JP6192545B2 - Maintenance work planning system - Google Patents

Description

  The present invention relates to a maintenance work plan creation system.

  For maintenance work on railway lines, a maintenance work plan is selected by selecting a time zone and work range that does not hinder train operation, without disturbing train operation and ensuring the safety of workers. It is necessary to construct.

As a background art in this technical field, there is JP-A-2008-305227 (Patent Document 1). This gazette states, “At the time of maintenance work plan creation, it provides a means for extracting and selecting work time zones and work ranges in consideration of train schedule operation conditions and station equipment conditions. It provides means for facilitating the extraction and selection of combinations of train-interval candidates even at the time of input. "(See summary).

JP 2008-305227 A

  The maintenance plan for facilities on the current railway line is created by the work planner based on the number of years since the introduction of each facility and the results of periodic inspections. doing.

  For this reason, when the number of facilities to be maintained is large, the time required for planning and creation becomes long, the work load on the plan creator increases, and it becomes difficult to create an efficient maintenance work plan.

  In Patent Document 1, a maintenance work plan is provided for extracting and selecting a work time zone and a work range in consideration of train operation conditions for a maintenance work plan input by a user from the maintenance work plan terminal. There is a problem that the burden of planners on the formulation of

  An object of the present invention is to provide a maintenance work plan creation system capable of reducing a burden on a maintenance work planner and efficiently creating a maintenance work plan in consideration of train schedule operation conditions.

  In order to solve the above problems, for example, the configuration described in the claims is adopted. The present application includes a plurality of means for solving the above-described problems. To give an example, a train diagram DB that stores a train operation plan and an inspection record that stores inspection records of a plurality of facilities that are maintenance work targets. A storage having a DB, an equipment status record DB for storing the state of each equipment, a line section and a station to which each equipment belongs, and an equipment parameter DB for storing a predetermined weight corresponding to the state of each equipment. And a process for accepting a work schedule for performing maintenance work, an inspection record of each equipment in the inspection record DB, a state of each equipment in the equipment status result DB, and a state of each equipment in the equipment parameter DB A process for obtaining a failure coefficient of each facility on the basis of a process of reading a predetermined weight for, a value obtained by multiplying the state of each facility by the weight of the facility, and the inspection record, and the failure The process of extracting the equipment to be subjected to maintenance work from the number, the line zone and the station to which the extracted equipment belongs is read from the equipment status record DB, and the time zone in which the maintenance work of the equipment can be performed with reference to the train diagram DB And an arithmetic processing unit for performing a process of creating a maintenance work plan.

According to the present invention, it is an object of the present invention to provide a maintenance work plan creation system capable of reducing a burden on a maintenance work planner and creating a maintenance work plan in consideration of train schedule operation conditions.

It is an example of a block diagram of a maintenance work plan creation system. It is a figure showing the data structure and data example of train diagram DB. It is a figure showing the data structure of inspection record DB, and the example of data. It is a figure showing the data structure and data example of equipment status performance DB. It is a figure showing the data structure and data example of work schedule DB. It is a figure showing the data structure and example of data of maintenance work plan DB. It is an example of the flowchart explaining the process of a maintenance work plan creation system. It is an example of the flowchart explaining a maintenance work object equipment extraction process. It is an example of the hardware block diagram of a maintenance work plan server. It is a figure showing the data structure and data example of equipment parameter DB.

  Embodiments of the present invention will be described below with reference to the drawings.

  In this embodiment, an example of a maintenance work plan creation system will be described.

  First, the hardware configuration of a maintenance work plan server that creates a maintenance work plan will be described.

  FIG. 9 is a diagram illustrating a hardware configuration of the maintenance work plan server 110 that creates a maintenance work plan. The maintenance work plan server 110 includes a CPU 910, an input / output unit 920, a communication unit 930, a storage unit 940, a nonvolatile storage medium 950, and a bus 960.

The CPU 910 transfers the program from the nonvolatile storage medium 950 to the storage unit 940 and executes this program. The storage unit 940 is a temporary storage area for the CPU 910 to operate, and stores, for example, an operating system (hereinafter referred to as “OS”) and application programs transferred from the nonvolatile storage medium 950. Examples of the program executed by the CPU 910 include an OS and an application program that runs on the OS.

  The non-volatile storage medium 950 is an information storage medium, and stores an OS, an application program, a device driver, and a program for operating the CPU 910, and also stores an execution result of the program. Examples of the nonvolatile storage medium 950 include a hard disk drive (HDD), a solid state drive (SSD), and a flash memory. The nonvolatile storage medium 950 may be an easily removable external storage medium. As such an external storage medium, for example, a flexible disk (FD), an optical disk such as a CD or a DVD, a flash memory such as a USB memory or a compact flash (registered trademark) can be used.

  The communication unit 930 has a function of communicating with other devices connected via a network, and the input / output unit 920 has a function of performing input / output with the outside.

  The bus 960 connects the CPU 910, the input / output unit 920, the communication unit 930, the storage unit 940, and the nonvolatile storage medium 950. Examples of the bus 960 include a PCI bus, an ISA bus, a PCI Express bus, a system bus, and a memory bus.

  Next, the maintenance work plan creation system in the present embodiment will be described with reference to a functional block diagram.

  FIG. 1 is an example of a configuration diagram showing a maintenance work plan creation system in the present embodiment. The maintenance work plan creation system is a maintenance work plan server 110 that creates a maintenance work plan in response to a request from a user, a network 150, and equipment provided on a station side, such as a traffic light or a switch. A station equipment 160, a train schedule management device 170 that manages train schedules, and a terminal 180 that is used by a user and that outputs a maintenance work plan creation request to the maintenance work plan server 110 and displays the created result. Consists of

  The network 150 enables communication between the maintenance work plan server 110, the station equipment 160, the train schedule management device 170, and the terminal 180. The connection form is not limited as long as data handled by the apparatus of this embodiment can be transmitted and received. The terminal 180 is configured using a computer and includes an input unit 181 and a display unit 182.

  The maintenance work plan server 110 is configured using a computer, and includes an input / output unit 120 that performs external input and output, a storage unit 130 that stores various databases (hereinafter referred to as DB), and a storage unit 130. A processing unit 140 that creates a maintenance work plan using the DB stored in the database.

  The storage unit 130 is configured by using, for example, a hard disk, and stores a train diagram DB 131 that stores a train schedule acquired from the train diagram management device 170, and records past inspection records of each facility that is a target of inspection and maintenance work. An inspection record DB 132 to be stored, an equipment parameter DB 136 to store predetermined parameters for each equipment, an equipment status result DB 133 to store the status of each equipment, a work schedule DB 134 to store work schedules of workers performing maintenance work, were created A maintenance work plan DB 135 that stores maintenance work plans is held.

In addition, the processing unit 140 is a data stored in the workable time extraction unit 141 that extracts the time during which maintenance work can be performed from the train schedule diagram of the train diagram DB, the inspection record DB, the equipment parameter DB, and the equipment state performance DB. Work target equipment extraction unit 142 that extracts equipment to be subjected to maintenance work from, work extraction unit 143 that extracts workers performing maintenance work from the work schedule of the work schedule DB, workable time extraction unit 141 and work target A maintenance work plan creation unit 144 that creates a maintenance work plan based on information obtained by the facility extraction unit 142 and the worker extraction unit 143 is provided. Details of processing in each unit will be described later.
In this embodiment, the workable time extraction unit 141, the work target facility extraction unit 142, the worker extraction unit 143, and the maintenance work plan creation unit 144 are described as programs executed by the processing unit 140 in one server. These can be assembled in a separate server for each function.

  Next, an example of the data structure and data of each DB held in the storage unit 130 by the maintenance work plan server 110 will be described.

  FIG. 2 is a diagram illustrating a data structure and data example of the train diagram DB 131. In the train schedule DB 131, a schedule scheduled for future operation is displayed for each train day, train number, train information such as line section, train type, etc. Stores station information such as time as a train schedule. For example, in Fig. 2, as train schedule information on May 5, 2013, train number 1A is an ordinary train down the M line, arrives at A line 1 at station A, and departs at 6:05. This means that you will pass through line 2 of station B at 6:15. The train schedule is used for extracting workable time zones.

  FIG. 3 is a diagram illustrating a data structure and data example of the inspection record DB 132. The inspection record DB 132 holds, for each facility, the date of the most recent inspection performed, the station to which the facility belongs, and the inspection result as inspection records. For example, in FIG. 3, equipment number 0001 indicates that an inspection is performed at station A on April 5, 2013, and the inspection result is not possible.

  FIG. 4 is a diagram illustrating an example of the data structure and data of the equipment state result DB 133. For each piece of equipment, the equipment number, equipment name, introduction station, line section, introduction date, number of trouble occurrences, failure coefficient prediction date, and failure coefficient predicted by the work target equipment extraction unit 142 are held as equipment status results. For example, in Fig. 4, the equipment name of equipment number 0001 is 1LT, and it was installed at station A on the M line ward on May 5, 2011. There have been 8 problems so far. The failure coefficient prediction on the 13th indicates that the failure coefficient was predicted to be 0.98. The inspection record and the equipment state result are used for failure coefficient prediction and maintenance work target equipment extraction for each equipment. In this embodiment, the equipment includes a track circuit, a traffic light, a tipping machine, a direction lever, and the like, and the equipment status record DB 133 defines equipment names so that each equipment can be identified.

  FIG. 5 is a diagram illustrating an example of the data structure and data of the work schedule DB 134. Daily maintenance workers and work contents for each hour are kept as a work schedule. For example, in FIG. 5, as work content on May 5, 2013, worker 1 performs operation 1000 from 0:30 to 2:10, worker 2 is paid, and worker 4 is from 0:20 to 4 : 50 represents performing operations 9121 and 9122. FIG. 6 is a diagram illustrating an example of the data structure and data of the maintenance work plan DB 135. For each scheduled work plan, for each scheduled work plan, basic information such as work number, work type, worker, equipment information such as target station and target equipment, start train, end train, and work time And so on. For example, in FIG. 6, on May 5, 2013, the work number 2121 indicates that the worker 5 performs equipment replacement work. Specifically, the worker 5 performs the replacement work of the facilities 1LT and 2LT from the time 1:16 when the interim start train 1F departs at the station A to the time 6:05 when the interim end train 1A arrives. .

  FIG. 10 is a diagram illustrating an example of the data structure and data of the equipment parameter DB 136. In the equipment parameter DB 136, a coefficient used when obtaining a failure coefficient described later and a threshold value are managed for each equipment. Specifically, an elapsed day weighting factor α that represents weighting for the number of days elapsed since the introduction date of the facility, a threshold β for the elapsed day, a failure number weighting factor γ that represents weighting for the number of failures of the facility so far, and the number of failures The threshold value δ is preset for each facility. A method for calculating the failure coefficient using these parameters will be described later.

  Next, an outline of the flow of processing in the maintenance work plan creation system in the present embodiment will be described with reference to the drawings.

  FIG. 7 is a flowchart showing the flow of processing in the maintenance work plan creation system. First, a user inputs a creation start date, a creation end date, and a maintenance work plan creation request using a terminal.

  In step S710, the work target facility extraction unit 142 extracts a work target facility.

  FIG. 8 is a flowchart showing the flow of maintenance work target facility extraction processing. In steps 810 to 850, the processing in steps 820 to 840 is repeated for the number of facilities registered in the facility status record DB 133.

  In step 820, the failure coefficient of each facility is predicted based on the inspection record and the facility state result, and the failure coefficient is stored in the facility state result DB 133 together with the predicted date. In equipment failure coefficient prediction, the inspection date and inspection result of the target equipment are extracted from the inspection record DB 132, and the number of days from the inspection date to the plan creation request date is calculated. Next, the date of introduction and the number of occurrences of defects are taken out from the equipment status record DB 133, and the number of days from the introduction date to the plan creation request date is calculated. Based on the number of days from the inspection date, the inspection result, the number of days from the introduction date, and the number of failures, the failure coefficient of the target equipment is calculated, and the predicted date and the failure coefficient are recorded in the equipment condition result DB 133.

The failure coefficient is obtained by Equation 1, and increases as the weight of the inspection result, the number of days from the introduction date, or the number of occurrences of failures increases, and indicates that the corresponding facility requires maintenance work.

Failure coefficient = inspection result + α (elapsed days / β) + γ (number of occurrences of failure / δ) Equation 1

  In Expression 1, the test result is 0.2 for good, 0.4 for good, 0.6 for good, and 0.8 for bad. In addition, α, β, γ, and δ each use a predetermined value in the equipment parameter DB 136 (FIG. 10), and the elapsed days are the days from the introduction date of the equipment to the plan creation request date. However, when (elapsed days / β) and (defect occurrence count / δ) are 1 or more, calculation is performed so that the values of 1 or more are rounded down. That is, when the elapsed days and the number of occurrences of defects exceed the threshold β for the elapsed days and the threshold δ for the number of defects, the terms (elapsed days / β) and (number of occurrences of defects / δ) are replaced with 1.

  For example, a case will be described in which the failure coefficient is obtained for the equipment of equipment number 0001 with a plan creation start date of May 5, 2013. In the equipment parameter DB 136 (FIG. 10), as the equipment number 0001 parameters, the elapsed day weight coefficient α = 0.1, the elapsed day threshold value β = 365 days, the failure frequency weight coefficient γ = 0.1, and the failure frequency threshold δ = 10 times. It has been. The number of days from the installation date of equipment 0001 is 730 days (Fig. 4), and the number of days from the installation date exceeds the threshold β = 365 days, so the value of (Elapsed Days / β) is replaced with 1, / Δ) is 8/10 = 0.8. Therefore, the failure coefficient of the facility 0001 is calculated as 0.8 (FIG. 3) + 0.1 × 1 + 0.1 × 0.8 = 0.98.

  In step 830, it is determined whether the failure coefficient is larger than a preset threshold value. If it is larger, the equipment is extracted as a maintenance work target equipment in step 840, and if it is less than the threshold value, the next equipment is targeted in step 820. Return. For example, if the failure coefficient threshold value is 0.650, the equipment 0001 exceeds the threshold value, so the equipment failure coefficient of the next equipment 0002 is predicted.

  In step S720, the workable time extraction unit 141 extracts a time zone during which maintenance work can be performed in each schedule from the creation start date to the end date. The time zone in which maintenance work is obtained from the train schedule DB 131 is a time zone during which the train is not traveling at the corresponding station. For example, the maintenance time zone of the target station A station of the equipment 0001 on May 5, 2013 is the time zone 1:16 to 6:05 from the arrival of the train 1A to the departure.

  In step S730, the worker extraction unit 143 extracts maintenance workers who can work in each schedule from the creation start date to the end date and in the extraction time zone. For example, the maintenance worker who can work in the time zone 1:16 to 6:05 is the worker 5.

  Next, in step 740, the maintenance work plan creation unit 144 uses the work target equipment, the workable time, the worker, and the data of the maintenance work plan DB 135, from the creation start date to the end date. Create and register a maintenance work plan that is consistent with other maintenance work plans. For example, in the same maintenance work plan, there is a contradiction in the plan where the equipment to be worked on is far from the equipment and the work cannot be completed within the working time, or the plan to perform maintenance work on the same equipment on the same day. Because it is a plan, do not create it.

  In addition, the priority order when creating a maintenance work plan is as follows.

[Priority when creating a maintenance work plan]
(1) Create a maintenance work plan in order from the equipment with the higher failure coefficient.
(2) Create a plan with earlier maintenance date and time for the equipment.

  In step 750, the display unit 182 extracts the data from the storage unit 130 and outputs the data to a display device (display device) such as a CRT (cathode ray tube) or LCD (liquid crystal display).

  As described above, according to the present invention, according to a user's maintenance work plan creation request, the failure coefficient of the equipment is predicted, and based on the failure coefficient, the operation conditions of the train schedule are taken into account, and the specified period It is possible to provide a means for automatically creating a maintenance work plan for a minute.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described.

  Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files that realize each function can be stored in a memory, a recording device such as an HHD or SSD, or a recording medium such as an IC card, SD card, or DVD.

Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

110 Maintenance work plan server 120 Input / output unit 130 Storage unit 131 Train diagram DB
132 Inspection record DB
133 Equipment status record DB
134 Work schedule DB
135 Maintenance work plan DB
136 Equipment parameter DB
140 Processing Unit 141 Workable Time Extraction Unit 142 Work Target Facility Extraction Unit 143 Worker Extraction Unit 144 Maintenance Work Plan Creation Unit 150 Network 160 Station Equipment 170 Train Diagram Management Device 180 Terminal 181 Input Unit 182 Display Unit

Claims (6)

Train schedule DB for storing train operation plans, inspection record DB for storing inspection records of a plurality of facilities to be maintained, facilities for each facility, and facilities for storing line districts and stations to which each facility belongs A storage unit having a state performance DB and a facility parameter DB that stores predetermined weights corresponding to the state of each facility;
A process of accepting a work schedule for performing maintenance work;
A process of reading the inspection record of each facility in the inspection record DB, the state of each facility in the facility state performance DB, and the predetermined weight for the state of each facility in the facility parameter DB;
A process for determining the failure coefficient of each facility based on the value obtained by multiplying the state of each facility by the weight of the facility and the inspection record;
A process of extracting equipment to be subjected to maintenance work from the failure coefficient;
A process of reading a line zone and a station to which the extracted equipment belongs from the equipment state performance DB, extracting a time zone in which the maintenance work of the equipment can be performed with reference to the train diagram DB, and creating a maintenance work plan;
A maintenance work plan creation system comprising: The calculation processing unit according to claim 1, wherein the first state of each facility is multiplied by the first weight of the facility and the second state of each facility is multiplied by the second weight of the facility. A maintenance work plan creation system that performs processing for obtaining a failure coefficient of each facility based on the value and the inspection record. In claim 1,
The state of each facility includes the number of years since each facility was introduced,
The said arithmetic processing part is a maintenance work plan preparation system which calculates | requires a failure coefficient so that the said equipment may be extracted to a maintenance work object preferentially, so that the elapsed years of each equipment are long. In claim 1,
The state of each facility includes the number of occurrences of failures that each facility has occurred in the past,
The said arithmetic processing part is a maintenance work plan preparation system which calculates | requires a failure coefficient so that the said equipment may be preferentially extracted to a maintenance work object, so that the frequency | count of the malfunction which arose in the past of each equipment increases. In claim 1,
The storage unit further includes a work schedule DB for storing a work schedule of a worker performing maintenance work,
The arithmetic processing unit creates a maintenance work plan by associating a worker who performs maintenance work in a time zone in which maintenance work of each facility can be performed based on the work schedule DB. . The claim 1, further comprising:
A maintenance work plan creation system having a terminal connected to a server including the arithmetic processing unit via a network, requesting a work schedule for performing maintenance work to the server, and displaying a maintenance work plan created by the server.