CN116256184A - Method, device, equipment and medium for evaluating health state of railway wagon - Google Patents
Method, device, equipment and medium for evaluating health state of railway wagon Download PDFInfo
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- CN116256184A CN116256184A CN202310087498.9A CN202310087498A CN116256184A CN 116256184 A CN116256184 A CN 116256184A CN 202310087498 A CN202310087498 A CN 202310087498A CN 116256184 A CN116256184 A CN 116256184A
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Abstract
The invention relates to a rail transit technology, and discloses a method and a device for evaluating the health state of a railway wagon, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a vehicle fault classification rule, and judging an operation fault state identifier according to the vehicle fault classification rule; obtaining the remaining mileage of the vehicle, and judging the vehicle state identification according to the fault state identification and the remaining mileage of the vehicle; dividing train states corresponding to the vehicles according to the vehicle state identifiers; and generating the health state of the train according to the train state. The invention can improve the efficiency and accuracy of the railway wagon health state evaluation technology.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to a method, a device, equipment and a medium for evaluating the health state of a railway wagon.
Background
This section is intended to provide a background or context for the embodiments recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
The railway wagon is a high-tech product suitable for modern civilization and social progress, is a well-known transportation tool with high speed, large capacity and low pollution, and has the characteristics of high conveying capacity, high speed and good safety. The state repair of the railway freight car is started by the national energy equipment company in 2020, the blank of the state repair of the railway freight car in industry is made up, and the state repair digital enabling system architecture is built mainly around state sensing, accurate repair and iterative optimization. The development of the state repair is not at the cost of safety and simplification of operation, but the running states of the train and the vehicle are accurately identified. The state maintenance data center starts a train, a vehicle and a part health code as important health state monitoring indexes, so as to guide the production command of truck maintenance through the train state.
In the prior art, the monitoring of the 'health state' of the heavy-duty railway freight car is mainly realized by periodically checking and maintaining vehicle-mounted equipment, external equipment and the like, and the 'physical examination' of infrastructures such as steel rails, contact wire nets and the like is mainly realized by manually and comprehensively checking the railway freight car, so that time and labor are wasted; because the update of the existing overhaul regulations is relatively delayed from the development of the technical level of vehicles, unified overhaul operation standards are executed when the vehicles are repaired in factories and sections, excessive overhaul phenomenon generally exists, and problems of untimely detection, weak faults and the like are existed, so that the health state evaluation of the traditional heavy-duty railway freight car is not suitable for the requirements of the development of railway trains in China.
In summary, the existing heavy-duty railway wagon health state evaluation technology has the problem of low efficiency and accuracy.
Disclosure of Invention
Aiming at the problems, the embodiment of the invention provides a method, a device, equipment and a medium for evaluating the health state of a railway wagon.
In a first aspect, an embodiment of the present invention provides a method for evaluating a health status of a railway wagon, including:
acquiring a vehicle fault classification rule, and judging an operation fault state identifier according to the vehicle fault classification rule;
obtaining the remaining mileage of the vehicle, and judging the vehicle state identification according to the fault state identification and the remaining mileage of the vehicle;
dividing train states corresponding to the vehicles according to the vehicle state identifiers;
and generating the health state of the train according to the train state.
According to an embodiment of the present invention, the determining an operation fault status identifier according to the vehicle fault classification rule includes:
obtaining a target vehicle, and scoring the target vehicle according to the vehicle fault classification rule to obtain a vehicle score;
and judging the fault state identification of the target vehicle according to the vehicle score.
According to an embodiment of the present invention, the determining, according to the vehicle score, the fault status identifier of the target vehicle includes:
when the accumulated deduction value of the vehicle score reaches a first preset score condition, judging that the fault state of the target vehicle is marked as a red line fault;
when the vehicle score accumulated deduction value reaches a second preset score condition, judging that the fault state of the target vehicle is marked as an orange fault;
and when the vehicle score accumulated deduction value reaches a third preset score condition, judging that the fault state of the target vehicle is marked as yellow fault.
According to an embodiment of the present invention, the determining the vehicle state identifier according to the fault state identifier and the remaining mileage of the vehicle includes:
setting conditions according to the fault state identification and the vehicle remaining mileage to obtain judging conditions;
and marking the vehicle by color according to the judging condition to obtain a vehicle state identifier.
According to an embodiment of the present invention, the dividing the train states corresponding to the vehicles according to the vehicle state identifiers includes:
counting the number of the vehicle state identifiers to obtain statistical data;
and dividing the train states of the vehicles according to the statistical data to obtain train states corresponding to the vehicles.
According to an embodiment of the present invention, the dividing the train states of the vehicles according to the statistical data to obtain train states corresponding to the vehicles includes:
when the statistical data is in a first state condition, dividing a train state corresponding to the vehicle into a red line train;
when the statistical data is in the second state condition, dividing the train state corresponding to the vehicle into orange trains;
when the statistical data is in a third state condition, dividing the train state corresponding to the vehicle into yellow trains;
and when the statistical data is in a fourth state condition, dividing the train state corresponding to the vehicle into green trains.
According to an embodiment of the present invention, the generating the health status of the train according to the train status includes:
performing health calculation on the train according to the train state to obtain a health score;
and carrying out maintenance evaluation on the train by utilizing the health score to obtain the health state of the train.
In a second aspect, an embodiment of the present invention provides an apparatus for evaluating a health status of a railway wagon, including:
the fault state identification judging module is used for acquiring a vehicle fault classification rule and judging an operation fault state identification according to the vehicle fault classification rule;
the vehicle state identification judging module is used for acquiring the remaining mileage of the vehicle and judging the vehicle state identification according to the fault state identification and the remaining mileage of the vehicle;
the train state generation module is used for dividing train states corresponding to the vehicles according to the vehicle state identification;
and the train health state generation module is used for generating the health state of the train according to the train state.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement a method of evaluating the health of a railway wagon as described in the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for evaluating the health status of a railway wagon as described in the first aspect.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
according to the embodiment of the invention, the running fault state identification is judged according to the vehicle fault classification rule, the information such as the color state change process and change reason of the passing train and the vehicle is recorded, basic management data is provided for subsequent data analysis, and the accuracy of the existing heavy-duty railway wagon health state evaluation technology is improved; the health state of the train is generated according to the train state, so that the running state of the train can be effectively monitored, the running state information of all railway wagons running on a line is displayed in real time, and the efficiency of the existing heavy-load railway wagon health state evaluation technology is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows a workflow diagram of a method for evaluating the health status of a railway wagon according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of determining an operation fault status identifier according to the vehicle fault classification rule according to the first embodiment of the present invention;
FIG. 3 is a schematic flow chart of determining a vehicle state identifier according to the fault state identifier and the remaining mileage of the vehicle according to the first embodiment of the present invention;
FIG. 4 is a functional block diagram showing an evaluation device for the health status of a railway wagon according to a third embodiment of the present invention;
fig. 5 shows a schematic diagram of a composition structure of an electronic device for implementing the method for evaluating the health status of a railway wagon according to the fourth embodiment of the present invention.
Detailed Description
The disclosure is further described below with reference to the embodiments shown in the drawings.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
The invention provides a method for evaluating the health state of a railway wagon, which judges the running fault state identification according to the vehicle fault classification rule, records the information such as the passing train, the color state change process and change reason of the vehicle and the like, provides basic management data for subsequent data analysis, and improves the accuracy of the existing heavy-duty railway wagon health state evaluation technology; the health state of the train is generated according to the train state, so that the running state of the train can be effectively monitored, the running state information of all railway wagons running on a line is displayed in real time, and the efficiency of the existing heavy-load railway wagon health state evaluation technology is improved.
Example 1
As shown in fig. 1, the invention provides a method for evaluating the health status of a railway wagon, which comprises the following steps:
s1, acquiring a vehicle fault classification rule, and judging an operation fault state identifier according to the vehicle fault classification rule.
In the embodiment of the invention, the vehicle fault classification rule can use a catalogue and a grading rule of a railway wagon operation fault library (2021 edition), and the vehicle fault can be classified into typical faults, key faults and other faults according to the vehicle fault classification rule; typical faults are represented as critical traffic safety faults, including class a faults, class B faults, class C faults, and others.
Referring to fig. 2, in an embodiment of the present invention, the determining an operation fault status identifier according to the vehicle fault classification rule includes:
s21, obtaining a target vehicle, and scoring the target vehicle according to the vehicle fault classification rule to obtain a vehicle score;
s22, judging the fault state identification of the target vehicle according to the vehicle score.
In the embodiment of the invention, the target vehicle is a fault vehicle to be detected; the scoring of the target vehicle can be performed by using a preset HCCBM system according to the vehicle fault classification rule, wherein the HCCBM system is a railway wagon 'state repair' health state diagnosis model and a state monitoring maintenance system, and is an important support system for intelligent operation and maintenance 'state repair' of a national energy group heavy-duty railway wagon; the class A faults are predicted 100 points or directly picked up by the HCCBM system, the class B faults are predicted 40 points for the first time by the HCCBM system, the deduction of the total points is completed 30 points when the vehicle runs for every 1000km, the deduction of the total points is completed 100 points, the class C faults are predicted 30 points for the first time by the HCCBM system, the deduction of the total points is completed 10 points when the vehicle runs for every 1000km, and the deduction of the total points is completed 100 points; the key faults are predicted by an HCCBM system to be 5 points for each fault button until the deduction total points reach 20 points; the other malfunctioning HCCBM system is not deducted.
In an embodiment of the present invention, the determining, according to the vehicle score, the fault state identifier of the target vehicle includes:
when the accumulated deduction value of the vehicle score reaches a first preset score condition, judging that the fault state of the target vehicle is marked as a red line fault;
when the vehicle score accumulated deduction value reaches a second preset score condition, judging that the fault state of the target vehicle is marked as an orange fault;
and when the vehicle score accumulated deduction value reaches a third preset score condition, judging that the fault state of the target vehicle is marked as yellow fault.
In the embodiment of the invention, the first preset score condition is represented as that the accumulated score value of the vehicle score reaches 100 points; the second preset score condition is represented as an interval of [30,99] of the vehicle score cumulative deduction value; the third preset score condition is represented as an interval of the vehicle score cumulative deduction value in [1,29 ]; when the vehicle score is other than the preset score condition, not performing color management on the fault state mark of the target vehicle; for C type faults and below in typical faults, when the fault reporting condition of the same vehicle number, the same number and the same fault code does not occur in the 4000 kilometer operating range, the HCCBM system automatically processes the number of the original fault vehicle, and for A type faults and B type faults in the typical faults, the HCCBM system does not set 4000 kilometers repeated fault number selling algorithm, and a manual number selling method is needed.
S2, obtaining the remaining mileage of the vehicle, and judging the vehicle state identification according to the fault state identification and the remaining mileage of the vehicle.
In the embodiment of the invention, the remaining mileage of the vehicle can be directly displayed through a train instrument panel for data acquisition; the vehicle status identifier includes a red line vehicle, an orange vehicle, a yellow vehicle, and a green vehicle.
In the embodiment of the present invention, the determining the vehicle state identifier according to the fault state identifier and the remaining mileage of the vehicle includes:
setting conditions according to the fault state identification and the vehicle remaining mileage to obtain judging conditions;
and marking the vehicle by color according to the judging condition to obtain a vehicle state identifier.
In the embodiment of the invention, the judging condition is that the deduction value of the health diagnosis model to the vehicle fault and the residual mileage data are received according to a preset data center, and the color state of the vehicle is judged; the vehicle status identifier includes four types: red line vehicle, orange vehicle, yellow vehicle, and green vehicle; the red line vehicle is in the highest fault early warning state in the vehicle operation faults, and the corresponding vehicle is marked as the vehicle with the red line operation faults; the orange vehicle comprises: the vehicle with the highest fault early warning state of orange fault in the vehicle running faults or the vehicle remaining mileage is less than or equal to 0 and still continues to run, and the orange state is achieved as long as one of the conditions is met; the yellow vehicle includes: the method comprises the steps that a vehicle with the highest fault early warning state of yellow faults or the running residual mileage of the vehicle exceeds a certain range, wherein the residual mileage range of the predicted repair for Z1 repair is (0, 10000 Km), the residual mileage range of the vehicle predicted for Z2-Z3 repair is (0, 20000 Km), the residual mileage range of the vehicle predicted for Z4 repair is (0, 60000 Km), and the condition that one of the two conditions is met is that the vehicle is marked as yellow, the green vehicle is represented as a healthy non-faulty vehicle, and particularly, the condition that the fault state of the vehicle is marked as red line fault, orange fault and yellow fault and the residual mileage of the vehicle is out of limit is not existed.
S3, dividing the train states corresponding to the vehicles according to the vehicle state identifiers.
Referring to fig. 3, in an embodiment of the present invention, the dividing the train states corresponding to the vehicles according to the vehicle state identifiers includes:
s31, counting the number of the vehicle state identifiers to obtain statistical data;
s32, dividing the train states of the vehicles according to the statistical data to obtain train states corresponding to the vehicles.
In the embodiment of the invention, the number statistics is to count the number of vehicles corresponding to various colors in the early warning state of the vehicle, for example, to count the number of vehicles with the highest early warning state of the vehicle being a red line; train status divisions contain four total categories: red train, orange train, yellow train and green train.
In the embodiment of the present invention, the dividing the train states of the vehicles according to the statistical data to obtain the train states corresponding to the vehicles includes:
when the statistical data is in a first state condition, dividing a train state corresponding to the vehicle into a red line train;
when the statistical data is in the second state condition, dividing the train state corresponding to the vehicle into orange trains;
when the statistical data is in a third state condition, dividing the train state corresponding to the vehicle into yellow trains;
and when the statistical data is in a fourth state condition, dividing the train state corresponding to the vehicle into green trains.
In the embodiment of the invention, the first state condition is that a vehicle with the highest fault early warning state of the vehicle in the train is a red line, and the corresponding train with one red line vehicle is the red line train; the second state condition is that a train with the highest fault early warning state of the train is orange, and the train corresponding to the orange train is the orange train, for example, the train is the orange train when the number of the orange trains in the train is more than or equal to 20 because of the remaining mileage, and the train is yellow when the number of the orange trains in the train is less than 20 because of the remaining mileage, and the train is buckled according to the yellow train standard; the third state condition is that the train with the highest fault early warning state of the train is a yellow train, and one train is a yellow train; the number of yellow vehicles in the train is larger than or equal to 20, and the number of orange vehicles in the train is smaller than 20, so that the train is green, and the train is buckled according to the green train standard; and the fourth state condition is that the train corresponding to the vehicle is a green train except the red line, the orange line and the yellow line, and the vehicle does not need to be processed.
S4, generating the health state of the train according to the train state.
In an embodiment of the present invention, the generating the health status of the train according to the train status includes:
performing health calculation on the train according to the train state to obtain a health score;
and carrying out maintenance evaluation on the train by utilizing the health score to obtain the health state of the train.
In the embodiment of the invention, the health state of the train is determined by the health state of the vehicles forming the train. The health state of the vehicle is mainly determined by two parts of vehicle running mileage and vehicle deduction faults, and the health score of the vehicle can be calculated through the combination of the vehicle running mileage and the deduction faults according to the north traffic diagnostic model; the HCCBM data center performs color identification on the health states of the vehicle and the train according to the vehicle health score fed back by the diagnosis model and the vehicle residual mileage calculated by the HCCBM data center; the maintenance evaluation is specifically as follows: recommending temporary repair and healthy trains; the recommended temporary repair indicates the vehicle of which the health state of the train needs temporary buckling repair, and the judgment conditions are as follows: the train state is a red train or an orange train, the vehicle deduction is less than 60 minutes, the vehicle remaining mileage range is more than 10000KM, and when two conditions meet the conditions, the system can give a recommended temporary construction suggestion.
Example two
In order to more clearly understand the present invention, the case of generating the health status of the train according to the train status according to the embodiment of the present invention will be further explained by a second embodiment.
In an embodiment of the present invention, the generating the health status of the train according to the train status includes:
marking the train state to obtain change data;
and calculating the health score of the train according to the change data to obtain the health state of the train.
In the embodiment of the invention, the change mark can record information such as the color state change process and change reason of the secondary train and the vehicle by using a preset data center, and provide basic management data for subsequent data analysis; the health score can be obtained by checking the specific deduction reasons and the deduction scores of the typical faults of the vehicle through the change data of the data center, and adding the specific deduction reasons and the deduction scores of the typical faults of the vehicle, and the health state of the train is declared according to the preset scoring interval, for example, the vehicle deduction in an orange train is less than 60 points, and the health state of the vehicle with the remaining mileage range of more than 10000KM is recommended for temporary repair.
Example III
As shown in fig. 4, the present embodiment also provides a functional block diagram of an evaluation device for the health status of a railway wagon.
The railway wagon health state evaluation device 100 according to the present embodiment may be mounted in an electronic apparatus. The railway wagon health state evaluation device 100 may include a fault state identification determination module 101, a vehicle state identification determination module 102, a train state generation module 103, and a train health state generation module 104 according to the implemented functions. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the fault state identification judging module 101 is configured to obtain a vehicle fault classification rule, and judge an operation fault state identification according to the vehicle fault classification rule;
the vehicle state identification determining module 102 is configured to obtain a remaining mileage number of a vehicle, and determine a vehicle state identification according to the fault state identification and the remaining mileage number of the vehicle;
the train state generation module 103 is configured to divide a train state corresponding to the vehicle according to the vehicle state identifier;
the train health status generation module 104 is configured to generate a health status of the train according to the train status.
In detail, each module in the apparatus 100 for evaluating the health status of a railway wagon in the embodiment of the present invention adopts the same technical means as the method for evaluating the health status of a railway wagon in the first embodiment and the second embodiment, and can produce the same technical effects, which are not described herein.
Example IV
As shown in fig. 5, the present embodiment further provides a computer electronic device, which may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program stored in the memory 11 and executable on the processor 10, such as an evaluation program of the health status of a railway wagon.
The processor 10 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (CentralProcessingunit, CPU), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is a control unit (control unit) of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory 11 (for example, executing an evaluation program of the health status of a railway wagon, etc.), and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 11 may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a smart memory card (SmartMediaCard, SMC), a Secure Digital (SD) card, a flash card (FlashCard) or the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only for storing application software installed in an electronic device and various types of data, such as codes of an evaluation program of the health status of a railway wagon, etc., but also for temporarily storing data that has been output or is to be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
The communication interface 13 is used for communication between the electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (organic light-emitting diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Only an electronic device having components is shown, and it will be understood by those skilled in the art that the structures shown in the figures do not limit the electronic device, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The evaluation program of the health status of the railway wagon stored in the memory 11 of the electronic device is a combination of a plurality of instructions, which, when run in the processor 10, can realize:
acquiring a vehicle fault classification rule, and judging an operation fault state identifier according to the vehicle fault classification rule;
obtaining the remaining mileage of the vehicle, and judging the vehicle state identification according to the fault state identification and the remaining mileage of the vehicle;
dividing train states corresponding to the vehicles according to the vehicle state identifiers;
and generating the health state of the train according to the train state.
In particular, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.
Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM).
Example five
The present embodiment provides a storage medium storing a computer program which, when executed by a processor, implements the steps of the method of assessing the health of a railway wagon as described above.
These program code 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.
Storage media includes both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media may include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, read only compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
It is noted that the terms used herein are used merely to describe particular embodiments and are not intended to limit exemplary embodiments in accordance with the present application and when the terms "comprises" and/or "comprising" are used in this specification they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (ArtificialIntelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and expand human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A method for evaluating the health status of a railway wagon, the method comprising:
acquiring a vehicle fault classification rule, and judging an operation fault state identifier according to the vehicle fault classification rule;
obtaining the remaining mileage of the vehicle, and judging the vehicle state identification according to the fault state identification and the remaining mileage of the vehicle;
dividing train states corresponding to the vehicles according to the vehicle state identifiers;
and generating the health state of the train according to the train state.
2. The method for evaluating the health of a railway wagon according to claim 1, wherein the determining an operation failure state flag according to the vehicle failure classification rule includes:
obtaining a target vehicle, and scoring the target vehicle according to the vehicle fault classification rule to obtain a vehicle score;
and judging the fault state identification of the target vehicle according to the vehicle score.
3. The method of evaluating the health of a railway wagon of claim 2, wherein the determining the failure state identification of the target vehicle from the vehicle score includes:
when the accumulated deduction value of the vehicle score reaches a first preset score condition, judging that the fault state of the target vehicle is marked as a red line fault;
when the vehicle score accumulated deduction value reaches a second preset score condition, judging that the fault state of the target vehicle is marked as an orange fault;
and when the vehicle score accumulated deduction value reaches a third preset score condition, judging that the fault state of the target vehicle is marked as yellow fault.
4. The method for evaluating the health of a railway wagon according to claim 1, wherein the determining the vehicle state identifier based on the fault state identifier and the remaining mileage of the vehicle comprises:
setting conditions according to the fault state identification and the vehicle remaining mileage to obtain judging conditions;
and marking the vehicle by color according to the judging condition to obtain a vehicle state identifier.
5. The method for evaluating the health status of a railway wagon according to claim 1, wherein the classifying the train status corresponding to the vehicle according to the vehicle status identification comprises:
counting the number of the vehicle state identifiers to obtain statistical data;
and dividing the train states of the vehicles according to the statistical data to obtain train states corresponding to the vehicles.
6. The method for evaluating the health status of a railway wagon according to claim 5, wherein the step of dividing the train status of the railway wagon according to the statistical data to obtain the train status corresponding to the railway wagon comprises the steps of:
when the statistical data is in a first state condition, dividing a train state corresponding to the vehicle into a red line train;
when the statistical data is in the second state condition, dividing the train state corresponding to the vehicle into orange trains;
when the statistical data is in a third state condition, dividing the train state corresponding to the vehicle into yellow trains;
and when the statistical data is in a fourth state condition, dividing the train state corresponding to the vehicle into green trains.
7. The method for evaluating the health of a railway wagon of claim 1, wherein the generating the health of the train from the train status comprises:
performing health calculation on the train according to the train state to obtain a health score;
and carrying out maintenance evaluation on the train by utilizing the health score to obtain the health state of the train.
8. An assessment device for the health status of a railway wagon, the device comprising:
the fault state identification judging module is used for acquiring a vehicle fault classification rule and judging an operation fault state identification according to the vehicle fault classification rule;
the vehicle state identification judging module is used for acquiring the remaining mileage of the vehicle and judging the vehicle state identification according to the fault state identification and the remaining mileage of the vehicle;
the train state generation module is used for dividing train states corresponding to the vehicles according to the vehicle state identification;
and the train health state generation module is used for generating the health state of the train according to the train state.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of evaluating the health of a railway wagon as defined in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which program, when being executed by a processor, implements the method of evaluating the health of a railway wagon according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117437382A (en) * | 2023-12-19 | 2024-01-23 | 成都电科星拓科技有限公司 | Updating method and system for data center component |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117437382A (en) * | 2023-12-19 | 2024-01-23 | 成都电科星拓科技有限公司 | Updating method and system for data center component |
| CN117437382B (en) * | 2023-12-19 | 2024-03-19 | 成都电科星拓科技有限公司 | Updating method and system for data center component |
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