CN111026094B - Fault diagnosis and remote maintenance method and system for platform door system - Google Patents
Fault diagnosis and remote maintenance method and system for platform door system Download PDFInfo
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- CN111026094B CN111026094B CN201911391860.1A CN201911391860A CN111026094B CN 111026094 B CN111026094 B CN 111026094B CN 201911391860 A CN201911391860 A CN 201911391860A CN 111026094 B CN111026094 B CN 111026094B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
- G05B23/0248—Causal models, e.g. fault tree; digraphs; qualitative physics
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0264—Control of logging system, e.g. decision on which data to store; time-stamping measurements
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0267—Fault communication, e.g. human machine interface [HMI]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
- G05B23/0278—Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
Abstract
The invention provides a fault diagnosis and remote maintenance method and system for a platform door system, which comprises the following steps: periodically acquiring and storing the operation data of each station in the platform door system at a period t; periodically acquiring stored operational data for each station in the platform door system at a period T; the time of the period T at least comprises the time of two periods T; the method comprises the steps of obtaining data with state change after the operation data of each station obtained in a period T is subjected to deduplication; sorting the data into a point table; according to the preset fault type and the corresponding fault code, carrying out fault coding on the data in each period in the point table, and storing the data subjected to the fault coding; carrying out fault diagnosis on each fault subjected to coding; and the diagnosis result is remotely sent to a maintenance terminal of a maintenance worker, and the maintenance worker performs fault maintenance according to the diagnosis result. The invention can achieve unmanned inspection, improve the fault diagnosis efficiency and reduce the maintenance cost.
Description
Technical Field
The present invention relates to a fault diagnosis and remote maintenance method for a platform door system, and more particularly, to a method for transmitting operation data of a platform door to a diagnosis server through a local area network, performing fault diagnosis by the diagnosis server, and transmitting a diagnosis result to a field maintenance worker through a remote maintenance system.
Background
With the rapid development of the subway platform door industry, platform door systems are widely applied, and in order to ensure the normal operation of the platform door systems, the platform doors are usually provided with professional maintenance teams with large scales to take charge of the daily field maintenance work such as routing inspection, fault handling, software and hardware updating of the platform door systems and the like. The maintenance mode is huge in cost and slow in effect; the 'rush to the scene' mode after the fault occurs lacks the timeliness and is not economical at the same time.
Disclosure of Invention
The invention provides a fault diagnosis and remote maintenance method of a platform door system, aiming at the problems of low maintenance efficiency, high cost and lack of timeliness of the current platform door system.
The invention adopts the following technical scheme:
a method for fault diagnosis and remote maintenance of a platform door system,
periodically acquiring and storing the operation data of each station in the platform door system at a period t;
periodically acquiring stored operational data for each station in the platform door system at a period T; the time of the period T at least comprises the time of two periods T;
the method comprises the steps of obtaining data with state change after the operation data of each station obtained in a period T is subjected to deduplication, wherein the data with the state change comprises at least one data change period;
after the data with the state change is sorted in a list mode, the data is disassembled into corresponding periodicity, and the data is sorted into binary point location data to form a point table;
according to the preset fault type and the corresponding fault code, carrying out fault coding on the data in each period in the point table, and storing the data subjected to the fault coding;
carrying out fault diagnosis on each fault subjected to coding;
and the diagnosis result is remotely sent to a maintenance terminal of a maintenance worker, and the maintenance worker performs fault maintenance according to the diagnosis result.
After the data in each period in the point table is fault-coded, the station with fault of the platform door system is identified by color in the monitoring interface displaying all-line stations.
And recording data of the fault after fault diagnosis by taking the site and the fault category corresponding to the fault as indexes, storing the data record in a database form, and storing the content of the database in a historical database at set intervals.
The fault diagnosing each encoded fault comprises:
establishing a fault tree model of a platform door system, wherein the fault tree model comprises a top event, a middle event and a bottom event;
when a platform door system has a fault, inquiring all bottom events causing the fault through a fault tree model, sequencing all the bottom events from high to low according to the weight, and sending the bottom events to maintenance personnel;
the maintainer searches the fault reason and maintains according to the received sorted bottom event list;
and after the maintenance personnel finish the processing, updating the weight of the bottom event according to the fault reason corresponding to the adopted fault.
The weight of the bottom event is as follows:
and when the fault corresponding to the top event occurs N times, the probability that the occurrence frequency N of the fault reason corresponding to each bottom event occurs in the N faults.
And after receiving the sorted bottom event list, maintenance personnel search according to the sorting and fault reasons corresponding to the bottom events until finding the bottom event causing the top event, and maintain according to the fault maintenance scheme corresponding to the bottom event.
A system for applying the method, comprising: a platform door system, a monitoring system and a fault diagnosis system; the platform door system and the fault diagnosis system are in communication connection with the monitor;
the platform door system comprises a door machine system, a door body system and a power supply system;
the monitoring system includes:
the control system comprises a local control box, a door control unit and a central control panel which are in communication connection with the platform door system, wherein the central control panel is in communication connection with the local control box, the door control unit and the local control panel and is used for periodically acquiring the operation data of each station in the platform door system at a period t;
the monitoring system comprises a memory which is in communication connection with the central control panel and is used for periodically acquiring and storing the operation data of each station in the platform door system at a period t; the monitoring system further comprises a monitoring system connected with the memory;
the fault diagnosis system includes:
a diagnostic server communicatively coupled to the memory; the diagnosis server is used for periodically acquiring the operation data of each station in the platform door system stored in the memory at a period T, acquiring data with state change after the operation data of each station acquired at the period T is subjected to deduplication, and after the data with the state change is sorted in a list manner, disassembling the data into corresponding period number and sorting the data into binary point location data to form a point table; according to the preset fault type and the corresponding fault code, carrying out fault coding on the data in each period in the point table, and carrying out fault diagnosis on each coded fault;
and the database server is connected with the diagnosis server and used for storing the fault after fault diagnosis, the diagnosis result and the fault maintenance scheme, recording the fault after fault diagnosis by taking the site and the fault category corresponding to the fault as indexes, storing the data record in a database form, and storing the content of the database in a historical database at set time intervals.
The invention has the beneficial effects that:
the invention adds a fault diagnosis system and a remote maintenance system under the condition of not influencing the normal operation of the platform door system. The operation data in the storage of the platform door system is sent to a diagnosis server through a local area network, the diagnosis server carries out fault diagnosis on the fault data, a fault maintenance plan is finally generated, and then the maintenance plan is sent to field maintenance personnel through a wireless network technology, so that the field maintenance personnel can carry out fault maintenance at the first time. Unmanned inspection is achieved, the fault diagnosis efficiency is improved, and the maintenance cost is reduced.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Fig. 2 is a software configuration diagram of the failure diagnosis system.
Fig. 3 is a block diagram of a data analysis module.
Figure 4 shows a type of failure of a platform door system.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The invention provides a fault diagnosis and remote maintenance system and method for a platform door system.
The system comprises a platform door system PSD comprising:
the gantry crane P1 also comprises a motor P11, a transmission device P12 and a locking device P13 and is responsible for controlling the opening/closing of the platform door;
the door body P2 also comprises a sliding door P21, an emergency door P22 and an end door P23;
a power supply system P3 including a driving power supply P31 for opening/closing the sliding door, a control power supply P32 for controlling the platform door system, and a storage battery P33 for preventing power failure;
the monitoring system P4 further comprises a control system P41 and a monitoring system P42, wherein the control system P41 comprises an on-site control box LCB P411, a door control unit DCU P412, an on-site control panel PSL P413 and a central control panel PSC P414;
the monitoring system further comprises a memory P421 and a main monitoring system P422, the main monitoring system at least comprising a processor and at least one display, the processor retrieving the platform door system operation data retrieved from the central control panel PSC stored in the memory and displaying the data on a display interface of the display.
The fault diagnosis and remote maintenance system of the platform door system further comprises a fault diagnosis system P5, wherein the fault diagnosis system comprises a diagnosis server P51 for analyzing and processing fault data and a database server P52 for storing diagnosis results and fault processing schemes.
The fault diagnosis and remote maintenance system of the platform door system further comprises a remote maintenance work system P6, and the remote maintenance system comprises an information service P61 and a mobile maintenance terminal P62, wherein the information service P61 sends a diagnosis result to a maintenance worker in a mail or short message mode.
In the system, the platform door system sends the operation data of the door machine, the door body and the local control box to the door control unit, the operation data of the door control unit, the power supply system and the local control panel are sent to the central control panel, the central control panel summarizes the total operation data of the platform door and sends the summary operation data to the memory, and the operation state of the platform door is displayed on the display interface of the display of the monitoring system through the memory.
When the memory receives the data sent by the central control panel, the memory is connected with the fault diagnosis server through the local area network technology, so that the fault diagnosis server receives the fault data sent by the central control panel in time, analyzes the obtained data and judges the fault type and the fault reason.
Based on the system, the invention provides a fault diagnosis and remote maintenance method for a platform door system.
The method specifically comprises the following steps:
the central control panel periodically acquires the operation data of each station in the platform door system at a period t and sends the operation data to the memory for storage;
the diagnostic server periodically acquires the operation data of each station in the platform door system stored in the memory at a period T; the time of the period T at least comprises the time of two periods T;
the diagnostic server obtains data with state change after the operation data of each station obtained in the period T is deduplicated, wherein the data with state change comprises at least one data change period;
after the diagnosis server arranges the data with the state change in a list mode, disassembling the data into corresponding periodicity, and arranging the data into binary point location data to form a point table;
the diagnosis server carries out fault coding on the data in each period in the point list according to the preset fault type and the corresponding fault codes and stores the data subjected to the fault coding; after fault coding is carried out on data in each period in the point table, the station with the fault in the platform door system is identified by color in a monitoring interface displaying all-line stations;
the diagnosis server carries out fault diagnosis on each fault which is coded; for the fault after fault diagnosis, data recording is carried out by taking a site corresponding to the fault and a fault category as indexes, the data record is stored in a database server in a database form, and the content of the database is stored in a historical database at set time intervals, wherein the set time can be every day or every time when software is shut down to run;
and the diagnosis server remotely sends the diagnosis result to a maintenance terminal of a maintenance worker, and the maintenance worker performs fault maintenance according to the diagnosis result.
As shown in fig. 2, in an embodiment of the present invention, the fault diagnosis system uses an analytical ANS software suite to perform data collection integration (Server) and data analysis (Remote) on fault data transmitted from the station door system.
The data collection and integration mainly comprises: the configuration reading module is used for reading the IP of each PSC site by the diagnosis server for connection; the data deduplication module is used for performing duplicate checking processing on generated redundant data because a PSC acquisition period is usually in the order of seconds, for example, 1 second, and redundant data is very much, filtering out duplicate data, and only keeping data of state change, where the state change data includes platform door operation state data and fault data, where the fault data is a data format which has been defined in advance q, for example, a sliding door is normally 0, and a fault is 1, and when the change data is detected to have the sliding door opening data which is 1, it is indicated that a sliding door opening fault exists; and the transmission module is mainly responsible for responding to the Remote request, and after receiving the Remote request data, the transmission module is responsible for transmitting the PSC site state change data subjected to deduplication in two request periods and clearing the current cache of the site. The two request periods refer to that the transmission module in data acquisition and integration does not send data when receiving a first request sent by the data analysis module, and then sends data to the data analysis module through the transmission module when receiving a second request sent by the data analysis module.
The data analysis mainly comprises the following steps: the configuration module mainly reads configuration information and is connected to the Server when being started; the network transmission module sends a state request message to the Server every 6 seconds and responds to the reply data of the Server; and a data analysis module.
As shown in fig. 3, the data analysis module mainly comprises the following modules:
unpacking the data: the Server collects data of a plurality of stations every period T in a centralized collection mode, each station collects data of N times, each time N seconds and a mode of waiting for m seconds, so that query data of each station comprises a plurality of data change periods, for example, sever collects data of 55 stations every 5 minutes, each station continuously collects data of 3 times, each time 1 second and a mode of waiting for 0.5 second, for each station, response data of each query comprise a plurality of data change periods, the Server sorts the data in a list mode in response, corresponding unpacking processing is carried out when a Remote receives the data, the data are disassembled into corresponding periods according to a protocol, and point table forming processing is further carried out on the data according to the periods.
And (3) dot table molding: after unpacking the data, the network transmission data is arranged into a binary data format with 0 and 1 point positions, so that the data is analyzed and processed according to a table look-up method when the data is conveniently analyzed.
Data analysis: after the point table forming processing, the analysis module corresponds to a point table in a certain period, wherein each period corresponds to each single point table, the analysis module compares the definition of the fault in the point table protocol, finds out the fault information in each period through a table look-up method, and performs a fault primary coding according to the fault information, i.e. the fault is classified into 8 corresponding fault categories (door opening fault, door closing fault, control system fault, field bus fault, DCU communication fault, safety loop fault, detection switch fault and UPS fault), as shown in fig. 4. Subsequent fault query and subsequent fault confirmation are facilitated, and meanwhile the fault information is stored in the database.
And (4) fault reminding: the Remote provides two interfaces for fault display and reminding of the full-line PSC; the interface opened by software default is an interface generated from each PSC site and the last response data, the interface elements being consistent with the PSC software. The software also provides a full-line site monitoring interface, in which the failure of each site is counted and the failed site is identified by color.
And (3) fault inquiry: the software provides default data viewing functions, and fault inquiry which is conditioned by fault primary classification and site number, and inquiry results are displayed in a table form.
Fault diagnosis: for each confirmed fault, software modifies the weight of the corresponding fault tree node, so as to dynamically adjust the weight of different faults, and for the newly appeared fault, the software provides possible reasons and a corresponding solution plan according to the weight ratio of the faults.
And (3) data storage: and according to the fault information, recording data by taking a corresponding site and a corresponding fault type as indexes, storing the fault in a database mode, storing the data in the running database when the software runs, and storing the data in the running database into a historical database every day or when the software is closed.
The remote maintenance system adopts a wireless network access technology, and realizes remote wireless information interaction, remote wireless dispatching, wireless feedback of maintenance conditions and the like on the fault diagnosis result in the fault diagnosis system through an information service or a mobile maintenance terminal.
In the above fault diagnosis, the adopted fault diagnosis method includes:
the method comprises the following steps: establishing a fault tree model of a platform door system in a diagnostic server of a fault diagnosis system, wherein the fault tree model comprises a top event, a middle event and a bottom event;
in this step, when the fault tree model is established, a large amount of data such as fault points, fault causes, fault handling measures and the like of the platform door system need to be collected, and a fault model of the platform door system is established according to the data, wherein the fault model of the platform door system is an updatable model, and for computer identification, top events, middle events and bottom events in the fault tree are numbered and used as the basis for fault diagnosis of the platform door system.
Step two: when a platform door system has a fault, inquiring all bottom events causing the fault and the weight of the bottom events through a fault tree model, sequencing all the bottom events from high to low according to the weight, and sending the bottom events to a terminal of a maintainer;
in the fault tree of the present invention, each bottom event has a weight, and the weight is the probability of occurrence of the bottom event, that is: assuming that the fault corresponding to the top event occurs N times, the weight P = N/N of the occurrence frequency N of the fault cause corresponding to each bottom event.
Therefore, according to the fault diagnosis process flow, when a fault occurs in the platform door system on the site, firstly, the fault is numbered so that the computer can identify the fault, and secondly, all bottom events causing the fault are inquired through the fault tree model, so that the fault diagnosis range is narrowed. And finally, wirelessly pushing the diagnosis result to a mobile maintenance terminal of a field maintenance worker of the remote maintenance system for fault treatment.
Step three: the maintainer searches the fault reason according to the received sorted bottom event list and maintains the fault reason; when the fault tree model is established, each bottom event is simultaneously associated with the fault maintenance scheme or the suggested measures of the fault event, and after receiving the sorted bottom event list, maintenance personnel search the fault reasons corresponding to the bottom events according to the sorting until the bottom event causing the top event is found and maintain according to the fault maintenance scheme corresponding to the bottom event.
Step four: and after the maintenance personnel finish the treatment, updating the weight of the bottom event according to the fault reason corresponding to the adopted fault.
In this step, after each fault occurs and maintenance is completed, the weight of the bottom event is updated according to the feedback of the maintenance personnel, and because the probability of the bottom event changes when each fault occurs, the probability of all the bottom events changes, the fault is judged according to the feedback information of the maintenance personnel every time the fault is processed, and if the fault is a fault caused by misinformation or non-equipment reasons, the fault diagnosis system does not need to feed back; in addition, feedback is required for each fault. When feedback is needed, the system updates the types of the faults, the maintenance schemes corresponding to the faults and the probability of occurrence of the faults in the diagnosis database, redistributes the weight of each fault, establishes one-to-one correspondence relationship between the corresponding fault reasons and the maintenance schemes and the faults according to the feedback data, and avoids the influence on the accuracy of fault diagnosis caused by the occurrence of irrelevant faults or novel faults.
In the maintenance process of maintenance personnel, if the fault reason causing the occurrence of the top event is not in the bottom event list, the fault reason is added into the bottom event to update the fault tree model, and meanwhile, the weight of the bottom event is updated.
Similarly, in the maintenance process of the maintenance personnel, if the top event is not in the fault tree model, the fault reason is added into the fault tree model to update the fault tree model, and meanwhile, the weight of the bottom event can also be updated.
In the embodiment of the invention when the door closing fault is taken as the top event, the fault diagnosis and analysis method of the platform door comprises the following steps:
the method comprises the following steps: and collecting all data about the fault point of the platform door system, the fault reason corresponding to the fault, the maintenance scheme corresponding to the fault and the like, and establishing the fault tree model of the platform door system according to the modeling principle of the fault tree model.
The invention establishes a platform door system fault tree model by taking a door closing fault as a top event of a fault tree, and respectively numbers and marks the fault tree from top to bottom, wherein the top event is T1, the middle events are E1-E9, and the bottom events are X1-X21, and the fault tree model covers all contents related to the door closing fault of the platform door system. When the door closing fault occurs to the platform door, fault diagnosis can be performed according to the fault tree, the reason causing the door closing fault is found out, and a basis is provided for fault diagnosis of the system.
Step two: firstly, a fault diagnosis system polls stations, stores collected operation data of platform door system equipment of each station into a local database and analyzes the data, codes faults to form a top event when data related to door closing faults are found in the data, and then carries out fault tree diagnosis comparison through a door closing fault tree model to find out a bottom event X causing the faults i (i = 1-21), finding out the fault reason according to the one-to-one correspondence relationship between the fault and the fault reason, and pushing the diagnosis result to a field maintenance worker, so that the field maintenance worker can rapidly and accurately process the fault.
Step three: after the fault is eliminated, according to the processing condition of the field fault, if the fault reason pushed by the diagnosis system or the place with an exception to the fault processing plan is found, maintenance personnel need to feed back maintenance information to the fault diagnosis system, the system can update the occurrence probability of the fault reason corresponding to the bottom event in the database, carry out weight analysis on the fault reason again according to the occurrence probability of the fault reason, and update the fault reason and the fault processing plan corresponding to the fault in the diagnosis database at the same time, so that the accuracy of the fault diagnosis system is improved.
The failure weight analysis is the analysis method for determining the weight of each failure in diagnosis according to the probability of different failures. For example, there are two reasons for the occurrence of the sliding door resistance E1 in the fault tree of the present invention, and how to judge that the fault is the fault E1 caused by X2 or X3, it is necessary to determine the occurrence probability of X2 and X3 in the diagnostic database, if P is x2 >P x3 The diagnostic system will preferentially push X2 as the cause of the failure E1, that is, X2 is at the top of the list of pushed failure causes, and simultaneously send all the failure maintenance schemes corresponding to the bottom event X2 to the field maintenance staff, that is, according to the probability of the bottom event of the failure, push is performed in sequence. When the system needs to feed back, the system updates the diagnostic system according to the need of feedback, the probability of all faults in the diagnostic database is updated when the feedback is needed, the weight of each fault is redistributed, and the one-to-one corresponding relation is established between the corresponding fault reason and the maintenance scheme and the fault according to the feedback data, so that the influence on the accuracy of fault diagnosis caused by the occurrence of irrelevant faults or novel faults is avoided.
The fault diagnosis database is continuously accumulated and expanded along with the increase of the fault feedback information, and the larger the data volume of the database is, the higher the accuracy of fault diagnosis is. The maintenance personnel feed back the maintenance information to be fed back to the diagnosis system, so that the diagnosis database is in a continuously updated state, and the diagnosis blind spot and the error zone of the diagnosis system become smaller and smaller.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (7)
1. A method of fault diagnosis and remote maintenance of a platform door system, comprising:
periodically acquiring and storing the operation data of each station in the platform door system at a period t;
periodically acquiring stored operational data for each station in the platform door system at a period T; the time of the period T at least comprises the time of two periods T;
the method comprises the steps of obtaining data with state change after the operation data of each station obtained in a period T is subjected to deduplication, wherein the data with the state change comprises at least one data change period;
after the data with the state change is sorted in a list mode, the data are disassembled into corresponding periodicity, and the data are sorted into binary point location data to form a point table;
according to the preset fault type and the corresponding fault code, carrying out fault coding on the data in each period in the point table, and storing the data subjected to the fault coding;
carrying out fault diagnosis on each fault subjected to coding;
remotely sending the diagnosis result to a maintenance terminal of a maintenance worker, and performing fault maintenance by the maintenance worker according to the diagnosis result;
the fault diagnosing of each encoded fault comprises:
establishing a fault tree model of a platform door system, wherein the fault tree model comprises a top event, a middle event and a bottom event;
when a platform door system has a fault, inquiring all bottom events causing the fault through a fault tree model, sequencing all the bottom events from high to low according to the weight, and sending the bottom events to maintenance personnel;
the maintainer searches for the fault reason and maintains the fault reason according to the received sorted bottom event list;
after the maintenance personnel finish the processing, updating the weight of the bottom event according to the fault reason corresponding to the adopted fault;
the weight of the bottom event is as follows:
and when the fault corresponding to the top event occurs N times, the probability that the occurrence frequency N of the fault reason corresponding to each bottom event occurs in the N faults.
2. A method of fault diagnosis and remote maintenance of a platform door system according to claim 1, wherein:
and after the data in each period in the dot list is subjected to fault coding, identifying the station with the fault in the platform door system by color in the monitoring interface displaying all-line stations.
3. A method of fault diagnosis and remote maintenance of a platform door system according to claim 1, wherein:
and recording data of the fault after fault diagnosis by taking the site and the fault category corresponding to the fault as indexes, storing the data record in a database form, and storing the content of the database in a historical database at set intervals.
4. A method of fault diagnosis and remote maintenance of a platform door system according to claim 1, wherein:
and each bottom event is simultaneously associated with a fault maintenance scheme of the fault event, and after receiving the sorted bottom event list, maintenance personnel search the bottom events according to the sorting and fault reasons corresponding to the bottom events until the bottom event causing the top event is found, and maintain the bottom events according to the fault maintenance schemes corresponding to the bottom events.
5. A system for applying the method of any one of claims 1 to 4, comprising: a platform door system, a monitoring system and a fault diagnosis system; the platform door system and the fault diagnosis system are in communication connection with the monitor;
the platform door system comprises a door machine system, a door body system and a power supply system;
the monitoring system includes:
the control system comprises a local control box, a door control unit and a central control panel which are in communication connection with the platform door system, wherein the central control panel is in communication connection with the local control box, the door control unit and the local control panel and is used for periodically acquiring the operation data of each station in the platform door system at a period t;
the monitoring system comprises a memory which is in communication connection with the central control panel and is used for periodically acquiring and storing the operation data of each station in the platform door system at a period t; the monitoring system further comprises a monitoring system connected with the memory;
the fault diagnosis system includes:
a diagnostic server communicatively coupled to the memory; the diagnosis server is used for periodically acquiring the operation data of each station in the platform door system stored in the memory at a period T, acquiring data with state change after the operation data of each station acquired at the period T is subjected to deduplication, and after the data with the state change is sorted in a list manner, disassembling the data into corresponding period number and sorting the data into binary point location data to form a point table; according to the preset fault type and the corresponding fault code, carrying out fault coding on the data in each period in the point table, and carrying out fault diagnosis on each coded fault;
and the database server is connected with the diagnosis server and used for storing the fault after fault diagnosis, the diagnosis result and the fault maintenance scheme, recording the fault after fault diagnosis by taking the site and the fault category corresponding to the fault as indexes, storing the data record in a database form, and storing the content of the database in a historical database at set time intervals.
6. The system of claim 5, wherein:
the remote maintenance system comprises a fault diagnosis remote terminal connected with the database server through wireless communication.
7. The system of claim 5, wherein:
the monitoring system comprises a processor, wherein a display screen is connected to the processor, and a monitoring interface can be displayed in the display screen.
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