CN-121980299-A - Camera state evaluation method and system based on improved dynamic index weight

CN121980299ACN 121980299 ACN121980299 ACN 121980299ACN-121980299-A

Abstract

The invention discloses a camera state evaluation method and system based on improved dynamic index weight, the method comprises the steps of constructing a camera operation state evaluation index system, wherein the index system comprises steady state quantity evaluation indexes and dynamic quantity evaluation indexes, calculating fixed weights of all indexes based on a hierarchical analysis method, calculating dynamic weights of all indexes based on a partial derivative variation coefficient method, calculating comprehensive weight vectors of all indexes by combining the fixed weights and the dynamic weights, carrying out normalization calculation on all indexes based on standard limit values of the camera operation state to obtain normalization values, calculating membership degrees of all indexes by combining actual working conditions based on the normalization values of all indexes, and calculating an evaluation result of the camera operation state by using a fuzzy comprehensive evaluation method based on the comprehensive weight vectors and the membership degrees. The invention has the advantages of high evaluation precision and the like.

Inventors

ZHANG DONGQING
MA CHUNAN
JU YUNTAO
ZHANG CHAOFENG
SHI SHENGCHAO
ZHANG GUOHUA
WANG JIN
LI FEIYI
LI ZUOSHENG
Qi Fuzhi
YANG JIANMING

Assignees

国家电网有限公司直流技术中心
国网湖南省电力有限公司超高压变电公司
国网青海省电力公司电力科学研究院
国网青海省电力公司
国网湖南省电力有限公司
国家电网有限公司
清华海峡研究院（厦门）

Dates

Publication Date: 20260505
Application Date: 20251201

Claims (17)

1. The camera state evaluation method based on the improved dynamic index weight is characterized by comprising the following steps: Constructing an evaluation index system of the running state of the camera, wherein the index system comprises a steady state quantity evaluation index and a dynamic quantity evaluation index; calculating fixed weights of all indexes based on an analytic hierarchy process; Calculating the dynamic weight of each index based on a partial derivative variation coefficient method; combining the fixed weight and the dynamic weight, and calculating the comprehensive weight vector of each index; Based on a standard limit value of the running state of the camera, carrying out normalization calculation on each index to obtain a normalization value; Calculating the membership degree of each index by combining the actual working condition based on the normalized value of each index; Based on the comprehensive weight vector and the membership, calculating an evaluation result of the running state of the camera by using a fuzzy comprehensive evaluation method.
2. The camera state evaluation method based on the improved dynamic index weight according to claim 1, wherein the steady state quantity evaluation index includes a main system index, a cooling system index, and a lubrication system index; the dynamic quantity evaluation index comprises electrical parameters, mechanical parameters and thermal parameters, wherein the electrical parameters comprise stator winding excitation voltage stability, stator current and reactive power output.
3. The camera state evaluation method based on the improved dynamic index weight according to claim 2, wherein the main system index comprises a bearing bush temperature, a bearing seat amplitude, a stator winding temperature, a bearing amplitude and exciting current, the cooling system index comprises an external cooling water temperature change rate, a circulating water backwater temperature, an inlet and outlet water pressure difference, a water outlet temperature, a water inlet flow and a filter pressure difference, and the lubricating system index comprises a lubricating oil kinematic viscosity, moisture, acidity, a lubricating oil inlet temperature, a lubricating oil inlet pressure and a lubricating oil tank oil temperature; The mechanical parameters comprise a bearing amplitude change rate, a spindle rotating speed change rate and a bearing seat amplitude change rate, and the thermal parameters comprise a stator winding temperature change rate, a cooling medium temperature difference change rate and a bearing bush temperature gradient.
4. The camera state evaluation method based on improved dynamic index weight according to claim 1,2 or 3, wherein the specific process of calculating the dynamic weight of each index based on the partial derivative variation coefficient method is as follows: Calculating the deviation variation of each index for the reactive power generated by the camera in unit time; Summing the partial derivative variation of all indexes; and calculating the partial derivative variation coefficient of each index based on the partial derivative variation summation result, and normalizing to obtain a dynamic weight vector.
5. The camera state evaluation method based on the improved dynamic index weight according to claim 1, 2 or 3, wherein the normalization calculation is divided into an upper limit type index and an interval type index according to the index type to be processed respectively; for the upper limit index, the normalized value of the index The method comprises the following steps: Wherein the method comprises the steps of As a raw measurement value, the measurement value, Standard limit values as indexes; For interval type index, normalized value of index The method comprises the following steps: Wherein the method comprises the steps of Is the upper and lower limits of the index 、 Average value of (2); 。
6. The method for evaluating the state of a camera based on improved dynamic index weight according to claim 5, wherein said membership calculation specifically comprises: For the upper limit index, calculating the membership degree by adopting a piecewise function, wherein the membership degree is regarded as a normal state under 80% of rated working conditions, and the membership degree is regarded as an abnormal state over 120%; and for the interval type index, calculating the membership degree by adopting a triangular or trapezoidal membership function, wherein the membership degree is lower as the interval value deviates from the middle value, and the membership degree is optimal at the middle value of the upper limit and the lower limit.
7. The camera state evaluation method based on the improved dynamic index weight according to claim 1, 2 or 3, wherein the specific steps of the fuzzy comprehensive evaluation method include: performing fuzzy operation on the comprehensive weight vector and the membership degree to obtain a primary fuzzy evaluation result; based on the first-level fuzzy evaluation result, the quantitative evaluation result of the running state of the camera is output by combining with the evaluation grade standard.
8. A computer program product comprising a computer program which, when run by a processor, performs the steps of the method according to any one of claims 1-7.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the steps of the method according to any of claims 1-7.
10. A computer system comprising a memory and a processor connected to each other, the memory having stored thereon a computer program which, when run by the processor, performs the steps of the method according to any of claims 1-7.
11. A camera state evaluation system based on improved dynamic index weights, comprising: The index system construction module is used for constructing an evaluation index system of the running state of the camera, wherein the index system comprises a steady state quantity evaluation index and a dynamic quantity evaluation index; The fixed weight calculation module is used for calculating the fixed weight of each index based on an analytic hierarchy process; The dynamic weight calculation module is used for calculating the dynamic weight of each index based on a partial derivative variation coefficient method; the comprehensive weight calculation module is used for calculating the comprehensive weight vector of each index by combining the fixed weight and the dynamic weight; The normalization calculation module is used for carrying out normalization calculation on each index based on the standard limit value of the running state of the camera to obtain a normalization value; the membership calculation module is used for calculating the membership of each index based on the normalized value of each index and combining the actual working condition; and the fuzzy comprehensive evaluation module is used for calculating an evaluation result of the running state of the camera by using a fuzzy comprehensive evaluation method based on the comprehensive weight vector and the membership degree.
12. The camera state evaluation system based on improved dynamic index weight of claim 11, wherein the steady state quantity evaluation index in the index system construction module comprises a main system index, a cooling system index, and a lubrication system index; The dynamic quantity evaluation index comprises an electrical parameter, a mechanical parameter and a change rate thermal parameter, wherein the electrical parameter comprises excitation voltage stability, stator current and reactive power output.
13. The camera state evaluation system based on the improved dynamic index weight of claim 12, wherein the main system index comprises a bearing bush temperature, a bearing seat amplitude, a stator winding temperature, a bearing amplitude and an exciting current, the cooling system index comprises an external cooling water temperature change rate, a circulating water backwater temperature, an inlet and outlet water pressure difference, an outlet water temperature, an inlet water flow and a filter pressure difference, and the lubrication system index comprises a lubricating oil kinematic viscosity, moisture, acidity, a lubricating oil inlet temperature, a lubricating oil inlet pressure and a lubricating oil tank oil temperature; The mechanical parameters comprise a bearing amplitude change rate, a spindle rotating speed change rate and a bearing seat amplitude change rate, and the thermal parameters comprise a stator winding temperature change rate, a cooling medium temperature difference change rate and a bearing bush temperature gradient.
14. The camera state evaluation system based on improved dynamic index weight according to claim 11, 12 or 13, wherein the specific process of calculating the dynamic weight of each index based on the partial derivative variation coefficient method in the dynamic weight calculation module is as follows: Calculating the deviation variation of each index for the reactive power generated by the camera in unit time; Summing the partial derivative variation of all indexes; and calculating the partial derivative variation coefficient of each index based on the partial derivative variation summation result, and normalizing to obtain a dynamic weight vector.
15. The camera state evaluation system based on the improved dynamic index weight according to claim 11, 12 or 13, wherein in the normalization calculation module, the normalization calculation is divided into an upper limit type index and an interval type index according to the index type to be processed respectively; for the upper limit index, the normalized value of the index The method comprises the following steps: Wherein the method comprises the steps of As a raw measurement value, the measurement value, Standard limit values as indexes; For interval type index, normalized value of index The method comprises the following steps: Wherein the method comprises the steps of Is the upper and lower limits of the index 、 Average value of (2); 。
16. the camera state evaluation system based on improved dynamic index weight according to claim 15, wherein the membership calculation module specifically includes: For the upper limit index, calculating the membership degree by adopting a piecewise function, wherein the membership degree is regarded as a normal state under 80% of rated working conditions, and the membership degree is regarded as an abnormal state over 120%; and for the interval type index, calculating the membership degree by adopting a triangular or trapezoidal membership function, wherein the membership degree is lower as the interval value deviates from the middle value, and the membership degree is optimal at the middle value of the upper limit and the lower limit.
17. The camera state evaluation system based on improved dynamic index weight according to claim 11, 12 or 13, wherein in the fuzzy comprehensive evaluation module, the specific steps of the fuzzy comprehensive evaluation method include: performing fuzzy operation on the comprehensive weight vector and the membership degree to obtain a primary fuzzy evaluation result; based on the first-level fuzzy evaluation result, the quantitative evaluation result of the running state of the camera is output by combining with the evaluation grade standard.

Description

Camera state evaluation method and system based on improved dynamic index weight Technical Field The invention mainly relates to the technical field of power equipment detection, in particular to a camera state evaluation method and system based on improved dynamic index weight. Background The double-water internal cooling synchronous regulating machine is a key reactive compensation device in an electric power system, and has important effects of improving the voltage quality of a power grid, enhancing the stability of the system and enhancing the power transmission capacity. At present, the method is widely used in application scenes such as ultra-high voltage direct current transmission systems and large-scale new energy power station grid connection. In view of the fact that the internal structure of the equipment is precise, typical faults such as blockage of a stator waterway, overheating of a rotor winding, exceeding of standard of bearing vibration and the like are easy to occur due to the common influence of multiple factors such as a main system, a lubricating system and a cooling system in the actual operation process. If the faults are not identified and processed in time, the faults may not only cause damage to the equipment body, but also further cause operation accidents of the power grid. At present, for the operation state monitoring of the camera, the conventional periodic inspection and off-line detection means are mainly relied on. The method has a plurality of defects, including untimely updating of the monitoring data, single type of acquisition parameters, strong subjectivity of the evaluation process and the like. For example, in the prior art, key parameters such as the temperature of the stator and the pressure of the waterway are usually measured manually, so that real-time and comprehensive monitoring of the whole operation of the equipment is difficult to realize. In the operation state evaluation link, qualitative judgment is still carried out according to expert experience in most cases, and a set of evaluation index system with quantitative characteristics and a scientific analysis method are not constructed, so that the accuracy of an evaluation conclusion is low, and effective early warning of potential faults is difficult to implement. In addition, once the equipment is abnormal, the existing method is difficult to locate the fault cause in time and generate a targeted operation and maintenance decision, so that the fault processing period is prolonged, and the operation and maintenance cost is correspondingly increased. Therefore, a novel method and system for comprehensively acquiring the operation parameters of the double-water internal cooling synchronous camera in real time are urgently needed to realize scientific and accurate assessment of the operation state of the double-water internal cooling synchronous camera, and an effective operation and maintenance scheme is rapidly generated when equipment is abnormal. By making up for the monitoring blind area and the evaluation deficiency existing in the prior art, the method is expected to provide reliable guarantee for long-term safe and stable operation of the double-water internal cooling synchronous camera. Disclosure of Invention Aiming at the technical problems existing in the prior art, the invention provides a camera state evaluation method and system with high evaluation precision based on improved dynamic index weight. In order to solve the technical problems, the technical scheme provided by the invention is as follows: A camera state evaluation method based on improved dynamic index weight comprises the following steps: Constructing an evaluation index system of the running state of the camera, wherein the index system comprises a steady state quantity evaluation index and a dynamic quantity evaluation index; calculating fixed weights of all indexes based on an analytic hierarchy process; Calculating the dynamic weight of each index based on a partial derivative variation coefficient method; combining the fixed weight and the dynamic weight, and calculating the comprehensive weight vector of each index; Based on a standard limit value of the running state of the camera, carrying out normalization calculation on each index to obtain a normalization value; Calculating the membership degree of each index by combining the actual working condition based on the normalized value of each index; Based on the comprehensive weight vector and the membership, calculating an evaluation result of the running state of the camera by using a fuzzy comprehensive evaluation method. Preferably, the steady state quantity evaluation index includes a main system index, a cooling system index, and a lubrication system index; the dynamic quantity evaluation index comprises electrical parameters, mechanical parameters and thermal parameters, wherein the electrical parameters comprise excitation voltage stability, stator current and re