CN116739245A - Intelligent fire-fighting city alarm receiving and scheduling system - Google Patents
Intelligent fire-fighting city alarm receiving and scheduling system Download PDFInfo
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Abstract
The application discloses a smart fire-fighting urban alarm receiving and dispatching system, and relates to the technical field of fire-fighting alarm receiving and dispatching. Dangerous case early warning module: the system is used for collecting dangerous case factors of the urban monitoring area in real time, identifying and predicting dangerous cases of the monitoring area, judging early warning dangerous case information and analyzing the probability of dangerous cases; the alarm receiving center module: the system is used for receiving alarm information and early warning dangerous case information, and further carrying out preliminary classification on the alarm information and judging position information; the fire control dispatch module: the system is used for comparing and matching the alarm information with the dangerous case grade in the database according to the classification of the alarm information, evaluating the priority of the dangerous case, selecting an optimal path according to the position information and the path weight, and further carrying out fire control scheduling by combining the priority and the optimal path; according to the application, reasonable fire control scheduling is performed according to the dangerous case priority and the optimal path and the probability of dangerous case occurrence is analyzed, so that the fire control efficiency is improved, and the life and property safety of urban residents is ensured.
Description
Technical Field
The application relates to the technical field of fire-fighting alarm receiving and dispatching, in particular to a smart fire-fighting urban alarm receiving and dispatching system.
Background
Fire safety in modern cities faces more and more challenges such as problems of complex building structure, difficult parking, traffic jam and the like, which pose great challenges to the speed and efficiency of fire-fighting vehicles reaching dangerous situations. Therefore, the intelligent fire-fighting city alarm receiving and dispatching system is generated. The system organically combines the modules of fire-fighting vehicle dispatching, dangerous case early warning, dangerous case information display and the like by utilizing artificial intelligence, the Internet and communication technology, and improves the speed and efficiency of the fire-fighting vehicle reaching the dangerous case site so as to ensure the life and property safety of urban residents. Meanwhile, the system provides real-time dangerous case information and road condition information for firefighters and command centers, so that the command centers can conduct optimal command and dispatch according to actual conditions of dangerous case sites.
Patent CN115587697a discloses a fire-fighting urban alarm receiving and dispatching system, which relates to the technical field of fire-fighting alarm receiving, in particular to a fire-fighting urban alarm receiving and dispatching system, and is characterized by comprising alarm condition display, data management, communication management, networking convergence, operation monitoring, deduction war evaluation, intelligent learning, data auditing and intelligent dispatching; the alarm condition display comprises alarm condition dynamic state, alarm condition statistics, alarm condition management, system real-time monitoring and data quality monitoring; the police situation display mainly displays various police situations in different time periods, and counts and manages all the police situations in various areas, institutions and time. However, the application does not comprehensively distribute fire control schedule, can not timely find the risk of dangerous situations in cities, and does not analyze the dangerous situations.
However, in the process of implementing the technical scheme of the embodiment of the application, the inventor discovers that the above technology has at least the following technical problems:
in the process of urban treatment, the population is dense, the building is high-rise and complicated, dangerous accidents are frequent, and serious casualties and property loss are caused. The traditional fire safety and emergency management modes cannot meet the increasing demands, the fire schedule is not comprehensively and reasonably distributed, the risk of dangerous situations in cities can not be timely found, and the dangerous situations are not analyzed.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a smart fire urban alarm receiving and dispatching system, which reasonably utilizes path weights to select an optimal path, and carries out priority evaluation on dangerous events and reasonable fire dispatching on the probability of possible occurrence of dangerous situations in cities according to the grades and the dangerous case development trend of the dangerous events so as to ensure the life and property safety of urban residents.
In order to achieve the above purpose, the application is realized by the following technical scheme: a smart fire city alarm receiving and scheduling system comprises a dangerous case early warning module: the method is used for collecting dangerous case factors of the urban monitoring area in real time, further identifying and predicting dangerous cases of the monitoring area, and further judging early warning dangerous case information and analyzing the probability of dangerous cases.
Further, dangerous case factors of the urban monitoring area are collected in real time, dangerous cases of the monitoring area are predicted, probability of dangerous cases is analyzed, and the corresponding steps are as follows: collecting dangerous case factors of dangerous case occurrence in a monitoring area, wherein the dangerous case factors comprise: weather, temperature, humidity, building type; preprocessing the dangerous case factor data, wherein the preprocessing comprises data cleaning, denoising and normalization; the data in the acquisition database including weather, temperature, humidity and building density is denoted by X 1 ,X 2 ,X 3 ,X 4 The data indexes are all in [0,1 ]]And calculating the occurrence probability of dangerous cases and commanding related fire departments to schedule according to the result, wherein the calculation probability of dangerous cases is based on the formula:
wherein P is occurrence probability of dangerous cases, y is a binary output variable, and represents whether dangerous cases occur or not, 1 represents dangerous cases occur, 0 represents non-occurrence, omega i Is with X i The corresponding weight represents the influence of the data index on the occurrence of dangerous situations, judges the occurrence probability of the future dangerous situations according to the result and conducts command and adjustmentDegree.
Further, the alarm receiving center module: the method is used for receiving alarm information and early warning dangerous case information, and further carrying out preliminary classification on the alarm information and judging position information.
Further, the early warning dangerous case information of the warning information and dangerous case early warning module is primarily classified and position information is judged, and the specific process is as follows: receiving alarm information, wherein the alarm information comprises remote voice or video alarm information and on-site alarm information; receiving early warning dangerous case information of a dangerous case early warning module, wherein the early warning dangerous case information comprises: dangerous case video information and suspected dangerous case video information; and carrying out semantic or video data analysis according to the remote voice or video alarm information and the on-site alarm information, and further judging classification and position information.
Further, the fire control dispatch module: and the method is used for comparing and matching the alarm information with the dangerous case grade in the database according to the classification of the alarm information, evaluating the priority of the dangerous case, selecting the optimal path according to the position information and the path weight, and further carrying out fire control scheduling by combining the priority and the optimal path.
Further, the fire control dispatch module includes: a dangerous case event receiving module: the system comprises a system database, a warning center module and a warning center module, wherein the warning center module is used for acquiring warning information of dangerous situations, including dangerous situations and fire situations, and storing the information into the system database; dangerous case event analysis module: the method is used for comparing and matching the classification of the alarm information with the dangerous case matching information in the database, and the classification comprises the following steps: the dangerous situation site and the fire situation are evaluated, the dangerous situation grade and the dangerous situation development trend are further evaluated, priority evaluation is further carried out on the dangerous situations, and an optimal path is selected according to the position information and the path weight; the scheduling command module: the method is used for selecting the optimal path to schedule fire-fighting power and resources according to the priority of the dangerous case event and the path weight.
Further, the specific step of selecting the optimal path according to the position information and the path weight comprises the following steps: scoring different types of roads according to road quality and congestion degree, marking the scored roads as different names by taking the scored scores as one of weight factors, recording the length, the traffic time and the road scoring, and selecting an optimal path by calculating total path weight for fire control dispatching, wherein the formula is as follows:
wherein f represents the total path weight, i represents one of the road segments, n represents the total number of road segments, d i Representing road e i Length t of (2) i Representing road e i Is the transit time of s i Representing road e i Score of c 1 ，c 2 ，c 3 The weight coefficient of each factor is represented, and e is represented as a set correction factor.
Further, the specific step of evaluating the priority of the dangerous case includes:
according to the grade of the dangerous case event and the dangerous case development trend, carrying out priority assessment on the dangerous case event, and obtaining dangerous case matching information in a database, wherein the dangerous case matching information comprises dangerous case scale, dangerous case place and dangerous case risk index, and further carrying out normalization processing to ensure that the value of the dangerous case matching information is [0,1 ]]Setting the allowable maximum value of dangerous case scale as s in the interval max The priority of the dangerous case is calculated and recorded as P, the dangerous case event is classified into different grades according to the value of P, and the calculation formula of the priority of the dangerous case is as follows:
wherein S represents the dangerous situation scale, F represents the dangerous situation place, R represents the dangerous situation risk index, B represents weather, sigma represents other supplementary information, omega 1 ，ω 2 ，ω 3 A weight coefficient representing each factor, respectively, is represented.
Further, the specific steps of the fire control dispatching module comprise: receiving dangerous case information: receiving dangerous case information from the alarm receiving center module; calculating an optimal route: and calculating the optimal path of the fire-fighting vehicle according to the position of the dangerous situation point and road condition factors, and pushing the path information to the fire-fighting vehicle.
Further, acquiring and displaying the dangerous situation site information in real time by adopting a GIS map management technology according to the information of the dangerous situation early warning module and the fire control scheduling module of the alarm receiving center module comprises the following steps: dangerous case occurrence position: real-time image transmission is carried out through a map and a camera to display the position of dangerous situations; type and size of dangerous cases: acquiring information dangerous case related information of the alarm receiving center module dangerous case early warning module and the fire control dispatching module and displaying the information dangerous case related information in a chart form; fire power dispatch: fire, medical, police forces, and firefighter location, quantity, and equipment information that has been dispatched to the site are displayed.
Further, the fire fight module: the system is used for commanding and dispatching fire-fighting configuration according to dangerous case site information, monitoring the fight state of firefighters in real time, judging the dangerous case development trend and changing instructions.
Further, the fire fighting module includes: fire control command system: the system is used for coordinating and commanding firefighters to rescue according to dangerous situation site information, monitoring fire scene, evaluating risk and determining rescue measures; a material management system: the fire control material inventory management system is used for fire control material inventory management, including equipment, fire extinguishing equipment, medicines and water sources; and (3) a comprehensive information platform: information from various resource platforms and social public communication networks is collected and analyzed, including weather forecast and map information.
Further, the analysis reporting module: the method is used for analyzing the condition of urban dangerous accidents and making a fire-fighting plan and a propaganda education plan; providing fire protection early warning and safety prompt through analyzing the historical dangerous accident data; and carrying out risk assessment on the fire department and realizing prediction of dangerous situations.
Further, the analysis reporting module: the system is used for analyzing the condition of urban dangerous case accidents, further making a fire-fighting plan and a propaganda education plan, and providing fire-fighting early warning and safety prompt through analyzing historical dangerous case accident data; and carrying out risk assessment on the fire department and realizing prediction of dangerous situations.
Further, the analysis report module includes: and (3) data collection: fire control data and information in the fire control dispatching module are acquired, and the data information is converted into a standard format and stored in a database; and (3) data processing: further processing fire control data and information in the fire control dispatching module, carrying out data cleaning, integration and association establishment on the original data to form a feature library, and carrying out data mining and statistical analysis; data analysis: analyzing the scheduling information of different levels of history and formulating a self-adaptive intelligent scheme; visual presentation: and visually presenting the analysis result, marking the possible dangerous area on the map, and carrying out early warning prompt.
The application has the following beneficial effects:
(1) The intelligent fire-fighting city alarm receiving and dispatching system is characterized in that the position and state information of a fire-fighting vehicle are determined through a fire-fighting dispatching module, the dangerous situation site position and the dangerous situation grade are obtained, and an optimal path is selected according to path weights to carry out fire-fighting dispatching; the priority evaluation of dangerous events and the scheduling and commanding of the amount of fire, once the danger of dangerous events is determined, the system automatically generates an alarm and sends the alarm to the fire department, public safety department and local government for quick action; at the same time, the system should provide an operable interface to allow the handler to quickly view the fire area, quantity, situation, etc. to help the city quickly respond to the danger and take the necessary precautions. The method is beneficial to guaranteeing the safety and property of citizens and reducing the influence of disaster events on society.
(2) The intelligent fire-fighting city alarm receiving and dispatching system displays the dangerous case information through the dangerous case information display module and helps a commander to effectively conduct fire-fighting dispatching, and continuously collects and updates information such as the position, type, scale, progress, dispatching of fire-fighting power and the like of each dangerous case, and intuitively displays the information in the form of charts, maps and other forms. Therefore, the commander can know the dangerous situation and the related information thereof in real time and can quickly communicate and guide with the on-site commander, so that countermeasures can be taken in time, and personnel and property losses are reduced.
Of course, it is not necessary for any one product to practice the application to achieve all of the advantages set forth above at the same time.
Drawings
FIG. 1 is a schematic diagram of the connection of subsystems of the system of the present application;
fig. 2 is a flow chart of the dangerous situation early warning module in the system of the application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the description of the present application, it should be understood that the terms "open," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like indicate orientation or positional relationships, merely for convenience in describing the present application and to simplify the description, and do not indicate or imply that the components or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application.
Referring to fig. 1, the embodiment of the application provides a technical scheme: a smart fire-fighting city alarm receiving and dispatching system comprises an alarm early warning module, an alarm receiving center module, a fire-fighting dispatching module, an alarm information display module, a fire-fighting module and an analysis reporting module.
In this embodiment, the dangerous case early warning module: the fire control system is used for analyzing and predicting the probability of dangerous situations, monitoring the dangerous situation precaution conditions in cities, carrying out fire control scheduling in cooperation with the fire control scheduling module, and carrying out early warning on the dangerous situations through the fire alarm system; collecting history records, weather, temperature, humidity, building types and combustion substances of dangerous situations; preprocessing data, including data cleaning, denoising and normalization; and carrying out feature engineering on the preprocessed data, wherein the feature engineering comprises feature selection, feature extraction and feature conversion steps, extracting features with prediction capability on dangerous situations, calculating the processed data to obtain probability values of future dangerous situations, and further carrying out fire control scheduling according to the probability values.
Specifically, the specific steps of predicting the occurrence probability of dangerous situations include: a1, collecting history records, weather, temperature, humidity, building types and combustion substances of dangerous situations; a2, preprocessing the data, including data cleaning, denoising and normalization; a3, marking the processed data including weather, temperature, humidity and building density as X 1 ,X 2 ,X 3 ,X 4 The data index is [0,1 ]]A4, calculating the probability of dangerous situations, commanding related fire departments to schedule according to the result, and according to the formula:
wherein P is the occurrence probability, y is a binary output variable, and represents whether the occurrence of dangerous case occurs, 1 represents the occurrence of dangerous case, 0 represents the non-occurrence, omega i Is with X i And the corresponding weight represents the influence of the data index on the occurrence of dangerous situations, and A5 judges the probability of the occurrence of dangerous situations in the future according to the result and conducts command and dispatch.
Specifically, the alarm receiving center module includes: alarm information and distress call from fire-fighting equipment, distress call and other channels are received, and real-time processing analysis and accurate classification, positioning and evaluation are carried out on the information; the course of the process is recorded for use in later analysis and reporting. The method comprises the following specific steps: receiving alarm information: and receiving alarm information from various sources of telephones, short messages and APP in various places of the city, and classifying and prioritizing. Confirming the position and the scale of the dangerous case point: and acquiring the coordinates of the dangerous point position and the size information of the scale through a monitoring system, a GPS and other equipment. Pushing information to a fire truck dispatching module: pushing the confirmed dangerous case information to a fire control dispatching module so that the module can realize optimal path planning of the fire control vehicle reaching the dangerous case point.
In this embodiment, the fire dispatch module: and acquiring alarm information of an alarm receiving center module dangerous case early warning module, carrying out priority evaluation on dangerous case events according to the alarm information, and selecting an optimal path by path weights to carry out fire control scheduling and command.
The method comprises the following specific steps: acquiring information of an alarm receiving center module, determining the position and the property of a dangerous situation site in real time, and selecting an optimal fire-fighting vehicle for dispatching; establishing a vehicle movement plan and a path plan, and ensuring that the vehicle can arrive at a dangerous situation site as soon as possible; the scheduling information is sent to the vehicle, wherein the scheduling information comprises dangerous case site conditions, departure time and arrival time; after the vehicle arrives at the dangerous situation site, the position, the state and the task execution condition of the vehicle are tracked, and the vehicle is monitored and commanded. The method comprises the following specific steps: receiving dangerous case information: and receiving the dangerous case information from the alarm receiving center module. Calculating an optimal route: according to the dangerous situation point position, the road condition and the dynamic scheduling condition of the fire-fighting vehicle, calculating the optimal path of the fire-fighting vehicle, and pushing the path information to the fire-fighting vehicle. The specific steps of selecting the optimal path according to the position information and the path weight comprise: scoring different types of roads according to road quality and congestion degree, marking the scored roads as different names by taking the scored scores as one of weight factors, recording the length, the traffic time and the road scoring, and selecting an optimal path by calculating total path weight for fire control dispatching, wherein the formula is as follows:
wherein f represents the total path weight, i represents one of the road segments, n represents the total number of road segments, d i Representing road e i Length t of (2) i Representing road e i Is the transit time of s i Representing road e i Score of c 1 ，c 2 ，c 3 The E represents the set correction factor; priority evaluation is carried out on the dangerous case events according to the grade of the dangerous case events and the dangerous case development trend, and the obtained dangerous case matching information in the database comprises dangerous case scale, dangerous case location and dangerous case risk index, and the value of the dangerous case matching information is in [0,1 ] through normalization processing]Setting dangerous case scale in intervalMaximum allowable value S max The priority of the dangerous case is calculated and recorded as W, the dangerous case event is classified into different grades according to the value of W, and the calculation formula of the priority of the dangerous case is as follows:
wherein S represents the dangerous situation scale, F represents the dangerous situation place, R represents the dangerous situation risk index, B represents weather, sigma represents other supplementary information, omega 1 ，ω 2 ，ω 3 A weight coefficient representing each factor, respectively, is represented. According to the method, the optimal route for reaching the dangerous situation point position is achieved by guiding the fire-fighting vehicle, and then fire-fighting scheduling is conducted by combining the priority and the optimal route, so that the high efficiency and convenience of dangerous situation rescue are guaranteed.
Specifically, the specific steps of the vehicle dispatching module include: receiving dangerous case information: receiving dangerous case information from the alarm receiving center module; calculating an optimal route: according to the dangerous situation point position, road conditions and dynamic scheduling situation factors of the fire-fighting vehicle, calculating an optimal path of the fire-fighting vehicle, and pushing path information to the fire-fighting vehicle; guiding the fire-fighting vehicle to realize an optimized route to the dangerous point position: and guiding the fire-fighting vehicle to dynamically run according to the calculated optimal path plan.
In this embodiment, the dangerous case information display module: acquiring information of each fire station, fire equipment, fire vehicles and dangerous accident sites in real time by adopting a GIS map management technology; and displaying the positions of the firefighters and the dangerous accident sites on the map, and guiding the firefighters to go to the dangerous accident sites.
Specifically, the information display: when the dangerous case happens, the module can display the position and the condition of the dangerous case point to related personnel in real time; updating information: the module can update the dangerous case information in time so that related personnel can know the dangerous case processing progress problem; and (3) information management: the module can manage and store the fire fighting information by establishing a related information management system so as to facilitate the tracing and data inquiry of the subsequent fire fighting work; dangerous case occurrence position: real-time image transmission is carried out through a map and a camera to display the position of dangerous situations; type and size of dangerous cases: acquiring related information of dangerous cases, automatically identifying the type and the scale of the dangerous cases, displaying the related information in a chart form, and assisting a commander in judging and deciding; fire power dispatch: displaying fire, medical, police forces that have been dispatched to the scene, and firefighter location, quantity, and equipment information; and (3) visualizing a fire source: on the map-related interface, a multi-view presents a fire source visualization.
In this embodiment, the fire fight module: the system is used for commanding and dispatching firefighters to participate in firefighting rescue work, and comprises the steps of arranging rescue vehicles, firefighters and equipment, and monitoring the fight state of the firefighters, the development condition of dangerous accidents and changing instructions in real time.
Specifically, the fire command system: the system is used for coordinating and commanding firefighters to rescue, monitoring fire scene, evaluating risk and determining rescue measures; fire control site command control system: the method is characterized by supporting firefighters to realize on-site investigation and preliminary treatment, and communicating with command centers and medical institutions, and optimizing coping strategies and flows by utilizing intelligent technologies; a material management system: the fire-fighting material inventory management is supported, including equipment, fire-fighting equipment, medicines and water sources, and the response speed and efficiency during rescue are improved through fine management; and (3) a comprehensive information platform: information from various resource platforms and social public communication networks is collected and analyzed, including weather forecast, map information and public safety tasks.
Specifically, data is transmitted: the module is responsible for remotely transmitting dangerous scene images and video stream information, so that a commander can conveniently monitor firefighter dynamics. Organizing rescue supplies: the module can organize rescue materials and realize rescue plans according to the real-time needs of fire conditions. Command management: the module can update dangerous case information in real time, adjust rescue plans and command firefighters, and improve the professionality and instantaneity of firefighting command.
In this embodiment, the analysis reporting module: the method is used for analyzing the condition of urban dangerous accidents and making a fire-fighting plan and a propaganda education plan; providing fire protection early warning and safety prompt through analyzing the historical dangerous accident data; and carrying out risk assessment on the fire department and realizing prediction of dangerous situations.
Specifically, data collection: the fire control data and the fire control information are acquired through integration with each module in the intelligent fire control city alarm receiving and dispatching system, and the data information is converted into a standard format and stored in a database; and (3) data processing: further processing the original data, and performing data cleaning, integration and association establishment on the original data to form a feature library; data mining and statistical analysis are carried out; analysis and prediction: aiming at the prediction of emergency events of different levels, various data including risk occurrence risk, calculation of number of fire scene persons, analysis of rescue routes, prediction of emergency material demands are analyzed, and a self-adaptive intelligent scheme is formulated; visual presentation: and visually presenting the analysis result, marking the possible dangerous area on the map, and carrying out early warning prompt.
Fig. 2 is a flowchart of a dangerous situation early warning module according to an embodiment of the present application. The second step includes the data acquisition and processing in step S110: the dangerous situation early warning module continuously collects data related to dangerous situations, such as temperature, smoke and pressure, through data acquisition equipment, such as monitoring equipment, sensors and the like, and processes and analyzes the data to identify signs related to the dangerous situations. S120, feature extraction and early warning: the module extracts features closely related to dangerous situations, such as temperature change amplitude, smoke density and smell, according to the experience data of the historical dangerous situations, analyzes and predicts the features to identify potential dangerous situations, and sends out corresponding early warning signals. S130, early warning information pushing: if the dangerous situation early warning module recognizes the potential dangerous situation risk, early warning information is immediately sent to the fire control center, and firefighters are informed of dealing with the dangerous situation at the first time. S140, real-time monitoring and recording: the dangerous situation early warning module can also monitor the development condition of the dangerous situations in real time, record related data such as the fire intensity and the spreading speed, and sort and analyze the data so as to provide detailed information and analysis report about the dangerous situations.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. An intelligent fire city alarm receiving and scheduling system, comprising:
dangerous case early warning module: the system is used for collecting dangerous case factors of the urban monitoring area in real time, identifying and predicting dangerous cases of the monitoring area, judging early warning dangerous case information and analyzing the probability of dangerous cases;
the alarm receiving center module: the system is used for receiving alarm information and early warning dangerous case information, and further carrying out preliminary classification on the alarm information and judging position information;
the fire control dispatch module: the system is used for comparing and matching the alarm information with the dangerous case grade in the database according to the classification of the alarm information, evaluating the priority of the dangerous case, selecting an optimal path according to the position information and the path weight, and further carrying out fire control scheduling by combining the priority and the optimal path;
dangerous case information display module: the system comprises a fire control dispatching module, a warning center module, a fire control dispatching module, a GIS map management technology and a monitoring center module, wherein the fire control dispatching module is used for receiving information of a fire control dispatching module;
fire fighting module: the system is used for commanding, dispatching and fire-fighting configuration according to dangerous case site information, monitoring the fight state of firefighters in real time, judging the dangerous case development trend and changing instructions;
an analysis report module: the system is used for analyzing the condition of urban dangerous case accidents, further making a fire-fighting plan and a propaganda education plan, and providing fire-fighting early warning and safety prompt through analyzing historical dangerous case accident data; and carrying out risk assessment on the fire department and realizing prediction of dangerous situations.
2. The intelligent fire city alarm dispatch system of claim 1, wherein: the dangerous case factors of the urban monitoring area are collected in real time, the dangerous case of the monitoring area is predicted, the probability of dangerous case occurrence is analyzed, and the corresponding steps are as follows:
collecting dangerous case factors of dangerous case occurrence in a monitoring area, wherein the dangerous case factors comprise: weather, temperature, humidity, building type;
preprocessing the dangerous case factor data, wherein the preprocessing comprises data cleaning, denoising and normalization;
the data in the acquisition database including weather, temperature, humidity and building density is denoted by X 1 ,X 2 ,X 3 ,X 4 The data indexes are all in [0,1 ]]And calculating the occurrence probability of dangerous cases and commanding related fire departments to schedule according to the result, wherein the calculation probability of dangerous cases is based on the formula:
wherein P is occurrence probability of dangerous cases, y is a binary output variable, and represents whether dangerous cases occur or not, 1 represents dangerous cases occur, 0 represents non-occurrence, omega i Is with X i And the corresponding weight represents the influence of the data index on the occurrence of dangerous situations, judges the occurrence probability of the dangerous situations in the future according to the result and conducts command and dispatch.
3. The intelligent fire city alarm dispatch system of claim 2, wherein: the early warning dangerous case information of the warning information and dangerous case early warning module is primarily classified and position information is judged, and the specific process is as follows:
receiving alarm information, wherein the alarm information comprises remote voice or video alarm information and on-site alarm information;
receiving early warning dangerous case information of a dangerous case early warning module, wherein the early warning dangerous case information comprises: dangerous case video information and suspected dangerous case video information;
and carrying out semantic or video data analysis according to the remote voice or video alarm information and the on-site alarm information, and further judging classification and position information.
4. The intelligent fire city vehicle alert dispatch system of claim 1, wherein: the fire control dispatch module includes:
a dangerous case event receiving module: the system comprises a system database, a warning center module and a warning center module, wherein the warning center module is used for acquiring warning information of dangerous situations, including dangerous situations and fire situations, and storing the information into the system database;
dangerous case event analysis module: the method is used for comparing and matching the classification of the alarm information with the dangerous case matching information in the database, and the classification comprises the following steps: the dangerous situation site and the fire situation are evaluated, the dangerous situation grade and the dangerous situation development trend are further evaluated, priority evaluation is further carried out on the dangerous situations, and an optimal path is selected according to the position information and the path weight;
the scheduling command module: the method is used for selecting the optimal path to schedule fire-fighting power and resources according to the priority of the dangerous case event and the path weight.
5. The intelligent fire city vehicle alert dispatch system of claim 1, wherein: the specific step of selecting the optimal path according to the position information and the path weight comprises the following steps: scoring different types of roads according to road quality and congestion degree, marking the scored roads as different names by taking the scored scores as one of weight factors, recording the length, the traffic time and the road scoring, and selecting an optimal path by calculating total path weight for fire control dispatching, wherein the formula is as follows:
wherein f represents the total path weight, i represents one of the road segments, n represents the total number of road segments, d i Representing road e i Length t of (2) i Representing road e i Is the transit time of s i Representing road e i Score of c 1 ，c 2 ，c 3 The weight coefficient of each factor is represented, and e is represented as a set correction factor.
6. The intelligent fire city vehicle alert dispatch system of claim 4, wherein: the specific step of evaluating the priority of the dangerous case comprises the following steps:
according to the grade of the dangerous case event and the dangerous case development trend, carrying out priority assessment on the dangerous case event, and obtaining dangerous case matching information in a database, wherein the dangerous case matching information comprises dangerous case scale, dangerous case place and dangerous case risk index, and further carrying out normalization processing to ensure that the value of the dangerous case matching information is [0,1 ]]Setting the allowable maximum value of dangerous case scale as s in the interval max The priority of the dangerous case is calculated and recorded as W, the dangerous case event is classified into different grades according to the value of W, and the calculation formula of the priority of the dangerous case is as follows:
wherein S represents the dangerous situation scale, F represents the dangerous situation place, R represents the dangerous situation risk index, B represents weather, sigma represents other supplementary information, omega 1 ，ω 2 ，ω 3 A weight coefficient representing each factor, respectively, is represented.
7. The intelligent fire city alarm dispatch system of claim 1, wherein: the method for acquiring and displaying the dangerous case site information in real time by adopting the GIS map management technology according to the information of the dangerous case early warning module and the fire control scheduling module of the alarm receiving center module comprises the following steps:
dangerous case occurrence position: real-time image transmission is carried out through a map and a camera to display the position of dangerous situations;
type and size of dangerous cases: acquiring information dangerous case related information of the alarm receiving center module dangerous case early warning module and the fire control dispatching module and displaying the information dangerous case related information in a chart form;
fire power dispatch: fire, medical, police forces, and firefighter location, quantity, and equipment information that has been dispatched to the site are displayed.
8. The intelligent fire city alarm dispatch system of claim 1, wherein: the fire fighting module includes:
fire control command system: the system is used for coordinating and commanding firefighters to rescue according to dangerous situation site information, monitoring fire scene, evaluating risk and determining rescue measures;
a material management system: the fire control material inventory management system is used for fire control material inventory management, including equipment, fire extinguishing equipment, medicines and water sources;
and (3) a comprehensive information platform: information from various resource platforms and social public communication networks is collected and analyzed, including weather forecast and map information.
9. The intelligent fire city alarm dispatch system of claim 1, wherein: the analysis report module includes:
and (3) data collection: fire control data and information in the fire control dispatching module are acquired, and the data information is converted into a standard format and stored in a database;
and (3) data processing: further processing fire control data and information in the fire control dispatching module, carrying out data cleaning, integration and association establishment on the original data to form a feature library, and carrying out data mining and statistical analysis;
data analysis: analyzing the scheduling information of different levels of history and formulating a self-adaptive intelligent scheme;
visual presentation: and visually presenting the analysis result, marking the possible dangerous area on the map, and carrying out early warning prompt.
10. The intelligent fire city alarm dispatch system of claim 4, wherein: the specific steps of the fire control scheduling module comprise: receiving dangerous case information: receiving dangerous case information from the alarm receiving center module; calculating an optimal route: and calculating the optimal path of the fire-fighting vehicle according to the position of the dangerous situation point and road condition factors, and pushing the path information to the fire-fighting vehicle.
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