Plateau high-altitude railway tunnel fan intelligent monitoring system

Abstract

The utility model discloses an intelligent fan monitoring system for a plateau high-altitude railway tunnel. The intelligent fan monitoring system comprises a main controller, an intelligent fan monitoring device and a fan control box, the intelligent fan monitoring device comprises intelligent fan monitoring equipment, a vibration sensor, a displacement sensor and a shaft temperature sensor. The main controller is connected with a tunnel monitoring system main station; the fan intelligent monitoring equipment is installed on one side of a corresponding tunnel fan and connected with the vibration sensor, the displacement sensor and the shaft temperature sensor. The fan control box is connected with the fan intelligent monitoring equipment through a signal cable; and the fan control box is connected with the tunnel fan through a power line. The monitoring system can predict the overall health degree of the fan in real time under the support of various fan working condition data, and can help to carry out scientific rescue planning and task arrangement with clear targets by analyzing the data output by the fan intelligent monitoring device and combining with other objective data in a tunnel. The rescue efficiency and success rate are improved.

Description

Technical Field

[0001] The utility model relates to the technical field of intelligent monitoring of fans, and more specifically to an intelligent monitoring system for fans in plateau and high-altitude railway tunnels. Background Art

[0002] At present, railway tunnels with a length of more than 5 km generally have a combination of operational ventilation and disaster prevention ventilation in their evacuation passages. For example, the Zongfa Tunnel of the Chengdu-Kunming Railway, with a total length of 11.973 km, has two 30KW jet fans installed in the inclined shaft and one 37KW jet fan in the cross tunnel. Extra-long tunnels longer than 20 km, in addition to jet fans in the evacuation passages, are also equipped with jet fans at the tunnel entrances and exits, and high-power axial flow fans are installed at the tunnel rescue stations. For example, the Dangjinshan Tunnel on the Dunhuang-Golmud Railway is 20.1 km long and has a total of 24 30KW jet fans in the main tunnel, 4 30KW jet fans in the horizontal guide, 9 30KW jet fans in the No. 2 and No. 3 inclined shafts, and 2 200KW axial flow fans. In addition to disaster prevention fans, high-gas tunnels are also equipped with operational ventilation fans. For example, the Jiyi Tunnel of the Menghua Railway is 15.412 km long, with 24 30KW jet fans in the main tunnel, 4 30KW jet fans in the No. 1 and No. 3 inclined shafts, and 4 132KW axial fans in the No. 2 inclined shaft.

[0003] Disaster prevention fans within railway tunnels are installed to respond to incidents such as fires. Therefore, these fans are typically not in use, but are used for evacuation and rescue operations in the event of an incident. The "Regulations on the Maintenance and Management of Disaster Prevention, Evacuation, and Rescue Systems in Railway Tunnels" stipulate that maintenance units must inspect the status of disaster prevention ventilation equipment every six months and maintain a dedicated inspection log. Given these operational and maintenance management characteristics, there is an urgent need for intelligent monitoring of all types of fans within tunnels to further enhance operational and management capabilities and ensure safe operation in railway tunnels.

[0004] Normally, fan equipment requires on-site inspections by professionals. Under such conditions, it is very likely that untimely monitoring will be missed outside the inspection cycle or due to negligence. The corresponding results will be inaccurate and unable to reflect the true health status of the tunnel ventilation equipment, resulting in rescue plans that exceed expectations, thereby increasing the possibility of rescue delays and accidents during the rescue process.

[0005] Therefore, how to design an intelligent monitoring system for fans in high-altitude railway tunnels on the plateau is an urgent problem that needs to be solved by those skilled in the art. Utility Model Content

[0006] In light of this, this utility model provides an intelligent monitoring system for fans in high-altitude railway tunnels. This system facilitates scientific and targeted rescue planning and task scheduling, thereby improving rescue efficiency and success rates. The system uses a main controller and fan control box to control fan start / stop, integrating equipment monitoring and control functions.

[0007] In order to achieve the above purpose, the utility model adopts the following technical solutions:

[0008] The utility model provides an intelligent monitoring system for fans in high-altitude railway tunnels on the plateau, comprising: a main controller, an intelligent monitoring device for fans and a fan control box;

[0009] The wind turbine intelligent monitoring device includes: wind turbine intelligent monitoring equipment, vibration sensor, displacement sensor and shaft temperature sensor;

[0010] The main controller is connected to the tunnel monitoring system main station and is respectively connected to the wind turbine intelligent monitoring device and the wind turbine control box;

[0011] The fan intelligent monitoring device is installed on one side of the corresponding tunnel fan and is connected to the vibration sensor, displacement sensor and shaft temperature sensor;

[0012] The fan control box is connected to the fan intelligent monitoring device via a signal cable; the fan control box is connected to the tunnel fan via a power line.

[0013] Wherein, the main controller includes: PLC, intermediate relay group and first touch display screen;

[0014] The PLC includes: a network interface 1, a network interface 2, a digital output module and a digital input module; the intermediate relay group includes a plurality of peripheral relays;

[0015] The network interface 1 is connected to the tunnel monitoring system master station and the wind turbine intelligent monitoring equipment;

[0016] The network interface 2 is connected to the first touch display screen;

[0017] The digital input module is connected to the wind turbine intelligent monitoring device;

[0018] The digital output module is connected to the coil of the peripheral relay.

[0019] Furthermore, the wind turbine intelligent monitoring device includes: a processor module, a second touch display screen, a communication module, a power module, an information acquisition module and a storage module;

[0020] The processor module is connected to the second touch display screen, the communication module and the information acquisition module respectively; the power supply module is connected to the processor module, the second touch display screen, the communication module and the information acquisition module respectively.

[0021] Furthermore, the processor module uses an H616 chip to perform information processing;

[0022] The communication module communicates with third-party equipment and has two interfaces: RJ45 and RS485.

[0023] Furthermore, the power module supplies power to the processor module, touch screen display, communication module and signal acquisition module, and supports DC20.4~26.4V and AC187~253V power input;

[0024] The storage module uses an SD card to store historical data;

[0025] The touch screen uses a 7-inch RGB_LCD display screen to display the fan operating status data.

[0026] Furthermore, the information acquisition module includes an AD7606 conversion module and an RS485 module;

[0027] The AD7606 conversion module is connected to the vibration sensor and the displacement sensor, and the RS485 module is connected to the shaft temperature sensor.

[0028] Furthermore, the vibration sensor is installed on the fan casing and includes: a horizontal vibration sensor and a vertical vibration sensor.

[0029] Furthermore, the displacement sensor is installed on the fan bracket, and the acquisition interface adopts a 4-20ma current mode.

[0030] Furthermore, the shaft temperature sensor is installed on the fan bearing and adopts PT100, PT1000 or NTC resistor.

[0031] Furthermore, the fan control box has built-in voltage and current transformers, which are connected to the fan intelligent monitoring equipment.

[0032] It can be seen from the above technical solution that compared with the prior art, the technical solution of the utility model has the following beneficial effects:

[0033] This railway tunnel fan intelligent monitoring system uses intelligent monitoring equipment to monitor fan shaft temperature, displacement, vibration, power circuit current, voltage, and other information. Using a specific algorithm, it assesses the current health of the fan and can generate warnings for acceleration amplitude, shaft temperature, bracket displacement, sensor offline, and abnormal fan operating conditions. This system facilitates scientific, targeted rescue planning and task scheduling, improving rescue efficiency and success rates. The fan start / stop is controlled by the main controller and fan control box, integrating equipment monitoring and control functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0035] Figure 1 This is a network diagram of the intelligent monitoring system provided by the embodiment of the present utility model;

[0036] Figure 2 A schematic diagram of the main controller provided in an embodiment of the present utility model;

[0037] Figure 3 Schematic diagram of the intelligent wind turbine monitoring device provided by the embodiment of the utility model;

[0038] Figure 4 This is a schematic diagram of a fan control box provided in an embodiment of the present utility model. DETAILED DESCRIPTION

[0039] 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 embodiments described are only 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 making creative efforts are within the scope of protection of the present invention.

[0040] This embodiment provides an intelligent monitoring system for fans in high altitude railway tunnels. Figure 1 As shown, it includes: a main controller, a fan intelligent monitoring device and a fan control box; the fan intelligent monitoring device includes: a fan intelligent monitoring device, a vibration sensor, a displacement sensor and an axle temperature sensor;

[0041] The main controller is used to communicate with external devices, communicate with the wind turbine intelligent monitoring equipment and control the wind turbine; the main controller is connected to the tunnel monitoring system master station, connected via optical fiber, and adopts the standard Modbus TCP communication protocol to perform two-way data transmission with the tunnel monitoring system master station.

[0042] The main controller is connected to the fan control box via a control cable. The main controller is connected to the fan intelligent monitoring device via a shielded twisted pair cable, and adopts the standard Modbus TCP / Modbus RTU communication protocol to perform two-way data transmission with the fan intelligent monitoring device.

[0043] The intelligent fan monitoring device is used to collect various fan data, estimate the current fan health status, and determine whether the fan is working abnormally; the intelligent fan monitoring device is installed on one side of the corresponding tunnel fan and is connected to the vibration sensor, displacement sensor and shaft temperature sensor;

[0044] The fan control box is used to power the fan, execute commands from the fan's local controller, and control the fan's start and stop. The fan control box is connected to the fan intelligent monitoring device via a signal cable; the fan control box is connected to the tunnel fan via a power line.

[0045] The problem of dim light and poor ventilation inside railway tunnels, especially tunnels in plateau mountainous areas, and inconvenience in daily maintenance of fans inside tunnels is addressed.

[0046] The above-mentioned intelligent wind turbine monitoring system can not only receive the start / stop commands of the wind turbine issued by the station control center through network communication, but also start / stop the wind turbine locally through buttons distributed on site. At the same time, the system is a device that can perform real-time data collection and risk warning under the rules of regular inspection cycles. With the support of various wind turbine operating condition data, it can predict the overall health of the wind turbine in real time, including the bracket, body, and fastening structure. By analyzing the data output by the wind turbine intelligent monitoring equipment and combining it with other objective data in the tunnel, it can help to carry out scientific and targeted rescue planning and task arrangements to improve rescue efficiency and success rate.

[0047] The following is a further detailed description of each component of the intelligent monitoring system:

[0048] like Figure 2 As shown, the main controller includes: a PLC, an intermediate relay group and a first touch screen;

[0049] The PLC includes: a network interface 1, a network interface 2, a digital output module and a digital input module; the intermediate relay group includes a plurality of peripheral relays;

[0050] Network interface 1 connects the tunnel monitoring system master station and the wind turbine intelligent monitoring equipment;

[0051] The network interface 2 is connected to the first touch screen;

[0052] The digital input module is connected to the wind turbine intelligent monitoring device;

[0053] The digital output module is connected to the coil of the peripheral relay.

[0054] Network interface 1 is used to communicate with the tunnel monitoring system main station and the fan intelligent monitoring equipment to achieve two-way data transmission. Network interface 2 communicates with the first touch screen to realize the human-computer interaction function on the main controller side. The first touch screen displays the status of the fan, and at the same time, it can be operated on the first touch screen to realize on-site control of the start / stop of the fan. The digital output module of the PLC is connected to the coil of the peripheral relay, and the auxiliary contacts of the relay are connected to the fan control box. The PLC controls the peripheral relay through the digital output module, and the peripheral relay controls the fan control box to realize the on / off of the fan power circuit power supply, thereby realizing the start / stop of the fan. The fan control box feeds back the on / off status of the fan power circuit power supply to the digital input module of the PLC through the monitoring cable to realize the feedback of the fan running / stop status.

[0055] like Figure 3 As shown, the wind turbine intelligent monitoring device includes: a processor module, a second touch display screen, a communication module, a power module, an information acquisition module and a storage module;

[0056] The processor module is connected to the second touch display screen, the communication module and the information acquisition module respectively; the power supply module is connected to the processor module, the second touch display screen, the communication module and the information acquisition module respectively.

[0057] The processor module uses an H616 chip for information processing. The communication module communicates with third-party devices and features both RJ45 and RS485 interfaces. The power module provides power to the processor module, touchscreen display, communication module, and signal acquisition module, supporting DC20.4-26.4V and AC187-253V inputs. The storage module uses an SD card to store historical data, and the touchscreen display features a 7-inch RGB LCD to display fan operating status. The information acquisition module includes an AD7606 conversion module and an RS485 module. The AD7606 conversion module connects to the vibration sensor and displacement sensor, while the RS485 module connects to the shaft temperature sensor.

[0058] Vibration sensors are installed on the fan housing and include horizontal and vertical vibration sensors. A displacement sensor is installed on the fan bracket, with a 4-20 mA current acquisition interface. A shaft temperature sensor is installed on the fan bearing and uses a PT100, PT1000, or NTC resistor.

[0059] In this embodiment, the intelligent wind turbine monitoring equipment uses collected sensor data and a specific algorithm to assess the current health status of the wind turbine. The equipment can generate warnings for acceleration amplitude, shaft temperature, bracket displacement, sensor offline, and abnormal wind turbine operating conditions (looseness, imbalance, misalignment, bearing damage, blade damage, and excessive vibration amplitude). The results are then transmitted to the main controller via communication. Combined with other objective data from the tunnel, this data can facilitate scientific and targeted rescue planning and task scheduling, improving rescue efficiency and success rates.

[0060] The intelligent monitoring system uses intelligent monitoring equipment to collect real-time data on wind turbine vibration, temperature, displacement, operating current, voltage, and other data. The wind turbine intelligent monitoring equipment provides functions for temperature sensor calibration and alarm parameter setting; displacement sensor calibration and alarm parameter setting; vibration sensor type and related parameter setting; dynamic alarm threshold parameter setting, and alarm information for device offline status.

[0061] Intelligent wind turbine monitoring equipment communicates with the remote control platform, enabling remote access to real-time data, real-time status, historical data, fault alarms, and early warnings. Deploying the master device effectively reduces the processing power required by the remote control platform's hardware, lowering network bandwidth requirements and reducing the scale of the central platform's construction.

[0062] Intelligent wind turbine monitoring equipment collects various operational data. Using algorithms like FFT, it generates spectrum data, which is then evaluated by a neural network algorithm to estimate the current health status of the wind turbine. It also uses slow AD to collect data such as temperature and bracket displacement, integrating it to determine if any abnormalities are occurring in the wind turbine's operating environment or conditions. The data is then transmitted via the network or 485 to the device that needs to collect the data.

[0063] The main controller uploads the received data to the tunnel monitoring system master station in the form of communication, and at the same time receives the control signal from the tunnel monitoring system master station, and realizes the start / stop control of the fan together with the fan control box.

[0064] like Figure 4 As shown, the fan control box has built-in voltage and current transformers. In the figure, TV1 is the voltage transformer, and TA1, TA2 and TA3 are current transformers, which are connected to the fan intelligent monitoring equipment.

[0065] The working process of the intelligent monitoring system in this embodiment is as follows:

[0066] When used in conjunction with the main controller, intelligent wind turbine monitoring device, and wind turbine control box, the intelligent wind turbine monitoring device collects real-time data on wind turbine vibration, temperature, displacement, operating current, voltage, and other indicators. The acquired data is analyzed, identified, and displayed as an alarm on the secondary touch screen. The network interface module provides a standard protocol interface for the main controller to read the resulting information, which is then written to the tunnel monitoring system master station via the network interface.

[0067] When the main controller receives instructions from the tunnel monitoring system's main station, it controls the digital output module to drive the corresponding relays. The relay's auxiliary contacts then control the fan control box, thus achieving fan control. During this time, the digital input module collects information about the fan's operating status, such as on / off status and remote / local status, and simultaneously writes it to the tunnel monitoring system's main station.

[0068] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. References to the same or similar parts between the various embodiments are sufficient. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple. For relevant parts, refer to the method description.

[0069] The above description of the disclosed embodiments will enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent monitoring system for fans in high-altitude railway tunnels on the plateau, characterized in that: include: Main controller, fan intelligent monitoring device and fan control box; The wind turbine intelligent monitoring device includes: wind turbine intelligent monitoring equipment, vibration sensor, displacement sensor and shaft temperature sensor; The main controller is used to connect to the tunnel monitoring system main station, and is connected to the wind turbine intelligent monitoring device and the wind turbine control box respectively; The fan intelligent monitoring device is installed on one side of the corresponding tunnel fan and is connected to the vibration sensor, displacement sensor and shaft temperature sensor; The fan control box is connected to the fan intelligent monitoring device via a signal cable; the fan control box is connected to the tunnel fan via a power line.

2. The intelligent monitoring system for fans in high-altitude railway tunnels on plateaus according to claim 1 is characterized in that: The main controller includes: a PLC, an intermediate relay group and a first touch screen; The PLC includes: a first network interface, a second network interface, a digital output module and a digital input module; the intermediate relay group includes a plurality of peripheral relays; The first network interface is used to connect to the tunnel monitoring system master station and to the wind turbine intelligent monitoring device; The second network interface is connected to the first touch display screen; The digital input module is connected to the wind turbine intelligent monitoring device; The digital output module is connected to the coil of the peripheral relay.

3. The intelligent monitoring system for fans in high altitude railway tunnels on plateaus according to claim 1 is characterized in that: The wind turbine intelligent monitoring device includes: a processor module, a second touch display screen, a communication module, a power module, an information acquisition module and a storage module; The processor module is connected to the second touch display screen, the communication module and the information acquisition module respectively; the power supply module is connected to the processor module, the second touch display screen, the communication module and the information acquisition module respectively.

4. The intelligent monitoring system for fans in high-altitude railway tunnels on plateaus according to claim 3 is characterized in that: The processor module uses H616 chip to perform information processing; The communication module communicates with third-party equipment and has two interfaces: RJ45 and RS485.

5. The intelligent monitoring system for fans in high-altitude railway tunnels on plateaus according to claim 3 is characterized in that: The power module supplies power to the processor module, touch screen display, communication module and signal acquisition module, and supports DC20.4~26.4V and AC187~253V power input; The storage module uses an SD card to store historical data; The touch screen uses a 7-inch RGB_LCD display screen to display the fan operating status data.

6. The intelligent monitoring system for fans in high altitude railway tunnels on plateaus according to claim 3 is characterized in that: The information acquisition module includes an AD7606 conversion module and an RS485 module; The AD7606 conversion module is connected to the vibration sensor and the displacement sensor, and the RS485 module is connected to the shaft temperature sensor.

7. The intelligent monitoring system for fans in high-altitude railway tunnels on plateaus according to claim 1 is characterized in that: The vibration sensor is installed on the fan casing and includes a horizontal vibration sensor and a vertical vibration sensor.

8. The intelligent monitoring system for fans in high-altitude railway tunnels on plateaus according to claim 1 is characterized in that: The displacement sensor is installed on the fan bracket, and the acquisition interface adopts 4-20ma current mode.

9. The intelligent monitoring system for fans in high altitude railway tunnels on plateaus according to claim 1 is characterized in that: The shaft temperature sensor is installed on the fan bearing and adopts PT100, PT1000 or NTC resistor.

10. The intelligent monitoring system for fans in high altitude railway tunnels on plateaus according to claim 1, characterized in that: The fan control box has built-in voltage and current transformers, which are connected to the fan intelligent monitoring equipment.

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