Unit protection method and system based on carbon brush wear signal

Abstract

The invention discloses a unit protection method and system based on a carbon brush wear signal, and the method comprises the steps: obtaining a real-time operation state parameter and a real-time performance index parameter corresponding to a real-time carbon brush wear signal, and generating a real-time state evaluation value of the real-time carbon brush wear signal; determining a carbon brush wear type according to the real-time state evaluation value, and determining a preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal; screening out characteristic factors of the real-time carbon brush wear signals, and inputting the characteristic factors into a preset unit protection control model to obtain a protection control strategy; control is performed according to the protection control strategy, application effect evaluation is performed on the protection control strategy according to the second carbon brush wear signal, the fault rate of a generator system is reduced, and the life cycle and operation reliability of unit spare parts are improved.

Description

Technical Field

[0001] The present application relates to the technical field of carbon brush wear signals, and in particular to a unit protection method and system based on carbon brush wear signals. Background Art

[0002] Carbon brushes play a vital role in the operation of generator sets. They are important tools for transmitting electrical energy between the dynamic and static parts of the generator's rotating machinery. They transmit rectified DC power to the generator rotor, forming a continuous electromagnetic field on the generator rotor, allowing the generator stator coil to cut the magnetic lines of force, thereby generating the required electrical energy on the generator stator.

[0003] In the prior art, by regularly analyzing the carbon brush wear signal and formulating the corresponding unit protection method based on experience, the abnormality of the carbon brush wear signal cannot be discovered in time, and when the carbon brush wear signal is abnormal, it will damage the PLC and unit components, thereby causing large-scale damage to the unit hardware, which not only affects the performance of the fan, but also causes safety hazards. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides a unit protection method and system based on a carbon brush wear signal, by setting up a new carbon brush wear signal feedback loop and obtaining a real-time carbon brush wear signal, generating a real-time status evaluation value of the real-time carbon brush wear signal and determining the carbon brush wear type, and inputting the characteristic factor of the real-time carbon brush wear signal into a preset unit protection control model corresponding to the carbon brush wear type, so as to quickly obtain the unit's protection control strategy, promptly discover the abnormal situation of the carbon brush wear signal, and formulate a reasonable protection control strategy, thereby reducing the failure rate of the generator system and improving the life cycle of unit spare parts and operational reliability.

[0005] In some embodiments of the present application, a unit protection method based on a carbon brush wear signal is provided, which is applied to a novel carbon brush wear signal feedback loop and is characterized in that it includes:

[0006] Acquire the real-time operation state parameter and the real-time performance index parameter corresponding to the real-time carbon brush wear signal, analyze the real-time operation state parameter and the real-time performance index parameter, and generate the real-time state evaluation value of the real-time carbon brush wear signal;

[0007] Determine the carbon brush wear type of the real-time carbon brush wear signal according to the real-time state evaluation value, and determine the preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal;

[0008] Filter out the characteristic factors of the real-time carbon brush wear signal, and input the characteristic factors into the preset unit protection control model to obtain the protection control strategy of the corresponding unit;

[0009] Control is performed according to the protection control strategy, and the application effect of the protection control strategy is evaluated according to the second carbon brush wear signal after a preset period of time. Based on the application effect evaluation result, it is determined whether to modify the protection control strategy.

[0010] In some embodiments of the present application, a separate 24V power supply module is used in series with an intermediate relay, and the intermediate relay is used to make the PLC signal feedback circuit and the carbon brush wear signal circuit independent of each other, and the independent carbon brush wear signal circuit is set as a new carbon brush wear signal feedback loop.

[0011] In some embodiments of the present application, the real-time operating state parameters and the real-time performance index parameters are analyzed to generate a real-time state evaluation value of the real-time carbon brush wear signal, including:

[0012] Obtain real-time carbon brush wear signals and real-time operating status parameters and real-time performance index parameters of the unit at the same time node;

[0013] Compare the real-time operating status parameter with the corresponding preset standard operating status parameter interval to obtain the real-time operating status parameter difference, and compare the real-time performance indicator parameter with the corresponding preset standard performance indicator parameter interval to obtain the real-time performance indicator parameter difference;

[0014] Determine a real-time state evaluation value of a real-time carbon brush wear signal according to a plurality of real-time operating state parameter differences and a real-time performance index parameter difference;

[0015] The calculation formula of the real-time status evaluation value is:

[0016]

[0017] Wherein, M is the real-time status evaluation value, e1 is the first weight coefficient, e2 is the second weight coefficient, n is the number of real-time operation status parameters, △d1i is the difference of the i-th real-time operation status parameter, △d2s is the difference of the s-th real-time performance indicator parameter, and w is the number of real-time performance indicator parameters;

[0018] The carbon brush wear type of the real-time carbon brush wear signal is set according to the relationship between the real-time state evaluation value and the preset state evaluation value interval.

[0019] In some embodiments of the present application, the carbon brush wear type of the real-time carbon brush wear signal is set according to the relationship between the real-time state evaluation value and the preset state evaluation value interval, including:

[0020] Presetting a first preset state evaluation value interval, a second preset state evaluation value interval, a third preset state evaluation value interval and a fourth preset state evaluation value interval;

[0021] When the real-time state evaluation value is within the first preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to a fourth preset type;

[0022] When the real-time state evaluation value is within the second preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to a third preset type;

[0023] When the real-time state evaluation value is within the third preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to the second preset type;

[0024] When the real-time state evaluation value is in the fourth preset state evaluation value interval, the carbon brush wear type of the historical carbon brush wear signal is set to the first preset type.

[0025] In some embodiments of the present application, before determining the preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal, the method further includes:

[0026] Establishing a time reference line for multiple historical unit protection control durations in each carbon brush wear type, and setting a collection time node on the time reference line based on a preset time interval;

[0027] Acquire the characteristic factors of the historical carbon brush wear signal at each acquisition time node on the time reference line, perform change degree analysis on the characteristic factors on the same time reference line, and set the initial time node at which the first change degree of each characteristic factor is greater than a preset first change degree threshold as the first marking node;

[0028] The initial time node when each characteristic factor on the same time reference line is in the corresponding standard wear interval is set as the second marking node, and the change time interval of the corresponding characteristic factor is intercepted according to the first marking node and the second marking node;

[0029] Comprehensively analyze the change time intervals of multiple characteristic factors on the same time reference line to obtain the comprehensive change time interval of the historical carbon brush wear signal corresponding to the time reference line;

[0030] Obtain the historical unit protection control parameters corresponding to the comprehensive change time interval of each time reference line, and screen out the historical characteristic protection control parameters according to the synchronous change relationship between the historical unit protection control parameters and the characteristic factors in the corresponding historical carbon brush wear signal;

[0031] The characteristic factors in the comprehensive change time interval of each time reference line and the historical characteristic protection control parameters are set as a training data group;

[0032] A preset unit protection control model corresponding to each carbon brush wear type is constructed based on multiple training data groups for each carbon brush wear type.

[0033] In some embodiments of the present application, historical characteristic protection control parameters are screened out according to the synchronous change relationship between historical unit protection control parameters and characteristic factors in corresponding historical carbon brush wear signals, including:

[0034] The preset time period adjacent to the first marked node in the comprehensive change time interval is set as the synchronization reference time interval corresponding to the characteristic factor, and the historical unit protection control parameters within the synchronization reference time interval are obtained;

[0035] Calculate the second change degree of the historical unit protection control parameter within the synchronous reference time interval, and set the historical unit protection control parameter whose second change degree within the synchronous reference time interval is greater than a preset second change degree threshold as the pending historical characteristic protection control parameter of the corresponding characteristic factor;

[0036] According to the mapping relationship between the undetermined historical characteristic protection control parameter and the characteristic factor, the number of characteristic factors of each undetermined historical characteristic protection control parameter is determined, and a first ratio is obtained according to the number of characteristic factors and the total number of characteristic factors of the corresponding historical carbon brush wear signal;

[0037] The undetermined historical feature protection control parameter whose first ratio is greater than the preset ratio is set as the historical feature protection control parameter.

[0038] In some embodiments of the present application, characteristic factors of the real-time carbon brush wear signal are screened out, and the characteristic factors are input into a preset unit protection control model to obtain a protection control strategy for the corresponding unit, including:

[0039] Analyze the real-time carbon brush wear signal to obtain relevant wear information contained in the real-time carbon brush wear signal;

[0040] Calculating a first correlation coefficient between the relevant wear information and the unit operation state, and a second correlation coefficient between the relevant wear information and the unit performance index;

[0041] The relevant wear information that the first correlation coefficient is greater than a first preset correlation coefficient threshold and the second correlation coefficient is greater than a second preset correlation coefficient threshold is set as a characteristic factor of the real-time carbon brush wear signal;

[0042] Input the characteristic factor of the real-time carbon brush wear signal into the preset unit protection control model corresponding to the carbon brush wear type to obtain the characteristic protection control parameter;

[0043] According to the characteristic protection control parameters, multiple unit protection control processes are generated in a preset control order, and the protection control strategies of the corresponding units are constructed according to the multiple unit protection control processes.

[0044] In some embodiments of the present application, the application effect of the protection control strategy is evaluated according to the second carbon brush wear signal after a preset period of time, including:

[0045] Acquire a second carbon brush wear signal after a preset period of time, and obtain a characteristic factor of the second carbon brush wear signal;

[0046] Comparing the characteristic factor of the second carbon brush wear signal with the characteristic factor of the real-time carbon brush wear signal, and determining the change rate of each characteristic factor within a preset time period according to the comparison result;

[0047] Determining a plurality of characteristic factor difference amounts of the second carbon brush wear signal according to the characteristic factor of the second carbon brush wear signal and the corresponding preset standard characteristic factor interval;

[0048] Evaluate the application effect of protection control strategy based on the change rate and characteristic factor difference;

[0049] The calculation formula for the application effect evaluation is:

[0050]

[0051] Among them, K is the application effect evaluation value, q is the conversion coefficient, u is the number of characteristic factors of the second carbon brush wear signal, Vc is the change rate of the cth characteristic factor within the preset time period, △Tc is the characteristic factor difference of the cth characteristic factor, and dc is the weight coefficient of the cth characteristic factor.

[0052] In some embodiments of the present application, judging whether to modify the protection control strategy based on the application effect evaluation result includes:

[0053] Pre-set application effect evaluation threshold;

[0054] If the application effect evaluation value is less than the application effect evaluation threshold, the protection control strategy is modified;

[0055] If the application effect evaluation value is greater than the application effect evaluation threshold, the protection control strategy is not modified.

[0056] In some embodiments of the present application, a unit protection system based on a carbon brush wear signal is also included:

[0057] An acquisition module is used to acquire real-time operating state parameters and real-time performance index parameters corresponding to the real-time carbon brush wear signal, analyze the real-time operating state parameters and real-time performance index parameters, and generate a real-time state evaluation value of the real-time carbon brush wear signal;

[0058] A determination module, used to determine the carbon brush wear type of the real-time carbon brush wear signal according to the real-time state evaluation value, and determine a preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal;

[0059] A screening module is used to screen out characteristic factors of real-time carbon brush wear signals and input the characteristic factors into a preset unit protection control model to obtain a protection control strategy for the corresponding unit;

[0060] The control module is used to control according to the protection control strategy, evaluate the application effect of the protection control strategy according to the second carbon brush wear signal after a preset period of time, and determine whether to modify the protection control strategy based on the application effect evaluation result.

[0061] Compared with the prior art, the unit protection method and system based on the carbon brush wear signal in the embodiment of the present application has the following beneficial effects:

[0062] By setting up a new carbon brush wear signal feedback loop and obtaining the real-time carbon brush wear signal, generating a real-time status evaluation value of the real-time carbon brush wear signal and determining the carbon brush wear type, the characteristic factor of the real-time carbon brush wear signal is input into the preset unit protection control model corresponding to the carbon brush wear type, the unit protection control strategy is quickly obtained, the abnormal situation of the carbon brush wear signal is discovered in time, and a reasonable protection control strategy is formulated to reduce the failure rate of the generator system and improve the life cycle of unit spare parts and operational reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a schematic diagram of a unit protection method based on carbon brush wear signal in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0064] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0065] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0066] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0067] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0068] like Figure 1 As shown, a unit protection method based on a carbon brush wear signal in a preferred embodiment of the present application is applied to a new carbon brush wear signal feedback loop, including:

[0069] Step S101: acquiring real-time operating state parameters and real-time performance index parameters corresponding to the real-time carbon brush wear signal, analyzing the real-time operating state parameters and the real-time performance index parameters, and generating a real-time state evaluation value of the real-time carbon brush wear signal;

[0070] Step S102: determining the carbon brush wear type of the real-time carbon brush wear signal according to the real-time state evaluation value, and determining a preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal;

[0071] Step S103: Screening out characteristic factors of the real-time carbon brush wear signal, and inputting the characteristic factors into a preset unit protection control model to obtain a protection control strategy for the corresponding unit;

[0072] Step S104: Control is performed according to the protection control strategy, and the application effect of the protection control strategy is evaluated according to the second carbon brush wear signal after a preset period of time. Based on the application effect evaluation result, it is determined whether to modify the protection control strategy.

[0073] In this embodiment, the carbon brush wear type is set according to the status evaluation value of different carbon brush wear signals, and the characteristic factor refers to the information in the real-time carbon brush wear signal that is associated with the unit operating status and unit performance indicators, such as the length of the carbon brush wear, the degree of carbon brush wear, the wear marks of the carbon brush, and the presence of breaks or cracks on the carbon brush in the real-time carbon brush wear signal.

[0074] In this embodiment, the carbon brush wear signal directly affects the operating state and performance indicators of the unit. Therefore, the state evaluation value of the carbon brush wear signal is obtained according to the unit operating state parameters and performance indicator parameters corresponding to the carbon brush wear signal. The carbon brush wear signal is divided into multiple types according to the state evaluation value, and a preset unit protection control model for each carbon brush wear type is constructed, which lays the foundation for quickly formulating the unit's protection control strategy according to the carbon brush wear type and characteristic factors corresponding to the real-time carbon brush wear signal, improves the timeliness of the unit protection method, and ensures the normal operation of the unit.

[0075] In some embodiments of the present application, a separate 24V power supply module is used in series with an intermediate relay, and the intermediate relay is used to make the PLC signal feedback circuit and the carbon brush wear signal circuit independent of each other, and the independent carbon brush wear signal circuit is set as a new carbon brush wear signal feedback loop.

[0076] In this embodiment, an independent power supply module is used to supply power, which effectively avoids equipment failure and damage to a large number of components, prevents carbon brush wear and damage to the PLC and unit components when the signal line is impacted, and improves the life cycle of unit spare parts.

[0077] In some embodiments of the present application, the real-time operating state parameters and the real-time performance index parameters are analyzed to generate a real-time state evaluation value of the real-time carbon brush wear signal, including:

[0078] Obtain real-time carbon brush wear signals and real-time operating status parameters and real-time performance index parameters of the unit at the same time node;

[0079] Compare the real-time operating status parameter with the corresponding preset standard operating status parameter interval to obtain the real-time operating status parameter difference, and compare the real-time performance indicator parameter with the corresponding preset standard performance indicator parameter interval to obtain the real-time performance indicator parameter difference;

[0080] Determine a real-time state evaluation value of a real-time carbon brush wear signal according to a plurality of real-time operating state parameter differences and a real-time performance index parameter difference;

[0081] The calculation formula of the real-time status evaluation value is:

[0082]

[0083] Wherein, M is the real-time status evaluation value, e1 is the first weight coefficient, e2 is the second weight coefficient, n is the number of real-time operation status parameters, △d1i is the difference of the i-th real-time operation status parameter, △d2s is the difference of the s-th real-time performance indicator parameter, and w is the number of real-time performance indicator parameters;

[0084] The carbon brush wear type of the real-time carbon brush wear signal is set according to the relationship between the real-time state evaluation value and the preset state evaluation value interval.

[0085] In this embodiment, the unit operating status includes odor, abnormal sound, sparks, motor heating, motor vibration, etc. generated when the unit is running, and the unit performance indicators include operating power, unit response time, processing capacity, stability, etc.

[0086] In some embodiments of the present application, the carbon brush wear type of the real-time carbon brush wear signal is set according to the relationship between the real-time state evaluation value and the preset state evaluation value interval, including:

[0087] Presetting a first preset state evaluation value interval, a second preset state evaluation value interval, a third preset state evaluation value interval and a fourth preset state evaluation value interval;

[0088] When the real-time state evaluation value is within the first preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to a fourth preset type;

[0089] When the real-time state evaluation value is within the second preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to a third preset type;

[0090] When the real-time state evaluation value is within the third preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to the second preset type;

[0091] When the real-time state evaluation value is in the fourth preset state evaluation value interval, the carbon brush wear type of the historical carbon brush wear signal is set to the first preset type.

[0092] In this embodiment, the first preset state evaluation value interval is less than the second preset state evaluation value interval is less than the third preset state evaluation value interval is less than the fourth preset state evaluation value interval. When the preset state evaluation value interval in which the real-time state evaluation value is located is larger, it means that the state of the real-time carbon brush wear signal is better. The first preset type is that the carbon brush wear is good, the second preset type is that the carbon brush wear is normal, the third preset type is that the carbon brush wear is abnormal, and the fourth preset type is that the carbon brush wear is severe.

[0093] In this embodiment, historical carbon brush wear signals are classified into types, and historical carbon brush wear signals of the same type and characteristic factors are used to construct a carbon brush wear feature set, thereby laying the foundation for subsequently determining a preset unit control model based on the carbon brush wear type of the real-time carbon brush wear signal, ensuring the timeliness of unit protection, and quickly determining the corresponding unit protection method based on the real-time carbon brush wear signal, thereby improving the life cycle of unit spare parts.

[0094] In some embodiments of the present application, before determining the preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal, the method further includes:

[0095] Establishing a time reference line for multiple historical unit protection control durations in each carbon brush wear type, and setting a collection time node on the time reference line based on a preset time interval;

[0096] Acquire the characteristic factors of the historical carbon brush wear signal at each acquisition time node on the time reference line, perform change degree analysis on the characteristic factors on the same time reference line, and set the initial time node at which the first change degree of each characteristic factor is greater than a preset first change degree threshold as the first marking node;

[0097] The initial time node when each characteristic factor on the same time reference line is in the corresponding standard wear interval is set as the second marking node, and the change time interval of the corresponding characteristic factor is intercepted according to the first marking node and the second marking node;

[0098] Comprehensively analyze the change time intervals of multiple characteristic factors on the same time reference line to obtain the comprehensive change time interval of the historical carbon brush wear signal corresponding to the time reference line;

[0099] Obtain the historical unit protection control parameters corresponding to the comprehensive change time interval of each time reference line, and screen out the historical characteristic protection control parameters according to the synchronous change relationship between the historical unit protection control parameters and the characteristic factors in the corresponding historical carbon brush wear signal;

[0100] The characteristic factors in the comprehensive change time interval of each time reference line and the historical characteristic protection control parameters are set as a training data group;

[0101] A preset unit protection control model corresponding to each carbon brush wear type is constructed based on multiple training data groups for each carbon brush wear type.

[0102] In this embodiment, the historical unit protection control duration refers to the duration of the historical unit protection control strategy corresponding to the historical carbon brush wear signal in each carbon brush wear type. A change curve of the characteristic factor of the corresponding historical carbon brush wear signal is drawn in each time reference line, and the sum of the change time intervals of multiple characteristic factors in the same time reference line is set as the comprehensive change time interval of the corresponding historical carbon brush wear signal. The comprehensive change time interval refers to the time interval in which the historical carbon brush wear signal changes under the corresponding historical unit protection control strategy.

[0103] In this embodiment, the historical unit protection control parameters refer to the control parameters designed in the control strategy for protecting the unit based on the historical carbon brush wear signal after receiving the historical carbon brush wear signal, including replacing the carbon brush, cleaning the surface of the collector ring, reversing the positive and negative cables of the collector ring, and making the center line of the carbon brush contact vertically with the tangent of the corresponding point on the surface of the collector ring.

[0104] In this embodiment, a training data group corresponding to the carbon brush wear type is set according to the characteristic factors within the comprehensive change time interval and the historical characteristic protection control parameters, and a preset unit protection control model corresponding to the carbon brush wear type is constructed according to multiple training data groups to improve the accuracy of the preset unit protection control model, lay the foundation for the subsequent rapid determination of the real-time carbon brush wear signal of the unit protection control strategy, ensure the timeliness of the unit protection, and improve the life cycle of the unit spare parts.

[0105] In some embodiments of the present application, historical characteristic protection control parameters are screened out according to the synchronous change relationship between historical unit protection control parameters and characteristic factors in corresponding historical carbon brush wear signals, including:

[0106] The preset time period adjacent to the first marked node in the comprehensive change time interval is set as the synchronization reference time interval corresponding to the characteristic factor, and the historical unit protection control parameters within the synchronization reference time interval are obtained;

[0107] Calculate the second change degree of the historical unit protection control parameter within the synchronous reference time interval, and set the historical unit protection control parameter whose second change degree within the synchronous reference time interval is greater than a preset second change degree threshold as the pending historical characteristic protection control parameter of the corresponding characteristic factor;

[0108] According to the mapping relationship between the undetermined historical characteristic protection control parameter and the characteristic factor, the number of characteristic factors of each undetermined historical characteristic protection control parameter is determined, and a first ratio is obtained according to the number of characteristic factors and the total number of characteristic factors of the corresponding historical carbon brush wear signal;

[0109] The undetermined historical feature protection control parameter whose first ratio is greater than the preset ratio is set as the historical feature protection control parameter.

[0110] In this embodiment, the preset time period adjacent to the first marking node refers to ten minutes before and after the first marking node. According to the synchronous reference time interval of multiple characteristic factors of the same historical carbon brush wear signal, the analysis results of the degree of change of the historical unit protection control parameters within the synchronous reference time interval are obtained, thereby screening out the historical characteristic protection control parameters.

[0111] In this embodiment, based on the synchronous change relationship between the historical unit protection control parameters and the characteristic factors in the corresponding historical carbon brush wear signal, the historical characteristic protection control parameters are screened out, and a training data group is set according to the characteristic factors in the comprehensive change time interval and the historical characteristic protection control parameters. This lays the foundation for the subsequent construction of a preset unit protection control model for each carbon brush wear type, improves the accuracy of the preset unit protection control model, and improves the life cycle of unit spare parts.

[0112] In some embodiments of the present application, characteristic factors of the real-time carbon brush wear signal are screened out, and the characteristic factors are input into a preset unit protection control model to obtain a protection control strategy for the corresponding unit, including:

[0113] Analyze the real-time carbon brush wear signal to obtain relevant wear information contained in the real-time carbon brush wear signal;

[0114] Calculating a first correlation coefficient between the relevant wear information and the unit operation state, and a second correlation coefficient between the relevant wear information and the unit performance index;

[0115] The relevant wear information that the first correlation coefficient is greater than a first preset correlation coefficient threshold and the second correlation coefficient is greater than a second preset correlation coefficient threshold is set as a characteristic factor of the real-time carbon brush wear signal;

[0116] Input the characteristic factor of the real-time carbon brush wear signal into the preset unit protection control model corresponding to the carbon brush wear type to obtain the characteristic protection control parameter;

[0117] According to the characteristic protection control parameters, multiple unit protection control processes are generated in a preset control order, and the protection control strategies of the corresponding units are constructed according to the multiple unit protection control processes.

[0118] In some embodiments of the present application, the application effect of the protection control strategy is evaluated according to the second carbon brush wear signal after a preset period of time, including:

[0119] Acquire a second carbon brush wear signal after a preset period of time, and obtain a characteristic factor of the second carbon brush wear signal;

[0120] Comparing the characteristic factor of the second carbon brush wear signal with the characteristic factor of the real-time carbon brush wear signal, and determining the change rate of each characteristic factor within a preset time period according to the comparison result;

[0121] Determining a plurality of characteristic factor difference amounts of the second carbon brush wear signal according to the characteristic factor of the second carbon brush wear signal and the corresponding preset standard characteristic factor interval;

[0122] Evaluate the application effect of protection control strategy based on the change rate and characteristic factor difference;

[0123] The calculation formula for the application effect evaluation is:

[0124]

[0125] Among them, K is the application effect evaluation value, q is the conversion coefficient, u is the number of characteristic factors of the second carbon brush wear signal, Vc is the change rate of the cth characteristic factor within the preset time period, △Tc is the characteristic factor difference of the cth characteristic factor, and dc is the weight coefficient of the cth characteristic factor.

[0126] In this embodiment, the rate of change indicates how fast the corresponding characteristic factor changes within a preset time period, and the rate of change can be positive or negative. The specified direction refers to the direction in which the characteristic factor changes to a normal state. When the rate of change is positive, it indicates that the direction of change is the same as the specified direction. When the rate of change is negative, it indicates that the direction of change is opposite to the specified direction.

[0127] In this embodiment, the characteristic factor difference amount = characteristic factor - preset standard characteristic factor interval. When the application effect evaluation value is larger, it means that the application effect of the protection control strategy of the corresponding unit is better, thereby improving the life cycle of the unit spare parts.

[0128] In some embodiments of the present application, judging whether to modify the protection control strategy based on the application effect evaluation result includes:

[0129] Pre-set application effect evaluation threshold;

[0130] If the application effect evaluation value is less than the application effect evaluation threshold, the protection control strategy is modified;

[0131] If the application effect evaluation value is greater than the application effect evaluation threshold, the protection control strategy is not modified.

[0132] In some embodiments of the present application, a unit protection system based on a carbon brush wear signal is also included:

[0133] An acquisition module is used to acquire real-time operating state parameters and real-time performance index parameters corresponding to the real-time carbon brush wear signal, analyze the real-time operating state parameters and real-time performance index parameters, and generate a real-time state evaluation value of the real-time carbon brush wear signal;

[0134] A determination module, used to determine the carbon brush wear type of the real-time carbon brush wear signal according to the real-time state evaluation value, and determine a preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal;

[0135] A screening module is used to screen out characteristic factors of real-time carbon brush wear signals and input the characteristic factors into a preset unit protection control model to obtain a protection control strategy for the corresponding unit;

[0136] The control module is used to control according to the protection control strategy, evaluate the application effect of the protection control strategy according to the second carbon brush wear signal after a preset period of time, and determine whether to modify the protection control strategy based on the application effect evaluation result.

[0137] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A unit protection method based on carbon brush wear signal, applied to a new carbon brush wear signal feedback loop, characterized in that: include: Acquire the real-time operation state parameter and the real-time performance index parameter corresponding to the real-time carbon brush wear signal, analyze the real-time operation state parameter and the real-time performance index parameter, and generate the real-time state evaluation value of the real-time carbon brush wear signal; Determine the carbon brush wear type of the real-time carbon brush wear signal according to the real-time state evaluation value, and determine the preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal; Filter out the characteristic factors of the real-time carbon brush wear signal, and input the characteristic factors into the preset unit protection control model to obtain the protection control strategy of the corresponding unit; Control is performed according to the protection control strategy, and the application effect of the protection control strategy is evaluated according to the second carbon brush wear signal after a preset period of time. Based on the application effect evaluation result, it is determined whether to modify the protection control strategy.

2. The unit protection method based on carbon brush wear signal according to claim 1, characterized in that: A separate 24V power supply module is used in series with an intermediate relay, wherein the intermediate relay is used to make the PLC signal feedback circuit and the carbon brush wear signal circuit independent of each other, and the independent carbon brush wear signal circuit is set as a new carbon brush wear signal feedback loop.

3. The unit protection method based on carbon brush wear signal according to claim 2, characterized in that: Analyze the real-time operating status parameters and real-time performance index parameters to generate real-time status evaluation values ​​of real-time carbon brush wear signals, including: Obtain real-time carbon brush wear signals and real-time operating status parameters and real-time performance index parameters of the unit at the same time node; Compare the real-time operating status parameter with the corresponding preset standard operating status parameter interval to obtain the real-time operating status parameter difference, and compare the real-time performance indicator parameter with the corresponding preset standard performance indicator parameter interval to obtain the real-time performance indicator parameter difference; Determine a real-time state evaluation value of a real-time carbon brush wear signal according to a plurality of real-time operating state parameter differences and a real-time performance index parameter difference; The calculation formula of the real-time status evaluation value is: Wherein, M is the real-time status evaluation value, e1 is the first weight coefficient, e2 is the second weight coefficient, n is the number of real-time operation status parameters, △d1i is the difference of the i-th real-time operation status parameter, △d2s is the difference of the s-th real-time performance indicator parameter, and w is the number of real-time performance indicator parameters; The carbon brush wear type of the real-time carbon brush wear signal is set according to the relationship between the real-time state evaluation value and the preset state evaluation value interval.

4. The unit protection method based on carbon brush wear signal according to claim 3, characterized in that: According to the relationship between the real-time state evaluation value and the preset state evaluation value interval, the carbon brush wear type of the real-time carbon brush wear signal is set, including: Presetting a first preset state evaluation value interval, a second preset state evaluation value interval, a third preset state evaluation value interval and a fourth preset state evaluation value interval; When the real-time state evaluation value is within the first preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to a fourth preset type; When the real-time state evaluation value is within the second preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to a third preset type; When the real-time state evaluation value is within the third preset state evaluation value interval, setting the carbon brush wear type of the historical carbon brush wear signal to the second preset type; When the real-time state evaluation value is in the fourth preset state evaluation value interval, the carbon brush wear type of the historical carbon brush wear signal is set to the first preset type.

5. The unit protection method based on carbon brush wear signal according to claim 4, characterized in that: Based on the carbon brush wear type of the real-time carbon brush wear signal, before determining the preset unit protection control model, it also includes: Establishing a time reference line for multiple historical unit protection control durations in each carbon brush wear type, and setting a collection time node on the time reference line based on a preset time interval; Acquire the characteristic factors of the historical carbon brush wear signal at each acquisition time node on the time reference line, perform change degree analysis on the characteristic factors on the same time reference line, and set the initial time node at which the first change degree of each characteristic factor is greater than a preset first change degree threshold as the first marking node; The initial time node when each characteristic factor on the same time reference line is in the corresponding standard wear interval is set as the second marking node, and the change time interval of the corresponding characteristic factor is intercepted according to the first marking node and the second marking node; Comprehensively analyze the change time intervals of multiple characteristic factors on the same time reference line to obtain the comprehensive change time interval of the historical carbon brush wear signal corresponding to the time reference line; Obtain the historical unit protection control parameters corresponding to the comprehensive change time interval of each time reference line, and screen out the historical characteristic protection control parameters according to the synchronous change relationship between the historical unit protection control parameters and the characteristic factors in the corresponding historical carbon brush wear signal; The characteristic factors in the comprehensive change time interval of each time reference line and the historical characteristic protection control parameters are set as a training data group; A preset unit protection control model corresponding to each carbon brush wear type is constructed based on multiple training data groups for each carbon brush wear type.

6. The unit protection method based on carbon brush wear signal according to claim 5, characterized in that: According to the synchronous change relationship between the historical unit protection control parameters and the characteristic factors in the corresponding historical carbon brush wear signal, the historical characteristic protection control parameters are screened out, including: The preset time period adjacent to the first marked node in the comprehensive change time interval is set as the synchronization reference time interval corresponding to the characteristic factor, and the historical unit protection control parameters within the synchronization reference time interval are obtained; Calculate the second change degree of the historical unit protection control parameter within the synchronous reference time interval, and set the historical unit protection control parameter whose second change degree within the synchronous reference time interval is greater than a preset second change degree threshold as the pending historical characteristic protection control parameter of the corresponding characteristic factor; According to the mapping relationship between the undetermined historical characteristic protection control parameter and the characteristic factor, the number of characteristic factors of each undetermined historical characteristic protection control parameter is determined, and a first ratio is obtained according to the number of characteristic factors and the total number of characteristic factors of the corresponding historical carbon brush wear signal; The undetermined historical feature protection control parameter whose first ratio is greater than the preset ratio is set as the historical feature protection control parameter.

7. The unit protection method based on carbon brush wear signal according to claim 6, characterized in that: The characteristic factors of the real-time carbon brush wear signal are screened out and input into the preset unit protection control model to obtain the corresponding unit protection control strategy, including: Analyze the real-time carbon brush wear signal to obtain relevant wear information contained in the real-time carbon brush wear signal; Calculating a first correlation coefficient between the relevant wear information and the unit operation state, and a second correlation coefficient between the relevant wear information and the unit performance index; The relevant wear information that the first correlation coefficient is greater than a first preset correlation coefficient threshold and the second correlation coefficient is greater than a second preset correlation coefficient threshold is set as a characteristic factor of the real-time carbon brush wear signal; Input the characteristic factor of the real-time carbon brush wear signal into the preset unit protection control model corresponding to the carbon brush wear type to obtain the characteristic protection control parameter; According to the characteristic protection control parameters, multiple unit protection control processes are generated in a preset control order, and the protection control strategies of the corresponding units are constructed according to the multiple unit protection control processes.

8. The unit protection method based on carbon brush wear signal according to claim 7, characterized in that: The application effect of the protection control strategy is evaluated based on the second carbon brush wear signal after the preset period, including: Acquire a second carbon brush wear signal after a preset period of time, and obtain a characteristic factor of the second carbon brush wear signal; Comparing the characteristic factor of the second carbon brush wear signal with the characteristic factor of the real-time carbon brush wear signal, and determining the change rate of each characteristic factor within a preset time period according to the comparison result; Determining a plurality of characteristic factor difference amounts of the second carbon brush wear signal according to the characteristic factor of the second carbon brush wear signal and the corresponding preset standard characteristic factor interval; Evaluate the application effect of protection control strategy based on the change rate and characteristic factor difference; The calculation formula for the application effect evaluation is: Among them, K is the application effect evaluation value, q is the conversion coefficient, u is the number of characteristic factors of the second carbon brush wear signal, Vc is the change rate of the cth characteristic factor within the preset time period, △Tc is the characteristic factor difference of the cth characteristic factor, and dc is the weight coefficient of the cth characteristic factor.

9. The unit protection method based on carbon brush wear signal according to claim 8, characterized in that: Based on the application effect evaluation results, determine whether to modify the protection control strategy, including: Pre-set application effect evaluation threshold; If the application effect evaluation value is less than the application effect evaluation threshold, the protection control strategy is modified; If the application effect evaluation value is greater than the application effect evaluation threshold, the protection control strategy is not modified.

10. A unit protection system based on carbon brush wear signal, characterized in that: include: An acquisition module is used to acquire real-time operating state parameters and real-time performance index parameters corresponding to the real-time carbon brush wear signal, analyze the real-time operating state parameters and real-time performance index parameters, and generate a real-time state evaluation value of the real-time carbon brush wear signal; A determination module, used to determine the carbon brush wear type of the real-time carbon brush wear signal according to the real-time state evaluation value, and determine a preset unit protection control model based on the carbon brush wear type of the real-time carbon brush wear signal; A screening module is used to screen out characteristic factors of real-time carbon brush wear signals and input the characteristic factors into a preset unit protection control model to obtain a protection control strategy for the corresponding unit; The control module is used to control according to the protection control strategy, evaluate the application effect of the protection control strategy according to the second carbon brush wear signal after a preset period of time, and determine whether to modify the protection control strategy based on the application effect evaluation result.

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