NL2031318A - Service optimization and diagnosis system and method for operation and maintenance of urban intelligent transportation - Google Patents

Service optimization and diagnosis system and method for operation and maintenance of urban intelligent transportation Download PDF

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Publication number
NL2031318A
NL2031318A NL2031318A NL2031318A NL2031318A NL 2031318 A NL2031318 A NL 2031318A NL 2031318 A NL2031318 A NL 2031318A NL 2031318 A NL2031318 A NL 2031318A NL 2031318 A NL2031318 A NL 2031318A
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maintenance
diagnosis
intelligent transportation
service optimization
numerical value
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NL2031318A
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Dutch (nl)
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Xu Qinxiang
Liang Zijun
Fang Jie
Liu Jun
Zhao Ligang
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Anhui Dar Intelligent Control System Co Ltd
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Publication of NL2031318A publication Critical patent/NL2031318A/en

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00—Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0081—On-board diagnosis or maintenance
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
    • B61L27/57—Trackside diagnosis or maintenance, e.g. software upgrades for vehicles or trains, e.g. trackside supervision of train conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00—Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0018—Communication with or on the vehicle or train
    • B61L15/0027—Radio-based, e.g. using GSM-R

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  • Business, Economics & Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
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  • General Physics & Mathematics (AREA)
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  • Tourism & Hospitality (AREA)
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  • Primary Health Care (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Train Traffic Observation, Control, And Security (AREA)

Abstract

Disclosed are a service optimization and diagnosis system and method for operation and maintenance of urban intelligent transportation. The service optimization and diagnosis system for operation and maintenance of urban intelligent transportation 5 includes an information acquisition apparatus that is configured in each carriage of a rail vehicle and is used for acquiring apparatus health state related information of each carriage of the rail vehicle; a signal receiving apparatus that is configured on one side of a rail and is used for receiving the apparatus health state related information in such a sequence that each carriage sequentially passes; and a background diagnosis unit used 10 for determining a diagnosis result of each carriage according to the health state related information from the signal receiving apparatus and determining a maintenance solution of each carriage according to the diagnosis result. [Fig l] 15

Description

SERVICE OPTIMIZATION AND DIAGNOSIS SYSTEM AND METHOD FOR
OPERATION AND MAINTENANCE OF URBAN INTELLIGENT
TRANSPORTATION
FIELD OF TECHNOLOGY
The present invention relates to the technical field of automatic diagnosis, and in particular to a service optimization and diagnosis system and method for operation and maintenance of urban intelligent transportation.
BACKGROUND
Urban rail transportation is generally maintained and repaired regularly by maintenance workers. For example, rail vehicles are generally maintained and repaired by maintenance workers when the vehicles are stopped. This repairing manner can only be handled when the vehicles are stopped, which cannot maintain the vehicles in time.
Presently, a diagnosis method is designed for intelligent rail transportation, which can automatically download fault data and automatically send the fault cause. However, the data cannot be transmitted to the background in time, and the data obtained by the background still has a certain lag, and accordingly, it is impossible to know the state of a vehicle in time.
SUMMARY
The objective of the present invention is to provide a service optimization and diagnosis system for operation and maintenance of urban intelligent transportation, which may optimize services, and achieve real-time diagnosis and timely maintenance and repair.
In order to achieve the above objective, the present invention provides a service optimization and diagnosis system for operation and maintenance of urban intelligent transportation, including: an information acquisition apparatus that is configured in each carriage of a rail vehicle and 1s used for acquiring apparatus health state related information of each carriage of the rail vehicle; a signal receiving apparatus that is configured on one side of a rail and is used for receiving the apparatus health state related information in such a sequence that each carriage sequentially passes; and a background diagnosis unit used for determining a diagnosis result of each carriage according to the health state related information from the signal receiving apparatus and determining a maintenance solution of each carriage according to the diagnosis result.
Preferably, the signal receiving apparatus includes: a main receiving apparatus mounted on one side of the rail and an auxiliary receiving apparatus configured on one side of the main receiving apparatus, where the main receiving apparatus may receive the apparatus health state related information, and the auxiliary receiving apparatus is started to reacquire apparatus health state related information of the carriage once when the apparatus health state related information shows that a health hidden danger exists in the carriage.
Preferably, the main receiving apparatus sends an instruction for reacquiring information, drives the information acquisition apparatus of the carriage to reacquire the apparatus health state related information, and sends the apparatus health state related information to the auxiliary receiving apparatus after determining that the carriage has the health hidden danger.
Preferably, the background diagnosis unit includes: a current numerical value determining unit used for acquiring corresponding relations between pre-divided fault types and numerical values reflecting severity of faults, and determining a current numerical value reflecting severity of a fault corresponding to a current fault type according to the current fault type to which the fault shown by the health state related information belongs; and a diagnosis result determining unit used for determining a current diagnosis result corresponding to the current numerical value according to corresponding relations between preset total numerical values and diagnosis results.
Preferably, the current numerical value determining unit is further used for determining, according to cooperative relations between the fault types, current numerical values that correspond to a plurality of current fault types and reflect severity of faults when a plurality of fault types coexist.
Preferably, the diagnosis result determining unit includes: a maintenance emergency degree acquisition module used for acquiring maintenance emergency degrees corresponding to pre-divided total numerical value ranges; and an emergency degree determining module used for determining a current maintenance emergency degree corresponding to the current numerical value as the diagnosis result according to the total numerical value range to which the current numerical value belongs.
Preferably, the service optimization and diagnosis system for operation and maintenance of urban intelligent transportation further includes: an alarm unit that is configured in a carriage, is connected to the current numerical value determining unit and is used for executing alarm when the current numerical value of the carriage is lower than a preset numerical threshold value.
In addition, the present invention further provides a service optimization and diagnosis method for operation and maintenance of urban intelligent transportation, using the above service optimization and diagnosis system for operation and maintenance of urban intelligent transportation, the service optimization and diagnosis method for operation and maintenance of urban intelligent transportation including: acquiring apparatus health state related information of each carriage of a rail vehicle; receiving the apparatus health state related information in such a sequence that each carriage sequentially passes; and determining a diagnosis result of each carriage according to the health state related information from a signal receiving apparatus, and determining a maintenance solution of each carriage according to the diagnosis result.
In addition, the present invention further provides a storage medium, storing a program, where when the program is executed by a processor, the above service optimization and diagnosis method for operation and maintenance of urban intelligent transportation is implemented.
In addition, the present invention further provides a processor, used for running a program, where when the program is run, the above service optimization and diagnosis method for operation and maintenance of urban intelligent transportation is executed.
According to the above technical solution, the service optimization and diagnosis system for operation and maintenance of urban intelligent transportation of the present invention may directly transmit data to a background in a road test, may conveniently analyze and diagnose the data by the background, and determines the maintenance solution of each carriage to complete diagnosis in time and achieve maintenance in time according to the diagnosis result, thereby avoiding serious consequences caused by too late maintenance or diagnosis.
Other features and advantages of the present invention will be described in detail in the specific implementation that follows.
BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are used for providing further understanding of the present invention and constitute a part of the description, together with the following specific implementation, serve to explain the present invention instead of limiting same. In the figures:
FIG 1 is a module block diagram illustrating a service optimization and diagnosis system for operation and maintenance of urban intelligent transportation of the present invention; and
FIG 2 is a flow chart illustrating a service optimization and diagnosis method for operation and maintenance of urban intelligent transportation of the present invention.
DESCRIPTION OF THE EMBODIMENTS
The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is merely illustrative of the present invention and is not intended to limit the present invention. 5 FIG. 1 is a module block diagram illustrating a service optimization and diagnosis system for operation and maintenance of urban intelligent transportation of the present invention. As shown in FIG. 1, the service optimization and diagnosis system for operation and maintenance of urban intelligent transportation includes: an information acquisition apparatus that is configured in each carriage of a rail vehicle and is used for
IO acquiring apparatus health state related information of each carriage of the rail vehicle, where the information acquisition apparatus may acquire information of each carriage, for example, temperature data in the carriage, communication on-off data of each module, display data of an apparatus, etc., and the health state related information may be directly determined by means of energization and disenergization of the apparatus and may also be determined according to representation of the apparatus, a signal receiving apparatus that is configured on one side of a rail and is used for receiving the apparatus health state related information in such a sequence that each carriage sequentially passes, where the signal receiving apparatus is arranged on one side of the rail and may receive data according to the sequence that each carriage sequentially passes, thereby determining a health state of each carriage; and a background diagnosis unit used for determining a diagnosis result of each carriage according to the health state related information from the signal receiving apparatus and determining a maintenance solution of each carriage according to the diagnosis result.
Preferably, the signal receiving apparatus may include: a main receiving apparatus mounted on one side of the rail and an auxiliary receiving apparatus configured on one side of the main receiving apparatus, where the main receiving apparatus may receive the apparatus health state related information, and the auxiliary receiving apparatus is started to reacquire apparatus health state related information of the carriage once when the apparatus health state related information shows that a health hidden danger exists in the carriage. The auxiliary receiving apparatus is a certain distance away from the main receiving apparatus, and confirmation may be carried out in a manner of acquiring a signal again when it is found that a hidden danger occur in a certain carriage, thereby avoiding wrong determination in a process of transmitting a signal.
The secondary detection manner is accurate, the acquired data is not only the data acquired for the first time, but also the represented data such as display data, and the data may well show whether a problem of the carriage really exists, thereby avoiding wrong determination.
Preferably, the main receiving apparatus sends an instruction for reacquiring information, drives the information acquisition apparatus of the carriage to reacquire the apparatus health state related information, and sends the apparatus health state related information to the auxiliary receiving apparatus after determining that the carriage has the health hidden danger. The reacquired data may be well determined anew, and whether there are hidden dangers is determined.
Preferably, the background diagnosis unit may include: a current numerical value determining unit used for acquiring corresponding relations between pre-divided fault types and numerical values reflecting severity of faults, and determining a current numerical value reflecting severity of a fault corresponding to a current fault type according to the current fault type to which the fault shown by the health state related information belongs; and a diagnosis result determining unit used for determining a current diagnosis result corresponding to the current numerical value according to corresponding relations between preset total numerical values and diagnosis results. For example, damage to an internal lamp, stop arrival without a broadcast, etc. belong to a first-level fault type, incapability to tightly close a door and a large carriage jitter amplitude belong to a second-level fault type, and in addition, major hidden dangers, such as over-high temperature and over-high voltage, belong to a third-level fault type.
For different levels, deducted weights are higher, and numerical values after weight deducting are total numerical values.
Preferably, the current numerical value determining unit is further used for determining, according to cooperative relations between the fault types, current numerical values that correspond to a plurality of current fault types and reflect severity of faults when a plurality of fault types coexist. For example, when a lamp does not work and the temperature is too high, the fault may be determined to be severe, and the two together may determine that a short circuit fault is likely to exist, and a weight (numerical value) may be reset, which is not just a simple superposition of two faults.
Preferably, the diagnosis result determining unit may include: a maintenance emergency degree acquisition module used for acquiring maintenance emergency degrees corresponding to pre-divided total numerical value ranges; and an emergency degree determining module used for determining a current maintenance emergency degree corresponding to the current numerical value as the diagnosis result according to the total numerical value range to which the current numerical value belongs. The maintenance emergency degree is maintenance time, which may be 1 day or 1 hour, and may be determined according to actual conditions. For example, the maintenance emergency degree is 10 min when the numerical value is less than 60.
Preferably, the service optimization and diagnosis system for operation and maintenance of urban intelligent transportation further includes: an alarm unit that is configured in a carriage, is connected to the current numerical value determining unit and is used for executing alarm when the current numerical value of the carriage is lower than a preset numerical threshold value.
In addition, as shown in FIG. 2, the present invention further provides a service optimization and diagnosis method for operation and maintenance of urban intelligent transportation of the present invention, using the above service optimization and diagnosis system for operation and maintenance of urban intelligent transportation of the present invention. The service optimization and diagnosis method for operation and maintenance of urban intelligent transportation of the present invention includes:
S201, acquire apparatus health state related information of each carriage of a rail vehicle;
S202, receive the apparatus health state related information in such a sequence that each carriage sequentially passes; and
S203, determine a diagnosis result of each carriage according to the health state related information from a signal receiving apparatus, and determine a maintenance solution of each carriage according to the diagnosis result.
In addition, the present invention further provides a storage medium, storing a program, where when the program is executed by a processor, the above service optimization and diagnosis method for operation and maintenance of urban intelligent transportation is implemented.
In addition, the present invention further provides a processor, used for running a program, where when the program is run, the above service optimization and diagnosis method for operation and maintenance of urban intelligent transportation is executed.
Those skilled in the art should understand that the embodiments of the present application may be provided as a method, a system or a computer program product.
Therefore, the present application may use the forms of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining hardware and software elements. Moreover, the present application may take the form of a computer program product implemented on one or more computer usable storage media (including, but not limited to, disk memories, CD-ROM, optical memories, etc.) containing computer usable program codes.
The present application is described with reference to flow charts and/or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and/or block in the flow chart and/or the block diagram and combination of flow and/or block in the flow chart and/or the block diagram may be implemented by computer program instructions. These computer program instructions may be provided for a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, such that instructions executed by the processor of the computer or other programmable data processing devices produce an apparatus used for implementing functions specified in one or more flows of the flow chart and/or one or more blocks of the block diagram.
These computer program instructions may be stored in a computer readable memory that may instruct the computer or another programmable data processing device to work in a specific manner, such that the instructions stored in the computer readable memory generate an artifact that includes an instruction apparatus. The instruction apparatus implements a specific function in one or more processes in the flowcharts and/or in one or more blocks in the block diagrams.
These computer program instructions may be further loaded to the computer or other programmable data processing devices, such that a series of operating steps are executed on the computer or other programmable devices to generate processing implemented by the computer, and therefore, the instructions executed on the computer or other programmable devices provide a step of implementing appointed functions in one or more flows in the flow chart and/or one or more blocks in the block diagram.
In a typical configuration, a computing device includes one or more central processing units (CPUs), an input/output interface, a network interface and a memory.
The memory may include a non-permanent memory, a random access memory (RAM) and/or a non-volatile memory (such as a read-only memory (ROM) or a flash memory (flash RAM)) and so on in a computer-readable medium. A memory is an example of a computer-readable medium.
[0001] A computer-readable medium includes permanent and non-permanent, movable and non-movable media and may realize information storage by means of any method or technology. Information may be modules of computer-readable instructions, data structures and programs, or other data. Examples of a computer storage medium include, but are not limited to, a phase-change random access memory (PRAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), other types of random access memories (RAMs), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory or other memory technologies, a compact disc read-only memory (CD-ROM), a digital versatile disc (DVD) or other optical storage, a cassette tape, tape or disk storage or other magnetic storage devices, or any other non-transmission media that may be used to store information capable of being accessed by a computing device. According to the definitions herein, the computer-readable medium does not include transitory media, such as modulated data signals and carrier waves.
It should be noted that, terms “include”, “contain”, or any other variations thereof are intended to cover non-exclusive inclusions, such that processes, methods, commodities, or devices including a series of elements not only include those elements,
but also include other elements that are not explicitly listed, or further includes inherent elements of the process, the method, the commodities, or the devices. Without more restrictions, the elements defined by the sentence “includes a …” do not exclude the existence of other identical elements in the processes, methods, commodities, or devices including the elements.
Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products.
Therefore, the present application may use the forms of full hardware embodiments, full software embodiments, or software and hardware combined embodiments.
Moreover, the present application may take the form of a computer program product implemented on one or more computer usable storage media (including, but not limited to, disk memories, CD-ROM, optical memories, etc.) containing computer usable program codes.
What is described above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims (10)

CONCLUSIESCONCLUSIONS 1. Service-optimalisatie- en diagnosesysteem voor bediening en onderhoud van stedelijk intelligent vervoer, omvattende: een informatie-acquisitieapparaat geconfigureerd in elk rijtuig van een spoorvoertuig voor het verwerven van informatie over apparatuur-gezondheidsstatus van elk rijtuig van het spoorvoertuig; een signaalontvangstapparaat dat aan één zijde van een spoorstaaf geconfigureerd is voor het ontvangen van de informatie over apparatuur-gezondheidsstatus, in een zodanige volgorde dat elk rijtuig opeenvolgend passeert, en een achtergronddiagnose-eenheid voor het bepalen van een diagnoseresultaat van elk rijtuig volgens de informatie over apparatuur-gezondheidsstatus van het signaalontvangstapparaat en het bepalen van een onderhoudsoplossing van elk rijtuig volgens het diagnoseresultaat.A service optimization and diagnosis system for operation and maintenance of urban intelligent transportation, comprising: an information acquisition device configured in each carriage of a rail vehicle for acquiring equipment health status information of each carriage of the rail vehicle; a signal receiving device configured on one side of a rail for receiving the equipment health status information in such an order that each coach passes sequentially, and a background diagnostic unit for determining a diagnosis result of each coach according to the information on equipment health status of the signal receiving device and determining a maintenance solution of each carriage according to the diagnosis result. 2. Het service-optimalisatie- en diagnosesysteem voor bediening en onderhoud van stedelijk intelligent vervoer volgens conclusie 1, met het kenmerk, dat het signaalontvangstapparaat omvat: een hoofdontvangapparaat dat aan één zijde van de spoorstaaf gemonteerd is en een hulpontvangapparaat dat aan één zijde van het hoofdontvangapparaat geconfigureerd is, waarbij het hoofdontvangstapparaat de informatie over apparatuur-gezondheidsstatus kan ontvangen, en het hulpontvangstapparaat wordt gestatt om opnieuw informatie over apparatuur-gezondheidsstatus van de rijtuig te verwerven wanneer de informatie over apparatuur-gezondheidsstatus aantoont dat er in de rijtuig een gevaar voor de gezondheid bestaat.The service optimization and diagnosis system for operation and maintenance of urban intelligent transportation according to claim 1, characterized in that the signal receiving device comprises: a main receiving device mounted on one side of the rail and an auxiliary receiving device mounted on one side of the rail. main receiving device is configured, whereby the main receiving device can receive the equipment health status information, and the auxiliary receiving device is set to acquire equipment health status information from the vehicle again when the equipment health status information shows that there is a hazard to the vehicle in the vehicle health exists. 3. Het service-optimalisatie- en diagnosesysteem voor bediening en onderhoud van stedelijk intelligent vervoer volgens conclusie 2, met het kenmerk, dat nadat het hoofdontvangstapparaat heeft bepaald dat er in de rijtuig een gevaar voor de gezondheid bestaat, zendt het hoofdontvangstapparaat een instructie voor het opnieuw verwerven van informatie, stuurt het het informatie-acquisitieapparaat van de rijtuig aan om opnieuw informatie over apparatuur-gezondheidsstatus te verwerven, en zendt het de informatie over apparatuur-gezondheidsstatus naar het hulpontvangstapparaat.The service optimization and diagnosis system for operation and maintenance of urban intelligent transportation according to claim 2, characterized in that after the main receiving device determines that there is a health hazard in the vehicle, the main receiving device sends an instruction for the re-acquiring information, it controls the information acquisition device of the vehicle to acquire equipment health status information again, and sends the equipment health status information to the auxiliary receiving device. 4. Het service-optimalisatie- en diagnosesysteem voor bediening en onderhoud van stedelijk intelligent vervoer volgens conclusie 1, met het kenmerk, dat de achtergronddiagnose-eenheid omvat: een huidige numerieke waardebepalingseenheid voor het verwerven van corresponderende relaties tussen vooraf onderverdeelde fouttypes en numerieke waarden die de ernst van de fouten weerspiegelen, en het bepalen van een huidige numerieke waarde die de ernst weerspiegelt van een fout die overeenstemt met een huidig foutentype volgens het huidige foutentype waartoe de door de informatie over apparatuur-gezondheidsstatus getoonde fout behoort; en een diagnose-resultaatbepalingseenheid voor het bepalen van een huidig diagnoseresultaat dat overeenstemt met de huidige numerieke waarde volgens de corresponderende relaties tussen vooraf ingestelde totale numerieke waarden en diagnoseresultaten.The service optimization and diagnosis system for operation and maintenance of urban intelligent transportation according to claim 1, characterized in that the background diagnosis unit comprises: a current numerical value determination unit for acquiring corresponding relationships between pre-classified error types and numerical values that reflecting the severity of the errors, and determining a current numerical value reflecting the severity of an error corresponding to a current error type according to the current error type to which the error displayed by the equipment health status information belongs; and a diagnosis result determination unit for determining a current diagnosis result corresponding to the current numerical value according to the corresponding relationships between preset total numerical values and diagnosis results. 5. Het service-optimalisatie- en diagnosesysteem voor bediening en onderhoud van stedelijk intelligent vervoer volgens conclusie 4, met het kenmerk, dat de huidige numerieke waardebepalingseenheid wordt verder gebruikt voor het bepalen, volgens coöperatieve relaties tussen de fouttypes, van een huidige numerieke waarde die de ernst weerspiegelt van een fout die overeenstemt met een veelheid van huidige fouttypes wanneer een veelheid van fouttypes naast elkaar bestaan.The service optimization and diagnosis system for operation and maintenance of urban intelligent transportation according to claim 4, characterized in that the current numerical value determination unit is further used to determine, according to cooperative relations between the error types, a current numerical value which reflects the severity of an error corresponding to a plurality of current error types when a plurality of error types coexist. 6. Het service-optimalisatie- en diagnosesysteem voor bediening en onderhoud van stedelijk intelligent vervoer volgens conclusie 4, met het kenmerk, dat de diagnose-resultaatbepalingseenheid omvat: een onderhoudsprioriteit-acquisitiemodule voor het verwerven van onderhoudsprioriteiten die overeenstemt met elke vooraf verdeelde totale numerieke-waardenreeks; en een prioriteitsbepalingsmodule voor het bepalen van een huidige onderhoudsprioriteit die overeenstemt met de huidige numerieke waarde als het diagnoseresultaat volgens het totale numerieke-waardenreek waartoe de huidige numerieke waarde behoort.The service optimization and diagnosis system for operation and maintenance of urban intelligent transportation according to claim 4, characterized in that the diagnosis result determination unit comprises: a maintenance priority acquisition module for acquiring maintenance priorities corresponding to each predistributed total numerical series of values; and a prioritization module for determining a current maintenance priority corresponding to the current numerical value as the diagnosis result according to the total numerical value range to which the current numerical value belongs. 7. Het service-optimalisatie- en diagnosesysteem voor bediening en onderhoud van stedelijk intelligent vervoer volgens conclusie 6, verder omvattende: een alarmeenheid, geconfigureerd in een rijtuig en verbonden met de huidige numerieke waardebepalingseenheid, voor het uitvoeren van een alarm wanneer de huidige numerieke waarde van de rijtuig lager is dan een vooraf ingestelde numerieke drempelwaarde.The service optimization and diagnosis system for operation and maintenance of urban intelligent transportation according to claim 6, further comprising: an alarm unit, configured in a vehicle and connected to the current numerical value determination unit, for outputting an alarm when the current numerical value of the vehicle is lower than a preset numerical threshold. 8. Service-optimalisatie- en diagnosemethode voor bediening en onderhoud van stedelijke intelligent vervoer, omvattende: het verwerven van informatie over apparatuur-gezondheidsstatus van elk rijtuig van een spoorvoertuig, het ontvangen van de informatie over apparatuur-gezondheidsstatus, in een zodanige volgorde dat elk rijtuig opeenvolgend passeert; en het bepalen van een diagnoseresultaat van elk rijtuig volgens de informatie over apparatuur-gezondheidsstatus van het signaalontvangstapparaat en het bepalen van een onderhoudsoplossing van elk rijtuig volgens het diagnoseresultaat.8. Service optimization and diagnosis method for operation and maintenance of urban intelligent transportation, comprising: acquiring the equipment health status information of each carriage of a railway vehicle, receiving the equipment health status information, in such an order that each carriage passes successively; and determining a diagnosis result of each vehicle according to the equipment health status information of the signal receiving device and determining a maintenance solution of each vehicle according to the diagnosis result. 9. Opslagmedium, met het kenmerk, dat daarop een programma opgeslagen is, en wanneer het programma door een processor uitgevoerd is, de service-optimalisatie- en diagnosemethode voor bediening en onderhoud van stedelijke intelligent vervoer volgens conclusie 8 geïmplementeerd is.A storage medium, characterized in that a program is stored thereon, and when the program is executed by a processor, the service optimization and diagnosis method for operation and maintenance of urban intelligent transportation according to claim 8 is implemented. 10. Processor voor het uitvoeren van een programma, met het kenmerk, dat wanneer het programma uitgevoerd is, de service-optimalisatie- en diagnosemethode voor bediening en onderhoud van stedelijke intelligent vervoer volgens conclusie 8 uitgevoerd is.A processor for executing a program, characterized in that when the program is executed, the service optimization and diagnosis method for operation and maintenance of urban intelligent transportation according to claim 8 is executed.
NL2031318A 2021-12-06 2022-03-18 Service optimization and diagnosis system and method for operation and maintenance of urban intelligent transportation NL2031318A (en)

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