Intelligent power plant comprehensive monitoring management system

Abstract

The invention relates to the technical field of power plant management, and discloses an intelligent power plant comprehensive monitoring management system, which is characterized in that temperature change data of key parts of power plant equipment along with time and environment parameters of a working area of the power plant equipment are acquired through a data acquisition module; the method comprises the following steps: fitting a function curve of temperature of key parts of power plant equipment along with time change through a data processing module, intercepting a temperature anomaly time period of the key parts of the power plant equipment, and rejecting unqualified temperature data according to environmental parameters of a working area of the power plant equipment; and the state evaluation module obtains a function curve of temperature change along with time of key parts of the power plant equipment in the rejected unqualified time period, constructs a power plant equipment state coefficient mathematical calculation model, finally compares the power plant equipment state coefficient with a power plant equipment state coefficient threshold set by the system, and evaluates the state of the power plant equipment. By eliminating the interference of unqualified data, the accuracy and reliability of monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant management, and in particular to a comprehensive monitoring and management system for a smart power plant. Background Art

[0002] As the core of energy supply, the safe operation of power plant equipment is of vital importance. Traditional temperature monitoring methods often rely on contact temperature measuring instruments, such as thermocouples and thermal resistors, which have disadvantages such as limited temperature measurement range, slow response speed, and susceptibility to environmental influences. Infrared monitoring technology, as a non-contact temperature measurement method, has the advantages of wide temperature measurement range, fast response speed, and accurate measurement, and has broad application prospects in power plant equipment temperature monitoring.

[0003] However, in the existing power plant equipment temperature monitoring process, although the temperature parameters of the power plant equipment can be accurately monitored, these parameters will be affected by environmental factors, resulting in some of the monitored data being unqualified. If these unqualified data are used to evaluate the power plant equipment, misjudgment may occur, resulting in losses. Summary of the invention

[0004] The purpose of the present invention is to provide a smart power plant comprehensive monitoring and management system to solve the above-mentioned technical problems.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] A smart power plant integrated monitoring and management system, the system comprising: a data acquisition module, a data processing module, a status evaluation module and an equipment management module;

[0007] The data acquisition module includes a temperature acquisition unit and an environment acquisition unit;

[0008] The temperature acquisition unit includes a plurality of infrared temperature measuring sensors, which are deployed at key parts of the power plant equipment to collect infrared radiation information on the surface of the equipment in real time and convert it into temperature data;

[0009] The environmental collection unit includes a plurality of inspection robots, which are deployed in the working area of ​​the power plant equipment and are used to collect environmental parameters of the working area of ​​the power plant equipment in real time;

[0010] The data processing module is used to process the data collected by the data collection module, and to remove the unqualified temperature data obtained by the temperature collection unit, and to send the qualified temperature data to the status evaluation module;

[0011] The state evaluation module is used to analyze the received data and evaluate the state of the power plant equipment according to the analysis results;

[0012] The equipment management module is used to control the operation of the power plant equipment according to the result of the status assessment.

[0013] As a further description of the solution of the present invention, the working process of the data acquisition module includes:

[0014] The power plant equipment is numbered in the following order: 1, 2, ..., n;

[0015] Obtain the temperature variation data of the key parts of the i-th power plant equipment over time, and construct the temperature variation function T of the key parts of the i-th power plant equipment over time based on the data i (t);

[0016] Construct the coordinate system xoy, and fit the temperature change function curve y=T of the key parts of the i-th power plant equipment in the coordinate system xoy i (t).

[0017] As a further description of the solution of the present invention, the working process of the data processing module includes:

[0018] In the coordinate system, the fitting curve y 1 =T i1 and 2 =T i2 , where [T i1 , T i2 ] is the temperature standard range of the key parts of the i-th power plant equipment preset by the system;

[0019] Comparison curve y = T i (t), y 1 =T i1 and 2 =T i2 , when y 1 ≤y≤y 2 When , it means that the temperature of the key parts of the i-th power plant equipment is normal;

[0020] When T i (t) <T i1 or T i (t)>T i2 When , it indicates that the temperature of the key parts of the i-th power plant equipment is abnormal;

[0021] Intercept the time period of temperature abnormality of the key parts of the i-th power plant equipment, take Δt as a period, and divide the time period of temperature abnormality of the key parts of the i-th power plant equipment into m temperature abnormality sub-time periods;

[0022] The environmental parameters of the i-th power plant equipment working area in the m temperature abnormality sub-time periods are obtained respectively, and unqualified temperature data are eliminated according to the environmental parameters of the i-th power plant equipment working area.

[0023] As a further description of the solution of the present invention, the working process of removing unqualified temperature data according to the environmental parameters of the i-th power plant equipment working area includes:

[0024] Obtain the environmental parameters of the i-th power plant equipment working area in the j-th temperature anomaly sub-time period, where j belongs to [1, m], and compare the environmental parameter values ​​of each i-th power plant equipment working area with the corresponding standard interval:

[0025] If there are environmental parameter items that do not meet the standard range, the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is judged to be unqualified, and the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is discarded;

[0026] If there is no environmental parameter item that does not meet the standard range, further judgment is made on the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period.

[0027] As a further description of the solution of the present invention, the working process of further judging the temperature data of the key parts of the i-th power plant equipment collected in the j-th temperature abnormality sub-time period includes:

[0028] Construct a temperature data qualification coefficient calculation model, the expression is:

[0029]

[0030] In the formula, Q j is the qualified coefficient of temperature data in the jth temperature anomaly sub-time period, S is the total number of environmental parameters, k belongs to [1, S], E k is the kth environmental parameter of the i-th power plant equipment working area in the j-th temperature abnormality sub-time period, E k0 is the kth environmental parameter standard value of the ith power plant equipment working area in the jth temperature abnormal sub-time period set by the system, ΔE kth is the reference value of environmental parameter difference, is the weight coefficient corresponding to the kth environmental parameter;

[0031] The qualified coefficient Q of the temperature data in the jth temperature anomaly sub-time period is j The temperature data qualification coefficient threshold interval [Q 1 , Q 2 ]Comparison, if Q j Belong to [Q 1 , Q 2 ] indicates that the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-period is qualified. j Does not belong to [Q1 , Q 2 ] indicates that the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is unqualified, and the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is discarded.

[0032] As a further description of the solution of the present invention, the working process of the state assessment module includes:

[0033] Get the temperature variation function curve y of the key parts of the i-th power plant equipment after eliminating the unqualified time period 0 =T i (t);

[0034] Get curve y 0 The upper side and the curve y 1 The area S enclosed below 1 , get the curve y 0 Below and curve y 2 The area enclosed above is S 2 ;

[0035] Construct a mathematical calculation model for the equipment status coefficient of the i-th power plant, and the expression is:

[0036] σ i =α*S 1 +β*S 2 ;

[0037] In the formula, α and β are weight coefficients;

[0038] The equipment status coefficient σ of the i-th power plant i The threshold value of the equipment status coefficient of the i-th power plant set by the system is σ 0 By comparison, if the equipment status coefficient σ of the i-th power plant i Greater than or equal to the threshold value σ of the equipment status coefficient of the i-th power plant 0 , it means that the equipment status of the i-th power plant is abnormal, otherwise, it means that the equipment status of the i-th power plant is normal.

[0039] As a further description of the solution of the present invention, the working process of the device management module includes:

[0040] When the status of the i-th power plant equipment is abnormal, a corresponding warning is immediately issued and the i-th power plant equipment is temporarily shut down remotely.

[0041] As a further description of the solution of the present invention, the working method of the system includes the following steps:

[0042] Step S1, number the power plant equipment and obtain the temperature change data of the key parts of the i-th power plant equipment over time;

[0043] Step S2, fitting a function curve of the temperature change over time of the key parts of the i-th power plant equipment, and intercepting m time periods of abnormal temperature of the key parts of the i-th power plant equipment;

[0044] Step S3, respectively obtaining the environmental parameters of the i-th power plant equipment working area in the m temperature abnormality sub-time periods, and eliminating unqualified temperature data according to the environmental parameters of the i-th power plant equipment working area;

[0045] Step S4, obtaining the temperature change function curve of the key parts of the i-th power plant equipment excluding the unqualified time period, and constructing a mathematical calculation model of the state coefficient of the i-th power plant equipment;

[0046] Step S5: Set the equipment status coefficient σ of the i-th power plant i The threshold value of the equipment status coefficient of the i-th power plant set by the system is σ 0 By comparison, if the equipment status coefficient σ of the i-th power plant i Greater than or equal to the threshold value σ of the equipment status coefficient of the i-th power plant 0 , it means that the equipment status of the i-th power plant is abnormal, otherwise, it means that the equipment status of the i-th power plant is normal.

[0047] The beneficial effects of the present invention are as follows: the present invention first numbers the power plant equipment, obtains the temperature variation data of the key parts of the i-th power plant equipment over time and the environmental parameters of the i-th power plant equipment working area through the data acquisition module, then fits the temperature variation function curve of the key parts of the i-th power plant equipment over time through the data processing module, intercepts m time periods of abnormal temperature of the key parts of the i-th power plant equipment, and eliminates unqualified temperature data according to the environmental parameters of the i-th power plant equipment working area, then, the state evaluation module obtains the temperature variation function curve of the key parts of the i-th power plant equipment excluding the unqualified time period, constructs a mathematical calculation model of the state coefficient of the i-th power plant equipment, and finally compares the state coefficient of the i-th power plant equipment with the i-th power plant equipment state coefficient threshold set by the system, evaluates the state of the i-th power plant equipment, and improves the accuracy and reliability of monitoring by eliminating the interference of unqualified data. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] Figure 1 It is a partial structural diagram of the smart power plant comprehensive monitoring and management system provided by the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 ,The present invention is a smart power plant integrated monitoring and management system, the system includes: a data acquisition module, a data processing module, a status evaluation module and an equipment management module;

[0052] The data acquisition module includes a temperature acquisition unit and an environment acquisition unit;

[0053] The temperature acquisition unit includes a plurality of infrared temperature measuring sensors, which are deployed at key parts of the power plant equipment to collect infrared radiation information on the surface of the equipment in real time and convert it into temperature data;

[0054] The environmental collection unit includes a plurality of inspection robots, which are deployed in the working area of ​​the power plant equipment and are used to collect environmental parameters of the working area of ​​the power plant equipment in real time;

[0055] The data processing module is used to process the data collected by the data collection module, and to remove the unqualified temperature data obtained by the temperature collection unit, and to send the qualified temperature data to the status evaluation module;

[0056] The state evaluation module is used to analyze the received data and evaluate the state of the power plant equipment according to the analysis results;

[0057] The equipment management module is used to control the operation of the power plant equipment according to the result of the status assessment.

[0058] Through the above technical scheme, the present invention first numbers the power plant equipment, obtains the temperature change data of the key parts of the i-th power plant equipment over time and the environmental parameters of the i-th power plant equipment working area through the data acquisition module, then fits the temperature change function curve of the key parts of the i-th power plant equipment over time through the data processing module, and intercepts m time periods of abnormal temperature of the key parts of the i-th power plant equipment, and eliminates unqualified temperature data according to the environmental parameters of the i-th power plant equipment working area, then, the state evaluation module obtains the temperature change function curve of the key parts of the i-th power plant equipment after eliminating the unqualified time period, constructs the mathematical calculation model of the state coefficient of the i-th power plant equipment, and finally the i-th power plant equipment state coefficient σ i The threshold value of the equipment status coefficient of the i-th power plant set by the system is σ 0Compare and evaluate the status of the i-th power plant equipment, and improve the accuracy and reliability of monitoring by eliminating the interference of unqualified data.

[0059] The working process of the data acquisition module includes:

[0060] The power plant equipment is numbered in the following order: 1, 2, ..., n;

[0061] Obtain the temperature variation data of the key parts of the i-th power plant equipment over time, and construct the temperature variation function T of the key parts of the i-th power plant equipment over time based on the data i (t);

[0062] Construct the coordinate system xoy, and fit the temperature change function curve y=T of the key parts of the i-th power plant equipment in the coordinate system xoy i (t).

[0063] The working process of the data processing module includes:

[0064] In the coordinate system, the fitting curve y 1 =T i1 and 2 =T i2 , where [T i1 , T i2 ] is the temperature standard range of the key parts of the i-th power plant equipment preset by the system;

[0065] Comparison curve y = T i (t), y 1 =T i1 and 2 =T i2 , when y 1 ≤y≤y 2 When , it means that the temperature of the key parts of the i-th power plant equipment is normal;

[0066] When T i (t) <T i1 or T i (t)>T i2 When , it indicates that the temperature of the key parts of the i-th power plant equipment is abnormal;

[0067] Intercept the time period of temperature abnormality of the key parts of the i-th power plant equipment, take Δt as a period, and divide the time period of temperature abnormality of the key parts of the i-th power plant equipment into m temperature abnormality sub-time periods;

[0068] The environmental parameters of the i-th power plant equipment working area in the m temperature abnormality sub-time periods are obtained respectively, and unqualified temperature data are eliminated according to the environmental parameters of the i-th power plant equipment working area.

[0069] Through the above technical solution, this embodiment provides a method for obtaining temperature abnormality data of key parts of the i-th power plant equipment. First, fit the temperature change function curve y=T of the key parts of the i-th power plant equipment over time. i (t), then, the curve y = T i (t) respectively with the temperature standard curve y of the key parts of the i-th power plant equipment preset by the system 1 =T i1 and 2 =T i2 Compare, when T i (t) <T i1 or T i (t)>T i2 When , it indicates that the temperature of the key parts of the i-th power plant equipment is abnormal. Finally, in order to eliminate the unqualified temperature data in the temperature abnormality data of the key parts of the i-th power plant equipment, the time period of the temperature abnormality of the key parts of the i-th power plant equipment is intercepted, and Δt is taken as a period. The time period of the temperature abnormality of the key parts of the i-th power plant equipment is divided into m temperature abnormality sub-time periods.

[0070] The working process of removing unqualified temperature data according to the environmental parameters of the working area of ​​the i-th power plant equipment includes:

[0071] Obtain the environmental parameters of the i-th power plant equipment working area in the j-th temperature anomaly sub-time period, where j belongs to [1, m], and compare the environmental parameter values ​​of each i-th power plant equipment working area with the corresponding standard interval:

[0072] If there are environmental parameter items that do not meet the standard range, the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is judged to be unqualified, and the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is discarded;

[0073] If there is no environmental parameter item that does not meet the standard range, further judgment is made on the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period.

[0074] The working process of further judging the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period includes:

[0075] Construct a temperature data qualification coefficient calculation model, the expression is:

[0076]

[0077] In the formula, Q j is the qualified coefficient of temperature data in the jth temperature anomaly sub-time period, S is the total number of environmental parameters, k belongs to [1, S], Ek is the kth environmental parameter of the i-th power plant equipment working area in the j-th temperature abnormality sub-time period, E k0 is the kth environmental parameter standard value of the ith power plant equipment working area in the jth temperature abnormal sub-time period set by the system, ΔE kth is the reference value of environmental parameter difference, is the weight coefficient corresponding to the kth environmental parameter;

[0078] The qualified coefficient Q of the temperature data in the jth temperature anomaly sub-time period is j The temperature data qualification coefficient threshold interval [Q 1 , Q 2 ]Comparison, if Q j Belong to [Q 1 , Q 2 ] indicates that the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-period is qualified. j Does not belong to [Q 1 , Q 2 ] indicates that the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is unqualified, and the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is discarded.

[0079] Through the above technical solution, this embodiment provides a method for eliminating unqualified temperature data in the temperature anomaly data of the key parts of the i-th power plant equipment. First, the environmental parameters of the i-th power plant equipment working area in the j-th temperature anomaly sub-time period are obtained; then, the environmental parameter values ​​of each item of the i-th power plant equipment working area are compared with the corresponding standard intervals. If there are environmental parameter items that do not meet the standard interval, it is judged that the temperature data of the key parts of the i-th power plant equipment collected in the j-th temperature anomaly sub-time period is unqualified, and the temperature data of the key parts of the i-th power plant equipment collected in the j-th temperature anomaly sub-time period are eliminated. If there are no environmental parameter items that do not meet the standard interval, the formula is used. Calculate the temperature data qualification coefficient Q for the jth temperature anomaly sub-period j , the qualified coefficient Q of the temperature data in the j-th temperature anomaly sub-time period j The temperature data qualification coefficient threshold interval [Q 1 , Q 2 ]Comparison, if Q j Belong to [Q 1 , Q 2 ] indicates that the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-period is qualified. j Does not belong to [Q 1 , Q 2] indicates that the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is unqualified, and the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is discarded.

[0080] The working process of the status assessment module includes:

[0081] Get the temperature variation function curve y of the key parts of the i-th power plant equipment after eliminating the unqualified time period 0 =T i (t);

[0082] Get curve y 0 The upper side and the curve y 1 The area S enclosed below 1 , get the curve y 0 Below and curve y 2 The area enclosed above is S 2 ;

[0083] Construct a mathematical calculation model for the equipment status coefficient of the i-th power plant, and the expression is:

[0084] σ i =α*S 1 +β*S 2 ;

[0085] In the formula, α and β are weight coefficients;

[0086] The equipment status coefficient σ of the i-th power plant i The threshold value of the equipment status coefficient of the i-th power plant set by the system is σ 0 By comparison, if the equipment status coefficient σ of the i-th power plant i Greater than or equal to the threshold value σ of the equipment status coefficient of the i-th power plant 0 , it means that the equipment status of the i-th power plant is abnormal, otherwise, it means that the equipment status of the i-th power plant is normal.

[0087] Through the above technical solution, this embodiment provides a method for evaluating power plant equipment. First, obtain the temperature change function curve y of the key parts of the i-th power plant equipment after eliminating the unqualified time period. 0 =T i (t), and then compared with the temperature standard curve y of the key parts of the i-th power plant equipment preset by the system 1 =T i1 and 2 =T i2 Compare and get curve y 0 The upper side and the curve y 1 The area S enclosed below 1 , get the curve y 0 Below and curve y2 The area enclosed above is S 2 , through the formula σ i =α*S 1 +β*S 2 Calculate the equipment status coefficient of the ith power plant and transform the equipment status coefficient σ of the ith power plant i The threshold value of the equipment status coefficient of the i-th power plant set by the system is σ 0 By comparison, if the equipment status coefficient σ of the i-th power plant i Greater than or equal to the threshold value σ of the equipment status coefficient of the i-th power plant 0 , it means that the equipment status of the i-th power plant is abnormal, otherwise, it means that the equipment status of the i-th power plant is normal.

[0088] The working process of the device management module includes:

[0089] When the status of the i-th power plant equipment is abnormal, a corresponding warning is immediately issued and the i-th power plant equipment is temporarily shut down remotely.

[0090] The working method of the system comprises the following steps:

[0091] Step S1, number the power plant equipment and obtain the temperature change data of the key parts of the i-th power plant equipment over time;

[0092] Step S2, fitting a function curve of the temperature change over time of the key parts of the i-th power plant equipment, and intercepting m time periods of abnormal temperature of the key parts of the i-th power plant equipment;

[0093] Step S3, respectively obtaining the environmental parameters of the i-th power plant equipment working area in the m temperature abnormality sub-time periods, and eliminating unqualified temperature data according to the environmental parameters of the i-th power plant equipment working area;

[0094] Step S4, obtaining the temperature change function curve of the key parts of the i-th power plant equipment excluding the unqualified time period, and constructing a mathematical calculation model of the state coefficient of the i-th power plant equipment;

[0095] Step S5: Set the equipment status coefficient σ of the i-th power plant i The threshold value of the equipment status coefficient of the i-th power plant set by the system is σ 0 By comparison, if the equipment status coefficient σ of the i-th power plant i Greater than or equal to the threshold value σ of the equipment status coefficient of the i-th power plant 0 , it means that the equipment status of the i-th power plant is abnormal, otherwise, it means that the equipment status of the i-th power plant is normal.

[0096] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation 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 smart power plant integrated monitoring and management system, characterized in that: The system includes: a data acquisition module, a data processing module, a status evaluation module and an equipment management module; The data acquisition module includes a temperature acquisition unit and an environment acquisition unit; The temperature acquisition unit includes a plurality of infrared temperature measuring sensors, which are deployed at key parts of the power plant equipment to collect infrared radiation information on the surface of the equipment in real time and convert it into temperature data; The environmental collection unit includes a plurality of inspection robots, which are deployed in the working area of ​​the power plant equipment and are used to collect environmental parameters of the working area of ​​the power plant equipment in real time; The data processing module is used to process the data collected by the data collection module, and to remove the unqualified temperature data obtained by the temperature collection unit, and to send the qualified temperature data to the status evaluation module; The state evaluation module is used to analyze the received data and evaluate the state of the power plant equipment according to the analysis results; The equipment management module is used to control the operation of the power plant equipment according to the result of the status assessment.

2. The smart power plant integrated monitoring and management system according to claim 1 is characterized in that: The working process of the data acquisition module includes: The power plant equipment is numbered in the following order: 1, 2, ..., n; Obtain the temperature variation data of the key parts of the i-th power plant equipment over time, and construct the temperature variation function T of the key parts of the i-th power plant equipment over time based on the data i (t); Construct the coordinate system xoy, and fit the temperature change function curve y=T of the key parts of the i-th power plant equipment in the coordinate system xoy i (t).

3. The smart power plant integrated monitoring and management system according to claim 2 is characterized in that: The working process of the data processing module includes: In the coordinate system, the fitting curve y1 = T i1 and y2 = T i2 , where [T i1 , T i2 ] is the temperature standard range of the key parts of the i-th power plant equipment preset by the system; Comparison curve y = T i (t), y1 = T i1 and y2 = T i2 , when y1≤y≤y2, it means that the temperature of the key parts of the i-th power plant equipment is normal; When T i (t) <T i1 or T i (t)>T i2 When , it indicates that the temperature of the key parts of the i-th power plant equipment is abnormal; Intercept the time period of temperature abnormality of the key parts of the i-th power plant equipment, take Δt as a period, and divide the time period of temperature abnormality of the key parts of the i-th power plant equipment into m temperature abnormality sub-time periods; The environmental parameters of the i-th power plant equipment working area in the m temperature abnormality sub-time periods are obtained respectively, and unqualified temperature data are eliminated according to the environmental parameters of the i-th power plant equipment working area.

4. The smart power plant integrated monitoring and management system according to claim 3 is characterized in that: The working process of removing unqualified temperature data according to the environmental parameters of the working area of ​​the i-th power plant equipment includes: Obtain the environmental parameters of the i-th power plant equipment working area in the j-th temperature anomaly sub-time period, where j belongs to [1, m], and compare the environmental parameter values ​​of each i-th power plant equipment working area with the corresponding standard interval: If there are environmental parameter items that do not meet the standard range, the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is judged to be unqualified, and the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is discarded; If there is no environmental parameter item that does not meet the standard range, further judgment is made on the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period.

5. The smart power plant integrated monitoring and management system according to claim 4 is characterized in that: The working process of further judging the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period includes: Construct a temperature data qualification coefficient calculation model, the expression is: In the formula, Q j is the qualified coefficient of temperature data in the jth temperature anomaly sub-time period, S is the total number of environmental parameters, k belongs to [1, S], E k is the kth environmental parameter of the i-th power plant equipment working area in the j-th temperature abnormality sub-time period, E k0 is the kth environmental parameter standard value of the ith power plant equipment working area in the jth temperature abnormal sub-time period set by the system, ΔE kth is the reference value of environmental parameter difference, is the weight coefficient corresponding to the kth environmental parameter; The qualified coefficient Q of the temperature data in the jth temperature anomaly sub-time period is j Compared with the temperature data qualification coefficient threshold interval [Q1, Q2] set by the system, if Q j If it is [Q1, Q2], it means that the temperature data of the key parts of the i-th power plant equipment collected in the j-th temperature abnormality sub-time period is qualified. j If it does not belong to [Q1, Q2], it means that the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is unqualified, and the temperature data of the key parts of the i-th power plant equipment collected during the j-th temperature abnormality sub-time period is discarded.

6. The smart power plant integrated monitoring and management system according to claim 5 is characterized in that: The working process of the status assessment module includes: Obtain the temperature variation function curve y0=T of the key parts of the i-th power plant equipment after eliminating the unqualified time period i (t); Get the area S1 enclosed by the upper part of the curve y0 and the lower part of the curve y1, and get the area S2 enclosed by the lower part of the curve y0 and the upper part of the curve y2; Construct a mathematical calculation model for the equipment status coefficient of the i-th power plant, and the expression is: s i =α*S1+β*S2; In the formula, α and β are weight coefficients; The equipment status coefficient σ of the i-th power plant i Compared with the threshold value σ0 of the equipment status coefficient of the i-th power plant set by the system, if the equipment status coefficient σ i If it is greater than or equal to the threshold value σ0 of the equipment status coefficient of the i-th power plant, it means that the equipment status of the i-th power plant is abnormal; otherwise, it means that the equipment status of the i-th power plant is normal.

7. The smart power plant integrated monitoring and management system according to claim 6 is characterized in that: The working process of the device management module includes: When the status of the i-th power plant equipment is abnormal, a corresponding warning is immediately issued and the i-th power plant equipment is temporarily shut down remotely.

8. The smart power plant integrated monitoring and management system according to any one of claims 1 to 7, characterized in that: The working method of the system comprises the following steps: Step S1, number the power plant equipment and obtain the temperature change data of the key parts of the i-th power plant equipment over time; Step S2, fitting a function curve of the temperature change over time of the key parts of the i-th power plant equipment, and intercepting m time periods of abnormal temperature of the key parts of the i-th power plant equipment; Step S3, respectively obtaining the environmental parameters of the i-th power plant equipment working area in the m temperature abnormality sub-time periods, and eliminating unqualified temperature data according to the environmental parameters of the i-th power plant equipment working area; Step S4, obtaining the temperature change function curve of the key parts of the i-th power plant equipment excluding the unqualified time period, and constructing a mathematical calculation model of the state coefficient of the i-th power plant equipment; Step S5: Set the equipment status coefficient σ of the i-th power plant i Compared with the threshold value σ0 of the equipment status coefficient of the i-th power plant set by the system, if the equipment status coefficient σ i If it is greater than or equal to the threshold value σ0 of the equipment status coefficient of the i-th power plant, it means that the equipment status of the i-th power plant is abnormal; otherwise, it means that the equipment status of the i-th power plant is normal.

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