Plateau high-altitude railway tunnel fan intelligent monitoring device

Abstract

The utility model discloses an intelligent fan monitoring device for a plateau high-altitude railway tunnel. The intelligent fan monitoring device comprises intelligent fan monitoring equipment, a vibration sensor, a displacement sensor and an axle temperature sensor, the intelligent fan monitoring equipment comprises a processor module, a touch display screen, a communication module, a power supply module, an information acquisition module and a storage module, the processor module is respectively connected with the touch display screen, the communication module and the information acquisition module; the power supply module is respectively connected with the processor module, the touch display screen, the communication module and the information acquisition module; the axle temperature sensor, the vibration sensor and the displacement sensor are connected with the information acquisition module. The intelligent monitoring equipment can obtain related alarm information by analyzing and processing the shaft temperature, displacement and vibration information of the fan, and then accurately judges the current health state of the fan. Scientific rescue planning and task arrangement with clear targets can be helped to be carried out, so that the rescue efficiency and the success rate are improved.

Description

Technical Field

[0001] The utility model relates to the technical field of railway tunnel disaster prevention, evacuation and rescue, and more specifically, to an intelligent monitoring device for fans in high-altitude railway tunnels. Background Technique

[0002] At present, for railway tunnels with a length of more than 5 km, a combined mode of operation ventilation and disaster prevention ventilation is generally set in their evacuation channels, with fans (jet fans). For example, the total length of the Zongfa Tunnel on the Chengdu-Kunming Railway is 11.973 km, and 2 sets of 30KW jet fans are installed in the inclined shaft, and 1 set of 37KW jet fan is installed in the cross tunnel. For extra-long tunnels longer than 20 km, in addition to jet fans installed in the evacuation channels, jet fans are also installed at the entrances and exits of the tunnels, and high-power axial fans are installed at the tunnel rescue stations. For example, the total length of the Dangjinshan Tunnel on the Dunhuang-Golmud Line is 20.1 km. A total of 24 sets of 30KW jet fans are installed in the main tunnel, 4 sets of 30KW jet fans are installed in the parallel pilot tunnel, 9 sets of 30KW jet fans are installed in the No. 2 and No. 3 inclined shafts, and 2 sets of 200KW axial fans are installed. In addition to disaster prevention fans, high-gas tunnels are also equipped with operation ventilation fans. For example, the total length of the Jiyi Tunnel on the Mengxi-Huazhong Coal Transport Railway is 15.412 km. There are 24 sets of 30KW jet fans in the main tunnel, 4 sets of 30KW jet fans are installed in the No. 1 and No. 3 inclined shafts, and 4 sets of 132KW axial fans are installed in the No. 2 inclined shaft.

[0003] The disaster prevention fans in railway tunnels are set to deal with accidents such as fires. Therefore, the deployed fan equipment is generally not used and is put into evacuation and rescue use when an accident occurs. The "Measures for the Maintenance and Management of the Railway Tunnel Disaster Prevention, Evacuation and Rescue System" (No. 248

[2017] of the China Railway Corporation) clearly stipulates that the maintenance unit should inspect the state of the disaster prevention ventilation equipment every six months and establish a special inspection record ledger. Based on the characteristics of this operation and maintenance management, it is urgent to conduct intelligent monitoring on various types of fans in the tunnel to further improve the operation and maintenance management ability and ensure the safety of railway tunnel operation.

[0004] Generally, professional personnel are required to conduct on-site equipment inspections on fan equipment. Under such conditions, it is very likely that monitoring will be missed or delayed outside the inspection cycle or due to work negligence. The corresponding results will be inaccurate and unable to reflect the true health status of the tunnel ventilation equipment, resulting in a rescue plan that exceeds expectations, thereby increasing the possibility of rescue delays and accidents during the rescue process.

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

[0006] In view of this, the utility model provides an intelligent monitoring device for fans in high-altitude railway tunnels, which conducts online monitoring on the operation and maintenance status of fan equipment and provides functions such as remote inspection and intelligent diagnosis.

[0007] To achieve the above object, the utility model adopts the following technical solutions:

[0008] This embodiment provides an intelligent monitoring device for a high - altitude railway tunnel fan, including: a fan intelligent monitoring device, a vibration sensor, a displacement sensor and a shaft temperature sensor;

[0009] The fan intelligent monitoring device includes: a processor module, a touch display screen, a communication module, a power module, an information acquisition module and a storage module;

[0010] The processor module is respectively connected to the touch display screen, the communication module and the information acquisition module; the power module is respectively connected to the processor module, the touch display screen, the communication module and the information acquisition module; the shaft temperature sensor, the vibration sensor and the displacement sensor are connected to the information acquisition module.

[0011] Among them, the processor module uses an H616 chip for information processing.

[0012] The touch display screen uses a 7 - inch RGB_LCD display screen to display the fan operation status data.

[0013] The communication module communicates with third - party devices and has two interfaces, RJ45 and RS485.

[0014] The power module supplies power to the processor module, the touch display screen, the communication module and the signal acquisition module, and supports DC20.4~26.4V and AC187~253V power input.

[0015] The information acquisition module includes an AD7606 conversion module and an RS485 module;

[0016] 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.

[0017] The storage module uses an SD card to store historical data.

[0018] The vibration sensor installed on the fan casing includes: a horizontal vibration sensor and a vertical vibration sensor.

[0019] The displacement sensor is installed on the fan bracket, and the acquisition interface adopts the 4 - 20ma current mode.

[0020] The shaft temperature sensor is installed on the fan bearing and uses PT100, PT1000 or NTC resistor.

[0021] It can be seen from the above - mentioned technical solutions that compared with the prior art, the technical solutions of the utility model have the following beneficial effects:

[0022] By analyzing and processing information such as the shaft temperature, displacement, and vibration of the fan, the current health status of the fan is judged. The alarm information that can be judged includes acceleration amplitude alarm, shaft temperature alarm, support displacement alarm, sensor offline alarm, and fan abnormal condition alarm information (looseness, imbalance, misalignment, bearing damage, blade damage, vibration amplitude exceeding the limit). Based on this, it can help to carry out scientific and targeted rescue planning and task arrangement to improve the rescue efficiency and success rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0024] Figure 1 It is a schematic structural diagram of the fan intelligent monitoring device provided by the present invention.

[0025] Figure 2 It is a schematic structural diagram of the fan intelligent monitoring equipment provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0027] The embodiments of the present invention provide a fan intelligent monitoring device for high-altitude railway tunnels, as Figure 1 shown, including: a fan intelligent monitoring equipment, a vibration sensor, a displacement sensor, and a shaft temperature sensor;

[0028] As Figure 2 shown, the fan intelligent monitoring equipment includes: a processor module, a touch display screen, a communication module, a power supply module, an information acquisition module, and a storage module;

[0029] The processor module is respectively connected to the touch display screen, the communication module, and the information acquisition module; the power supply module is respectively connected to the processor module, the touch display screen, the communication module, and the information acquisition module; the shaft temperature sensor, the vibration sensor, and the displacement sensor are connected to the information acquisition module.

[0030] By analyzing and processing the shaft temperature, displacement, and vibration information of the fan, this intelligent monitoring device can obtain relevant warning information and then accurately judge the current health status of the fan. It can help with scientific and targeted rescue planning and task arrangements to improve rescue efficiency and success rate.

[0031] The following further details each part of the intelligent monitoring device:

[0032] The processor module uses the H616 chip to analyze, discriminate, give early warnings, and issue alarms about the operation and maintenance status of the fan based on the collected shaft temperature, displacement, and vibration information.

[0033] The touch display screen uses a 7-inch RGB_LCD display screen to display the operation status data and configuration parameters of the fan.

[0034] The communication module is used to communicate with third-party devices. It adopts two interface forms, RJ45 and RS485, and supports communication protocols such as ModbusRTU, Modbus TCP, and MQTT.

[0035] The power supply module supplies power to the processor module, touch display screen, communication module, and signal acquisition module, and supports power input of DC20.4~26.4V and AC187~253V.

[0036] The information acquisition module includes an AD7606 conversion module and a 485 module; the AD7606 conversion module is used to convert analog signals into digital signals and collect fan vibration and support displacement data information; the 485 module is used to collect fan operating temperature data information.

[0037] The storage module uses an SD card for local storage of historical data and supports the upper-layer platform to read the historical value data packet at one time.

[0038] In addition, vibration sensors are installed on the fan housing. Using acceleration sensors, they are used to collect the vibration amount of the fan in real time, including horizontal vibration sensors and vertical vibration sensors.

[0039] The displacement sensor is installed on the fan support and is used to measure the displacement and tilt degree of the support. The acquisition interface adopts the 4-20ma current method.

[0040] The shaft temperature sensor is installed on the fan bearing and uses PT100, PT1000, or NTC resistance to measure the operating temperature of the fan equipment.

[0041] In this embodiment, the intelligent monitoring device of the fan collects information such as the vibration, displacement, and temperature of the fan device in real time, and uses artificial intelligence technology - convolutional neural network to effectively analyze, process, and mine the data, realizing the real-time monitoring of the health status of the fan operation, and providing a network or 485 interface to transmit the data to the device that needs to collect the fan operation data.

[0042] The specific calculation process is as follows:

[0043] ① Convolution operation: Convolve the measured fan device data with a learnable convolution kernel. The output after passing the result of the convolution through the activation function forms the neurons of this layer, thus constituting the feature map of this layer, also known as the feature extraction layer. The input of each neuron is connected to the local receptive field of the previous layer and extracts the local features. Once the local features are extracted, their positional relationship with other features is determined.

[0044] ② Pooling operation: It divides the input signal into non-overlapping regions, and for each region, reduces the spatial resolution of the network through pooling (downsampling) operations. For example, max pooling selects the maximum value within the region, and average pooling calculates the average value within the region. This operation is used to eliminate the offset and distortion of the signal.

[0045] ③ Fully connected operation: After the input fan data undergoes multiple convolution kernel pooling operations, the output is multiple groups of signals. Through the fully connected operation, the multiple groups of signals are combined into a group of signals in sequence.

[0046] ④ Recognition operation: The above operation process is a feature learning operation used to construct a training model with better stability. Based on the above operations and according to business requirements (classification or regression problems), an additional layer of network is added for recognition operations.

[0047] The intelligent monitoring device of the fan processes the collected sensor data through the artificial intelligence technology algorithm to obtain the health status assessment of the current fan. The warning information that can be judged includes acceleration amplitude alarm, shaft temperature warning, support displacement warning, sensor offline warning, and fan abnormal condition alarm information (looseness, imbalance, misalignment, bearing damage, blade damage, vibration amplitude exceeding limit), and the results are uploaded to the third-party device in the form of communication. Combining other objective data in the tunnel can help with scientific and targeted rescue planning and task arrangement to improve rescue efficiency and success rate.

[0048] In this specification, each embodiment is described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for the relevant parts, reference can be made to the description in the method section.

[0049] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present utility model. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present utility model. Therefore, the present utility model will not be limited to the embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent monitoring device for a high - altitude railway tunnel fan, characterized in that, Including: Intelligent fan monitoring device, vibration sensor, displacement sensor and bearing temperature sensor; The intelligent fan monitoring device includes: processor module, touch display screen, communication module, power supply module, information acquisition module and storage module; The processor module is respectively connected to the touch display screen, communication module and information acquisition module; the power supply module is respectively connected to the processor module, touch display screen, communication module and information acquisition module; the bearing temperature sensor, vibration sensor and displacement sensor are connected to the information acquisition module.

2. The intelligent monitoring device for a high - altitude railway tunnel fan according to claim 1, wherein, The processor module uses an H616 chip.

3. The intelligent monitoring device for a high - altitude railway tunnel fan according to claim 1, wherein The touch display screen uses a 7-inch RGB_LCD display screen.

4. The intelligent monitoring device for a high - altitude railway tunnel fan according to claim 1, wherein, The communication module communicates with third-party devices and has two interfaces, RJ45 and RS485.

5. The intelligent monitoring device for a high - altitude railway tunnel fan according to claim 1, characterized in that, The power supply module supplies power to the processor module, touch display screen, communication module and signal acquisition module, and supports DC20.4 - 26.4V and AC187 - 253V power input.

6. The intelligent monitoring device for a high - altitude railway tunnel fan according to claim 1, wherein, The information acquisition module includes an AD7606 conversion module and an RS485 module; The AD7606 conversion module is connected to the vibration sensor and displacement sensor, and the RS485 module is connected to the bearing temperature sensor.

7. An intelligent monitoring device for a high-altitude railway tunnel fan according to claim 1, characterized in that, The storage module uses an SD card to store historical data.

8. An intelligent monitoring device for tunnel fans of plateau and high-altitude railways according to claim 1, characterized in that, The vibration sensor is installed on the fan casing and includes: horizontal vibration sensor and vertical vibration sensor.

9. The intelligent monitoring device for a high - altitude railway tunnel fan according to claim 1, characterized in that, The displacement sensor is installed on the fan bracket, and the acquisition interface uses a 4 - 20ma current mode.

10. The intelligent monitoring device for a high - altitude railway tunnel fan according to claim 1, wherein, The bearing temperature sensor is installed on the fan bearing and uses PT100, PT1000 or NTC resistor.

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