CN113627628A - Method for calculating repeated maintenance times of same fan on line based on work ticket - Google Patents
Method for calculating repeated maintenance times of same fan on line based on work ticket Download PDFInfo
- Publication number
- CN113627628A CN113627628A CN202110929831.7A CN202110929831A CN113627628A CN 113627628 A CN113627628 A CN 113627628A CN 202110929831 A CN202110929831 A CN 202110929831A CN 113627628 A CN113627628 A CN 113627628A
- Authority
- CN
- China
- Prior art keywords
- work
- fan
- tickets
- main key
- work ticket
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000004519 manufacturing process Methods 0.000 claims abstract description 20
- 239000002699 waste material Substances 0.000 claims abstract description 3
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000006872 improvement Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for calculating the repeated maintenance times of the same fan on line based on a work ticket, which comprises the following steps: 1) collecting statistical day T from wind farm production management system0The work ticket of the same day permitted to be opened forms a set A0(ii) a 2) From set A0Removing the work tickets with the invalid state to form a set A; 3) taking the ID field of a fan of the work ticket as a query main key from n work tickets in the set A; 4) inquiring main key K with each work ticketiInquiring the work tickets with the same main key and allowed to be opened within the statistical time range from the wind field production management system to form a work ticket set Bi(ii) a 5) From the collection of work tickets BiThe work tickets with the middle rejection state as a waste form a set Ci(ii) a 6) Set CiNumber m of work ticketsiIs to inquire the main key KiThe repeated maintenance times of the corresponding fan; 7) returning to step 4) with Ki+1For queryingThe main key continuously calculates the repeated maintenance times of other fans until i +1 is equal to n; 8) the repeated maintenance times of the fan which is subjected to maintenance on the statistics day within the statistics time range are obtained. 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 maintenance times of the same fan on line based on a work ticket.
Background
The improvement of the availability of equipment is an important target of operation and maintenance of the wind power plant, and the improvement of the maintenance quality and the reduction of the maintenance times of the fans are important work contents. The repeated maintenance times of the same fan refers to counting the total times of various types of maintenance of the fan which is subjected to maintenance on the same day and is in a past time range, and the repeated maintenance times of the same fan comprise failure elimination, regular maintenance and the like. The data is an important index for supervising and evaluating the daily production condition of the wind farm by a management department and is used for measuring the operation and maintenance management level of each wind farm. In addition, the index is calculated by adopting the real-time state of the fan in the prior art, but the reason that the fan is set to be in the maintenance state cannot be identified according to the maintenance (or service) state from the PLC state of the fan, some non-maintenance services can also cause the fan to be in the maintenance state, and the application of the method is influenced due to the fact that a large flaw exists in the judgment logic.
The production management department can flexibly select the statistical time range according to the self management requirements of the enterprise, usually 1 year, 1 month and the like, which brings great pressure to the traditional manual statistical work and has urgent requirements on online calculation statistics.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method for calculating the repeated maintenance times of the same fan on line based on a work ticket, which can be used for integrating parameters such as the work ticket state, the work ticket fan ID, the work ticket authorized start time and the like, calculating and counting the total times of various maintenance performed on the same day on line, and providing a scientific and quick index acquisition method for a production management department to change the traditional manual judgment and filling mode.
In order to achieve the purpose, the invention adopts the following technical scheme:
the method for calculating the repeated maintenance times of the same fan on line based on the work ticket comprises the following steps:
1) collecting statistical day T from wind farm production management system0The work ticket of the same day permitted to be opened forms a set A0；
2) From set A0Removing the work tickets with the invalid state to form a set A;
3) from n work tickets in the set A, the ID field of the fan of the work ticket is used as a query main key Ki，KiRepresenting the query main key of the ith work ticket, wherein i is more than or equal to 1 and less than or equal to n;
4) inquiring main key K with each work ticketiInquiring the work tickets with the same main key and allowed to be opened within the statistical time range from the wind field production management system to form a work ticket set BiThe statistical time range is determined by the production management department, and is usually 1 year or 1 month;
5) from the collection of work tickets BiThe work tickets with the middle rejection state as a waste form a set Ci；
6) Set CiNumber m of work ticketsiIs to inquire the main key KiThe repeated maintenance times of the corresponding fan;
7) returning to step 4) with Ki+1Continuously calculating the repeated maintenance times of other fans for inquiring the main key until i +1 is equal to n;
8) the repeated maintenance times of the fan which is subjected to maintenance on the statistics day within the statistics time range are obtained.
Compared with the prior art, the invention has the following advantages:
the method can synthesize parameters such as the work order state, the work order fan ID, the work order allowed work time and the like, and calculate the repeated maintenance times of the same fan on line, has clear logic, simple algorithm and quick and efficient calculation, provides scientific means for production management departments to master the repeated maintenance conditions of fans of subordinate wind farms, can realize benchmarking between benchmarking and time dimension between wind farms, reduces the influence of human factors in the calculation process, improves the operation and maintenance analysis and decision level of enterprises, and realizes scientific and standard efficient operation and maintenance under the large background of new energy resource basic management.
Drawings
Fig. 1 shows the number of times of repeated maintenance (daily report) of the same fan.
Fig. 2 is a comparison of the number of times of repeated maintenance of the same fan (daily report).
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The method for calculating the repeated maintenance times of the same fan on line based on the work ticket is tested on a wind power intelligent operation and maintenance project, realizes automatic calculation on an intelligent operation and maintenance platform, and becomes an important means for a production management department to supervise wind farm operation and maintenance and carry out performance assessment. Taking a certain wind power company headquarters as an example, the implementation mode of the method is introduced as follows:
1) and collecting and sorting field information of three subordinate wind field work tickets in the wind field production management system, and extracting fields such as the states of the work tickets, fan IDs of the work tickets, the work ticket permission start time and the like.
2) The statistical program collects the work ticket information of the work allowed to be started in the previous day (statistical day) on line at 1 o' clock every morning to form an original work ticket table.
3) And eliminating the working ticket in the invalid state from the original working ticket table to form an effective working ticket.
4) Taking the fan ID field of the work ticket as a query main key from the effective work ticket, and sorting out a query main key table;
5) inquiring the work tickets which have the same main key and are allowed to be opened within the statistical time range from the wind farm production management system by each main key in the main key inquiry table, wherein the statistical time range is set to be 1 month according to the requirements of a production management department;
6) eliminating the working tickets which are in a useless state from the query result in the last step, wherein the number of the remaining working tickets is the number of times of repeated maintenance of the fan corresponding to the current round of query main keys;
7) returning to the step 5), continuously calculating the repeated maintenance times of other fans by the next main inquiry key until the main inquiry keys are inquired;
8) the repeated maintenance times of the fan which is subjected to maintenance on the statistics day within the statistics time range are obtained.
Fig. 1 shows the repeated maintenance frequency (daily report) of the same fan, index data required by the daily report of the previous day (statistical day) is automatically counted and calculated every morning and displayed in the daily production report of the production management department, and a user can flexibly inquire the repeated maintenance frequency of the same fan in a wind field belonging to any date.
Fig. 2 shows the comparison of the repeated overhaul times (daily report) of the same fan to realize the benchmarking between wind fields.
In fig. 1 and 2, a user can randomly select a date, inquire the repeated maintenance times of the same fan of each subordinate wind farm, and provide a basis for the user to master the repeated maintenance general situation of the fan together with the same fault repeated maintenance time index of the same fan, thereby providing an objective and effective means for a production management department to perform operation and maintenance level evaluation and benchmarking.
Claims (2)
1. The method for calculating the repeated maintenance times of the same fan on line based on the work ticket is characterized by comprising the following steps of: the method comprises the following steps:
1) collecting statistical day T from wind farm production management system0The work ticket of the same day permitted to be opened forms a set A0；
2) From set A0Removing the work tickets with the invalid state to form a set A;
3) from the n work tickets of the set a,work ticket fan ID field is used as a main query key Ki，KiRepresenting the query main key of the ith work ticket, wherein i is more than or equal to 1 and less than or equal to n;
4) inquiring main key K with each work ticketiInquiring the work tickets with the same main key and allowed to be opened within the statistical time range from the wind field production management system to form a work ticket set Bi；
5) From the collection of work tickets BiThe work tickets with the middle rejection state as a waste form a set Ci；
6) Set CiNumber m of work ticketsiIs to inquire the main key KiThe repeated maintenance times of the corresponding fan;
7) returning to step 4) with Ki+1Continuously calculating the repeated maintenance times of other fans for inquiring the main key until i +1 is equal to n;
8) the repeated maintenance times of the fan which is subjected to maintenance on the statistics day within the statistics time range are obtained.
2. The method for on-line calculation of the number of repeated overhauls of the same fan based on the work ticket according to claim 1, wherein the method comprises the following steps: and 4), the statistical time range in the step 4) is determined by a production management department and is 1 year or 1 month.
Priority Applications (1)
| 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 |
Applications Claiming Priority (1)
| 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 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113627628A true CN113627628A (en) | 2021-11-09 |
| CN113627628B CN113627628B (en) | 2024-06-11 |
Family
ID=78385292
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110929831.7A Active CN113627628B (en) | 2021-08-13 | 2021-08-13 | Method for online calculating repeated overhaul times of same fan based on working ticket |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113627628B (en) |
Citations (7)
| 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 |
| 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 |
| CN108074197A (en) * | 2016-11-11 | 2018-05-25 | 河北新天科创新能源技术有限公司 | The control method of fan trouble data analysis system |
| CN111445042A (en) * | 2020-03-26 | 2020-07-24 | 华润电力技术研究院有限公司 | Power plant equipment maintenance method, system and device |
| CN111445043A (en) * | 2020-03-26 | 2020-07-24 | 华润电力技术研究院有限公司 | Power plant equipment maintenance method, system and device |
| CN112231361A (en) * | 2020-10-28 | 2021-01-15 | 西安热工研究院有限公司 | Wind power project generating capacity evaluation method based on fan operation data |
| 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 |
-
2021
- 2021-08-13 CN CN202110929831.7A patent/CN113627628B/en active Active
Patent Citations (7)
| 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 |
| 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 |
| CN108074197A (en) * | 2016-11-11 | 2018-05-25 | 河北新天科创新能源技术有限公司 | The control method of fan trouble data analysis system |
| CN111445042A (en) * | 2020-03-26 | 2020-07-24 | 华润电力技术研究院有限公司 | Power plant equipment maintenance method, system and device |
| CN111445043A (en) * | 2020-03-26 | 2020-07-24 | 华润电力技术研究院有限公司 | Power plant equipment maintenance method, system and device |
| CN112231361A (en) * | 2020-10-28 | 2021-01-15 | 西安热工研究院有限公司 | Wind power project generating capacity evaluation method based on fan operation data |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113627628B (en) | 2024-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110674189B (en) | Method for monitoring secondary state and positioning fault of intelligent substation | |
| CN110889088A (en) | Enterprise pollution discharge supervision method assisted by electric model | |
| CN111291076A (en) | Abnormal water use monitoring and alarming system based on big data and construction method thereof | |
| CN107666148B (en) | Line fault studying and judging method based on distribution transformer power failure signal | |
| CN111506635A (en) | System and method for analyzing residential electricity consumption behavior based on autoregressive naive Bayes algorithm | |
| CN114118463B (en) | After-sales market service management system for automobile | |
| CN115062901A (en) | Assessment method for electric power informatization comprehensive performance | |
| CN117094688B (en) | Digital control method and system for power supply station | |
| CN117391357B (en) | Scheduling self-checking system for power grid scheduling operation management based on big data | |
| CN112418548B (en) | Intelligent workshop management method and system based on artificial intelligence technology | |
| CN112417373A (en) | Computing method and device for energy balance of chemical enterprises | |
| CN113627628A (en) | Method for calculating repeated maintenance times of same fan on line based on work ticket | |
| CN115545560A (en) | Wisdom energy visual management platform | |
| CN113642746B (en) | Method for calculating wind field fixed inspection maintenance number or planned shutdown number based on work ticket | |
| AU2010202088C1 (en) | System and method for identifying energy overconsumption | |
| CN110298585B (en) | Hierarchical automatic auditing method for monitoring information of substation equipment | |
| CN114167342A (en) | Evaluation method for running health state of relay protection device | |
| CN113610251A (en) | Method for calculating repeated maintenance times of same fault of fan on line based on defect list | |
| CN113610250B (en) | Method for online calculation of number of wind field fault stops exceeding 24 hours based on defect list | |
| CN113627802B (en) | Method for online calculating number of wind field fault eliminating machine stops based on defect list | |
| CN114819217A (en) | Method for calculating wind field scheduled maintenance or planned shutdown loss electric quantity based on work ticket | |
| CN116579546B (en) | Intelligent electricity consumption data analysis and management system based on park | |
| CN113656455A (en) | Method for calculating number of operating units of wind field output reduction force on line based on defect list | |
| CN116739377B (en) | Power grid equipment-level full life cycle cost evaluation system | |
| CN117335568A (en) | Abnormal user electricity consumption monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |