Full-state monitoring and emergency dispatching system of intelligent fire hydrant
By using intelligent fire hydrant terminals for real-time monitoring and data upload via low-power wide area networks, combined with signal contribution weighting formulas and dual-dimensional sorting, the problems of incomplete fire hydrant monitoring and inaccurate dispatching in fire protection systems have been solved, enabling real-time monitoring and precise dispatching of fire hydrant status.
Patent Information
- Application Number
- CN202610047731.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-14
- Publication Date
- 2026-02-10
AI Technical Summary
The existing fire protection system lacks integrated intelligent monitoring methods, relies on manual inspections which are inefficient, has not established a scientific fire hydrant priority ranking mechanism, has incomplete or redundant fire monitoring area coverage, and does not consider time synchronization and intensity weight differences in signal screening, resulting in inaccurate dispatching.
The system employs intelligent fire hydrant terminals to monitor multi-dimensional status data in real time. Data is uploaded via a low-power wide area network, a signal contribution weight formula is constructed, and the fire monitoring area is dynamically adjusted by combining urban administrative divisions and the coverage of the sensing subnet. A scheduling pool is formed by two-dimensional sorting, and a precise scheduling plan is generated and simultaneously distributed to multiple terminals.
It enables real-time monitoring and precise scheduling of fire hydrant status, avoids rescue delays caused by equipment malfunctions, accurately locates areas of concentrated fire, ensures priority water supply, and solves the problems of traditional positioning deviation and inaccurate scheduling.
Smart Images
Figure CN121490327A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the technical field of smart city fire fighting, and particularly relates to a full-state monitoring and emergency dispatching system for intelligent fire hydrants. BACKGROUND
[0002] With the acceleration of urbanization, the building density and population concentration in cities continue to increase, and the prevention and control pressure of sudden emergency events such as fire is increasing. As the core infrastructure of the urban fire fighting system, the availability and emergency dispatching efficiency of the fire hydrant are directly related to the success rate of fire fighting. However, the existing fire fighting system still has many technical problems in the management of fire hydrants, fire monitoring and emergency dispatching, and it is difficult to meet the intelligent and efficient needs of smart city fire fighting.
[0003] Traditional fire hydrants lack integrated intelligent monitoring means and mainly rely on manual regular inspection, which is low in efficiency and high in cost. Traditional fire fighting dispatching mainly relies on manual experience and does not establish a scientific fire hydrant priority sorting mechanism. Only the distance factor is considered, and the core indicators of fire fighting efficiency such as water pressure are ignored, resulting in that the dispatched fire hydrant has insufficient water supply capacity although it is close.
[0004] Although the existing urban Internet of Things sensing network can collect smoke, infrared and other fire signals, the signal screening only relies on single threshold judgment and does not consider the time synchronization (discrete signal interference of different fire events) and intensity weight difference of the signal. Weak signals are easy to cause fire in the concentrated area positioning result. In addition, the fire monitoring area is simply combined with the administrative division or the sensing sub-network coverage range, and the fire diffusion trend is not dynamically fused, resulting in incomplete or excessive redundant coverage of the target area, which affects the pertinence of subsequent dispatching.
[0005] Therefore, an intelligent fire hydrant full-state monitoring and emergency dispatching system is urgently needed to solve the above problems. SUMMARY
[0006] The purpose of the present application is to provide an intelligent fire hydrant full-state monitoring and emergency dispatching system to solve the technical problems in the prior art.
[0007] In order to achieve the above purpose, the present application adopts the following technical scheme:
[0008] The intelligent fire hydrant full-state monitoring and emergency dispatching system comprises:
[0009] The intelligent fire hydrant state monitoring module is used to deploy intelligent terminals capable of monitoring multi-dimensional state data of fire hydrants in real time. The collected data is uploaded by low-power wide-area network technology triggered by time / event, and the qualified fire hydrants are included in the qualified database updated in real time after pre-processing and judging according to the preset standard. The abnormal ones are marked and removed.
[0010] The fire monitoring target area determination module constructs a signal contribution weight formula, integrates signal strength and the degree of deviation from the benchmark threshold, and uses the effective signal latitude and longitude and weight as a basis to locate the core coordinates of the concentrated fire area, ensuring that the core shifts towards the strong signal area. It sets a dynamic boundary radius formula, taking into account the signal strength weighted average distance and spatial dispersion, adapting to different signal distribution scenarios, and finally accurately determining the core and boundary of the concentrated area of abnormal fire signals.
[0011] First, it connects to the city's IoT sensing network, using the intersection of the city's administrative divisions and the coverage area of the sensing subnet as the initial target area. After detecting a fire alarm signal, it expands to form a temporary area centered on the first abnormal sensing device. The two are then merged into the final fire monitoring target area. Subsequently, it receives two core data types within this area: smoke and infrared thermal imaging. It sets a time threshold T, an abnormal signal time difference, and a core data threshold. A comprehensive screening process was conducted to form a subset of effective smoke and infrared signals containing corresponding key data, T and The settings are based on historical data statistics combined with actual conditions;
[0012] The intelligent fire hydrant scheduling module filters qualified fire hydrants within the target area, sorts them by distance and water pressure efficiency to form a scheduling pool, generates a scheduling plan and distributes it synchronously to multiple terminals. If a priority fire hydrant experiences a sudden malfunction, it automatically fills the gap from the secondary queue.
[0013] Furthermore, deploy smart terminals capable of real-time monitoring of multi-dimensional status data of fire hydrants. The specific method is as follows:
[0014] The monitoring unit deployed on the physical fire hydrant is referred to as the intelligent fire hydrant terminal. Its core components include a water pressure sensor, which is used to monitor the water pressure inside the fire hydrant in real time. The water pressure state threshold range [F1, F2] is preset based on historical data and actual needs. When the monitoring data is within this range, the water pressure state is judged to be normal; otherwise, it is judged to be abnormal.
[0015] The tilt sensor, which uses a triaxial accelerometer, monitors whether the fire hydrant has been knocked down by a vehicle or has tilted abnormally. Based on historical data and actual needs, a tilt threshold 'a' is preset. If the tilt sensor's monitored data exceeds the threshold, it is determined that the hydrant has been knocked down or tilted.
[0016] Electromagnetic / mechanical status sensors monitor whether the fire hydrant cover is opened without authorization. If the cover is open and the water pressure sensor detects continuous water flow, but no valid water usage order (such as a fire dispatch order or a municipal greening water usage order) is received, the status is determined to be abnormal.
[0017] And a positioning sensor used to provide accurate geographical location information of fire hydrants, a microprocessor responsible for collecting and preprocessing data from each sensor, and controlling communication.
[0018] Furthermore, a signal contribution weighting formula is constructed to integrate signal strength with the degree of deviation from the benchmark threshold. The specific method is as follows:
[0019] Using formula The signal contribution weights are represented by the weights, where This represents the core indicator of the k-th signal. The smoke signal uses real-time smoke concentration data, and the infrared signal uses real-time temperature data. Indicates the core data threshold. The linear weighting coefficients are dynamically set based on the city's building density. The nonlinear adjustment coefficient is preset by the system after calibration based on historical fire signal data.
[0020] Furthermore, based on the effective signal latitude and longitude and weights, the core coordinates of the concentrated fire area are located. The specific method is as follows:
[0021] Using formula This indicates the coordinates of the core point in the area where abnormal fire signals are concentrated. Represents the latitude and longitude coordinates of a single valid signal. This represents the minimum constant.
[0022] Furthermore, the dynamic boundary radius formula is set, specifically as follows:
[0023] Using formula Determine the boundary radius, where This represents the baseline radius coefficient, which is set based on the city's road network density and actual needs. The latitude and longitude coordinates of a single valid signal represent the straight-line distance to the weighting center, and d represents the average straight-line distance from the latitude and longitude coordinates of all valid signals to the weighting center. The balance coefficient represents the numerical value of the signal distribution characteristics of the suitable area, which is finally determined by statistical fitting or machine learning model calibration based on urban road network density, building density, and historical fire signal distribution data.
[0024] Furthermore, qualified fire hydrants within the target area are screened and sorted into a dispatch pool based on a two-dimensional ranking of distance and water pressure efficiency. A dispatch plan is then generated and simultaneously distributed to multiple terminals. The specific method is as follows:
[0025] The qualified fire hydrant database is accessed to screen all qualified fire hydrants within the target area of the fire monitoring, and the real-time water pressure value, accurate latitude and longitude, equipment number and the most recent data update timestamp are extracted as core information.
[0026] Establish a two-dimensional priority ranking model:
[0027] The first dimension is distance priority: taking the geometric center of the area where the fire anomaly signal is concentrated as the origin, calculate the straight-line distance of each qualified fire hydrant and sort them from near to far. Set a distance threshold D and include fire hydrants with a distance ≤ D in the priority dispatch pool.
[0028] The second dimension is the efficiency priority: fire hydrants in the priority dispatch pool are sorted in the order of water pressure ≥ F1.5 → water pressure in [F1, F1.5) or (F1.5, F2], where F1.5 is the optimal fire extinguishing water pressure threshold, which is the intermediate value of [F1, F2] determined by back-deduction based on the optimal water output efficiency in conventional fire extinguishing scenarios.
[0029] Mark the fire center and the location of each qualified fire hydrant on the electronic map, distinguish the priority with different colors, automatically calculate the optimal driving route for fire trucks from the nearest fire station to the first priority fire hydrant, and simultaneously mark the opening method and interface specifications of the fire hydrant.
[0030] The system pushes dispatch plans, fire data of target areas, and details of fire hydrants to the fire dispatch center system via the cloud platform interface.
[0031] If a fire hydrant in the priority dispatch pool experiences a sudden malfunction, the system immediately selects a replacement hydrant from the secondary priority queue, recalculates the route, and synchronizes it to the relevant terminals.
[0032] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:
[0033] 1. This invention constructs a real-time updated qualified fire hydrant database to accurately screen available equipment, avoiding rescue delays caused by equipment malfunctions during fires and significantly improving fire hydrant reliability. Through time-synchronous screening and weighted algorithms, it effectively eliminates discrete signal interference and accurately locates the core and dynamic boundaries of concentrated fire areas. Combining administrative divisions and fire spread trends, it dynamically adjusts the monitoring range, ensuring comprehensive coverage while avoiding redundancy, providing accurate spatial basis for subsequent dispatch and solving the problem of traditional positioning deviation. Through a two-dimensional priority ranking model that takes into account both distance and water pressure efficiency, it ensures priority dispatch of nearby and better fire hydrants, avoiding insufficient water supply capacity caused by single distance ranking. Attached Figure Description
[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0035] Figure 1 The diagram shows the module diagram of the intelligent fire hydrant full-state monitoring and emergency dispatch system of the present invention. Detailed Implementation
[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0037] like Figure 1 The intelligent fire hydrant full-state monitoring and emergency dispatch system shown includes the following steps:
[0038] The intelligent fire hydrant status monitoring module is used to deploy intelligent terminals that can monitor multi-dimensional status data of fire hydrants in real time. It uploads and collects data through timed / event-triggered low-power wide area network technology. After preprocessing, the data is judged to be qualified according to preset standards. Qualified fire hydrants are included in the real-time updated qualified database, while abnormal ones are marked and removed.
[0039] The monitoring unit installed on the physical fire hydrant, referred to as the intelligent fire hydrant terminal, has the following core components:
[0040] The water pressure sensor is used to monitor the water pressure inside the fire hydrant in real time. It presets a water pressure state threshold range [F1, F2] based on historical data and actual needs. When the monitored data is within this range, the water pressure state is determined to be normal; otherwise, it is determined to be abnormal.
[0041] The tilt sensor, which uses a triaxial accelerometer, monitors whether the fire hydrant has been knocked down by a vehicle or has tilted abnormally. Based on historical data and actual needs, a tilt threshold 'a' is preset. If the tilt sensor's monitored data exceeds the threshold, it is determined that the hydrant has been knocked down or tilted.
[0042] Electromagnetic / mechanical status sensors monitor whether the fire hydrant cover is opened without authorization. If the cover is open and the water pressure sensor detects continuous water flow, but no valid water usage order (such as a fire dispatch order or a municipal greening water usage order) is received, the status is determined to be abnormal.
[0043] It also includes positioning sensors for providing precise geographical location information of fire hydrants, a microprocessor responsible for collecting and preprocessing data from various sensors, and controlling communication. Employing NB-IoT, 4G / 5G, or LoRa low-power wide-area network technologies, it uploads the data collected by the smart fire hydrant terminal to the cloud platform.
[0044] The intelligent fire hydrant terminal collects raw data such as water pressure, tilt angle, cover status, and ambient temperature through various sensors according to a preset time period (e.g., every 5 minutes) or event trigger mode (e.g.). It uses NB-IoT, 4G / 5G or LoRa low power wide area network technology to upload the data collected by the intelligent fire hydrant terminal to the cloud platform, and performs preliminary filtering and formatting processing on the data through a microprocessor.
[0045] The processed data is judged for compliance based on preset standards, as shown in Table 1:
[0046] Table 1
[0047]
[0048] If a fire hydrant meets all the above qualification standards, it will be included in the qualified fire hydrant database and marked as qualified in real time. If any indicator is not met, it will be automatically removed from the qualified database and marked as abnormal. The qualified database will be updated every t1 seconds (t1 is set based on actual needs) to synchronize the latest monitoring data from the terminal and ensure that the status of fire hydrants in the database is valid in real time.
[0049] The fire monitoring target area determination module constructs a signal contribution weight formula, integrates signal strength and the degree of deviation from the benchmark threshold, and uses the effective signal latitude and longitude and weight as a basis to locate the core coordinates of the concentrated fire area, ensuring that the core shifts towards the strong signal area. It sets a dynamic boundary radius formula, taking into account the signal strength weighted average distance and spatial dispersion, adapting to different signal distribution scenarios, and finally accurately determining the core and boundary of the concentrated area of abnormal fire signals.
[0050] By connecting to the city's IoT sensing network, based on the city's administrative divisions (such as street and community boundaries, linked to electronic maps through administrative division codes), and combined with the preset coverage range of the city's IoT sensing network (each sensing subnet has a coverage radius of 1-3 kilometers), the intersection of the administrative division unit and the coverage range of the sensing subnet is defined as the initial target area. When the city's IoT sensing network detects a fire alarm signal, a temporary monitoring area is formed by expanding H meters from the first sensing device that triggered the anomaly (H is set according to actual needs), which is then merged with the initial target area to finally determine the fire monitoring target area, ensuring coverage of all sources of abnormal signals and potential spread ranges.
[0051] By connecting to the city's IoT sensing network via an interface, two types of core data can be received in real time within the target area for fire monitoring:
[0052] Smoke data: real-time smoke concentration from the smoke sensor, data acquisition timestamp, and corresponding latitude and longitude coordinates;
[0053] Infrared thermal imaging data: hotspot temperature of the infrared sensor, data acquisition timestamp, and corresponding latitude and longitude coordinates.
[0054] First, exclude discrete signals that are not from the same fire event. Set a time threshold T (e.g., 60 seconds, which can be dynamically adjusted according to the city's building density) and retain only signals that meet the following conditions:
[0055] Smoke signal: The difference in timestamps between the smoke signal and the first abnormal smoke signal. Furthermore, the real-time monitored smoke concentration Ci > C0 (C0 is the threshold for daily background smoke concentration in the city, which is derived from historical data statistics).
[0056] Infrared signal: the difference in timestamps between the first abnormal infrared signal and the original signal. Furthermore, the temperature of the abnormal hotspot Tj > Tmax + T0 (Tmax is the highest temperature forecast for the day, and T0 is the infrared anomaly baseline threshold, such as 5℃, which is obtained from historical data statistics).
[0057] After filtering, a set of valid signals is obtained. ,in This represents a subset of valid smoke signals, where m indicates that there are a total of m valid smoke signals. Each valid smoke signal contains its corresponding latitude and longitude coordinates (for precise location of the sensor installation position), real-time concentration value, and data acquisition timestamp data. Similarly... This represents a subset of valid infrared signals, where n indicates that there are a total of n valid infrared signals. Each valid infrared signal contains the corresponding latitude and longitude coordinates (to accurately locate the sensor installation position), hotspot temperature value, and data acquisition timestamp data.
[0058] To avoid weak signals being concentrated in certain areas, a contribution weight is assigned to each valid signal. , k represents a single valid signal, the weighted fusion signal strength and the degree of deviation from the benchmark threshold, the specific calculation formula for the contribution weight is as follows:
[0059] ;
[0060] in This represents the core indicator of the k-th signal. The smoke signal uses real-time smoke concentration data Ci, and the infrared signal uses real-time temperature data Tj. This represents the core data threshold; C0 is used for smoke signals, and Tmax+T0 is used for infrared signals. This indicates the system's preset signal limits, such as a maximum smoke concentration of 500 ppm or a maximum infrared temperature of 300℃. The linear weighting coefficients are dynamically set based on the city's building density. The nonlinear adjustment coefficient is preset by the system after calibration based on historical fire signal data.
[0061] Based on the latitude and longitude of the valid signals, the weighted geometric center is calculated as the core point of the concentrated area of abnormal fire signals. The specific calculation formula is as follows:
[0062] ;
[0063] in Represents the latitude and longitude coordinates of a single valid signal. Represents the minimum constant, weight The larger the signal, the greater its contribution to the center coordinates, ensuring that the core point shifts towards areas with high fire intensity (such as a point with extremely high smoke concentration, which will significantly pull the center off course).
[0064] Taking into account both signal strength distribution and spatial dispersion, using the formula Determine the boundary radius, where This represents the baseline radius coefficient, which is set based on the city's road network density and actual needs. The latitude and longitude coordinates of a single valid signal represent the straight-line distance to the weighting center, and d represents the average straight-line distance from the latitude and longitude coordinates of all valid signals to the weighting center. The balance coefficient represents the numerical value of the signal distribution characteristics of the suitable area, which is finally determined by statistical fitting or machine learning model calibration based on urban road network density, building density, and historical fire signal distribution data.
[0065] The intelligent fire hydrant scheduling module filters qualified fire hydrants in the target area and sorts them into a scheduling pool according to two dimensions: distance and water pressure efficiency. It generates a scheduling plan and distributes it to multiple terminals simultaneously. If a priority fire hydrant suddenly malfunctions, it automatically fills the gap from the secondary queue.
[0066] Access the qualified fire hydrant database, filter all qualified fire hydrants within the fire monitoring target area, and extract core information: real-time water pressure value, accurate latitude and longitude, equipment number, and the most recent data update timestamp;
[0067] Establish a two-dimensional priority ranking model:
[0068] First dimension (distance priority): Taking the geometric center of the area where the fire anomaly signal is concentrated as the origin, calculate the straight-line distance of each qualified fire hydrant, sort them from near to far, and set a distance threshold D (e.g., 1 kilometer). Fire hydrants with a distance ≤ D are included in the priority dispatch pool.
[0069] The second dimension (efficiency priority): For fire hydrants in the priority dispatch pool, they are sorted according to water pressure ≥ F1.5 (F1.5 is the optimal fire extinguishing water pressure threshold, which is the core threshold determined by back-calculation of the optimal water output efficiency in conventional fire extinguishing scenarios, and is between [F1, F2]) → water pressure in [F1, F1.5) or (F1.5, F2], to ensure that the equipment with the best fire extinguishing efficiency is matched first.
[0070] Generate a visual scheduling solution:
[0071] Mark the fire center and the location of each qualified fire hydrant on the electronic map, and use different colors to distinguish priorities (e.g., red = first priority, yellow = second priority, blue = standby).
[0072] The system automatically calculates the optimal route for fire trucks from the nearest fire station to the primary priority fire hydrant (avoiding congested sections and construction areas, and combining real-time traffic data), and simultaneously marks key usage information such as the opening method and interface specifications of the fire hydrant.
[0073] Simultaneous command issuance from multiple devices:
[0074] Dispatch plans, fire data of target areas, and fire hydrant details are pushed to the fire dispatch center system through the cloud platform interface;
[0075] Send navigation routes, fire hydrant priority lists, and real-time status updates (such as water pressure fluctuations and whether equipment is occupied) to the vehicle-mounted terminals of emergency vehicles and firefighters' handheld terminals.
[0076] Dynamic adjustment mechanism: If a sudden abnormality occurs in the fire hydrant in the priority dispatch pool (such as the cover being opened without authorization or a sudden drop in water pressure), the system will immediately fill the gap from the secondary priority queue, recalculate the route and synchronize it to the relevant terminals to ensure the continuity of the dispatch plan.
[0077] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
[0078] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims
1. A full-state monitoring and emergency dispatch system for intelligent fire hydrants, characterized in that, include: The intelligent fire hydrant status monitoring module is used to deploy intelligent terminals that can monitor multi-dimensional status data of fire hydrants in real time. It uploads and collects data through timed / event-triggered low-power wide area network technology. After preprocessing, the data is judged to be qualified according to preset standards. Qualified fire hydrants are included in the real-time updated qualified database, while abnormal ones are marked and removed. The fire monitoring target area determination module constructs a signal contribution weight formula, integrates signal strength and the degree of deviation from the benchmark threshold, and uses the effective signal latitude and longitude and weight as a basis to locate the core coordinates of the concentrated fire area, ensuring that the core shifts towards the strong signal area. It sets a dynamic boundary radius formula, taking into account the signal strength weighted average distance and spatial dispersion, adapting to different signal distribution scenarios, and finally accurately determining the core and boundary of the concentrated area of abnormal fire signals. First, it connects to the city's IoT sensing network, using the intersection of the city's administrative divisions and the coverage area of the sensing subnet as the initial target area. After detecting a fire alarm signal, it expands to form a temporary area centered on the first abnormal sensing device. The two are then merged into the final fire monitoring target area. Subsequently, it receives two core data types within this area: smoke and infrared thermal imaging. It sets a time threshold T, an abnormal signal time difference, and a core data threshold. A comprehensive screening process was conducted to form a subset of effective smoke and infrared signals containing corresponding key data, T and The settings are based on historical data statistics combined with actual conditions; The intelligent fire hydrant scheduling module filters qualified fire hydrants within the target area, sorts them by distance and water pressure efficiency to form a scheduling pool, generates a scheduling plan and distributes it synchronously to multiple terminals. If a priority fire hydrant experiences a sudden malfunction, it automatically fills the gap from the secondary queue.
2. The intelligent fire hydrant full-state monitoring and emergency dispatch system according to claim 1, characterized in that, Deploy intelligent terminals capable of real-time monitoring of multi-dimensional status data of fire hydrants. The specific method is as follows: The monitoring unit deployed on the physical fire hydrant is referred to as the intelligent fire hydrant terminal. Its core components include a water pressure sensor, which is used to monitor the water pressure inside the fire hydrant in real time. The water pressure state threshold range [F1, F2] is preset based on historical data and actual needs. When the monitoring data is within this range, the water pressure state is judged to be normal; otherwise, it is judged to be abnormal. The tilt sensor, which uses a triaxial accelerometer, monitors whether the fire hydrant has been knocked down by a vehicle or has tilted abnormally. Based on historical data and actual needs, a tilt threshold 'a' is preset. If the tilt sensor's monitored data exceeds the threshold, it is determined that the hydrant has been knocked down or tilted. Electromagnetic / mechanical status sensors monitor whether the fire hydrant cap has been opened without authorization. If the cap is open and the water pressure sensor detects continuous water flow, but no valid waterworks order has been received, the status is determined to be abnormal. And a positioning sensor used to provide accurate geographical location information of fire hydrants, a microprocessor responsible for collecting and preprocessing data from each sensor, and controlling communication.
3. The intelligent fire hydrant full-state monitoring and emergency dispatch system according to claim 1, characterized in that, A signal contribution weighting formula is constructed, which integrates signal strength with the degree of deviation from the benchmark threshold. The specific method is as follows: Using formula The signal contribution weights are represented by the weights, where This represents the core indicator of the k-th signal. The smoke signal uses real-time smoke concentration data, and the infrared signal uses real-time temperature data. Indicates the core data threshold. The linear weighting coefficients are dynamically set based on the city's building density. The nonlinear adjustment coefficient is preset by the system after calibration based on historical fire signal data.
4. The intelligent fire hydrant full-state monitoring and emergency dispatch system according to claim 1, characterized in that, Based on the effective signal latitude, longitude, and weight, the core coordinates of the concentrated fire area are located. The specific method is as follows: Using formula This indicates the coordinates of the core point in the area where abnormal fire signals are concentrated. Represents the latitude and longitude coordinates of a single valid signal. This represents the minimum constant.
5. The intelligent fire hydrant full-state monitoring and emergency dispatch system according to claim 1, characterized in that, The formula for setting the dynamic boundary radius is as follows: Using formula Determine the boundary radius, where This represents the baseline radius coefficient, which is set based on the city's road network density and actual needs. The latitude and longitude coordinates of a single valid signal represent the straight-line distance to the weighting center, and d represents the average straight-line distance from the latitude and longitude coordinates of all valid signals to the weighting center. The balance coefficient represents the numerical value of the signal distribution characteristics of the suitable area, which is finally determined by statistical fitting or machine learning model calibration based on urban road network density, building density, and historical fire signal distribution data.
6. The intelligent fire hydrant full-state monitoring and emergency dispatch system according to claim 1, characterized in that, Qualified fire hydrants within the target area are selected and sorted into a dispatch pool based on both distance and water pressure efficiency. A dispatch plan is then generated and simultaneously distributed to multiple terminals. The specific method is as follows: The qualified fire hydrant database is accessed to screen all qualified fire hydrants within the target area of the fire monitoring, and the real-time water pressure value, accurate latitude and longitude, equipment number and the most recent data update timestamp are extracted as core information. Establish a two-dimensional priority ranking model: The first dimension is distance priority: taking the geometric center of the area where the fire anomaly signal is concentrated as the origin, calculate the straight-line distance of each qualified fire hydrant and sort them from near to far. Set a distance threshold D and include fire hydrants with a distance ≤ D in the priority dispatch pool. The second dimension is the efficiency priority: fire hydrants in the priority dispatch pool are sorted in the order of water pressure ≥ F1.5 → water pressure in [F1, F1.5) or (F1.5, F2], where F1.5 is the optimal fire extinguishing water pressure threshold, which is the intermediate value of [F1, F2] determined by back-deduction based on the optimal water output efficiency in conventional fire extinguishing scenarios. Mark the fire center and the location of each qualified fire hydrant on the electronic map, distinguish the priority with different colors, automatically calculate the optimal driving route for fire trucks from the nearest fire station to the first priority fire hydrant, and simultaneously mark the opening method and interface specifications of the fire hydrant. The system pushes dispatch plans, fire data of target areas, and details of fire hydrants to the fire dispatch center system via the cloud platform interface. If a fire hydrant in the priority dispatch pool experiences a sudden malfunction, the system immediately selects a replacement hydrant from the secondary priority queue, recalculates the route, and synchronizes it to the relevant terminals.