CN112507512A - Power equipment temperature rise load performance index characteristic diagnosis method, electronic equipment and storage medium - Google Patents
Power equipment temperature rise load performance index characteristic diagnosis method, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention provides a method for diagnosing temperature rise load performance index characteristics of power equipment, which comprises the following steps: defining the temperature rise load performance index characteristic of the equipment, diagnosing a temperature rise load performance index characteristic curved surface transition diagram, diagnosing a temperature rise load performance index characteristic parameter and diagnosing the variation trend of the temperature rise load performance index characteristic parameter. The present invention relates to an electronic device and a storage medium for executing a method for diagnosing a temperature rise load performance index characteristic of an electric power device. The invention well solves the inherent problems in the state monitoring and diagnosis of the power equipment, is an important means for realizing the state maintenance management of the power equipment and improving the lean level of the power production operation management, improves the accuracy and the reliability of the monitoring and diagnosis of the power equipment, designs and formulates the fault diagnosis index for judging the operation state, the fault state, the health state and the hidden danger early warning of the equipment, and realizes the alarm in case of accident, early warning in advance and comprehensive diagnosis.
Description
Technical Field
The invention relates to the technical field of on-line monitoring of power equipment, in particular to a method for diagnosing temperature rise load performance index characteristics of the power equipment, electronic equipment and a storage medium.
Background
In recent years, with the global energy problem becoming more severe, research work on smart grids is being carried out in all countries around the world. The final goal of the smart grid is to build a panoramic real-time system covering the whole production process of the power system, including multiple links of power generation, power transmission, power transformation, power distribution, power utilization, scheduling and the like. The monitoring and diagnosis of the state of the power equipment is an important component of the smart grid, and the implementation of the key technology can prolong the service life of the equipment, reduce the occurrence of sudden faults and improve the power supply reliability of the power equipment, so that the power equipment is widely applied to a power system.
The online monitoring data of the power equipment is increased in real time, the current sensor and the temperature sensor are gradually popularized and used, the monitoring data volume is extremely large, and the monitoring data generation speed is extremely high. Especially on load current heating type power equipment, such as power switch cabinets, cables and the like. In the industry, a large amount of load current and temperature data of field equipment are collected, most of the load current and temperature data only adopt threshold judgment to perform an alarm function, and the condition monitoring of the power equipment has the defect of insufficient diagnosis and early warning functions, so that the comprehensive popularization and application of the condition monitoring technology of the power equipment are greatly restricted.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a method for diagnosing the temperature rise load performance index characteristics of the power equipment, well solves the inherent problems in the state monitoring and diagnosis of the power equipment, and is an important means for realizing the state maintenance management of the power equipment and improving the lean level of the power production operation management.
The invention provides a method for diagnosing temperature rise load performance index characteristics of power equipment, which comprises the following steps of:
defining the temperature rise load performance index characteristic of the equipment, fitting the temperature rise load performance index value of the equipment with a function of conductor temperature and environment temperature to serve as the temperature rise load performance index characteristic of the equipment, and calling a correlation linear equation as an equipment temperature rise load performance index characteristic equation for a specific sensor and a monitoring part;
diagnosing a temperature rise load performance index characteristic curved surface transition diagram, calculating characteristic equation parameters through the equipment temperature rise load performance index characteristic equation, drawing three-dimensional characteristic curved surfaces, superposing each three-dimensional characteristic curved surface to form a three-dimensional characteristic distribution space, setting a characteristic allowable space domain of the three-dimensional characteristic distribution space, and judging the equipment fault state through the characteristic allowable space domain;
diagnosing temperature rise load performance index characteristic parameters, calculating characteristic equation parameters through the equipment temperature rise load performance index characteristic equation, setting an allowable range of the characteristic equation parameters, and judging the fault state of equipment through the allowable range;
diagnosing the variation trend of the characteristic parameters of the temperature rise load performance indexes, calculating the variation trend of the characteristic equation parameters, setting the allowable deviation range of the variation trend of the characteristic equation parameters, and judging the fault state of the equipment according to the allowable deviation range.
Further, the characteristic equation of the temperature rise load performance index of the equipment is as follows:
KRλ＝a1T1+a2T0+a3
T1∈[273.15，393.15]K，T0∈[273.15，353.15]K
wherein, a1Corresponding to loop resistivity coefficient, a2Heat transfer coefficient of heat resistance corresponding to heat transfer to environment, a3Is a reference value.
Further, the step of diagnosing the temperature rise load performance index characteristic curved surface transition diagram comprises the following steps of:
drawing a three-dimensional characteristic curved surface, and passing the temperature rise load of the equipment in each monitoring periodThe characteristic equation can be indexed, a group of characteristic equation parameters are calculated and obtained, and T is used for representing the characteristic equation in a three-dimensional drawing space1Is the x-axis, T0Is the y-axis, KRλDrawing a characteristic curved surface for the z axis;
drawing a three-dimensional characteristic distribution space, and in a plurality of long-time monitoring periods, in the same three-dimensional drawing space, superposing and drawing the characteristic curved surfaces of each monitoring period to form a group of characteristic curved surfaces, wherein the range surrounded by all the characteristic curved surfaces is called the three-dimensional characteristic distribution space;
setting a characteristic allowable space domain, and respectively setting and drawing upper and lower boundary threshold value curved surfaces in the same three-dimensional drawing space as the boundary of a three-dimensional characteristic distribution space, wherein the space surrounded by the upper and lower boundary threshold value curved surfaces is called as the characteristic allowable space domain;
and diagnosing the result, wherein if the three-dimensional characteristic curved surface exceeds the characteristic allowable space domain, the three-dimensional characteristic curved surface is in an abnormal state.
Further, in the step of setting the characteristic allowable space domain, the upper boundary threshold surface equation is as follows:
KRλ＝a1T1+a2T0+a3，a1＝0.034，a2＝-0.027，a3＝10.1
the lower boundary threshold surface equation is:
KRλ＝a1T1+a2T0+a3，a1＝0.034，a2＝-0.027，a3＝4.1。
further, the step of diagnosing the result further comprises diagnosing a specific KRλAnd calculating a corresponding boundary threshold value according to monitoring data by adopting the upper boundary threshold value surface equation and the lower boundary threshold value surface equation for diagnosis.
Further, in the result diagnosis step, if the upper boundary is exceeded, it is determined that the temperature rise load performance of the equipment is abnormal; and if the lower boundary is exceeded, judging that the monitoring system is abnormal.
Further, the step of diagnosing the characteristic parameter of the temperature rise load performance index comprises the following steps:
expressing a characteristic parameter function, calculating and obtaining a group of characteristic equation parameters (a) through a temperature rise load performance index characteristic equation of the equipment in each monitoring period1，a2，a3) Obtaining a series of sets of equation parameters in a plurality of monitoring periods of long time;
threshold diagnosis of characteristic parameters, setting characteristic equation parameters (a)1，a2) Is within the allowable range of (a)1If the upper limit is exceeded, the equipment load performance type fault is judged; if a1If the lower limit is exceeded, the monitoring system is judged to be abnormal; if a2If the upper limit is exceeded, judging that the environmental condition of the equipment is abnormal; if a2And if the lower limit is exceeded, judging that the environmental condition of the equipment is optimized.
Further, the step of diagnosing the variation trend of the characteristic parameter of the temperature rise load performance index comprises the following steps:
calculating the variation trend of the characteristic parameters, and obtaining the variation trend of the characteristic parameters by calculating the time derivative of the function of the characteristic equation parameters, wherein the formula is as follows:
respectively calculate and plot a1′(t)，a2′(t)，a3' (t) trend line over time;
diagnosing the variation trend of the characteristic parameter if a1If the value of't' exceeds the upper limit, the potential risk of the equipment load performance is judged; if a1' (t) exceeding the lower limit, determining that the monitoring system is abnormal; when the heat dissipation condition of the equipment is changed, a2(t) a tendency shift occurs if2' (t) if exceeding the upper limit, judging that the environmental condition of the equipment is optimized; if a2If' (t) exceeds the lower limit, it is determined that the environmental condition of the apparatus is deteriorated.
An electronic device, comprising: a processor; a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for executing the power plant temperature rise load performance indicator characteristic diagnostic method.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a method of diagnosing a temperature rise load performance indicator characteristic of an electrical power plant.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a method for diagnosing temperature rise load performance index characteristics of power equipment, which comprises the following steps of: defining the temperature rise load performance index characteristic of the equipment, fitting the temperature rise load performance index value of the equipment with a function of conductor temperature and environment temperature to serve as the temperature rise load performance index characteristic of the equipment, and calling a correlation linear equation as an equipment temperature rise load performance index characteristic equation for a specific sensor and a monitoring part; diagnosing a temperature rise load performance index characteristic curved surface transition diagram, calculating characteristic equation parameters through an equipment temperature rise load performance index characteristic equation, drawing three-dimensional characteristic curved surfaces, superposing each three-dimensional characteristic curved surface to form a three-dimensional characteristic distribution space, setting a characteristic allowable space domain of the three-dimensional characteristic distribution space, and judging the equipment fault state through the characteristic allowable space domain; diagnosing temperature rise load performance index characteristic parameters, calculating characteristic equation parameters through an equipment temperature rise load performance index characteristic equation, setting an allowable range of the characteristic equation parameters, and judging the equipment fault state through the allowable range; diagnosing the variation trend of the characteristic parameters of the temperature rise load performance indexes, calculating the variation trend of the parameters of the characteristic equation, setting the allowable deviation range of the variation trend of the parameters of the characteristic equation, and judging the fault state of the equipment according to the allowable deviation range. The present invention relates to an electronic device and a storage medium for executing a method for diagnosing a temperature rise load performance index characteristic of an electric power device. The invention well solves the inherent problems in the state monitoring and diagnosis of the power equipment, is an important means for realizing the state maintenance management of the power equipment and improving the lean level of the power production operation management, improves the accuracy and the reliability of the monitoring and diagnosis of the power equipment, designs and formulates the fault diagnosis index for judging the operation state, the fault state, the health state and the hidden danger early warning of the equipment, and realizes the alarm in case of accident, early warning in advance and comprehensive diagnosis.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method for diagnosing temperature rise load performance index characteristics of an electrical device according to the present invention
FIG. 2 is a flowchart of the temperature rise load performance index characteristic curve transition diagram diagnosis steps.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
The method for diagnosing the temperature rise load performance index characteristics of the power equipment, as shown in fig. 1, comprises the following steps:
defining the characteristic of the temperature rise load performance index of the equipment, and under any steady state condition, aiming at a specific sensor and a monitoring part, the temperature rise load performance index K of the equipmentRλThe value is a stable constant. KRλThe values will move slowly with changes in conductor temperature and ambient temperature. Due to the total resistance R and the conductor temperature T of the loop1Linearly related and having a heat dissipation coefficient lambda from the monitored location to the environmental reference point and a conductor temperature T1And the ambient temperature T0And is approximately linearly related, so the temperature rise load performance index of the equipment is approximately linearly related to the conductor temperature T. Linear function is adopted to carry out temperature rise load performance index K on equipmentRλValue and conductor temperatureAnd function of ambient temperature KRλ(T1，T0) And fitting is carried out, and the fitting is used as a temperature rise load performance index characteristic of the equipment, also called as a temperature rise load performance index characteristic equation, and is expressed into a three-dimensional curved surface in a geometric form, so that the fitting is also called as a characteristic curved surface.
In the tracking diagnosis of long-term data, the load current and temperature relation model coefficient K is usedRλThe study was performed as a function. For characteristic function KRλ(T1，T0) And long-term tracking is carried out, so that the running state and the fault state of the equipment can be diagnosed.
For a specific sensor and a monitoring part, a correlation linear equation called as an equipment temperature rise load performance index characteristic equation is as follows:
KRλ＝a1T1+a2T0+a3
T1∈[273.15，393.15]K，T0∈[273.15，353.15]K
wherein, a1Corresponding to loop resistivity coefficient, a2Heat transfer coefficient of heat resistance corresponding to heat transfer to environment, a3Is a reference value. For a particular sensor and monitored equipment, a1，a2，a3Is a constant coefficient determined. Under the normal condition of equipment, in a short period, the empirical coefficient of the characteristic equation of the temperature rise load performance index of the equipment can be obtained by analyzing and fitting experimental data. Through steady-state experimental data, three coefficient empirical values can be obtained by only measuring monitoring data of 3 or more different states to form a simultaneous equation set. In this embodiment, the condition is monitored by a temperature measuring sensor at a 400A cable outlet connector of a low-voltage cabinet produced in a certain country, and the original characteristic equation parameters are as follows: a is1＝0.034，a2＝-0.027，a3＝8.1。
Diagnosing a temperature rise load performance index characteristic curved surface transition diagram, calculating characteristic equation parameters through an equipment temperature rise load performance index characteristic equation, drawing three-dimensional characteristic curved surfaces, superposing each three-dimensional characteristic curved surface to form a three-dimensional characteristic distribution space, setting a characteristic allowable space domain of the three-dimensional characteristic distribution space, and judging the equipment fault state through the characteristic allowable space domain. Specifically, as shown in fig. 2, the method includes the following steps:
and drawing a three-dimensional characteristic curved surface, setting the time of one week as one monitoring period in each monitoring period in actual engineering, and calculating a group of characteristic equation parameters according to a solving method of the equipment temperature rise load performance index characteristic equation, namely obtaining the characteristic equation in the period. In a three-dimensional mapping space, with T1Is the x-axis, T0Is the y-axis, KRλDrawing a characteristic curved surface for the z axis;
drawing a three-dimensional characteristic distribution space, superposing and drawing the characteristic curved surfaces of each monitoring period in the same three-dimensional drawing space in a plurality of long-time monitoring periods to form a group of characteristic curved surfaces, wherein the range enclosed by all the characteristic curved surfaces is called the three-dimensional characteristic distribution space, and the physical meaning is KRλThe distribution state of values under different working and environmental conditions.
Setting a characteristic allowable space domain, setting and drawing upper and lower boundary threshold value curved surfaces in the same three-dimensional drawing space respectively to be used as boundaries of a three-dimensional characteristic distribution space, and defining the space as the characteristic allowable space domain. For normal equipment, KRλHas a certain allowable variation range (threshold value), and if the allowable variation range exceeds the allowable range, the abnormal state is detected. In the diagnosis transition diagram, upper and lower boundary threshold value curved surfaces are set, corresponding to K under different conditionsRλThe threshold boundary of (2).
The upper boundary threshold surface equation is:
KRλ＝a1T1+a2T0+a3，a1＝0.034，a2＝-0.027，a3＝10.1
the lower boundary threshold surface equation is:
KRλ＝a1T1+a2T0+a3，a1＝0.034，a2＝-0.027，a3＝4.1。
the lower boundary value is smaller because KRλThe smallerThe better the temperature rise load performance of the representative equipment, but for a specific equipment, the temperature rise load performance has a limit, and when the calculation result of exceeding the limit is generated, the temperature rise load performance of the equipment is not improved, but the monitoring system is abnormal.
And diagnosing as a result that the three-dimensional characteristic curved surface is in an abnormal state if the three-dimensional characteristic curved surface exceeds the characteristic allowable space domain.
And (4) diagnosing the characteristic transition diagram, wherein all three-dimensional characteristic curved surfaces are within the range of the characteristic allowable space domain, and if the three-dimensional characteristic curved surfaces exceed the range, the three-dimensional characteristic curved surfaces are abnormal.
Feature passage threshold diagnosis for a specific one of KRλAnd calculating a corresponding boundary threshold value according to the monitoring data by adopting an upper boundary threshold value and a lower boundary threshold value curved surface equation for diagnosis.
The two judgment modes are equivalent diagnosis methods, and the diagnosis conclusion is the same. Exceeding the upper boundary, and judging that the temperature rise load performance of the equipment is abnormal; and if the lower boundary is exceeded, judging that the monitoring system is abnormal.
When the temperature rise load performance states of the equipment are different, a1，a2，a3Corresponding changes occur according to a above1，a2，a3Physical meaning, judgment (a)1(t)，a2(t)，a3(t)) the magnitude of the value, compared with the allowable threshold range, can be used to determine the state of the temperature rise load performance of the electrical equipment. Due to a3The function of adjusting the reference value in the characteristic function is realized, and parameter analysis is not needed.
And diagnosing the temperature rise load performance index characteristic parameters, calculating characteristic equation parameters through an equipment temperature rise load performance index characteristic equation, setting an allowable range of the characteristic equation parameters, and judging the fault state of the equipment through the allowable range. The method specifically comprises the following steps:
expressing a characteristic parameter function, in the actual engineering, calculating to obtain a group of characteristic equation parameters (a) through an equipment temperature rise load performance index characteristic equation in each monitoring period1，a2，a3) Obtaining a series of data over a plurality of monitoring periods over a long period of timeThe set of equations parameters of the columns, expressed in matrix form, is:
a1＝[a1(t1)，a1(t2)，…，a1(tn)]
a2＝[a2(t1)，a2(t2)，…，a2(tn)]
expressed in geometric form as: each value of each parameter is plotted on a two-dimensional plane with time as the horizontal axis and the parameter value as the vertical axis, and adjacent points are connected to form a smooth curve, thereby forming a trend line of each parameter.
Expressed in functional form as: each of the above trend lines is expressed as a function: (a)1(t)，a2(t)). When needed, the function expression of the parameters can be subjected to a numerical fitting method to obtain a specific function form. However, in the diagnosis of the method, only the change trend of each parameter needs to be judged, and the calculation of function fitting does not need to be carried out.
Threshold diagnosis of characteristic parameters, setting characteristic equation parameters (a)1，a2) All calculated characteristic equation parameters (a)1，a2) It should be within the above-mentioned allowable range, and if it is out of the range, it is abnormal. If a1If the upper limit is exceeded, the fault is judged to be a device load performance fault (the contact resistance is too large, and the local overheating is caused); if a1If the lower limit is exceeded, the monitoring system is judged to be abnormal; if a2If the upper limit is exceeded, the environmental condition of the equipment is judged to be abnormal (for example, the heater in the cabinet is overheated, the heat dissipation channel is abnormally blocked, and the heat dissipation fan is in fault); if a2If the lower limit is exceeded, the environmental condition of the equipment is judged to be optimized (for example, the cooling fan is started, the external air conditioner is started, and the like). Preferably, the allowable ranges are: a is1∈(0.025，0.045)，a2∈(-0.037，-0.017)。
When the temperature rise load performance of the equipment begins to change, a1，a2Corresponding changes occur, but initially the change is not significant, but a1(t)，a2(t) tendency is remarkableAnd (4) changing. Namely, judge a1′(t)，a2't' is used to determine the trend of the temperature rise load performance of the electrical equipment. When the equipment has hidden trouble (the fault has not occurred), a1(t)，a2(t) a trend change occurs. Since a3 is used as a reference value adjustment function in the characteristic function, no parameter trend analysis is needed.
Diagnosing the variation trend of the characteristic parameters of the temperature rise load performance indexes, calculating the variation trend of the parameters of the characteristic equation, setting the allowable deviation range of the variation trend of the parameters of the characteristic equation, and judging the fault state of the equipment according to the allowable deviation range. The method specifically comprises the following steps:
calculating the variation trend of the characteristic parameters, and obtaining the variation trend of the characteristic parameters by calculating the time derivative of the function of the characteristic equation parameters, wherein the formula is as follows:
respectively calculate and plot a1′(t)，a2′(t)，a3' (t) trend line over time;
diagnosing the variation trend of characteristic parameters, ideally, a1，a2Are all close to constant and are mathematically represented as: a is1′(t)≈0，a2' (t) ≈ 0; if a1If the value of't' exceeds the upper limit, the equipment load performance hidden danger is judged (sudden contact resistance change or other heat-causing factors occur); if a1' (t) exceeding the lower limit, determining that the monitoring system is abnormal; when the heat dissipation condition of the equipment is changed, a2(t) a tendency shift occurs if2't' exceeds the upper limit, the environmental condition of the equipment is judged to be optimized (for example, when a cooling fan is started, an external air conditioner is started, a cooling channel is started, and the like); if a2' (t) exceeds the lower limit, it is determined that the environmental condition of the apparatus is deteriorated (for example, the heater in the cabinet is activated, the heat radiation passage is abnormally blocked, the heat radiation fan is out of order, etc.).
Setting a in consideration of system deviation and fluctuation1′(t)，a2' (t) and when the calculated result exceeds the set deviation range, the system gives an abnormal alarm. And the diagnosis index of the temperature rise load performance characteristic function parameter trend is obtained through statistics according to a large amount of empirical data. Preferably, the allowable deviation ranges are: a is1' (t) epsilon (-0.02, 0.02)/day, a2' (t) epsilon (-0.02, 0.02)/day.
The temperature rise load performance index characteristic parameter variation trend diagnosis step can diagnose the hidden danger state of the equipment, namely the transition of the performance degradation of the equipment can be found in a period of time between the occurrence of equipment faults.
An electronic device, comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for executing the power plant temperature rise load performance indicator characteristic diagnostic method.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a method of diagnosing a temperature rise load performance indicator characteristic of an electrical power plant.
The invention provides a method for diagnosing temperature rise load performance index characteristics of power equipment, which comprises the following steps of: defining the temperature rise load performance index characteristic of the equipment, fitting the temperature rise load performance index value of the equipment with a function of conductor temperature and environment temperature to serve as the temperature rise load performance index characteristic of the equipment, and calling a correlation linear equation as an equipment temperature rise load performance index characteristic equation for a specific sensor and a monitoring part; diagnosing a temperature rise load performance index characteristic curved surface transition diagram, calculating characteristic equation parameters through an equipment temperature rise load performance index characteristic equation, drawing three-dimensional characteristic curved surfaces, superposing each three-dimensional characteristic curved surface to form a three-dimensional characteristic distribution space, setting a characteristic allowable space domain of the three-dimensional characteristic distribution space, and judging the equipment fault state through the characteristic allowable space domain; diagnosing temperature rise load performance index characteristic parameters, calculating characteristic equation parameters through an equipment temperature rise load performance index characteristic equation, setting an allowable range of the characteristic equation parameters, and judging the equipment fault state through the allowable range; diagnosing the variation trend of the characteristic parameters of the temperature rise load performance indexes, calculating the variation trend of the parameters of the characteristic equation, setting the allowable deviation range of the variation trend of the parameters of the characteristic equation, and judging the fault state of the equipment according to the allowable deviation range. The present invention relates to an electronic device and a storage medium for executing a method for diagnosing a temperature rise load performance index characteristic of an electric power device. The invention well solves the inherent problems in the state monitoring and diagnosis of the power equipment, is an important means for realizing the state maintenance management of the power equipment and improving the lean level of the power production operation management, improves the accuracy and the reliability of the monitoring and diagnosis of the power equipment, designs and formulates the fault diagnosis index for judging the operation state, the fault state, the health state and the hidden danger early warning of the equipment, and realizes the alarm in case of accident, early warning in advance and comprehensive diagnosis.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; those skilled in the art can readily practice the invention as shown and described in the drawings and detailed description herein; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any changes, modifications, and evolutions of the equivalent changes of the above embodiments according to the actual techniques of the present invention are still within the protection scope of the technical solution of the present invention.
Claims (10)
1. The method for diagnosing the temperature rise load performance index characteristics of the power equipment is characterized by comprising the following steps of:
defining the temperature rise load performance index characteristic of the equipment, fitting the temperature rise load performance index value of the equipment with a function of conductor temperature and environment temperature to serve as the temperature rise load performance index characteristic of the equipment, and calling a correlation linear equation as an equipment temperature rise load performance index characteristic equation for a specific sensor and a monitoring part;
diagnosing a temperature rise load performance index characteristic curved surface transition diagram, calculating characteristic equation parameters through the equipment temperature rise load performance index characteristic equation, drawing three-dimensional characteristic curved surfaces, superposing each three-dimensional characteristic curved surface to form a three-dimensional characteristic distribution space, setting a characteristic allowable space domain of the three-dimensional characteristic distribution space, and judging the equipment fault state through the characteristic allowable space domain;
diagnosing temperature rise load performance index characteristic parameters, calculating characteristic equation parameters through the equipment temperature rise load performance index characteristic equation, setting an allowable range of the characteristic equation parameters, and judging the fault state of equipment through the allowable range;
diagnosing the variation trend of the characteristic parameters of the temperature rise load performance indexes, calculating the variation trend of the characteristic equation parameters, setting the allowable deviation range of the variation trend of the characteristic equation parameters, and judging the fault state of the equipment according to the allowable deviation range.
2. The method for diagnosing temperature rise load performance index characteristics of electric power equipment as claimed in claim 1, characterized in that: the characteristic equation of the temperature rise load performance index of the equipment is as follows:
KRλ＝a1T1+a2T0+a3
T1∈[273.15，393.15]K，T0∈[273.15，353.15]K
wherein, a1Corresponding to loop resistivity coefficient, a2Heat transfer coefficient of heat resistance corresponding to heat transfer to environment, a3Is a reference value.
3. The method for diagnosing the temperature rise load performance index characteristic of the electrical equipment according to claim 2, wherein the step of diagnosing the temperature rise load performance index characteristic curved surface transition diagram comprises the following steps of:
drawing a three-dimensional characteristic curved surface, calculating and obtaining a group of characteristic equation parameters through the temperature rise load performance index characteristic equation of the equipment in each monitoring period, and calculating by T in a three-dimensional drawing space1Is the x-axis, T0Is the y-axis, KRλDrawing a characteristic curved surface for the z axis;
drawing a three-dimensional characteristic distribution space, and in a plurality of long-time monitoring periods, in the same three-dimensional drawing space, superposing and drawing the characteristic curved surfaces of each monitoring period to form a group of characteristic curved surfaces, wherein the range surrounded by all the characteristic curved surfaces is called the three-dimensional characteristic distribution space;
setting a characteristic allowable space domain, and respectively setting and drawing upper and lower boundary threshold value curved surfaces in the same three-dimensional drawing space as the boundary of a three-dimensional characteristic distribution space, wherein the space surrounded by the upper and lower boundary threshold value curved surfaces is called as the characteristic allowable space domain;
and diagnosing the result, wherein if the three-dimensional characteristic curved surface exceeds the characteristic allowable space domain, the three-dimensional characteristic curved surface is in an abnormal state.
4. The electrical equipment temperature rise load performance index characteristic diagnostic method of claim 3, characterized by: in the step of setting the characteristic allowable space domain, the upper boundary threshold surface equation is as follows:
KRλ＝a1T1+a2T0+a3，a1＝0.034，a2＝-0.027，a3＝10.1
the lower boundary threshold surface equation is:
KRλ＝a1T1+a2T0+a3，a1＝0.034，a2＝-0.027，a3＝4.1。
5. the method for diagnosing temperature rise load performance index characteristics of electric power equipment as claimed in claim 4, wherein: the result diagnosing step further comprises diagnosing a specific KRλAnd calculating a corresponding boundary threshold value according to monitoring data by adopting the upper boundary threshold value surface equation and the lower boundary threshold value surface equation for diagnosis.
6. The method for diagnosing temperature rise load performance index characteristics of electric power equipment as claimed in claim 5, wherein: in the result diagnosis step, if the upper boundary is exceeded, the temperature rise load performance of the equipment is judged to be abnormal; and if the lower boundary is exceeded, judging that the monitoring system is abnormal.
7. The method for diagnosing temperature rise load performance index characteristics of electric power equipment according to claim 2, wherein the step of diagnosing the temperature rise load performance index characteristic parameter includes the steps of:
expressing a characteristic parameter function, calculating and obtaining a group of characteristic equation parameters (a) through a temperature rise load performance index characteristic equation of the equipment in each monitoring period1，a2，a3) Obtaining a series of sets of equation parameters in a plurality of monitoring periods of long time;
threshold diagnosis of characteristic parameters, setting characteristic equation parameters (a)1，a2) Is within the allowable range of (a)1If the upper limit is exceeded, the equipment load performance type fault is judged; if a1If the lower limit is exceeded, the monitoring system is judged to be abnormal; if a2If the upper limit is exceeded, judging that the environmental condition of the equipment is abnormal; if a2And if the lower limit is exceeded, judging that the environmental condition of the equipment is optimized.
8. The method for diagnosing temperature rise load performance index characteristics of electric power equipment as claimed in claim 2, characterized in that: the temperature rise load performance index characteristic parameter variation trend diagnosis step comprises the following steps:
calculating the variation trend of the characteristic parameters, and obtaining the variation trend of the characteristic parameters by calculating the time derivative of the function of the characteristic equation parameters, wherein the formula is as follows:
respectively calculate and plot a1′(t)，a2′(t)，a3' (t) trend line over time;
diagnosing the variation trend of the characteristic parameter if a1If the value of't' exceeds the upper limit, the potential risk of the equipment load performance is judged; if a1' (t) exceeds the lower limit,judging that the monitoring system is abnormal; when the heat dissipation condition of the equipment is changed, a2(t) a tendency shift occurs if2' (t) if exceeding the upper limit, judging that the environmental condition of the equipment is optimized; if a2If' (t) exceeds the lower limit, it is determined that the environmental condition of the apparatus is deteriorated.
9. An electronic device, characterized by comprising: a processor; a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for carrying out the method of any one of claims 1-8.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is executed by a processor for performing the method according to any of claims 1-8.
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