CN112767192A - Intelligent maintenance method for power equipment - Google Patents
Intelligent maintenance method for power equipment Download PDFInfo
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Abstract
The invention provides an intelligent maintenance method of electric power equipment, which is characterized in that maintenance work items are determined by acquiring running state information of the electric power equipment, positions of all components and all personnel information are determined according to the maintenance work items, corresponding arrival time is determined according to the positions of all the components and all the personnel information, and specific workers and specific storage places of the components are determined according to the arrival time. The invention can lead the maintenance work of the power equipment to be carried out more orderly, and lead the maintenance work to be more timely and efficient.
Description
Technical Field
The invention relates to the technical field of power equipment maintenance, in particular to an intelligent maintenance method for power equipment.
Background
The public life of the power equipment customs is large, and the power equipment is important large-scale equipment for ensuring normal running of life and production. The power equipment needs to be maintained to improve the service life and the use safety of the power equipment. The power equipment is widely distributed, is generally located in remote areas, has few professional maintenance personnel stationed at the local, and generally stores parts (new parts) required by maintenance at a place far away from the power equipment. The maintenance of the power equipment needs related professionals and maintenance consumables to reach the site, the maintenance and management of the power equipment is very troublesome at present, and the professionals or the maintenance consumables cannot be put in place on time, so that the maintenance work is difficult to develop, the performance loss of the power equipment is reduced due to the fact that the power equipment cannot be maintained in time, or the power equipment cannot run to influence power supply.
Disclosure of Invention
The invention provides an intelligent maintenance method for power equipment, which can be used for performing maintenance work on the power equipment more orderly, so that the maintenance work is more timely and efficient.
The invention provides an intelligent maintenance method of power equipment, which comprises the following steps:
determining maintenance work items required to be carried out by the electric power equipment according to the acquired running state information of the electric power equipment;
determining maintenance consumables required for performing the maintenance work items and all places where the maintenance consumables are stored;
determining staff with corresponding maintenance skills required to perform the maintenance work item and availability and location information for each of the staff;
calculating the time t1 required for all the maintenance consumables to be respectively transported from the corresponding stored sites to the electric power equipment according to all the sites where the maintenance consumables are stored and the sites of the electric power equipment;
calculating the time t2 required by all the workers to reach the power equipment respectively according to the availability and the position information of the workers;
and determining the shortest time required for completing the maintenance work items of the power equipment according to the time t1, the time t2 and the historical information of the time required for the staff to complete the maintenance work items of the type, thereby determining the place for storing the maintenance consumables to be transported and the staff for executing the maintenance work items.
Further, the "determining the maintenance work items that need to be performed by the electrical equipment according to the acquired operating state information of the electrical equipment" includes:
shooting the power equipment to obtain a plurality of equipment images;
inputting the device image into a convolutional neural network for learning to generate a panoramic image of the power device;
acquiring position information of each part of the power equipment according to the panoramic image;
querying a database according to the position information of each component to determine the type of each component and maintain a historical record;
and determining maintenance work items required to be carried out by the power equipment according to the types of the components and the maintenance history.
Further, the "determining the minimum time required to complete the maintenance work items of the power equipment based on the time t1, the time t2, and the historical information of the time required for the worker to complete the maintenance work items of the type" includes:
and determining the shortest time required for completing the maintenance work items of the electric power equipment according to the weight of the time t1, the weight of the time t2 and the weight of the required time.
Further, the "calculating a time t1 required for the maintenance consumable to be transported from the stored location to the electric power equipment according to all the locations where the maintenance consumable is stored and the location of the electric power equipment" includes:
selecting an optimal transportation mode according to the type of the maintenance consumables, all stored places, comprehensive cost factors and time factors;
calculating a time t1 required for the maintenance consumables to be shipped from the stored location to the power equipment as a function of the transportation mode, resulting in a set of times t 1.
Further, the "calculating the time t2 required for all the staff members to respectively reach the power equipment according to the availability and the location information of the staff members" includes:
determining a plurality of vehicles which can be selected by the staff arriving at the electric power equipment according to the availability and the position information of the staff;
inquiring travel information of different vehicles, wherein the travel information comprises shift information, road condition information and weather information, and calculating time t2 required by the staff to arrive at the power equipment by taking different vehicles to obtain a set of time t 2.
The method comprises the steps of determining maintenance work items required to be carried out by the electric power equipment according to the acquired running state information of the electric power equipment; determining maintenance consumables required for performing the maintenance work items and all places where the maintenance consumables are stored; determining staff with corresponding maintenance skills required to perform the maintenance work item and availability and location information for each of the staff; calculating the time t1 required for all the maintenance consumables to be respectively transported from the corresponding stored sites to the electric power equipment according to all the sites where the maintenance consumables are stored and the sites of the electric power equipment; calculating the time t2 required by all the workers to reach the power equipment respectively according to the availability and the position information of the workers; according to the scheme, the invention can ensure that the maintenance work of the electric power equipment is carried out more orderly, so that the maintenance work is more timely and efficient.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without any inventive step, are within the scope of the present invention.
As shown in fig. 1, fig. 1 shows a flowchart of an intelligent maintenance method for power equipment according to the present invention. The invention provides an intelligent maintenance method for power equipment.
S110: and determining maintenance work items required to be carried out by the electric power equipment according to the acquired running state information of the electric power equipment.
The maintenance items may include a maintenance item that is a maintenance work when the operation of the electrical equipment is failed, and a scheduled maintenance item that is a maintenance work performed on the electrical equipment for a certain period of time.
The operation state information of the electrical equipment may be obtained not only by the operation monitor, but also by the following specific steps in the present embodiment:
s111: shooting the power equipment to obtain a plurality of equipment images.
S112: inputting the device image to a convolutional neural network for learning to generate a panoramic image of the power device.
S113: and acquiring the position information of each part of the power equipment according to the panoramic image.
S114: and querying a database according to the position information of each component to determine the type of each component and maintain a historical record.
S115: and determining maintenance work items required to be carried out by the power equipment according to the types of the components and the maintenance history.
The types of components may be classified according to the use of the component in the electric power equipment, and may be classified into an auxiliary type component (for example, an electrical secondary component such as a sensor) and a main type component (for example, an electrical primary component such as a transformer), and the maintenance work items of the different components are different depending on the functional use thereof.
The position information of each part and the corresponding maintenance history are recorded in the database, a high-precision panoramic image is obtained through convolutional neural network learning, the position information of each part can be determined according to the distribution condition of each part in the panoramic image, the type of each part and the maintenance history can be determined through querying the database, and therefore maintenance work items required to be carried out by the power equipment are determined.
S120: the maintenance consumables required for performing the maintenance work item and all the sites where the maintenance consumables are stored are determined.
Each component may correspond to multiple, different types of maintenance consumables, and thus, the maintenance consumables required for different maintenance work items are all different. The location where each maintenance consumable is stored may also be different due to warehousing management.
S130: the staff members with corresponding maintenance skills required to perform the maintenance work event are determined, along with availability and location information for each of the staff members.
Likewise, the maintenance skills of the personnel required for different maintenance work items may vary. For example, maintenance of sensors of electrical equipment requires professional sensor personnel, while maintenance of transformers of electrical equipment requires professional transformer personnel, personnel availability (e.g., whether to leave, whether to perform maintenance work somewhere), and location information (where the personnel are distributed) all differ.
S140: calculating the time t1 required for all the maintenance consumables to be transported from the corresponding stored sites to the electric power equipment respectively according to all the sites where the maintenance consumables are stored and the sites of the electric power equipment.
More specifically, the "calculating the time t1 required for the maintenance consumable to be transported from the stored location to the electric power equipment according to all the locations where the maintenance consumable is stored and the location of the electric power equipment" includes:
selecting an optimal transportation mode according to the type of the maintenance consumables, all stored places, comprehensive cost factors and time factors;
calculating a time t1 required for the maintenance consumables to be shipped from the stored location to the power equipment as a function of the transportation mode, resulting in a set of times t 1.
S150: and calculating the time t2 required by all the workers to respectively reach the power equipment according to the availability and the position information of the workers.
More specifically, the "calculating the time t2 required for all the staff members to respectively reach the power equipment according to the availability and the location information of the staff members" includes:
determining a plurality of vehicles which can be selected by the staff arriving at the electric power equipment according to the availability and the position information of the staff;
inquiring travel information of different vehicles, wherein the travel information comprises shift information, road condition information and weather information, and calculating time t2 required by the staff to reach the electric power equipment by taking different vehicles, so that time t2 required by each staff with corresponding maintenance skills to reach the electric power equipment can be obtained, and a set of time t2 is obtained.
S160: and determining the shortest time required for completing the maintenance work items of the power equipment according to the time t1, the time t2 and the historical information of the time required for the staff to complete the maintenance work items of the type, thereby determining the place for storing the maintenance consumables to be transported and the staff for executing the maintenance work items.
More specifically, the "determining the minimum time required to complete the maintenance work items of the power equipment based on the time t1, the time t2, and the historical information of the time required for the worker to complete the maintenance work items of the type" includes:
and determining the shortest time required for completing the maintenance work items of the electric power equipment according to the weight of the time t1, the weight of the time t2 and the weight of the required time.
Through the scheme, the maintenance work of the power equipment can be performed in a more orderly manner, the work of each worker can be better arranged, the maintenance work is more timely and efficient, and the power equipment can be recovered to operate in the optimal time to ensure normal power supply.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and the above embodiments are only used for explaining the claims. The scope of the invention is not limited by the description. Any changes or substitutions that can be easily made by those skilled in the art within the technical scope of the present disclosure are included in the scope of the present invention.
Claims (5)
1. An intelligent maintenance method for power equipment is characterized by comprising the following steps:
determining maintenance work items required to be carried out by the electric power equipment according to the acquired running state information of the electric power equipment;
determining maintenance consumables required for performing the maintenance work items and all places where the maintenance consumables are stored;
determining staff with corresponding maintenance skills required to perform the maintenance work item and availability and location information for each of the staff;
calculating the time t1 required for all the maintenance consumables to be respectively transported from the corresponding stored sites to the electric power equipment according to all the sites where the maintenance consumables are stored and the sites of the electric power equipment;
calculating the time t2 required by all the workers to reach the power equipment respectively according to the availability and the position information of the workers;
and determining the shortest time required for completing the maintenance work items of the power equipment according to the time t1, the time t2 and the historical information of the time required for the staff to complete the maintenance work items of the type, thereby determining the place for storing the maintenance consumables to be transported and the staff for executing the maintenance work items.
2. The intelligent maintenance method for the electric power equipment according to claim 1, wherein the "determining the maintenance work items required to be performed by the electric power equipment according to the acquired operation state information of the electric power equipment" comprises:
shooting the power equipment to obtain a plurality of equipment images;
inputting the device image into a convolutional neural network for learning to generate a panoramic image of the power device;
acquiring position information of each part of the power equipment according to the panoramic image;
querying a database according to the position information of each component to determine the type of each component and maintain a historical record;
and determining maintenance work items required to be carried out by the power equipment according to the types of the components and the maintenance history.
3. The intelligent maintenance method for the electric power equipment according to claim 1, wherein the "determining the minimum time required for completing the maintenance work items of the electric power equipment according to the time t1, the time t2 and the historical information of the time required for the staff to complete the maintenance work items of the type" comprises:
and determining the shortest time required for completing the maintenance work items of the electric power equipment according to the weight of the time t1, the weight of the time t2 and the weight of the required time.
4. The intelligent maintenance method for electric power equipment according to claim 1, wherein the "calculating time t1 required for the maintenance consumable to be transported from the stored place to the electric power equipment according to all the places where the maintenance consumable is stored and the places of the electric power equipment" comprises:
selecting an optimal transportation mode according to the type of the maintenance consumables, all stored places, comprehensive cost factors and time factors;
calculating a time t1 required for the maintenance consumables to be shipped from the stored location to the power equipment as a function of the transportation mode, resulting in a set of times t 1.
5. The intelligent maintenance method for the power equipment according to claim 1, wherein the step of calculating the time t2 required for all the staff members to respectively reach the power equipment according to the availability and the location information of the staff members comprises:
determining a plurality of vehicles which can be selected by the staff arriving at the electric power equipment according to the availability and the position information of the staff;
inquiring travel information of different vehicles, wherein the travel information comprises shift information, road condition information and weather information, and calculating time t2 required by the staff to arrive at the power equipment by taking different vehicles to obtain a set of time t 2.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110032207.7A CN112767192A (en) | 2021-01-11 | 2021-01-11 | Intelligent maintenance method for power equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110032207.7A CN112767192A (en) | 2021-01-11 | 2021-01-11 | Intelligent maintenance method for power equipment |
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| CN112767192A true CN112767192A (en) | 2021-05-07 |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008204407A (en) * | 2007-02-22 | 2008-09-04 | Fujitsu Fsas Inc | Maintenance management method and maintenance management system |
| CN106790414A (en) * | 2016-12-01 | 2017-05-31 | 武汉大思想信息股份有限公司 | City equipment management and maintenance method and system based on big data |
| CN108416490A (en) * | 2018-01-15 | 2018-08-17 | 全球能源互联网研究院有限公司 | A kind of electric communication operation and maintenance information-pushing method and system |
| CN110689531A (en) * | 2019-09-23 | 2020-01-14 | 云南电网有限责任公司电力科学研究院 | Automatic power transmission line machine inspection image defect identification method based on yolo |
| CN111428629A (en) * | 2020-03-23 | 2020-07-17 | 深圳供电局有限公司 | Substation operation monitoring method, state determination method and unmanned aerial vehicle inspection system |
| CN111462311A (en) * | 2020-03-31 | 2020-07-28 | 北京小米松果电子有限公司 | Panorama generation method and device and storage medium |
-
2021
- 2021-01-11 CN CN202110032207.7A patent/CN112767192A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008204407A (en) * | 2007-02-22 | 2008-09-04 | Fujitsu Fsas Inc | Maintenance management method and maintenance management system |
| CN106790414A (en) * | 2016-12-01 | 2017-05-31 | 武汉大思想信息股份有限公司 | City equipment management and maintenance method and system based on big data |
| CN108416490A (en) * | 2018-01-15 | 2018-08-17 | 全球能源互联网研究院有限公司 | A kind of electric communication operation and maintenance information-pushing method and system |
| CN110689531A (en) * | 2019-09-23 | 2020-01-14 | 云南电网有限责任公司电力科学研究院 | Automatic power transmission line machine inspection image defect identification method based on yolo |
| CN111428629A (en) * | 2020-03-23 | 2020-07-17 | 深圳供电局有限公司 | Substation operation monitoring method, state determination method and unmanned aerial vehicle inspection system |
| CN111462311A (en) * | 2020-03-31 | 2020-07-28 | 北京小米松果电子有限公司 | Panorama generation method and device and storage medium |
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