CN116022191B - Method and system for detecting temperature of trackside shaft and motor - Google Patents

Method and system for detecting temperature of trackside shaft and motor Download PDF

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CN116022191B
CN116022191B CN202310062648.0A CN202310062648A CN116022191B CN 116022191 B CN116022191 B CN 116022191B CN 202310062648 A CN202310062648 A CN 202310062648A CN 116022191 B CN116022191 B CN 116022191B
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temperature
train
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trackside
motor
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CN116022191A (en
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王志云
张浩博
熊超
李恺
孙学术
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Guangzhou Yunda Intelligent Technology Co ltd
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Abstract

The invention discloses a method and a system for detecting the temperature of a rail side shaft and the temperature of a motor, which are used for monitoring the temperature of a bearing end cover, the temperature of a gear box end cover and the temperature of the motor in real time, so as to realize automatic real-time temperature monitoring and fault diagnosis of a monitored part; the investment of maintenance personnel is greatly reduced, the maintenance efficiency and the detection accuracy are improved, and the method has important significance for ensuring the driving safety of subway trains and improving the operation economic benefit; meanwhile, the ambient temperature is monitored in real time when the vehicle passes through in the temperature detection process, and the temperature monitoring model provides reference temperature for the temperature value of each part of the actual train, so that the final temperature analysis result is more accurate and reliable, and the possibility of false alarm and missing alarm of the system is reduced.

Description

Method and system for detecting temperature of trackside shaft and motor
Technical Field
The invention relates to the technical field of train safety monitoring, in particular to a method and a system for detecting the temperature of a rail side shaft and the temperature of a motor.
Background
With the development of the crossing type of rail transit, the running external environment of the subway train becomes complex and diversified, meanwhile, the maintenance quantity and the technical content of the subway train are continuously improved, and the maintenance workload of the subway train is increasingly increased. The operation and maintenance work of the vehicle needs to meet the requirements of safety, availability, reliability and the like, and also needs to consider economic and supporting indexes, so that higher requirements are put on the efficiency, quality and technology of operation and maintenance. With the increase of the service life of the existing train, faults of power components of the train frequently occur, and maintenance of the vehicle still adopts traditional modes such as planned overhaul and the like, and daily inspection and maintenance of the vehicle are focused. This type of manual inspection-based planned inspection has obvious drawbacks and safety hazards. The manual inspection is easy to cause missed inspection and false inspection, and seriously threatens the running safety of the subway train. Therefore, a system capable of monitoring the temperature states of the bearing, the gear box and the motor in real time and reporting faults under the condition of not affecting normal driving is urgently needed, and the driving safety of a train is guaranteed, so that an intelligent, standardized, digitized and informationized temperature detection system is rapidly popularized, the technical level of the temperature detection system is integrally improved, and the system becomes the necessity of history and technical development.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the traditional rail side shaft temperature and motor temperature detection mainly comprises manual inspection, has obvious defects and potential safety hazards, is easy to miss inspection and misplacement inspection, and seriously threatens the running safety of a subway train; the invention aims to provide a method and a system for detecting the temperature of a rail side shaft and the temperature of a motor, which are used for monitoring the temperature of a bearing end cover, the temperature of a gear box end cover and the temperature of the motor in real time, so as to realize automatic real-time temperature monitoring and fault diagnosis of a monitored part; the investment of maintenance personnel is greatly reduced, the maintenance efficiency and the detection accuracy are improved, and the method has important significance for ensuring the running safety of subway trains and improving the operation economic benefit.
The invention is realized by the following technical scheme:
the scheme provides a method for detecting the temperature of a trackside shaft and the temperature of a motor, which comprises the following steps:
collecting temperature detection basic data, wherein the basic data comprises: ambient temperature data, train information data, and train bottom equipment temperature data;
preprocessing the temperature detection basic data;
and inputting the preprocessed temperature detection basic data into a temperature monitoring model to obtain the real-time trackside shaft temperature and the motor temperature.
The working principle of the scheme is as follows: the traditional rail side shaft temperature and motor temperature detection mainly comprises manual inspection, has obvious defects and potential safety hazards, is easy to miss inspection and misplacement inspection, and seriously threatens the running safety of a subway train; the invention aims to provide a method for detecting the temperature of a rail side shaft and the temperature of a motor, which is used for monitoring the temperature of a bearing end cover, the temperature of a gear box end cover and the temperature of the motor in real time, so as to realize automatic real-time temperature monitoring and fault diagnosis of a monitored part; the investment of maintenance personnel is greatly reduced, the maintenance efficiency and the detection accuracy are improved, and the method has important significance for ensuring the running safety of subway trains and improving the operation economic benefit. Meanwhile, the ambient temperature is monitored in real time when the vehicle passes through in the temperature detection process, and the temperature monitoring model provides reference temperature for the temperature value of each part of the actual train, so that the final temperature analysis result is more accurate and reliable, and the possibility of false alarm and missing alarm of the system is reduced.
The further optimization scheme is that the method further comprises fault judgment and grading early warning of the real-time rail side shaft temperature and the motor temperature output by the temperature monitoring model.
The further optimization scheme is that the acquisition method of the temperature detection basic data comprises the following steps:
acquiring an incoming signal;
the coming train signal is used as a trigger signal to start to collect train information data and judge whether the train information is matched; and starting to collect the environmental temperature data and the temperature data of the bottom equipment of the train under the condition of matching the train information.
In a further optimized scheme, the preprocessing comprises the following steps:
and synchronously aligning the environmental temperature data with the temperature data of the bottom equipment of the train, so that the environmental temperature data at the same moment and the temperature data of the bottom equipment of the train correspond to each other.
The further optimization scheme is that the method for acquiring the coming signal comprises the following steps:
and taking each incoming magnetic steel or outgoing magnetic steel of the train as a trigger signal, and generating an incoming signal when the generation times of the trigger signal exceeds a threshold value within preset time.
The utility model also provides a trackside shaft temperature and motor temperature detecting system for realize trackside shaft temperature and motor temperature detecting method of above-mentioned scheme, include:
the acquisition module is used for acquiring temperature detection basic data, and the basic data comprises: ambient temperature data, train information data, and train bottom equipment temperature data;
the preprocessing module is used for preprocessing the temperature detection basic data;
and the real-time detection module is used for inputting the preprocessed temperature detection basic data into the temperature monitoring model to obtain the real-time trackside shaft temperature and the motor temperature.
The further optimization scheme is that the acquisition module comprises trackside equipment and indoor equipment;
the trackside apparatus includes: an environmental temperature monitoring device, a train information monitoring device and a train component photon detection device; the train information monitoring equipment is used for acquiring an incoming signal, starting to acquire train information data by taking the incoming signal as a trigger signal and judging whether train information is matched; the rail edge equipment comprises an axle temperature photon probe, a vehicle bottom part photon probe, a wheel sensor, a protective box, magnetic steel, a rail clamping device, a vehicle number detection ring temperature box and other equipment.
Triggering an environmental temperature monitoring device to start collecting environmental temperature data under the condition of train information matching, and triggering a train component photon detection device to start collecting the temperatures of a train axle box, wheels, a motor and a gear box;
the indoor equipment comprises a rail side control box and a detection host; the rail side control box is used for receiving data acquired by the rail side equipment and sending the data to the detection host in real time;
the detection host is used for obtaining real-time trackside shaft temperature and motor temperature based on temperature detection basic data.
In a further optimized scheme, the train information monitoring equipment comprises an active magnetic steel sensor and an incoming signal generator,
when the train moves forward, the wheels press the active magnetic steel sensor to generate a trigger signal, and when the generation times of the trigger signal exceeds a threshold value in preset time, the incoming signal generator generates an incoming signal.
When a train moves forward, wheels are pressed by two continuous magnetic steel sensors arranged on the inner side of a track, and each magnetic steel sensor generates a primary trigger signal; generating an incoming signal according to the trigger signal, transmitting the incoming signal to a track side control box through a cable, and transmitting the incoming signal to indoor data analysis processing equipment by the track side control box to inform starting of incoming detection; the detection scheme of the magnetic steel sensor of the double-coming vehicle also effectively reduces the condition of missing detection of the coming vehicle. The magnetic steel sensor adopts active magnetic steel, the active magnetic steel can be suitable for the low-speed driving condition that the train speed is lower than 5 km and the signal is weaker and is difficult to accurately detect, and the serious omission problem caused by vehicle loss can be avoided. When the wheel is close to the active magnetic steel, the active magnetic steel is triggered to output a high-level pulse signal, complex analog-to-digital signal conversion is not needed, a digital signal can be directly output, the design complexity is greatly simplified, and the application reliability of the magnetic steel sensor is improved.
After the system obtains clear incoming signals, the train information monitoring equipment enters a train receiving state, when wheels are pressed by a train number to trigger a magnetic steel sensor, a train number camera triggers photographing, a high-definition image is uploaded to train number acquisition software to be analyzed, the acquired train number information is extracted, and train passing state information acquisition is completed. Under the actual running condition of the subway vehicle, standard passing information, vehicle position information, vehicle number information and image information are accurately identified in real time, tracking information is provided for a vehicle management information system, the requirement of identifying the vehicle number by other subsystems in the train on-line safety monitoring system is met, and each subsystem can track, count and analyze detection data according to the vehicle number information. In addition, in the working process of the system, the system can not cause interference to various equipment installed on the subway vehicle and the ground, such as a subway line signal system, a wireless vehicle-mounted system, a PIS system and the like, so that the normal operation of the train is ensured.
When the train triggers the magnetic steel of coming train, the probe box protection door at the bottom of the train is opened according to the coming train signal, and the train passes through the side shaft temperature of the train bottom rail and the photon probe of the vehicle bottom part, the temperature of the axle box of the train and the temperature of the wheels, the motor and the gear box parts can be continuously detected, the temperature is converted into circuit analog quantity, the circuit analog quantity is transmitted to the side control box through the signal cable, the side control box outputs a temperature sampling value through AD sampling, and finally the temperature sampling value is uploaded to the detection host computer, so that the temperature of the bearings, the gear box and the motor of each train is monitored, and the fault diagnosis and the grading alarm are carried out through analysis and processing.
The multi-element photon probe used in the scheme has the advantages of large adaptation speed range (0 to 360Km/h adaptation), non-contact detection, high reliability, low failure rate and the like of the common photon probe, and more prominently adopts an infrared photon device with multiple sensitive elements and a matched circuit, and the range of a detection target of one multi-element probe is equivalent to 4 to 8 common photon probes, so that the number and the volume of parts of rail edge equipment are greatly reduced, and the multi-element photon probe can be installed on an integral ballast bed. The technical problems that the common single sensitive unit probe has large volume and more parts and cannot be installed on an integral road bed with smaller space size are solved.
The track side equipment is installed at the track side, the track side equipment can be installed within the safety limit range of the train, no additional manual intervention is needed for normal running of the train, and when the train passes through a system detection area, the system can automatically complete a related detection function.
The vehicle bottom part temperature detection based on the multi-element photon probe has the advantages of the common photon probe, has a large detection range, can replace a plurality of common photon probes, can greatly reduce the deployment quantity of rail edge probe equipment, is more suitable for complex train running environments, and has the advantages of high integration of signal conditioning circuit design, simplified system design complexity and improved system reliability;
the further optimization scheme is that the system also comprises monitoring center software for carrying out real-time monitoring on the temperature of the rail side shaft and the temperature of the motor, carrying out waveform display, real-time display of passing of the train, self-checking of the system, matching of the train number and temperature calibration on each temperature measuring point of the train.
The further optimization scheme is that the monitoring center software outputs a train maintenance plan according to the temperature fault maintenance library model and the maintenance regulations, and the maintenance work order is issued under the condition of checking and approval.
The detection host adopts the high-performance industrial personal computer as an information processing platform, and the high-speed data processing capability and huge information storage capability ensure that the detection station system can process dynamic information such as wheelbase, speed, train number, axle temperature, magnetic head, hot target gate sensor and the like of a high-speed running train in real time, thereby laying a foundation for more accurate temperature measurement, accurate prediction and improvement of hot axle redemption rate.
The car number detection equipment based on the image recognition technology can effectively acquire high-definition car number pictures on the side surfaces of various car types by adopting the area array camera in combination with the light supplementing lamp, the car number detection equipment can adopt a single-point triggering and continuous shooting mode, the camera shooting angle and the light supplementing lamp can be independently adjusted, and the equipment can be suitable for more train bottom part temperature detection application occasions.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the method and the system for detecting the temperature of the trackside shaft and the temperature of the motor, provided by the invention, the temperature of the bearing end cover, the temperature of the gear box end cover and the temperature of the motor are monitored in real time, so that the automatic real-time temperature monitoring and fault diagnosis of the monitored parts are realized; the investment of maintenance personnel is greatly reduced, the maintenance efficiency and the detection accuracy are improved, and the method has important significance for ensuring the running safety of subway trains and improving the operation economic benefit. Meanwhile, the ambient temperature is monitored in real time when the vehicle passes through in the temperature detection process, and the temperature monitoring model provides reference temperature for the temperature value of each part of the actual train, so that the final temperature analysis result is more accurate and reliable, and the possibility of false alarm and missing alarm of the system is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are needed in the examples will be briefly described below, it being understood that the following drawings only illustrate some examples of the present invention and therefore should not be considered as limiting the scope, and that other related drawings may be obtained from these drawings without inventive effort for a person skilled in the art. In the drawings:
FIG. 1 is a schematic flow chart of a method for detecting the temperature of a trackside shaft and the temperature of a motor;
FIG. 2 is a schematic flow chart of the system for detecting the temperature of the rail by-pass shaft and the temperature of the motor in embodiment 2;
fig. 3 is a schematic diagram of a temperature detection system for a rail-side shaft and a motor according to embodiment 2.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present invention and the descriptions thereof are for illustrating the present invention only and are not to be construed as limiting the present invention.
Example 1
The present embodiment provides a method for detecting a temperature of a trackside shaft and a temperature of a motor, as shown in fig. 1, including:
collecting temperature detection basic data, wherein the basic data comprises: ambient temperature data, train information data, and train bottom equipment temperature data;
preprocessing the temperature detection basic data;
and inputting the preprocessed temperature detection basic data into a temperature monitoring model to obtain the real-time trackside shaft temperature and the motor temperature.
The method also comprises fault judgment and grading early warning of the real-time rail side shaft temperature and the motor temperature output by the temperature monitoring model.
The acquisition method of the temperature detection basic data comprises the following steps:
acquiring an incoming signal;
the coming train signal is used as a trigger signal to start to collect train information data and judge whether the train information is matched; and starting to collect the environmental temperature data and the temperature data of the bottom equipment of the train under the condition of matching the train information.
The pretreatment comprises the following steps:
and synchronously aligning the environmental temperature data with the temperature data of the bottom equipment of the train, so that the environmental temperature data at the same moment and the temperature data of the bottom equipment of the train correspond to each other.
The method for acquiring the coming signal comprises the following steps:
and taking each incoming magnetic steel or outgoing magnetic steel of the train as a trigger signal, and generating an incoming signal when the generation times of the trigger signal exceeds a threshold value within preset time.
Example 2
The embodiment provides a rail side shaft temperature and motor temperature detection system, which is used for realizing the rail side shaft temperature and motor temperature detection method in the previous embodiment, and comprises the following steps:
the acquisition module is used for acquiring temperature detection basic data, and the basic data comprises: ambient temperature data, train information data, and train bottom equipment temperature data;
the preprocessing module is used for preprocessing the temperature detection basic data;
and the real-time detection module is used for inputting the preprocessed temperature detection basic data into the temperature monitoring model to obtain the real-time trackside shaft temperature and the motor temperature.
As shown in fig. 3, the acquisition module comprises a trackside device (trackside device) and an indoor device (detection station device);
the trackside apparatus includes: an environmental temperature monitoring device, a train information monitoring device and a train component photon detection device; the train information monitoring equipment is used for acquiring an incoming signal, starting to acquire train information data by taking the incoming signal as a trigger signal and judging whether train information is matched;
triggering an environmental temperature monitoring device to start collecting environmental temperature data under the condition of train information matching, and triggering a train component photon detection device to start collecting the temperatures of a train axle box, wheels, a motor and a gear box;
the indoor equipment comprises a rail side control box and a detection host; the rail side control box is used for receiving data acquired by the rail side equipment and sending the data to the detection host in real time;
the detection host is used for obtaining real-time trackside shaft temperature and motor temperature based on temperature detection basic data.
The train information monitoring equipment comprises an active magnetic steel sensor and an incoming signal generator,
when the train moves forward, the wheels press the active magnetic steel sensor to generate a trigger signal, and when the generation times of the trigger signal exceeds a threshold value in preset time, the incoming signal generator generates an incoming signal.
As shown in fig. 2, the system acquires the coming magnetic steel trigger to determine whether the train enters the detection area, so that the system enters the passing detection state. The magnetic steel is deployed at the forefront end of the coming train direction and keeps a certain distance with other detection equipment, so that each detection equipment is in a normal train receiving state when a train reaches a detection area, the rail clamping device is adopted to fix the train magnetic steel on the inner side of a steel rail, and meanwhile, the requirement of the train limit is met.
After the system enters a car receiving state, the car number identification equipment is set to be in a hard triggering mode, and a car number triggering magnetic steel sensor provides a car passing triggering signal; the mutual position of car number magnet steel and image acquisition camera, light filling lamp are confirmed according to the car number position of different motorcycle types, when guaranteeing that the magnet steel triggers, and the visual field scope that the camera was shot can be complete cover car side car number position, and the light filling lamp can provide illumination in evening or other dark conditions simultaneously for car number identification equipment covers more application condition.
After the car number is photographed, the image data can be automatically transmitted to an indoor car number industrial personal computer far away from the car number through the optical fiber transceiver. The car number industrial personal computer is provided with car number analysis software, can analyze and process car number pictures in real time, give accurate car number information, and transmit the accurate car number information to the detection station host computer to inform the system of the car type and car number information of the coming car. The car number industrial personal computer is installed by adopting a standard cabinet, adopts a high-performance X86 architecture processor, and is provided with at least 2 gigabit Ethernet ports, wherein 1 path of the processor is used for receiving car number camera data, and the other 1 path of the processor is connected with a detection host computer to realize real-time uploading of the car number data.
The environmental temperature monitoring equipment is a ring incubator, and the ring incubator is arranged at a sunshade ventilation position, so that the real environmental temperature is ensured to be obtained, and the temperature error caused by the environment is reduced. The ring incubator is usually a shutter box structure, and can effectively ventilate and prevent rain. The built-in PT100 platinum resistance temperature sensor has the advantages of high acquisition precision, high reliability, strong anti-interference performance, strong shock resistance and the like.
The temperature current signal output by the ring temperature box is transmitted to an indoor rail side control box through a signal cable, the rail side control box can perform zero point correction, signal amplification, filtering and other treatments on the signal, the treated signal is transmitted to an AD acquisition card of a detection station host computer, the AD acquisition card converts analog quantity into converted digital quantity, and finally the detection station host computer acquires ring temperature data monitored in real time.
The rail side control box is mainly used for conditioning signals of various sensors when a train passes through the control box and controlling the working state of rail side equipment according to train passing detection logic; the rail side control box comprises four conditioning circuit boards, namely a magnetic head signal processing board, a temperature signal conditioning board, an inner probe shaft temperature signal conditioning board and an outer probe shaft temperature signal conditioning board, wherein the magnetic head signal processing board can convert a wheel trigger pulse signal into an AD sampling card input pulse signal of a main machine of the detection station, and other temperature conditioning boards can convert temperature analog quantity into digital quantity; the system also comprises a gate motor, a thermal target control board and a modulation motor control board, which are used for respectively controlling the opening and closing of the protection gate of the multi-element probe box and the forward and reverse rotation control of the direct current motor;
the detection host machine completes the functions of receiving an incoming signal, calibrating temperature, calculating temperature, predicting hotbox, analyzing system self-checking state display data, configuring the system, remotely communicating and the like; the detection station host consists of an industrial personal computer, an AD acquisition card and a digital IO card, and realizes the functions of rail edge equipment control, data acquisition, data processing, data communication and the like; the high-speed data processing capability and the huge information storage capability ensure that the detection station host can process dynamic information such as wheelbase, speed, train number, axle temperature, magnetic head, hot target gate sensor and the like of a high-speed running train in real time, and lay a foundation for more accurate temperature measurement, accurate forecast and improvement of hot axle redemption rate.
The control box of the rail side equipment can collect output signals of the photon probe and signals of other sensors according to the coming signals and transmit the signals to the data analysis equipment of the detection station.
And (3) carrying out intelligent recognition and processing on the output waveform according to the acquired signals and the vehicle type, calculating the temperature of the component, recognizing the high-temperature fault component, and carrying out intelligent judgment on the thermal fault.
The system also comprises monitoring center software, and is used for monitoring the temperature of the rail side shaft and the temperature of the motor in real time, displaying waveforms of all temperature measuring points of the train, displaying the passing real time, performing system self-checking, matching the train number and calibrating the temperature. The monitoring center software adopts a micro-service distributed architecture, and can log in and access on a monitoring center computer of a train section in a Web mode; the software is combined with a vehicle model to intelligently identify and process the output waveform, calculate the temperature of the component, identify the high-temperature fault component and intelligently judge the thermal fault.
The system management function of the monitoring center software comprises the contents of equipment monitoring state, user management, parameter setting and the like, and the running states of hardware equipment such as equipment monitoring state page display, detection stations, rail edge equipment and the like and all software modules; the user management page enables a system administrator to manage all users in the module, including the functions of adding and modifying the users; the parameter setting page allows the administrator to set the alarm threshold for each monitoring component.
The monitoring center software system gathers and displays the over-inspection and not-inspection conditions of the train in each day, displays the comprehensive operation condition of the system and the temperature operation state of each sub-component of the train, and performs classified inquiry, statistics and display on the temperature real-time alarm and historical alarm data so as to comprehensively reflect the detection condition of the system and the operation state of equipment.
And the monitoring center software outputs a train maintenance plan according to the temperature fault maintenance library model and the maintenance regulations, and finishes maintenance work order delivery under the condition of checking and approval.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (6)

1. The method for detecting the temperature of the trackside shaft and the temperature of the motor is characterized by being realized based on a trackside shaft temperature and motor temperature detection system, and the system comprises the following steps:
the acquisition module is used for acquiring temperature detection basic data, and the basic data comprises: ambient temperature data, train information data, and train bottom equipment temperature data;
the preprocessing module is used for preprocessing the temperature detection basic data;
the real-time detection module is used for inputting the preprocessed temperature detection basic data into the temperature monitoring model to obtain real-time trackside shaft temperature and motor temperature;
the acquisition module comprises trackside equipment and indoor equipment;
the trackside apparatus includes: an environmental temperature monitoring device, a train information monitoring device and a train component photon detection device; the train information monitoring equipment is used for acquiring an incoming signal, starting to acquire train information data by taking the incoming signal as a trigger signal and judging whether train information is matched;
triggering an environmental temperature monitoring device to start collecting environmental temperature data under the condition of train information matching, and triggering a train component photon detection device to start collecting the temperatures of a train axle box, wheels, a motor and a gear box;
the indoor equipment comprises a rail side control box and a detection host; the rail side control box is used for receiving data acquired by the rail side equipment and sending the data to the detection host in real time;
the detection host is used for obtaining real-time trackside shaft temperature and motor temperature based on temperature detection basic data;
the train information monitoring equipment comprises an active magnetic steel sensor and an incoming signal generator,
when a train moves forward, the wheels press the active magnetic steel sensor to generate a primary trigger signal, and when the generation times of the trigger signal exceeds a threshold value in preset time, the incoming signal generator generates an incoming signal;
the monitoring center software is used for monitoring the temperature of the rail side shaft and the temperature of the motor in real time, displaying waveforms of all temperature measuring points of the train, displaying the passing real time, performing system self-checking, matching the train number and calibrating the temperature;
the method comprises the steps of:
collecting temperature detection basic data, wherein the basic data comprises: ambient temperature data, train information data, and train bottom equipment temperature data;
preprocessing the temperature detection basic data;
and inputting the preprocessed temperature detection basic data into a temperature monitoring model to obtain the real-time trackside shaft temperature and the motor temperature.
2. The method for detecting the temperature of the trackside shaft and the temperature of the motor according to claim 1, further comprising fault judgment and grading early warning of the real-time trackside shaft temperature and the temperature of the motor output by the temperature monitoring model.
3. The method for detecting the temperature of a trackside shaft and the temperature of a motor according to claim 1, wherein the method for acquiring basic data for detecting the temperature comprises the following steps:
acquiring an incoming signal;
the coming train signal is used as a trigger signal to start to collect train information data and judge whether the train information is matched; and starting to collect the environmental temperature data and the temperature data of the bottom equipment of the train under the condition of matching the train information.
4. The method for detecting the temperature of a trackside shaft and the temperature of a motor according to claim 1, wherein the preprocessing includes the steps of:
and synchronously aligning the environmental temperature data with the temperature data of the bottom equipment of the train, so that the environmental temperature data at the same moment and the temperature data of the bottom equipment of the train correspond to each other.
5. The method for detecting the temperature of a trackside shaft and the temperature of a motor according to claim 3, wherein the method for acquiring the coming signal comprises the following steps:
and taking each incoming magnetic steel or outgoing magnetic steel of the train as a trigger signal, and generating an incoming signal when the generation times of the trigger signal exceeds a threshold value within preset time.
6. The method for detecting the temperature of a trackside shaft and the temperature of a motor according to claim 1, wherein the monitoring center software outputs a train maintenance plan according to a temperature fault maintenance library model and maintenance regulations, and the maintenance work order is issued under the condition of checking approval.
CN202310062648.0A 2023-01-17 2023-01-17 Method and system for detecting temperature of trackside shaft and motor Active CN116022191B (en)

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