CN113627628B - Method for online calculating repeated overhaul times of same fan based on working ticket - Google Patents
Method for online calculating repeated overhaul times of same fan based on working ticket Download PDFInfo
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- CN113627628B CN113627628B CN202110929831.7A CN202110929831A CN113627628B CN 113627628 B CN113627628 B CN 113627628B CN 202110929831 A CN202110929831 A CN 202110929831A CN 113627628 B CN113627628 B CN 113627628B
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- 238000004519 manufacturing process Methods 0.000 claims abstract description 21
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000012423 maintenance Methods 0.000 description 16
- 238000004458 analytical method Methods 0.000 description 2
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Abstract
The invention discloses a method for calculating the repeated overhaul times of the same fan on line based on a work ticket, which comprises the following steps: 1) Collecting work tickets which are allowed to start on the day of a statistical day T 0 from a wind field production management system to form a set A 0; 2) Rejecting work tickets with the state of being invalidated from the set A 0 to form a set A; 3) Taking an ID field of a work ticket fan as a query main key from n work tickets in the set A; 4) Inquiring the working tickets which have the same main key and are permitted to start work in the statistical time range from the wind field production management system by using an inquiring main key K i of each working ticket to form a working ticket set B i; 5) Rejecting work tickets with the state of being invalidated from a work ticket set B i to form a set C i; 6) The number m i of the working tickets in the set C i is the number of times of repeated overhauling of the fan corresponding to the main key K i; 7) Returning to the step 4), continuously calculating the repeated overhaul times of other fans by taking K i+1 as a query main key until i+1=n; 8) And obtaining the repeated overhaul times of the fans subjected to the statistical daily overhaul within the statistical time range. The invention provides a scientific and rapid index acquisition method for production management departments.
Description
Technical Field
The invention belongs to the technical field of wind power operation and maintenance, and particularly relates to a method for calculating the repeated overhaul times of the same fan on line based on a work order.
Background
Improving the availability of equipment is an important target of operation and maintenance of a wind farm, and improving maintenance quality and reducing maintenance times of a fan are important working contents. The repeated overhaul times of the same fan are counted to obtain the total overhaul times of various overhauls which occur within a period of time in the past, and the repeated overhaul times comprise fault elimination, periodic maintenance and the like. The data is an important index for supervision and evaluation of daily production conditions of wind farms by a management department and is used for measuring operation and maintenance management levels of the wind farms, and the current method is that wind farm operators manually judge by consulting wind farm fan operation and maintenance history data, but because of the large number of fans and large time span, the analysis workload is heavy, and the workers can hardly accurately judge, and the whole process can not be effectively supervised and controlled, so that the management department can not grasp the actual production appearance of the wind farms, and the production decision is affected. In addition, in the prior art, the real-time state of the fan is adopted to calculate the index, but the maintenance (or service) state based on the PLC state of the fan cannot identify the reason that the fan is set in the maintenance state, and some non-overhauling businesses can also prompt the fan to be in the maintenance state, so that the judgment that the logic has larger flaws, and the application of the method is influenced.
The production management department can flexibly select a statistical time range, usually 1 year, 1 month and the like according to the self management requirements of enterprises, so that a large pressure is brought to the traditional manual statistical work, and the demand on online calculation statistics is urgent.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a method for calculating the repeated overhaul times of the same fan on line based on a working ticket.
In order to achieve the above purpose, the invention adopts the following technical scheme:
The method for calculating the repeated overhaul times of the same fan on line based on the working ticket comprises the following steps:
1) Collecting work tickets which are allowed to start on the day of a statistical day T 0 from a wind field production management system to form a set A 0;
2) Rejecting work tickets with the state of being invalidated from the set A 0 to form a set A;
3) From n working tickets in the set A, taking a working ticket fan ID field as a query main key K i,Ki to represent a query main key of an ith working ticket, wherein i is more than or equal to 1 and less than or equal to n;
4) Inquiring the working tickets which have the same main key and are permitted to start work in a statistical time range from a wind field production management system by using an inquiring main key K i of each working ticket to form a working ticket set B i, wherein the statistical time range is determined by a production management department and is usually 1 year or 1 month;
5) Rejecting work tickets with the state of being invalidated from a work ticket set B i to form a set C i;
6) The number m i of the working tickets in the set C i is the number of times of repeated overhauling of the fan corresponding to the main key K i;
7) Returning to the step 4), continuously calculating the repeated overhaul times of other fans by taking K i+1 as a query main key until i+1=n;
8) And obtaining the repeated overhaul times of the fans subjected to the statistical daily overhaul within the statistical time range.
Compared with the prior art, the invention has the following advantages:
The method has the advantages that parameters such as the working ticket state, the working ticket fan ID, the working ticket allowable working time and the like can be synthesized, the repeated overhaul times of the same fan can be calculated on line, the logic is clear, the algorithm is simple, the calculation is quick and efficient, a scientific means is provided for a production management department to master the repeated overhaul conditions of fans under wind fields, meanwhile, under the large background of new energy localization management, the alignment between alignment and time dimension between wind fields can be realized, the influence of human factors in the calculation process is reduced, the operation and maintenance analysis and decision level of enterprises are improved, and the scientific and normative efficient operation and maintenance are realized.
Drawings
Fig. 1 shows the number of times (daily report) of repeated overhauling of the same fan.
FIG. 2 is a comparison of the number of times of repeated overhauls (daily report) of the same fan.
Detailed Description
The invention is described in further detail below with reference to the drawings and the detailed description.
The method for calculating the repeated overhaul times of the same fan on line based on the working ticket has been tested on the wind power intelligent operation and maintenance project, realizes the automatic calculation on an intelligent operation and maintenance platform, and becomes an important means for production management departments to monitor the operation and maintenance of wind farms and develop performance assessment. Taking a headquarter of a wind power company as an example, an embodiment of the method is described as follows:
1) And collecting and arranging field information of working tickets of three wind fields in the wind field production management system, and extracting the fields of the state of the working ticket, the fan ID of the working ticket, the work ticket permission start time and the like.
2) The statistics program acquires work ticket information of the work permitted to start the day before 1 o' clock in the morning on line to form an original work ticket table.
3) And eliminating the working ticket with the invalid state from the original working ticket table to form an effective working ticket.
4) From the effective working tickets, a working ticket fan ID field is used as a query main key, and a query main key table is arranged;
5) Inquiring working tickets which have the same main key and are permitted to start work in a statistical time range from a wind field production management system by using each main key in an inquiry main key table, wherein the statistical time range is set to be 1 month according to the requirements of production management departments;
6) Rejecting work tickets with the invalid state from the query result of the last step, wherein the number of the remaining work tickets is the number of times of repeated overhauling of the fan corresponding to the primary key of the round of query;
7) Returning to the step 5), continuing to calculate the repeated overhaul times of other fans by using the next main query key until the query of all the main query keys is completed;
8) And obtaining the repeated overhaul times of the fans subjected to the statistical daily overhaul within the statistical time range.
Fig. 1 is a diagram showing the number of times (daily report) of repeated overhauling of the same fan, and the index data required by daily report of the previous day (statistical day) is automatically counted and calculated in the early morning and displayed in the production daily report of the production management department, so that a user can flexibly inquire the number of times of repeated overhauling of the same fan of a subordinate wind field on any date.
Fig. 2 is a comparison (daily report) of the repeated overhauling times of the same fan, and the comparison between wind fields is realized.
In fig. 1 and fig. 2, a user can randomly select a date, inquire the repeated overhaul times of the same fan of each wind power plant, and provide a basis for the user to master the repeated overhaul profile of the fan along with the repeated overhaul times index of the same fault of the same fan, and provide an objective and effective means for carrying out operation and maintenance level evaluation and calibration for a production management department.
Claims (2)
1. The method for calculating the repeated overhaul times of the same fan on line based on the working ticket is characterized by comprising the following steps of: the method comprises the following steps:
1) Collecting work tickets which are allowed to start on the day of a statistical day T 0 from a wind field production management system to form a set A 0;
2) Rejecting work tickets with the state of being invalidated from the set A 0 to form a set A;
3) From n working tickets in the set A, taking a working ticket fan ID field as a query main key K i,Ki to represent a query main key of an ith working ticket, wherein i is more than or equal to 1 and less than or equal to n;
4) Inquiring the working tickets which have the same main key and are permitted to start work in the statistical time range from the wind field production management system by using an inquiring main key K i of each working ticket to form a working ticket set B i;
5) Rejecting work tickets with the state of being invalidated from a work ticket set B i to form a set C i;
6) The number m i of the working tickets in the set C i is the number of times of repeated overhauling of the fan corresponding to the main key K i;
7) Returning to the step 4), continuously calculating the repeated overhaul times of other fans by taking K i+1 as a query main key until i+1=n;
8) And obtaining the repeated overhaul times of the fans subjected to the statistical daily overhaul within the statistical time range.
2. The method for online calculation of the number of times of repeated overhauling of the same fan based on the working ticket according to claim 1, wherein the method comprises the following steps of: the statistical time range of the step 4) is determined by a production management department to be 1 year or 1 month.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110929831.7A CN113627628B (en) | 2021-08-13 | 2021-08-13 | Method for online calculating repeated overhaul times of same fan based on working ticket |
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| CN202110929831.7A CN113627628B (en) | 2021-08-13 | 2021-08-13 | Method for online calculating repeated overhaul times of same fan based on working ticket |
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| CN113627628A CN113627628A (en) | 2021-11-09 |
| CN113627628B true CN113627628B (en) | 2024-06-11 |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105117830A (en) * | 2015-08-11 | 2015-12-02 | 中节能港建（甘肃）风力发电有限公司 | Wind farm production operation and maintenance information collection application system and method |
| CN112633531A (en) * | 2020-12-26 | 2021-04-09 | 北京中恒博瑞数字电力科技有限公司 | Wind power plant operation maintenance system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184442A (en) * | 2015-07-23 | 2015-12-23 | 国网青海省电力公司西宁供电公司 | Power distribution network dispatching management statistical analysis system |
| CN108074197B (en) * | 2016-11-11 | 2021-11-09 | 河北新天科创新能源技术有限公司 | Control method of fan fault data analysis system |
| CN111445042B (en) * | 2020-03-26 | 2023-07-11 | 华润电力技术研究院有限公司 | Maintenance method, system and device for power plant equipment |
| CN111445043B (en) * | 2020-03-26 | 2023-07-11 | 华润电力技术研究院有限公司 | Maintenance method, system and device for power plant equipment |
| CN112231361B (en) * | 2020-10-28 | 2023-08-18 | 西安热工研究院有限公司 | Wind power project power generation amount evaluation method based on fan operation data |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105117830A (en) * | 2015-08-11 | 2015-12-02 | 中节能港建（甘肃）风力发电有限公司 | Wind farm production operation and maintenance information collection application system and method |
| CN112633531A (en) * | 2020-12-26 | 2021-04-09 | 北京中恒博瑞数字电力科技有限公司 | Wind power plant operation maintenance system |
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