Intelligent high-voltage switch cabinet electric mechanism operation diagnosis system

Abstract

The invention discloses an intelligent operation diagnosis system for an electric mechanism of a high-voltage switch cabinet, and belongs to the technical field of high-voltage switch cabinets. Different-dimension process data monitoring analysis is performed on the opening and closing process of the electric mechanism from the opening and closing duration aspect and the opening and closing angle aspect, whether the local opening and closing process performance in the opening and closing duration aspect and the opening and closing angle aspect is normal or not can be obtained, and the method is suitable for opening and closing operation monitoring of the electric mechanism in different driving modes. The monitoring and analysis results of the early-stage opening and closing duration and the opening and closing angle are integrated and analyzed to obtain the overall opening and closing completion state and the corresponding abnormal degree, so that alarm prompts corresponding to the abnormal degree can be given to different electric mechanisms in the high-voltage switch cabinet; the diversity and reliability of monitoring the overall opening and closing completion state of different electric mechanisms are improved; the method is used for solving the technical problems of one-sidedness of operation diagnosis of the electric mechanism of the high-voltage switch cabinet and single data analysis and utilization in the existing scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage switch cabinets, and particularly to an intelligent operation diagnosis system for the electric mechanism of a high-voltage switch cabinet. Background Art

[0002] The electric mechanisms of high-voltage switch cabinets are mainly used to control the opening and closing operations of equipment such as circuit breakers, disconnectors, and earthing switches inside the switch cabinets. Common electric mechanisms include the following types: motor-driven mechanisms, pneumatic mechanisms, hydraulic mechanisms, and manual mechanisms.

[0003] When implementing the existing operation supervision schemes for the electric mechanisms of high-voltage switch cabinets, generally only the specific operation parameters of a certain electric mechanism are used for data statistics and processing analysis to determine whether its operation status is normal. For example, the patent application No. 2022116995917, titled "Operation Diagnosis System and Method for Electric Mechanism of Intelligent High-Voltage Switch Cabinet", discloses that by comprehensively analyzing various state parameters during the operation of the motor and calculating the state coefficient, the operation status of the motor is fed back through the numerical value of the state coefficient, and early warnings are given in a timely manner when the operation status is abnormal; however, this scheme can only supervise and analyze the state parameters of the electric mechanism including the motor, and cannot comprehensively supervise and analyze the electric mechanisms with other driving modes inside the high-voltage switch cabinet, resulting in the problems of one-sidedness in the operation diagnosis of the electric mechanisms of high-voltage switch cabinets and single data analysis and utilization. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent operation diagnosis system for the electric mechanism of a high-voltage switch cabinet, which is used to solve the technical problems of one-sidedness in the operation diagnosis of the electric mechanism of a high-voltage switch cabinet and single data analysis and utilization in the existing scheme.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An intelligent operation diagnosis system for the electric mechanism of a high-voltage switch cabinet, comprising: A basic information monitoring and statistics module for the operation of the mechanism, which is used to monitor and statistically analyze the basic information of different aspects of the electric mechanisms with different driving modes inside the high-voltage switch cabinet, and obtain a monitoring and statistics set containing different basic monitoring information; An operation completion status analysis module for the mechanism, which is used to monitor and statistically analyze the process data of different aspects during the real-time operation of the electric mechanisms with different driving modes, and perform data analysis, and integrate and analyze the process analysis results of different aspects to determine whether the real-time completion status of the corresponding electric mechanism is normal, and give an alarm prompt for the operation completion aspect of the electric mechanism with an abnormal completion status; including: When monitoring and analyzing whether the real-time operation completion status of the electric mechanism is normal, obtain the start time point when the electric mechanism starts to operate, monitor the opening and closing angle of the electric mechanism in real time through sensors, extract the values of the real-time opening and closing angles and sort and combine them to obtain an opening and closing angle combination array; Obtain the opening and closing duration and the change value of the opening and closing angle of the electric mechanism and analyze them to obtain the opening and closing duration analysis data composed of normal opening and closing duration labels or abnormal opening and closing duration labels, and the opening and closing angle analysis data composed of normal opening and closing angle labels or abnormal opening and closing angle labels; Traverse the opening and closing duration analysis data and the opening and closing angle analysis data respectively, sum up the obtained label values to get the label sum value and analyze it to obtain the opening and closing completion status analysis data composed of normal opening and closing completion labels, partial abnormal opening and closing completion labels or overall abnormal opening and closing completion labels, and generate alarm prompts corresponding to different abnormal labels in the opening and closing completion status analysis data; The mechanism operation smoothness state analysis module is used to process and analyze the opening and closing angle change data during the real-time operation of the electric mechanism with different drive modes, obtain whether the real-time opening and closing process of the electric mechanism is smooth, and implement an alarm prompt for the smooth operation of the electric mechanism with abnormal opening and closing smoothness.

[0006] Preferably, when obtaining the drive modes of different electric mechanisms in the high-voltage switchgear cabinet and digitally processing the drive modes to obtain the corresponding drive weights, traverse and match the drive modes with the pre-stored drive mode weight table in the database to obtain the corresponding drive weights; the drive mode weight table contains several different drive modes and the associated drive weights; Obtain the corresponding standard operation parameters of the electric mechanism according to the drive mode; The drive mode, drive weight and corresponding standard operation parameters of the electric mechanism constitute the basic monitoring information; the basic monitoring information of all electric mechanisms constitutes a monitoring statistical set and is sent to the database and the operation diagnosis platform.

[0007] Preferably, the standard operation parameters include the standard opening and closing duration range, the standard opening and closing angle change value range, the standard angle difference range and the smooth design threshold corresponding to the electric mechanism.

[0008] Preferably, obtain the end time point when the electric mechanism stops operating, obtain the opening and closing duration corresponding to the electric mechanism according to the end time point and the start time point, and obtain the absolute value of the last element value in the opening and closing angle combination array and set it as the opening and closing angle change value.

[0009] Preferably, when analyzing whether the opening and closing implementation state of the electric mechanism is normal according to the opening and closing duration and the change value of the opening and closing angle, the opening and closing duration and the change value of the opening and closing angle are respectively compared and judged with the standard opening and closing duration range and the standard change value range of the opening and closing angle; If the opening and closing duration belongs to the standard opening and closing duration range, an opening and closing duration normal label is generated and the associated label value is set to 0; otherwise, an opening and closing duration abnormal label is generated and the associated label value is set to 1; If the change value of the opening and closing angle belongs to the standard change value range of the opening and closing angle, an opening and closing angle normal label is generated and the associated label value is set to 0; otherwise, an opening and closing angle abnormal label is generated and the associated label value is set to 1; The opening and closing duration normal label or the opening and closing duration abnormal label constitutes the opening and closing duration analysis data, and the opening and closing angle normal label or the opening and closing angle abnormal label constitutes the opening and closing angle analysis data.

[0010] Preferably, according to the opening and closing duration analysis data and the opening and closing angle analysis data, it is determined whether the real-time operation state of the corresponding electric mechanism during the opening and closing behavior is normal. The opening and closing duration analysis data and the opening and closing angle analysis data are respectively traversed and the obtained label values are summed to obtain the label sum value. If the label sum value is 0, an opening and closing completion normal label is generated; If the label sum value is 1, an opening and closing completion partial abnormal label is generated, and the corresponding electric mechanism and high-voltage switchgear are respectively marked as a first-class selected electric mechanism and a first-class selected high-voltage switchgear; If the label sum value is 2, an opening and closing completion overall abnormal label is generated, and the corresponding electric mechanism and high-voltage switchgear are respectively marked as a second-class selected electric mechanism and a second-class selected high-voltage switchgear.

[0011] Preferably, according to the opening and closing completion partial abnormal label in the opening and closing completion state analysis data, an alarm prompt for the opening and closing completion partial abnormality is implemented for the first-class selected electric mechanism and the first-class selected high-voltage switchgear, or according to the opening and closing completion overall abnormal label, an alarm prompt for the opening and closing completion overall abnormality is implemented for the second-class selected electric mechanism and the second-class selected high-voltage switchgear.

[0012] Preferably, obtain the opening and closing angle combination array corresponding to the whole process of the electric mechanism opening and closing, extract the numerical values of all elements in the opening and closing angle combination array, calculate the difference between the second element and the first element and mark it as the first angle difference; And so on, calculate the difference between the Nth element and the N-1th element and mark it as the N-1th angle difference; N is a positive integer representing the total number of elements; Arrange and combine the first angle difference to the N-1th angle difference in order in turn to obtain the angle difference array.

[0013] Preferably, obtain the standard angular difference range in the corresponding standard operating parameters of the electric mechanism, and sequentially traverse and match several angular differences in the angular difference array with the standard angular difference range; If the angular difference does not belong to the standard angular difference range, generate an angular change anomaly label; count the total number YB of angular change anomaly labels, and use the formula to calculate and obtain the smooth anomaly degree β corresponding to the opening and closing process of the electric mechanism; in the formula, α is the smooth design threshold corresponding to the electric mechanism.

[0014] Preferably, if the smooth anomaly degree is not less than zero, generate a smooth normal label; otherwise, generate a smooth anomaly label and mark the corresponding electric mechanism and high-voltage switchgear as the third type of selected electric mechanism and the third type of selected high-voltage switchgear respectively.

[0015] Compared with the existing solution, the beneficial effects achieved by the present invention are: By respectively monitoring and analyzing the process data of the opening and closing process of the electric mechanism from the aspects of opening and closing duration and opening and closing angle, the present invention can not only obtain whether the local opening and closing process performance in terms of opening and closing duration and opening and closing angle is normal, but also provide data support in different dimensions for the subsequent analysis of the overall opening and closing completion state, and is applicable to the opening and closing operation monitoring of electric mechanisms with different drive modes, effectively improving the applicability of the opening and closing operation monitoring of electric mechanisms and the diversity of the utilization of monitoring data.

[0016] By integrating and analyzing the monitoring and analysis results of the opening and closing duration and opening and closing angle in the early stage, the present invention can obtain the overall opening and closing completion state and the corresponding abnormal degree, and can give an alarm prompt with the corresponding abnormal degree for different electric mechanisms in the high-voltage switchgear, improving the diversity and reliability of the monitoring of the overall opening and closing completion state of different electric mechanisms.

[0017] By recording, processing and analyzing the real-time opening and closing angle in the opening and closing process of the electric mechanism, the present invention judges whether the real-time opening and closing process is smooth, realizes the diagnosis and analysis of the operating state of the electric mechanism from the aspect of the smoothness of the opening and closing process, and improves the diversity of the operation diagnosis of the electric mechanism of the high-voltage switchgear and the diversity of the data mining and utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below with reference to the accompanying drawings.

[0019] Figure 1 It is a block diagram of the modules of an intelligent high-voltage switchgear electric mechanism operation diagnosis system of the present invention.

[0020] Figure 2 It is a flow chart of the working steps of the mechanism operation smooth state analysis module in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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 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.

[0022] Embodiment 1: As Figure 1 shown, the present invention is an intelligent high-voltage switchgear electric mechanism operation diagnosis system, including a mechanism operation basic information monitoring and statistics module, a mechanism operation completion status analysis module, a database, and an operation diagnosis platform; The mechanism operation basic information monitoring and statistics module is used to monitor and statistically analyze the basic information of different driving modes of the electric mechanisms in the high-voltage switchgear, and obtain a monitoring and statistics set containing different basic monitoring information; it includes: Obtain the driving modes of different electric mechanisms in the high-voltage switchgear. The driving modes include, but are not limited to, motor drive, hydraulic drive, and pneumatic drive. When digitally processing the driving mode to obtain the corresponding driving weight, traverse and match the driving mode with the pre-stored driving mode weight table in the database to obtain the corresponding driving weight; Among them, the driving mode weight table contains several different driving modes and associated driving weights. A corresponding driving weight is preset for each driving mode. The specific value of the driving weight can be determined by the total number of historical failures of the corresponding electric mechanism, or determined by those skilled in the art according to work experience. The driving weight is used to digitally represent the driving mode of the electric mechanism; Obtain the corresponding standard operation parameters of the electric mechanism according to the driving mode; Among them, the standard operation parameters include the standard opening and closing duration range, the standard opening and closing angle change value range, the standard angle difference range, and the smooth design threshold corresponding to the electric mechanism, all of which can be determined according to the design requirement parameters of the electric mechanism; The driving mode, driving weight, and corresponding standard operation parameters of the electric mechanism constitute the basic monitoring information; the basic monitoring information of all electric mechanisms constitutes a monitoring and statistics set and is sent to the database and the operation diagnosis platform; In the embodiments of the present invention, by monitoring and statistically analyzing the basic information of different driving modes of the electric mechanisms in the high-voltage switchgear, different-dimensional data support can be provided for the subsequent supervision and analysis of the electric mechanisms with different driving modes.

[0023] The mechanism operation completion status analysis module is used to monitor, statistically analyze, and perform data analysis on the process data of different aspects during the real-time operation of electric mechanisms with different drive modes, integrate and analyze the process analysis results of different aspects to determine whether the real-time completion status of the corresponding electric mechanism is normal, and implement an alarm prompt regarding operation completion for electric mechanisms with abnormal completion status; it includes: When monitoring and analyzing whether the real-time operation completion status of the electric mechanism is normal, obtain the start time point when the electric mechanism starts to operate, which can be obtained through an infrared sensor and a timer. Real-time monitor the opening and closing angle of the electric mechanism through the sensor, extract the numerical values of the real-time opening and closing angles and sort and combine them to obtain an opening and closing angle combination array; Among them, the sensor includes but is not limited to a displacement sensor and an angle sensor; Obtain the end time point when the electric mechanism stops operating, obtain the opening and closing duration corresponding to the electric mechanism based on the end time point and the start time point. The units of the start time point and the end time point are accurate to seconds, the unit of the opening and closing duration is seconds, and obtain the absolute value of the numerical value of the last element in the opening and closing angle combination array and set it as the opening and closing angle change value; Determine the opening and closing type according to the numerical values of the elements in the opening and closing angle combination array. The opening and closing type includes the opening type and the closing type. The numerical values corresponding to the opening type are all positive, and the numerical values corresponding to the closing type are all negative. The positive and negative values represent the opening and closing directions, and determine the standard opening and closing duration range and the standard opening and closing angle change value range corresponding to the electric mechanism according to the drive mode and the opening and closing type of the electric mechanism; When analyzing whether the opening and closing implementation status is normal based on the opening and closing duration and the opening and closing angle change value of the electric mechanism, compare and judge the opening and closing duration and the opening and closing angle change value with the standard opening and closing duration range and the standard opening and closing angle change value range respectively; If the opening and closing duration belongs to the standard opening and closing duration range, generate an opening and closing duration normal label and set the associated label value to 0; otherwise, generate an opening and closing duration abnormal label and set the associated label value to 1; If the opening and closing angle change value belongs to the standard opening and closing angle change value range, generate an opening and closing angle normal label and set the associated label value to 0; otherwise, generate an opening and closing angle abnormal label and set the associated label value to 1; The opening and closing duration normal label or the opening and closing duration abnormal label constitutes the opening and closing duration analysis data, and the opening and closing angle normal label or the opening and closing angle abnormal label constitutes the opening and closing angle analysis data; In the embodiments of the present invention, by respectively monitoring and analyzing the process data of the opening and closing process of the electric mechanism from the aspects of the opening and closing duration and the opening and closing angle, it is possible to obtain whether the local opening and closing process performance in terms of the opening and closing duration and the opening and closing angle is normal, and at the same time provide data support in different dimensions for the subsequent analysis of the overall opening and closing completion state. Moreover, it is applicable to the opening and closing operation monitoring of electric mechanisms with different drive modes, effectively improving the applicability of the opening and closing operation monitoring of electric mechanisms and the diversity of the utilization of monitoring data.

[0024] Determine whether the real-time operation state of the corresponding electric mechanism during the opening and closing behavior is normal according to the opening and closing duration analysis data and the opening and closing angle analysis data. Traverse the opening and closing duration analysis data and the opening and closing angle analysis data respectively, and sum the obtained tag values to get the tag sum value. If the tag sum value is 0, generate a normal opening and closing completion tag; If the tag sum value is 1, generate a local abnormal opening and closing completion tag, and mark the corresponding electric mechanism and high-voltage switchgear as a first type of selected electric mechanism and a first type of selected high-voltage switchgear respectively; If the tag sum value is 2, generate an overall abnormal opening and closing completion tag, and mark the corresponding electric mechanism and high-voltage switchgear as a second type of selected electric mechanism and a second type of selected high-voltage switchgear respectively; The normal opening and closing completion tag, the local abnormal opening and closing completion tag, or the overall abnormal opening and closing completion tag constitutes the opening and closing completion state analysis data. According to the local abnormal opening and closing completion tag in the opening and closing completion state analysis data, give an alarm prompt for the local abnormal opening and closing completion of the first type of selected electric mechanism and the first type of selected high-voltage switchgear, or according to the overall abnormal opening and closing completion tag, give an alarm prompt for the overall abnormal opening and closing completion of the second type of selected electric mechanism and the second type of selected high-voltage switchgear; In the embodiments of the present invention, by integrating and analyzing the monitoring and analysis results of the opening and closing duration and the opening and closing angle in the early stage, the overall opening and closing completion state and the corresponding abnormal degree can be obtained, and alarm prompts corresponding to different abnormal degrees can be given to different electric mechanisms in the high-voltage switchgear, improving the diversity and reliability of the monitoring of the overall opening and closing completion state of different electric mechanisms.

[0025] Embodiment 2: On the basis of the technical solution of Embodiment 1, it further includes a mechanism operation smoothness state analysis module, which is used to process and analyze the opening and closing angle change data during the real-time operation of electric mechanisms with different drive modes, obtain whether the real-time opening and closing process of the electric mechanism is smooth, and give an alarm prompt regarding the operation smoothness for the electric mechanism with abnormal opening and closing smoothness; including: As Figure 2 shown, obtain the opening and closing angle combination array corresponding to the entire opening and closing process of the electric mechanism, extract the numerical values of all elements in the opening and closing angle combination array, calculate the difference between the second element and the first element and mark it as the first angle difference; And so on, calculate the difference between the Nth element and the (N - 1)th element and mark it as the (N - 1)th angular difference; N is a positive integer representing the total number of elements. Arrange the first angular difference to the (N - 1)th angular difference in order and combine them to obtain an angular difference array. Obtain the standard angular difference range in the corresponding standard operating parameters of the electric mechanism, and sequentially traverse and match several angular differences in the angular difference array with the standard angular difference range. If the angular difference belongs to the standard angular difference range, generate a normal angular change label. If the angular difference does not belong to the standard angular difference range, generate an abnormal angular change label. Count the total number YB of abnormal angular change labels, and calculate and obtain the smoothness abnormality degree β corresponding to the opening and closing process of the electric mechanism through the formula where α is the smooth design threshold corresponding to the electric mechanism. If the smoothness abnormality degree is not less than zero, generate a normal smoothness label; otherwise, generate an abnormal smoothness label and mark the corresponding electric mechanism and high-voltage switchgear as the third type of selected electric mechanism and the third type of selected high-voltage switchgear respectively.

[0026] In the implementation of the present invention, by recording, processing, and analyzing the real-time opening and closing angles during the opening and closing process of the electric mechanism, it is judged whether the real-time opening and closing process is smooth, realizing the diagnosis and analysis of the operating state of the electric mechanism from the aspect of the smoothness of the opening and closing process, and improving the diversity of the operation diagnosis of the high-voltage switchgear electric mechanism and the diversity of data mining and utilization.

[0027] In addition, the formulas involved above are all calculated by removing the dimension and taking their numerical values, and are obtained by a software through simulating a large amount of data to get a formula closest to the real situation.

[0028] In several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described invention embodiments are merely illustrative. For example, the division of modules is only a logical function division, and there can be other division methods in actual implementation.

[0029] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules. They can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0030] In addition, in each embodiment of the present invention, each functional module can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above integrated module can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0031] For those skilled in the operation and maintenance field, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the operation and maintenance field should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An intelligent high-voltage switch cabinet electric mechanism operation diagnosis system, characterized in that: It includes a basic information monitoring and statistics module for the operation of the mechanism, which is used to implement basic information monitoring and statistics of different aspects of the electric mechanism with different driving modes in the high-voltage switch cabinet, and obtain a monitoring and statistics set containing different basic monitoring information; The mechanism operation completion status analysis module is used to monitor and analyze the process data of different aspects of the electric mechanism in different driving modes during real-time operation, integrate and analyze the process analysis results of different aspects to determine whether the real-time completion status of the corresponding electric mechanism is normal, and implement alarm prompts for the operation completion of the electric mechanism with abnormal completion status; including: When monitoring and analyzing whether the real-time operation completion status of the electric mechanism is normal, the start time point of the electric mechanism starting to run is obtained, the opening and closing angles of the electric mechanism are monitored in real time through the sensor, the values ​​of the real-time opening and closing angles are extracted and sorted and combined to obtain an opening and closing angle combination array; Obtain and analyze the opening and closing duration and the opening and closing angle change value of the electric mechanism to obtain opening and closing duration analysis data consisting of a normal opening and closing duration label or an abnormal opening and closing duration label, and opening and closing angle analysis data consisting of a normal opening and closing angle label or an abnormal opening and closing angle label; The opening and closing duration analysis data and the opening and closing angle analysis data are traversed respectively, and the obtained label values ​​are summed to obtain the label and value and analyze them, so as to obtain the opening and closing completion status analysis data consisting of the opening and closing completion normal label, the opening and closing completion partial abnormal label or the opening and closing completion overall abnormal label, and generate an alarm prompt of the corresponding abnormal degree according to the different abnormal labels in the opening and closing completion status analysis data; The mechanism operation smoothness status analysis module is used to process and analyze the opening and closing angle change data of the electric mechanism in different driving modes during real-time operation, to obtain whether the real-time opening and closing process of the electric mechanism is smooth, and to implement operation smoothness alarm prompts for the electric mechanism with abnormal opening and closing smoothness.

2. According to claim 1, the intelligent high-voltage switch cabinet electric mechanism operation diagnosis system is characterized in that: Acquire the drive modes of different electric mechanisms in the high-voltage switch cabinet, and when digitally processing the drive modes to obtain corresponding drive weights, traverse and match the drive modes with the drive mode weight table pre-stored in the database to obtain corresponding drive weights; The driving mode weight table includes several different driving modes and associated driving weights; Obtaining standard operating parameters corresponding to the electric mechanism according to the driving mode; The driving mode and driving weight of the electric mechanism and the corresponding standard operating parameters constitute the basic monitoring information; the basic monitoring information of all electric mechanisms constitutes a monitoring statistics set and is sent to the database and operation diagnosis platform.

3. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 2 is characterized in that: The standard operating parameters include the standard opening and closing duration range, standard opening and closing angle change value range, standard angle difference range and smooth design threshold value corresponding to the electric mechanism.

4. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 1 is characterized in that: Get the end time point when the electric mechanism stops running, get the corresponding opening and closing duration of the electric mechanism according to the end time point and the start time point, and get the absolute value of the last element value in the opening and closing angle combination array and set it as the opening and closing angle change value.

5. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 4 is characterized in that: When analyzing whether the opening and closing implementation state is normal according to the opening and closing duration and the opening and closing angle change value of the electric mechanism, the opening and closing duration and the opening and closing angle change value are compared with the standard opening and closing duration range and the standard opening and closing angle change value range respectively; If the opening and closing duration is within the standard opening and closing duration range, a normal opening and closing duration label is generated and its associated label value is set to 0; otherwise, an abnormal opening and closing duration label is generated and its associated label value is set to 1; If the opening and closing angle change value belongs to the standard opening and closing angle change value range, a normal opening and closing angle label is generated and its associated label value is set to 0; otherwise, an abnormal opening and closing angle label is generated and its associated label value is set to 1; The normal opening and closing duration label or the abnormal opening and closing duration label constitutes the opening and closing duration analysis data, and the normal opening and closing angle label or the abnormal opening and closing angle label constitutes the opening and closing angle analysis data.

6. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 5 is characterized in that: Determine whether the real-time operating status of the opening and closing behavior of the corresponding electric mechanism is normal according to the opening and closing time analysis data and the opening and closing angle analysis data, respectively traverse the opening and closing time analysis data and the opening and closing angle analysis data and sum the obtained label values ​​to obtain the label and value. If the label and value is 0, a normal opening and closing completion label is generated; If the tag and value are 1, a local abnormal label for the opening and closing completion is generated and the corresponding electric mechanism and high-voltage switchgear are marked as a type of selected electric mechanism and a type of selected high-voltage switchgear respectively; If the label and value are 2, the overall abnormal label of the opening and closing completion is generated and the corresponding electric mechanism and high-voltage switchgear are marked as the second-class selected electric mechanism and the second-class selected high-voltage switchgear respectively.

7. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 6 is characterized in that: According to the opening and closing completion local abnormality label in the opening and closing completion status analysis data, an alarm prompt of opening and closing completion local abnormality is implemented for the first type of selected electric mechanism and the first type of selected high-voltage switchgear, or according to the opening and closing completion overall abnormality label, an alarm prompt of opening and closing completion overall abnormality is implemented for the second type of selected electric mechanism and the second type of selected high-voltage switchgear.

8. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 1 is characterized in that: Obtain the opening and closing angle combination array corresponding to the entire opening and closing process of the electric mechanism, extract the values ​​of all elements in the opening and closing angle combination array, calculate the difference between the second element and the first element and mark it as the first angle difference; Similarly, the difference between the Nth element and the N-1th element is calculated and marked as the N-1th angle difference; N is a positive integer, which is the total number of elements; The first angle difference to the N-1th angle difference are sequentially arranged and combined to obtain an angle difference array.

9. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 8 is characterized in that: Obtaining a standard angle difference range in the standard operating parameters corresponding to the electric mechanism, and traversing and matching a number of angle differences in the angle difference array with the standard angle difference range in sequence; If the angle difference does not fall within the standard angle difference range, an angle change abnormal label is generated; the total number of angle change abnormal labels YB is counted, and the formula The smoothness abnormality β corresponding to the opening and closing process of the electric mechanism is calculated; where α is the smoothness design threshold corresponding to the electric mechanism.

10. The intelligent high-voltage switch cabinet electric mechanism operation diagnosis system according to claim 9 is characterized in that: If the smoothness abnormality is not less than zero, a smoothness normal label is generated; otherwise, a smoothness abnormal label is generated and the corresponding electric mechanism and high-voltage switchgear are marked as three types of selected electric mechanisms and three types of selected high-voltage switchgear respectively.

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