, D i represents the emergency response demand of the i-th fire truck, α and β are dispatch weight parameters, γ is the adjustment coefficient, and e is the base of the natural logarithm;

[0021] A fire truck dispatch requirement table is generated according to the dispatch priority.

[0022] Preferably, the steps for obtaining the forecast resource demand analysis table are:

[0023] Based on the fire truck dispatch demand table, analyzing the geographical distribution and types of past fire alarm events to obtain geographical distribution statistics of fire alarm events;

[0024] According to the geographical distribution statistics of the fire alarm incidents, the emergency response demand index of each region is calculated using the following formula:

[0025]

[0026] Among them, R k represents the emergency response demand index of the kth region, F j represents the occurrence frequency of the jth type of fire alarm event, d jk represents the average distance between the j-th fire alarm event and the k-th area, and m represents the total number of fire alarm types;

[0027] Summarize the emergency response demand index for each region and generate a forecast resource demand analysis table.

[0028] Preferably, the steps for obtaining the fire resource priority list are:

[0029] According to the forecast resource demand analysis table, the total emergency response demand in the area covered by each fire station is evaluated to obtain a summary of the emergency response demand of each fire station;

[0030] Based on the summary of emergency response requirements of each fire station, the mission importance of each fire station is calculated using the following formula:

[0031]

[0032] Among them, I s represents the mission importance of the s-th fire station, q k represents the influence coefficient of the kth region, R k represents the emergency response demand of the kth region, b k and c k is the adjustment coefficient, n is the number of regions;

[0033] Generate a priority list of firefighting resources based on the mission importance of each fire station.

[0034] Preferably, the steps for obtaining the optimized fire truck route arrangement are:

[0035] Based on the predicted resource demand analysis table and the fire resource priority list, determine the priority of each fire station and the emergency response demand of the corresponding area, and obtain a summary of the priority and response demand of the fire station;

[0036] Combined with the priority and response demand summary of the fire station, using real-time traffic information, the path selection of each fire truck is optimized, and the total travel time of the optimized path is calculated. The calculation formula is:

[0037]

[0038] Among them, T opt represents the optimized total travel time, t i represents the basic travel time from the fire station to the i-th location, v i represents the traffic congestion index of the i-th location, ∈ is the congestion adjustment factor, and ω represents the number of locations that need to respond;

[0039] According to the total driving time, the travel path of the fire truck is updated to obtain an optimized fire truck path arrangement.

[0040] Preferably, the steps of obtaining the adjustment result are:

[0041] After executing the optimized fire truck route arrangement, the position and status of each fire truck are continuously monitored by the GPS installed on each fire truck to obtain real-time fire truck position and status data;

[0042] Based on the real-time fire truck location and status data, the response capability of each fire truck to an emergency is evaluated in real time, and factors affecting the response efficiency are monitored to obtain an operational status evaluation of the fire truck;

[0043] Based on the operation status evaluation and real-time traffic information of the fire truck, adjust the fire resource allocation and path planning, optimize the dispatch strategy of the fire truck to deal with emergencies, and generate an adjusted fire truck path and resource allocation plan;

[0044] The adjusted fire truck routing and resource allocation plan is implemented, and the adjustment results are fed back.

[0045] The present invention provides a fire protection space planning and management system, comprising:

[0046] Real-time data collection and analysis module, which collects sensor data installed on fire trucks in real time, including location, speed, and water volume data, calculates the response time of each fire station, and generates real-time resource status reports based on the collected data;

[0047] The resource demand forecasting and prioritization module analyzes the geographical distribution and types of past fire alarms based on real-time resource status reports, obtains the emergency response requirements of each area, generates an emergency response requirement table, and determines the mission importance of the fire station based on the emergency response requirement table to obtain a fire resource priority list;

[0048] The route optimization and resource allocation module uses the fire resource priority list and real-time traffic information to update the travel path of the fire truck and optimize the route arrangement of the fire truck. After implementation, it continuously monitors the location and status of each fire truck and adjusts resource allocation and route planning according to changes.

[0049] Compared with the prior art, the advantages and positive effects of the present invention are:

[0050] The present invention realizes the real-time collection and analysis of the location, speed and water volume data of fire trucks through sensors installed on fire trucks, thereby generating real-time resource status results and updating the availability and scheduling requirements of fire trucks in real time. This dynamic scheduling based on real-time data enables the fire department to quickly adapt to changing emergency situations and improve the speed and accuracy of emergency response. By integrating real-time traffic information, the route arrangement of fire trucks is optimized to ensure that fire trucks can take faster routes to quickly arrive at the scene in an emergency. In addition, continuous monitoring of the location and status of fire trucks allows for instant adjustment of resource allocation and route planning to cope with sudden changes, thereby improving flexibility and response efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the steps of the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0053] See also Figure 1 The present invention provides a technical solution, a fire fighting space planning and management method based on a fire fighting vehicle, comprising the following steps:

[0054] Based on the sensors installed on the fire trucks, the location, speed and water volume data of the fire trucks are collected, the current response time of each fire station is calculated, and the real-time status results of resources are generated. Based on the real-time status results of resources, the availability and dispatch requirements of the fire trucks are updated in real time to obtain the dispatch requirement table of the fire trucks;

[0055] Based on the fire truck dispatch demand table, analyze the geographical distribution and types of past fire incidents, calculate the emergency response demand of each area according to the geographical distribution of past fire incidents, summarize the emergency response demand to obtain a predicted resource demand analysis table, evaluate the mission importance of each fire station according to the predicted resource demand analysis table, and generate a fire resource priority list;

[0056] Using the forecast resource demand analysis table and the fire resource priority list, combined with real-time traffic information, the fire truck route is updated to obtain the optimized fire truck route arrangement;

[0057] After executing the optimized fire truck route arrangement, the location and status of each fire truck are continuously monitored, and resource allocation and route planning are adjusted according to the location and status of each fire truck to deal with emergencies and generate adjustment results.

[0058] The steps to obtain the real-time status results of resources are as follows:

[0059] Based on the sensors installed on the fire trucks, the location, speed and water volume data of the fire trucks are collected to obtain real-time fire truck data;

[0060] Based on the real-time fire vehicle data, the vehicle response time of each fire station is calculated using the following formula:

[0061]

[0062] Among them, T response is the vehicle response time, S is the distance to the fire location, V is the average speed of the fire truck, W is the amount of water carried by the fire truck, and Y is the coefficient of the water volume adjustment response time;

[0063] Generate the current real-time status results of resources at each fire station based on the vehicle response time.

[0064] The process of collecting data through sensors installed on fire trucks involves continuous tracking of position and movement speed by GPS positioning sensors and speed sensors. At the same time, water level sensors monitor the water level status of water tanks on fire trucks. The data generated by these sensors are transmitted to the central monitoring system in real time through the on-board system. Real-time fire truck data includes longitude and latitude coordinates, distance traveled per second, and the remaining water in the water tank. These data are used for subsequent response time calculations and path optimization to ensure the real-time and accuracy of fire response. After the real-time data of fire trucks are collected, they provide the fire command center with first-hand emergency response information.

[0065] formula The benefit of is that by combining the three key variables of distance, speed and water volume, it provides a method to calculate the time required for fire trucks to arrive at the fire scene, which is crucial for resource scheduling and priority allocation in emergency situations; parameter T response is the total response time required for the fire truck to reach the fire scene, which is calculated by the sum of the driving time and the preparation time; parameter S is the distance to the fire scene, which is obtained through real-time data from the fire station to the accident site through the GPS system; parameter V is the average speed of the fire truck, which is monitored and recorded in real time by the vehicle speed sensor; parameter W is the amount of water carried by the fire truck, which is measured in real time by the on-board water volume sensor; parameter Y is the adjustment coefficient of water volume to response time, which is usually set by the fire department based on past experience and reflects the impact of water volume preparation time on the total response time.

[0066] Calculation process: The distance S from the fire truck to the fire scene is 5 kilometers, the average speed V of the fire truck is 60 kilometers per hour, the water volume W on the truck is 1500 liters, and the coefficient Y of the water volume adjustment response time is 300 liters per minute. Then the response time T response The calculation process is:

[0067]

[0068] T response =5min+5min=10min

[0069] The results show that the response time of the fire truck is 10 minutes, which means the time required from receiving the alarm to arriving at the fire scene. The length of this time directly affects the timeliness and effectiveness of fire extinguishing.

[0070] By calculating the vehicle response time of each fire station in real time, the fire command center can obtain key resource status information. This process covers the process from real-time analysis of data to the generation of status results. The real-time status results of resources at each fire station provide the command center with the immediate availability of equipment and personnel at each station, as well as their ability to respond to current fire incidents. This result helps the command center optimize resource allocation and scheduling strategies, and enhances the efficiency and effectiveness of responding to emergencies. The current real-time status results of resources at each fire station indicate the actual combat readiness status of each station at a specific moment.

[0071] The steps to obtain the fire truck dispatch demand table are:

[0072] Based on the real-time status results of resources, the current availability and emergency response capability of each fire truck is evaluated to obtain the real-time availability evaluation of each fire truck;

[0073] According to the real-time availability evaluation of each fire truck, the dispatch priority of the fire truck is calculated as follows:

[0074]

[0075] Among them, P i represents the dispatch priority of the i-th fire truck, U i represents the availability of the i-th fire truck, D i represents the emergency response demand of the i-th fire truck, α and β are dispatch weight parameters, γ is the adjustment coefficient, and e is the base of the natural logarithm;

[0076] Generate a fire truck dispatch demand table based on dispatch priorities.

[0077] Specifically, based on the real-time status results of resources, the current availability and emergency response capability of each fire truck is calculated through the data collected in real time by sensors installed on the fire trucks, such as location, speed, and water volume.

[0078] formula The benefits of U are as follows: by introducing the adjustment coefficient γ and the exponential function, the dispatch priority of the fire truck can more flexibly reflect the difference between the availability and demand of the fire truck, which helps to allocate fire resources more accurately and improves the adaptability to emergency response scenarios; the parameter U i is the availability of the i-th fire truck set based on the real-time status of resources, which is obtained by analyzing the position, speed and water volume data collected by the sensors installed on the fire truck; parameter D i is the emergency response demand of the i-th fire truck based on the analysis of past fire alarm events, which is obtained by analyzing the frequency and severity of emergency events through historical data; parameters α and β are dispatch weight parameters, which are optimized and set according to the historical dispatch efficiency and response success rate; parameter γ is the adjustment coefficient, which is adjusted by simulating the response time and success rate in different scenarios; parameter e is the base of the natural logarithm, which is a constant and directly uses the mathematical definition value.

[0079] Calculation process: U i =0.9 (indicating high availability of fire trucks), D i =0.8 (indicating a large emergency response demand), weight parameters α=0.5 and β=0.5, adjustment coefficient γ=3, and the formula is calculated:

[0080]

[0081] The dispatch priority is 0.488, which means that this fire truck has a high dispatch priority in emergency situations and can effectively respond to emergencies.

[0082] By calculating the dispatch priority of each fire truck, combined with the actual location of the fire truck and the estimated time of arrival at the accident scene, a detailed fire truck dispatch demand table can be generated. The table not only lists the dispatch priority of each vehicle, but also includes the estimated arrival time and current status. Such comprehensive information helps the command center make quick decisions and obtain a fire truck dispatch demand table.

[0083] The steps to obtain the forecast resource demand analysis table are:

[0084] Based on the fire truck dispatch demand table, the geographical distribution and types of past fire incidents are analyzed to obtain the geographical distribution statistics of fire incidents;

[0085] According to the geographical distribution statistics of fire incidents, the emergency response demand index of each region is calculated using the following formula:

[0086]

[0087] Among them, R k represents the emergency response demand index of the kth region, F j represents the occurrence frequency of the jth type of fire alarm event, d jk represents the average distance between the j-th fire alarm event and the k-th area, and m represents the total number of fire alarm types;

[0088] Summarize the emergency response demand index for each region and generate a forecast resource demand analysis table.

[0089] Based on the fire truck dispatch demand table, by analyzing the fire alarm events in the historical data, the frequency and geographical distribution of various fire alarm events in the past were counted, so as to establish a detailed fire alarm event geographical distribution database. This database includes key information such as the location of each type of fire alarm, the number of occurrences, and the distance to the nearest fire station. These data are derived from many years of fire alarm records and fire station reports. In the process of data collection and collation, Geographic Information System (GIS) technology is used to accurately calibrate the location of each event, and the database management system is used to clean and pre-process the data to ensure the accuracy and reliability of the data, so as to provide a scientific basis for the dispatch of fire trucks and resource allocation.

[0090] formula The benefit of F is that it can calculate the emergency response demand based on the frequency of fire incidents and the distance to the fire station, making resource allocation more efficient; parameter F j is the occurrence frequency of the jth type of fire alarm event, obtained through the analysis of historical fire alarm record data; parameter d jk is the average distance between the jth type of fire alarm event and the kth area, which is collected and calculated through the Geographic Information System (GIS); the parameter m is the total number of fire alarm types, which is obtained by counting different types of fire alarm events in past records.

[0091] Calculation process: There are three types of fire alarms in area A. The frequency of type 1 fire alarms is 0.5 times / year, and the distance to the nearest fire station is 3 kilometers; the frequency of type 2 fire alarms is 0.3 times / year, and the distance is 2 kilometers; the frequency of type 3 fire alarms is 0.2 times / year, and the distance is 5 kilometers. The calculation of emergency response demand is:

[0092]

[0093] The results show that the emergency response demand index of region A is 0.1386, which means that the demand for firefighting resources in this region is relatively low;

[0094] The emergency response needs of each area are summarized. By calculating the emergency response demand index of each area, combined with the population density, building type and historical fire alarm data in the area, a linear regression model is used to predict future resource needs. The model takes into account the flammability of different types of buildings and the density of the regional population to estimate the amount of firefighting resources that may be needed in each area in the future. The establishment of the prediction model is based on the statistical analysis of a large amount of historical data. Through the comparative analysis of historical data and future trends, a predicted resource demand analysis table is generated. The table lists the expected resource needs of each area, providing a scientific basis for the resource allocation and scheduling of the fire department.

[0095] The steps to obtain the fire resource priority list are:

[0096] According to the forecast resource demand analysis table, the total emergency response demand in the area covered by each fire station is evaluated to obtain the summary of the emergency response demand of each fire station;

[0097] Based on the summary of emergency response requirements of each fire station, the mission importance of each fire station is calculated using the following formula:

[0098]

[0099] Among them, I s represents the mission importance of the s-th fire station, q k represents the influence coefficient of the kth region, R k represents the emergency response demand of the kth region, b k and c k is the adjustment coefficient, n is the number of regions;

[0100] Generate a priority list of firefighting resources based on the mission importance of each fire station.

[0101] Specifically, according to the forecast resource demand analysis table, the process of summarizing the emergency response demand of each fire station begins with the classification and analysis of all known fire incident data. These data include the location, type and corresponding response time of the accident. Through database query and geographic information system analysis, the total number of fire incidents and the proportion of each type of fire incident in each area are obtained. Then, these data are matched with the geographical location of each fire station to calculate the emergency response demand within the coverage area. This process requires weighting various types of fire incidents according to their urgency and frequency of occurrence, and calculating the average emergency response demand that each fire station needs to face. Finally, a summary of the emergency response demand of each fire station is generated. This result provides data support for the resource allocation and dispatch of the fire station.

[0102] formula The benefits of I are that it can smoothly handle extreme values ​​of response demand, ensuring that the importance assessment of the fire station will not fluctuate too much in the case of extreme emergency demand, thus making resource allocation more reasonable and effective; parameter I s It is calculated by weighting the emergency response demand and the regional impact coefficient; the parameter q k The parameter R is obtained through the analysis of historical fire alarm data, which represents the influence coefficient of different areas on the importance of fire station tasks. k It is obtained through the statistical data of emergency response needs in each area, reflecting the fire frequency and urgency in different areas; parameter b k and c k is obtained through historical data analysis and experience adjustment, b k Adjust the response demand value R k The contribution strength to the task importance, and c k is the offset of the adjustment, making the model more in line with the actual situation; the setting of each parameter is based on actual monitoring data and historical analysis to ensure its applicability and accuracy in the model;

[0103] Calculation process: A fire station covers three areas. The emergency response requirements of these three areas are R k The influence coefficients are 10, 20, and 30 respectively. k They are 0.5, 1.5, 2.0 respectively, and the adjustment coefficient b k and c k They are 0.1 and 5 respectively. Each parameter in the formula is obtained through historical data analysis and real-time monitoring. The calculation process is as follows:

[0104] R1=10, q1=0.5, b1=0.1, c1=5

[0105] R2=20, q2=1.5, b2=0.1, c2=5

[0106] R3=30, q3=2.0, b3=0.1, c3=5

[0107]

[0108] I s ≈0.378+1.287+1.852=3.517

[0109] The results show that the calculated fire station task importance is 3.517, indicating that this fire station faces a high emergency response demand and needs to be given priority in resource allocation and scheduling;

[0110] Based on the calculation results of the mission importance of each fire station, the priority list generation process involves sorting and classifying the mission importance of all fire stations. Through database query and algorithm processing, the relative importance of each fire station in emergency response is determined, and then adjusted in combination with the population density and historical fire alarm data of the area to ensure that the priority list reflects actual emergency needs and the rationality of resource allocation. The final generated fire resource priority list is used to guide the actual dispatch of fire vehicles and personnel. The result provides scientific dispatch decision support for the fire department.

[0111] The steps to obtain the optimized fire truck route arrangement are:

[0112] Based on the forecast resource demand analysis table and the fire resource priority list, determine the priority of each fire station and the emergency response demand of the corresponding area, and obtain the priority and response demand summary of the fire station;

[0113] Combined with the priority and response demand summary of the fire station, using real-time traffic information, the path selection of each fire truck is optimized, and the total travel time of the optimized path is calculated. The calculation formula is:

[0114]

[0115] Among them, T opt represents the optimized total travel time, t i represents the basic travel time from the fire station to the i-th location, v i represents the traffic congestion index of the i-th location, ∈ is the congestion adjustment factor, and ω represents the number of locations that need to respond;

[0116] According to the total driving time, the travel path of the fire truck is updated to obtain the optimized fire truck path arrangement.

[0117] Specifically, the predicted resource demand analysis table and the fire resource priority list are used as the basic data for determining the priorities of fire stations and emergency response needs. Combined with the geographical location and statistical data of the fire stations, the emergency response needs in the area that each fire station needs to cover are calculated, and the priorities and response needs of the fire stations are summarized.

[0118] formula The benefits of t are: it can effectively combine real-time traffic information and travel time, dynamically adjust the path by adjusting the factor ∈, and reflect the actual impact of traffic congestion on the total travel time; the parameter t i is the basic driving time from each location to the fire station obtained through real-time GPS tracking data; parameter ∈ is the congestion adjustment factor obtained through historical traffic data analysis, reflecting the average traffic congestion level in different time periods and sections; parameter v iis the real-time traffic congestion index obtained from the traffic monitoring system, which represents the traffic flow status of a specific road section within a given time; the parameter ω is the total number of locations listed in the emergency response demand plan, which is determined according to the specific fire alarm report and firefighting task requirements.

[0119] Calculation process: There are three locations that need to be responded to. The basic travel time of each location is t1 = 10 minutes, t2 = 15 minutes, t3 = 20 minutes. The traffic congestion index of the corresponding location is v1 = 0.2, v2 = 0.3, v3 = 0.4, and the congestion adjustment factor ∈ = 0.5, then:

[0120] T opt =10·(1+0.5·0.2)+15·(1+0.5·0.3)+20·(1+0.5·0.4)

[0121] T opt =10·1.1+15·1.15+20·1.2

[0122] T opt =11+17.25+24

[0123] T opt =52.25 minutes

[0124] The result shows that the total optimized travel time is 52.25 minutes, which is the shortest possible time for the fire truck to reach all necessary locations after considering the real-time traffic conditions, reflecting the time efficiency that can be achieved by optimizing the route through this formula.

[0125] In the process of updating the fire truck routes based on the optimized total driving time, the latest route of each fire truck is reconfigured to match the shortest driving time, and the final fire truck route arrangement is obtained. This route arrangement directly reflects the efficiency of emergency response and ensures that firefighting resources can arrive at the emergency scene in the shortest time.

[0126] The steps to obtain the adjustment results are:

[0127] After executing the optimized fire truck route arrangement, the location and status of each fire truck are continuously monitored through the GPS installed on each fire truck to obtain real-time fire truck location and status data;

[0128] Based on the real-time fire truck location and status data, the response capability of each fire truck to emergency events is evaluated in real time, and the factors affecting the response efficiency are monitored to obtain the operating status evaluation of the fire truck;

[0129] Based on the operation status evaluation and real-time traffic information of fire trucks, adjust the fire resource allocation and route planning, optimize the dispatch strategy of fire trucks to deal with emergencies, and generate adjusted fire truck routes and resource allocation plans;

[0130] Implement the adjusted fire truck routing and resource allocation plan and provide feedback to obtain the adjusted results.

[0131] Specifically, after executing the optimized fire truck route arrangement, the GPS system installed on each fire truck continuously monitors the position and status, updates the location data of the fire truck in real time and records its operating status. During this process, the GPS system of each fire truck sends a location signal to the central monitoring system every few seconds. At the same time, the vehicle's internal monitoring system also sends data about the vehicle's current working status, including but not limited to fuel levels, water pump functions, and the working conditions of emergency equipment. This information is aggregated in the fire department's central database to provide support for immediate data analysis and decision-making. Through these real-time data, the fire command center can quickly understand the immediate location and functional status of each fire truck, providing data support for emergency response.

[0132] Real-time assessment through real-time fire truck location and status data involves continuous monitoring of each fire truck to collect its specific location and mechanical operating status. First, the location coordinates of the fire truck are regularly updated through the geographic positioning system (GPS), while receiving data about the vehicle's operating status from on-board sensors, such as engine temperature, throttle response, and brake system status. This data is updated every minute and sent to the central database. Next, the data is analyzed using specific algorithms to identify key factors that may affect response efficiency, such as traffic jams or vehicle failures. This analysis relies on time series analysis of real-time data to identify trends and outliers. For each vehicle's data, the speed and direction of movement from the last known location to the current location are first calculated, and then these data are compared with historical performance indicators, such as average speed and failure interval time, to assess whether the vehicle's current status is normal or not. Finally, an operating status assessment of each vehicle is generated based on this assessment, providing a basis for the next step of resource allocation and route adjustment.

[0133] Based on the operation status evaluation and real-time traffic information of fire trucks, the fire resource allocation and route planning are adjusted, and the dispatch strategy of fire trucks is optimized to deal with emergencies. In this process, the real-time traffic information is first analyzed, including route congestion and possible delays, and then the specific operation status data of each fire truck is combined to recalculate the optimal route for each fire truck.

[0134] Implement the adjusted fire vehicle routes and resource allocation plan, ensure that each vehicle can travel according to the new dispatch plan through the real-time positioning system of the fire vehicle, and the real-time monitoring system continuously tracks the position and status of each vehicle to ensure that all vehicles can follow the updated route arrangement. The dispatch system will receive real-time feedback information from the vehicle, including arrival time and task execution status. This information is used to update the central database and support real-time decision-making, thereby continuously optimizing operational processes and resource allocation to ensure that the fire department can respond to various emergencies quickly and effectively. These adjustments provide the fire department with more flexible and efficient response capabilities.

[0135] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A fire fighting space planning and management method based on a fire truck, characterized in that: The following steps are involved: Based on the sensors installed on the fire trucks, the location, speed and water volume data of the fire trucks are collected, the current response time of each fire station is calculated, and the real-time status results of resources are generated. Based on the real-time status results of resources, the availability and dispatch requirements of the fire trucks are updated in real time to obtain a dispatch requirement table of fire trucks; Based on the fire truck dispatch demand table, the geographical distribution and types of past fire alarm incidents are analyzed, the emergency response demand of each area is calculated according to the geographical distribution of past fire alarm incidents, the emergency response demand is summarized to obtain a predicted resource demand analysis table, the mission importance of each fire station is evaluated according to the predicted resource demand analysis table, and a fire resource priority list is generated; Using the forecast resource demand analysis table and the fire resource priority list, combined with real-time traffic information, the fire truck route is updated to obtain the optimized fire truck route arrangement; After executing the optimized fire truck route arrangement, the position and status of each fire truck are continuously monitored, and resource allocation and route planning are adjusted according to the position and status of each fire truck to deal with emergencies, and adjustment results are generated.

2. The fire fighting space planning and management method based on fire fighting vehicles according to claim 1 is characterized in that: The steps for obtaining the real-time status result of the resource are: Based on the sensors installed on the fire trucks, the location, speed and water volume data of the fire trucks are collected to obtain real-time fire truck data; The vehicle response time of each fire station is calculated based on the real-time fire vehicle data. The calculation formula is: Among them, T response is the vehicle response time, S is the distance to the fire location, V is the average speed of the fire truck, W is the amount of water carried by the fire truck, and Y is the coefficient of the water volume adjustment response time; Based on the vehicle response time, the current real-time status results of resources of each fire station are generated.

3. The fire fighting space planning and management method based on fire fighting vehicles according to claim 1 is characterized in that: The steps for obtaining the fire truck dispatch demand table are as follows: Based on the real-time status results of the resources, the current availability and emergency response capability of each fire truck are evaluated to obtain a real-time availability evaluation of each fire truck; According to the real-time availability evaluation of each fire truck, the dispatch priority of the fire truck is calculated as follows: Among them, P i represents the dispatch priority of the i-th fire truck, U i represents the availability of the i-th fire truck, D i represents the emergency response demand of the i-th fire truck, α and β are dispatch weight parameters, γ is the adjustment coefficient, and e is the base of the natural logarithm; A fire truck dispatch requirement table is generated according to the dispatch priority.

4. The fire fighting space planning and management method based on fire fighting vehicles according to claim 1 is characterized in that: The steps for obtaining the forecast resource demand analysis table are: Based on the fire truck dispatch demand table, analyzing the geographical distribution and types of past fire alarm events to obtain geographical distribution statistics of fire alarm events; According to the geographical distribution statistics of the fire alarm incidents, the emergency response demand index of each region is calculated using the following formula: Among them, R k represents the emergency response demand index of the kth region, F j represents the occurrence frequency of the jth type of fire alarm event, d jk represents the average distance between the j-th type of fire alarm event and the k-th area, and m represents the total number of fire alarm types; Summarize the emergency response demand index for each region and generate a forecast resource demand analysis table.

5. The fire fighting space planning and management method based on fire fighting vehicles according to claim 1 is characterized in that: The steps for obtaining the firefighting resource priority list are as follows: According to the forecast resource demand analysis table, the total emergency response demand in the area covered by each fire station is evaluated to obtain a summary of the emergency response demand of each fire station; Based on the summary of emergency response requirements of each fire station, the mission importance of each fire station is calculated using the following formula: Among them, I s represents the mission importance of the s-th fire station, q k represents the influence coefficient of the kth region, R k represents the emergency response demand of the kth region, b k and c k is the adjustment coefficient, n is the number of regions; Generate a priority list of firefighting resources based on the mission importance of each fire station.

6. The fire fighting space planning and management method based on fire fighting vehicles according to claim 1 is characterized in that: The steps for obtaining the optimized fire truck route arrangement are: Based on the predicted resource demand analysis table and the fire resource priority list, determine the priority of each fire station and the emergency response demand of the corresponding area, and obtain a summary of the priority and response demand of the fire station; Combined with the priority and response demand summary of the fire station, using real-time traffic information, the path selection of each fire truck is optimized, and the total travel time of the optimized path is calculated. The calculation formula is: Among them, T opt represents the optimized total travel time, t i represents the basic travel time from the fire station to the i-th location, v i represents the traffic congestion index of the i-th location, ∈ is the congestion adjustment factor, and ω represents the number of locations that need to respond; According to the total driving time, the travel path of the fire truck is updated to obtain an optimized fire truck path arrangement.

7. The fire fighting space planning and management method based on fire fighting vehicles according to claim 1 is characterized in that: The steps for obtaining the adjustment result are: After executing the optimized fire truck route arrangement, the position and status of each fire truck are continuously monitored by the GPS installed on each fire truck to obtain real-time fire truck position and status data; Based on the real-time fire truck location and status data, the response capability of each fire truck to an emergency is evaluated in real time, and factors affecting the response efficiency are monitored to obtain an operational status evaluation of the fire truck; Based on the operation status evaluation and real-time traffic information of the fire truck, adjust the fire resource allocation and path planning, optimize the dispatch strategy of the fire truck to deal with emergencies, and generate an adjusted fire truck path and resource allocation plan; The adjusted fire truck routing and resource allocation plan is implemented, and the adjustment results are fed back.

8. A firefighting space planning and management system according to the firefighting space planning and management method based on a fire truck according to any one of claims 1 to 7, characterized in that: include: Real-time data collection and analysis module, which collects sensor data installed on fire trucks in real time, including location, speed, and water volume data, calculates the response time of each fire station, and generates real-time resource status reports based on the collected data; The resource demand forecasting and prioritization module analyzes the geographical distribution and types of past fire alarms based on real-time resource status reports, obtains the emergency response requirements of each area, generates an emergency response requirement table, and determines the mission importance of the fire station based on the emergency response requirement table to obtain a fire resource priority list; The route optimization and resource allocation module uses the fire resource priority list and real-time traffic information to update the travel path of the fire truck and optimize the route arrangement of the fire truck. After implementation, it continuously monitors the location and status of each fire truck and adjusts resource allocation and route planning according to changes.

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