CN216670563U - Point switch fault early warning system - Google Patents

Point switch fault early warning system Download PDF

Info

Publication number
CN216670563U
CN216670563U CN202121676299.4U CN202121676299U CN216670563U CN 216670563 U CN216670563 U CN 216670563U CN 202121676299 U CN202121676299 U CN 202121676299U CN 216670563 U CN216670563 U CN 216670563U
Authority
CN
China
Prior art keywords
module
layer
data
sensor
switch machine
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202121676299.4U
Other languages
Chinese (zh)
Inventor
刘婧
蒋锐
唐敏辉
何颋
何超瑜
周照明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ningbo Skysoft Tech Co ltd
Original Assignee
Ningbo Skysoft Tech Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ningbo Skysoft Tech Co ltd filed Critical Ningbo Skysoft Tech Co ltd
Priority to CN202121676299.4U priority Critical patent/CN216670563U/en
Application granted granted Critical
Publication of CN216670563U publication Critical patent/CN216670563U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Train Traffic Observation, Control, And Security (AREA)

Abstract

The utility model provides a point switch fault early warning system, comprising: the system comprises a data platform layer, an expert system layer, a data transmission layer and a perception layer; the sensing layer is connected with the data transmission layer, wherein the sensing layer is used for acquiring turnout state information, and the data transmission layer is connected with the data platform layer through TPC/IP; the data platform layer is connected with the expert system layer; the data transmission layer transmits the turnout state information by adopting a switch machine gap monitoring system; the data platform layer comprises: the system comprises a data communication module, a user management module, a data storage and processing module, an analysis and statistics module, a remote control module, a personal transaction module, an SQL database module and a decision and early warning module; the utility model can automatically collect data to improve working efficiency, can automatically record various parameters of the switch machine in operation, and can collect more and more data than manual collection mode and save more time.

Description

Point switch fault early warning system
Technical Field
The utility model belongs to the field of fault detection, and particularly relates to a point switch fault early warning system.
Background
The switch machine is an important basic device in the railway station interlocking system and is also an important device in the turnout switching system. Along with the rapid development of urban rail transit, the running speed of a train is continuously improved, the load is increased, the density is increased, and the bearing pressure requirement of turnouts is also continuously improved. These changes have also led to the development of switch switching system technology. But the close inspection of the turnout still adopts the old method of manually and periodically inspecting, judging and adjusting the gap between the detection surface of the inspection column and the gap of the indication rod by visual inspection. How to automatically dynamically monitor the sealing strength of the turnout and timely master the gap change information of the gap is an important subject for ensuring the railway transportation safety. The change of gap size of the gap is shown by the switch machine, the change of the joint intensity of the turnout is reflected, the gap state of the gap shown by two sides of the switch machine inspection column is monitored in real time, the joint intensity of the turnout can be mastered, the rail transit operation efficiency can be improved by early warning in time, and the switch machine plays an important role in the safe operation of the turnout and the conversion equipment.
At present, although various intelligent detection methods for indicating gaps exist in the market, the defects that a detection sensing head is easy to wear and is not visual generally exist. In addition, for electro-hydraulic switch equipment, several important inherent characteristics are important for daily maintenance, for example, the hydraulic system of the electro-hydraulic switch machine cannot work normally due to oil shortage of an oil tank, the pressure of an oil cylinder can represent the change of turnout resistance, the maintenance period of the electro-hydraulic switch machine can be determined according to the conversion frequency, and the conversion time can reflect the efficiency of the switch machine conversion system. At present, signal maintainers can only go to manual testing on site, which is troublesome, time-consuming and labor-consuming, and increases the personal casualty risk on the signal maintainers. The railway turnout conversion equipment is used as important railway signal equipment in train operation, becomes one of main focuses of railway operation safety, and is an indispensable component for ensuring the safe operation of trains. However, the health decline of the railway switch conversion equipment often becomes a safety hazard causing accidents, and more planned and targeted maintenance and repair work needs to be carried out. At present, the monitoring means of the turnout switching equipment mainly depends on the operation power and current data curves of the turnout switch in a signal centralized monitoring system and the state parameters of a gap value, a gap image, oil pressure, oil level, temperature and humidity and the like in gap monitoring. The mode depends on manual experience, and is difficult to meet the complex working environment requirement of turnout switching equipment and the railway operation maintenance requirement of quickly positioning and repairing the fault. Therefore, a point switch fault early warning system is needed to collect various data for analysis and achieve fault diagnosis and early warning in advance.
SUMMERY OF THE UTILITY MODEL
In order to solve the technical problems, the utility model provides a point switch fault early warning system which improves the personnel safety and timely discovers equipment abnormity through remote early warning.
In order to achieve the technical purpose, the technical scheme of the utility model is as follows:
a switch machine fault early warning system comprising: the system comprises a data platform layer, an expert system layer, a data transmission layer and a perception layer; the sensing layer is connected with the data transmission layer, wherein the sensing layer is used for acquiring turnout state information, and the data transmission layer is connected with the data platform layer through TPC/IP; the data platform layer is connected with the expert system layer; the data transmission layer transmits the turnout state information by adopting a switch machine gap monitoring system; the data platform layer comprises: the system comprises a data communication module, a user management module, a data storage and processing module, an analysis and statistics module, a remote control module, a personal transaction module, an SQL database module and a decision and early warning module.
Preferably, the sensing layer comprises: the device comprises a camera, a displacement sensor, an oil pressure sensor, an oil level sensor, a vibration sensor, a temperature and humidity sensor, a power sensor, a torque sensor and a current sensor.
Further, the camera, the displacement sensor, the temperature and humidity sensor, the power sensor, the current sensor, the vibration sensor, the oil pressure sensor and the oil level sensor are all arranged in the switch machine; the torque sensor is arranged outside the switch machine.
Preferably, the data platform layer is implemented by a cloud server.
Preferably, the data transmission layer transmits the turnout state information by adopting a power carrier, a CAN bus, ADSL, wireless transmission, NB-IOT and an optical fiber.
Preferably, the data platform layer analyzes the acquired turnout state information through a C/S module, a B/S module and a database module.
Preferably, the expert system layer includes: the system comprises a knowledge base module, a database module, a knowledge acquisition mechanism module, a man-machine interaction interface module, an inference machine module and an interpretation mechanism module.
Further, the human-computer interaction interface module is connected with the knowledge acquisition mechanism module; the knowledge acquisition mechanism module is connected with the knowledge base module, the knowledge base module is connected with the inference engine module, the inference engine module is connected with the database module, and the database module is connected with the interpretation mechanism module; the interpretation mechanism module is connected with the human-computer interaction interface module.
Further illustratively, the human-computer interface module includes: an expert module and a user module.
Compared with the prior art, the utility model has the following beneficial effects:
1. the utility model can carry out remote early warning, thereby improving the safety of personnel, automatically patrolling turnout equipment in all weather through the system and realizing the early warning in time for troubleshooting of potential safety hazards. The time of the signal maintainer for daily inspection is reduced, especially the adverse factors of outdoor work in severe weather are avoided, and the personal casualty risk of the signal maintainer for the operation on the road is reduced.
2. The utility model discovers equipment abnormity in time through remote early warning, automatically analyzes the change trend of the gap value and other operating parameters of the switch machine, collects the oil pressure change curve when the switch machine is pulled, can truly and effectively reflect the state of the switch machine, and provides technical means and scientific basis for realizing the state repair of the switch machine. Meanwhile, the operation rate of the equipment is greatly improved, and the operation quality and the operation safety and stability of the equipment are improved.
3. The utility model can automatically collect data to improve working efficiency, can automatically record various parameters of the switch machine in operation, and can collect more and more data than manual collection mode and save more time. The daily inspection time can be obviously improved.
4. The utility model is convenient to integrate into the whole railway management system through network management, and the maintenance work of the point switch can be arranged in a targeted manner in each work area through the utility model, thereby saving a lot of management cost and meaningless consumption. Meanwhile, the convenience and effectiveness of the management of the switch machine monitoring and early warning system are improved, the system is favorably integrated into the whole railway dispatching system, and the railway operation efficiency is improved.
Drawings
FIG. 1 is a block diagram of a switch machine fault warning system according to the present invention;
fig. 2 is a diagram of an expert system of a switch machine fault early warning system according to the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments. In the following description, characteristic details such as specific configurations and components are provided only to help the embodiments of the present invention be fully understood. Thus, it will be apparent to those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the utility model. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
With reference to fig. 1-2, the present invention provides a switch machine failure early warning system, comprising: the system comprises a data platform layer, an expert system layer, a data transmission layer and a perception layer; the sensing layer is used for acquiring turnout state information, the sensing layer is connected with the data transmission layer, and the data transmission layer is connected with the data platform layer through TPC/IP; the data platform layer is connected with the expert system layer; and the data transmission layer transmits the turnout state information by adopting a switch machine gap monitoring system.
The sensing layer is used as a front-end turnout state information sensing unit and comprises a camera, a displacement sensor of a display rod, a conversion force sensor, a close contact force sensor, a current sensor, a voltage sensor, a temperature and humidity sensor, an oil pressure sensor, an oil level sensor, a vibration sensor, a power sensor and a torsion sensor, and can directly or indirectly realize notch video image monitoring, conversion force monitoring, conversion current monitoring, temperature and humidity monitoring, oil pressure and oil level monitoring, vibration condition monitoring and the like. All sensors are applied near outdoor turnout equipment, and due to the fact that the working environment is severe, electromagnetic interference is serious, meanwhile, the sensors cannot influence the operation and normal driving of the equipment to be detected, and the safety and the reliability of the sensors need to be improved.
Further, a hardware watchdog is arranged in the sensing layer, so that the maintainability of the system is improved, the fault-tolerant processing is increased, and the crash and the runaway are prevented.
Further, the camera, the displacement sensor, the temperature and humidity sensor, the power sensor, the current sensor, the vibration sensor, the oil pressure sensor and the oil level sensor are all arranged in the switch machine; the torque sensor is arranged outside the switch machine. All sensors are selected according to industrial or military standards.
Further, the sensor installed in the switch machine is reliably installed by adopting binding, pipe winding and other modes, and the camera is reliably installed by adopting an integrated suspension type stainless steel bracket and a locknut and threaded fastening glue, so that the normal action of the switch machine cannot be influenced by loosening or falling off of the sensor. The sensor installed outside the switch machine is fixedly installed by a stainless steel support, keeps a safe distance with a rail, and is protected by installing a protective cover, electrical grounding and the like.
Further, since the surrounding electromagnetic environment is very complex, in order to prevent electromagnetic interference, a built-in isolated power module and a common mode filtering technology are adopted to protect each sensor, so as to effectively reduce the electromagnetic interference.
Further, the technology of configuring a lightning protection module, an overvoltage and short-circuit protector, an isolation transformer, a choke coil and the like is adopted to protect the operation safety of the sensor; meanwhile, the non-contact installation is adopted to ensure that the main body function of the point switch is not influenced once the sensor fails. The sensor and the acquisition equipment can not be damaged, and the working reliability of the system is ensured.
Further, the camera adopts a miniature camera, and the displacement sensor is a rod displacement sensor.
The data transmission layer includes: switch information acquisition unit and wireless communication unit. The acquisition unit provides analog quantity, digital quantity collection and multiple industrial communication bus interfaces, communicates with each sensor of perception layer, acquires the corresponding state parameter of switch, carries out two-way communication through communication unit and cloud platform or special terminal, and the transmission mode is as follows:
1. the data communication and power supply among the sensors, the collection extension set, the communication converter, the indoor monitoring host, the cloud platform server and the data center are realized by adopting the technologies of power carrier, CAN bus, ADSL, wireless transmission (4G/5G), NB-IOT, optical fiber transmission and the like.
2. The high-strength aluminum alloy integral manufacturing technology, the silicon rubber seal, the coaxial cable seal joint and the like are adopted to ensure the integral electromagnetic compatibility protection of the collection extension and the communication converter, and meanwhile, the three-proofing grade reaches IP54 grade and IP67 grade respectively.
3. The acquisition unit adopts the singlechip technique, carries on ARM9 and the processor of dual-core video processing engine, possesses stronger local throughput, alleviates communication bandwidth pressure when guaranteeing data accuracy, as shown in the figure: functions such as identification, video compression, time-frequency calculation, automatic triggering, protocol conversion, state self-checking and the like can realize flexible configuration and compatible expansion of monitoring items;
4. the communication unit is compatible with various communication modes, and when the communication unit is communicated with the cloud platform, 4G/5G or NB-IoT is selected according to the data volume, so that the system availability is improved while the communication link is optimal.
The data platform layer comprises: the system comprises a data communication module, a user management module, a data storage and processing module, an analysis and statistics module, a remote control module, a personal transaction module, an SQL database module and a decision and early warning module; the data platform layer can realize the functions of data real-time transmission, data display, storage, statistics, analysis, remote communication, communication state monitoring, safety protection, decision pre-warning and the like.
Further, the data platform layer is implemented by a cloud server.
Further, the data platform layer analyzes the collected turnout state information through the C/S module, the B/S module and the database module.
An expert system layer: the turnout state data is acquired through a data platform layer, and the functions of data analysis, curve generation, alarm early warning, fault diagnosis, trend prediction, probability analysis, maintenance suggestion and the like are realized by combining the technologies of an expert knowledge base, machine learning and the like.
Further illustratively, the expert system layer includes: the system comprises a knowledge base module, a database module, a knowledge acquisition mechanism module, a human-computer interaction interface module, an inference machine module and an interpretation mechanism module, wherein the human-computer interaction interface module is connected with the knowledge acquisition mechanism module; the knowledge acquisition mechanism module is connected with the knowledge base module, the knowledge base module is connected with the inference engine module, the inference engine module is connected with the database module, and the database module is connected with the interpretation mechanism module; the interpretation mechanism module is connected with the human-computer interaction interface module, wherein the human-computer interaction interface module comprises: an expert module and a user module.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the utility model has been described in detail with reference to the foregoing illustrative embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the utility model; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. A switch machine fault early warning system, comprising: the system comprises a data platform layer, an expert system layer, a data transmission layer and a perception layer; the sensing layer is connected with the data transmission layer, wherein the sensing layer is used for acquiring turnout state information, and the data transmission layer is connected with the data platform layer through TPC/IP; the data platform layer is connected with the expert system layer; the data transmission layer transmits the turnout state information by adopting a switch machine gap monitoring system; the data platform layer comprises: the system comprises a data communication module, a user management module, a data storage and processing module, an analysis and statistics module, a remote control module, a personal transaction module, an SQL database module and a decision and early warning module.
2. A switch machine malfunction early warning system as recited in claim 1, wherein the sensing layer comprises: the device comprises a camera, a displacement sensor, an oil pressure sensor, an oil level sensor, a vibration sensor, a temperature and humidity sensor, a power sensor, a torque sensor and a current sensor.
3. The switch machine fault pre-warning system of claim 2, wherein the camera, the displacement sensor, the temperature and humidity sensor, the power sensor, the current sensor, the vibration sensor, the oil pressure sensor and the oil level sensor are all arranged inside a switch machine; the torque sensor is arranged outside the switch machine.
4. A switch machine failure early warning system as recited in claim 1, wherein the data platform layer is implemented by a cloud server.
5. The switch machine fault pre-warning system of claim 1, wherein the data transmission layer uses power line carrier, CAN bus, ADSL, wireless transmission, NB-IOT, optical fiber to transmit the switch status information.
6. The switch machine fault pre-warning system of claim 1, wherein the data platform layer analyzes the collected turnout state information through a C/S module, a B/S module and a database module.
7. A switch machine fault early warning system as recited in claim 1, wherein the expert system layer comprises: the system comprises a knowledge base module, a database module, a knowledge acquisition mechanism module, a man-machine interaction interface module, an inference machine module and an interpretation mechanism module.
8. A switch machine fault pre-warning system as recited in claim 7, wherein the human-machine interface module is connected to the knowledge acquisition mechanism module; the knowledge acquisition mechanism module is connected with the knowledge base module, the knowledge base module is connected with the inference engine module, the inference engine module is connected with the database module, and the database module is connected with the interpretation mechanism module; the interpretation mechanism module is connected with the human-computer interaction interface module.
9. A switch machine fault early warning system as recited in claim 8, wherein the human machine interface module comprises: an expert module and a user module.
CN202121676299.4U 2021-07-22 2021-07-22 Point switch fault early warning system Active CN216670563U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202121676299.4U CN216670563U (en) 2021-07-22 2021-07-22 Point switch fault early warning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202121676299.4U CN216670563U (en) 2021-07-22 2021-07-22 Point switch fault early warning system

Publications (1)

Publication Number Publication Date
CN216670563U true CN216670563U (en) 2022-06-03

Family

ID=81758089

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202121676299.4U Active CN216670563U (en) 2021-07-22 2021-07-22 Point switch fault early warning system

Country Status (1)

Country Link
CN (1) CN216670563U (en)

Similar Documents

Publication Publication Date Title
CN105564468B (en) A kind of railway freight-car driving safety monitoring system and method
CN201828817U (en) Bow net operation status on-line monitoring device
CN107390099A (en) A kind of EMUs high voltage equipment insulation state on_line monitoring system
CN204280939U (en) A kind of elevator operational monitoring forewarn system
CN204334834U (en) The anti-outer broken visual control device of overhead transmission line
CN210072406U (en) Acquisition device suitable for intelligent diagnosis of turnout conversion equipment
CN111562096A (en) Health state real-time online monitoring system of escalator
CN104932487A (en) Subway vehicle remote diagnosis system
CN102545382A (en) Online monitoring system of transformer device of intelligent transformer substation
CN112327729A (en) Underground cable monitoring system
CN202783255U (en) Pantograph state real time monitoring and alarming system for electric locomotive
CN113641138A (en) Point switch fault early warning system
CN211765582U (en) Turnout switch point tightness detection system based on image detection technology
CN102943790A (en) Intelligent hydraulic cylinder system
CN112485751A (en) Electric power overhaul live working information acquisition and comprehensive early warning device and method
CN201796290U (en) Common fault emergency treatment device for electric locomotive
CN216670563U (en) Point switch fault early warning system
CN113155504A (en) Intelligent testing system for point switch for rail transit
CN203078553U (en) Shaft temperature monitoring system of high-speed train
CN202471869U (en) Online monitoring system for performance of catenary lightning arrester
CN201999012U (en) Monitoring device of electrohydraulic switch machine
CN205498962U (en) Switch breach intelligent monitoring system
CN113643517A (en) Intelligent early warning system about goat
CN205959380U (en) Multi -functional liquid crystal of boats and ships intelligence is reported to police and is extended unit
CN215185493U (en) Electric power overhauls live working and synthesizes early warning device

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant