CN116822764A - Visual intelligent emergency command system of fire control - Google Patents
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Abstract
The invention relates to the technical field of fire emergency command, and particularly discloses a visual intelligent fire emergency command system.
Description
Technical Field
The invention relates to the technical field of fire emergency command, in particular to a visual intelligent fire emergency command system.
Background
Currently, as the urban construction process is continuously accelerated, high-rise underground buildings, ultra-large complex buildings and large enterprises are greatly emerging, and the traffic of people in some large buildings is often more, so that fire safety hazards exist, and a series of negative effects can be generated once a fire disaster occurs, so that when the fire disaster occurs, efficient fire emergency command needs to be carried out on rescue sites.
Today, there are also some disadvantages to the progress of the fire work, in particular at several levels: (1) In the prior art, in the process of analyzing the basic condition of a rescue place, the number of fire fighting vehicles and the number of firefighters cannot be accurately acquired, so that the situations of insufficient firefighters and insufficient number of fire fighting vehicles can occur in the rescue process, and the rescue work of the fire fighting vehicles is expanded to a greater extent to be prevented;
(2) In the prior art, the planning of the rescue path of the fire-fighting vehicle often determines the driving path of the fire-fighting vehicle according to the distance between the fire-fighting vehicle and the rescue place, but the basic condition in the road is not considered, so that the timeliness of the fire-fighting vehicle reaching the rescue place is affected to a certain extent, and the security risk of trapped personnel is indirectly and negatively affected.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a visual intelligent emergency command system for fire control, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a visual intelligent emergency command system for fire control comprises
The fire-fighting demand information receiving and processing module is used for receiving fire-fighting demand information transmitted by personnel and further processing the fire-fighting demand information to obtain basic information of rescue places;
the rescue place basic information analysis module is used for analyzing basic information of the rescue place, further preliminarily calculating a fire spreading influence degree evaluation index of the rescue place, processing the evaluation index to obtain the number of predicted fire-fighting vehicles and the number of predicted fire-fighting personnel of the rescue place, and transmitting the number of predicted fire-fighting vehicles and the number of predicted fire-fighting personnel to the emergency command feedback module;
the fire-fighting arrival path planning module is used for acquiring a geographical image of a belonging area of a rescue place and the position of each available fire-fighting vehicle, screening to obtain each appointed fire-fighting vehicle, constructing each travel path of each appointed fire-fighting vehicle to the rescue place, calibrating each rescue arrival path of each appointed fire-fighting vehicle, calculating the recommended coefficient of each appointed fire-fighting vehicle for selecting each rescue arrival path, planning the optimal rescue arrival path of each appointed fire-fighting vehicle, and transmitting the optimal rescue arrival path to the emergency command feedback module;
the rescue area priority assessment module is used for carrying out area division on the rescue place to obtain and extract basic data of all subareas of the rescue place, so that the rescue priority of all subareas of the rescue place is judged, the number of fire emergency personnel of all subareas of the rescue place is planned, and the number of fire emergency personnel is transmitted to the emergency command feedback module;
the emergency command feedback module is used for receiving the number of the expected fire-fighting vehicles and the number of the expected fire-fighting personnel in the rescue place to carry out emergency command prompt, and receiving the optimal rescue arrival path of each specified fire-fighting vehicle and the number of the fire-fighting emergency personnel in each subarea of the rescue place to carry out emergency command prompt;
the emergency command library is used for storing basic information of each place where each area belongs and storing traffic light number, flow data and accident data of each municipal road where each area belongs.
As a further scheme, the processing obtains basic information of the rescue place, and the specific processing process comprises the following steps: according to fire-fighting demand information transmitted by personnel, further confirming the geographical position of the area corresponding to the rescue place, and according to basic information of places to which each area belongs, which is stored in the emergency command library, screening to obtain basic information of the rescue place, wherein the basic information comprises the number of floors and the positions of dangerous sources, and comprises coverage areas, the number of dangerous sources and the number of indoor fire hydrants corresponding to each floor.
As a further scheme, the basic information of the rescue place is analyzed, and the specific analysis process is as follows: the floor number and the coverage area corresponding to each floor of the rescue place are extracted, and according to the predefined unit floor number and the fire spreading degree influence factor corresponding to the floor unit coverage area, the basic evaluation index of the fire spreading influence degree of the rescue place is calculated, wherein the specific calculation formula is as follows：Wherein alpha is represented as a basic evaluation index of the extent of fire spread influence of rescue sites, M and S i Floor number and coverage area corresponding to the ith floor, delta, respectively expressed as rescue places 1 And delta 2 The fire spreading degree influence factors are respectively expressed as the number of unit floors and the corresponding fire spreading degree influence factor of the unit coverage area of each floor, i is expressed as the number of each floor, i=1, 2.
According to the predefined fire spreading degree assessment factors corresponding to the number intervals of the dangerous sources and the number intervals of the fire hydrants, the fire spreading degree assessment factors corresponding to the number of the dangerous sources and the number of the indoor fire hydrants of each floor of the rescue place are extracted, and further the fire spreading influence degree depth assessment index of the rescue place is calculated, wherein the specific calculation formula is as follows:wherein beta is expressed as a fire spread influence degree depth evaluation index of rescue sites, a i And b i The fire spreading degree assessment factors are respectively expressed as the number of dangerous sources of the ith floor of the rescue place and the number of indoor fire hydrants.
As a further scheme, the fire spreading influence degree evaluation index of the rescue place comprises the following specific calculation processes: according to the geographical image of the attribution area of the rescue place, positioning the geographical image to the central point of the rescue place as a center point, dividing the geographical image into related influence areas of the rescue place according to a set radius length, and positioning the position points of all outdoor fire hydrants in the related influence areas of the rescue place, counting the distance between all the outdoor fire hydrants in the related influence areas of the rescue place and the central point of the rescue place, thereby calculating a fire spreading influence index corresponding to the outdoor fire hydrants of the rescue place, wherein the specific calculation formula is as follows:fire tendrils corresponding to outdoor hydrants in which epsilon is expressed as rescue sitesDelay impact index, j, is expressed as the number of each outdoor hydrant, j=1, 2 j The distance between the j-th outdoor fire hydrant and the central point of the rescue place is represented, and χ is represented as a fire spreading influence factor corresponding to a unit distance between the preset outdoor fire hydrant and the central point of the rescue place;
comprehensively calculating a fire spreading influence degree assessment index of the rescue place: γ=α+β+ε, where γ is expressed as a fire spread influence rating index for rescue sites.
As a further scheme, the processing obtains the predicted number of fire-fighting vehicles and the predicted number of fire-fighting personnel in the rescue place, and the specific analysis process is as follows: and matching the fire spreading influence degree evaluation index of the rescue place with the number of the predicted fire-fighting vehicles and the number of the predicted fire-fighting personnel corresponding to the set fire spreading influence degree evaluation index intervals to obtain the number of the predicted fire-fighting vehicles and the number of the predicted fire-fighting personnel of the rescue place.
As a further scheme, the specific fire-fighting vehicles select recommended coefficients of each rescue arrival path, and the specific analysis process is as follows: extracting the length of each rescue arrival path of each appointed fire truck, simultaneously counting each municipal road corresponding to each rescue arrival path of each appointed fire truck, and extracting the number of traffic lights, the flow data and the accident data of each municipal road corresponding to each rescue arrival path of each appointed fire truck according to the number of traffic lights, the flow data and the accident data of each municipal road of each area stored in an emergency command library, wherein the flow data comprises average traffic flow and average people flow of each time period, and the accident data is average accident occurrence times of each time period;
the basic recommendation index corresponding to each rescue arrival path of each appointed fire truck is calculated preliminarily, and the calculation formula is as follows:wherein mu dp The basic recommendation index L corresponding to the p-th rescue arrival path of the d-th appointed fire truck dp And SM dp Respectively denoted asThe length and the number of traffic lights corresponding to the p-th rescue arrival path of the d-th appointed fire truck, d is the number of each appointed fire truck, d=1, 2, & gt, t, p is the number of each rescue arrival path, p=1, 2, …, r, r is the number of the rescue arrival paths;
according to the current analysis time point, further matching the current time period, dividing the current time period into estimated arrival time periods according to the set quantity, simultaneously extracting the longest municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle, marking the longest municipal roads as the reference municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle, further counting the average vehicle flow, the average person flow and the average accident occurrence times of the reference municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle in each estimated arrival time period, and further calculating the depth recommendation index corresponding to each rescue arrival path of each specified fire-fighting vehicle, wherein the calculation formula is as follows:wherein sigma dp Depth recommendation index, CL, corresponding to the p-th rescue arrival path of the d-th appointed fire truck dp q 、RL dp q And SL (SL) dp q The average traffic flow, the average pedestrian flow and the average accident occurrence number of the reference municipal road corresponding to the p-th rescue arrival path of the d-th appointed fire truck in the q-th estimated arrival time period are respectively expressed, q is the number of each estimated arrival time period, and q=1, 2, … and u.
As a further scheme, the specific fire-fighting vehicles select the recommended coefficient of each rescue arrival path, and the specific calculation expression is as follows:wherein eta dp Recommended coefficient indicating that the p-th rescue arrival path is selected for the d-th specified fire truck,/->And->And respectively representing the basic recommendation index corresponding to the rescue arrival path and the weight factor corresponding to the depth recommendation index.
As a further scheme, the optimal rescue arrival path of each appointed fire truck is planned, and the specific analysis process is as follows: and selecting the recommended coefficient of each rescue arrival path according to each appointed fire-fighting vehicle, sequentially arranging the recommended coefficients according to the sequence from big to small, extracting the rescue arrival path with the first recommended coefficient, and taking the rescue arrival path as the optimal rescue arrival path of each appointed fire-fighting vehicle.
As a further scheme, the rescue priority of each subarea of the rescue place is as follows: according to the positions of dangerous sources in the rescue place, the number of dangerous sources in each subarea of the rescue place is counted, the floor height of each subarea of the rescue place is extracted, and according to the rescue priority rating factors corresponding to the predefined single dangerous source and the rescue priority rating factors of the floor unit height, the rescue priority of each subarea of the rescue place is calculated, and the calculation process is as follows:wherein lambda is g Rescue priority, W, expressed as g-th sub-area of rescue venue g And G g Respectively representing the number of dangerous sources corresponding to the g sub-area of the rescue place and the floor height corresponding to the g sub-area of the rescue place, y 1 And y 2 The rescue priority rating factors are respectively expressed as rescue priority rating factors corresponding to the single dangerous source and the rescue priority rating factors of the floor unit height, and g is expressed as the numbers of all subareas of the rescue place, and g=1, 2.
As a further scheme, the number of fire emergency personnel in each subarea of the rescue place is as follows: and matching the rescue priority of each subarea of the rescue place with the number of the expected fire emergency personnel corresponding to the set rescue priority interval to obtain the number of the fire emergency personnel of each subarea of the rescue place.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) According to the intelligent visual fire-fighting emergency command system, the intelligent level of fire-fighting emergency command for the rescue place is effectively improved, and the fire spreading influence degree assessment index of the rescue place is calculated according to the extracted basic information of the rescue place, so that powerful support can be provided for screening the number of expected fire-fighting vehicles and the number of expected fire-fighting personnel in the rescue place, the problem that rescue work cannot be effectively carried out due to the insufficient number of fire-fighting personnel and fire-fighting vehicles is solved, the effective rescue rate of trapped personnel is greatly increased, and the timeliness of the fire-fighting emergency command is improved.
(2) According to the invention, the recommended coefficient of each rescue arrival path is calculated for each appointed fire-fighting vehicle, so that the optimal rescue arrival path of each appointed fire-fighting vehicle is planned, the defect that the basic condition specific analysis of the rescue path is deficient in the prior art is effectively overcome, the targeted analysis level is improved, the considered dimension is rich and various, and the time for each fire-fighting vehicle to arrive at the rescue place is reduced greatly.
(3) According to the invention, the rescue priority of each subarea of the rescue place is obtained through calculation, the number of firefighting emergency personnel in each subarea of the rescue place is obtained through analysis, scientific and reasonable basis is effectively provided for scheduling the number of firefighting personnel corresponding to each subarea, the phenomenon of uncoordinated situation between the number of firefighting personnel matched with each subarea and the actual demand is avoided, the occurrence rate of the phenomenon of unreasonable number of firefighting personnel is reduced, and the development of firefighting rescue work is facilitated.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic diagram of a system architecture connection according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: a visual intelligent fire control emergency command system comprises a fire control demand information receiving and processing module, a rescue place basic information analysis module, a fire control arrival path planning module, a rescue area priority assessment module, an emergency command feedback module and an emergency command library.
The fire-fighting demand information receiving and processing module is connected with the rescue place basic information analysis module, the rescue place basic information analysis module is respectively connected with the fire-fighting arrival path planning module, the emergency command library and the emergency command feedback module, the fire-fighting arrival path planning module is respectively connected with the rescue area priority assessment module, the emergency command library and the emergency command feedback module, and the rescue area priority assessment module is connected with the emergency command feedback module.
The fire-fighting demand information receiving and processing module is used for receiving fire-fighting demand information transmitted by personnel and further processing the fire-fighting demand information to obtain basic information of rescue places.
Specifically, the processing obtains basic information of the rescue place, and the specific processing process comprises the following steps: according to fire-fighting demand information transmitted by personnel, further confirming the geographical position of the area corresponding to the rescue place, and according to basic information of places to which each area belongs, which is stored in the emergency command library, screening to obtain basic information of the rescue place, wherein the basic information comprises the number of floors and the positions of dangerous sources, and comprises coverage areas, the number of dangerous sources and the number of indoor fire hydrants corresponding to each floor.
It should be noted that, the basic information of the rescue place includes the dangerous source position, so as to provide data support for the subsequent analysis of the fire spreading influence degree evaluation index of the rescue place, thereby being beneficial to reducing the risk of rescue, increasing the rescue rate of personnel and reducing the injury rate of personnel.
The basic information analysis module of the rescue place is used for analyzing basic information of the rescue place, further preliminarily calculating a fire spreading influence degree evaluation index of the rescue place, processing the evaluation index to obtain the number of expected fire-fighting vehicles and the number of expected fire-fighting personnel of the rescue place, and transmitting the number of expected fire-fighting vehicles and the number of expected fire-fighting personnel to the emergency command feedback module.
Specifically, the basic information of the rescue place is analyzed, and the specific analysis process is as follows: the floor number and the coverage area corresponding to each floor of the rescue place are extracted, and according to the predefined unit floor number and the fire spreading degree influence factor corresponding to the floor unit coverage area, the fire spreading influence degree basic evaluation index of the rescue place is calculated, wherein the specific calculation formula is as follows:wherein alpha is represented as a basic evaluation index of the extent of fire spread influence of rescue sites, M and S i Floor number and coverage area corresponding to the ith floor, delta, respectively expressed as rescue places 1 And delta 2 The fire spreading degree influence factors are respectively expressed as the number of unit floors and the corresponding fire spreading degree influence factor of the unit coverage area of each floor, i is expressed as the number of each floor, i=1, 2.
According to the predefined fire spreading degree assessment factors corresponding to the number intervals of the dangerous sources and the number intervals of the fire hydrants, the fire spreading degree assessment factors corresponding to the number of the dangerous sources and the number of the indoor fire hydrants of each floor of the rescue place are extracted, and further the fire spreading influence degree depth assessment index of the rescue place is calculated, wherein the specific calculation formula is as follows:wherein beta is expressed as a fire spread influence degree depth evaluation index of rescue sites, a i And b i Ith floor respectively denoted as rescue placeA fire spread degree assessment factor corresponding to the number of dangerous sources and the number of indoor fire hydrants.
The basic fire spreading influence degree evaluation index and the depth evaluation index of the fire spreading influence degree are calculated, so that the fire spreading influence degree evaluation index is obtained in a more detailed manner, the information analysis of the rescue place is more detailed, and the basic condition of the rescue place is effectively mastered.
Further, the fire spreading influence degree evaluation index of the rescue place comprises the following specific calculation process: according to the geographical image of the attribution area of the rescue place, positioning the geographical image to the central point of the rescue place as a center point, dividing the geographical image into related influence areas of the rescue place according to a set radius length, and positioning the position points of all outdoor fire hydrants in the related influence areas of the rescue place, counting the distance between all the outdoor fire hydrants in the related influence areas of the rescue place and the central point of the rescue place, thereby calculating a fire spreading influence index corresponding to the outdoor fire hydrants of the rescue place, wherein the specific calculation formula is as follows:wherein epsilon is expressed as fire spread influence index corresponding to outdoor fire hydrants of rescue sites, j is expressed as the number of each outdoor fire hydrant, j=1, 2, …, n, L j The distance between the j-th outdoor fire hydrant and the central point of the rescue place is represented, and χ is represented as a fire spreading influence factor corresponding to a unit distance between the preset outdoor fire hydrant and the central point of the rescue place;
comprehensively calculating a fire spreading influence degree assessment index of the rescue place: γ=α+βε, where γ is expressed as a fire spread impact rating index for rescue sites.
The above-mentioned division of the relevant influence area of the rescue place and statistics of the distances between each outdoor hydrant and the central point of the rescue place in the relevant influence area of the rescue place aim to further increase the judgment rationality of the fire spread influence degree assessment index, thereby effectively distributing the predicted fire truck and the predicted fire fighter.
Specifically, the processing obtains the number of expected fire-fighting vehicles and the number of expected fire-fighting personnel in the rescue place, and the specific analysis process is as follows: and matching the fire spreading influence degree evaluation index of the rescue place with the number of the predicted fire-fighting vehicles and the number of the predicted fire-fighting personnel corresponding to the set fire spreading influence degree evaluation index intervals to obtain the number of the predicted fire-fighting vehicles and the number of the predicted fire-fighting personnel of the rescue place.
In a specific embodiment, the intelligent fire-fighting visual intelligent emergency command system effectively improves the intelligent level of fire-fighting emergency command on a rescue place, and further calculates the fire spreading influence degree assessment index of the rescue place according to the extracted basic information of the rescue place, so that powerful support can be provided for screening the number of expected fire-fighting vehicles and the number of expected fire-fighting personnel in the rescue place, further, the problem that rescue work cannot be effectively carried out due to insufficient numbers of fire-fighting personnel and fire-fighting vehicles is solved, the effective rescue rate of trapped personnel is greatly increased, and the timeliness of the fire-fighting emergency command is improved.
The fire-fighting arrival path planning module is used for acquiring a geographical image of a belonging area of a rescue place and the position of each available fire-fighting vehicle, screening to obtain each appointed fire-fighting vehicle, constructing each travel path of each appointed fire-fighting vehicle to the rescue place, calibrating each rescue arrival path of each appointed fire-fighting vehicle, calculating the recommended coefficient of each appointed fire-fighting vehicle for selecting each rescue arrival path, planning the optimal rescue arrival path of each appointed fire-fighting vehicle, and transmitting the optimal rescue arrival path to the emergency command feedback module.
Specifically, the specific analysis process of the recommendation coefficient of each rescue arrival path selected by each appointed fire truck is as follows: extracting the length of each rescue arrival path of each appointed fire truck, simultaneously counting each municipal road corresponding to each rescue arrival path of each appointed fire truck, and extracting the number of traffic lights, the flow data and the accident data of each municipal road corresponding to each rescue arrival path of each appointed fire truck according to the number of traffic lights, the flow data and the accident data of each municipal road of each area stored in an emergency command library, wherein the flow data comprises average traffic flow and average people flow of each time period, and the accident data is average accident occurrence times of each time period;
the basic recommendation index corresponding to each rescue arrival path of each appointed fire truck is calculated preliminarily, and the calculation formula is as follows:wherein mu dp The basic recommendation index L corresponding to the p-th rescue arrival path of the d-th appointed fire truck dp And SM dp The length and the number of traffic lights corresponding to the p-th rescue arrival path of the d-th appointed fire truck are respectively expressed, d is the number of each appointed fire truck, d=1, 2,..t, p is the number of each rescue arrival path, p=1, 2,..r, r is the number of the rescue arrival paths;
according to the current analysis time point, further matching the current time period, dividing the current time period into estimated arrival time periods according to the set quantity, simultaneously extracting the longest municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle, marking the longest municipal roads as the reference municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle, further counting the average vehicle flow, the average person flow and the average accident occurrence times of the reference municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle in each estimated arrival time period, and further calculating the depth recommendation index corresponding to each rescue arrival path of each specified fire-fighting vehicle, wherein the calculation formula is as follows:wherein sigma dp Depth recommendation index, CL, corresponding to the p-th rescue arrival path of the d-th appointed fire truck dp q 、RL dp q And SL (SL) dp q Average traffic flow and leveling of reference municipal roads corresponding to the p-th rescue arrival path of the d-th specified fire truck in the q-th estimated arrival time periodAverage flow and number of occurrences of accidents, q is denoted as the number of each estimated arrival time period, q=1, 2.
The method aims to more scientifically and reasonably calculate the recommendation coefficient of each specified fire truck for selecting each rescue arrival path, and provides a powerful basis for finally screening the optimal rescue arrival path.
Further, the specific fire-fighting vehicles select the recommended coefficient of each rescue arrival path, and the specific calculation expression is as follows:wherein eta dp Recommended coefficient indicating that the p-th rescue arrival path is selected for the d-th specified fire truck,/->And->And respectively representing the basic recommendation index corresponding to the rescue arrival path and the weight factor corresponding to the depth recommendation index.
Specifically, the optimal rescue arrival path of each appointed fire truck is planned, and the specific analysis process is as follows: and selecting the recommended coefficient of each rescue arrival path according to each appointed fire-fighting vehicle, sequentially arranging the recommended coefficients according to the sequence from big to small, extracting the rescue arrival path with the first recommended coefficient, and taking the rescue arrival path as the optimal rescue arrival path of each appointed fire-fighting vehicle.
In a specific embodiment, the recommendation coefficient of each rescue arrival path is calculated for each appointed fire-fighting vehicle, so that the optimal rescue arrival path of each appointed fire-fighting vehicle is planned, the defect that the basic condition specific analysis of the rescue path is deficient in the prior art is overcome effectively, the targeted analysis level is improved effectively, the considered dimension is rich and various, and the time for each fire-fighting vehicle to arrive at the rescue place is reduced greatly.
The rescue area priority assessment module is used for carrying out area division on the rescue place to obtain and extract basic data of all subareas of the rescue place, so that the rescue priority of all subareas of the rescue place is judged, the number of fire emergency personnel in all subareas of the rescue place is planned, and the number of fire emergency personnel is transmitted to the emergency command feedback module.
Specifically, the rescue priority of each subarea of the rescue place is as follows: according to the positions of dangerous sources in the rescue place, the number of dangerous sources in each subarea of the rescue place is counted, the floor height of each subarea of the rescue place is extracted, and according to the rescue priority rating factors corresponding to the predefined single dangerous source and the rescue priority rating factors of the floor unit height, the rescue priority of each subarea of the rescue place is calculated, and the calculation process is as follows:wherein lambda is g Rescue priority, W, expressed as g-th sub-area of rescue venue g And G g Respectively representing the number of dangerous sources corresponding to the g sub-area of the rescue place and the floor height corresponding to the g sub-area of the rescue place, y 1 And y 2 The rescue priority rating factors are respectively expressed as rescue priority rating factors corresponding to the single dangerous source and the rescue priority rating factors of the floor unit height, and g is expressed as the numbers of all subareas of the rescue place, and g=1, 2.
The method and the device can extract the dangerous source quantity of each subarea of the rescue place and the floor height of each subarea of the rescue place, and can grasp the basic condition of each subarea of the rescue place more accurately, thereby facilitating the subsequent more effective rescue work, reducing the casualty rate of firefighters caused by unfamiliar with the rescue place, and enabling the rescue process to be carried out more smoothly.
Further, the number of fire emergency personnel in each subarea of the rescue place is as follows: and matching the rescue priority of each subarea of the rescue place with the number of the expected fire emergency personnel corresponding to the set rescue priority interval to obtain the number of the fire emergency personnel of each subarea of the rescue place.
In a specific embodiment, the rescue priority of each subarea of the rescue place is obtained through calculation, the number of firefighting emergency personnel in each subarea of the rescue place is obtained through analysis, scientific and reasonable basis is effectively provided for firefighting personnel number scheduling corresponding to each subarea, the phenomenon of uncoordinated firefighting personnel number matched with each subarea and actual demand is avoided, the occurrence rate of the phenomenon of unreasonable firefighting personnel number distribution is reduced, and the development of firefighting rescue work is facilitated.
The emergency command feedback module is used for receiving the number of expected fire-fighting vehicles and the number of expected fire-fighting personnel in the rescue place to conduct emergency command prompts, and receiving the optimal rescue arrival paths of all the specified fire-fighting vehicles and the number of fire-fighting emergency personnel in all the subareas in the rescue place to conduct emergency command prompts.
The emergency command library is used for storing basic information of each place where each area belongs and storing traffic light number, flow data and accident data of each municipal road where each area belongs.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. The utility model provides a visual intelligent emergency command system of fire control which characterized in that includes:
the fire-fighting demand information receiving and processing module is used for receiving fire-fighting demand information transmitted by personnel and further processing the fire-fighting demand information to obtain basic information of rescue places;
the rescue place basic information analysis module is used for analyzing basic information of the rescue place, further preliminarily calculating a fire spreading influence degree evaluation index of the rescue place, processing the evaluation index to obtain the number of predicted fire-fighting vehicles and the number of predicted fire-fighting personnel of the rescue place, and transmitting the number of predicted fire-fighting vehicles and the number of predicted fire-fighting personnel to the emergency command feedback module;
the fire-fighting arrival path planning module is used for acquiring a geographical image of a belonging area of a rescue place and the position of each available fire-fighting vehicle, screening to obtain each appointed fire-fighting vehicle, constructing each travel path of each appointed fire-fighting vehicle to the rescue place, calibrating each rescue arrival path of each appointed fire-fighting vehicle, calculating the recommended coefficient of each appointed fire-fighting vehicle for selecting each rescue arrival path, planning the optimal rescue arrival path of each appointed fire-fighting vehicle, and transmitting the optimal rescue arrival path to the emergency command feedback module;
the rescue area priority assessment module is used for carrying out area division on the rescue place to obtain and extract basic data of all subareas of the rescue place, so that the rescue priority of all subareas of the rescue place is judged, the number of fire emergency personnel of all subareas of the rescue place is planned, and the number of fire emergency personnel is transmitted to the emergency command feedback module;
the emergency command feedback module is used for receiving the number of the expected fire-fighting vehicles and the number of the expected fire-fighting personnel in the rescue place to carry out emergency command prompt, and receiving the optimal rescue arrival path of each specified fire-fighting vehicle and the number of the fire-fighting emergency personnel in each subarea of the rescue place to carry out emergency command prompt;
the emergency command library is used for storing basic information of each place where each area belongs and storing traffic light number, flow data and accident data of each municipal road where each area belongs.
2. The fire fighting visual intelligent emergency command system according to claim 1, wherein: the processing is carried out to obtain basic information of the rescue place, and the specific processing process comprises the following steps:
according to fire-fighting demand information transmitted by personnel, further confirming the geographical position of the area corresponding to the rescue place, and according to basic information of places to which each area belongs, which is stored in the emergency command library, screening to obtain basic information of the rescue place, wherein the basic information comprises the number of floors and the positions of dangerous sources, and comprises coverage areas, the number of dangerous sources and the number of indoor fire hydrants corresponding to each floor.
3. The fire fighting visual intelligent emergency command system according to claim 2, wherein: the basic information of the rescue place is analyzed, and the specific analysis process is as follows:
the floor number and the coverage area corresponding to each floor of the rescue place are extracted, and according to the predefined unit floor number and the fire spreading degree influence factor corresponding to the floor unit coverage area, the fire spreading influence degree basic evaluation index of the rescue place is calculated, wherein the specific calculation formula is as follows:wherein alpha is represented as a basic evaluation index of the extent of fire spread influence of rescue sites, M and S i Floor number and coverage area corresponding to the ith floor, delta, respectively expressed as rescue places 1 And delta 2 The fire spreading degree influence factors are respectively expressed as the number of unit floors and the corresponding fire spreading degree influence factor of the unit coverage area of each floor, i is expressed as the number of each floor, i=1, 2.
According to the predefined fire spreading degree assessment factors corresponding to the number intervals of the dangerous sources and the number intervals of the fire hydrants, the fire spreading degree assessment factors corresponding to the number of the dangerous sources and the number of the indoor fire hydrants of each floor of the rescue place are extracted, and further the fire spreading influence degree depth assessment index of the rescue place is calculated, wherein the specific calculation formula is as follows:wherein beta is expressed as a fire spread influence degree depth evaluation index of rescue sites, a i And b i The fire spreading degree assessment factors are respectively expressed as the number of dangerous sources of the ith floor of the rescue place and the number of indoor fire hydrants.
4. A fire fighting visual intelligent emergency command system according to claim 3, characterized in that: the fire spreading influence degree assessment index of the rescue place comprises the following specific calculation processes:
according to the geographical image of the attribution area of the rescue place, positioning the geographical image to the central point of the rescue place as a center point, dividing the geographical image into related influence areas of the rescue place according to a set radius length, and positioning the position points of all outdoor fire hydrants in the related influence areas of the rescue place, counting the distance between all the outdoor fire hydrants in the related influence areas of the rescue place and the central point of the rescue place, thereby calculating a fire spreading influence index corresponding to the outdoor fire hydrants of the rescue place, wherein the specific calculation formula is as follows:wherein epsilon is expressed as a fire spread influence index corresponding to outdoor hydrants of a rescue site, j is expressed as a number of each outdoor hydrant, j=1, 2, and n, L j The distance between the j-th outdoor fire hydrant and the central point of the rescue place is represented, and χ is represented as a fire spreading influence factor corresponding to a unit distance between the preset outdoor fire hydrant and the central point of the rescue place;
comprehensively calculating a fire spreading influence degree assessment index of the rescue place: γ=α+β+ε, where γ is expressed as a fire spread influence rating index for rescue sites.
5. The fire fighting visual intelligent emergency command system according to claim 1, wherein: the processing obtains the predicted number of fire-fighting vehicles and the predicted number of fire-fighting personnel in the rescue place, and the specific analysis process comprises the following steps:
and matching the fire spreading influence degree evaluation index of the rescue place with the number of the predicted fire-fighting vehicles and the number of the predicted fire-fighting personnel corresponding to the set fire spreading influence degree evaluation index intervals to obtain the number of the predicted fire-fighting vehicles and the number of the predicted fire-fighting personnel of the rescue place.
6. The fire fighting visual intelligent emergency command system according to claim 1, wherein: the specific analysis process of the recommendation coefficient of each rescue arrival path selected by each appointed fire truck comprises the following steps:
extracting the length of each rescue arrival path of each appointed fire truck, simultaneously counting each municipal road corresponding to each rescue arrival path of each appointed fire truck, and extracting the number of traffic lights, the flow data and the accident data of each municipal road corresponding to each rescue arrival path of each appointed fire truck according to the number of traffic lights, the flow data and the accident data of each municipal road of each area stored in an emergency command library, wherein the flow data comprises average traffic flow and average people flow of each time period, and the accident data is average accident occurrence times of each time period;
the basic recommendation index corresponding to each rescue arrival path of each appointed fire truck is calculated preliminarily, and the calculation formula is as follows:wherein mu dp The basic recommendation index L corresponding to the p-th rescue arrival path of the d-th appointed fire truck dp And SM dp The length and the number of traffic lights corresponding to the p-th rescue arrival path of the d-th appointed fire truck are respectively expressed, d is the number of each appointed fire truck, d=1, 2,..t, p is the number of each rescue arrival path, p=1, 2,..r, r is the number of the rescue arrival paths;
according to the current analysis time point, further matching the current time period, dividing the current time period into estimated arrival time periods according to the set quantity, simultaneously extracting the longest municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle, marking the longest municipal roads as the reference municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle, further counting the average vehicle flow, the average person flow and the average accident occurrence times of the reference municipal roads corresponding to each rescue arrival path of each specified fire-fighting vehicle in each estimated arrival time period, and further calculating the depth recommendation index corresponding to each rescue arrival path of each specified fire-fighting vehicle, wherein the calculation formula is as follows:wherein sigma dp Depth recommendation index, CL, corresponding to the p-th rescue arrival path of the d-th appointed fire truck dp q 、RL dp q And SL (SL) dp q The average traffic flow, the average pedestrian flow and the average accident occurrence number of the standard municipal road corresponding to the p-th rescue arrival path of the d-th appointed fire truck in the q-th estimated arrival time period are respectively represented, q is the number of each estimated arrival time period, and q=1, 2.
7. The fire fighting visual intelligent emergency command system according to claim 6, wherein: the specific calculation expression of the recommendation coefficient of each rescue arrival path selected by each appointed fire truck is as follows:
wherein eta dp Recommended coefficient indicating that the p-th rescue arrival path is selected for the d-th specified fire truck,/->And->And respectively representing the basic recommendation index corresponding to the rescue arrival path and the weight factor corresponding to the depth recommendation index.
8. The fire fighting visual intelligent emergency command system according to claim 1, wherein: the optimal rescue arrival path of each appointed fire truck is planned, and the specific analysis process is as follows:
and selecting the recommended coefficient of each rescue arrival path according to each appointed fire-fighting vehicle, sequentially arranging the recommended coefficients according to the sequence from big to small, extracting the rescue arrival path with the first recommended coefficient, and taking the rescue arrival path as the optimal rescue arrival path of each appointed fire-fighting vehicle.
9. The fire fighting visual intelligent emergency command system according to claim 2, wherein: the rescue priority of each subarea of the rescue place comprises the following specific analysis processes:
according to the positions of dangerous sources in the rescue place, the number of dangerous sources in each subarea of the rescue place is counted, the floor height of each subarea of the rescue place is extracted, and according to the rescue priority rating factors corresponding to the predefined single dangerous source and the rescue priority rating factors of the floor unit height, the rescue priority of each subarea of the rescue place is calculated, and the calculation process is as follows:wherein lambda is g Rescue priority, W, expressed as g-th sub-area of rescue venue g And G g Respectively representing the number of dangerous sources corresponding to the g sub-area of the rescue place and the floor height corresponding to the g sub-area of the rescue place, y 1 And y 2 The rescue priority rating factors are respectively expressed as rescue priority rating factors corresponding to the single dangerous source and the rescue priority rating factors of the floor unit height, and g is expressed as the numbers of all subareas of the rescue place, and g=1, 2.
10. The fire fighting visual intelligent emergency command system according to claim 1, wherein: the number of fire emergency personnel in each subarea of the rescue place is as follows:
and matching the rescue priority of each subarea of the rescue place with the number of the expected fire emergency personnel corresponding to the set rescue priority interval to obtain the number of the fire emergency personnel of each subarea of the rescue place.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117371750A (en) * | 2023-11-06 | 2024-01-09 | 南京工程学院 | Multi-target power grid fault emergency rescue method considering man-vehicle feature matching |
| CN118014311A (en) * | 2024-04-08 | 2024-05-10 | 南京久润安全科技有限公司 | Intelligent duty auxiliary management system and method for control room based on data analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117371750A (en) * | 2023-11-06 | 2024-01-09 | 南京工程学院 | Multi-target power grid fault emergency rescue method considering man-vehicle feature matching |
| CN117371750B (en) * | 2023-11-06 | 2024-05-17 | 南京工程学院 | Multi-target power grid fault emergency rescue method considering man-vehicle feature matching |
| CN118014311A (en) * | 2024-04-08 | 2024-05-10 | 南京久润安全科技有限公司 | Intelligent duty auxiliary management system and method for control room based on data analysis |
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