Fire-fighting equipment intelligent management system based on Internet of Things

Abstract

The invention relates to the technical field of equipment operation and maintenance, and discloses a fire-fighting equipment intelligent management system and method based on the Internet of Things, and the system comprises a sensing layer which comprises a sensor and is used for collecting the fire-fighting state information of fire-fighting equipment in real time; the Internet of Things communication layer is used for transmitting the fire-fighting state information collected by the sensing layer to the application layer; the application layer is provided with a data processing module, a storage module and a user interaction module, the data processing module is used for analyzing and processing the received fire-fighting state information, and the storage module is used for storing historical data and real-time data of fire-fighting equipment. The system can accurately collect the state information of the fire-fighting equipment in real time, and grasp the physical parameter state of the fire-fighting equipment at any time; the Internet of Things communication layer realizes stable and efficient data transmission with the application layer, and the system can quickly and accurately transmit information acquired in real time to the application layer for processing, thereby providing data support for timely decision making.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment operation and maintenance, and in particular to an intelligent management system and method for fire-fighting facilities based on the Internet of Things. Background Art

[0002] Currently, various buildings and places are equipped with a large number of fire-fighting facilities, such as fire hydrant systems, automatic sprinkler systems, fire alarm systems, etc. These fire-fighting facilities are the key to preventing and controlling fires. However, the traditional management methods of fire-fighting facilities have many defects.

[0003] Traditional firefighting facility management relies on manual inspections, which are not only inefficient but also easily affected by human factors, resulting in missed inspections or false inspections. For example, manual inspections may fail to detect potential failures of firefighting facilities in a timely manner due to differences in the professional level of inspectors and their slack work attitudes. At the same time, the manual inspection cycle is long, and it is difficult to detect problems with firefighting facilities in time between two inspections. Once a fire occurs, these faulty firefighting facilities will not function properly, seriously threatening people's lives and property. Summary of the invention

[0004] The embodiment of the present invention provides an intelligent management system and method for fire-fighting facilities based on the Internet of Things to solve the problem that traditional fire-fighting facility management relies on manual inspections, which is not only inefficient but also easily affected by human factors, resulting in missed inspections or false inspections.

[0005] An intelligent management system for fire-fighting facilities based on the Internet of Things, comprising: The perception layer includes sensors for collecting firefighting status information of firefighting facilities in real time. The sensors include one or more of pressure sensors, temperature sensors, smoke sensors and position sensors. The IoT communication layer uses wireless communication protocols to transmit the fire status information collected by the perception layer to the application layer; The application layer is provided with a data processing module, a storage module and a user interaction module. The data processing module is used to analyze and process the received fire status information to confirm whether there is any fault or abnormality in the fire protection facilities. The storage module is used to store the historical data and real-time data of the fire protection facilities. The user interaction module is used to provide a human-computer interaction interface for displaying the status of the fire protection facilities and receiving alarm information.

[0006] An intelligent management method for fire-fighting facilities based on the Internet of Things, using the above system, includes: The firefighting status information of firefighting facilities is collected in real time through sensors in the perception layer; The collected fire status information is transmitted to the application layer through the IoT communication layer; The data processing module of the application layer analyzes and processes the fire status information to confirm whether the fire protection facilities are normal; If it is confirmed that there is a fault or abnormality in the fire protection facilities, an alarm message is sent through the alarm module, and the fire protection status information is stored in the storage module, and the fire protection facility status and alarm information are pushed through the user interaction module; According to the operation data and maintenance cycle of fire-fighting facilities, the application layer generates fire-fighting facility maintenance tasks.

[0007] The above-mentioned intelligent management system and method of fire-fighting facilities based on the Internet of Things, wherein the system can accurately collect the status information of fire-fighting facilities in real time, and grasp the physical parameter status of fire-fighting facilities at any time, such as fire-fighting pipe pressure, equipment temperature, etc., and respond immediately once an abnormality occurs; the Internet of Things communication layer realizes stable and efficient data transmission with the application layer. Different from traditional fire-fighting facilities that cannot feedback information in real time, the system can quickly and accurately transmit the real-time collected information to the application layer for processing, providing data support for timely decision-making; the data processing module of the application layer conducts in-depth analysis of the operating data of the fire-fighting facilities, can predict possible failures of the fire-fighting facilities, and issue early warnings, so that managers can arrange maintenance work in advance and avoid sudden failures of fire-fighting facilities; the user interaction module provides a convenient human-computer interaction interface, which can intuitively display the status of fire-fighting facilities and receive alarm information. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0009] Figure 1 A schematic diagram of the application environment of an intelligent management system for fire-fighting facilities based on the Internet of Things in one embodiment of the present invention is shown; Figure 2 A flow chart of a method for intelligent management system of fire-fighting facilities based on the Internet of Things in one embodiment of the present invention is shown. DETAILED DESCRIPTION

[0010] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0011] The intelligent management system for fire fighting facilities based on the Internet of Things provided by the embodiment of the present invention can be applied in Figure 1 In the application environment, the intelligent management system of fire-fighting facilities based on the Internet of Things includes a perception layer, an Internet of Things communication layer and an application layer, wherein the perception layer is electrically connected to the Internet of Things communication layer, the Internet of Things communication layer is connected to the application layer through a wireless network, and the application layer communicates with the server through the network. The server can be implemented by an independent server or a server cluster or cloud service composed of multiple servers.

[0012] From the perspective of information acquisition, traditional firefighting facilities cannot provide real-time feedback on their own status. For example, important parameters such as the water level of the fire pool and the pressure of the fire pipe cannot be transmitted to the management personnel in real time. Problems can only be discovered during inspections or when a fire occurs, and at this time, the best time for maintenance has often been missed. In addition, traditional firefighting facility management is almost blank in data processing and analysis, making it difficult to effectively evaluate and predict the operating status of firefighting facilities. It is impossible to judge the service life of firefighting facilities and the frequent failure points based on historical data, which is not conducive to the formulation of scientific and reasonable maintenance plans, resulting in waste of resources or untimely maintenance.

[0013] With the rapid development of Internet of Things technology, its application in the field of fire protection facility management has become an inevitable trend. Internet of Things technology can realize information exchange between objects and between objects and people. By deploying sensors and other equipment on fire protection facilities, the status information of fire protection facilities can be collected in real time and transmitted to the management platform through the network for centralized management and analysis. The intelligent management system of fire protection facilities based on the Internet of Things has emerged, aiming to solve many problems in the management of traditional fire protection facilities, improve the intelligent level of fire protection facility management, ensure that fire protection facilities are in good operating condition at any time, and provide strong guarantee for fire protection safety.

[0014] In one embodiment, if Figure 1 As shown, an intelligent management system for fire protection facilities based on the Internet of Things is provided. Figure 1 The server in the example is used as an example to illustrate the following: The perception layer includes a variety of sensors for collecting fire status information of fire-fighting facilities in real time. The sensors include one or more of pressure sensors, temperature sensors, smoke sensors and position sensors, which are used to perceive the physical parameter status of fire-fighting facilities in real time. The fire-fighting facilities also include a microprocessor, which is connected to the sensors to perform preliminary processing and caching on the data collected by the sensors.

[0015] IoT communication layer,The IoT communication layer adopts wireless communication protocol to transmit the fire status information collected by the perception layer to the application layer.

[0016] Among them, wireless communication protocols include: one or more of NB-IoT, LoRa, 4G, 5G, Wi-Fi and Bluetooth to achieve stable and efficient data transmission with the application layer. The IoT communication layer has data encryption function to prevent data from being stolen or tampered with during transmission.

[0017] The application layer is equipped with a data processing module, a storage module and a user interaction module. The data processing module is used to analyze and process the received fire status information. Specifically, the data analysis module uses data mining algorithms and machine learning models to analyze the operation data of fire protection facilities, predict possible failures of fire protection facilities, and issue early warnings to confirm whether there are failures or abnormalities in fire protection facilities. The storage module is used to store historical data and real-time data of fire protection facilities.

[0018] Specifically, the storage time of historical status information, maintenance records and other data can be set to no less than 2 years. The storage module uses cloud storage technology to achieve secure storage and backup of data to ensure data integrity and reliability. The user interaction module is used to provide a human-computer interaction interface for displaying the status of fire protection facilities and receiving alarm information. The application layer receives the status information transmitted by the Internet of Things communication layer, stores, analyzes and processes the status information, and issues an early warning message when an abnormal status of a fire protection facility is detected. The application layer also has the functions of generating a maintenance plan for fire protection facilities and collecting statistics on the operation data of fire protection facilities.

[0019] The implementation of the perception layer may include: dense deployment of various sensors on fire protection facilities. Install pressure sensors on fire protection pipes to monitor the water pressure in the pipes in real time to ensure the stability of fire protection water supply. Install temperature sensors on key heat-generating parts of fire protection equipment, such as fire pump motors, to keep track of the operating temperature of the equipment at all times and prevent failures caused by overheating. Reasonably arrange smoke sensors in each fire protection zone to detect smoke generated in the early stage of a fire in a timely manner. For movable fire protection facilities, such as fire extinguishers, they are equipped with position sensors to facilitate tracking of their locations to prevent loss or misappropriation. These sensors will continuously collect status information of fire protection facilities and transmit it to the microprocessor connected to them. The microprocessor performs preliminary noise reduction, filtering and other processing on the collected data to improve the accuracy and reliability of the data, and then caches the processed data for transmission.

[0020] The implementation of the IoT communication layer may include: The IoT communication layer adopts a combination of multiple wireless communication protocols to adapt to different environments and needs. In areas with weak signals but high power consumption requirements, such as the bottom of a fire pool, NB-IoT or LoRa communication protocols are used to ensure stable data transmission and low device power consumption. In areas with good network coverage and high data transmission speed requirements, such as shopping malls, community property offices, etc., 4G and 5G communication technologies are used to achieve fast data transmission. For some short-distance communication scenarios, such as communication between modules inside fire protection facilities, Wi-Fi or Bluetooth technology can be used. During data transmission, encryption algorithms are used to encrypt data, and real data can only be obtained through specific decryption keys at the application layer to ensure the security of data transmission.

[0021] The implementation of the application layer may include: the application layer is built on a cloud server or a local high-performance server. The data processing module continuously receives the firefighting facility status information transmitted from the IoT communication layer, and uses pre-set data mining algorithms and machine learning models to conduct in-depth analysis of these data. For example, by learning the historical data such as pressure and temperature of the fire pump, a normal operating status model is established. When there is a large deviation between the real-time data and the model, it is determined that the fire pump may have a fault. The storage module uses cloud storage technology to classify and store the historical data and real-time data of firefighting facilities for no less than 2 years, which is convenient for backtracking and analysis at any time.

[0022] The user interaction module provides a human-computer interaction interface through web pages and mobile applications. Managers can check the status of fire protection facilities and receive alarm information anytime and anywhere through computers or mobile phones. When the system detects a fire protection facility failure or abnormality, it can promptly notify relevant personnel through SMS, APP push, etc., and highlight the location and type of the failure on the interface, so that managers can make decisions quickly and arrange maintenance work.

[0023] The intelligent management system for firefighting facilities based on the Internet of Things provided in this embodiment has the following beneficial effects: Real-time and accurate monitoring to improve safety: Through the pressure sensors, temperature sensors, smoke sensors, position sensors and other sensors deployed in the perception layer, the status information of fire-fighting facilities can be accurately collected in real time. Compared with the traditional manual inspection, which cannot detect problems with fire-fighting facilities in time, the system can grasp the physical parameter status of fire-fighting facilities at any time, such as fire-fighting pipeline pressure, equipment temperature, etc., and respond immediately once an abnormality occurs. For example, the pressure sensor can monitor the pressure of the fire-fighting pipeline in real time. When the pressure is lower than the normal range, it can issue a warning in time to ensure that the fire-fighting facilities can operate normally when a fire occurs, greatly improving the level of fire safety protection.

[0024] Efficient and stable transmission to ensure data security: The IoT communication layer adopts one or more of a variety of wireless communication protocols such as NB-IoT, LoRa, 4G, 5G, Wi-Fi and Bluetooth to achieve stable and efficient data transmission with the application layer. At the same time, it has data encryption function to effectively prevent data from being stolen or tampered with during transmission, ensuring the security and reliability of the transmission of fire protection facility status information. Unlike traditional fire protection facilities that cannot provide real-time feedback, this system can quickly and accurately transmit real-time collected information to the application layer for processing, providing data support for timely decision-making.

[0025] Intelligent analysis and prediction, optimized maintenance management: The data processing module of the application layer uses data mining algorithms and machine learning models to conduct in-depth analysis of the operating data of fire protection facilities, which can predict possible failures of fire protection facilities and issue early warnings. This is in sharp contrast to the blank of traditional fire protection facility management in data processing and analysis, enabling managers to arrange maintenance work in advance to avoid sudden failures of fire protection facilities. In addition, the storage module uses cloud storage technology to store historical data and real-time data of fire protection facilities for no less than 2 years, ensuring the integrity and reliability of the data, making it easy to access and analyze at any time, and helping to formulate scientific and reasonable maintenance plans, reduce resource waste, and improve maintenance efficiency.

[0026] Convenient human-computer interaction, improve management efficiency: The user interaction module provides a convenient human-computer interaction interface, which can intuitively display the status of fire protection facilities and receive alarm information. Managers no longer need to go through tedious manual inspection records to understand the status of fire protection facilities. They can get the required information at a glance on the human-computer interaction interface, and can also receive alarm information in time and respond quickly. In addition, the application layer also has the functions of generating fire protection facility maintenance plans and counting fire protection facility operation data, which comprehensively improves the intelligence level and work efficiency of fire protection facility management and provides strong support for fire safety management.

[0027] In a specific embodiment of the intelligent management system for fire-fighting facilities based on the Internet of Things, a pressure sensor is installed in the fire-fighting water pipe system to monitor the water pressure in real time. When the water pressure is lower than a preset water pressure threshold, an abnormal water pressure signal is sent to the application layer through the Internet of Things communication layer.

[0028] Specifically, pressure sensors are precisely installed at the main pipes and key branch pipe nodes of the fire water pipe system. The selection of these locations needs to be professionally evaluated to ensure that the water pressure of the entire fire water pipe system can be fully and accurately monitored. For example, in large commercial complexes, pressure sensors are installed at the outlet of the fire water pump, the starting end of the fire water pipes on each floor, and the middle of long-distance pipes. During installation, it is necessary to ensure that the pressure sensor is tightly connected to the water pipe to prevent water leakage and pressure measurement errors.

[0029] The pressure sensor continuously monitors the water pressure in the fire hose in real time. The sensing element inside it converts the water pressure signal into an electrical signal, which is amplified and filtered by the built-in signal conditioning circuit to make the signal more stable and accurate. The processed electrical signal is then transmitted to the microprocessor connected to it.

[0030] When the pressure sensor detects that the water pressure is lower than the preset water pressure threshold, the microprocessor will immediately convert this abnormal situation into a specific water pressure abnormality signal. The signal is transmitted through the IoT communication layer. During the signal transmission process, the IoT communication layer will automatically select the appropriate wireless communication protocol according to the on-site network environment, such as using 4G or 5G technology for fast transmission in areas with stable network signals; if it is in an area with weak signals, such as the fire water pipe in the basement, it will switch to NB-IoT or LoRa protocol to ensure that the signal can be sent stably. At the same time, the communication layer will encrypt the signal to prevent the signal from being stolen or tampered with during transmission.

[0031] After the application layer receives the abnormal water pressure signal, the data processing module will quickly analyze and confirm the signal. Once the water pressure abnormality is determined, the storage module will record the time, location and related water pressure data of the abnormality. The user interaction module will highlight the specific location of the water pressure abnormality in the fire water pipe system on the human-computer interaction interface through the web and mobile applications, and prompt the management personnel with eye-catching colors and icons. At the same time, the system will promptly send the water pressure abnormality information to the relevant fire facility management personnel and maintenance personnel through SMS, APP push, etc., so that they can take quick measures, such as checking whether the fire water pump is operating normally, checking whether there are leaks in the water pipe, etc., to ensure that the fire water pipe system restores normal water pressure as soon as possible and ensure fire safety.

[0032] In a specific embodiment of the intelligent management system for fire protection facilities based on the Internet of Things, temperature sensors and smoke sensors are set in fire monitoring areas, such as distribution rooms, warehouses, etc. When it is detected that the temperature or smoke concentration exceeds the set fire alarm value, a fire warning signal is sent to the application layer.

[0033] Specifically, in the distribution room, considering that electrical equipment is concentrated and generates a lot of heat, temperature sensors are installed in key locations such as the inside of the distribution cabinet and cable tray. These locations can accurately monitor the temperature changes caused by the operation of electrical equipment. Smoke sensors are installed on the ceiling of the distribution room and are evenly distributed to ensure that any possible smoke can be captured in time. In the warehouse, according to the storage conditions and spatial layout of the goods, temperature sensors are installed in areas where goods are stacked high and ventilation is relatively poor, as well as near the vents of the warehouse. Smoke sensors are installed in various corners and above the passages of the warehouse to avoid smoke detection being affected by obstructions caused by goods. The installation process ensures that the sensors are firmly fixed and the detection range is unobstructed.

[0034] The temperature sensor uses high-precision thermistors and other sensing elements to continuously monitor the ambient temperature. When the temperature changes, the resistance value of the thermistor changes accordingly, and the change in resistance value is converted into an electrical signal through a specific circuit. After the built-in signal processing chip amplifies the electrical signal and performs analog-to-digital conversion, accurate temperature data is obtained. The smoke sensor works on the principle of light scattering or ion sensing. Taking the principle of light scattering as an example, when smoke particles enter the sensing area of ​​the sensor, the light will be scattered by the smoke particles, and the photosensitive element inside the sensor will generate an electrical signal change after receiving the scattered light, and the smoke concentration data will be output after amplification and processing.

[0035] When the temperature sensor detects that the temperature exceeds the preset fire alarm value, or the smoke sensor detects that the smoke concentration reaches the alarm threshold, the microprocessor connected to it will quickly convert these abnormal data into fire warning signals. The signal is transmitted through the IoT communication layer. The IoT communication layer will also automatically select the appropriate wireless communication protocol according to the on-site network conditions. For example, if the network signal in the distribution room is good, Wi-Fi or 4G will be used for fast transmission; if the signal in some areas of the warehouse is weak, LoRa or NB-IoT protocol will be used to ensure signal stability. During the transmission process, the communication layer will encrypt the signal to ensure data security.

[0036] After the application layer receives the fire warning signal, the data processing module immediately analyzes and confirms the signal. Once it is determined to be a fire warning, the storage module will quickly record the time and specific location of the warning, such as a certain distribution cabinet in the distribution room, a certain area in the warehouse, and the temperature, smoke concentration and other data at that time. The user interaction module uses the web and mobile applications to highlight the specific location of the fire warning on the human-computer interaction interface with a flashing red icon and eye-catching text, and at the same time issue a sharp alarm. The system will also send text messages and APP push notifications to fire management personnel, duty personnel and other relevant personnel to inform them of the details of the fire warning. After receiving the notification, the relevant personnel can quickly activate the emergency plan, such as arranging personnel to go to the scene to check, prepare fire-fighting equipment, etc., and take timely measures to prevent the occurrence and spread of fire and protect the lives and property of personnel.

[0037] In a specific embodiment of the intelligent management system for fire-fighting facilities based on the Internet of Things, position sensors are installed on movable fire-fighting equipment, such as fire trucks, fire-fighting robots, etc., to locate the equipment location information of the fire-fighting equipment in real time, and transmit the equipment location information to the application layer to facilitate dispatch and command.

[0038] Specifically, on a fire truck, the position sensor can be installed in a stable part of the vehicle's chassis to ensure that vibrations and bumps during the vehicle's driving process will not affect its normal operation. At the same time, the installation location must ensure good signal reception and avoid being blocked by other parts of the vehicle body. For example, it can be installed on both sides of the chassis near the front or rear of the vehicle. For firefighting robots, due to their complex and changeable working environment, the position sensor is installed at the top center of the robot, which can not only ensure all-round signal reception, but also minimize the impact of changes in the robot's motion posture on the signal.

[0039] The location sensor uses technologies such as the global positioning system GPS or the Beidou satellite navigation system to determine its own geographical coordinates by receiving satellite signals. The chip inside the sensor interprets and processes the satellite signals and converts the received signals into accurate location information such as latitude, longitude and altitude. This location information will be continuously updated and output to achieve real-time tracking of the location of firefighting equipment.

[0040] The position sensor transmits the real-time location information of the fire-fighting equipment to the microprocessor connected to it. After the microprocessor performs preliminary sorting and encoding of the location information, it sends the data to the application layer through the IoT communication layer. The IoT communication layer automatically selects the appropriate communication method according to the environment and network signal conditions of the fire-fighting equipment. In areas with good network coverage in the city, fire trucks can use 4G or 5G networks to quickly transmit location information; in some remote areas or places with weak signals, fire-fighting robots may use low-power, long-distance communication technologies such as satellite communication or LoRa to ensure the stable transmission of location information. During the transmission process, the communication layer will encrypt the data to prevent information leakage.

[0041] After the application layer receives the location information of the fire-fighting equipment, the data processing module will match and integrate this information with the electronic map. On the human-computer interaction interface of the user interaction module, the real-time location of the fire-fighting equipment is displayed in an intuitive way, such as marking the location of the fire truck and the fire-fighting robot with a specific icon on the electronic map, and updating its movement trajectory in real time. Fire dispatch commanders can clearly understand the distribution and action status of each fire-fighting equipment through this interface. When an emergency such as a fire occurs, the dispatcher can quickly formulate a reasonable dispatch plan based on the fire situation and the location of the fire-fighting equipment, such as dispatching the nearest fire truck to the fire scene, commanding the fire-fighting robot to enter the dangerous area for investigation and fire-fighting operations, etc. In this way, the efficiency and accuracy of fire dispatch command are greatly improved, providing strong support for the rapid and effective response to disasters such as fires.

[0042] In a specific embodiment of the fire-fighting facility intelligent management system based on the Internet of Things, the data processing module uses a data analysis algorithm to analyze the collected historical data to predict the probability of failure of the fire-fighting facilities so that maintenance can be carried out in advance.

[0043] Specifically, in the intelligent management system of fire-fighting facilities based on the Internet of Things, the data processing module plays a key role in ensuring the stable operation of fire-fighting facilities. It uses data analysis algorithms to analyze historical data to predict the probability of failure of fire-fighting facilities, thereby achieving early maintenance.

[0044] First, the system can continuously collect historical data from various firefighting facilities. These data cover the operating status information of firefighting facilities since they were put into use, such as the number of starts and stops of fire pumps, operating hours, pressure changes, the number of false alarms of fire alarm systems, sensor sensitivity data, etc. Through the various sensors of the perception layer and the transmission of the IoT communication layer, these data are summarized in the storage module of the application layer. The storage module will classify and store the data according to the dimensions of time sequence, equipment type, etc., and establish a detailed data archive to ensure the integrity and traceability of the data.

[0045] The data processing module uses a variety of advanced data analysis algorithms, such as the ARIMA algorithm based on time series analysis, the decision tree algorithm in the field of machine learning, and the neural network algorithm. Taking the fire pump as an example, the ARIMA algorithm is used to analyze its historical pressure data, and the trend, seasonality and periodicity characteristics in the data are mined by modeling the time series data. The decision tree algorithm can be used to build a decision tree model based on multiple operating parameters of the fire pump, such as current, temperature, pressure, etc., to analyze the correlation between these parameters and the degree of influence on the occurrence of faults. The neural network algorithm simulates the working mode of neurons in the human brain and learns and trains a large amount of historical data of fire protection facilities, so as to have the ability to recognize and predict complex data patterns.

[0046] The data processing module can regularly extract the historical data of the fire-fighting facilities from the storage module and perform calculations using the selected data analysis algorithm. Taking the fault prediction of the fire pump as an example, the historical pressure, temperature, current and other data of the fire pump are first input into the trained neural network model. After complex calculations and data feature extraction, the model outputs a fault probability value. At the same time, combined with the analysis results of the ARIMA algorithm on the pressure data and the judgment of the relationship between the parameters by the decision tree model, the fault probability value output by the neural network model is corrected and verified. If, after comprehensive analysis, it is concluded that the probability of failure of the fire pump in a certain period of time in the future exceeds the preset threshold, such as 30%, the threshold can be adjusted according to the importance of the fire-fighting facilities and the actual operating experience, then it is determined that the fire pump has a high risk of failure.

[0047] Once the data processing module predicts that the probability of failure of fire-fighting facilities is high, the system will immediately send an early warning notification to the fire-fighting facility managers through the user interaction module. On the human-computer interaction interface, the name, location, and predicted failure probability of the fire-fighting facilities with failure risks can be displayed in a striking manner. After receiving the early warning, the managers can formulate a detailed maintenance plan based on the failure prediction report provided by the system and the actual situation. For example, for fire-fighting pumps with a high predicted failure probability, professional technicians are arranged to conduct a comprehensive inspection in advance, including checking the sealing of the pump body, the wear of the impeller, the electrical performance of the motor, etc., and repair and replace parts for potential problems in a timely manner to ensure that the fire-fighting facilities are effectively maintained before failure occurs, to ensure their normal operation, and to improve the level of fire safety protection.

[0048] In a specific embodiment of the intelligent management system for firefighting facilities based on the Internet of Things, the user interaction module includes a PC interface and a mobile terminal. The user can view the status information and alarm information of the firefighting facilities anytime and anywhere through the PC interface or the mobile terminal. The user can view the status information of the firefighting facilities, receive early warning information and maintenance reminders anytime and anywhere through the mobile client, and can remotely control the firefighting facilities. Specifically, if the authority permits, the mobile client has an offline cache function, and when the network signal is poor, the cached status information of the firefighting facilities can still be viewed.

[0049] Specifically, in the intelligent management system of fire-fighting facilities based on the Internet of Things, the user interaction module provides users with convenient operation and information acquisition methods, which includes PC interface and mobile terminal to meet users' usage needs in different scenarios.

[0050] The PC interface is mainly for office staff and professional technicians in the fire protection facility management department. When the user opens the PC management system, an electronic map can be set up with the geographical location of each fire protection facility marked on it. By clicking the fire protection facility icon on the map, a detailed information window can be popped up to display the real-time status information of the fire protection facility, such as the operating pressure and temperature of the fire pump, the working status of the fire alarm system, etc. At any position on the interface, there is an alarm information prompt bar. Once a fire protection facility sends an alarm signal, the prompt bar will remind with flashing red fonts and eye-catching icons, accompanied by a sound alarm. Users can click on the alarm information to view the detailed alarm content, including alarm time, alarm type, fault location, etc. In addition, the PC interface also provides data statistical analysis functions. Users can intuitively view the historical operation data and fault frequency of fire protection facilities in the form of charts, which is convenient for management and maintenance decisions of fire protection facilities.

[0051] Mobile applications are convenient and can be accessed anywhere, anytime through mobile phones or tablets, providing simplicity and information readability. On the homepage, users can browse brief status information of each fire-fighting facility, such as normal, faulty, and under maintenance. Click to enter the specific fire-fighting facility page to view more detailed status data, including various sensor data collected in real time. For early warning information and maintenance reminders, the mobile terminal will promptly notify users through system push, and users can receive messages in time without opening the application. If the authority permits, users can also remotely control fire-fighting facilities. For example, when a fire pump has an abnormal situation and needs to be shut down urgently, the authorized manager can click the corresponding control button on the mobile terminal to remotely shut down the fire pump.

[0052] To ensure the security of the system and the standardization of operations, a permission management mechanism can be set up for both PC and mobile terminals. Different user roles are given different permissions. For example, ordinary operators can only view the status information of fire protection facilities and receive alarm information; while managers have more permissions, including viewing detailed historical data, performing remote control operations, and formulating maintenance plans. When a user logs in, the system will verify the user's permissions based on the account and password entered by the user, and display the corresponding function menu and operation options based on the permission level.

[0053] The mobile terminal can also have an offline cache function to provide information when the network signal is poor. When the user is in an area with poor network coverage, such as a basement or remote mountainous area, the mobile client will automatically enable the offline cache function. When the network is normal, the mobile terminal will automatically cache recent fire protection facility status information, including real-time data, historical data, and alarm records of the equipment. When the network signal is poor, the user can still view the cached information when opening the mobile client, and the understanding of the fire protection facility status will not be affected by network problems. Once the network returns to normal, the mobile client will automatically synchronize the operation records and data changes generated during the offline period to the server to ensure data consistency and integrity.

[0054] In a specific embodiment of the fire protection facility intelligent management system based on the Internet of Things, the application layer has a user management function, and can set different permissions for different users, including but not limited to viewing permissions, operating permissions, and management permissions.

[0055] The application layer sends early warning information and maintenance reminders to relevant personnel through SMS, email, APP push, etc.

[0056] In a specific embodiment of the intelligent management system for fire-fighting facilities based on the Internet of Things, an alarm module is also included. When the application layer confirms that there is a fault in the fire-fighting facilities or a fire occurs, the alarm module sends an alarm message to relevant personnel via text messages, voice, etc.

[0057] In a specific embodiment of the intelligent management system for fire-fighting facilities based on the Internet of Things, the system has a self-diagnosis module that can regularly detect its own hardware and software to ensure the normal operation of the system.

[0058] Specifically, in the intelligent management system of fire-fighting facilities based on the Internet of Things, the self-diagnosis module can ensure the stable and reliable operation of the system.

[0059] The system will conduct a comprehensive test on hardware devices regularly. At the perception layer, for various sensors, such as pressure sensors and temperature sensors, the system will send a test signal to check whether the sensor's sensing element is working properly and whether the measured data is within a reasonable range. For example, at regular intervals, such as every morning, the system sends a calibration signal to the pressure sensor. After receiving the signal, the sensor can perform an internal self-test to check the accuracy of the pressure measurement and feedback the self-test results to the system. For devices at the IoT communication layer, such as wireless communication modules, the system will detect indicators such as communication signal strength and connection stability. If the communication signal strength is found to be lower than the preset value, the system will automatically try to switch the communication frequency band or adjust the antenna position to ensure stable data transmission. At the application layer, the detection of server hardware includes performance monitoring of key components such as CPU, memory, and hard disk. Through hardware monitoring software, the operating parameters of the hardware, such as CPU usage and memory occupancy, are obtained in real time. Once an abnormality in hardware performance is found, such as the CPU being under high load for a long time, the system will issue an early warning and try to automatically optimize related processes to release system resources.

[0060] In terms of software, the system can detect various programs and algorithms running on itself. For the data analysis algorithm in the data processing module, the system will regularly use simulated data for testing to check the accuracy and stability of the algorithm. For example, a periodic time period is selected every week, and a subset of historical data is used as simulated data, which is input into the fault prediction algorithm. The output of the algorithm is compared with the known actual situation. If the deviation exceeds the allowable range, the system will automatically retrain the algorithm or adjust the parameters. For the software of the user interaction module, the system will check whether the interface display is normal and whether the operation response is timely. Through automated testing tools, various user operations are simulated, such as clicking buttons, querying data, etc., to detect whether the software has problems such as freezing and flashing back. At the same time, the system will also test the security of the software, regularly scan for vulnerabilities, and prevent hacker attacks and data leaks.

[0061] The detection cycle of the system self-diagnosis module is not fixed, but is flexibly adjusted according to actual conditions. For some key hardware devices and core software modules, the detection cycle is relatively short, such as once an hour or a day, to ensure that potential problems can be discovered and solved in a timely manner. For some relatively stable parts that are less prone to failure, the detection cycle can be appropriately extended, such as once a week or a month. In addition, the system also has the ability to dynamically adjust the detection cycle. When the system detects that its own load is high or the network environment is unstable, it will automatically shorten the detection cycle and strengthen the monitoring of the system; when the system runs smoothly, the detection cycle will be appropriately extended to reduce resource consumption.

[0062] When the system detects an abnormality in the hardware or software during the self-diagnosis process, it will start the exception handling mechanism. The system can record the abnormal information in detail, including the time, location, type, etc. of the abnormality. Then, an early warning notification is sent to the system administrator through the user interaction module, and the administrator is prompted in a striking manner on the PC interface and mobile application that the system has an abnormality. At the same time, the system can automatically repair simple problems, such as restarting faulty equipment and automatically updating software patches. For problems that cannot be repaired automatically, the system can generate a detailed fault report to provide administrators with a reference for troubleshooting and repair, helping administrators to restore the normal operation of the system as soon as possible, and ensuring that the intelligent management system of fire protection facilities based on the Internet of Things is always in a reliable working state.

[0063] In one embodiment, a laser multi-beam etching control method for pole piece scribing is provided, which is used in the intelligent management system of fire fighting facilities based on the Internet of Things and corresponds one-to-one with the intelligent management system of fire fighting facilities based on the Internet of Things in the above embodiment. Figure 2 As shown, the intelligent management method of fire-fighting facilities based on the Internet of Things specifically includes the following steps: S110. Collect firefighting status information of firefighting facilities in real time through sensors in the perception layer.

[0064] S120. Transmit the collected fire status information to the application layer through the Internet of Things communication layer.

[0065] S130. The data processing module of the application layer analyzes and processes the fire status information to confirm whether the fire protection facilities are normal.

[0066] S140. If it is confirmed that there is a fault or abnormality in the fire-fighting facilities, an alarm message is sent through the alarm module, and the fire-fighting status information is stored in the storage module, and the fire-fighting facility status and alarm information are pushed through the user interaction module.

[0067] S150. Based on the operation data and maintenance cycle of the fire-fighting facilities, the application layer generates fire-fighting facility maintenance tasks.

[0068] Specifically, this embodiment collects the status information of the fire-fighting facilities through the perception layer corresponding to the fire-fighting facility terminal. The collected status information is transmitted to the application layer through the Internet of Things communication layer. The application layer stores, analyzes and processes the received status information, and issues a warning message when it is confirmed that the status of the fire-fighting facilities is abnormal.

[0069] In the step of collecting the status information of the fire-fighting facilities through the fire-fighting facility terminal, the sensor unit collects the physical parameters of the fire-fighting facilities such as pressure, temperature, and water level in real time, and transmits the data to the microprocessor for preliminary processing. The microprocessor performs denoising and filtering on the collected data to improve the accuracy and reliability of the data.

[0070] The IoT communication layer transmits the collected status information to the application layer. The IoT communication layer automatically selects the optimal communication method, such as NB-IoT, LoRa, 4G or 5G, for data transmission based on signal strength and network conditions.

[0071] The IoT communication layer encrypts data before transmission and decrypts it at the receiving end to ensure data transmission security.

[0072] In the steps of storing, analyzing and processing the received status information at the application layer, the data analysis module uses data mining algorithms and machine learning models to analyze the historical operation data of fire protection facilities and establish a fire protection facility operation status prediction model. When the deviation between the status information collected in real time and the result of the prediction model exceeds the preset threshold, the fire protection facility status is judged to be abnormal and an early warning message is issued.

[0073] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0074] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0075] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. An intelligent management system for fire-fighting facilities based on the Internet of Things, characterized in that: include: A perception layer, the perception layer includes sensors for collecting firefighting status information of firefighting facilities in real time, the sensors include: one or more of a pressure sensor, a temperature sensor, a smoke sensor and a position sensor; An Internet of Things communication layer, wherein the Internet of Things communication layer adopts a wireless communication protocol to transmit the fire status information collected by the perception layer to the application layer; The application layer is provided with a data processing module, a storage module and a user interaction module. The data processing module is used to analyze and process the received fire status information to confirm whether there is a fault or abnormality in the fire protection facilities. The storage module is used to store the historical data and real-time data of the fire protection facilities. The user interaction module is used to provide a human-computer interaction interface for displaying the status of the fire protection facilities and receiving alarm information.

2. According to the Internet of Things-based intelligent management system for fire-fighting facilities according to claim 1, it is characterized in that: The pressure sensor is installed in the fire water pipe system to monitor the water pressure in real time. When the water pressure is lower than a preset water pressure threshold, an abnormal water pressure signal is sent to the application layer through the Internet of Things communication layer.

3. According to the Internet of Things-based intelligent management system for fire-fighting facilities as described in claim 1, it is characterized in that: The temperature sensor and the smoke sensor are arranged in the fire monitoring area, and are used to send a fire warning signal to the application layer when it is detected that the temperature or the smoke concentration exceeds the set fire alarm value.

4. According to the Internet of Things-based intelligent management system for fire-fighting facilities as claimed in claim 1, it is characterized in that: The position sensor is installed on the movable fire-fighting equipment, and is used to locate the equipment position information of the fire-fighting equipment in real time, and transmit the equipment position information to the application layer.

5. According to the Internet of Things-based intelligent management system for fire-fighting facilities as claimed in claim 1, it is characterized in that: The data processing module uses a data analysis algorithm to analyze the collected historical data to predict the probability of failure of fire protection facilities.

6. The intelligent management system for fire-fighting facilities based on the Internet of Things according to claim 1 is characterized in that: The user interaction module includes a PC interface and a mobile terminal, which is used to push the fire status information, the alarm information and maintenance reminders of the fire protection facilities through the PC interface or the mobile terminal, and receive remote operation instructions sent by a third party.

7. The intelligent management system for fire-fighting facilities based on the Internet of Things according to claim 6 is characterized in that: The user interaction module includes a user management module, which is used to set different permissions for different users, including at least one of viewing permissions, operating permissions and management permissions.

8. The intelligent management system for fire-fighting facilities based on the Internet of Things according to claim 1 is characterized in that: The application layer also includes: an alarm module, which is used to send alarm information through a preset alarm method when the application layer confirms that there is a fault in the fire-fighting facilities or a fire occurs.

9. The intelligent management system for fire-fighting facilities based on the Internet of Things according to claim 1 is characterized in that: The system is provided with a self-diagnosis module for regularly testing the hardware and software of the system.

10. An intelligent management method for fire-fighting facilities based on the Internet of Things, applied to the system according to any one of claims 1 to 9, characterized in that: include: The firefighting status information of firefighting facilities is collected in real time through sensors in the perception layer; The collected fire status information is transmitted to the application layer through the Internet of Things communication layer; The data processing module of the application layer analyzes and processes the fire status information to confirm whether the fire protection facilities are normal; If it is confirmed that the fire-fighting facility has a fault or anomaly, an alarm message is sent through the alarm module, the fire-fighting status information is stored in the storage module, and the fire-fighting facility status and the alarm message are pushed through the user interaction module; The application layer generates fire protection facility maintenance tasks according to the operation data and maintenance cycle of the fire protection facility.

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