Fire-fighting remote monitoring system and method based on Internet of Things
By installing water pressure detectors and data processors in fire-fighting equipment, and dynamically adjusting the static water pressure threshold in conjunction with floor height and real-time municipal water supply pressure, the problem of misjudgment in fire-fighting equipment water pressure monitoring has been solved, achieving more accurate water pressure judgment.
Patent Information
- Application Number
- CN202511259871.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-04
- Publication Date
- 2025-11-18
AI Technical Summary
In existing technologies, water pressure monitoring of fire-fighting equipment is prone to errors due to fixed threshold judgments and cannot adapt to different heights and fluctuations in municipal water supply pressure.
By using water pressure detectors installed in fire hydrants and sprinkler systems, and combining the floor height and real-time municipal water supply pressure, the static water pressure threshold is dynamically adjusted and corrected using a data processor to ensure the accuracy of the monitoring results.
This technology enables dynamic adjustment of water pressure monitoring thresholds based on actual conditions, improving the accuracy of water pressure monitoring for fire-fighting equipment and reducing the risk of misjudgment.
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Figure CN120960713A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of fire-fighting technology, in particular to a fire-fighting remote monitoring system and method based on Internet of Things. BACKGROUND
[0002] When monitoring the water pressure of fire-fighting equipment, the water pressure of the fire-fighting equipment is generally compared with a fixed threshold to determine whether the water pressure in the fire-fighting equipment is low, and further determine whether the fire-fighting equipment has a fault. However, this determination method does not conform to the actual situation. First, the water pressure requirements of fire-fighting equipment at different heights are inconsistent. Second, the municipal water supply pressure is not constant but fluctuates. Therefore, using a fixed threshold to determine whether the water pressure of the fire-fighting equipment is low is prone to incorrect determination. SUMMARY
[0003] Therefore, it is necessary to provide a fire-fighting remote monitoring system and method based on Internet of Things to solve the technical problem that incorrect determination is prone to occur when monitoring the water pressure of fire-fighting equipment.
[0004] To solve the above problems, in a first aspect, the present application provides a fire-fighting remote monitoring system based on Internet of Things, comprising: a first water pressure detector arranged at a fire hydrant; a second water pressure detector arranged at a sprinkler system; a data processor configured to receive the water pressure of the fire hydrant collected by the first water pressure detector and the water pressure of the sprinkler system collected by the second water pressure detector, determine a first static water pressure threshold based on the floor height where the fire hydrant is located, determine a second static water pressure threshold based on the floor height where the sprinkler system is located, correct the first static water pressure threshold based on the real-time municipal water supply pressure at the location of the fire hydrant, correct the second static water pressure threshold based on the real-time municipal water supply pressure at the location of the sprinkler system, determine that the fire hydrant has a fault if the water pressure of the fire hydrant is less than the corrected first static water pressure threshold, and determine that the sprinkler system has a fault if the water pressure of the sprinkler system is less than the corrected second static water pressure threshold.
[0005] In a possible implementation, the correction of the first static water pressure threshold based on the real-time municipal water supply pressure at the location of the fire hydrant comprises: subtracting the average of the all-day municipal water supply pressure at the location of the fire hydrant from the real-time municipal water supply pressure at the location of the fire hydrant to obtain a first pressure difference; adding the first pressure difference to the first static water pressure threshold to obtain the corrected first static water pressure threshold.
[0006] In a possible implementation, the correction of the second static water pressure threshold based on the real-time municipal water supply pressure at the location of the sprinkler system comprises: Subtracting the real-time municipal water supply pressure of the location of the sprinkler system from the average value of the all-day municipal water supply pressure of the location of the sprinkler system to obtain a second pressure difference value; Adding the second hydrostatic pressure threshold value to the second pressure difference value to obtain a corrected second hydrostatic pressure threshold value.
[0007] In a possible implementation, the Internet of Things fire-fighting remote monitoring system further comprises: A liquid level detector arranged at the fire-fighting water tank; The data processor is further configured to receive fire-fighting water tank liquid level data collected by the liquid level detector, and issue a warning if the fire-fighting water tank liquid level data is below a preset water level threshold.
[0008] In a possible implementation, the Internet of Things fire-fighting remote monitoring system further comprises: A video monitoring device arranged at the water pump house; The data processor is further configured to receive video images collected by the video monitoring device, and issue a warning if it is identified that there is water leakage or a fire in the video images.
[0009] In a possible implementation, the first water pressure detector is fixed inside the pipeline of the fire hydrant, and a first filter screen is further fixed to the surface of the first water pressure detector.
[0010] In a possible implementation, the second water pressure detector is fixed inside the pipeline of the sprinkler system, and a second filter screen is further fixed to the surface of the second water pressure detector.
[0011] In a possible implementation, the data processor is further configured to perform fire identification on video images captured by a camera in the area where the sprinkler system is located, and control the sprinkler system to be turned on if a fire is identified.
[0012] In a possible implementation, the data processor is further configured to control a drone carrying a water pipe to fly to the fire area and control an electronic on-off valve on the fire hydrant to be turned on if a fire still exists after the sprinkler system has been turned on for a target duration.
[0013] In a second aspect, the present application further provides an Internet of Things fire-fighting remote monitoring method, which is applied to the system described in any of the above aspects, and the method comprises: The data processor receives the fire hydrant water pressure collected by the first water pressure detector and the spray system water pressure collected by the second water pressure detector, determines the first hydrostatic pressure threshold based on the floor height where the fire hydrant is located, determines the second hydrostatic pressure threshold based on the floor height where the spray system is located, corrects the first hydrostatic pressure threshold based on the real-time municipal water supply pressure at the location of the fire hydrant, and corrects the second hydrostatic pressure threshold based on the real-time municipal water supply pressure at the location of the spray system, determines that the fire hydrant has a fault in the case that the fire hydrant water pressure is less than the corrected first hydrostatic pressure threshold, and determines that the spray system has a fault in the case that the spray system water pressure is less than the corrected second hydrostatic pressure threshold.
[0014] The beneficial effects of the above implementation manner are that the Internet of Things fire remote monitoring system and method provided by the application determine the first hydrostatic pressure threshold based on the floor height where the fire hydrant is located, determine the second hydrostatic pressure threshold based on the floor height where the spray system is located, correct the first hydrostatic pressure threshold based on the real-time municipal water supply pressure at the location of the fire hydrant, and correct the second hydrostatic pressure threshold based on the real-time municipal water supply pressure at the location of the spray system, determine that the fire hydrant has a fault in the case that the fire hydrant water pressure is less than the corrected first hydrostatic pressure threshold, and determine that the spray system has a fault in the case that the spray system water pressure is less than the corrected second hydrostatic pressure threshold. The application determines the hydrostatic pressure threshold based on the actual floor where the fire hydrant and the spray system are located, corrects the hydrostatic pressure threshold according to the real-time municipal water supply pressure, so that the corrected hydrostatic pressure threshold is more in line with the current actual situation, compares the monitored fire hydrant water pressure or spray system water pressure with the corresponding hydrostatic pressure threshold, and the result is also more accurate, thereby solving the technical problem that water pressure monitoring of fire equipment is prone to incorrect judgment. BRIEF DESCRIPTION OF DRAWINGS
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can also be obtained by those skilled in the art without creative labor.
[0016] Figure 1 The principle block diagram of one embodiment of the Internet of Things fire remote monitoring system provided by the application; Figure 2 The flowchart of one embodiment of the Internet of Things fire remote monitoring method provided by the application. DETAILED DESCRIPTION
[0017] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described in the description of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.
[0018] In the description of the embodiments of the present application, the meaning of "a plurality of" is two or two or more, unless otherwise specified.
[0019] In the embodiments of the present application, the terms "comprising" and "having" and any variations thereof are intended to cover the inclusions that are not exclusive, for example, a process, method, device, product or equipment comprising a series of steps or modules does not have to be limited to the clearly listed steps or modules, but can include other steps or modules that are not clearly listed or inherent to the process, method, product or equipment.
[0020] The naming or numbering of steps appearing in the embodiments of the present application does not mean that the steps in the method flow must be performed in the time / logical order indicated by the naming or numbering. The flow steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.
[0021] In this document, the reference to "embodiments" means that the particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The phrase appears at various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood that the embodiments described herein can be combined with other embodiments.
[0022] The present application provides an Internet of Things fire-fighting remote monitoring system and method, which are described below respectively.
[0023] As shown in Figure 1 The present application provides an Internet of Things fire-fighting remote monitoring system, which comprises: A first water pressure detector 101 arranged at a fire hydrant; A second water pressure detector 102 arranged at a sprinkler system; The data processor 103 is configured to receive the fire hydrant water pressure collected by the first water pressure detector 101 and the spray system water pressure collected by the second water pressure detector 102, determine a first hydrostatic pressure threshold based on the floor height where the fire hydrant is located, determine a second hydrostatic pressure threshold based on the floor height where the spray system is located, correct the first hydrostatic pressure threshold based on the real-time municipal water supply pressure at the location of the fire hydrant, correct the second hydrostatic pressure threshold based on the real-time municipal water supply pressure at the location of the spray system, and determine that the fire hydrant is faulty when the fire hydrant water pressure is less than the corrected first hydrostatic pressure threshold, and determine that the spray system is faulty when the spray system water pressure is less than the corrected second hydrostatic pressure threshold.
[0024] It can be understood that the hydrostatic pressure refers to the vertical force exerted on the contact surface of a stationary fluid (such as a liquid) by its own gravity. The number of first water pressure detectors 101 can be multiple, and the number of fire hydrants can also be multiple, with one first water pressure detector 101 arranged for each fire hydrant. Similarly, the number of second water pressure detectors 102 can also be multiple, and the number of spray systems can also be multiple, with one second water pressure detector 102 arranged for each spray system.
[0025] Generally, each floor of a building is configured with a fire hydrant, and each fire hydrant is configured with a unique identification code. By identifying the identification code, the floor where the corresponding fire hydrant is located can be determined. According to the floor where the fire hydrant is located and the floor height of each floor, the height of the fire hydrant from the ground can be determined, and according to the height, the hydrostatic pressure required by the fire hydrant can be determined as the hydrostatic pressure threshold.
[0026] The normal water pressure range of a fire hydrant is between 0.3-0.6Mpa. Generally speaking, the higher the floor, the lower the corresponding water pressure, but as long as it is within the normal water pressure range, it is allowed. Therefore, the hydrostatic pressure threshold of a low floor will be larger than that of a high floor. Considering the actual situation, the hydrostatic pressure thresholds of different floors will be different, and the specific threshold can be set according to the floor, as long as the aforementioned requirements are met.
[0027] In addition, the municipal water supply pressure may also be different at different time periods. For example, during the peak water usage period, the municipal water supply pressure will decrease, while during the low water usage period, the municipal water supply pressure will increase. Therefore, the fluctuation of the municipal water supply pressure will also affect the water pressure monitoring of the fire hydrant and the spray system. In order to reduce the influence of the fluctuation of the municipal water pressure on the water pressure monitoring, the hydrostatic pressure threshold is corrected according to the real-time municipal water supply pressure.
[0028] The present application adjusts the hydrostatic pressure threshold for water pressure monitoring in real time according to the actual situation of the fire hydrant and the spray system, so that the water pressure monitoring result is more accurate.
[0029] In some embodiments, the first hydrostatic pressure threshold is corrected based on a real-time municipal water supply pressure at the hydrant site, including: Subtracting the real-time municipal water supply pressure at the hydrant site from an all-day municipal water supply pressure average at the hydrant site to obtain a first pressure difference value; Adding the first hydrostatic pressure threshold and the first pressure difference value to obtain a corrected first hydrostatic pressure threshold.
[0030] It can be understood that the all-day municipal water supply pressure average at the hydrant site can be an average value obtained according to the municipal water supply pressure corresponding to the whole point time in a day. When the first pressure difference value is positive, it indicates that the municipal water supply pressure at the current time is large, and therefore the first hydrostatic pressure threshold is increased. Conversely, when the first pressure difference value is negative, it indicates that the municipal water supply pressure at the current time is small, and therefore the first hydrostatic pressure threshold is decreased. By dynamically adjusting the first hydrostatic pressure threshold, the monitoring and judgment of water pressure are more accurate.
[0031] In some embodiments, the second hydrostatic pressure threshold is corrected based on a real-time municipal water supply pressure at the sprinkler system site, including: Subtracting the real-time municipal water supply pressure at the sprinkler system site from an all-day municipal water supply pressure average at the sprinkler system site to obtain a second pressure difference value; Adding the second hydrostatic pressure threshold and the second pressure difference value to obtain a corrected second hydrostatic pressure threshold.
[0032] It can be understood that the all-day municipal water supply pressure average at the sprinkler system site can be an average value obtained according to the municipal water supply pressure corresponding to the whole point time in a day. When the second pressure difference value is positive, it indicates that the municipal water supply pressure at the current time is large, and therefore the second hydrostatic pressure threshold is increased. Conversely, when the second pressure difference value is negative, it indicates that the municipal water supply pressure at the current time is small, and therefore the second hydrostatic pressure threshold is decreased. By dynamically adjusting the second hydrostatic pressure threshold, the monitoring and judgment of water pressure are more accurate.
[0033] In some embodiments, the Internet of Things fire-fighting remote monitoring system further includes: A liquid level detector 104 arranged at the fire-fighting water tank; The data processor 103 is further configured to receive fire-fighting water tank liquid level data collected by the liquid level detector 104, and issue a warning if the fire-fighting water tank liquid level data is lower than a preset water level threshold.
[0034] It can be understood that the fire water tank is generally arranged on the roof, and the fire water tank can be connected with the fire water supply pipeline to fill the pipeline with water. When the water level in the fire water tank is below a threshold value, there is a fire safety hazard, and at this time, a warning needs to be given to check whether the fire water tank has a water leakage or the like.
[0035] In some embodiments, the Internet of Things fire remote monitoring system further comprises: a video monitoring device arranged in the water pump room; The data processor 103 is further configured to receive a video image collected by the video monitoring device and issue a warning when identifying that there is a water leakage or a fire in the video image.
[0036] It can be understood that in the present embodiment, a neural network model can be used to identify the water leakage or fire area in the image. Specifically, sample images labeled with water leakage areas and fire areas are obtained, the sample images are input into a semantic segmentation model U-Net for training, and the trained model is used to identify the images to be identified to determine the water leakage or fire area.
[0037] In some embodiments, the first water pressure detector 101 is fixed inside the pipeline of the fire hydrant, and a first filter screen is further fixed on the surface of the first water pressure detector 101.
[0038] The second water pressure detector 102 is fixed inside the pipeline of the sprinkler system, and a second filter screen is further fixed on the surface of the second water pressure detector 102.
[0039] It can be understood that the water flow in the pipeline contains some stone particles or metal particles, which can damage the water pressure detector over time. Therefore, a filter screen is arranged outside the water pressure detector to ensure the safety of the water pressure detector and prolong the service life of the water pressure detector.
[0040] In some embodiments, the data processor 103 is further configured to perform fire identification on a video image captured by a camera in the area where the sprinkler system is located, and control the sprinkler system to start when a fire is identified.
[0041] It can be understood that when a fire is identified, the sprinkler system is controlled to start to extinguish the fire in time and prevent the fire from spreading.
[0042] In some embodiments, the data processor 103 is further configured to control a drone carrying a water pipe to fly to a fire area and control an electronic on-off valve on the fire hydrant to open when a fire still exists after the sprinkler system has been opened for a target duration.
[0043] It can be understood that, after the control of the sprinkler system is opened when the fire is identified, if the fire has not been extinguished, it is necessary to continue to increase the fire-fighting strength, and the unmanned aerial vehicle is controlled to take a water pipe to extinguish the fire.
[0044] The application further provides a fire-fighting remote monitoring method of the Internet of Things, which is applied to the system. Figure 2 As shown in the figure, the method comprises the following steps: S201, the data processor 103 receives the water pressure of the fire hydrant collected by the first water pressure detector 101 and the water pressure of the sprinkler system collected by the second water pressure detector 102, determines the first static water pressure threshold based on the floor height where the fire hydrant is located, and determines the second static water pressure threshold based on the floor height where the sprinkler system is located; S202, the data processor 103 corrects the first static water pressure threshold based on the real-time municipal water supply pressure of the site where the fire hydrant is located, and corrects the second static water pressure threshold based on the real-time municipal water supply pressure of the site where the sprinkler system is located; S203, the data processor 103 determines that the fire hydrant has a fault in the case that the water pressure of the fire hydrant is less than the corrected first static water pressure threshold, and determines that the sprinkler system has a fault in the case that the water pressure of the sprinkler system is less than the corrected second static water pressure threshold.
[0045] The fire-fighting remote monitoring system and method of the Internet of Things provided by the application are described in detail above, and the principles and implementation modes of the application are described by applying specific examples in this paper. The above example is only used to help understand the method and core idea of the application. Meanwhile, for those skilled in the art, according to the idea of the application, the specific implementation mode and application range will be changed, and the above description should not be understood as a limitation of the application.
Claims
1. An Internet of Things (IoT) fire remote monitoring system, characterized in that, include: The first water pressure detector is installed at the fire hydrant; A second water pressure detector is installed in the sprinkler system; The data processor receives the fire hydrant water pressure collected by the first water pressure detector and the sprinkler system water pressure collected by the second water pressure detector. It determines a first static pressure threshold based on the floor height of the fire hydrant and a second static pressure threshold based on the floor height of the sprinkler system. It also corrects the first static pressure threshold and the second static pressure threshold based on the real-time municipal water supply pressure at the fire hydrant's location. If the fire hydrant water pressure is lower than the corrected first static pressure threshold, it determines that the fire hydrant is faulty; if the sprinkler system water pressure is lower than the corrected second static pressure threshold, it determines that the sprinkler system is faulty.
2. The IoT-based remote fire monitoring system according to claim 1, characterized in that, The first static pressure threshold is corrected based on the real-time municipal water supply pressure at the location of the fire hydrant, including: The first pressure difference is obtained by subtracting the average daily municipal water supply pressure at the location of the fire hydrant from the real-time municipal water supply pressure at the location of the fire hydrant. The first hydrostatic pressure threshold is added to the first pressure difference to obtain the corrected first hydrostatic pressure threshold.
3. The IoT-based remote fire monitoring system according to claim 1, characterized in that, The second static pressure threshold is corrected based on the real-time municipal water supply pressure at the location of the sprinkler system, including: The second pressure difference is obtained by subtracting the average daily municipal water supply pressure of the sprinkler system location from the real-time municipal water supply pressure of the sprinkler system location. The second hydrostatic pressure threshold is added to the second pressure difference to obtain the corrected second hydrostatic pressure threshold.
4. The IoT-based remote fire monitoring system according to claim 1, characterized in that, Also includes: A liquid level detector installed in a fire water tank; The data processor is also used to receive the fire water tank level data collected by the level detector, and to issue an early warning when the fire water tank level data is lower than a preset water level threshold.
5. The IoT-based remote fire monitoring system according to claim 1, characterized in that, Also includes: Video surveillance equipment installed in the pump room; The data processor is also used to receive video images collected by the video monitoring device and to issue an early warning when water leakage or fire is detected in the video images.
6. The IoT-based remote fire monitoring system according to claim 1, characterized in that, The first water pressure detector is fixed inside the fire hydrant pipe, and a first filter screen is also fixed on the surface of the first water pressure detector.
7. The IoT-based remote fire monitoring system according to claim 1, characterized in that, The second water pressure detector is fixed inside the pipeline of the spray system, and a second filter screen is also fixed on the surface of the second water pressure detector.
8. The Internet of Things (IoT) fire remote monitoring system according to any one of claims 1-7, characterized in that, The data processor is also used to identify fires in video images captured by cameras in the area where the sprinkler system is located, and to control the sprinkler system to start when a fire is detected.
9. The IoT-based remote fire monitoring system according to claim 8, characterized in that, The data processor is also used to control a drone carrying a water pipe to fly to the fire area and control the electronic switch valve on the fire hydrant to open if the fire still exists after the sprinkler system has been turned on for a target time; one end of the water pipe is mounted on the drone and the other end is connected to the fire hydrant.
10. A method for remote fire monitoring via the Internet of Things, characterized in that, The method is applied to the system according to any one of claims 1-9, and the method includes: The data processor receives the fire hydrant water pressure collected by the first water pressure detector and the sprinkler system water pressure collected by the second water pressure detector. It determines the first static water pressure threshold based on the floor height where the fire hydrant is located and the second static water pressure threshold based on the floor height where the sprinkler system is located. The data processor corrects the first static pressure threshold based on the real-time municipal water supply pressure at the location of the fire hydrant, and corrects the second static pressure threshold based on the real-time municipal water supply pressure at the location of the sprinkler system. The data processor determines that a fire hydrant is faulty when the water pressure in the fire hydrant is less than the corrected first static water pressure threshold, and determines that a sprinkler system is faulty when the water pressure in the sprinkler system is less than the corrected second static water pressure threshold.