Running state evaluation method for hydroelectric generating set management

Abstract

The invention relates to the technical field of hydroelectric generating set management, and discloses a running state evaluation method for hydroelectric generating set management, and the method comprises the steps: collecting the water flow, the rotating speed, the running temperature, the inlet pressure and the outlet pressure of a hydroelectric generating set in real time, carrying out the preprocessing, judging abnormal values, and removing and supplementing the abnormal values. According to the method, operation fault rating is formed through water flow, unit rotating speed, unit operation temperature, hydroelectric generating set inlet pressure and hydroelectric generating set outlet pressure of a hydroelectric generating set, power data of the hydroelectric generating set are collected, power of the hydroelectric generating set is calculated, power rating is obtained, fault data and maintenance data of the hydroelectric generating set are collected, and the fault data and maintenance data of the hydroelectric generating set are obtained. The fault condition of the hydroelectric generating set is analyzed, the maintenance fault rating is obtained through the fault analysis function, and the three parts are combined to obtain the comprehensive operation data of the hydroelectric generating set, so that the condition of the current hydroelectric generating set and the operation condition can be visually referenced, and the operation state of the hydroelectric generating set can be evaluated in time.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower unit management, and specifically to an operation status evaluation method for hydropower unit management. Background Art

[0002] As a key device for hydropower energy conversion, the safety and stability of hydropower units have always been one of the hotspots and important research directions in this field; currently, with the continuous development of units towards large-scale and complex, the degree of integration is getting higher and higher, and the structure is becoming increasingly complex. Therefore, in order to ensure the safe and stable operation of hydropower units, improve equipment utilization rate, and avoid major economic losses and casualties, hydropower plants generally use a condition monitoring system to monitor the operation status of hydropower units;

[0003] The existing technology has hysteresis in the monitoring of hydropower units and lacks the evaluation of the operation status of hydropower units. Summary of the Invention

[0004] (I) Technical Problems to be Solved

[0005] In view of the deficiencies of the existing technology, the present invention provides an operation status evaluation method for hydropower unit management, which has the advantages of evaluating the operation status of hydropower unit management, etc., and solves the above technical problems.

[0006] (II) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solutions: An operation status evaluation method for hydropower unit management, including the following steps:

[0008] Step 1: Real-time collect the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit in and the outlet pressure P of the hydropower unit out ;

[0009] Step 2: Preprocess the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit collected in Step 1 in and the outlet pressure P of the hydropower unit out The preprocessing specifically is: judge the data outliers in the collection process, and then eliminate and supplement the outliers;

[0010] Step 3: Input the data preprocessed in Step 2 into the operation data evaluation function, and output the operation fault rating YXGZPJ through the data evaluation function;

[0011] Step 4: Collect the fault data and maintenance data of the hydropower unit, analyze the fault situation of the hydropower unit, and obtain the maintenance fault rating WXGZPJ through the fault analysis function;

[0012] Step 5: Collect the power data of the hydropower unit, calculate the power of the hydropower unit, and obtain the power rating GLPJ.

[0013] Step 6: Combine the operation fault rating YXGZPJ output from the result of the data evaluation function in Step 3, the maintenance fault rating WXGZPJ obtained from the fault analysis function in Step 4, and the power rating GLPJ calculated for the power of the hydropower unit in Step 5 to obtain the comprehensive operation data ZH of the hydropower unit.

[0014] Step 7: Visualize the comprehensive operation data ZH of the hydropower unit, the operation fault rating YXGZPJ output from the result of the data evaluation function in Step 3, the maintenance fault rating WXGZPJ obtained from the fault analysis function in Step 4, and the power rating GLPJ calculated for the power of the hydropower unit in Step 5, and estimate the service life SM of the hydropower unit.

[0015] As a preferred technical solution of the present invention, the expressions for collecting the water flow rate Q, the unit rotation speed N, and the unit operation temperature T of the hydropower unit in Step 1 are as follows:

[0016] Q = [Q1, …, Q i , …, Q n

[0017] N = [N1, …, N i , …, N n

[0018] T = [T1, …, T i , …, T n

[0019] where Q1, …, Q i , …, Q n respectively represent the water flow rate measured by the first water flow rate sensor of the hydropower unit, …, the water flow rate measured by the i-th water flow rate sensor, …, the water flow rate measured by the n-th water flow rate sensor, N1, …, N i , …, N n represent the unit rotation speed measured by the first unit rotation speed sensor of the hydropower unit, …, the unit rotation speed measured by the i-th unit rotation speed sensor, …, the unit rotation speed measured by the n-th unit rotation speed sensor, T1, …, T i , …, T n respectively represent the unit operation temperature measured by the first unit operation temperature sensor of the hydropower unit, …, the unit operation temperature measured by the i-th unit operation temperature sensor, …, the unit operation temperature measured by the n-th unit operation temperature sensor. ​​​

[0020] As a preferred technical solution of the present invention, the inlet pressure P of the hydro-generator unit is collected in the first step in and the outlet pressure P of the hydro-generator unit out are expressed as follows:

[0021] P in =[P in 1 ,…,P in i ,…,P in n

[0022] P out =[P out 1 ,…,P out i ,…,P out n

[0023] wherein, P in 1 ,…,P in i ,…,P in n represents the first inlet pressure of the hydro-generator unit measured by the inlet sensor of the hydro-generator unit, …, the i-th inlet pressure of the hydro-generator unit measured by the inlet sensor of the hydro-generator unit, …, the n-th inlet pressure of the hydro-generator unit measured by the inlet sensor of the hydro-generator unit, and P out 1 ,…,Px ut i ,…,P out n represents the first outlet pressure of the hydro-generator unit measured by the outlet sensor of the hydro-generator unit, …, the i-th outlet pressure of the hydro-generator unit measured by the outlet sensor of the hydro-generator unit, …, the n-th outlet pressure of the hydro-generator unit measured by the outlet sensor of the hydro-generator unit.

[0024] As a preferred technical solution of the present invention, the specific steps for preprocessing the water flow Q, unit speed N, unit operating temperature T, inlet pressure P of the hydro-generator unit in and the outlet pressure P of the hydro-generator unit out collected in the second step are as follows: The data collected by each sensor are eliminated through an outlier judgment function, and the outliers are supplemented.

[0025] As a preferred technical solution of the present invention, the specific expression of the outlier judgment function is as follows:

[0026] ​​

[0027] Among them, f(x i ) represents an outlier judgment function, and x i represents the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit in and the outlet pressure P of the hydropower unit out of the i-th element in, δ min and δ max represent the minimum safety value and the maximum safety value of the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit in and the outlet pressure P of the hydropower unit out respectively, represents the sum of elements except x i outside, and x j represents the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit in and the outlet pressure P of the hydropower unit out of the j-th element except x i outside.

[0028] As a preferred technical solution of the present invention, the specific expression of the data evaluation function outputting the operation fault rating in step three is as follows:

[0029]

[0030] Among them, YXGZPJ represents the operation fault rating, Q represents the water flow rate of the hydropower unit, Q0 represents the water flow rate safety threshold of the hydropower unit, N represents the unit speed, N0 represents the unit speed safety threshold of the hydropower unit, T represents the unit operating temperature, T0 represents the unit operating temperature safety threshold of the hydropower unit, and P in represents the inlet pressure of the hydropower unit, represents the inlet pressure safety threshold of the hydropower unit, and P out represents the outlet pressure of the hydropower unit, represents the outlet pressure safety threshold of the hydropower unit.

[0031] As a preferred technical solution of the present invention, in step four, the fault situation of the hydropower unit is analyzed, and the specific expression of obtaining the maintenance fault rating WXGZPJ through the fault analysis function is as follows:

[0032] WXGZPJ = ln(WXCS + e GZCS )

[0033] Among them, WXCS represents the number of times of maintenance, GZCS represents the number of times of fault shutdown, e represents the natural constant, and ln represents the logarithmic function with the natural constant e as the base.

[0034] As a preferred technical solution of the present invention, in step five, the power of the hydropower unit is calculated, and the specific expression for obtaining the power rating GLPJ is as follows:

[0035] GLPJ = GL - GL0

[0036] Wherein, GLPJ represents the power rating, GL0 represents the rated power value of the hydropower unit, and GL represents the power of the hydropower unit.

[0037] As a preferred technical solution of the present invention, in step six, combining the operation fault rating YXGZPJ output through the data evaluation function in step three, the maintenance fault rating WXGZPJ obtained through the fault analysis function in step four, and the power rating GLPJ obtained by calculating the power of the hydropower unit in step five, the specific expression for obtaining the operation comprehensive data ZH of the hydropower unit is as follows:

[0038] ZH = αYXGZPJ + βWXGZPJ + γGLPJ

[0039] Wherein, α, β, and γ respectively represent three different weight coefficients, GLPJ represents the power rating, WXCS represents the number of maintenance times, and YXGZPJ represents the operation fault rating.

[0040] As a preferred technical solution of the present invention, the specific expression for predicting the life SM of the hydropower unit in step seven is as follows:

[0041]

[0042] Wherein, SM represents the life of the hydropower unit, represents the average remaining life, ZH max represents the standard value of the operation comprehensive data of the hydropower unit.

[0043] Compared with the prior art, the present invention provides an operation status evaluation method for hydropower unit management, having the following beneficial effects:

[0044] Through the present invention, the operation fault rating YXGZPJ is constituted by the water flow rate, unit rotation speed, unit operation temperature, inlet pressure of the hydropower unit, and outlet pressure of the hydropower unit of the hydropower unit. The power data of the hydropower unit is collected, and the power of the hydropower unit is calculated to obtain the power rating GLPJ. The fault data and maintenance data of the hydropower unit are collected, and the fault situation of the hydropower unit is analyzed. The maintenance fault rating WXGZPJ is obtained through the fault analysis function, and the three are combined to obtain the operation comprehensive data ZH of the hydropower unit, thereby ensuring that the state and operation situation of the current hydropower unit can be intuitively referred to and its operation state can be evaluated in a timely manner. Brief Description of the Drawings

[0045] Figure 1 This is a schematic diagram of the process of the present invention. Specific embodiments

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0047] Please refer to Figure 1 , an operation status evaluation method for hydropower unit management, including the following steps:

[0048] Step 1: Real-time collect the water flow rate Q, unit speed N, unit operating temperature T, and inlet pressure P of the hydropower unit in and the outlet pressure P of the hydropower unit out . The expressions for collecting the water flow rate Q, unit speed N, and unit operating temperature T of the hydropower unit in Step 1 are as follows:

[0049] Q = [Q1,..., Q i ,..., Q n

[0050] N = [N1,..., N i ,..., N n

[0051] T = [T1,..., T i ,..., T n

[0052] Among them, Q1,..., Q i ,..., Q n respectively represent the water flow rate measured by the first water flow rate sensor of the hydropower unit,..., the water flow rate measured by the i-th water flow rate sensor,..., the water flow rate measured by the n-th water flow rate sensor, N1,..., N i ,..., N n represent the unit speed measured by the first unit speed sensor of the hydropower unit,..., the unit speed measured by the i-th unit speed sensor,..., the unit speed measured by the n-th unit speed sensor, T1,..., T i ,..., T n respectively represent the unit operating temperature measured by the first unit operating temperature sensor of the hydropower unit,..., the unit operating temperature measured by the i-th unit operating temperature sensor,..., the unit operating temperature measured by the n-th unit operating temperature sensor, and the inlet pressure P of the hydropower unit in ​​​and the outlet pressure P of the hydro-generator unit out The expression is as follows:

[0053] P in =[P in 1 ,…,P in i ,…,P in n

[0054] P out =[P out 1 ,…,P out i ,…,P out n

[0055] Among them, P in 1 ,…,P in i ,…,P in n represents the 1st inlet pressure of the hydro-generator unit measured by the inlet sensor of the hydro-generator unit, …, the ith inlet pressure of the hydro-generator unit measured by the inlet sensor of the hydro-generator unit, …, the nth inlet pressure of the hydro-generator unit measured by the inlet sensor of the hydro-generator unit, and P out 1 ,…,P out i ,…,P out n represents the 1st outlet pressure of the hydro-generator unit measured by the outlet sensor of the hydro-generator unit, …, the uth outlet pressure of the hydro-generator unit measured by the outlet sensor of the hydro-generator unit, …, the nth outlet pressure of the hydro-generator unit measured by the outlet sensor of the hydro-generator unit;

[0056] Step 2: Preprocess the water flow Q, unit speed N, unit operating temperature T, inlet pressure P of the hydro-generator unit in and the outlet pressure P of the hydro-generator unit out . The preprocessing is specifically as follows: judge the data outliers in the acquisition process, and then eliminate and supplement the outliers. The specific steps for preprocessing the water flow Q, unit speed N, unit operating temperature T, inlet pressure P of the hydro-generator unit in and the outlet pressure P of the hydro-generator unit out are as follows: eliminate the data collected by each sensor through the outlier judgment function, and supplement the outliers. The specific expression of the outlier judgment function is as follows:

[0057] ​​

[0058] Among them, f(x i ) represents an outlier judgment function, and x i represents the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit in and the outlet pressure P out of the i-th element in the hydropower unit, δ min and δ max represent the minimum safety value and the maximum safety value in the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P in and the outlet pressure P out of the hydropower unit; represents the sum of elements other than x i , and x j represents the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P in and the outlet pressure P out of the j-th element other than x i in the hydropower unit;

[0059] Step 3: Input the preprocessed data in Step 2 into the operation data evaluation function, and output the operation fault rating YXGZPJ through the data evaluation function. The specific expression for the data evaluation function to output the operation fault rating in Step 3 is as follows:

[0060]

[0061] Among them, YXGZPJ represents the operation fault rating, Q represents the water flow rate of the hydropower unit, Q0 represents the water flow rate safety threshold of the hydropower unit, N represents the unit speed, N0 represents the unit speed safety threshold of the hydropower unit, T represents the unit operating temperature, T0 represents the unit operating temperature safety threshold of the hydropower unit, and P in represents the inlet pressure of the hydropower unit, represents the inlet pressure safety threshold of the hydropower unit, and P out represents the outlet pressure of the hydropower unit, represents the inlet pressure safety threshold of the hydropower unit;

[0062] Step 4: Collect the fault data and maintenance data of the hydropower unit, analyze the fault conditions of the hydropower unit, and obtain the maintenance fault rating WXGZPJ through the fault analysis function. The specific expression for analyzing the fault conditions of the hydropower unit and obtaining the maintenance fault rating WXGZPJ through the fault analysis function in Step 4 is as follows:

[0063] WXGZPJ = ln(WXCS + e GZCS )

[0064] Among them, WXCS represents the number of repairs, GZCS represents the number of fault shutdowns, e represents the natural constant, and ln represents the logarithmic function with the natural constant e as the base;

[0065] Step Five: Collect the power data of the hydropower unit and calculate the power of the hydropower unit to obtain the power rating GLPJ. The specific expression for calculating the power of the hydropower unit and obtaining the power rating GLPJ in Step Five is as follows:

[0066] GLPJ = GL - GL0

[0067] Among them, GLPJ represents the power rating, GL0 represents the rated power value of the hydropower unit, and GL represents the power of the hydropower unit;

[0068] Step Six: Combine the operation fault rating YXGZPJ output from the result of the data evaluation function in Step Three, the maintenance fault rating WXGZPJ obtained from the fault analysis function in Step Four, and the power rating GLPJ calculated for the power of the hydropower unit in Step Five. The specific expression for obtaining the comprehensive operation data ZH of the hydropower unit is as follows:

[0069] ZH = αYXGZPJ + βWXGZPJ + γGLPJ

[0070] Among them, α, β, and γ respectively represent three different weight coefficients, GLPJ represents the power rating, WXCS represents the number of repairs, and YXGZPJ represents the operation fault rating;

[0071] Step Seven: Visualize the comprehensive operation data ZH of the hydropower unit, the operation fault rating YXGZPJ output from the result of the data evaluation function in Step Three, the maintenance fault rating WXGZPJ obtained from the fault analysis function in Step Four, and the power rating GLPJ calculated for the power of the hydropower unit in Step Five, and combine with the prediction of the service life SM of the hydropower unit. The specific expression for predicting the service life SM of the hydropower unit in Step Seven is as follows:

[0072]

[0073] Among them, SM represents the service life of the hydropower unit, represents the average remaining life, ZH maxRepresents the standard value of the comprehensive operating data of the hydropower unit. At this point, the reference value of the remaining life of the hydropower unit is calculated, thus ensuring that the current state and operating conditions of the hydropower unit can be intuitively referred to. At the same time, visualizing the comprehensive operating data ZH of the hydropower unit, the operation failure rating YXGZPJ output through the data evaluation function in step three, the maintenance failure rating WXGZPJ obtained through the failure analysis function in step four, and the power rating GLPJ calculated for the hydropower unit in step five can more clearly see which factors cause the impact on the hydropower unit, record and store the historical operating data of the equipment, facilitate long-term trend analysis, fault troubleshooting and performance evaluation, and when certain values exceed the corresponding thresholds, an intuitive warning can be obtained.

[0074] The water flow Q, unit speed N, unit operating temperature T, and inlet pressure P of the hydropower unit obtained by this acquisition and processing in and the outlet pressure P of the hydropower unit out See the following table:

[0075] Water flow Q

[0076]

[0077]

[0078] Unit speed N

[0079] N Unit speed <![CDATA[N1]]> 1600 rpm <![CDATA[N2]]> 1700 rpm <![CDATA[N3]]> 1580 rpm <![CDATA[N4]]> 1620 rpm <![CDATA[N5]]> 1650 rpm

[0080] Unit operating temperature T

[0081] T Unit temperature <![CDATA[T1]]> 65℃ <![CDATA[T2]]> 66℃ <![CDATA[T3]]> 64℃ <![CDATA[T4]]> 68℃ <![CDATA[T5]]> 67℃

[0082] Inlet pressure P of the hydropower unit in

[0083]

[0084]

[0085] Outlet pressure P of the hydropower unit in

[0086] <![CDATA[P out > Outlet pressure of hydropower unit <![CDATA[P out 1 > 0.6 MPa <![CDATA[P out 2 > 0.6 MPa <![CDATA[P out 3 > 0.601 MPa <![CDATA[P out 4 > 0.6005 MPa <![CDATA[P out 5 > 0.5985 MPa

[0087] Q0 = 220, N0 = 2000, T0 = 80, , WXCS = 3, GZCS = 3, GL = 100.01, GL0 = 100;

[0088]

[0089] WXGZPJ = ln(WXCS + e GZCS ) = ln(3 + e 3 ) = 3.1392;

[0090] GLPJ = GL - GL0 = 100.01 - 100 = 0.01;

[0091] ZH = αYXGZPJ + βWXGZPJ + γGLPJ = -0.78418 * (-100) - 3.1392 * 10 - 0.01 * 100 = 46.026, which can be calculated at this time;

[0092] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An operation status evaluation method for hydropower unit management, characterized in that: It includes the following steps: Step 1: Real-time collection of water flow Q, unit speed N, unit operating temperature T, and hydropower unit inlet pressure P of the hydropower unit in and the outlet pressure of the hydropower unit P out ; Step 2: Preprocess the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit, and outlet pressure P of the hydropower unit collected in Step 1. in and the outlet pressure P of the hydropower unit out The preprocessing specifically includes: judging the data outliers in the collection process, and then removing and supplementing the outliers. Step 3: Input the preprocessed data in Step 2 into the operation data evaluation function, and through the data evaluation function, output the operation fault rating YXGZPJ; Step 4: Collect the fault data and maintenance data of the hydropower unit, analyze the fault conditions of the hydropower unit, and obtain the maintenance fault rating WXGZPJ through the fault analysis function; Step 5: Collect the power data of the hydropower unit, calculate the power of the hydropower unit, and obtain the power rating GLPJ; Step 6: Combine the operation fault rating YXGZPJ output through the data evaluation function in Step 3, the maintenance fault rating WXGZPJ obtained through the fault analysis function in Step 4, and the power rating GLPJ calculated for the power of the hydropower unit in Step 5 to obtain the operation comprehensive data ZH of the hydropower unit; Step 7: Visualize the operation comprehensive data ZH of the hydropower unit, the operation fault rating YXGZPJ output through the data evaluation function in Step 3, the maintenance fault rating WXGZPJ obtained through the fault analysis function in Step 4, and the power rating GLPJ calculated for the power of the hydropower unit in Step 5, and estimate the life SM of the hydropower unit in combination.

2. The operating state evaluation method for the management of a hydropower unit according to claim 1, characterized in that: The expressions for collecting the water flow Q, unit speed N, and unit operation temperature T of the hydropower unit in Step 1 are as follows: Q=[Q1,…,Q i ,…,Q n ] N = [N1, …, N i , …, N n ​ T = [T1, …, T i , …, T n ​ Among them, Q1,…,Q i ,…,Q n N1,…,N represent the water flow rate measured by the first water flow sensor of the hydropower unit,…, the water flow rate measured by the i-th water flow sensor,…, the water flow rate measured by the n-th water flow sensor, respectively. i ,…,N n represents the unit speed measured by the first unit speed sensor of the hydropower unit, ..., the unit speed measured by the i-th unit speed sensor, ..., the unit speed measured by the n-th unit speed sensor, T1, ..., T i ,…,T n They respectively represent the unit operating temperature measured by the first unit operating temperature sensor of the hydropower unit, ..., the unit operating temperature measured by the i-th unit operating temperature sensor, ..., the unit operating temperature measured by the n-th unit operating temperature sensor.

3. The operating state evaluation method for hydropower unit management according to claim 2, characterized in that: In step 1, the inlet pressure P of the hydropower unit is collected. in and the outlet pressure of the hydropower unit P out The expression is as follows: P in =[P in 1 ,…,P in i ,…,P in n ] P out = [P out 1 , …, P out i , …, P out n ​ Among them, P in 1 , …, P in i , …, P in n represents the first inlet pressure of the hydroelectric unit measured by the inlet sensor of the hydroelectric unit, …, the i-th inlet pressure of the hydroelectric unit measured by the inlet sensor of the hydroelectric unit, …, the n-th inlet pressure of the hydroelectric unit measured by the inlet sensor of the hydroelectric unit, P out 1 , …, P out i , …, P out n represents the first outlet pressure of the hydroelectric unit measured by the outlet sensor of the hydroelectric unit, …, the i-th outlet pressure of the hydroelectric unit measured by the outlet sensor of the hydroelectric unit, …, the n-th outlet pressure of the hydroelectric unit measured by the outlet sensor of the hydroelectric unit.

4. The operating status assessment method for hydropower unit management according to claim 3 is characterized in that: In the step 2, the water flow Q, the speed N, the operating temperature T, the inlet pressure P of the hydropower unit are collected. in and the outlet pressure of the hydropower unit P out The specific steps of preprocessing are: eliminating the data collected by each sensor through the outlier judgment function and supplementing the outliers.

5. The operating state evaluation method for hydropower unit management according to claim 4, characterized in that: The specific expression of the outlier judgment function is as follows: Among them, f(x i ) represents an outlier judgment function, and x i represents the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit in and the i-th element in the outlet pressure P out of the hydropower unit, δ min and δ max represent the minimum safety value and the maximum safety value in the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P in and the outlet pressure P out of the hydropower unit, represents the sum of elements other than x i , and x j represents the water flow rate Q, unit speed N, unit operating temperature T, inlet pressure P of the hydropower unit in and the j-th element in the outlet pressure P out of the hydropower unit other than x i .

6. The operating state evaluation method for the management of a hydropower unit according to claim 1, characterized in that: The specific expression for the data evaluation function in Step 3 to output the operation fault rating is as follows: Among them, YXGZPJ represents the operating fault rating, Q represents the water flow rate of the hydropower unit, Q0 represents the safety threshold of the water flow rate of the hydropower unit, N represents the unit speed, N0 represents the safety threshold of the unit speed of the hydropower unit, T represents the unit operating temperature, T0 represents the safety threshold of the unit operating temperature of the hydropower unit, and P in represents the inlet pressure of the hydropower unit, represents the safety threshold of the inlet pressure of the hydropower unit, and P out represents the outlet pressure of the hydropower unit, represents the safety threshold of the inlet pressure of the hydropower unit.

7. The operating state evaluation method for the management of a hydropower unit according to claim 1, characterized in that: The specific expression for analyzing the fault conditions of the hydropower unit in Step 4 and obtaining the maintenance fault rating WXGZPJ through the fault analysis function is as follows: WXGZPJ = lb(WXCS + e GZCS ) Among them, WXCS represents the number of maintenance times, GZCS represents the number of fault shutdowns, e represents the natural constant, and ln represents the logarithmic function with the natural constant e as the base.

8. The operating state evaluation method for the management of a hydropower unit according to claim 1, characterized in that: The specific expression for calculating the power of the hydropower unit in Step 5 to obtain the power rating GLPJ is as follows: GLPJ = GL - GL0 Among them, GLPJ represents the power rating, GL0 represents the rated power of the hydropower unit, and GL represents the power of the hydropower unit.

9. The method for evaluating the operating status of a hydropower unit management according to claim 1, characterized in that: The specific expression for combining the operation fault rating YXGZPJ output through the data evaluation function in Step 3, the maintenance fault rating WXGZPJ obtained through the fault analysis function in Step 4, and the power rating GLPJ calculated for the power of the hydropower unit in Step 5 to obtain the operation comprehensive data ZH of the hydropower unit in Step 6 is as follows: ZH = αYXGZPJ + βWXGZPJ + γGLPJ Among them, α, β, and γ respectively represent three different weight coefficients, GLPJ represents the power rating, WXCS represents the number of maintenance times, and YXGZPJ represents the operation fault rating.

10. The operating state evaluation method for hydropower unit management according to claim 1, characterized in that: The specific expression for estimating the life SM of the hydropower unit in Step 7 is as follows: Among them, SM represents the service life of the hydropower unit, represents the average remaining life, ZH max represents the standard value of the comprehensive operation data of the hydropower unit.

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