CN112070247A - Management method, device, medium and electronic equipment of operation and maintenance grid - Google Patents

Management method, device, medium and electronic equipment of operation and maintenance grid Download PDF

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Publication number
CN112070247A
CN112070247A CN202010903181.4A CN202010903181A CN112070247A CN 112070247 A CN112070247 A CN 112070247A CN 202010903181 A CN202010903181 A CN 202010903181A CN 112070247 A CN112070247 A CN 112070247A
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maintenance
workload
plot
seed
plots
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杨磊
蔡茜
田春艳
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Shanghai Junzheng Network Technology Co Ltd
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Shanghai Junzheng Network Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0645Rental transactions; Leasing transactions
    • G06Q50/40

Abstract

The invention discloses a management method, a management device, a management medium and electronic equipment of an operation and maintenance grid. The method comprises the following steps: acquiring a city plot of a target city; calculating the workload of each urban plot according to a predetermined load factor and load weight; and determining a seed plot according to the workload of the city plot, and integrating the operation and maintenance grids of the seed plot by adopting a region growing algorithm until the integration result meets the preset condition to obtain the operation and maintenance grids of the target city. According to the technical scheme disclosed by the invention, the operation and maintenance grid planning can comprehensively consider the workload of operation and maintenance personnel according to the travel demands of urban residents and the distribution of vehicles, so that balanced, refined and intelligent grid planning is realized, and the operation and maintenance personnel can determine the respective workload according to the division of the operation and maintenance grid, thereby ensuring the operation and maintenance efficiency and the coverage degree of vehicle resources.

Description

Management method, device, medium and electronic equipment of operation and maintenance grid
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method, an apparatus, a medium, and an electronic device for managing an operation and maintenance grid.
Background
With the development of economy, shared travel is accepted by the public as an urban-assisted travel mode.
Shared bicycle and shared vehicle using motor are when promoting resident's trip convenience, and the whole looks of city street is also seriously influenced to putting and distributing of its vehicle. The workload distribution of the shared bicycle and the shared moped operation and maintenance staff is unbalanced, for example, some operation and maintenance staff have too high workload and some operation and maintenance staff are idle, so that the service supply and the operation and maintenance capacity cannot keep up with the operation and maintenance requirements, the utilization efficiency of vehicle resources is restricted, and the enthusiasm of the operation and maintenance staff, the operation and maintenance effect and the urban public environment are influenced.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the technical problem to be solved by the present invention is to unbalance workload distribution between the shared bicycle and the shared moped operation and maintenance staff, for example, some operation and maintenance staff have too high workload and some operation and maintenance staff are idle. Therefore, the scheme provides a management method, a management device, a management medium and electronic equipment of the operation and maintenance grid. The operation and maintenance grid planning is realized by comprehensively considering the workload of operation and maintenance personnel according to the travel demands of urban residents and the distribution of vehicles, and realizing balanced, refined and intelligent grid planning. And then the operation and maintenance staff can determine the respective workload according to the division of the operation and maintenance grid. Thereby ensuring the operation and maintenance efficiency and the coverage degree of vehicle resources.
In order to achieve the purpose, the invention provides a management method, a management device, a management medium and electronic equipment of an operation and maintenance grid.
In a preferred embodiment of the present invention, an embodiment of the present application provides a method for managing an operation and maintenance grid, where the method includes:
acquiring a city plot of a target city;
calculating the workload of each urban plot according to a predetermined load factor and load weight;
and determining a seed plot according to the workload of the city plot, and integrating the operation and maintenance grids of the seed plot by adopting a region growing algorithm until the integration result meets the preset condition to obtain the operation and maintenance grids of the target city.
Further, the loading factor includes: finding lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing unclosed vehicles, processing electric shortage vehicles, processing zero electric vehicles, inspecting station number and operating vehicle number;
the load weight determination process comprises the following steps:
respectively obtaining the weight of each load factor;
weighting the load factors to obtain the load weight of each load factor; wherein the sum of all load weights is 1.
Further, the step of calculating the workload of each urban land parcel according to a predetermined load factor and load weight includes:
calculating the types of the load factors and the quantity of the load factors contained in each urban land parcel;
and determining the workload of each urban land parcel according to the quantity of each load factor and the load weight of each load factor.
Further, the step of determining a seed plot according to the workload of the urban plot includes:
and taking the city plot with the minimum workload as the seed plot.
Further, the step of performing operation and maintenance grid integration on the seed plots by using a region growing algorithm until an integration result meets a preset condition to obtain the operation and maintenance grid of the target city includes:
and integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the workload of the integrated operation and maintenance grids is within a preset workload interval to obtain the operation and maintenance grids of the target city.
Further, the step of performing operation and maintenance grid integration by using a region growing algorithm includes:
determining the workload of the urban plots adjacent to the seed plots;
and if the sum of the workload of the seed plot and the workload of the adjacent urban plots is within a preset workload interval, merging the seed plot and the adjacent urban plots to obtain the dimensional grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
continuing to select the city plot with the minimum workload from the rest city plots as the seed plot;
integrating the seed plots by adopting the region growing algorithm to obtain the operation and maintenance grid;
and repeating the steps until all the urban plots belong to the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
and if the workload of the rest urban plots is not within the preset workload interval, merging the urban plots to the operation and maintenance grid adjacent to the operation and maintenance grid with the lowest workload.
In another preferred embodiment of the present invention, an operation and maintenance grid management apparatus is provided in the embodiments of the present application, and the apparatus includes:
the city plot acquisition module is used for acquiring a city plot of a target city;
the urban land mass working capacity calculation module is used for calculating the working capacity of each urban land mass according to a predetermined load factor and load weight;
and the operation and maintenance grid integration module is used for determining the seed plots according to the workload of the city plots, and performing operation and maintenance grid integration on the seed plots by adopting a region growing algorithm until the integration result meets the preset condition to obtain the operation and maintenance grid of the target city.
Optionally, the apparatus is further configured to:
the loading factor includes: finding lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing unclosed vehicles, processing electric shortage vehicles, processing zero electric vehicles, inspecting station number and operating vehicle number;
the load weight determination process comprises the following steps:
respectively obtaining the weight of each load factor;
weighting the weight to obtain the load weight of each load factor; wherein the sum of all load weights is 1.
Further, the step of calculating the workload of each urban land parcel according to a predetermined load factor and load weight includes:
calculating the types of the load factors and the quantity of the load factors contained in each urban land parcel;
and determining the workload of each urban land parcel according to the quantity of each load factor and the load weight of each load factor.
Further, the step of determining a seed plot according to the workload of the urban plot includes:
and taking the city plot with the minimum workload as the seed plot.
Further, the step of integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the integration result meets a preset condition to obtain the operation and maintenance grids of the target city includes:
and integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the workload of the integrated operation and maintenance grids is within a preset workload interval to obtain the operation and maintenance grids of the target city.
Further, the operation and maintenance grid integration step of the seed plot by adopting a region growing algorithm comprises the following steps:
determining the workload of the urban plots adjacent to the seed plots;
and if the sum of the workload of the seed plot and the workload of the adjacent urban plots is within a preset workload interval, merging the seed plot and the adjacent urban plots to obtain the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
continuing to select the city plot with the minimum workload from the rest city plots as the seed plot;
integrating the seed plots by adopting the region growing algorithm to obtain the operation and maintenance grid;
and repeating the steps until all the urban plots belong to the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
and if the workload of the rest urban plots is not within the preset workload interval, merging the urban plots to the operation and maintenance grid adjacent to the operation and maintenance grid with the lowest workload.
In another preferred embodiment of the present invention, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a management method of an operation and maintenance grid according to the present application.
In another preferred embodiment of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable by the processor, and when the processor executes the computer program, the processor implements the management method of the operation and maintenance grid according to the embodiment of the present invention.
The technical scheme provided by the invention has the following technical effects:
the invention is suitable for the management operation of the operation and maintenance grid, and provides a vehicle operation and maintenance grid construction method based on a grid management concept, so that the operation and maintenance workload among different operation and maintenance personnel is more balanced, and the aim of improving the overall operation and maintenance capacity of the system is fulfilled.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
Fig. 1 is a schematic diagram of a management method of an operation and maintenance grid according to an embodiment of the present application;
FIG. 2 is a diagram illustrating a management process of an operation and maintenance grid according to an embodiment of the present application;
fig. 3 is a schematic diagram of a management apparatus of an operation and maintenance grid according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
Some exemplary embodiments of the invention have been described for illustrative purposes, and it is to be understood that the invention may be practiced otherwise than as specifically described.
Generally, in a target city, an enterprise may simultaneously launch a shared bicycle and a shared moped. Specifically, the moped can be powered by a storage battery, so that a user can ride the moped by the aid of the power assisting device in the riding process. The bicycle may be a vehicle for the user to ride manually.
Because the shared vehicle needs to be maintained in the using process, the workload distribution of operation and maintenance workers is unbalanced, the service supply and operation and maintenance capacity cannot keep up with the travel demand, and the utilization efficiency of vehicle resources is restricted. In order to avoid the problems that the distribution work of operation and maintenance personnel is balanced and the whole operation and maintenance quality is difficult to control, the scheme provides a scheme for dividing the operation and maintenance city into operation and maintenance grids and carries out corresponding operation and maintenance operation according to the operation and maintenance grids.
Fig. 1 is a schematic diagram of a management method of an operation and maintenance grid according to an embodiment of the present application, where the embodiment is applicable to operation and maintenance management. As shown in fig. 1, in an embodiment, the method for managing an operation and maintenance grid includes:
and S110, acquiring the city plot of the target city.
The target city refers to a city where shared single vehicles and/or shared power-assisted vehicles are thrown. In the scheme, the urban land parcel refers to a smallest polygon formed by interleaving urban branches. The server may obtain the city branch of the target city from third-party software (e.g., a high-end map, a Baidu map, etc.), and then obtain the city plot according to the city branch.
In other embodiments, roads may be regarded as dividing lines, and places such as cells, office buildings, and shopping malls may be divided into polygons, so that each polygon may be determined as a city plot. It is understood that the urban plots may be divided by other means. Since the roads themselves have different grades, for example, the roads can be divided into expressways, main roads, secondary roads and branch roads, and the branch roads can be used as dividing lines.
And S120, calculating the workload of each urban land block according to the predetermined load factor and load weight.
The vehicle operation and maintenance work of the shared bicycle and the shared moped mainly comprises the following steps: the method comprises the steps of finding out lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing non-locked vehicles, processing electric shortage vehicles (suitable for sharing the moped), and processing zero electric vehicles (suitable for sharing the moped). In addition, the number of stations and operating vehicles to be inspected in an area also affects the workload of operation and maintenance personnel. Therefore, in the present application, the operation and maintenance work can be attributed to the load factor that affects the operation and maintenance workload. That is, the loading factor includes: finding lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing unclosed vehicles, processing electric shortage vehicles, processing zero electric vehicles, polling station numbers and operating vehicle numbers. Wherein, the processing of the electric lack car and the processing of the zero electric car can be suitable for the condition of sharing the moped, and other seven load factors can be suitable for the condition of sharing the bicycle and the sharing the moped.
Due to different types of load factors, the workload of operation and maintenance personnel for completing the operation and maintenance work of the load factors is different. Therefore, a different workload weight, i.e., a load weight, needs to be set for each load factor.
In this embodiment, the load weight corresponding to each load factor is shown in table 1:
TABLE 1 load factor and load weight corresponding table
Load factor Weight of load
1 Vehicle for finding lost connection 0.530668
2 Fault handling vehicle 0.049524
3 Vehicle for processing user fault report 0.055519
4 Vehicle for processing idle articles 0.072186
5 Handle not shutting car 0.068241
6 Handling of electric shortage vehicles 0.09664
7 Zero electric car processing 0.079664
8 Number of inspection stations 0.045488
9 Number of operating vehicles 0.00207
Specifically, in this embodiment, the determining process of the load weight includes:
respectively obtaining the weight of each load factor; specifically, in the actual operation and maintenance work, an operation and maintenance work order is generated every time an operation and maintenance worker handles one operation and maintenance work. For example, a lost vehicle corresponds to a lost vehicle work order, a failed vehicle is handled corresponds to a failed vehicle work order, and so on. The work orders are stored in the server, the weights of 1 st to 8 th load factors can be determined from the average compensation coefficient in each work order, then the weight of the 9 th load factor is determined based on the average proportion of the number of operating vehicles and the number of inspection stations in the urban area, and then the weights of all the load factors are normalized to obtain the load weight of each load factor. Wherein the sum of all load weights is 1.
Based on the workload assessment of the operation and maintenance staff with the experience of the front line on the nine large load factors, the processing difficulty and the pay of various kinds of work of the operation and maintenance staff of the front line are mainly considered, and the workload weight of each load factor can be set (the total weight is 1). For example: in the operation and maintenance work, the most difficult work item is the loss-finding associated vehicle, so that the front-line staff has the highest salary for the loss-finding associated vehicle worksheet, and the load weight of the loss-finding associated vehicle can be set to a higher value, for example, the load weight of the loss-finding associated vehicle is set to 0.531. On the other hand, the workload of the zero-electricity handling vehicle is relatively low, and the load weight of the zero-electricity handling vehicle may be set to a low value, for example, 0.080.
In this scheme, optionally, the calculating the workload of each urban land parcel according to the predetermined load factor and load weight includes:
calculating the types of load factors and the number of the load factors contained in each urban land parcel;
and determining the workload of each urban land parcel according to the quantity of each load factor and the load weight of each load factor.
On the premise that the city plot is determined, the types of the load factors in the city plot are counted, for example, the types of the load factors in the city plot include processing a fault car, processing an idle car, and processing an unlocked car. And after the types of the load factors are determined, counting the number of the load factors. For example, in a certain city plot, 3 faulty vehicles are processed, 5 idle vehicles are processed, and 1 vehicle is not locked. As can be seen from table 1, the weight of the load handling the failed vehicle is 0.049524, the weight of the load handling the idle vehicle is 0.072186, and the weight of the load handling the unlocked vehicle is 0.068241. Thus, the workload of the city block is 3 × 0.049524+5 × 0.072186+1 × 0.068241. By analogy, the workload of each city block can be determined.
S130, determining a seed plot according to the workload of the city plot, and performing operation and maintenance grid integration on the seed plot by adopting a region growing algorithm until an integration result meets a preset condition to obtain the operation and maintenance grid of the target city.
Wherein the seed plot may be a base plot for a subsequent growth algorithm. Called seed plots, can be understood to mean the initial position of the growing algorithm.
In this embodiment, optionally, the step of determining the seed plot according to the workload of the city plot includes:
and taking the city plot with the minimum workload as the seed plot.
After determining the workload of each city plot, the city plot with the smallest workload can be selected as the seed plot. If several city plots with the smallest workload exist at the same time, for example, all are 1, one of the city plots can be arbitrarily selected as a seed plot.
The region growing algorithm may be an algorithm for integrating the operation and maintenance grids according to the workload of each urban land parcel to obtain the operation and maintenance grids. In this embodiment, the region growing algorithm may be a generalized search algorithm.
The design of the region growing algorithm mainly comprises the following three points: determining a seed plot, and carrying out region growth and stopping region growth. The number of the seed plots can be selected from one or more according to specific problems, and can be determined completely automatically or through human-computer interaction according to different specific problems. The condition for region growing is actually a criterion defined according to the workload of the urban land, and the condition for region growing stop defines a termination rule, for example, the division is stopped when the sum of the workloads of the urban land of the same operation and maintenance grid meets a set threshold or the growing cannot be continued.
In this embodiment, the step of performing operation and maintenance grid integration on the seed plot by using a region growing algorithm until an integration result meets a preset condition to obtain the operation and maintenance grid of the target city includes:
and integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the workload of the integrated operation and maintenance grids is within a preset workload interval to obtain the operation and maintenance grids of the target city.
Firstly, the preset condition may be a workload interval, and when the workload of the operation and maintenance grid falls within the interval, the growth may be terminated. The workload interval may be a reasonable range of standard operation and maintenance workload determined according to the average level of operation and maintenance work completed by the operation and maintenance staff every day and the requirement of operation and maintenance management work. The construction method of the vehicle operation and maintenance grid needs to ensure that the workload for dividing the operation and maintenance grid is in or close to the standard range as much as possible.
In this scheme, optionally, the step of performing operation and maintenance grid integration on each urban plot by using a region growing algorithm on the seed plots includes:
the workload of the city block adjacent to the seed block is determined. It is understood that an operation grid may include two or more urban plots, and the total workload of the urban plots grouped into the same operation grid is within the workload interval.
And if the workload of the seed plot and the workload of the adjacent urban plots are within a preset workload interval, combining the seed plot and the adjacent urban plots to obtain the operation and maintenance grid. And after the seed plots are selected, searching adjacent urban plots by starting from the seed plots, and merging the adjacent urban plots meeting the workload sum and the constraint condition into the same operation and maintenance grid.
Specifically, the step of performing operation and maintenance grid integration on the seed plot by using a region growing algorithm further comprises:
continuously selecting the city plot with the minimum workload as a seed plot from the rest city plots;
integrating the seed plots by adopting the region growing algorithm to obtain an operation and maintenance grid;
and repeating the steps until all the urban plots belong to the operation and maintenance grid.
And after the construction of one operation and maintenance grid is finished, continuously constructing the grids of the rest urban plots. And comparing the workload of the rest urban plots, and then selecting the seed plot with the minimum workload for region growth to obtain a new operation and maintenance grid. According to the method, a plurality of operation and maintenance grids can be obtained, and the total workload in each operation and maintenance grid is within the preset workload interval, so that the workload of each operation and maintenance grid is uniformly distributed.
Optionally, the step of performing operation and maintenance grid integration on the seed plot by using a region growing algorithm further includes:
and if the workload of the rest urban plots is not within the preset workload interval, merging the urban plots to the operation and maintenance grid adjacent to the operation and maintenance grid with the lowest workload.
And starting to grow the region by using the seed plots until all the urban plots belong to a certain operation and maintenance grid, and stopping the growth of the seed plots. If the total workload of the rest city plots cannot meet the minimum standard of the preset workload interval of the operation and maintenance grid, the city plots are merged into the operation and maintenance grid with the lowest workload, so that each city plot can belong to a certain operation and maintenance grid.
After the operation and maintenance grid is constructed, the server can issue the operation and maintenance grid to a handheld end of an operation and maintenance person, so that the operation and maintenance person can conveniently check and manage the operation and maintenance grid.
The operation and maintenance grids constructed by the operation and maintenance grid management method can ensure that the total workload of each drawn operation and maintenance grid is within a certain specified threshold range, and ensure the workload balance among the operation and maintenance grids. In addition, the construction of the operation and maintenance grid takes urban land blocks as basic statistical units, and the operation and maintenance grid is convenient for management of personnel on the one line.
Fig. 2 is a schematic diagram of a management process of an operation and maintenance grid according to an embodiment of the present application, as shown in fig. 2: firstly, screening the workload load factors of the operation and maintenance grid is determined, secondly, the weight of the workload load factors of the operation and maintenance grid is determined, and then the range of the standard operation and maintenance workload is estimated. And determining a preset workload interval of the operation and maintenance grid according to the standard operation and maintenance workload range. And determining a reasonable range of standard operation and maintenance workload according to the average level of operation and maintenance personnel completing operation and maintenance work every day and the requirement of operation and maintenance management work. The construction method of the operation and maintenance grid needs to ensure that the workload for dividing the operation and maintenance grid is in or close to the standard range as much as possible.
Preparing land parcel data of the operation and maintenance grid, screening load factors, calculating the load weight of each load factor, then calculating the workload of the urban land parcel, and finally constructing the operation and maintenance grid based on a region growing algorithm.
After the operation and maintenance grid is constructed, operation and maintenance management personnel can confirm and apply the operation and maintenance grid, and finally reasonable division of the operation and maintenance grid of the target city is achieved.
Fig. 3 is a schematic diagram of a management apparatus of an operation and maintenance grid according to an embodiment of the present application, and as shown in fig. 3, the management apparatus of the operation and maintenance grid includes:
an urban plot acquisition module 310, configured to divide a target city into urban plots;
the urban land mass workload calculation module 320 is configured to calculate the workload of each urban land mass according to a predetermined load factor and load weight;
and the operation and maintenance grid integration module 330 is configured to determine a seed plot according to the workload of the city plot, perform operation and maintenance grid integration on the seed plot by using a region growing algorithm until an integration result meets a preset condition, and obtain an operation and maintenance grid of the target city.
Optionally, the apparatus is further configured to:
the loading factor includes: finding lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing unclosed vehicles, processing electric shortage vehicles, processing zero electric vehicles, inspecting station number and operating vehicle number;
the load weight determination process comprises the following steps:
respectively obtaining the weight of each load factor;
weighting the weight to obtain the load weight of each load factor; wherein the sum of all load weights is 1.
Further, the step of calculating the workload of each urban land parcel according to a predetermined load factor and load weight includes:
calculating the types of the load factors and the quantity of the load factors contained in each urban land parcel;
and determining the workload of each urban land parcel according to the quantity of each load factor and the load weight of each load factor.
Further, the step of determining a seed plot according to the workload of the urban plot includes:
and taking the city plot with the minimum workload as the seed plot.
Further, the step of performing operation and maintenance grid integration on the seed plots by using a region growing algorithm until an integration result meets a preset condition to obtain the operation and maintenance grid of the target city includes:
and integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the workload of the integrated operation and maintenance grids is within a preset workload interval to obtain the operation and maintenance grids of the target city.
Further, the step of performing operation and maintenance grid integration on the seed land by using a region growing algorithm includes:
determining the workload of the urban plots adjacent to the seed plots;
and if the sum of the workload of the seed plot and the workload of the adjacent urban plots is within a preset workload interval, merging the seed plot and the adjacent urban plots to obtain the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
continuing to select the city plot with the minimum workload from the rest city plots as the seed plot;
integrating the seed plots by adopting the region growing algorithm to obtain the operation and maintenance grid;
and repeating the steps until all the urban plots belong to the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
and if the workload of the rest urban plots is not within the preset workload interval, merging the urban plots to the operation and maintenance grid adjacent to the operation and maintenance grid with the lowest workload.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
Embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for managing an operation and maintenance grid, the method including:
acquiring a city plot of a target city;
calculating the workload of each urban plot according to a predetermined load factor and load weight;
and determining a seed plot according to the workload of the city plot, and integrating the operation and maintenance grids of the seed plot by adopting a region growing algorithm until the integration result meets the preset condition to obtain the operation and maintenance grids of the target city.
Further, the loading factor includes: finding lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing unclosed vehicles, processing electric shortage vehicles, processing zero electric vehicles, inspecting station number and operating vehicle number;
the load weight determination process comprises the following steps:
respectively obtaining the weight of each load factor;
weighting the weight to obtain the load weight of each load factor; wherein the sum of all load weights is 1.
Further, the step of calculating the workload of each urban land parcel according to a predetermined load factor and load weight includes:
calculating the types of the load factors and the quantity of the load factors contained in each urban land parcel;
and determining the workload of each urban land parcel according to the quantity of each load factor and the load weight of each load factor.
Further, the step of determining a seed plot according to the workload of the urban plot includes:
and taking the city plot with the minimum workload as the seed plot.
Further, the step of integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the integration result meets a preset condition to obtain the operation and maintenance grids of the target city includes:
and integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the workload of the integrated operation and maintenance grids is within a preset workload interval to obtain the operation and maintenance grids of the target city.
Further, the step of performing operation and maintenance grid integration on the seed land by using a region growing algorithm includes:
determining the workload of the urban plots adjacent to the seed plots;
and if the sum of the workload of the seed plot and the workload of the adjacent urban plots is within a preset workload interval, merging the seed plot and the adjacent urban plots to obtain the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
continuing to select the city plot with the minimum workload from the rest city plots as the seed plot;
integrating the seed plots by adopting the region growing algorithm to obtain the operation and maintenance grid;
and repeating the steps until all the urban plots belong to the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
and if the workload of the rest urban plots is not within the preset workload interval, merging the urban plots to the operation and maintenance grid adjacent to the operation and maintenance grid with the lowest workload.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the internet). The second computer system may provide the program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present application is not limited to the operations of the management method of the operation and maintenance grid described above, and may also perform related operations in the management method of the operation and maintenance grid provided in any embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring now to FIG. 4, shown is a schematic diagram of an electronic device 400 suitable for use in implementing embodiments of the present application. The electronic device in the embodiment of the present application may be an electronic device for providing an information presentation function. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other electronic devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing device 401, performs the above-described functions defined in the methods of the embodiments of the present application.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable medium or any combination of the two. A computer readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform:
acquiring a city plot of a target city;
calculating the workload of each urban plot according to a predetermined load factor and load weight;
and determining a seed plot according to the workload of the city plot, and integrating the operation and maintenance grids of the seed plot by adopting a region growing algorithm until the integration result meets the preset condition to obtain the operation and maintenance grids of the target city.
Further, the loading factor includes: finding lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing unclosed vehicles, processing electric shortage vehicles, processing zero electric vehicles, inspecting station number and operating vehicle number;
the load weight determination process comprises the following steps:
respectively obtaining the weight of each load factor;
weighting the weight to obtain the load weight of each load factor; wherein the sum of all load weights is 1.
Further, the step of calculating the workload of each urban land parcel according to a predetermined load factor and load weight includes:
calculating the types of the load factors and the quantity of the load factors contained in each urban land parcel;
and determining the workload of each urban land parcel according to the quantity of each load factor and the load weight of each load factor.
Further, the step of determining a seed plot according to the workload of the urban plot includes:
and taking the city plot with the minimum workload as the seed plot.
Further, the step of integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the integration result meets a preset condition to obtain the operation and maintenance grids of the target city includes:
and integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the workload of the integrated operation and maintenance grids is within a preset workload interval to obtain the operation and maintenance grids of the target city.
Further, the step of performing operation and maintenance grid integration on the seed land by using a region growing algorithm includes:
determining the workload of the urban plots adjacent to the seed plots;
and if the sum of the workload of the seed plot and the workload of the adjacent urban plots is within a preset workload interval, merging the seed plot and the adjacent urban plots to obtain the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
continuing to select the city plot with the minimum workload from the rest city plots as the seed plot;
integrating the seed plots by adopting the region growing algorithm to obtain the operation and maintenance grid;
and repeating the steps until all the urban plots belong to the operation and maintenance grid.
Further, the step of performing operation and maintenance grid integration on the seed land block by using a region growing algorithm further includes:
and if the workload of the rest urban plots is not within the preset workload interval, merging the urban plots to the operation and maintenance grid adjacent to the operation and maintenance grid with the lowest workload.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the passenger computer, partly on the passenger computer, as a stand-alone software package, partly on the passenger computer and partly on a remote computer or entirely on the remote computer or electronic device. In the case of a remote computer, the remote computer may be connected to the passenger computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The names of the modules and units do not limit the modules and units in some cases.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims (11)

1. A method for managing an operation and maintenance grid, the method comprising:
acquiring a city plot of a target city;
calculating the workload of each urban plot according to a predetermined load factor and load weight;
and determining a seed plot according to the workload of the city plot, and integrating the operation and maintenance grids of the seed plot by adopting a region growing algorithm until the integration result meets the preset condition to obtain the operation and maintenance grids of the target city.
2. The method of claim 1, wherein the loading factor comprises: finding lost vehicles, processing fault vehicles, processing user fault reporting vehicles, processing idle vehicles, processing unclosed vehicles, processing electric shortage vehicles, processing zero electric vehicles, inspecting station number and operating vehicle number;
the load weight determination process comprises the following steps:
respectively obtaining the weight of each load factor;
weighting the load factors to obtain the load weight of each load factor; wherein the sum of all load weights is 1.
3. The method of claim 2, wherein said step of calculating the workload of each of said urban plots based on predetermined load factors and load weights comprises:
calculating the types of the load factors and the quantity of the load factors contained in each urban land parcel;
and determining the workload of each urban land parcel according to the quantity of each load factor and the load weight of each load factor.
4. The method of claim 1, wherein the step of determining a seed plot from the workload of the urban plot comprises:
and taking the city plot with the minimum workload as the seed plot.
5. The method of claim 1, wherein the step of performing operation and maintenance grid integration on the seed plot by using a region growing algorithm until an integration result meets a preset condition to obtain the operation and maintenance grid of the target city comprises:
and integrating the operation and maintenance grids of the seed plots by adopting a region growing algorithm until the workload of the integrated operation and maintenance grids is within a preset workload interval to obtain the operation and maintenance grids of the target city.
6. The method of claim 5, wherein the step of performing operation grid integration on the seed plot using a region growing algorithm comprises:
determining the workload of the urban plots adjacent to the seed plots;
and if the sum of the workload of the seed plot and the workload of the adjacent urban plots is within a preset workload interval, merging the seed plot and the adjacent urban plots to obtain the operation and maintenance grid.
7. The method of claim 6, wherein the step of performing operation grid integration on the seed plot using a region growing algorithm further comprises:
continuing to select the city plot with the minimum workload from the rest city plots as the seed plot;
integrating the seed plots by adopting the region growing algorithm to obtain the operation and maintenance grid;
and repeating the steps until all the urban plots belong to the operation and maintenance grid.
8. The method of claim 7, wherein the step of performing operation grid integration on the seed plot using a region growing algorithm further comprises:
and if the workload of the rest urban plots is not within the preset workload interval, merging the urban plots to the operation and maintenance grid adjacent to the operation and maintenance grid with the lowest workload.
9. An apparatus for managing an operation and maintenance grid, the apparatus comprising:
the city plot acquisition module is used for acquiring a city plot of a target city;
the urban land mass working capacity calculation module is used for calculating the working capacity of each urban land mass according to a predetermined load factor and load weight;
and the operation and maintenance grid integration module is used for determining the seed plots according to the workload of the city plots, and performing operation and maintenance grid integration on the seed plots by adopting a region growing algorithm until the integration result meets the preset condition to obtain the operation and maintenance grid of the target city.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a method for managing an operation and maintenance grid according to any one of claims 1 to 8.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of managing an operation and maintenance grid according to any of claims 1-8 when executing the computer program.
CN202010903181.4A 2020-09-01 2020-09-01 Management method, device, medium and electronic equipment of operation and maintenance grid Pending CN112070247A (en)

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