CN115063037A - Dynamic generation method and device for main and distribution network maintenance plan and electronic equipment - Google Patents
Dynamic generation method and device for main and distribution network maintenance plan and electronic equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for dynamically generating a main network and distribution network maintenance plan and electronic equipment, wherein the method comprises the following steps: acquiring historical overhaul data, equipment data and defect fault data reported within a preset time range; generating a monthly maintenance plan based on the historical maintenance data, the equipment data and the preset constraint conditions; and dynamically adjusting the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan. According to the invention, by acquiring multi-aspect data and combining with various constraint conditions to automatically generate the maintenance plan, the problem of low efficiency of the existing manual arrangement plan is effectively solved, and meanwhile, the maintenance plan is dynamically adjusted in consideration of the reported defect fault data, so that the problem that the plan execution is influenced by defect faults outside the plan range in the existing maintenance plan execution can be solved, and the plan execution efficiency can be improved integrally.
Description
Technical Field
The invention relates to the technical field of power grid control, in particular to a method and a device for dynamically generating a main network and distribution network maintenance plan and electronic equipment.
Background
In the process of arranging the power grid maintenance plan, analysis is carried out by means of manual experience or power grid operation historical data, and the maintenance plan in the current year is arranged by considering various factors. The change of any work plan may cause the rearrangement of the work plan, each rearrangement needs a lot of time, the consideration of operation mode arrangement, power grid risk analysis and a lot of coordination work may cause the incomplete consideration of work arrangement and the failure of quick response to the plan change.
The existing annual plan is poor in execution rate and difficult to guide annual plan work: when the annual plan is submitted, uncertain factors do not exist in material arrival time, early construction conditions and the like, so that the annual plan has larger deviation when the plan is executed. If the whole year plan cannot be planned according to the latest condition in time, the conditions that the working window period cannot be fully utilized, the work is piled up at the end of the year, partial work in a district is centralized to start working and the like are easily caused. And a lot of time is consumed for planning the year on a whole every time, and the plan is often not changed quickly, so that the dynamic year planning is difficult to realize.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a method for dynamically generating a main network and distribution network overhaul plan, so as to solve the problem that the existing manual scheduling plan has low efficiency and cannot be dynamically adjusted according to a changing situation, so that the plan execution efficiency is low.
In order to achieve the purpose, the invention provides the following technical scheme:
the embodiment of the invention provides a dynamic generation method of a main network and distribution network maintenance plan, which comprises the following steps:
acquiring historical overhaul data, equipment data and defect fault data reported within a preset time range;
generating a monthly overhaul plan based on the historical overhaul data, the equipment data and preset constraint conditions;
and dynamically adjusting the monthly maintenance plan according to the defect fault data to generate a daily maintenance plan.
Optionally, the generating a monthly maintenance plan based on the historical maintenance data, the equipment data, and preset constraint conditions includes:
extracting overhaul information of each device from the historical overhaul data according to the device data;
generating an annual maintenance plan based on the maintenance information and a preset maintenance period;
and adjusting the annual overhaul plan according to the preset constraint condition to generate a monthly overhaul plan.
Optionally, the extracting, according to the equipment data, the overhaul information of each piece of equipment from the historical overhaul data includes:
extracting first-check equipment information and non-first-check equipment information from the equipment data;
extracting the commissioning date of each first-check device from the first-check device information;
extracting historical overhaul time of each non-first-inspection device from the historical overhaul data according to the non-first-inspection device information;
and determining the maintenance information of the corresponding equipment based on the commissioning date of each piece of first-inspection equipment and the historical maintenance time of each piece of non-first-inspection equipment.
Optionally, the preset overhaul period includes a first inspection equipment overhaul time limit and a non-first inspection equipment overhaul period, generating an annual overhaul plan based on the overhaul information and the preset overhaul period, including:
calculating the first inspection time of the first inspection equipment according to the commissioning date of the first inspection equipment and the first inspection equipment inspection time limit in the inspection information;
calculating to obtain the rechecking time of the non-first-inspection equipment according to the historical overhauling time of the non-first-inspection equipment and the overhauling period of the non-first-inspection equipment;
and generating an annual maintenance plan based on the first inspection time of the first inspection equipment and the second inspection time of the non-first inspection equipment.
Optionally, the dynamically adjusting the monthly maintenance plan according to the defect fault data to generate a daily maintenance plan includes:
extracting fault equipment information and fault maintenance time limit from the defect fault data;
extracting maintenance time corresponding to the fault equipment information from the monthly maintenance plan according to the fault equipment information;
and judging whether the overhaul time is in the range of the fault overhaul time limit, and dynamically adjusting the monthly overhaul plan according to a judgment result to generate a daily overhaul plan.
Optionally, the determining whether the overhaul time is within the fault overhaul time limit, and dynamically adjusting the monthly overhaul plan according to the determination result to generate a daily overhaul plan includes:
if the overhaul time is within the range of the fault overhaul time limit, the monthly overhaul plan is not dynamically adjusted, and a daily overhaul plan is generated according to the monthly overhaul plan;
and if the overhaul time is not within the range of the fault overhaul time limit, adjusting the overhaul plan corresponding to the fault equipment in the monthly overhaul plan to be within the range of the fault overhaul time limit, and generating a daily overhaul plan according to the adjusted monthly overhaul plan.
Optionally, before dynamically adjusting the monthly maintenance plan according to the defect fault data to generate a daily maintenance plan, the method further includes:
acquiring main and distribution network associated data;
screening the associated equipment with power failure mutual exclusion from the equipment data based on the main and distribution network associated data;
judging whether a maintenance plan for simultaneously maintaining a plurality of associated devices exists in the monthly maintenance plan;
and if the monthly maintenance plan comprises a maintenance plan for simultaneously maintaining a plurality of associated devices, adjusting the maintenance time of each associated device to ensure that the associated devices are not maintained at the same time.
The embodiment of the invention also provides a device for dynamically generating the main and distribution network maintenance plan, which comprises the following components:
the acquisition module is used for acquiring historical overhaul data, equipment data and defect fault data reported within a preset time range;
the generating module is used for generating a monthly overhaul plan based on the historical overhaul data, the equipment data and preset constraint conditions;
and the adjusting module is used for dynamically adjusting the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan.
An embodiment of the present invention further provides an electronic device, including:
the main distribution network overhaul plan dynamic generation method comprises a memory and a processor, wherein the memory and the processor are mutually connected in a communication mode, computer instructions are stored in the memory, and the processor executes the computer instructions so as to execute the main distribution network overhaul plan dynamic generation method provided by the embodiment of the invention.
The embodiment of the invention also provides a computer-readable storage medium, which stores a computer instruction, wherein the computer instruction is used for enabling a computer to execute the dynamic generation method of the main and distribution network overhaul plan provided by the embodiment of the invention.
The technical scheme of the invention has the following advantages:
the invention provides a dynamic generation method of a main network and distribution network maintenance plan, which comprises the steps of obtaining historical maintenance data, equipment data and defect fault data reported within a preset time range; generating a monthly maintenance plan based on the historical maintenance data, the equipment data and the preset constraint conditions; and dynamically adjusting the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan. According to the invention, by acquiring multi-aspect data and combining various constraint conditions and equipment maintenance cycles to automatically generate the maintenance plan, the problem of low efficiency of the existing manual arrangement plan is effectively solved, and meanwhile, the maintenance plan is dynamically adjusted by considering the reported defect fault data, so that the problem that the plan execution is influenced by the defect fault out of the plan range in the existing maintenance plan execution can be solved, and the plan execution efficiency can be integrally improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for dynamically generating a main network and distribution network overhaul plan in an embodiment of the present invention;
FIG. 2 is a flow chart of generating a monthly service plan in accordance with an embodiment of the present invention;
FIG. 3 is a flow chart of extracting service information for each device according to an embodiment of the present invention;
FIG. 4 is a flow chart of generating an annual service plan in accordance with an embodiment of the present invention;
FIG. 5 is a flow chart of generating a daily overhaul plan in accordance with an embodiment of the present invention;
FIG. 6 is a flowchart illustrating dynamic adjustment of a monthly overhaul plan to generate a daily overhaul plan in accordance with an embodiment of the present invention;
FIG. 7 is a flow chart illustrating adjustment of service time for associated equipment in accordance with an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a dynamic generation device for a main distribution network maintenance plan in the embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for dynamically generating a main distribution network overhaul plan, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than here.
In this embodiment, a dynamic generation method for a main distribution network maintenance plan is provided, which can be used for the above terminal device, such as a computer, and as shown in fig. 1, the dynamic generation method for a main distribution network maintenance plan includes the following steps:
step S1: and acquiring historical overhaul data, equipment data and defect fault data reported within a preset time range. Specifically, the defect fault data reported within the preset time range is from a PMS system and a scheduling log system; the preset time range may be, for example: twenty-four hours past, three days past, etc.; the subsequent maintenance schedule can be dynamically adjusted according to the defect fault data.
Step S2: and generating a monthly overhaul plan based on the historical overhaul data, the equipment data and the preset constraint conditions. Specifically, multiple influence factors are comprehensively considered by synthesizing multiple preset constraint conditions, so that the generated maintenance plan is more reasonable.
Step S3: and dynamically adjusting the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan. Specifically, the maintenance plan is dynamically adjusted through the defect fault data, so that the problem that the execution of the plan is influenced by the defect fault outside the planned range in the execution of the existing maintenance plan can be solved, and the improvement of the plan execution efficiency on the whole is facilitated
Through the steps S1 to S3, the dynamic generation method for the main and distribution network maintenance plan provided by the embodiment of the present invention effectively solves the problem of low efficiency of the existing manual arrangement plan by acquiring multi-aspect data and automatically generating the maintenance plan in combination with various constraint conditions, and dynamically adjusts the maintenance plan in consideration of the reported defect fault data, so that the problem that the execution of the plan is affected by defect faults outside the plan range in the execution of the existing maintenance plan can be compensated, and the improvement of the plan execution efficiency as a whole is facilitated.
Specifically, in an embodiment, as shown in fig. 2, the step S2 includes the following steps:
step S21: and extracting the maintenance information of each device from the historical maintenance data according to the device data.
Step S22: and generating an annual maintenance plan based on the maintenance information and a preset maintenance period. Specifically, the generation process of the annual maintenance plan includes, but is not limited to, the following ways:
main network
a. The first inspection equipment, namely the new equipment put into operation in the current year, generates a maintenance plan according to the operation date within 1 year according to the operation date on the control cloud;
in the formula (I), the compound is shown in the specification,
the number of historical overhauls for the equipment i,
as a result of the current date,
the date of commissioning for the device i,
the number of days of the year.
b. Non-first inspection: generating a maintenance plan according to the actual execution time and maintenance period in the historical maintenance data;
in the formula (I), the compound is shown in the specification,
the number of historical overhauls for the equipment i,
in order to plan the execution time,
for historical maintenance dataThe interval execution time, T, is the period.
② distribution network
a. And (4) performing regular inspection: for distribution network equipment which is not overhauled within 3 years from commissioning, automatically generating an overhaul plan of corresponding time according to commissioning date and overhaul period;
in the formula (I), the compound is shown in the specification,
the number of historical overhauls for the equipment i,
as a result of the current date,
the date of commissioning for the device i,
number of days of year
b. Lines crossing forest, grassland (10 months to 2 months of the next year): arranging the maintenance time to 10 months to 2 months in the next year for the line equipment crossing the forest and the grassland;
in the formula (I), the compound is shown in the specification,
indicating the planned time of service for line i,
representing the 10 months of the current year,
and (3) representing that the next year is 2 months, the line i belongs to a line crossing grasslands and forests.
c. Important user power supply lines (spring test for 3-5 months, autumn test for 10-12 months): arranging a corresponding maintenance plan in a spring test or autumn test period aiming at a power supply line with important users;
in the formula (I), the compound is shown in the specification,
indicating the planned time of service for line i,
represents the 3 months of the current year,
represents the 5 months of the current year,
representing the 10 months of the current year,
line i represents the line supplying power to the important user for 12 months of the current year.
d. Other devices: and automatically generating a maintenance plan according to the actual execution time and maintenance period on the historical distribution network maintenance list.
In the formula (I), the compound is shown in the specification,
the number of historical overhauls for the equipment i,
in order to plan the execution time,
and T is the actual execution time in the historical overhaul data, and is a period.
Step S23: and adjusting the annual maintenance plan according to preset constraint conditions to generate a monthly maintenance plan. Specifically, the preset constraint conditions include, but are not limited to, the following, for example:
1) maintenance balance constraints
Firstly, based on relevant limiting conditions set by a scheduling department for tidal current stability in the rich water period and the dry water period, an equipment maintenance balance domain is set, and the domain is used for defining a maintenance window and balancing the limiting conditions; due to the problems of equipment outage, standby equipment investment and the like caused by maintenance work, the structure and the operation mode of a power grid are changed, potential safety hazards such as power flow out-of-limit can be brought to the power grid by the change, and therefore safety check is needed when a maintenance plan is made.
In the formula (I), the compound is shown in the specification,
which represents the real power flowing through the line,
representing the upper limit of active power flowing through the line;
which is representative of the voltage at the node,
and
respectively representing the upper and lower limits of the node voltage.
In the formula (I), the compound is shown in the specification,
the state of the hydropower related equipment i in the rich water period and the dry water period is represented, the equipment is in the running state when the value is 0, and the equipment is in the maintenance state when the value is 1.
Power failure is not arranged during the holidays of the important festivals, the power failure crossing the holidays of the important festivals is not arranged, or the power failure time is adjusted to the front and back of the holidays;
in the formula (I), wherein,
and the state of the equipment i in the holiday represents that the equipment is in the running state when the value is 0, and represents that the equipment is in the maintenance state when the value is 1.
2) Important power conservation constraints: and not allowing to arrange a maintenance plan aiming at the power-conserving period of the power-conserving task of the maintenance object.
In the formula (I), wherein,
and during the power conservation period, the state of the equipment i is represented, when the value of the state is 0, the equipment is in the running state, and when the value of the state is 1, the equipment is in the maintenance state.
3) And (4) core load constraint: and aiming at the core load related to the maintenance object, reminding a person whether to arrange a maintenance plan, wherein the core load is provided by an SG186 system and is defined as power supply equipment corresponding to an important user.
In the formula (I), wherein,
indicating that the service equipment is core load.
4) High-sensitivity load restraint: needleAnd if the load sensitive to power failure exists in the maintenance object, a person needs to be reminded whether to arrange a maintenance plan, and the high-sensitivity load is provided by a power supply command service system of a distribution network dispatching control center and defined as power supply equipment corresponding to a sensitive user.
In the formula (I), wherein,
indicating that the service equipment is sensitive load.
5) Team bearing capacity constraint
The upper limit value of the number of maintenance plans executed by the team in different time periods every day is set from two dimensions of operation and maintenance operators (a main network: a local dispatching team, a power transformation operation and maintenance room, a distribution network: a county dispatching team, a power transformation operation and maintenance room, a power supply station and a power distribution operation and maintenance team) at each level of dispatching and station ends, and the upper limit value can be manually set and maintained according to the conditions of each region. The transformer substation is managed respectively to each team of fully considering station end fortune dimension operating personnel, and the maintenance quantity that exceeds the bearing capacity limit value should not appear in same team.
Specifically, multiple influence factors are comprehensively considered through multiple preset constraint conditions, the operation risk of the power grid is reduced, and the generated maintenance plan is more reasonable.
Specifically, in an embodiment, as shown in fig. 3, the step S21 includes the following steps:
step S211: and extracting first-check equipment information and non-first-check equipment information from the equipment data.
Step S212: and extracting the commissioning date of each first-check device from the first-check device information.
Step S213: and extracting the historical overhaul time of each non-first-inspection device from the historical overhaul data according to the information of the non-first-inspection devices.
Step S214: and determining the maintenance information of the corresponding equipment based on the commissioning date of each first-inspection equipment and the historical maintenance time of each non-first-inspection equipment.
Specifically, the first-check equipment is equipment put into use in the current year, no record is recorded in historical maintenance data, and the commissioning date of the equipment put into use is used as maintenance information of the equipment; and the non-first-inspection equipment can extract historical maintenance time from historical maintenance data, and because maintenance is periodic, the next maintenance time can be calculated through the historical maintenance time, and the next maintenance time can be flexibly adjusted within the maintenance period time range.
Specifically, in an embodiment, the overhaul period preset in the step S22 includes a first inspection equipment overhaul time limit and a non-first inspection equipment overhaul period, as shown in fig. 4, the method specifically includes the following steps:
step S221: and calculating the first inspection time of the first inspection equipment according to the commissioning date of the first inspection equipment and the inspection time limit of the first inspection equipment in the inspection information.
Step S222: and calculating to obtain the rechecking time of the non-first-inspection equipment according to the historical overhauling time of the non-first-inspection equipment and the overhauling period of the non-first-inspection equipment.
Step S223: and generating an annual maintenance plan based on the first inspection time of the first inspection equipment and the second inspection time of the non-first inspection equipment.
Specifically, since the first inspection equipment is sometimes required, and the newly used equipment is required to complete the first inspection within a specified time limit, the inspection time of the first inspection equipment and the inspection time of the non-first inspection equipment need to be calculated respectively, so as to generate a more reasonable inspection plan.
Specifically, in an embodiment, as shown in fig. 5, the step S3 includes the following steps:
step S31: and extracting fault equipment information and fault maintenance time limit from the fault data. Specifically, the defect fault data is divided into defect data and fault data, the defect data is from the PMS system, and the fault data is from the dispatch log system. According to the equipment operation condition recorded by the patrol record of the service center, acquiring the equipment which has defects or faults and needs to arrange maintenance in a certain time, wherein the fault maintenance time limit ranges are as follows: the urban network is within 1 month, and the rural network is within 3 months;
in the formula (I), the compound is shown in the specification,
the period of patrol in the urban network is shown,
and marking the patrol period of the rural power network.
Step S32: and extracting the maintenance time corresponding to the fault equipment information from the monthly maintenance plan according to the fault equipment information.
Step S33: and judging whether the overhaul time is in the fault overhaul time limit range or not, and dynamically adjusting the monthly overhaul plan according to the judgment result to generate a daily overhaul plan.
Specifically, the reported defect fault data are analyzed to obtain equipment needing to be overhauled within the fault overhaul time limit range, the monthly overhaul plan is dynamically adjusted, the timely reported defect fault equipment is listed into the overhaul plan, the problem that when an overhaul worker encounters a defect fault outside the planned range, the current planned execution is influenced by processing the defect fault outside the planned range is effectively solved, convenience is brought to the overhaul worker, the overhaul efficiency is improved to a great extent, and the situations that the working window period cannot be fully utilized, the work at the end of the year is bundled, partial work of a section area is intensively started and the like are avoided.
Specifically, in an embodiment, as shown in fig. 6, the step S33 includes the following steps:
step S331: and if the maintenance time is within the range of the fault maintenance time limit, dynamically adjusting the monthly maintenance plan, and generating a daily maintenance plan according to the monthly maintenance plan. Specifically, if the maintenance time is within the fault maintenance time limit, it is stated that the maintenance can be completed within the fault maintenance time limit by performing according to the previous plan without adjusting the maintenance plan.
Step S332: and if the maintenance time is not within the range of the fault maintenance time limit, adjusting the maintenance schedule corresponding to the fault equipment in the monthly maintenance schedule to be within the range of the fault maintenance time limit, and generating a daily maintenance schedule according to the adjusted monthly maintenance schedule.
Specifically, by the judgment and adjustment process, the defect fault equipment can be overhauled within the fault overhauling time limit, the scheduled adjustment frequency can be reduced to a certain extent, and resources are saved. The equipment maintenance plans which have similar maintenance time and can be combined for maintenance can be combined:
in the formula (I), the compound is shown in the specification,
for the month of the plan, it is,
the current month.
Equipment which can be combined is automatically generated into a maintenance plan when the maintenance time is similar (within 1 month);
in the formula (I), the compound is shown in the specification,
and N is the equipment with connection relation on the topological structure.
Specifically, in an embodiment, before the step S3, as shown in fig. 7, the method specifically includes the following steps:
step S031: and acquiring the associated data of the main network and the distribution network.
Step S032: and screening the associated equipment with the mutual exclusion during power failure from the equipment data based on the associated data of the main network and the distribution network.
Step S033: and judging whether the monthly maintenance plan has a maintenance plan for simultaneously maintaining a plurality of associated devices.
Step S034: if the monthly maintenance plan includes a maintenance plan for simultaneously maintaining a plurality of associated devices, the maintenance time of each associated device is adjusted so that the plurality of associated devices are not maintained at the same time.
Specifically, in the automatic generation process of the main network and distribution network maintenance plans, the main network and distribution network associated equipment exists in the superposed topological relation, and the maintenance time of each associated equipment is adjusted.
In the formula
A primary network device is represented as a master network device,
representing the distribution network equipment.
Through the adjustment process, the risk of the power grid operation promoted when the power failure occurs while the mutual influence among partial equipment states is effectively avoided.
Specifically, in an embodiment, after the step S031, the following steps are further included: screening crossed equipment with crossed power failure ranges from the equipment data based on the main and distribution network related data; judging whether a plurality of crossing equipment with crossed power failure ranges exist in the monthly maintenance plan or not, and performing maintenance in adjacent time periods; if the monthly maintenance plan comprises a maintenance plan that the maintenance is performed in the adjacent time period by the plurality of crossed equipment with the power failure ranges, the maintenance time of the equipment with the power failure ranges crossed is adjusted, so that the maintenance is performed at the same time by the plurality of equipment with the power failure ranges crossed.
Specifically, the condition that cross interference exists in the state of the equipment needs to meet the requirement of no repeated power failure when the power grid equipment is overhauled, namely in the same regional power grid, repeated power failure is not allowed to occur due to the problem that one-time power failure can be solved, and therefore the equipment needs to be arranged to be overhauled at the same time.
In the formula (I), the compound is shown in the specification,
and
representing the service periods for equipment k and equipment m, respectively.
If the maintenance time arrangement of the equipment with the crossed power failure ranges is very close, repeated power failure in a short period can possibly cause adverse effects on the equipment and a power grid, so that the problem can be effectively avoided by arranging the equipment with the crossed power failure ranges to be maintained at the same time.
Meanwhile, in the actual operation of the power grid, electrical islands may be generated in the power grid when certain devices are overhauled at the same time, the reliability requirements are not met, and the devices are avoided from being overhauled at the same time when the maintenance plan is customized, so that the reliability is improved.
In the formula (I), the compound is shown in the specification,
indicating the time of overhaul for the overlap of equipment i and equipment j.
Specifically, the following is described in further detail with reference to specific examples:
1) accessing multi-source data: defect data of a PMS (permanent magnet system), fault data of a scheduling log, power protection information and important user data of an SG186 marketing system, sensitive user data of a service command system, historical maintenance plan data of an OMS (operation management system) of a scheduling support management system and the like;
2) and automatically generating a maintenance plan for the equipment meeting the conditions based on the multi-source data according to the network topological relation, and providing manual selection generation.
In one embodiment of the present invention, a power supply company has a monthly service plan as shown in table 1 for 6 blackout service plans, and the first 3 service plans automatically form a service plan event.
TABLE 1 Overhaul plan List for a certain power supply company in a certain month and a certain year
The method provided by the embodiment of the invention is suitable for power failure planning and regulation and control operation of the metro and urban power grid equipment. The method comprises the steps of automatically generating a maintenance plan by comprehensively considering factors such as equipment maintenance period, maintenance window period, equipment simultaneous stop and mutual exclusion, team bearing capacity, equipment defects and faults, important power protection and the like based on multi-source data and in combination with a network topological structure, judging whether power failure is repeated or not after the maintenance plan is generated, whether important users and sensitive users are involved or not, whether power protection information is involved or not, whether the maintenance window period exists or not, and the like. Compared with the traditional maintenance plan, the method has the advantages that multi-source data, defect data of a PMS (permanent magnet system), fault data of a scheduling log, power protection information and important user data of a marketing SG186 system, sensitive user data of a service command system, OMS (operation management system) historical maintenance plan data of a scheduling support management system and the like are accessed, data barriers among all departments are broken, and data sharing is achieved.
Meanwhile, based on multi-source data, a network topology structure is combined, factors such as equipment maintenance period, maintenance window period, equipment simultaneous stop and mutual exclusion, team bearing capacity, equipment defects and faults, important power protection and the like are comprehensively considered, and a maintenance plan is automatically generated. Therefore, the pressure of manual reporting and balance analysis of the maintenance plan is reduced, maintenance personnel are intelligently assisted to balance the maintenance plan, the problem of potential safety hazards of a power grid at the future maintenance plan moment is solved, the intelligent decision of the maintenance plan is perfected, and the automatic generation of the maintenance plan is realized.
Compared with the traditional manual filling of the maintenance plan, the method and the system can dynamically adjust the maintenance plan according to the reported defect faults, make up for the deficiency of missing report of the existing maintenance plan, and avoid the situations that the maintenance window period cannot be fully utilized, the work at the end of the year is bundled, part of work in the area is centralized, and the like. Effectively alleviate the pressure that the manual work of maintenance plan was reported and the analysis is balanced, intelligent auxiliary mode personnel carry out maintenance plan's balance, reduce electric wire netting potential safety hazard problem when future maintenance plan.
The embodiment also provides a device for dynamically generating a main network and distribution network maintenance plan, which is used for implementing the foregoing embodiments and preferred embodiments, and the description of the device that has been already made is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The present embodiment provides a dynamic generation apparatus for a main distribution network maintenance plan, as shown in fig. 8, including:
the obtaining module 101 is configured to obtain historical overhaul data, device data, and defect fault data reported within a preset time range, for details, refer to relevant description of step S1 in the foregoing method embodiment, and no further description is provided here.
The generating module 102 is configured to generate a monthly maintenance plan based on the historical maintenance data, the equipment data, and the preset constraint condition, for details, refer to the related description of step S2 in the foregoing method embodiment, and no further description is provided herein.
The adjusting module 103 is configured to dynamically adjust the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan, for details, refer to the related description of step S3 in the foregoing method embodiment, and no further description is provided here.
The dynamic master network distribution network overhaul plan generation device in this embodiment is in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and a memory that execute one or more software or fixed programs, and/or other devices that can provide the above functions.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
There is also provided an electronic device according to an embodiment of the present invention, as shown in fig. 9, the electronic device may include a processor 901 and a memory 902, where the processor 901 and the memory 902 may be connected by a bus or in another manner, and fig. 9 takes the example of being connected by a bus as an example.
The memory 902, which is a non-transitory computer readable storage medium, may be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods in the method embodiments of the present invention. The processor 901 executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions and modules stored in the memory 902, that is, implements the methods in the above-described method embodiments.
The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 901, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 902 may optionally include memory located remotely from the processor 901, which may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 902, which when executed by the processor 901 performs the methods in the above-described method embodiments.
The specific details of the electronic device may be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, and the program can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A dynamic generation method for a main network and distribution network maintenance plan is characterized by comprising the following steps:
acquiring historical maintenance data, equipment data and defect fault data reported within a preset time range;
generating a monthly overhaul plan based on the historical overhaul data, the equipment data and preset constraint conditions;
and dynamically adjusting the monthly maintenance plan according to the defect fault data to generate a daily maintenance plan.
2. The dynamic generation method of the main and distribution network overhaul plan according to claim 1, wherein the generating a monthly overhaul plan based on the historical overhaul data, the equipment data and preset constraints comprises:
extracting overhaul information of each device from the historical overhaul data according to the device data;
generating an annual maintenance plan based on the maintenance information and a preset maintenance period;
and adjusting the annual overhaul plan according to the preset constraint condition to generate a monthly overhaul plan.
3. The method for dynamically generating the main and distribution network overhaul plan according to claim 2, wherein the extracting overhaul information of each device from the historical overhaul data according to the device data comprises:
extracting first-check equipment information and non-first-check equipment information from the equipment data;
extracting the commissioning date of each first-check device from the first-check device information;
extracting historical overhaul time of each non-first-inspection device from the historical overhaul data according to the non-first-inspection device information;
and determining the maintenance information of the corresponding equipment based on the commissioning date of each piece of first-inspection equipment and the historical maintenance time of each piece of non-first-inspection equipment.
4. The method for dynamically generating the main network and distribution network overhaul plan according to claim 3, wherein the preset overhaul period comprises a first inspection equipment overhaul time limit and a non-first inspection equipment overhaul period, and the generating an annual overhaul plan based on the overhaul information and the preset overhaul period comprises:
calculating the first inspection time of the first inspection equipment according to the commissioning date of the first inspection equipment and the first inspection equipment inspection time limit in the inspection information;
calculating to obtain the rechecking time of the non-first-check equipment according to the historical overhauling time of the non-first-check equipment and the overhauling period of the non-first-check equipment;
and generating an annual maintenance plan based on the first inspection time of the first inspection equipment and the second inspection time of the non-first inspection equipment.
5. The dynamic generation method of the main distribution network overhaul plan according to claim 1, wherein the dynamically adjusting the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan comprises:
extracting fault equipment information and fault maintenance time limit from the defect fault data;
extracting maintenance time corresponding to the fault equipment information from the monthly maintenance plan according to the fault equipment information;
and judging whether the overhaul time is in the range of the fault overhaul time limit, and dynamically adjusting the monthly overhaul plan according to a judgment result to generate a daily overhaul plan.
6. The dynamic generation method of the main distribution network overhaul plan according to claim 5, wherein the step of judging whether the overhaul time is within the fault overhaul time limit and dynamically adjusting the monthly overhaul plan according to the judgment result to generate a daily overhaul plan comprises the following steps:
if the overhaul time is within the range of the fault overhaul time limit, the monthly overhaul plan is not dynamically adjusted, and a daily overhaul plan is generated according to the monthly overhaul plan;
and if the overhaul time is not in the range of the fault overhaul time limit, adjusting the overhaul plan corresponding to the fault equipment in the monthly overhaul plan to be in the range of the fault overhaul time limit, and generating a daily overhaul plan according to the adjusted monthly overhaul plan.
7. The dynamic generation method of a master network distribution network overhaul plan according to claim 1, wherein before dynamically adjusting the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan, the method further comprises:
acquiring main and distribution network associated data;
screening the associated equipment with power failure mutual exclusion from the equipment data based on the main and distribution network associated data;
judging whether a maintenance plan for simultaneously maintaining a plurality of associated devices exists in the monthly maintenance plan;
and if the monthly maintenance plan comprises a maintenance plan for simultaneously maintaining a plurality of associated devices, adjusting the maintenance time of each associated device to ensure that the associated devices are not maintained at the same time.
8. The utility model provides a main and distribution network maintenance plan dynamic generation device which characterized in that includes:
the acquisition module is used for acquiring historical overhaul data, equipment data and defect fault data reported within a preset time range;
the generating module is used for generating a monthly overhaul plan based on the historical overhaul data, the equipment data and preset constraint conditions;
and the adjusting module is used for dynamically adjusting the monthly overhaul plan according to the defect fault data to generate a daily overhaul plan.
9. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the method for dynamically generating a master network overhaul plan as recited in any one of claims 1 to 7.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions for causing a computer to execute the method for dynamically generating a main and distribution network service plan as claimed in any one of claims 1-7.
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