CN111105067A - Equipment matching scheduling method based on GIS map - Google Patents
Equipment matching scheduling method based on GIS map Download PDFInfo
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- CN111105067A CN111105067A CN201911036608.9A CN201911036608A CN111105067A CN 111105067 A CN111105067 A CN 111105067A CN 201911036608 A CN201911036608 A CN 201911036608A CN 111105067 A CN111105067 A CN 111105067A
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- 238000007689 inspection Methods 0.000 claims abstract description 11
- 238000012423 maintenance Methods 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000010276 construction Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 238000007792 addition Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to the field of equipment scheduling, in particular to an equipment matching scheduling method based on a GIS map, which comprises the following steps: calculating to obtain the average fault interval time T of each equipment according to the fault information of each equipment in the using processInterval i(ii) a Calculating the year number Yi of each equipment from the next overhaul date according to the overhaul date of each equipment; according to mean time between failures T of each equipmentInterval iAnd the number of years from the next inspection date YiAnd calculating to obtain the optimal selection value of each equipment through the optimal selection model of the equipment, and selecting the equipment with the maximum optimal selection value for scheduling. The invention has the following beneficial effects: the equipment fully considers the mean time between failures and the years from the next overhaul date before matching and scheduling, thereby obtaining the optimal equipment and reducing the equipmentThe efficiency of the failure occurs in the process of ex-warehouse use, and meanwhile, the delay of maintenance in the use process is avoided.
Description
Technical Field
The invention relates to the field of equipment scheduling, in particular to an equipment matching scheduling method based on a GIS map.
Background
In the power grid infrastructure construction process, a large amount of mechanical construction equipment is usually used, and under the condition, equipment management departments of power transmission and transformation engineering companies need to accurately and timely coordinate and schedule related equipment facilities to transport the equipment facilities to engineering sites, so that the engineering construction is smoothly, safely and efficiently carried out.
In the existing actual working process, the equipment management department door usually randomly selects corresponding construction equipment for matching scheduling, and then the construction equipment often has problems such as faults in the construction process.
Disclosure of Invention
In order to solve the problems, the invention provides an equipment matching scheduling method based on a GIS map.
A GIS map-based equipment matching scheduling method comprises the following steps:
calculating to obtain the average fault interval time T of each equipment according to the fault information of each equipment in the using processInterval i；
Calculating the year number Yi of each equipment from the next overhaul date according to the overhaul date of each equipment;
according to mean time between failures T of each equipmentInterval iAnd the number of years from the next inspection date YiBy optimally selecting models of the equipment
Calculating to obtain an optimal selection value of each device, and selecting the device with the maximum optimal selection value for scheduling, wherein K is a constant; a is a weight coefficient of the mean time between failures; b is a weight coefficient of the number of years from the next inspection date.
Preferably, the mean time between failures T of each equipment is calculated according to the failure information of each equipment in the using processInterval iThe method comprises the following steps:
according to the fault information of each equipment in the using process, the fault times N of each equipment and the working duration T of each equipment which is put into use again after each fault is repaired are obtainedDuration i；
According to the duration of each work time T put into use again after each fault repairDuration iCalculating the total working time T of each equipmentGeneral assembly；
Calculating to obtain the mean time between failures of each equipment
Preferably, the mean time between failures T of each equipment is calculated according to the failure information of each equipment in the using processSpaceriThe method also comprises the following steps:
and selecting the equipment in the period of occasional failure as the equipment to be preferentially selected according to the fault rate bathtub curve of the equipment.
Preferably, the method further comprises the following steps:
the method comprises the steps of obtaining the inventory quantity of replaceable parts of each device and the purchase period of the replaceable parts, calculating the adequacy of each replaceable part, and when the adequacy corresponding to the device with the maximum optimal selection value is lower than a set threshold, selecting the device with the next largest optimal selection value until the adequacy corresponding to the device is larger than the set threshold.
Preferably, the equipment is provided with a GPS positioning module, and the running track of each equipment is generated through the GPS positioning module and displayed on a GIS map.
The invention has the following beneficial effects:
the average fault interval time and the years from the next overhaul date of the equipment are fully considered before the equipment is matched and scheduled, so that the optimal equipment is obtained, the efficiency of the equipment in the process of ex-warehouse use is reduced, and delay in overhaul in the process of use is avoided.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a flowchart of an equipment matching scheduling method based on a GIS map according to an embodiment of the present invention;
fig. 2 is a flowchart of step S2 in the method for matching and scheduling equipment based on a GIS map according to an embodiment of the present invention;
fig. 3 is a fault rate bathtub curve diagram of equipment in an equipment matching scheduling method based on a GIS map according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be further described below with reference to the accompanying drawings, but the present invention is not limited to these embodiments.
An embodiment of the present invention provides an equipment matching scheduling method based on a GIS map, as shown in fig. 1, including:
s1: root of herbaceous plantCalculating to obtain the average fault interval time T of each equipment according to the fault information of each equipment in the using processInterval i；
S2: calculating the year number Yi of each equipment from the next overhaul date according to the overhaul date of each equipment;
s3: according to mean time between failures T of each equipmentInterval iAnd the number of years from the next inspection date YiBy optimally selecting models of the equipment
Calculating to obtain an optimal selection value of each device, and selecting the device with the maximum optimal selection value for scheduling, wherein K is a constant; a is a weight coefficient of the mean time between failures; b is a weight coefficient of the number of years from the next inspection date.
The fault information of each device in the using process comprises the following steps: and in the using process, the fault feedback of a user, the detection and maintenance results of equipment and the like are carried out. At the same time, the time of each failure of each equipment will also be recorded. Specifically, as shown in fig. 2, step S1 includes the following steps:
s11: according to the fault information of each equipment in the using process, the fault times N of each equipment and the working duration T of each equipment which is put into use again after each fault is repaired are obtainedDuration i；
S12: according to the duration of each work time T put into use again after each fault repairDuration iCalculating the total working time T of each equipmentGeneral assembly；
S13: calculating to obtain the mean time between failures of each equipment
The next detection date of each equipment is acquired through the existing periodic maintenance date, and equipment which can be subjected to preventive maintenance or third-party delivery inspection in the use period is excluded under the same condition, preferably equipment with a far next detection date, so that delivery inspection or warehouse returning maintenance in the use period is avoided, and the use rate of field equipment is improved.
Establishing an optimal selection model
Wherein K is a constant; a is a weight coefficient of the mean time between failures; b is a weight coefficient of the number of years from the next inspection date.
According to mean time between failures T of each equipmentInterval iAnd the number of years from the next inspection date YiAnd calculating to obtain the optimal selection value of each equipment through the optimal selection model H of the equipment, and selecting the equipment with the maximum optimal selection value for scheduling.
In an embodiment, before step S1, the method further includes the steps of: s0: and selecting the equipment in the period of occasional failure as the equipment to be preferentially selected according to the fault rate bathtub curve of the equipment.
Each kind of equipment has its own fault rate bathtub curve, as shown in fig. 3, the fault rate bathtub curve, i.e. the failure rate of the equipment, has different characteristics with the change of the working time, according to the long-term theoretical research and data statistics, most of the equipment failure rate curves are found to be the same as the section of the bathtub, and the section is obviously divided into three sections, which are respectively used for three different stages or periods of the components. The fault rate bathtub curve is divided into an early failure period, a sporadic failure period and a wear failure period. The failure rate of the early failure period and the wear failure period is higher than that of the accidental failure period, so that equipment in the accidental failure period is preferentially selected, and the equipment is less prone to failure in the using process.
In one embodiment, the equipment matching scheduling method based on the GIS map further includes:
the method comprises the steps of obtaining the inventory quantity of replaceable parts of each device and the purchase period of the replaceable parts, calculating the adequacy of each replaceable part, and when the adequacy corresponding to the device with the maximum optimal selection value is lower than a set threshold, selecting the device with the next largest optimal selection value until the adequacy corresponding to the device is larger than the set threshold.
The equipment with high adequacy of replaceable parts is preferably selected under the same conditions, so that the equipment can be quickly repaired in case of equipment failure, and adverse effects are avoidedThe noise is reduced to the minimum. When equipment is dispatched, because the inventory of the parts is related to the inventory of the parts through the equipment, the inventory A of the parts and the replaceable parts thereof is automatically inquired and the purchasing period T is combinedProcurementAnd comprehensively evaluating the adequacy of equipment accessories, and preferably selecting the equipment with abundant accessories.
Wherein, the adequacy is calculated as:
adequacy M is stock quantity A.c + purchasing period TProcurement·d，
Wherein c represents a weight coefficient of the stock quantity A, d represents a procurement period TProcurementThe weight coefficient of (2).
And taking the adequacy and the optimal selection value as conditions for matching and scheduling the equipment, and when the adequacy corresponding to the equipment with the maximum optimal selection value is lower than a set threshold, selecting the equipment with the next largest optimal selection value until the adequacy corresponding to the equipment is larger than the set threshold. The matching scheduling method fully considers the failure factor, the next detection date factor and the adequacy factor of the equipment, so that the equipment obtained by final matching is more reasonable.
In one embodiment, each equipment is provided with a GPS positioning module, and the running track of each equipment is generated through the GPS positioning module and displayed on a GIS map.
The equipment of the installed GPS positioning module is managed by GPS signals, the equipment tracks are tracked according to the positioning information of the GPS positioning module, and meanwhile, the equipment tracks are displayed on a GIS map of a visual end to realize track type tracking and inquiry, so that the equipment track use major event management is realized. In addition, the key events such as the use duration, engineering, places and the like of the equipment from the warehouse-out to the warehouse-in are recorded and displayed.
Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Claims (5)
1. A GIS map-based equipment matching scheduling method is characterized by comprising the following steps:
calculating to obtain the average fault interval time T of each equipment according to the fault information of each equipment in the using processInterval i；
Calculating the year number Yi of each equipment from the next overhaul date according to the overhaul date of each equipment;
according to mean time between failures T of each equipmentInterval iAnd the number of years from the next inspection date YiBy optimally selecting models of the equipment
Calculating to obtain an optimal selection value of each device, and selecting the device with the maximum optimal selection value for scheduling, wherein K is a constant; a is a weight coefficient of the mean time between failures; b is a weight coefficient of the number of years from the next inspection date.
2. The GIS map-based equipment matching scheduling method of claim 1, wherein the mean time between failures (T) of each equipment is calculated according to the failure information of each equipment in the using processInterval iThe method comprises the following steps:
according to the fault information of each equipment in the using process, the fault times N of each equipment and the working duration T of each equipment which is put into use again after each fault is repaired are obtainedDuration i；
According to the duration of each work time T put into use again after each fault repairDuration iCalculating the total working time T of each equipmentGeneral assembly；
Calculating to obtain the mean time between failures of each equipment
3. The GIS map-based equipment matching scheduling method of claim 1, wherein the equipment is matched according to the accident of each equipment in the using processFault information, calculating to obtain average fault interval time T of each equipmentInterval iThe method also comprises the following steps:
and selecting the equipment in the period of occasional failure as the equipment to be preferentially selected according to the fault rate bathtub curve of the equipment.
4. The GIS map-based equipment matching scheduling method of claim 1, further comprising:
the method comprises the steps of obtaining the inventory quantity of replaceable parts of each device and the purchase period of the replaceable parts, calculating the adequacy of each replaceable part, and when the adequacy corresponding to the device with the maximum optimal selection value is lower than a set threshold, selecting the device with the next largest optimal selection value until the adequacy corresponding to the device is larger than the set threshold.
5. The GIS map-based equipment matching scheduling method of claim 1, wherein the equipment is equipped with a GPS positioning module, and the running track of each equipment is generated by the GPS positioning module and displayed on the GIS map.
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| CN201911036608.9A CN111105067B (en) | 2019-10-29 | 2019-10-29 | Equipment matching scheduling method based on GIS map |
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