Railway fire pump room monitoring control system

Abstract

The utility model discloses a railway fire-fighting pump room monitoring control system, and relates to the technical field of railway fire-fighting facilities. The system comprises a centralized control center, a monitoring control cabinet, a non-inductive acquisition smart eye and a terahertz radar, wherein the non-inductive acquisition smart eye comprises an infrared thermal imaging sensor, a visible light image sensor, a movable pan-tilt camera and an edge AI module. According to the utility model, various key parameters in the pump room can be continuously monitored in real time through the non-inductive acquisition intelligent eye, the water level depth of the water accumulated on the ground of the pump room can be effectively monitored through the terahertz radar water level detection technology, and the data can help managers to know the operation state of the pump room in real time and can also help managers to monitor the water level depth of the ground of the pump room. Potential fault points can be predicted through data analysis, maintenance and intervention can be carried out in advance, the intelligent monitoring and control system of the pump room can find out potential safety hazards in the pump room in time through real-time monitoring and early warning, such as equipment overheating and too low liquid level, and therefore accidents are avoided.

Description

Technical Field

[0001] This utility model belongs to the technical field of railway fire protection facilities, and in particular relates to the monitoring and control system for railway fire pump rooms. Background Technology

[0002] As a vital national transportation infrastructure, the safety and reliability of railway operations are of paramount importance. Firefighting plays a crucial role in the railway transportation system, and fire pump stations distributed along railway lines are the core guarantee for fire fighting. With the rapid development of technology, modern railway transportation has increasingly higher requirements for fire safety. It is necessary not only to promptly detect and handle faults in fire pump stations, but also to achieve accurate prediction and intelligent management of equipment operating status.

[0003] Traditional railway fire pump room management mainly relies on regular manual inspections. The time interval between manual inspections is relatively long, making it difficult to monitor the operating status of the fire pump room in real time. During the time between two inspections, equipment may experience sudden failures or abnormal changes in operating parameters, and these problems cannot be detected in time. Secondly, manual inspections are inefficient. Railway lines are long and fire pump rooms are widely distributed, requiring inspection personnel to spend a lot of time and energy traveling and conducting on-site inspections.

[0004] To address these issues, we have developed a monitoring and control system for railway fire pump rooms. Utility Model Content

[0005] The purpose of this utility model is to provide a monitoring and control system for railway fire pump rooms. By combining a central control center, a monitoring and control cabinet, a non-contact data acquisition smart eye, and a terahertz radar, it solves the problem that the existing railway fire pump room management model, which relies on manual periodic inspections, cannot achieve real-time and continuous monitoring of the fire pump room.

[0006] To solve the above-mentioned technical problems, this utility model is achieved through the following technical solution.

[0007] This utility model relates to a monitoring and control system for railway fire pump rooms, comprising a central control center, a monitoring and control cabinet, a non-contact data acquisition smart eye, and a terahertz radar. The non-contact data acquisition smart eye includes an infrared thermal imaging sensor, a visible light image sensor, a movable gimbal camera, and an edge AI module. The output of the infrared thermal imaging sensor is unidirectionally electrically connected to the input of the edge AI module, the output of the visible light image sensor is unidirectionally electrically connected to the input of the edge AI module, and the output of the movable gimbal camera is unidirectionally electrically connected to the input of the edge AI module. The monitoring and control cabinet includes a pump room main unit, a display screen, a data acquisition sub-unit, and a fire inspection cabinet. The central control center includes a data receiving module, a data processing module, a 5G communication module, and a remote control module.

[0008] The utility model further sets up, data receiving module receives data information from monitoring control cabinet, non -inductive collection wisdom eye and terahertz radar transmission through 5G network.

[0009] The utility model further sets up, the drive collection extension machine adopts the plug -in connector connection, passes through CAN and pump house host communication.

[0010] The utility model further sets up, the pump house host adopts 3U machine case design, built -in processing board card has video interface, connects display screen as man -machine interface, UI information shows the operation data of pump house.

[0011] The utility model further sets up, terahertz radar adopts 120GHz frequency band FMCW radar, and it is installed in the top of pump house.

[0012] The utility model further sets up, the output of data receiving module and the input of data processing module one -way electric connection, the output of 5G communication module and the input of data processing module two -way electric connection, the output of remote control module and the input of data processing module two -way electric connection.

[0013] The utility model further sets up, the control center still includes alarm module, the input of alarm module and the output of data processing module one -way electric connection.

[0014] The utility model further sets up, the output of drive collection extension machine and the input of pump house host one -way electric connection, the output of pump house host and the input of display screen one -way electric connection.

[0015] The utility model has the advantages of the following.

[0016] 1, the utility model can monitor various key parameters in pump house in real time, continuously through non -inductive collection wisdom eye, through terahertz radar water level detection technology, effectively monitor the water level depth of pump house ground water, these data not only can help the management personnel to understand the operation state of pump house in real time, can also predict potential trouble point through data analysis, carries out maintenance and intervention in advance, and pump house intelligent monitoring control system can discover the security hidden danger in pump house in time, such as equipment overheating, low liquid level etc., thereby avoid the occurrence of accident, in addition, these devices can also be linked with the monitoring system of fire department, realize remote monitoring and control, ensure the safe operation of pump house.

[0017] 2,The utility model discloses a system can effectively solve the traditional fire pump house management relies on artificial patrol and regular maintenance, not only low efficiency, and easy to miss the problem, and the non -inductive collection wisdom eye can real -time monitoring pump house equipment's operating condition, and timely discovery and handle the abnormal situation, ensure the sustained and efficient operation of equipment, in addition, through the analysis of data, the management personnel can also optimize the pump operation strategy, realize the reduction of energy consumption and the maximization of utilization of resources, reduce management cost, along with the development of artificial intelligence and internet of things technology, the combination of non -inductive collection device and cloud computing, big data etc. technology makes the management of fire pump house gradually realizes the intellectualization, and the management personnel can monitor the operation condition of pump house through the computer remote control and adjust, management efficiency is improved greatly, in addition, through the analysis processing of the data collected, the management personnel can also provide more scientific decision support for fire fighting, along with the continuous progress of technology and the expansion of application scope, pump house intelligent monitoring control system will play a more important role in future fire fighting. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical scheme of the utility model embodiment, the following will be needed to use the drawing described in the embodiment briefly introduced.

[0019] Figure 1 It is the composition diagram of railway fire pump house monitoring control system.

[0020] Figure 2 It is the composition diagram of non -inductive collection wisdom eye in railway fire pump house monitoring control system.

[0021] Figure 3 It is the system principle diagram of non -inductive collection wisdom eye in railway fire pump house monitoring control system.

[0022] Figure 4 It is the composition diagram of monitoring control cabinet in railway fire pump house monitoring control system.

[0023] Figure 5 It is the system principle diagram of monitoring control cabinet in railway fire pump house monitoring control system.

[0024] Figure 6 It is the composition diagram of centralized control center in railway fire pump house monitoring control system.

[0025] Figure 7 It is the system principle diagram of centralized control center in railway fire pump house monitoring control system. DETAILED DESCRIPTION

[0026] The technical scheme in the utility model embodiment will be described below, and the described embodiment is only a part of the utility model, not all.

[0027] Embodiment one

[0028] Please refer to Figures 1-7 The utility model discloses a railway fire pump house monitoring control system, including control center, monitoring control cabinet, noninductive collection wisdom eye and terahertz radar, noninductive collection wisdom eye includes infrared thermal imaging sensor, visible light image sensor, movable cloud platform camera and edge AI module, the output of infrared thermal imaging sensor is connected with the input of edge AI module one-way electric connection, the output of visible light image sensor is connected with the input of edge AI module one-way electric connection, the output of movable cloud platform camera is connected with the input of edge AI module one-way electric connection, and monitoring control cabinet includes pump house host computer, display screen, drive collection extension and fire inspection cabinet, and control center includes data receiving module, data processing module, 5G communication module and remote control module.

[0029] Specifically: the control software and operation data management software are installed in the control center, which can monitor the operation of all fire pump rooms in one monitoring interface, realize centralized control, and the control center is a software platform for operation management of the fire pump room, a platform for multiple users to log in and access real-time operation information of the pump room, a basis for analyzing and processing operation faults of the fire pump room, and a BIM modeling technology is adopted to model the fire pump room equipment, which has the advantages of enhancing user experience, intuitive data visualization, real-time data updating and synchronization, etc. If any computer on the network needs to log in to the control center, it must be equipped with an authorized hardware U-shield, enter a legal username and correct password, and then log in to the control center and enter the fire pump room monitoring and control system for related operations. The control center software has video monitoring and alarm linkage network alarm functions; it has the function of adding pump rooms to the system; it has the function of centralized control of multiple pump rooms; it has the function of processing and managing production data. The non-inductive collection intelligent eye is a fusion device integrating camera and processing board, which can realize all the functions of ordinary cameras, and can also process video information in real time through AI algorithm, directly output event results according to preset events, and has good device compatibility. It can be used in newly built fire pump rooms, and can also be applied to AI video processing in old pump rooms through additional installation. The infrared thermal imaging sensor can non-contact monitor the temperature of the equipment in the fire pump room, and intuitively present the temperature distribution of the equipment through thermal imaging technology, effectively find local overheating hazards of the equipment, and early warn equipment failure. It can accurately detect the temperature changes of the winding temperature, bearing temperature and other key parts of the water pump motor, and send alarm information to the pump host and the control center in time when the temperature exceeds the set threshold. Two visible light image sensors collect images of equipment, pipes, environment, etc. in the pump room from different angles, realize various intelligent identification functions in combination with the edge AI module, and the edge AI module processes and analyzes the collected visible light images in real time, which can identify the readings of water quality detection instruments, the states of patrol cabinet indicator lights and handles, the opening and closing states of gate valves, pipeline leakage conditions, ground water conditions, wall damage conditions and door and window opening and closing states, etc. In addition, when the non-inductive collection intelligent eye detects that personnel enter the pump room, it will immediately trigger the personnel entry alarm function and automatically start personnel activity tracking recording to record the activity track of personnel in the pump room, providing strong evidence support for the safety management of the pump room.

[0030] Example two

[0031] Please refer to Figures 1-7On the basis of embodiment one, the data receiving module receives data information transmitted from the monitoring control cabinet, the non-inductive collection intelligent eye and the terahertz radar through the 5G network, the extension connection of the driving and sampling extension machine adopts a connector, communicates with the pump house host through CAN, the pump house host adopts a 3U case design, is built-in processing board card, has a video interface, connects a display screen as a man-machine interface, UI information displays the running data of the pump house, the terahertz radar adopts 120GHz frequency band FMCW radar, which is installed on the top of the pump house, the output end of the data receiving module is unidirectionally and electrically connected with the input end of the data processing module, the output end of the 5G communication module is bidirectionally and electrically connected with the input end of the data processing module, the output end of the remote control module is bidirectionally and electrically connected with the input end of the data processing module, the centralized control center further comprises an alarm module, the input end of the alarm module is unidirectionally and electrically connected with the output end of the data processing module, the output end of the driving and sampling extension machine is unidirectionally and electrically connected with the input end of the pump house host, and the output end of the pump house host is unidirectionally and electrically connected with the input end of the display screen.

[0032] Specifically: the data receiving module is responsible for receiving data information from various railway fire pump house monitoring and control cabinets through the 5G network, including equipment operating parameters such as pump pressure, flow, speed, motor current and voltage, environmental monitoring data such as pump house temperature, humidity, smoke concentration, harmful gas content, and data collected by the intelligent eye and terahertz radar, and classifying and storing the received data to establish a perfect data storage system. The driver sampling machine is used to realize the collection of switch quantity and analog quantity, and a relay control module is reserved for pump house equipment control. The driver sampling machine uses connector connection for wiring, supports hot plug, is easy to maintain and replace, and communicates with the pump house host through CAN. The main function of the driver sampling machine is to collect parameters and execute host instructions to realize collection isolation upload and command isolation execution, effectively protecting the safety of the host equipment. The pump house host is used to connect the display screen as the human-machine interface, and the UI information displays the running data of the pump house. The running parameters are over-limit, which can alarm and protect in time to prevent accidents and improve water supply safety. The local management function is used to realize parameter setting, alarm threshold setting, etc. It has data aggregation and uploading functions. Through integrated design technology, the intelligent monitoring and control system of the fire pump house master control host software is connected to realize 24-hour uninterrupted equipment monitoring. Since the terahertz radar is installed on the top of the pump house or the side wall, it is far away from the ground water, so it is not affected by silt compared with traditional immersion type liquid level transmitters, has a longer service life and more accurate measurement. It uses 120GHz frequency band FMCW radar, has small blind area, long distance, and range up to 10 meters, resolution up to millimeter level, small volume, light weight, easy to install, flexible interface, supports remote data analysis function, meets the requirements of pump house ground water level detection, and the fire inspection cabinet is a professional facility for monitoring and inspecting the fire water supply system pressure regulating cabinet. The fire inspection cabinet monitors the daily operation state of its pressure regulating system, and according to the collected pipe network pressure, fire pump flow and lift, stable pressure pump start-up frequency and time, etc. Parameters, the system operation is monitored and early warned.

[0033] The working principle of the utility model is: when the system runs, the slave machine of the driver collects the sensors in the fire pump house, the pressure, temperature, liquid level, smoke, gas leakage and other sensors and actuators, the data of water pump motor, valve and the like, the infrared thermal imaging, visible light image sensor and terahertz radar of the inductive collection wisdom eye also synchronously collect the equipment temperature distribution, image information, water accumulation condition and other data, the data is transmitted to the pump house host, after preliminary arrangement and analysis, on one hand, it is displayed on the local display screen, on the other hand, it is uploaded to the data receiving module of the centralized control center through the network, after data storage, it enters the data processing module, uses data mining and intelligent model analysis, such as according to the water pump historical parameter to predict the fault, according to the water level fluctuation to judge the water leakage, according to the image recognition to detect the appearance, pipeline, personnel condition of equipment, according to the water accumulation data to determine the water accumulation details, when abnormal, alarm information is generated and sent to the alarm module, the alarm module notifies the management personnel in multiple ways such as short message, email, pop-up window, the management personnel can remotely operate the pump house equipment through the remote terminal or the centralized control center, such as starting and stopping the water pump, opening and closing the valve, starting the ventilation equipment and the like.

[0034] The above disclosed preferred embodiments of the utility model are only used to help describe the utility model, the preferred embodiments do not describe all the details, and the utility model is not limited to the specific implementation mode, the description selects and specifically describes these embodiments, in order to better explain the principle and practical application of the utility model, so that the technical personnel of the technical field can well understand and utilize the utility model.

Claims

1. A railway fire pump house monitoring control system, comprising a centralized control center, a monitoring control cabinet, a non-inductive collection intelligent eye and a terahertz radar, characterized in that: The non-inductive collection intelligent eye includes an infrared thermal imaging sensor, a visible light image sensor, a movable gimbal camera and an edge AI module, an output end of the infrared thermal imaging sensor is unidirectionally and electrically connected with an input end of the edge AI module, an output end of the visible light image sensor is unidirectionally and electrically connected with the input end of the edge AI module, and an output end of the movable gimbal camera is unidirectionally and electrically connected with the input end of the edge AI module. The monitoring control cabinet includes a pump house host, a display screen, a driving and collecting submachine and a fire-fighting inspection cabinet. The centralized control center includes a data receiving module, a data processing module, a 5G communication module and a remote control module.

2. The railroad fire pump house monitoring control system of claim 1, wherein: The data receiving module receives data information transmitted from the monitoring control cabinet, the non-inductive collection intelligent eye and the terahertz radar through a 5G network.

3. The railroad fire pump house monitoring control system of claim 1, wherein: The driving and collecting submachine is connected by using a connector, and communicates with the pump house host through CAN.

4. The railroad fire pump house monitoring control system of claim 1, wherein: The pump house host is designed by using a 3U case, is internally provided with a processing board card, has a video interface, is connected with the display screen as a man-machine interface, and UI information displays running data of the pump house.

5. The railroad fire pump house monitoring control system of claim 1, wherein: The terahertz radar adopts a 120GHz frequency band FMCW radar, and is installed on the top of the pump house.

6. The railroad fire pump house monitoring control system of claim 1, wherein: An output end of the data receiving module is unidirectionally and electrically connected with an input end of the data processing module, an output end of the 5G communication module is bidirectionally and electrically connected with the input end of the data processing module, and an output end of the remote control module is bidirectionally and electrically connected with the input end of the data processing module.

7. The railroad fire pump house monitoring control system of claim 1, wherein: The centralized control center further includes an alarm module, an input end of the alarm module is unidirectionally and electrically connected with an output end of the data processing module.

8. The railroad fire pump house monitoring control system of claim 1, wherein: An output end of the driving and collecting submachine is unidirectionally and electrically connected with an input end of the pump house host, and an output end of the pump house host is unidirectionally and electrically connected with an input end of the display screen.

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