CN112449334A - Non-contact rail vehicle door controller fault information acquisition and management system and method - Google Patents

Non-contact rail vehicle door controller fault information acquisition and management system and method Download PDF

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Publication number
CN112449334A
CN112449334A CN202011392909.8A CN202011392909A CN112449334A CN 112449334 A CN112449334 A CN 112449334A CN 202011392909 A CN202011392909 A CN 202011392909A CN 112449334 A CN112449334 A CN 112449334A
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Prior art keywords
fault
fault data
background server
faults
door controller
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Inventor
陆驰宇
茅飞
周洲
许洪强
杨帆
於明
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Nanjing Kangni Electronic Technology Co ltd
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Nanjing Kangni Electronic Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/906Clustering; Classification
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

The invention discloses a non-contact rail vehicle door controller fault information acquisition and management system and a non-contact rail vehicle door controller fault information acquisition and management method, wherein the system comprises a background server, a mobile phone terminal and door controllers in all carriages of a rail train; the mobile phone terminal and each gate controller form a Bluetooth mesh network through Bluetooth communication; the mobile phone terminal collects fault data of each door controller through a Bluetooth mesh network and uploads the fault data to a background server; and the background server manages the fault data. The invention realizes a non-contact acquisition mode by using the Bluetooth mesh technology and realizes a fault information management mode by using the background server.

Description

Non-contact rail vehicle door controller fault information acquisition and management system and method
Technical Field
The invention belongs to the technical field of rail vehicle door controller fault information acquisition and management, and particularly relates to a non-contact rail vehicle door controller fault information acquisition and management system and a non-contact rail vehicle door controller fault information acquisition and management method.
Background
The existing fault information acquisition mode of the rail vehicle door controller is that once the rail vehicle door controller breaks down, a maintainer is required to carry a notebook computer, the cover plate is opened for each door in sequence, fault information of the door controller is downloaded through a maintenance port (usually a USB interface) on the door controller, the downloaded fault data is stored locally, an Excel form is exported and reported to a designer, and the designer analyzes the fault information in the form after receiving the fault data.
Because trouble door controller dispersion is in each door of each train, consequently current trouble information acquisition mode need consume a large amount of time and manpower, and is inefficient. Moreover, once more gate controllers have faults, the state information needing to be exported and reported also becomes more, the situation that the reported information is careless and careless can occur, and the efficiency of solving the faults is greatly influenced.
Meanwhile, no management method is available for managing the fault information of the rail vehicle door controller, and the collected fault information is not classified and sorted and is not filed and stored, so that the fault information with reference value is lost and omitted, and the fault analysis and solution are not facilitated. Therefore, it is an urgent problem to acquire and manage fault information in an effective manner.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a non-contact rail vehicle door controller fault information acquisition and management system and method, and solves the technical problem that the existing acquisition mode consumes a large amount of time and labor.
In order to solve the technical problem, the invention provides a non-contact rail vehicle door controller fault information acquisition and management system which is characterized by comprising a background server, a mobile phone terminal and door controllers in all carriages of a rail train;
the mobile phone terminal and each gate controller form a Bluetooth mesh network through Bluetooth communication;
the mobile phone terminal is used for acquiring fault data of each door controller through a Bluetooth mesh network and uploading the fault data to the background server;
and the background server is used for managing the fault data.
Further, the background server comprises a fault classification module, and the fault classification module is used for distinguishing and storing fault data according to fault categories to form a fault database.
Further, the background server further comprises a fault association module, wherein the fault association module is used for searching historical faults, fault occurrence reasons and solving measures related to fault data, summarizing the reasons and the solving measures to fault items corresponding to the reasons and the solving measures, and establishing an association network for the faults, the fault reasons and the solving measures.
Correspondingly, the invention also provides a non-contact rail vehicle door controller fault information acquisition and management method which is characterized in that,
the mobile phone terminal collects fault data of each door controller through a Bluetooth mesh network and uploads the fault data to a background server;
and the background server manages the fault data.
Further, the background server manages the fault data, including:
classifying according to items to which the fault data belong;
classifying according to the type and the importance degree of fault data;
classifying according to the characteristics of the fault data;
and distinguishing and storing the fault data according to fault types to form a fault database.
Further, the types of the fault data include: internal failures of the gatekeeper and functional failures of the gate.
Further, the importance of the fault data includes: major faults, minor faults and events.
Further, the characteristics of the fault data include: power supply type faults, motor drive type faults, communication network type faults, internal storage type faults and switch type faults.
Further, the background server manages the fault data, and further includes:
and searching historical faults, fault occurrence reasons and solving measures related to fault data, summarizing the reasons and the solving measures to fault items corresponding to the reasons and the solving measures, and establishing a correlation network for the faults, the fault reasons and the solving measures.
Compared with the prior art, the invention has the following beneficial effects: the non-contact type collection mode is realized through the application of the Bluetooth mesh technology, the door controller Bluetooth can be connected through a mobile phone when the station stands at any corner of a carriage by relying on the advantages of networking of the Bluetooth mesh technology, and fault data of all door controllers can be downloaded through the Bluetooth mesh network. The background server classifies the fault data by refining the fault characteristics to form a fault data expert knowledge base, and establishes a retrieval mechanism according to the refined fault characteristics, so that designers can conveniently and directly inquire the historical faults of the same category. And then on the one hand the designer can be at any local long-range download fault data and carry out the analysis, improves fault analysis's efficiency, and on the other hand cell-phone APP can rely on fault data expert knowledge base, gives preliminary solution to the maintenance personal.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
figure 2 is a gatekeeper mesh networking topology.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention has the following inventive concept: increase bluetooth module on current door controller, through the application of bluetooth mesh technique and bluetooth of mobile phones APP's development, realize all accessible bluetooth of mobile phones connection door controller bluetooth in the arbitrary corner in carriage, download the fault data of all door controllers simultaneously through bluetooth mesh network. And meanwhile, a background server is developed, the APP automatically transmits the downloaded fault data back to the background server according to the address of the door controller, the background server classifies the fault characteristics by refining the fault characteristics to form a fault database, and a retrieval mechanism is established according to the refined fault characteristics, so that designers can conveniently and directly inquire the historical faults of the same category.
The bluetooth mesh technology allows a large network to be created based on multiple devices, the network may include hundreds of bluetooth devices, these devices may transmit information to each other, and only one of the devices needs to be connected, so that all the devices in the network can be controlled.
The invention relates to a non-contact rail vehicle door controller fault information acquisition and management method, which specifically refers to the method shown in figure 1, and comprises the following steps:
and step S1, installing Bluetooth modules on door controllers in all carriages of the rail train, installing Bluetooth modules on the mobile phone terminal, and forming a Bluetooth mesh network by the mobile phone terminal and the door controllers.
Install bluetooth module on the gate controller in all carriages on the rail train, bluetooth module passes through UART serial ports and gate controller DSP communication, and DSP waits for the instruction that the bluetooth sent, carries out the receiving and dispatching of data. The gate controllers and the mobile phone terminals in all carriages of a train form a mesh network, a network topological graph is shown in fig. 2, each gate controller is one node, all the nodes are connected with each other and can transmit and receive information mutually, therefore, the mobile phone terminal is connected with any one of the node gate controllers, the information of all the nodes in the whole mesh network can be obtained through mutual transmission of the information between the nodes, and a non-contact acquisition mode is realized.
And step S2, the mobile phone terminal collects fault data of each door controller through the Bluetooth mesh network.
Maintainer logs on cell-phone terminal (cell-phone APP) back through special account number, gets into the function selection interface, can connect the gate controller bluetooth this moment, only need connect one of them arbitrary gate controller, just can be through mesh network connection on all gate controllers to clear, the convenient information of looking over all gate controllers on the APP interface, including current state information and historical information etc. when downloading the fault data, both can formulate the fault data of downloading one of them certain gate controller, also can download the fault data of all gate controllers by a key. And the mobile phone terminal downloads the fault data according to the address of the door controller.
And step S3, the mobile phone terminal uploads the fault data to the server.
In order to integrate fault data, a background server is built, and the mobile phone terminal APP can automatically upload the fault data to the server.
In step S4, the server manages the failure data.
And after receiving and storing the data, the server sorts and summarizes the fault data according to a set strategy. The method comprises the steps of firstly judging which project the current fault data belongs to, and facilitating specific analysis aiming at different projects and different configurations.
And then, diagnosing the type of the fault, classifying according to the internal fault and the functional fault of the door controller, and then sequentially classifying into a main fault, a secondary fault and an event according to the importance degree of the fault. The primary fault is a fault which may affect the operation safety of the train, the secondary fault is a fault which may affect the function of the door, and the event is a fault which does not affect the normal function of the door.
And then entering a fault characteristic subdivision process, wherein the fault elements are required to be identified firstly, and the faults can be divided into power supply faults, motor driving faults, communication network faults, internal storage faults and switch faults according to the elements. And distinguishing and storing the fault data according to fault types to form a fault database. And establishing a retrieval strategy according to the category for the designer to retrieve.
After searching the fault data, the designer analyzes the fault data, and meanwhile, the designer can search historical faults, fault occurrence reasons and solving measures related to the fault data through a correlation mechanism. After the designer obtains the fault reason, the reason and the solution need to be summarized under the fault item corresponding to the reason, then the server compares the fault information and the fault reason, and establishes a correlation network for the fault, the fault reason and the solution, so that the designer can easily inquire the historical fault record, the fault formation reason and the fault solution according to the fault name.
Correspondingly, the non-contact rail vehicle door controller fault information acquisition and management system comprises a background server, a mobile phone terminal and door controllers in all carriages of a rail train;
the mobile phone terminal and each gate controller form a Bluetooth mesh network through Bluetooth communication;
the mobile phone terminal is used for acquiring fault data of each door controller through a Bluetooth mesh network and uploading the fault data to the background server;
and the background server is used for managing the fault data.
Further, the background server comprises a fault classification module, and the fault classification module is used for distinguishing and storing fault data according to fault categories to form a fault database.
Further, the background server further comprises a fault association module, wherein the fault association module is used for searching historical faults, fault occurrence reasons and solving measures related to fault data, summarizing the reasons and the solving measures to fault items corresponding to the reasons and the solving measures, and establishing an association network for the faults, the fault reasons and the solving measures.
According to the fault information acquisition and management system, fault information is acquired through the mobile phone Bluetooth APP and uploaded to the background server, and fault information is managed, so that maintenance personnel can stand at any position of a carriage, through the application of the Bluetooth mesh network, a mobile phone terminal is connected with any fault door controller, fault data of all fault door controllers can be downloaded in a one-key mode, and a non-contact acquisition mode is achieved. Then, the mobile phone terminal automatically uploads the data to the background server for storage, classification and management, on one hand, the uploaded data are not missed or lost, the integrity and authenticity of fault information are guaranteed, meanwhile, the operation is convenient and fast, the efficiency is high, and a large amount of time and manpower are saved. On the other hand, thanks to the storage and management of the background server on the fault information, designers can quickly retrieve the same or similar historical faults from the fault database, compare, analyze and refer to the historical faults, so that the designers can quickly find out the direct cause of the faults and timely send fault maintenance instructions and solutions to enable maintenance personnel to timely deal with the problems. Through this kind of maintenance mode, will promote the efficiency that vehicle door controller field maintenance will be greatly, improve customer's satisfaction.
In addition, the designer can perform detailed analysis on the reason, the frequency of occurrence and the like of fault formation through a fault association network established by the background server to form an expert knowledge base of fault data, so that on one hand, the fault association network is convenient for rapidly reacting when a fault occurs, the mobile phone APP can provide a preliminary solution for maintenance personnel by relying on the expert knowledge base, the fault solving efficiency is improved, and on the other hand, the fault association network is helpful for fundamentally reducing the occurrence rate of the fault.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (9)

1. A non-contact rail vehicle door controller fault information acquisition and management system is characterized by comprising a background server, a mobile phone terminal and door controllers in all carriages of a rail train;
the mobile phone terminal and each gate controller form a Bluetooth mesh network through Bluetooth communication;
the mobile phone terminal is used for acquiring fault data of each door controller through a Bluetooth mesh network and uploading the fault data to the background server;
and the background server is used for managing the fault data.
2. The system for acquiring and managing the fault information of the non-contact type rail vehicle door controller as claimed in claim 1, wherein the background server comprises a fault classification module, and the fault classification module is used for distinguishing and storing fault data according to fault categories to form a fault database.
3. The system for collecting and managing fault information of door controllers of non-contact rail vehicles according to claim 1, wherein the background server further comprises a fault association module, and the fault association module is used for searching historical faults, fault occurrence reasons and solving measures related to fault data, summarizing the reasons and the solving measures under corresponding fault items, and establishing an association network for the faults, the fault reasons and the solving measures.
4. A non-contact rail vehicle door controller fault information acquisition and management method is characterized by comprising the following steps:
the mobile phone terminal collects fault data of each door controller through a Bluetooth mesh network and uploads the fault data to a background server;
and the background server manages the fault data.
5. The non-contact rail vehicle door controller fault information collection method as claimed in claim 4, wherein the background server manages fault data, and the method comprises the following steps:
classifying according to items to which the fault data belong;
classifying according to the type and the importance degree of fault data;
classifying according to the characteristics of the fault data;
and distinguishing and storing the fault data according to fault types to form a fault database.
6. The method for collecting and managing the fault information of the non-contact rail vehicle door controller according to claim 4, wherein the types of the fault data comprise: internal failures of the gatekeeper and functional failures of the gate.
7. The method as claimed in claim 4, wherein the importance of the fault data includes: major faults, minor faults and events.
8. The method for non-contact collection and management of rail vehicle door controller fault information as claimed in claim 4, wherein said fault data characteristics include: power supply type faults, motor drive type faults, communication network type faults, internal storage type faults and switch type faults.
9. The method for collecting and managing the fault information of the door controller of the non-contact rail vehicle as claimed in claim 4, wherein the background server manages the fault data, and further comprises:
and searching historical faults, fault occurrence reasons and solving measures related to fault data, summarizing the reasons and the solving measures to fault items corresponding to the reasons and the solving measures, and establishing a correlation network for the faults, the fault reasons and the solving measures.
CN202011392909.8A 2020-12-02 2020-12-02 Non-contact rail vehicle door controller fault information acquisition and management system and method Pending CN112449334A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103761845A (en) * 2013-11-27 2014-04-30 南京康尼机电股份有限公司 Railway vehicle door operation information wireless acquisition sending device and acquisition method
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CN104684786A (en) * 2012-10-04 2015-06-03 西门子公司 Operating system for operating functional units in a rail vehicle
CN104714534A (en) * 2013-12-12 2015-06-17 天津爱维数据系统集成科技有限公司 Automobile fault detection system based on cloud computing and smart phone technology
CN107021116A (en) * 2017-03-02 2017-08-08 西安交通大学 A kind of monitoring system of the track vehicle based on technology of Internet of things
CN108389282A (en) * 2018-01-31 2018-08-10 重庆交通职业学院 A kind of vehicle mounted failure self diagnosis early warning cloud system
KR20190003245A (en) * 2017-06-30 2019-01-09 (주)에스티와이드 Real time monitoring system for railway vehicles

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104684786A (en) * 2012-10-04 2015-06-03 西门子公司 Operating system for operating functional units in a rail vehicle
US20140372498A1 (en) * 2013-06-17 2014-12-18 International Electronic Machines Corporation Vehicle Group Monitoring
CN105431343A (en) * 2013-06-17 2016-03-23 国际电子机械公司 Vehicle group monitoring
CN103761845A (en) * 2013-11-27 2014-04-30 南京康尼机电股份有限公司 Railway vehicle door operation information wireless acquisition sending device and acquisition method
CN104714534A (en) * 2013-12-12 2015-06-17 天津爱维数据系统集成科技有限公司 Automobile fault detection system based on cloud computing and smart phone technology
CN107021116A (en) * 2017-03-02 2017-08-08 西安交通大学 A kind of monitoring system of the track vehicle based on technology of Internet of things
KR20190003245A (en) * 2017-06-30 2019-01-09 (주)에스티와이드 Real time monitoring system for railway vehicles
CN108389282A (en) * 2018-01-31 2018-08-10 重庆交通职业学院 A kind of vehicle mounted failure self diagnosis early warning cloud system

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