Method for online calculating number of repeated overhaul times of same fan based on work tickets

Abstract

The invention discloses a method for online calculating the number of repeated overhaul times of the same fan based on work tickets, and the method comprises the following steps: 1), collecting work tickets which are allowed to be started on the same day of a statistics day T0 from a wind field production management system, and forming a set A0; (2) rejecting work tickets in an invalid state from the set A0 to form a set A; 3) from n work tickets of the set A, taking a work ticket fan ID field as a query main key; 4) querying the work tickets which have the same query main keys and are allowed to be started in the statistical time range from the wind field production management system according to the query main key Ki of each work ticket to form a work ticket set Bi; 5) rejecting work tickets which are in an invalid state from the work ticket set Bi to form a set Ci; 6) indicating that the number mi of the work tickets in the set Ci is the number of repeated overhaul times of the fan corresponding to the query main key Ki; (7) returning to the step (4), and continuing to calculate the repeated overhaul times of other fans by taking Ki + 1 as a query main key until i + 1 is equal to n; and (8) obtaining the number of times of repeated overhauling of the fan overhauled in the statistical day within the statistical time range. The invention provides a scientific and rapid index acquisition method for a production management department.

Description

technical field [0001] The invention belongs to the technical field of wind power operation and maintenance, and specifically relates to a method for online calculation of repeated maintenance times of the same wind turbine based on a work ticket. Background technique [0002] Improving the availability of equipment is an important goal of wind farm operation and maintenance, and improving the quality of maintenance and reducing the number of maintenance of wind turbines is an important part of the work. The number of repeated inspections of the same fan refers to the total number of inspections of the fan that has been inspected on the day of statistics, and the total number of various inspections that have occurred in the past period of time, including fault elimination and regular maintenance. This data is an important indicator for the management department to supervise and evaluate the daily production of wind farms. It is used to measure the operation and maintenance m...

AI Technical Summary

Problems solved by technology

This data is an important indicator for the management department to supervise and evaluate the daily production of wind farms. It is used to measure the operation and maintenance management level of each wind farm. The current method is for wind farm operators to manually judge by consulting the historical data of wind farm fan operation and maintenance. , but due to the large number of wind turbines, the large time span, and the heavy workload of analysis, it is difficult for the staff to make accurate judgments, and the entire process cannot be effectively supervised and controlled. As a result, the management department cannot grasp the real production overview of the wind farm and affect production decisions.

In addition, some technologies try to use the real-time status of the fan to calculate this indicator, but the maintenance (or service) status based on the PLC status of the fan cannot identify the reason why the fan is placed in the maintenance status. Some non-maintenance services will also cause the fan to change to the maintenance status. There are large flaws in the logic, which affect the application of this method

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