CN117148252A - Switch measurement unit and multi-CT interconnection precision self-calibration method - Google Patents
Switch measurement unit and multi-CT interconnection precision self-calibration method Download PDFInfo
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Abstract
The application discloses a precision self-calibration method for interconnection and interworking of a switch measurement unit and a plurality of CT, which comprises the steps of obtaining historical actual input parameters of a switch body and historical acquisition parameters of a corresponding measurement unit; dividing the historical actual input parameters of the switch body and the historical acquisition parameters of the corresponding measuring units to obtain a first parameter set and a second parameter set; constructing a first error parameter model according to the first parameter set, and constructing a second error parameter model according to the second parameter set; acquiring parameters acquired by a current measuring unit and environment information of a current measuring switch; based on the environmental information of the measuring switch, the parameters acquired by the current measuring unit are sent to the corresponding error parameter model to obtain the corresponding error parameters; and accumulating according to the corresponding error parameters and the parameters acquired by the current measurement unit to obtain revised parameters of the current measurement unit. According to the application, by constructing different error parameter models, the measuring unit and the switch body are automatically adapted and calibrated.
Description
Technical Field
The application relates to the technical field of power data processing, in particular to a precision self-calibration method for interconnection and interworking of a switch measuring unit and multiple CT.
Background
The measuring switch is generally divided into two parts, one part is a measuring unit module and the other part is a mechanical body, and the two parts are combined together to form the measuring switch. The measuring unit is mainly responsible for the acquisition and operation of power data, external communication and logic control, and is a core brain of the intelligent measuring switch; the body is mainly a mechanical part for switching on and switching off of the switch and an instantaneous protection unit. The current and voltage data for sampling by the measuring unit are derived from a current transformer and the like in the body, and parameters such as voltage, current, power factor and the like provided by the body are used as the basis for calculating the electric energy by the measuring unit. When the actual market is marked, the measuring unit and the switch body are separately marked, and the measuring unit and the switch body are sourced from different factories, so that the problem that the Current Transformer (CT) parameters and the linearity consistency of the bodies are greatly different exists, and the electric energy metering precision can deviate when the measuring unit is adapted to the bodies of different factories.
Disclosure of Invention
In view of the above problems, an object of the present application is to provide a method for calibrating accuracy of interconnection and interworking between a switch measurement unit and multiple CTs, which can automatically calibrate the switch body and the measurement unit in an adaptive manner.
The application provides a precision self-calibration method for interconnection and interworking of a switch measuring unit and a plurality of CT, which comprises the following steps:
acquiring a historical actual input parameter of the switch body and a historical acquisition parameter of a corresponding measurement unit;
dividing the historical actual input parameters of the switch body and the historical acquisition parameters of the corresponding measuring units to obtain a first parameter set and a second parameter set;
constructing a first error parameter model according to the first parameter set, and constructing a second error parameter model according to the second parameter set;
acquiring parameters acquired by a current measuring unit and environment information of a current measuring switch;
based on the environmental information of the measuring switch, the parameters acquired by the current measuring unit are sent to the corresponding error parameter model to obtain the corresponding error parameters;
and accumulating according to the corresponding error parameters and the parameters acquired by the current measurement unit to obtain revised parameters of the current measurement unit.
In this scheme, after obtaining the actual input parameter of history of switch body and the historical collection parameter of corresponding measurement unit, still include:
marking the historical actual input parameters of the switch body according to the corresponding acquired time nodes to obtain the historical actual input parameters of different time nodes;
marking the historical acquisition parameters of the measuring unit according to the corresponding acquired time nodes to obtain the historical acquisition parameters of different time nodes;
subtracting the historical actual input parameters from the historical acquisition parameters of the same time node to obtain the historical error parameters of the corresponding time node;
judging whether the historical error parameter of the time node is larger than a preset first parameter threshold value, if so, recording a quantity value corresponding to the historical error parameter larger than the preset first parameter threshold value;
judging whether the number value is larger than a preset first number threshold value, if so, triggering connection warning information of the measuring unit and the switch body;
and sending the connection warning information to a preset warning end for prompting.
In this solution, the step of obtaining the first parameter set and the second parameter set specifically includes:
acquiring historical actual input parameters of the switch body and historical environment information corresponding to the historical acquisition parameters of the measuring unit;
extracting characteristic values in the historical environment information;
judging whether the characteristic value in the history environment information is smaller than a preset first threshold value of the corresponding characteristic, if so, sending the history actual input parameters and the history acquisition parameters in the corresponding history environment to a first parameter set for storage;
if not, the historical actual input parameters and the historical acquisition parameters in the corresponding historical environment are sent to a second parameter set for storage.
In this solution, the step of constructing a first error parameter model according to a first parameter set specifically includes:
the historical actual input parameters in the first parameter set are numbered sequentially from small to largeThe corresponding historical acquisition parameters are numbered in sequence to be +.>Then the historical error parameter at the same time node is
Constructing a linear fitting equation according to the difference between the historical acquisition parameters and the historical parameters in the first parameter set, wherein the first equation is thatWherein->For the preset coefficient, ++>The parameter constant is preset;
sequentially bringing the historical acquisition parameters in the first parameter set and the historical error parameters at the same time node into the formula to obtain a preset coefficientAnd a preset parameter constant->A system of equations;
according to preset coefficientAnd a preset parameter constant->Is to determine->And obtaining a first formula, and setting the first formula as an error parameter calculation formula in the first error parameter model.
In this scheme, still include:
sequentially sending the historical actual input parameters in the first parameter set to a first error parameter model to obtain a first calculation error parameter;
obtaining a second error parameter by using the first calculated error parameter and a historical error parameter corresponding to the historical actual input parameter;
dividing the absolute value of the second error parameter by a historical error parameter corresponding to the historical actual input parameter to obtain a first error precision;
when the first error precision is larger than a preset error precision threshold value, the error precision is recorded for inaccurate time; when the first error precision is smaller than or equal to a preset error precision threshold value, recording error precision standard once;
acquiring a secondary value with inaccurate error precision and a secondary value with standard error precision;
dividing the number of times of error precision inaccuracy by the sum of the number of times of error precision inaccuracy and the number of times of error precision standard to obtain the accuracy of calculating the error parameters corresponding to the first error parameter model;
when the accuracy rate of the error parameters calculated by the first error parameter model is greater than or equal to a preset first accuracy rate threshold value, the corresponding first error parameter model is qualified;
when the accuracy of the error parameters calculated by the first error parameter model is smaller than a preset first accuracy threshold, the corresponding first error parameter model is unqualified.
In this scheme, after the corresponding first error parameter model is unqualified, the method further includes:
numbering the historical error parameters according to the numbering sequence of the actual input parameters of the history to obtain the numbering values of the historical error parameters;
extracting adjacent historical error parameters in the historical error parameters, and performing differential calculation to obtain adjacent parameter differences in the historical error parameters;
extracting the largest adjacent parameter difference in the adjacent parameter differences, and determining the serial numbers of the two corresponding historical error parameters according to the largest adjacent parameter difference;
determining the numbers of the two corresponding historical actual input parameters according to the numbers of the two corresponding historical error parameters;
dividing the first parameter set into two first parameter subsets according to the numbers of the corresponding two historical actual input parameters, and respectively constructing a first error parameter sub-model according to the first parameter subsets.
In this scheme, still include:
determining two historical actual input parameters corresponding to the numbers according to the numbers of the two corresponding historical actual input parameters;
average value calculation is carried out on the two historical actual input parameters with the corresponding numbers, and an average value of the two historical actual input parameters is obtained;
and determining the parameter ranges acquired by the current measuring units corresponding to the different first error parameter sub-models according to the average value of the two corresponding historical actual input parameters.
In this solution, the step of constructing the second error parameter model according to the second parameter set specifically includes:
acquiring a characteristic value in the environment information;
normalizing the characteristic values in the environment information to obtain normalized values of corresponding characteristics;
multiplying the normalized value of the feature by a preset feature influence coefficient of the corresponding feature to obtain a coefficient of the corresponding feature influence parameter;
accumulating coefficients of different characteristic influence parameters to obtain coefficients；
Sequentially numbering the historical actual input parameters in the second parameter set asThe corresponding historical acquisition parameters are numbered in sequence to be +.>Then the history error parameter of the node at the same time is +.>
Constructing a linear fitting equation according to the historical acquisition parameters and the historical parameter differences in the second parameter set, wherein the second equation is thatWherein->For the preset coefficient, ++>The parameter constant is preset;
sequentially bringing the historical acquisition parameters in the second parameter set and the historical error parameters at the same time node into the formula to obtain a preset coefficientAnd a preset parameter constant->Is a system of equations of (2);
according to preset coefficientAnd a preset parameter constant->Is to determine->And->Obtaining a second formula, and setting the second formula as an error parameter calculation formula in a second error parameter model;
the environment information comprises the environment information of the current measuring switch and the historical environment information when the measuring switch measures the historical parameters.
In this scheme, still include:
when the characteristic value in the historical environment information is larger than a preset second threshold value of the corresponding characteristic, extracting a time node corresponding to the characteristic value in the historical environment information;
according to the time node corresponding to the characteristic value in the historical environment information, determining the historical actual input parameter and the historical acquisition parameter under the same time node;
according to the historical actual input parameters and the historical acquisition parameters under the same time node, obtaining a historical error parameter corresponding to the characteristic value in the historical environment information, and setting the historical error parameter as a historical second error parameter;
judging whether the historical second error parameter is larger than a preset second parameter threshold value, if so, deleting the historical actual input parameter and the historical acquisition parameter corresponding to the historical second error parameter.
In this scheme, still include:
acquiring the number values of the deleted historical actual input parameters and the deleted historical acquisition parameters in the second parameter set;
acquiring a quantity value before the parameters in the second parameter set are not deleted;
dividing the number value of the deleted historical actual input parameters and the historical acquisition parameters in the second parameter set by the number value before the parameters in the corresponding second parameter set are not deleted to obtain the deleted occupation ratio of the corresponding parameters;
judging whether the deleted duty ratio of the parameter is larger than a preset duty ratio threshold, if so, triggering warning information, and sending the warning information to a preset management end for prompting.
According to the precision self-calibration method for the interconnection and intercommunication of the switch measuring unit and the multiple CT, the measuring unit and the switch body are automatically adapted and calibrated by constructing different error parameter models.
Drawings
FIG. 1 is a flow chart of a method for precision self-calibration of the interconnection of a switch measurement unit and multiple CTs according to the present application;
fig. 2 shows a flow chart of the application for dividing a first parameter set and a second parameter set.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced in other ways than those described herein, and therefore the scope of the present application is not limited to the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a method for precision self-calibration of the interconnection of a switch measurement unit and multiple CTs of the present application.
As shown in fig. 1, the method for self-calibrating precision of interconnection and interworking between a switch measurement unit and multiple CTs disclosed by the present application includes:
s101, acquiring a historical actual input parameter of a switch body and a historical acquisition parameter of a corresponding measurement unit;
s102, dividing the historical actual input parameters of the switch body and the historical acquisition parameters of the corresponding measuring units to obtain a first parameter set and a second parameter set;
s103, constructing a first error parameter model according to the first parameter set, and constructing a second error parameter model according to the second parameter set;
s104, acquiring parameters acquired by a current measuring unit and environment information of the current measuring switch;
s105, based on the environmental information of the measuring switch, the parameters acquired by the current measuring unit are sent to the corresponding error parameter model, and the corresponding error parameters are obtained;
and S106, accumulating according to the corresponding error parameters and the parameters acquired by the current measurement unit to obtain revised parameters of the current measurement unit.
According to the embodiment of the application, the parameters comprise parameters such as current, voltage, CT characteristics and the like, the CT characteristic parameters can be obtained through a preset CT characteristic comprehensive tester, the CT characteristic parameters comprise CT volt-ampere characteristics, CT secondary circuits and the like, the historical actual input parameters of the switch body and the historical acquisition parameters of the corresponding measuring units are firstly divided into a first parameter set and a second parameter set according to the historical environment, a first error parameter model is constructed through the first parameter set, a second error parameter model is constructed through the second parameter set, characteristic values in environmental information of the corresponding measuring switches are extracted, preset first threshold values of the corresponding characteristics are set, and if the characteristic values in the environmental information of the corresponding measuring switches are smaller than the preset first threshold values of the corresponding characteristics, the parameters acquired by the measuring units in the current measuring switches are sent to the first error parameter model to determine the corresponding error parameters; if the characteristic value in the environment information of the corresponding measuring switch is larger than or equal to a preset first threshold value of the corresponding characteristic, the parameter collected by the measuring unit in the current measuring switch is sent to a second error parameter model, and the corresponding error parameter is determined.
According to an embodiment of the present application, after the acquiring the historical actual input parameter of the switch body and the historical acquisition parameter of the corresponding measurement unit, the method further includes:
marking the historical actual input parameters of the switch body according to the corresponding acquired time nodes to obtain the historical actual input parameters of different time nodes;
marking the historical acquisition parameters of the measuring unit according to the corresponding acquired time nodes to obtain the historical acquisition parameters of different time nodes;
subtracting the historical actual input parameters from the historical acquisition parameters of the same time node to obtain the historical error parameters of the corresponding time node;
judging whether the historical error parameter of the time node is larger than a preset first parameter threshold value, if so, recording a quantity value corresponding to the historical error parameter larger than the preset first parameter threshold value;
judging whether the number value is larger than a preset first number threshold value, if so, triggering connection warning information of the measuring unit and the switch body;
and sending the connection warning information to a preset warning end for prompting.
When the historical error parameter between the historical actual input parameter of the equivalent switch body and the historical acquisition parameter of the measuring unit is larger than a preset first parameter threshold, the corresponding historical error parameter is described as abnormal, the quantity value of the corresponding historical error parameter larger than the preset first parameter threshold is recorded, wherein if the quantity value of the historical error parameter larger than the preset first parameter threshold is smaller than or equal to the preset first quantity threshold, the abnormal historical error parameter is described as accidental phenomenon or parameter acquisition error and the like; if the number value of the historical error parameter larger than the preset first parameter threshold value is larger than the preset first parameter threshold value, the condition that the connection between the measuring unit and the switch body has faults or connection errors and the like is indicated, and therefore connection warning information of the measuring unit and the switch body is triggered.
Fig. 2 shows a flow chart of the application for dividing a first parameter set and a second parameter set.
As shown in fig. 2, the step of obtaining the first parameter set and the second parameter set according to the embodiment of the present application specifically includes:
s201, acquiring historical actual input parameters of a switch body and historical environment information corresponding to historical acquisition parameters of a measurement unit;
s202, extracting characteristic values in historical environment information;
s203, judging whether the characteristic value in the history environment information is smaller than a preset first threshold value of the corresponding characteristic, if so, sending the history actual input parameters and the history acquisition parameters in the corresponding history environment to a first parameter set for storage;
s204, if not, the corresponding historical actual input parameters and the historical acquisition parameters in the historical environment are sent to a second parameter set for storage.
It should be noted that, the historical environment information includes noise, strong light, electromagnetic interference, etc., the characteristic value in the historical environment information is a value corresponding to a factor in the historical environment information, for example, the factor is noise, the corresponding characteristic value is noise amount, and the preset first threshold value of the corresponding characteristic is a noise limiting value.
According to an embodiment of the present application, the step of constructing a first error parameter model according to a first parameter set specifically includes:
the historical actual input parameters in the first parameter set are numbered sequentially from small to largeThe corresponding historical acquisition parameters are numbered in sequence to be +.>Then the historical error parameter at the same time node is
Constructing a linear fitting equation according to the difference between the historical acquisition parameters and the historical parameters in the first parameter set, wherein the first equation is thatWherein->For the preset coefficient, ++>The parameter constant is preset;
sequentially bringing the historical acquisition parameters in the first parameter set and the historical error parameters at the same time node into the formula to obtain a preset coefficientAnd a preset parameter constant->A system of equations;
according to preset coefficientAnd a preset parameter constant->Is to determine->And->And obtaining a first formula, and setting the first formula as an error parameter calculation formula in the first error parameter model.
It should be noted that, in this embodiment, according to the minimum value and 0 of the mean square error in the linear fitting equation, the corresponding preset coefficient is determinedThe formula of (2) satisfies->Preset parameter constant->The formula of (2) satisfies->Wherein->Representing the magnitude of the historical actual input parameters in the first parameter set.
According to an embodiment of the present application, further comprising:
sequentially sending the historical actual input parameters in the first parameter set to a first error parameter model to obtain a first calculation error parameter;
obtaining a second error parameter by using the first calculated error parameter and a historical error parameter corresponding to the historical actual input parameter;
dividing the absolute value of the second error parameter by a historical error parameter corresponding to the historical actual input parameter to obtain a first error precision;
when the first error precision is larger than a preset error precision threshold value, the error precision is recorded for inaccurate time; when the first error precision is smaller than or equal to a preset error precision threshold value, recording error precision standard once;
acquiring a secondary value with inaccurate error precision and a secondary value with standard error precision;
dividing the number of times of error precision inaccuracy by the sum of the number of times of error precision inaccuracy and the number of times of error precision standard to obtain the accuracy of calculating the error parameters corresponding to the first error parameter model;
when the accuracy rate of the error parameters calculated by the first error parameter model is greater than or equal to a preset first accuracy rate threshold value, the corresponding first error parameter model is qualified;
when the accuracy of the error parameters calculated by the first error parameter model is smaller than a preset first accuracy threshold, the corresponding first error parameter model is unqualified.
It should be noted that, after the first error parameter model is formed, the first formulas in the first error parameter model are verified one by one according to the parameters in the first parameter set, for example, the preset accuracy threshold is 98%, and when the accuracy of the error parameter calculated by the first error parameter model is less than 98%, the corresponding first formulas are failed, that is, the first error parameter model is failed, and the preset error accuracy threshold and the preset first accuracy threshold are set by a person skilled in the art, for example, the preset error accuracy threshold is set to be 0.5S level.
According to an embodiment of the present application, after the corresponding first error parameter model is failed, the method further includes:
numbering the historical error parameters according to the numbering sequence of the actual input parameters of the history to obtain the numbering values of the historical error parameters;
extracting adjacent historical error parameters in the historical error parameters, and performing differential calculation to obtain adjacent parameter differences in the historical error parameters;
extracting the largest adjacent parameter difference in the adjacent parameter differences, and determining the serial numbers of the two corresponding historical error parameters according to the largest adjacent parameter difference;
determining the numbers of the two corresponding historical actual input parameters according to the numbers of the two corresponding historical error parameters;
dividing the first parameter set into two first parameter subsets according to the numbers of the corresponding two historical actual input parameters, and respectively constructing a first error parameter sub-model according to the first parameter subsets.
It should be noted that if the first error parameter model is unqualified, the numbers of the corresponding two historical actual input parameters are found according to the numbers of the two historical error parameters corresponding to the largest adjacent parameter difference, the parameters in the first parameter set are divided into two first parameter subsets according to the numbers of the corresponding two historical actual input parameters, wherein the historical parameters corresponding to the numbers smaller than the numbers of the corresponding two historical actual input parameters and the smaller numbers of the corresponding two historical actual input parameters are divided into one first parameter subset, for example, the numbers of the corresponding two historical actual input parameters areWill number->Less than number->A first parameter subset is constructed of the historic actual input parameters of (a) and the number +.>And greater than number->A first subset of parameters is constructed of the historical actual input parameters of (a), while the corresponding numbered historical acquisition parameters are sent to the corresponding first subset of parameters.
According to an embodiment of the present application, further comprising:
determining two historical actual input parameters corresponding to the numbers according to the numbers of the two corresponding historical actual input parameters;
average value calculation is carried out on the two historical actual input parameters with the corresponding numbers, and an average value of the two historical actual input parameters is obtained;
and determining the parameter ranges acquired by the current measuring units corresponding to the different first error parameter sub-models according to the average value of the two corresponding historical actual input parameters.
For example, the corresponding two historical actual input parameters are numberedAnd->Will correspond toAnd->The average value of (2) is set to>The parameters collected by the current measuring unit are greater than +.>When the current measurement unit collects parameters, the parameters are sent to +.>Performing error parameter calculation on the first parameter subset; if the parameters collected by the current measurement unit are less than +.>When the current measurement unit collects parameters, the parameters are sent to +.>And performing error parameter calculation on the first parameter subset.
According to an embodiment of the present application, the step of constructing a second error parameter model according to the second parameter set specifically includes:
acquiring a characteristic value in the environment information;
normalizing the characteristic values in the environment information to obtain normalized values of corresponding characteristics;
multiplying the normalized value of the feature by a preset feature influence coefficient of the corresponding feature to obtain a coefficient of the corresponding feature influence parameter;
accumulating coefficients of different characteristic influence parameters to obtain coefficientsSequentially numbering the historical actual input parameters in the second parameter set to be +.>The corresponding historical acquisition parameters are numbered in sequence to be +.>Then the history error parameter of the node at the same time is +.>
Constructing a linear fitting equation according to the historical acquisition parameters and the historical parameter differences in the second parameter set, wherein the second equation is thatWherein->For the preset coefficient, ++>The parameter constant is preset;
sequentially bringing the historical acquisition parameters in the second parameter set and the historical error parameters at the same time node into the formula to obtain a preset coefficientAnd a preset parameter constant->Is a system of equations of (2);
according to preset coefficientAnd a preset parameter constant->Is to determine->And->Obtaining a second formula, and setting the second formula as an error parameter calculation formula in a second error parameter model;
the environment information comprises the environment information of the current measuring switch and the historical environment information when the measuring switch measures the historical parameters.
It should be noted that, in this embodiment, according to the minimum value and 0 of the mean square error in the linear fitting equation, the corresponding preset coefficient is determinedThe formula of (2) satisfies->Preset parameter constant->The formula of (2) satisfies->Wherein->The number value representing the historical actual input parameters in the first parameter set, wherein the environmental information comprises the environmental information of the current measuring switch and the historical environmental information when the measuring switch measures the historical parameters, and when solving the preset coefficient +.>When (1) corresponding to->Calculating through characteristic values in historical environment information, wherein if error parameters are calculated through a second error parameter model, the characteristic values in the corresponding environment information are the characteristic values in the environment information where the current measuring switch is located, and the corresponding environment information is corresponding to +.>And calculating through the characteristic value in the environment information of the current measuring switch.
According to an embodiment of the present application, further comprising: when the characteristic value in the historical environment information is larger than a preset second threshold value of the corresponding characteristic, extracting a time node corresponding to the characteristic value in the historical environment information;
according to the time node corresponding to the characteristic value in the historical environment information, determining the historical actual input parameter and the historical acquisition parameter under the same time node;
according to the historical actual input parameters and the historical acquisition parameters under the same time node, obtaining a historical error parameter corresponding to the characteristic value in the historical environment information, and setting the historical error parameter as a historical second error parameter;
judging whether the historical second error parameter is larger than a preset second parameter threshold value, if so, deleting the historical actual input parameter and the historical acquisition parameter corresponding to the historical second error parameter.
It should be noted that, when the characteristic value in the historical environment information is greater than the preset second threshold value of the corresponding feature, it is indicated that the current historical environment information may have a relatively large influence on the operation of the measurement switch, such as strong electromagnetic interference, strong vibration and the like between sudden situations, and when the characteristic value in the historical environment information is greater than the preset second threshold value of the corresponding feature, if the corresponding historical second error parameter is greater than the preset second parameter threshold value, it is indicated that the measurement switch cannot normally operate in the corresponding historical environment, so that the historical actual input parameter and the historical acquisition parameter corresponding to the corresponding historical second error parameter are deleted, so as to improve the accuracy of constructing the second error parameter model.
According to an embodiment of the present application, further comprising:
acquiring the number values of the deleted historical actual input parameters and the deleted historical acquisition parameters in the second parameter set;
acquiring a quantity value before the parameters in the second parameter set are not deleted;
dividing the number value of the deleted historical actual input parameters and the historical acquisition parameters in the second parameter set by the number value before the parameters in the corresponding second parameter set are not deleted to obtain the deleted occupation ratio of the corresponding parameters;
judging whether the deleted duty ratio of the parameter is larger than a preset duty ratio threshold, if so, triggering warning information, and sending the warning information to a preset management end for prompting.
It should be noted that, when the ratio of the deleted historical actual input parameter to the historical collection parameter in the second parameter set is greater than the preset ratio threshold, it is indicated that the current switch is operated in an abnormal environment for a long period, where the abnormal environment is an environment with a characteristic value greater than the preset second threshold of the corresponding characteristic, including a historical environment, and the preset ratio threshold is set by a person skilled in the art, for example, 5%, and when the warning information is triggered, it is indicated that the environment where the current measurement switch is located has a problem, and the environment where the current measurement switch is located needs to be changed.
The application discloses a precision self-calibration method for interconnection and interworking of a switch measurement unit and a plurality of CT, which comprises the steps of obtaining historical actual input parameters of a switch body and historical acquisition parameters of a corresponding measurement unit; dividing the historical actual input parameters of the switch body and the historical acquisition parameters of the corresponding measuring units to obtain a first parameter set and a second parameter set; constructing a first error parameter model according to the first parameter set, and constructing a second error parameter model according to the second parameter set; acquiring parameters acquired by a current measuring unit and environment information of a current measuring switch; based on the environmental information of the measuring switch, the parameters acquired by the current measuring unit are sent to the corresponding error parameter model to obtain the corresponding error parameters; and accumulating according to the corresponding error parameters and the parameters acquired by the current measurement unit to obtain revised parameters of the current measurement unit. According to the application, by constructing different error parameter models, the measuring unit and the switch body are automatically adapted and calibrated.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present application may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. A precision self-calibration method for interconnection and interworking of a switch measuring unit and a plurality of CT is characterized by comprising the following steps:
acquiring a historical actual input parameter of the switch body and a historical acquisition parameter of a corresponding measurement unit;
dividing the historical actual input parameters of the switch body and the historical acquisition parameters of the corresponding measuring units to obtain a first parameter set and a second parameter set;
constructing a first error parameter model according to the first parameter set, and constructing a second error parameter model according to the second parameter set;
acquiring parameters acquired by a current measuring unit and environment information of a current measuring switch;
based on the environmental information of the measuring switch, the parameters acquired by the current measuring unit are sent to the corresponding error parameter model to obtain the corresponding error parameters;
and accumulating according to the corresponding error parameters and the parameters acquired by the current measurement unit to obtain revised parameters of the current measurement unit.
2. The method for calibrating precision of interconnection and interworking between a switch measurement unit and a plurality of CTs according to claim 1, wherein after obtaining the historical actual input parameters of the switch body and the historical acquisition parameters of the corresponding measurement unit, the method further comprises:
marking the historical actual input parameters of the switch body according to the corresponding acquired time nodes to obtain the historical actual input parameters of different time nodes;
marking the historical acquisition parameters of the measuring unit according to the corresponding acquired time nodes to obtain the historical acquisition parameters of different time nodes;
subtracting the historical actual input parameters from the historical acquisition parameters of the same time node to obtain the historical error parameters of the corresponding time node;
judging whether the historical error parameter of the time node is larger than a preset first parameter threshold value, if so, recording a quantity value corresponding to the historical error parameter larger than the preset first parameter threshold value;
judging whether the number value is larger than a preset first number threshold value, if so, triggering connection warning information of the measuring unit and the switch body;
and sending the connection warning information to a preset warning end for prompting.
3. The method for calibrating precision of interconnection and interworking between a switch measurement unit and a plurality of CTs according to claim 1, wherein the step of obtaining a first parameter set and a second parameter set specifically comprises:
acquiring historical actual input parameters of the switch body and historical environment information corresponding to the historical acquisition parameters of the measuring unit;
extracting characteristic values in the historical environment information;
judging whether the characteristic value in the history environment information is smaller than a preset first threshold value of the corresponding characteristic, if so, sending the history actual input parameters and the history acquisition parameters in the corresponding history environment to a first parameter set for storage;
if not, the historical actual input parameters and the historical acquisition parameters in the corresponding historical environment are sent to a second parameter set for storage.
4. The method for self-calibration of precision of interconnection and interworking between a switch measurement unit and multiple CTs according to claim 1, wherein the step of constructing a first error parameter model according to a first parameter set specifically includes:
the historical actual input parameters in the first parameter set are numbered sequentially from small to largeThe corresponding historical acquisition parameters are numbered in sequence to be +.>Then the history error parameter of the node at the same time is +.>The method comprises the steps of carrying out a first treatment on the surface of the Constructing a linear fitting equation according to the difference between the historical acquisition parameters and the historical parameters in the first parameter set, wherein the first equation is thatWherein->For the preset coefficient, ++>The parameter constant is preset;
sequentially bringing the historical acquisition parameters in the first parameter set and the historical error parameters at the same time node into the formula to obtain a preset coefficientAnd a preset parameter constant->A system of equations;
according to preset coefficientAnd a preset parameter constant->Is to determine->And->And obtaining a first formula, and setting the first formula as an error parameter calculation formula in the first error parameter model.
5. The method for precision self-calibration of interconnection and interworking between a switching measurement unit and multiple CTs of claim 4, further comprising:
sequentially sending the historical actual input parameters in the first parameter set to a first error parameter model to obtain a first calculation error parameter;
obtaining a second error parameter by using the first calculated error parameter and a historical error parameter corresponding to the historical actual input parameter;
dividing the absolute value of the second error parameter by a historical error parameter corresponding to the historical actual input parameter to obtain a first error precision;
when the first error precision is larger than a preset error precision threshold value, the error precision is recorded for inaccurate time; when the first error precision is smaller than or equal to a preset error precision threshold value, recording error precision standard once;
acquiring a secondary value with inaccurate error precision and a secondary value with standard error precision;
dividing the number of times of error precision inaccuracy by the sum of the number of times of error precision inaccuracy and the number of times of error precision standard to obtain the accuracy of calculating the error parameters corresponding to the first error parameter model;
when the accuracy rate of the error parameters calculated by the first error parameter model is greater than or equal to a preset first accuracy rate threshold value, the corresponding first error parameter model is qualified;
when the accuracy of the error parameters calculated by the first error parameter model is smaller than a preset first accuracy threshold, the corresponding first error parameter model is unqualified.
6. The method for calibrating accuracy of interconnection and interworking between a switch measurement unit and multiple CTs according to claim 5, wherein after the corresponding first error parameter model is failed, further comprising:
numbering the historical error parameters according to the numbering sequence of the actual input parameters of the history to obtain the numbering values of the historical error parameters;
extracting adjacent historical error parameters in the historical error parameters, and performing differential calculation to obtain adjacent parameter differences in the historical error parameters;
extracting the largest adjacent parameter difference in the adjacent parameter differences, and determining the serial numbers of the two corresponding historical error parameters according to the largest adjacent parameter difference;
determining the numbers of the two corresponding historical actual input parameters according to the numbers of the two corresponding historical error parameters;
dividing the first parameter set into two first parameter subsets according to the numbers of the corresponding two historical actual input parameters, and respectively constructing a first error parameter sub-model according to the first parameter subsets.
7. The method for precision self-calibration of interconnection and interworking between a switching measurement unit and multiple CTs of claim 6, further comprising:
determining two historical actual input parameters corresponding to the numbers according to the numbers of the two corresponding historical actual input parameters;
average value calculation is carried out on the two historical actual input parameters with the corresponding numbers, and an average value of the two historical actual input parameters is obtained;
and determining the parameter ranges acquired by the current measuring units corresponding to the different first error parameter sub-models according to the average value of the two corresponding historical actual input parameters.
8. The method for precision self-calibration of interconnection and interworking between a switch measurement unit and multiple CTs according to claim 1, wherein the step of constructing a second error parameter model according to a second parameter set specifically includes:
acquiring a characteristic value in the environment information;
normalizing the characteristic values in the environment information to obtain normalized values of corresponding characteristics;
multiplying the normalized value of the feature by a preset feature influence coefficient of the corresponding feature to obtain a coefficient of the corresponding feature influence parameter;
accumulating coefficients of different characteristic influence parameters to obtain coefficients；
Sequentially numbering the historical actual input parameters in the second parameter set asThe corresponding historical acquisition parameters are numbered in sequence to be +.>Then the history error parameter of the node at the same time is +.>The method comprises the steps of carrying out a first treatment on the surface of the Constructing a linear fitting equation according to the historical acquisition parameters and the historical parameter differences in the second parameter set, wherein the second equation is thatWherein->For the preset coefficient, ++>The parameter constant is preset; combining the historical acquisition parameters in the second parameter set with the history of nodes at the same timeThe error parameters are sequentially brought into the formula to obtain preset coefficientsAnd a preset parameter constant->Is a system of equations of (2);
according to preset coefficientAnd a preset parameter constant->Is to determine->Obtaining a second formula, and setting the second formula as an error parameter calculation formula in a second error parameter model;
the environment information comprises the environment information of the current measuring switch and the historical environment information when the measuring switch measures the historical parameters.
9. The method for precision self-calibration of interconnection and interworking between a switching measurement unit and a plurality of CTs according to claim 8, further comprising:
when the characteristic value in the historical environment information is larger than a preset second threshold value of the corresponding characteristic, extracting a time node corresponding to the characteristic value in the historical environment information;
according to the time node corresponding to the characteristic value in the historical environment information, determining the historical actual input parameter and the historical acquisition parameter under the same time node;
according to the historical actual input parameters and the historical acquisition parameters under the same time node, obtaining a historical error parameter corresponding to the characteristic value in the historical environment information, and setting the historical error parameter as a historical second error parameter;
judging whether the historical second error parameter is larger than a preset second parameter threshold value, if so, deleting the historical actual input parameter and the historical acquisition parameter corresponding to the historical second error parameter.
10. The method for precision self-calibration of interconnection and interworking between a switching measurement unit and a plurality of CTs according to claim 9, further comprising:
acquiring the number values of the deleted historical actual input parameters and the deleted historical acquisition parameters in the second parameter set;
acquiring a quantity value before the parameters in the second parameter set are not deleted;
dividing the number value of the deleted historical actual input parameters and the historical acquisition parameters in the second parameter set by the number value before the parameters in the corresponding second parameter set are not deleted to obtain the deleted occupation ratio of the corresponding parameters;
judging whether the deleted duty ratio of the parameter is larger than a preset duty ratio threshold, if so, triggering warning information, and sending the warning information to a preset management end for prompting.
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