Full-life-cycle management system and method for online monitoring equipment for gas dissolved in oil

Abstract

The invention relates to the technical field of equipment monitoring, and discloses a full-life-cycle management system and method for online monitoring equipment for gas dissolved in oil, and the method comprises the steps: monitoring the environment state of oil charging equipment through an environment monitoring module, and obtaining the environment information data of the oil charging equipment; monitoring the running state of the oil charging equipment through an oil charging equipment monitoring module to obtain running state data of the oil charging equipment; monitoring the insulating oil state of the oil charging equipment through a gas online monitoring module, and obtaining the fault type of this time; the environment information data and the operation state data are analyzed through an analysis module to obtain the predicted service life duration of the oil charging equipment; and an analysis module performs analysis according to the type of the fault and the predicted service life of the oil-filled equipment to obtain a judgment index, and judges whether the fault of the oil-filled equipment has a maintenance value or not according to the judgment index. According to the invention, the problems of resource waste and time delay caused by blind maintenance of oil charging equipment in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring, and in particular to a full life cycle management system and method for online monitoring equipment for dissolved gas in oil. Background Art

[0002] Oil-filled equipment in the power system (such as transformers) is a key component to ensure the safe and stable operation of the power grid. Oil-filled equipment usually has a sophisticated internal structure, which not only has high construction and maintenance costs, but is also prone to systemic operational failures. Therefore, the safety and stability of the power system depends to a large extent on the operating status of the oil-filled equipment. Once the oil-filled equipment fails, it is very likely to cause a large-scale power outage in the power supply area, which in turn has a significant negative impact on the overall economic and social development.

[0003] During the operation of oil-filled equipment, the internal insulating oil and insulating paper will be affected by internal or external factors such as electricity, heat, water and oxygen, and will be decomposed into characteristic gases that dissolve in the oil; therefore, the type of fault of the oil-filled equipment can be determined by monitoring the type and concentration of the characteristic gases dissolved in the insulating oil through gas online monitoring equipment regularly or when the oil-filled equipment fails.

[0004] However, the above technology still has major defects. For example, in the above technology, if the gas online monitoring equipment detects that the oil filling equipment has a fault, it usually needs to be repaired. However, since different oil filling equipment is located in different positions, the environmental factors are also different. Environmental factors are key external conditions that affect the performance of oil filling equipment. It is difficult for staff to accurately judge whether the oil filling equipment is worth repairing. If the repair is carried out blindly, it may lead to waste of resources, and it may also cause time delays and bring inconvenience to people's daily electricity use. Summary of the Invention

[0005] The purpose of the present invention is to provide a full life cycle management system and method for online monitoring equipment of dissolved gas in oil, which can solve the problems of resource waste and time delay caused by blind maintenance of oil filling equipment in the prior art.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A full life cycle management method for online monitoring equipment for dissolved gas in oil, applicable to oil-filled equipment in power systems, includes the following steps:

[0008] S1: monitoring the environmental status of the oil filling device through the environmental monitoring module to obtain environmental information data of the oil filling device; wherein the environmental information data includes environmental temperature and environmental humidity;

[0009] S2: monitoring the operating status of the oil filling device through the oil filling device monitoring module and obtaining operating status data of the oil filling device; wherein the operating status data includes an operating load rate;

[0010] S3: Monitor the insulating oil status of the oil-filled equipment through the gas online monitoring module, and determine the type of fault based on the insulating oil status;

[0011] S4: Analyze the environmental information data and the operating status data through the analysis module to calculate and generate the expected service life of the oil-filled equipment in the current environment;

[0012] S5: The analysis module performs analysis based on the fault type and the expected service life of the oil filling equipment in the current environment, and calculates and generates a judgment index; based on the judgment index, it is determined whether the fault of the oil filling equipment is worth repairing.

[0013] As a further solution of the present invention: the analysis of the environmental information data and the operating status data to calculate and generate the expected service life of the oil-filled equipment in the current environment includes:

[0014] S10: Analyze the ambient temperature and ambient humidity, and calculate and generate an annual temperature impact index and an annual humidity impact index of the service life of the oil-filled equipment;

[0015] S20: Analyze the operating load rate and calculate the annual load impact index of the service life of the oil-filled equipment;

[0016] S30: Calculate and generate the expected service life of the oil-filled equipment in the current environment based on the annual temperature impact index, the annual humidity impact index, and the annual load impact index.

[0017] As a further solution of the present invention: the annual temperature impact index is calculated and generated by the following formula:

[0018]

[0019] Where T is the annual temperature impact index of the service life of the oil-filled equipment; f(X) is the judgment function, when X>0, f(X)=X; when X≤0, f(X)=0; N is the number of complete years after the oil-filled equipment is put into use, n∈N; W n T is the number of operating hours of the oil-filled equipment in the nth full year after it is put into use; n T is the number of hours that the ambient temperature exceeds the ambient temperature threshold range during the nth full year of operation of the oil-filled equipment after it is put into use; n (t) is the temperature variation curve of the ambient temperature over the operating time in the nth full year after the oil-filled equipment is put into use; [T L ,T h ] is the ambient temperature threshold range; Δtn The operating time of the oil-filled equipment in the nth full year after it is put into use; γ T1 is the first temperature influence weight coefficient; γ T2 is the second temperature influence weight coefficient; C1 is the first preset constant; C2 is the second preset constant; ε is the unit-removed coefficient.

[0020] As a further solution of the present invention: the annual humidity impact index is calculated and generated by the following formula:

[0021]

[0022] Where S is the annual humidity impact index of the oil-filled equipment service life; S n The number of hours that the ambient humidity exceeds the humidity threshold range during the nth full year of operation of the oil-filled equipment after it is put into use; S n (t) is the humidity change curve of the ambient humidity in the nth full year after the oil-filled equipment is put into use versus the operating time; [S L ,S h ] is the ambient humidity threshold range; γ S1 is the first humidity influence weight coefficient; γ S2 The second humidity influence weight coefficient C3 is the third preset constant; C4 is the fourth preset constant.

[0023] As a further solution of the present invention, the annual load impact index of the service life of the oil-filled equipment is calculated by the following formula:

[0024]

[0025] Where F is the annual load impact index of the oil-filled equipment service life; F n The number of hours that the real-time load rate exceeds the corresponding maximum load rate during the nth full year of operation after the oil filling equipment is put into use is calculated by comparing the load rate of the oil filling equipment at each moment with the maximum load rate F at each operating moment. t0 Computational generation; F n (t) is the curve of the change of ambient temperature with the actual load rate during the nth full year after the oil-filled equipment is put into use; F0(t) is the curve of the change of ambient temperature with the maximum load rate during the nth full year after the oil-filled equipment is put into use; γ F1 is the first load influence weight coefficient; γ F2 is the second load influence weight coefficient; C5 is the fifth preset constant; and C6 is the sixth preset constant.

[0026] As a further solution of the present invention, the maximum load rate at each operating moment is calculated and generated by the following formula:

[0027]

[0028] Among them, F t0 is the maximum load rate of the oil-filled equipment at any operating time; t is any operating time; T t is the corresponding ambient temperature at the operating moment; F0 is the preset maximum load rate; T0 is the preset ambient temperature; μ1 is the first adjustment coefficient.

[0029] As a further solution of the present invention, the expected service life of the oil-filled equipment in the current environment is calculated using the following formula:

[0030]

[0031] Among them, L is the expected service life of the oil-filled equipment in the current environment; L0 is the preset service life of the oil-filled equipment; δ1 is the first comprehensive weight coefficient; δ2 is the second comprehensive weight coefficient; δ3 is the third comprehensive weight coefficient; D1 is the No. 1 comprehensive preset constant; D2 is the No. 2 comprehensive preset constant; D3 is the No. 3 comprehensive preset constant.

[0032] As a further solution of the present invention: the judgment index is calculated by the following formula:

[0033]

[0034] Among them, P is the judgment index; H s is the maintenance cost of this fault; H0 is the preset allowable maintenance cost of the oil filling equipment; L S is the length of time the oil-filled equipment has been in use; u2 is the second adjustment coefficient.

[0035] As a further solution of the present invention: the method of judging whether the fault of the oil filling equipment is worth repairing according to the judgment index includes:

[0036] Compare the judgment index P with the preset ratio ω;

[0037] When P≥ω, it is determined that the oil filling equipment has no repair value for this fault;

[0038] When P<ω, it is determined that the fault of the oil-filling equipment is worth repairing.

[0039] It is used for the full life cycle management system of online monitoring equipment for dissolved gas in oil, and the management system includes:

[0040] An environmental monitoring module is used to monitor the environmental status of the oil-filling equipment and obtain environmental information data; wherein the environmental information data includes environmental temperature and environmental humidity;

[0041] The oil filling equipment monitoring module is used to monitor the operating status of the oil filling equipment and obtain the operating status data of the oil filling equipment; wherein the operating status data includes the operating load rate;

[0042] Gas online monitoring module, used to monitor the insulating oil status of oil-filled equipment and determine the type of fault based on the insulating oil status;

[0043] The analysis module is used to analyze the environmental information data and the operating status data, calculate and generate the expected service life of the oil filling equipment in the current environment; then calculate and generate a judgment index based on the type of fault and the expected service life of the oil filling equipment in the current environment; and judge whether the current fault of the oil filling equipment is worth repairing based on the judgment index.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention first obtains the ambient temperature and ambient humidity of the oil-filling equipment through the environmental monitoring module; then obtains the operating load rate of the oil-filling equipment through the oil-filling equipment monitoring module; then monitors the insulating oil status of the oil-filling equipment through the gas online monitoring module and obtains the type of this fault; then analyzes the ambient temperature and ambient humidity through the analysis module to obtain the annual temperature impact index and annual humidity impact index for evaluating the impact of the current environment on the service life of the oil-filling equipment; then analyzes the operating load rate to obtain the annual load impact index for evaluating the impact of the current operating load rate on the service life of the oil-filling equipment; then analyzes the annual temperature impact index, annual humidity impact index and annual load impact index through the analysis module to obtain the expected service life of the oil-filling equipment in the current environment; finally, analyzes the type of this fault and the expected service life of the oil-filling equipment in the current environment to determine whether the current fault of the oil-filling equipment is worth repairing; accurately evaluates the expected service life of the oil-filling equipment according to the environment in which the oil-filling equipment is located and the actual operating conditions, and automatically determines whether it is worth repairing when the oil-filling equipment fails, thereby avoiding resource waste and time delays caused by blind repairs. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below with reference to the accompanying drawings.

[0047] Figure 1 A schematic diagram of a process for a full life cycle management method for online monitoring equipment for dissolved gas in oil provided in one embodiment of the present invention;

[0048] Figure 2 This is a system module framework diagram for a full life cycle management system for online monitoring equipment for dissolved gas in oil provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0050] See also Figure 1 As shown, in order to solve the problem of waste of resources and time delay caused by blind maintenance of oil filling equipment in the prior art, in one embodiment, a full life cycle management system and method for online monitoring equipment of dissolved gas in oil are provided, the method comprising:

[0051] S1: monitoring the environmental status of the oil filling device through the environmental monitoring module to obtain environmental information data of the oil filling device; wherein the environmental information data includes environmental temperature and environmental humidity;

[0052] S2: monitoring the operating status of the oil filling device through the oil filling device monitoring module and obtaining operating status data of the oil filling device; wherein the operating status data includes an operating load rate;

[0053] S3: Monitor the insulating oil status of the oil-filled equipment through the gas online monitoring module, and determine the type of fault based on the insulating oil status;

[0054] S4: Analyze the environmental information data and the operating status data through the analysis module to calculate and generate the expected service life of the oil-filled equipment in the current environment;

[0055] S5: The analysis module performs analysis based on the fault type and the expected service life of the oil filling equipment in the current environment, and calculates and generates a judgment index; based on the judgment index, it is determined whether the fault of the oil filling equipment is worth repairing.

[0056] Through the above technical solution, this embodiment first obtains environmental information data of the oil-filling equipment through the environmental monitoring module; then obtains the operating status data of the oil-filling equipment through the oil-filling equipment monitoring module; then monitors the insulating oil status of the oil-filling equipment through the gas online monitoring module and obtains the type of this fault; then, the environmental information data and the operating status data are analyzed by the analysis module to obtain the expected service life of the oil-filling equipment in the current environment; then, a judgment index is obtained based on the type of this fault and the expected service life of the oil-filling equipment in the current environment, and whether the current fault of the oil-filling equipment is worth repairing is judged based on the judgment index; the expected service life of the oil-filling equipment is accurately assessed based on the environment and actual operating conditions of the oil-filling equipment, and whether it is worth repairing is automatically judged when the oil-filling equipment fails, thereby avoiding waste of resources and time delays caused by blind repairs;

[0057] It should be noted that monitoring the insulating oil status of the oil-filled equipment through a gas online monitoring module and obtaining the type of this fault is a prior art and will not be described in detail here.

[0058] As a further solution of the present invention: the analysis of the environmental information data and the operating status data to calculate and generate the expected service life of the oil-filled equipment in the current environment includes:

[0059] S10: Analyze the ambient temperature and ambient humidity, and calculate and generate an annual temperature impact index and an annual humidity impact index of the service life of the oil-filled equipment;

[0060] S20: Analyze the operating load rate and calculate the annual load impact index of the service life of the oil-filled equipment;

[0061] S30: Calculate and generate the expected service life of the oil-filled equipment in the current environment based on the annual temperature impact index, the annual humidity impact index, and the annual load impact index.

[0062] Through the above technical solution, this embodiment first analyzes the ambient temperature and ambient humidity through the analysis module to obtain the annual temperature impact index and annual humidity impact index for evaluating the impact of the current environment on the service life of the oil-filling equipment; then analyzes the operating load rate through the analysis module to obtain the annual load impact index for evaluating the impact of the current operating load rate on the service life of the oil-filling equipment; finally, analyzes the annual temperature impact index, annual humidity impact index and annual load impact index through the analysis module to obtain the expected service life of the oil-filling equipment in the current environment, thereby realizing accurate evaluation of the expected service life of the oil-filling equipment based on the environment in which the oil-filling equipment is located and the actual operating conditions.

[0063] As an embodiment of the present invention, the annual temperature impact index and the annual humidity impact index are calculated and generated by the following formula:

[0064]

[0065] Where T is the annual temperature impact index of the service life of the oil-filled equipment; S is the annual humidity impact index of the service life of the oil-filled equipment; f(X) is the judgment function, when X>0, f(X)=X; when X≤0, f(X)=0; N is the number of complete years after the oil-filled equipment is put into use, n∈N; W n T is the number of operating hours of the oil-filled equipment in the nth full year after it is put into use; n The number of hours that the ambient temperature exceeds the ambient temperature threshold range during the nth full year of operation of the oil-filled equipment after it is put into use; S n T is the number of hours that the ambient humidity exceeds the humidity threshold range during the nth full year of operation of the oil-filled equipment after it is put into use; n(t) is the temperature variation curve of the ambient temperature over the operating time in the nth full year after the oil-filled equipment is put into use; S n (t) is the humidity change curve of the ambient humidity in the nth full year after the oil-filled equipment is put into use versus the operating time; [T L ,T h ] is the ambient temperature threshold range; [S L ,S h ] is the ambient humidity threshold range; Δt n The operating time of the oil-filled equipment in the nth full year after it is put into use; γ T1 is the first temperature influence weight coefficient; γ T2 is the second temperature influence weight coefficient; γ S1 is the first humidity influence weight coefficient; γ S2 is the second humidity influence weight coefficient; C1 is the first preset constant; C2 is the second preset constant; C3 is the third preset constant; C4 is the fourth preset constant; ε is the unit-removing coefficient;

[0066] Through the above technical solution, in this embodiment, due to the high ambient temperature, the insulating materials (such as insulating paper and insulating oil) of the oil-filled equipment undergo thermal oxidation reaction at high temperature, and the molecular chain breaks, resulting in a decrease in insulation performance; and when the ambient temperature is too low, the low temperature increases the viscosity of the oil in the oil-filled equipment, reduces the fluidity, reduces the heat dissipation efficiency, and increases the winding temperature. Therefore, when the ambient temperature exceeds the ambient temperature threshold range, the aging of the oil-filled equipment will be accelerated; in this embodiment, The ratio of the number of hours during which the ambient temperature exceeds the ambient temperature threshold range during the nth full year of operation of the oil-filled equipment after it is put into use to the number of operating hours during the nth full year of operation of the oil-filled equipment after it is put into use. The average ratio of the number of hours during which the ambient temperature exceeds the ambient temperature threshold range during one full year of operation of the oil-filled equipment after it is put into use to the number of operating hours in the nth full year after the oil-filled equipment is put into use; the average ratio of the number of hours during which the ambient temperature exceeds the ambient temperature threshold range during one full year of operation of the oil-filled equipment after it is put into use to the number of operating hours in the nth full year after the oil-filled equipment is put into use The larger the value is, the longer the equipment works in abnormal ambient temperature. Therefore, the adverse effect of ambient temperature on oil-filled equipment is greater, and the annual temperature impact index T is greater. In the judgment function f(X), X refers to Used to determine whether the ambient temperature exceeds the ambient temperature threshold range [T L ,T h ];when When the oil-filled equipment is put into use, the ambient temperature at the time of operation for the nth full year is t, which does not exceed the ambient temperature threshold range [T L,T h ], so the ambient temperature at the time of operation time t in the nth full year after the oil filling equipment is put into use has no adverse effect on the oil filling equipment. when When the oil-filled equipment is put into use, the ambient temperature at the time of operation time t in the nth full year exceeds the ambient temperature threshold range [T L ,T h ], so the ambient temperature at the time of operation time t in the nth full year after the oil filling equipment is put into use has an adverse effect on the oil filling equipment, and the ambient temperature at the time of operation time t in the nth full year after the oil filling equipment is put into use exceeds the ambient temperature threshold range [T L ,T h ], the more the ambient temperature is, the greater the adverse effect on the oil-filled equipment when the operating time is t in the nth full year after the oil-filled equipment is put into use. The ambient temperature during the entire operation process of the oil-filled equipment in the nth full year after it is put into use exceeds the ambient temperature threshold range [T L ,T h ], The ambient temperature during the operation of the oil-filled equipment for a full year exceeds the ambient temperature threshold range [T L ,T h ], the average cumulative value of the operating environment temperature of the oil-filled equipment exceeds the ambient temperature threshold range [T L ,T h The average cumulative value of The larger it is, the greater the adverse effect on oil-filled equipment, and the greater the annual temperature impact index T;

[0067] Similarly, if the ambient humidity is too high, moisture in the air will penetrate into the oil-filled equipment through the gaps in the shell and poorly sealed areas, causing the insulating materials (such as insulating paper and insulating oil) to absorb moisture; if the ambient humidity is too low, the air insulation performance is enhanced, but static electricity is easily generated when the metal parts inside the oil-filled equipment rub against the insulating materials. When static electricity accumulates to a certain level, it may cause discharge. The ozone generated by the discharge accelerates the aging of the insulating materials. Therefore, if the ambient humidity exceeds the ambient humidity threshold range, it will accelerate the aging of the oil-filled equipment. In this embodiment, The ratio of the number of hours during which the ambient humidity exceeds the ambient humidity threshold range during the nth full year of operation of the oil-filled equipment after it is put into use to the number of operating hours during the nth full year of operation of the oil-filled equipment after it is put into use. The average ratio of the number of hours during which the ambient humidity exceeds the ambient humidity threshold range during one full year of operation after the oil-filled equipment is put into use to the number of operating hours in the nth full year after the oil-filled equipment is put into use; the average ratio of the number of hours during which the ambient humidity exceeds the ambient humidity threshold range during one full year of operation after the oil-filled equipment is put into use to the number of operating hours in the nth full year after the oil-filled equipment is put into use The larger the value is, the longer the equipment works in abnormal ambient humidity. Therefore, the adverse effect of ambient humidity on oil-filled equipment is greater, and the annual humidity impact index S is greater. In the judgment function f(X), X refers to Used to determine whether the ambient humidity exceeds the ambient humidity threshold range [T L ,T h ];when When the oil-filled equipment is put into use, the ambient humidity at the time of operation for the nth full year is t, which does not exceed the ambient humidity threshold range [T L ,T h ], so the ambient humidity when the oil filling equipment is put into use for the nth full year of operation time t has no adverse effect on the oil filling equipment. when When the oil-filled equipment is put into use, the ambient humidity at the time of operation for the nth full year is t, which exceeds the ambient humidity threshold range [S L ,S h ], so the ambient humidity when the running time of the oil filling equipment in the nth full year after it is put into use is t has an adverse effect on the oil filling equipment, and the ambient humidity when the running time of the oil filling equipment in the nth full year after it is put into use is t exceeds the ambient humidity threshold range [S L ,S h ], the more the environmental humidity is, the greater the adverse effect on the oil filling equipment when the operating time is t in the nth full year after the oil filling equipment is put into use. The ambient humidity during the entire operation process of the oil-filled equipment in the nth full year after it is put into use exceeds the ambient humidity threshold range [S L ,S h ], The ambient humidity during the operation of the oil-filled equipment for a full year after it is put into use exceeds the ambient humidity threshold range [S L ,S h ], the average cumulative value of the operating environment humidity of the oil-filled equipment for a full year after it is put into use exceeds the ambient humidity threshold range [S L ,S h The average cumulative value of The larger it is, the greater the adverse impact on oil-filled equipment, and the greater the annual humidity impact index S;

[0068] It should be noted that the ambient temperature threshold range [T L ,T h ], Ambient humidity threshold range [S L ,S h ], the first temperature influence weight coefficient γ T1 , the second temperature influence weight coefficient γ T2 , the first humidity influence weight coefficient γ S1 , the second humidity influence weight coefficient γ S2 , the first preset constant C1, the second preset constant C2, the third preset constant C3, the fourth preset constant C4 and the de-unit coefficient ε are preset values, which are obtained based on experience and will not be described in detail here.

[0069] As an embodiment of the present invention, the annual load impact index of the service life of the oil-filled equipment is calculated by the following formula:

[0070]

[0071] Where F is the annual load impact index of the oil-filled equipment service life; F n The number of hours when the real-time load rate of the oil-filled equipment exceeds the corresponding maximum load rate during the nth full year of operation after it is put into use; F n (t) is the curve of the change of ambient temperature with the actual load rate during the nth full year after the oil-filled equipment is put into use; F0(t) is the curve of the change of ambient temperature with the maximum load rate during the nth full year after the oil-filled equipment is put into use; γ F1 is the first load influence weight coefficient; γ F2 is the second load influence weight coefficient; C5 is the fifth preset constant; C6 is the sixth preset constant;

[0072] Through the above technical solution, this embodiment It is the ratio of the number of hours during which the real-time load rate exceeds the corresponding maximum load rate in the nth full year of operation after the oil-filled equipment is put into use to the number of operating hours in the nth full year after the oil-filled equipment is put into use. The average ratio of the number of hours during which the real-time load rate exceeds the corresponding maximum load rate in a full year of operation after the oil-filled equipment is put into use to the number of operating hours in a full year of operation after the oil-filled equipment is put into use; The average ratio of the number of hours during which the real-time load rate exceeds the corresponding maximum load rate in a full year of operation after the oil-filled equipment is put into use to the number of operating hours in a full year of operation after the oil-filled equipment is put into use The larger the value is, the longer the oil-filled equipment is overloaded, so the oil-filled equipment will age faster. Therefore, the larger the annual load impact index F of the oil-filled equipment's service life is. In the judgment function f(X), X refers to F n (t)-F0(t), is used to determine whether the actual load rate when the operating time of the oil-filled equipment in the nth full year after it is put into use is t exceeds the corresponding maximum load rate; when F n When (t)-F0(t)≤0, it means that the actual load rate when the running time of the oil-filled equipment in the nth full year after it is put into use is t does not exceed the corresponding maximum load rate. Therefore, the actual load rate when the running time of the oil-filled equipment in the nth full year after it is put into use is t will not accelerate the aging speed of the oil-filled equipment. n (t)-F0(t)]=0; when F n When (t)-F0(t)>0, it means that the actual load rate of the oil-filled equipment when the operating time of the nth full year after it is put into use is t exceeds the corresponding maximum load rate. Therefore, the actual load rate of the oil-filled equipment when the operating time of the nth full year after it is put into use is t will accelerate the aging speed of the oil-filled equipment. The more the actual load rate of the oil-filled equipment when the operating time of the nth full year after it is put into use exceeds the corresponding maximum load rate, the faster the aging speed of the oil-filled equipment is. n (t)-F0(t)]=F n (t)-F0(t); It is the cumulative value of the excess of the actual load rate over the corresponding maximum load rate when the operating time is t in the nth full year after the oil-filled equipment is put into use; The average cumulative value of the excess of the actual load rate over the corresponding maximum load rate when the oil-filled equipment is put into use for a single full year of operation of t; the average cumulative value of the excess of the actual load rate over the corresponding maximum load rate when the oil-filled equipment is put into use for a single full year of operation of t The larger it is, the faster the oil-filled equipment ages, so the annual load impact index F on the service life of the oil-filled equipment is greater;

[0073] It should be noted that the first load influence weight coefficient γ F1 , the second load influence weight coefficient γ F2 , the fifth preset constant C5 and the sixth preset constant C6 are preset values, which are obtained based on experience and will not be described in detail here.

[0074] As an embodiment of the present invention, the maximum load rate at each operating moment is calculated and generated by the following formula:

[0075]

[0076] Among them, F t0 is the maximum load rate of the oil-filled equipment at any operating time; t is any operating time; T tis the corresponding ambient temperature at the operating moment; F0 is the preset maximum load rate; T0 is the preset ambient temperature; μ1 is the first adjustment coefficient;

[0077] Through the above technical solution, in this embodiment T0-T t is the difference between the preset ambient temperature and the corresponding ambient temperature at the time of operation. t <0, it means that the preset ambient temperature is lower than the corresponding ambient temperature at the time of operation, so the maximum load rate F of the oil-filled equipment at the time of operation t0 should be reduced; when T0-T t When it is >0, it means that the preset ambient temperature is higher than the corresponding ambient temperature at the time of operation, so the maximum load rate F of the oil-filled equipment at the time of operation t0 should be increased;

[0078] It should be noted that the first adjustment coefficient μ1, the preset ambient temperature T0 and the preset maximum load rate F0 are preset values, which are obtained based on experience and will not be described in detail here.

[0079] It should be noted that F0(t) is based on the maximum load rate F of the oil filling equipment at any operating time. t0 The process of obtaining is prior art and will not be described in detail here.

[0080] As an embodiment of the present invention, the expected service life of the oil-filled equipment in the current environment is calculated using the following formula:

[0081]

[0082] Wherein, L is the expected service life of the oil-filled equipment in the current environment; L0 is the preset service life of the oil-filled equipment; δ1 is the first comprehensive weight coefficient; δ2 is the second comprehensive weight coefficient; δ3 is the third comprehensive weight coefficient; D1 is the first comprehensive preset constant; D2 is the second comprehensive preset constant; D3 is the third comprehensive preset constant;

[0083] Through the above technical solution, in this embodiment, the greater the annual temperature impact index T, the greater the adverse impact on the oil-filled equipment, and therefore the expected service life L is shorter; the greater the annual humidity impact index S, the greater the adverse impact on the oil-filled equipment, and therefore the expected service life L is shorter; the greater the annual load impact index F, the faster the aging speed of the oil-filled equipment, and therefore the expected service life L is shorter;

[0084] It should be noted that the preset service life L0 of the oil-filled equipment, the first comprehensive weight coefficient δ1, the second comprehensive weight coefficient δ2, the third comprehensive weight coefficient δ3, the No. 1 comprehensive preset constant D1, the No. 2 comprehensive preset constant D2, and the No. 3 comprehensive preset constant D3 are preset values, which are obtained based on experience and will not be described in detail here.

[0085] As an embodiment of the present invention, the judgment index is calculated and generated by the following formula:

[0086]

[0087] Among them, P is the judgment index; H s is the maintenance cost of this fault; H0 is the preset allowable maintenance cost of the oil filling equipment; L S is the length of time the oil-filled equipment has been in use; u2 is the second adjustment coefficient;

[0088] Through the above technical solution, this embodiment The ratio of the time the oil-filled equipment has been put into use to the estimated service life of the oil-filled equipment in the current environment. The larger it is, the smaller the maintenance value of the oil-filled equipment is. Therefore, the allowable maintenance cost of the oil-filled equipment in its current state should be reduced. The repair cost of this fault and the allowable repair cost of the oil filling equipment in its current state The ratio of

[0089] It should be noted that the repair cost of this fault is H s The preset allowable maintenance cost H0 of the oil-filled equipment and the second adjustment coefficient u2 are preset values, which are obtained based on experience and will not be described in detail here.

[0090] As an embodiment of the present invention, the process for determining whether the oil filling equipment failure is worth repairing is as follows:

[0091] Compare the judgment index P with the preset ratio ω;

[0092] When P≥ω, it is determined that the oil filling equipment has no repair value for this fault;

[0093] When P<ω, it is determined that the fault of the oil-filling equipment is worth repairing;

[0094] Through the above technical solution, in this embodiment, when P ≥ ω, it means that the maintenance cost is too high and there is no maintenance value; when P < ω, it means that the maintenance cost is too high and there is maintenance value. When the oil filling equipment fails, it is automatically determined whether it is worth repairing, avoiding the waste of resources and time delay caused by blind maintenance.

[0095] It should be noted that the preset ratio ω is a preset value obtained based on experience and will not be described in detail here. In one embodiment, ω∈[0.6,1].

[0096] See also Figure 2 The full life cycle management system for online monitoring equipment for dissolved gas in oil includes:

[0097] An environmental monitoring module is used to monitor the environmental status of the oil filling device and obtain environmental information data of the oil filling device; wherein the environmental information data includes environmental temperature and environmental humidity;

[0098] The oil filling equipment monitoring module is used to monitor the operating status of the oil filling equipment and obtain the operating status data of the oil filling equipment; wherein the operating status data includes the operating load rate;

[0099] Gas online monitoring module, used to monitor the insulating oil status of oil-filled equipment and determine the type of fault based on the insulating oil status;

[0100] The analysis module is used to analyze the environmental information data and operating status data, calculate and generate the expected service life of the oil filling equipment in the current environment; then calculate and generate a judgment index based on the type of fault and the expected service life of the oil filling equipment in the current environment, and judge whether the current fault of the oil filling equipment is worth repairing based on the judgment index.

[0101] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A full life cycle management method for online monitoring equipment for dissolved gas in oil, applicable to oil-filled equipment in power systems, characterized in that: The management method comprises the following steps: S1: monitoring the environmental status of the oil filling device through the environmental monitoring module to obtain environmental information data of the oil filling device; wherein the environmental information data includes environmental temperature and environmental humidity; S2: monitoring the operating status of the oil filling device through the oil filling device monitoring module to obtain operating status data of the oil filling device; wherein the operating status data includes an operating load rate; S3: Monitor the insulating oil status of the oil-filled equipment through the gas online monitoring module, and determine the type of fault based on the insulating oil status; S4: Analyze the environmental information data and the operating status data through the analysis module to calculate and generate the expected service life of the oil-filled equipment in the current environment; S5: The analysis module calculates and generates a judgment index based on the fault type and the expected service life of the oil filling equipment in the current environment; and determines whether the fault of the oil filling equipment is worth repairing based on the judgment index.

2. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 1 is characterized in that: The analysis of the environmental information data and the operating status data to calculate and generate the expected service life of the oil-filled equipment in the current environment includes: S10: Analyze the ambient temperature and ambient humidity, and calculate and generate an annual temperature impact index and an annual humidity impact index of the service life of the oil-filled equipment; S20: Analyze the operating load rate and calculate the annual load impact index of the service life of the oil-filled equipment; S30: Calculate and generate the expected service life of the oil-filled equipment in the current environment based on the annual temperature impact index, the annual humidity impact index, and the annual load impact index.

3. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 2, characterized in that: The annual temperature impact index is calculated using the following formula: Where T is the annual temperature impact index of the service life of the oil-filled equipment; f(X) is the judgment function, when X>0, f(X)=X; when X≤0, f(X)=0; N is the number of complete years after the oil-filled equipment is put into use, n∈N; W n T is the number of operating hours of the oil-filled equipment in the nth full year after it is put into use; n T is the number of hours that the ambient temperature exceeds the ambient temperature threshold range during the nth full year of operation of the oil-filled equipment after it is put into use; n (t) is the temperature variation curve of the ambient temperature over the operating time in the nth full year after the oil-filled equipment is put into use; [T L ,T h ] is the ambient temperature threshold range; Δt n The operating time of the oil-filled equipment in the nth full year after it is put into use; γ T1 is the first temperature influence weight coefficient; γ T2 is the second temperature influence weight coefficient; C1 is the first preset constant; C2 is the second preset constant; ε is the unit-removed coefficient.

4. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 3 is characterized in that: The annual humidity impact index is calculated using the following formula: Where S is the annual humidity impact index of the oil-filled equipment service life; S n The number of hours that the ambient humidity exceeds the humidity threshold range during the nth full year of operation of the oil-filled equipment after it is put into use; S n (t) is the humidity change curve of the ambient humidity in the nth full year after the oil-filled equipment is put into use versus the operating time; [S L ,S h ] is the ambient humidity threshold range; γ S1 is the first humidity influence weight coefficient; γ S2 The second humidity influence weight coefficient C3 is the third preset constant; C4 is the fourth preset constant.

5. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 4 is characterized in that: The annual load impact index of the oil-filled equipment service life is calculated using the following formula: Where F is the annual load impact index of the oil-filled equipment service life; F n The number of hours that the real-time load rate exceeds the corresponding maximum load rate during the nth full year of operation after the oil filling equipment is put into use is calculated by comparing the load rate of the oil filling equipment at each moment with the maximum load rate F at each operating moment. t0 Computational generation; F n (t) is the curve of the change of ambient temperature with the actual load rate during the nth full year after the oil-filled equipment is put into use; F0(t) is the curve of the change of ambient temperature with the maximum load rate during the nth full year after the oil-filled equipment is put into use; γ F1 is the first load influence weight coefficient; γ F2 is the second load influence weight coefficient; C5 is the fifth preset constant; and C6 is the sixth preset constant.

6. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 5, characterized in that: The maximum load rate at each operating time is calculated using the following formula: Among them, F t0 is the maximum load rate of the oil-filled equipment at any operating time; t is any operating time; T t is the corresponding ambient temperature at the operating moment; F0 is the preset maximum load rate; T0 is the preset ambient temperature; μ1 is the first adjustment coefficient.

7. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 6, characterized in that: The estimated service life of oil-filled equipment in the current environment is calculated using the following formula: Among them, L is the expected service life of the oil-filled equipment in the current environment; L0 is the preset service life of the oil-filled equipment; δ1 is the first comprehensive weight coefficient; δ2 is the second comprehensive weight coefficient; δ3 is the third comprehensive weight coefficient; D1 is the No. 1 comprehensive preset constant; D2 is the No. 2 comprehensive preset constant; D3 is the No. 3 comprehensive preset constant.

8. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 7, characterized in that: The judgment index is calculated using the following formula: Among them, P is the judgment index; H s is the maintenance cost of this fault; H0 is the preset allowable maintenance cost of the oil filling equipment; L S is the length of time the oil-filled equipment has been in use; u2 is the second adjustment coefficient.

9. The full life cycle management method for online monitoring equipment for dissolved gas in oil according to claim 8, characterized in that: The judgment index used to determine whether the oil filling equipment failure is worth repairing includes: Compare the judgment index P with the preset ratio ω; When P≥ω, it is determined that the oil filling equipment has no repair value for this fault; When P<ω, it is determined that the fault of the oil-filling equipment is worth repairing.

10. A full life cycle management system for online monitoring equipment for dissolved gas in oil, based on the full life cycle management method for online monitoring equipment for dissolved gas in oil according to any one of claims 1 to 9, characterized in that: The management system includes: An environmental monitoring module is used to monitor the environmental status of the oil filling device and obtain environmental information data of the oil filling device; wherein the environmental information data includes environmental temperature and environmental humidity; The oil filling equipment monitoring module is used to monitor the operating status of the oil filling equipment and obtain the operating status data of the oil filling equipment; wherein the operating status data includes the operating load rate; Gas online monitoring module, used to monitor the insulating oil status of oil-filled equipment and determine the type of fault based on the insulating oil status; The analysis module is used to analyze the environmental information data and the operating status data, calculate and generate the expected service life of the oil filling equipment in the current environment; then calculate and generate a judgment index based on the type of fault and the expected service life of the oil filling equipment in the current environment; and judge whether the fault of the oil filling equipment is worth repairing based on the judgment index.

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