CN117368832A - Method for automatically calibrating power acquisition data - Google Patents
Method for automatically calibrating power acquisition data Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
Abstract
The invention discloses a method for automatically calibrating electric power acquisition data, and relates to the technical field of information automation. The method comprises the following steps: step S1: the computer is used for controlling the output signal of the standard source and then sending the calibration information of the related quantity to the calibrated equipment by utilizing the communication functions of the computer, the standard source and the calibrated unit; step S2: after the calibrated unit finishes calibration, sending the verification success information to a computer, and controlling the computer to calibrate the next item, wherein the calibration process is processed for a plurality of times by the calibrated unit according to the data error detected by the chip; step S3: the self-checking module is used for assisting in calibration, a method for self-calibrating various electric quantity parameters according to data model calculation is provided by using a communication means, and a calibration algorithm is embedded into a chip, so that a calibration process is rapidly realized.
Description
Technical Field
The invention relates to the technical field of information automation, in particular to a method for automatically calibrating electric power acquisition data.
Background
Publication number CN205211147U discloses a power concentrator and a system for transmitting power data. Wherein the concentrator comprises: the acquisition end is used for acquiring the power data sent by at least one acquisition terminal; the communication module is in communication relation with the acquisition end and is used for transmitting the electric power data to the electric power master station, wherein the communication module at least comprises the following communication equipment: private network wireless transceiver module, power broadband carrier module and wifi module. Solves the technical problems of low communication efficiency caused by single communication mode of the traditional concentrator,
the internal metering chip has certain defects, and at present, each device is calibrated one by one in a manual mode in the production process of the internal metering chip, such as voltage, current, active power, reactive power, phase angle, active electric quantity, reactive electric quantity, power factor, frequency and the like of each phase. The efficiency is low, and the consistency of the calibrated product is difficult to ensure.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for automatically calibrating electric power acquisition data, and solves the problems proposed by the background technology.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method of automatically calibrating power harvesting data, comprising the steps of:
step S1: the computer is used for controlling the output signal of the standard source and then sending the calibration information of the related quantity to the calibrated equipment by utilizing the communication functions of the computer, the standard source and the calibrated unit;
step S2: after the calibrated unit finishes calibration, sending the verification success information to a computer, and controlling the computer to calibrate the next item, wherein the calibration process is processed for a plurality of times by the calibrated unit according to the data error detected by the chip;
step S3: and utilizing a self-checking module to assist in calibration.
Preferably, the step S1 includes: voltage calibration: A. b, C three-phase voltage effective value calibration: calculating relative error by using the collected A, B, C voltage effective value,
U’gain= (Ur-Uxrms)/Ur，
Ux’gain>=0， Uxgain = Ux’gain * 32768；
Ux’gain<0， Uxgain = Ux’gain * 32768 + 65536；
relative error of x phase of Ux' gain; uxgain, x-phase voltage effective value calibration coefficient; x-A/B/C phase;
writing the Uxgain value obtained by the first calculation into an MCU voltage storage unit to store starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: uxgain (n) =Uxgain (n-1) +Ux' gain 10, the obtained value is written into the voltage storage unit for storage and then starts measurement, the measured unit is automatically completed until the design requirement is met, and a calibration voltage x success signal is sent to the calibration computer;
wherein 32768 and 65536 are both coefficient factors.
Preferably, the step S1 includes: current calibration: A. b, C three-phase current effective value calibration: calculating relative error by using the collected A, B, C current effective value,
I’gain= (Ir-Ixrms/N)/Ir，
Ix’gain>=0， Ixgain = Ix’gain * 32768；
Ix’gain<0， Ixgain = Ix’gain * 32768 + 65536；
ix' gain: x phase relative error; ixgain, the effective value calibration coefficient of the x-phase current; x-A/B/C phase;
N-60/Ib; ib-limit current value;
writing the Ixgain value obtained by the first calculation into an MCU current storage unit to save starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: ixgain (n) =Ixgain (n-1) +Ix' gain 10, the measurement is started after the obtained value write current storage unit is stored, the measured unit is automatically completed until the design requirement is met, and a calibration current x success signal is sent to the calibration computer.
Preferably, the step S1 includes: phase calibration: A. b, C the three-phase current is rated, the power factor is 0.5,
Axgain’= -(Pfr-Pxrel/Sxrel)/ (Pxrel/Sxrel)/1.732，
Ax’gain>=0， Axgain = Ax’*32768；
Ax’gain<0， Axgain = 65536+Ax’*32768；
ax' gain: x phase relative error; axgain, the effective value calibration coefficient of the x phase; x-A/B/C phase;
writing the Axgain value obtained by the first calculation into an MCU phase storage unit to save starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: axgain (n) =Axgain (n-1) +sign (Ax' gain), the obtained value is written into the phase storage unit for storage, then the next measurement is started, the unit to be measured is automatically completed until the design requirement is met, and a calibration phase x success signal is sent to the calibration computer;
wherein 32768 and 65536 are coefficient factors, and 1.732 is a parameter.
Preferably, the self-checking module in step S3 includes:
the association module is used for acquiring end nodes of the power grid to-be-detected area, and counting power lines and logic sequences and spatial relations thereof based on the end nodes;
a location point module for creating a power transmission model according to the logical order and the spatial relationship, and determining location points containing type marks based on the power transmission model;
different types of marks contain corresponding mapping values;
the data acquisition module is used for installing a monitoring instrument at the position point and acquiring power data in real time by the monitoring instrument;
and the data verification module is used for verifying the collected power data based on the type mark, and uploading the power data to the storage end when the verification passes.
Preferably, the data accuracy of the standard source is an order of magnitude better than that of the device being calibrated-the intelligent electricity acquisition device.
Preferably, the association module includes: the target point determining unit is used for acquiring equipment distribution information of the power grid to-be-detected area and determining a target point according to the equipment distribution information;
the control unit is used for traversing the target point and acquiring the power supply direction of the power line connected with the target point;
a selecting unit for selecting an end node from the target points according to the power supply direction; the statistical processing unit is used for counting the power lines based on the end nodes and determining the logic sequence and the spatial relationship between the power lines according to the relationship between the power lines and the end nodes;
the logic sequence is used for representing the influence degree between the power lines, and the spatial relationship is used for representing the spatial position relationship of the power lines.
Preferably, the association module further includes: the model creation unit is used for creating a circuit model according to the logic sequence; wherein each line segment in the circuit model contains a number;
the model selecting unit is used for selecting a target model from the circuit models according to the spatial position relation to serve as a power transmission model;
the point position determining unit is used for determining position points on each line segment in the power transmission model based on preset frequency;
the type marking unit is used for acquiring current data of the end node, determining predicted current of each position point according to the current data and the logic sequence, and marking the type of the position point according to the predicted current; the mapping value of the type mark is determined by the predicted current;
the data acquisition module comprises: the instrument selection unit is used for selecting the monitoring instrument according to the mapping value at the position point;
the parameter marking unit is used for carrying out parameter calibration on the monitoring instrument; the calibrated parameters are used for adjusting the data acquisition frequency of the power data;
the acquisition execution unit is used for acquiring the electric power data in real time according to the monitoring instrument after parameter calibration;
specifically, the detection of real-time power data extraction comprises standard waveform characteristic values of a power loop, and three groups of characteristic values are respectively: standard waveform characteristic values of a current control loop, standard waveform characteristic values of a voltage control loop and standard waveform characteristic values of a power control loop;
t12: start time, T25: monitoring the time when the auxiliary contact of the instrument is opened, imax: the maximum value of the current of the control loop of the monitoring instrument is extracted from T12, T25 and Imax of the current, voltage and power loops of the monitoring instrument, the reference value of the monitoring instrument is selected from a mode library, and the reference value of the monitoring instrument are compared to judge the state of the acquisition execution unit, so that the defects are as follows:
a) The time T1-T2 is more than 10% of the reference value, and the defects of aging, jamming and the like of the coil exist in the wiring of the monitoring instrument;
b) The time T2-T5 is more than 10% of the reference value, and the internal resistance defect of the instrument is monitored;
c) The current peak value is more than 10% of the reference value, and turn-to-turn breakdown exists in the internal coil of the monitoring instrument;
d) The control loop of the monitoring instrument with zero current is open;
e) The current is larger than a reference value and the switching-on/switching-off control loop of the constant monitoring instrument is short-circuited;
the severity of the defect of the monitoring instrument can be judged by calculating the characteristic value variation rate of the current waveform of the monitoring instrument, and the variation rate of all characteristic values is taken as a criterion under the general condition, and the method is as follows:
，
，
，
；
，
，
，
；
，
，
，
；
alpha is the characteristic value variation rate of the current waveform of the monitoring instrument, beta is the characteristic value variation rate of the current waveform of the monitoring instrument, and gamma is the characteristic value variation rate of the power waveform of the monitoring instrument;
a) When the variation rates alpha, beta and gamma of all the characteristic values are less than or equal to 10%, the monitoring instrument is in a normal state;
b) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 10% and less than or equal to 20%, the monitoring instrument is in an attention state;
c) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 20% and less than or equal to 30%, the monitoring instrument is in an abnormal state;
b) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 30% and less than or equal to 40%, the monitoring instrument is in a serious state.
Preferably, when voltage/current/phase calibration is performed, the computer-controlled standard source outputs a corresponding signal at a power factor of 100%.
Converting the electric power data into numerical values according to a preset conversion model; wherein the conversion model is a reciprocal mapping model;
calculating the loss degree by adopting the same loss function to calculate the numerical value; the loss function is
。
Preferably, the association module, the location point module, the data acquisition module and the data verification module are utilized for secondary verification.
Advantageous effects
The invention provides a method for automatically calibrating power acquisition data. Compared with the prior art, the method has the following beneficial effects:
1. a method for automatically calibrating power acquisition data provides a method for self-calibrating various electric quantity parameters according to data model calculation by utilizing a communication means, and a calibration algorithm is embedded into a chip to quickly realize a calibration process.
2. A method for automatically calibrating electric power acquisition data utilizes a self-checking module to assist in calibration, performs secondary verification and improves self-calibration accuracy.
Drawings
FIG. 1 is a flow chart of an inspection method.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a technical scheme that: a method of automatically calibrating power harvesting data, comprising the steps of:
step S1: the computer is used for controlling the output signal of the standard source and then sending the calibration information of the related quantity to the calibrated equipment by utilizing the communication functions of the computer, the standard source and the calibrated unit;
step S2: after the calibrated unit finishes calibration, sending the verification success information to a computer, and controlling the computer to calibrate the next item, wherein the calibration process is processed for a plurality of times by the calibrated unit according to the data error detected by the chip;
step S3: and utilizing a self-checking module to assist in calibration.
The step S1 includes: voltage calibration: A. b, C three-phase voltage effective value calibration: calculating relative error by using the collected A, B, C voltage effective value,
U’gain= (Ur-Uxrms)/Ur，
Ux’gain>=0， Uxgain = Ux’gain * 32768；
Ux’gain<0， Uxgain = Ux’gain * 32768 + 65536；
relative error of x phase of Ux' gain; uxgain, x-phase voltage effective value calibration coefficient; x-A/B/C phase;
writing the Uxgain value obtained by the first calculation into an MCU voltage storage unit to store starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: uxgain (n) =Uxgain (n-1) +Ux' gain 10, the obtained value is written into the voltage storage unit for storage and then starts measurement, the measured unit is automatically completed until the design requirement is met, and a calibration voltage x success signal is sent to the calibration computer;
wherein 32768 and 65536 are both coefficient factors.
The step S1 includes: current calibration: A. b, C three-phase current effective value calibration: calculating relative error by using the collected A, B, C current effective value,
I’gain= (Ir-Ixrms/N)/Ir，
Ix’gain>=0， Ixgain = Ix’gain * 32768；
Ix’gain<0， Ixgain = Ix’gain * 32768 + 65536；
ix' gain: x phase relative error; ixgain, the effective value calibration coefficient of the x-phase current; x-A/B/C phase;
N-60/Ib; ib-limit current value;
writing the Ixgain value obtained by the first calculation into an MCU current storage unit to save starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: ixgain (n) =Ixgain (n-1) +Ix' gain 10, the measurement is started after the obtained value write current storage unit is stored, the measured unit is automatically completed until the design requirement is met, and a calibration current x success signal is sent to the calibration computer.
The step S1 includes: phase calibration: A. b, C the three-phase current is rated, the power factor is 0.5,
Axgain’= -(Pfr-Pxrel/Sxrel)/ (Pxrel/Sxrel)/1.732，
Ax’gain>=0， Axgain = Ax’*32768；
Ax’gain<0， Axgain = 65536+Ax’*32768；
ax' gain: x phase relative error; axgain, the effective value calibration coefficient of the x phase; x-A/B/C phase;
writing the Axgain value obtained by the first calculation into an MCU phase storage unit to save starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: axgain (n) =Axgain (n-1) +sign (Ax' gain), the obtained value is written into the phase storage unit for storage, then the next measurement is started, the unit to be measured is automatically completed until the design requirement is met, and a calibration phase x success signal is sent to the calibration computer;
wherein 32768 and 65536 are coefficient factors, and 1.732 is a parameter.
The self-checking module in step S3 includes:
the association module is used for acquiring end nodes of the power grid to-be-detected area, and counting power lines and logic sequences and spatial relations thereof based on the end nodes;
a location point module for creating a power transmission model according to the logical order and the spatial relationship, and determining location points containing type marks based on the power transmission model;
different types of marks contain corresponding mapping values;
the data acquisition module is used for installing a monitoring instrument at the position point and acquiring power data in real time by the monitoring instrument;
and the data verification module is used for verifying the collected power data based on the type mark, and uploading the power data to the storage end when the verification passes.
The data precision of the standard source is superior to that of the calibrated equipment, namely an intelligent electricity acquisition device by one order of magnitude.
The association module comprises: the target point determining unit is used for acquiring equipment distribution information of the power grid to-be-detected area and determining a target point according to the equipment distribution information;
the control unit is used for traversing the target point and acquiring the power supply direction of the power line connected with the target point;
a selecting unit for selecting an end node from the target points according to the power supply direction; the statistical processing unit is used for counting the power lines based on the end nodes and determining the logic sequence and the spatial relationship between the power lines according to the relationship between the power lines and the end nodes;
the logic sequence is used for representing the influence degree between the power lines, and the spatial relationship is used for representing the spatial position relationship of the power lines.
The association module further comprises: the model creation unit is used for creating a circuit model according to the logic sequence; wherein each line segment in the circuit model contains a number;
the model selecting unit is used for selecting a target model from the circuit models according to the spatial position relation to serve as a power transmission model;
the point position determining unit is used for determining position points on each line segment in the power transmission model based on preset frequency;
the type marking unit is used for acquiring current data of the end node, determining predicted current of each position point according to the current data and the logic sequence, and marking the type of the position point according to the predicted current; the mapped value of the type flag is determined by the predicted current.
The data acquisition module comprises: the instrument selection unit is used for selecting the monitoring instrument according to the mapping value at the position point;
the parameter marking unit is used for carrying out parameter calibration on the monitoring instrument; the calibrated parameters are used for adjusting the data acquisition frequency of the power data;
the acquisition execution unit is used for acquiring the electric power data in real time according to the monitoring instrument after parameter calibration;
specifically, the detection of real-time power data extraction comprises standard waveform characteristic values of a power loop, and three groups of characteristic values are respectively: standard waveform characteristic values of a current control loop, standard waveform characteristic values of a voltage control loop and standard waveform characteristic values of a power control loop;
t12: start time, T25: monitoring the time when the auxiliary contact of the instrument is opened, imax: the maximum value of the current of the control loop of the monitoring instrument is extracted from T12, T25 and Imax of the current, voltage and power loops of the monitoring instrument, the reference value of the monitoring instrument is selected from a mode library, and the reference value of the monitoring instrument are compared to judge the state of the acquisition execution unit, so that the defects are as follows:
a) The time T1-T2 is more than 10% of the reference value, and the defects of aging, jamming and the like of the coil exist in the wiring of the monitoring instrument;
b) The time T2-T5 is more than 10% of the reference value, and the internal resistance defect of the instrument is monitored;
c) The current peak value is more than 10% of the reference value, and turn-to-turn breakdown exists in the internal coil of the monitoring instrument;
d) The control loop of the monitoring instrument with zero current is open;
e) The current is larger than a reference value and the switching-on/switching-off control loop of the constant monitoring instrument is short-circuited;
the severity of the defect of the monitoring instrument can be judged by calculating the characteristic value variation rate of the current waveform of the monitoring instrument, and the variation rate of all characteristic values is taken as a criterion under the general condition, and the method is as follows:
，
，
，
；
，
，
，
；
，
，
，
；
alpha is the characteristic value variation rate of the current waveform of the monitoring instrument, beta is the characteristic value variation rate of the current waveform of the monitoring instrument, and gamma is the characteristic value variation rate of the power waveform of the monitoring instrument;
a) When the variation rates alpha, beta and gamma of all the characteristic values are less than or equal to 10%, the monitoring instrument is in a normal state;
b) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 10% and less than or equal to 20%, the monitoring instrument is in an attention state;
c) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 20% and less than or equal to 30%, the monitoring instrument is in an abnormal state;
d) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 30% and less than or equal to 40%, the monitoring instrument is in a serious state;
each result is a data error state.
When voltage/current/phase calibration is carried out, the computer controls the standard source to output corresponding signals when the power factor is 100%.
Converting the electric power data into numerical values according to a preset conversion model; wherein the conversion model is a reciprocal mapping model;
calculating the loss degree by adopting the same loss function to calculate the numerical value; the loss function is
。
And carrying out secondary verification by using the association module, the position point module, the data acquisition module and the data verification module.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The method for automatically calibrating the power acquisition data is characterized by comprising the following steps of: the method comprises the following steps:
step S1: the computer is used for controlling the output signal of the standard source and then sending the calibration information of the related quantity to the calibrated equipment by utilizing the communication functions of the computer, the standard source and the calibrated unit;
step S2: after the calibrated unit finishes calibration, sending the verification success information to a computer, and controlling the computer to calibrate the next item, wherein the calibration process is processed for a plurality of times by the calibrated unit according to the data error detected by the chip;
step S3: and utilizing a self-checking module to assist in calibration.
2. A method of automatically calibrating electrical power harvesting data according to claim 1, wherein: the step S1 includes: voltage calibration: A. b, C three-phase voltage effective value calibration: calculating relative error by using the collected A, B, C voltage effective value,
U’gain= (Ur-Uxrms)/Ur，
Ux’gain>=0， Uxgain = Ux’gain * 32768；
Ux’gain<0， Uxgain = Ux’gain * 32768 + 65536；
relative error of x phase of Ux' gain; uxgain, x-phase voltage effective value calibration coefficient; x-A/B/C phase;
writing the Uxgain value obtained by the first calculation into an MCU voltage storage unit to store starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: uxgain (n) =Uxgain (n-1) +Ux' gain 10, the obtained value is written into the voltage storage unit for storage and then starts measurement, the measured unit is automatically completed until the design requirement is met, and a calibration voltage x success signal is sent to the calibration computer;
wherein 32768 and 65536 are both coefficient factors.
3. A method of automatically calibrating electrical power harvesting data according to claim 1, wherein: the step S1 includes: current calibration: A. b, C three-phase current effective value calibration: calculating relative error by using the collected A, B, C current effective value,
I’gain= (Ir-Ixrms/N)/Ir，
Ix’gain>=0， Ixgain = Ix’gain * 32768；
Ix’gain<0， Ixgain = Ix’gain * 32768 + 65536；
ix' gain: x phase relative error; ixgain, the effective value calibration coefficient of the x-phase current; x-A/B/C phase;
N-60/Ib; ib-limit current value;
writing the Ixgain value obtained by the first calculation into an MCU current storage unit to save starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: ixgain (n) =Ixgain (n-1) +Ix' gain 10, the measurement is started after the obtained value write current storage unit is stored, the measured unit is automatically completed until the design requirement is met, and a calibration current x success signal is sent to the calibration computer.
4. A method of automatically calibrating electrical power harvesting data according to claim 1, wherein: the step S1 includes: phase calibration: A. b, C the three-phase current is rated, the power factor is 0.5,
Axgain’= -(Pfr-Pxrel/Sxrel)/ (Pxrel/Sxrel)/1.732，
Ax’gain>=0， Axgain = Ax’*32768；
Ax’gain<0， Axgain = 65536+Ax’*32768；
ax' gain: x phase relative error; axgain, the effective value calibration coefficient of the x phase; x-A/B/C phase;
writing the Axgain value obtained by the first calculation into an MCU phase storage unit to save starting measurement; the subsequent calibration process is calculated on the basis, and the calculation method comprises the following steps: axgain (n) =Axgain (n-1) +sign (Ax' gain), the obtained value is written into the phase storage unit for storage, then the next measurement is started, the unit to be measured is automatically completed until the design requirement is met, and a calibration phase x success signal is sent to the calibration computer;
wherein 32768 and 65536 are coefficient factors, and 1.732 is a parameter.
5. A method of automatically calibrating electrical power harvesting data according to claim 1, wherein: the self-checking module in step S3 includes:
the association module is used for acquiring end nodes of the power grid to-be-detected area, and counting power lines and logic sequences and spatial relations thereof based on the end nodes;
a location point module for creating a power transmission model according to the logical order and the spatial relationship, and determining location points containing type marks based on the power transmission model;
different types of marks contain corresponding mapping values;
the data acquisition module is used for installing a monitoring instrument at the position point and acquiring power data in real time by the monitoring instrument;
and the data verification module is used for verifying the collected power data based on the type mark, and uploading the power data to the storage end when the verification passes.
6. A method of automatically calibrating electrical power harvesting data according to claim 1, wherein: the data precision of the standard source is superior to that of the calibrated equipment, namely an intelligent electricity acquisition device by one order of magnitude.
7. A method of automatically calibrating power harvesting data according to claim 5, wherein: the association module comprises: the target point determining unit is used for acquiring equipment distribution information of the power grid to-be-detected area and determining a target point according to the equipment distribution information;
the control unit is used for traversing the target point and acquiring the power supply direction of the power line connected with the target point;
a selecting unit for selecting an end node from the target points according to the power supply direction; the statistical processing unit is used for counting the power lines based on the end nodes and determining the logic sequence and the spatial relationship between the power lines according to the relationship between the power lines and the end nodes;
the logic sequence is used for representing the influence degree between the power lines, and the spatial relationship is used for representing the spatial position relationship of the power lines.
8. A method of automatically calibrating power harvesting data according to claim 7, wherein: the association module further comprises: the model creation unit is used for creating a circuit model according to the logic sequence; wherein each line segment in the circuit model contains a number;
the model selecting unit is used for selecting a target model from the circuit models according to the spatial position relation to serve as a power transmission model;
the point position determining unit is used for determining position points on each line segment in the power transmission model based on preset frequency;
the type marking unit is used for acquiring current data of the end node, determining predicted current of each position point according to the current data and the logic sequence, and marking the type of the position point according to the predicted current; the mapping value of the type mark is determined by the predicted current;
the data acquisition module comprises: the instrument selection unit is used for selecting the monitoring instrument according to the mapping value at the position point;
the parameter marking unit is used for carrying out parameter calibration on the monitoring instrument; the calibrated parameters are used for adjusting the data acquisition frequency of the power data;
the acquisition execution unit is used for acquiring the electric power data in real time according to the monitoring instrument after parameter calibration;
specifically, the detection of real-time power data extraction comprises standard waveform characteristic values of a power loop, and three groups of characteristic values are respectively: standard waveform characteristic values of a current control loop, standard waveform characteristic values of a voltage control loop and standard waveform characteristic values of a power control loop;
t12: start time, T25: monitoring the time when the auxiliary contact of the instrument is opened, imax: the maximum value of the current of the control loop of the monitoring instrument is extracted from T12, T25 and Imax of the current, voltage and power loops of the monitoring instrument, the reference value of the monitoring instrument is selected from a mode library, and the reference value of the monitoring instrument are compared to judge the state of the acquisition execution unit, so that the defects are as follows:
a) The time T1-T2 is more than 10% of the reference value, and the monitoring instrument wiring has the defects of coil aging and jamming;
b) The time T2-T5 is more than 10% of the reference value, and the internal resistance defect of the instrument is monitored;
c) The current peak value is more than 10% of the reference value, and turn-to-turn breakdown exists in the internal coil of the monitoring instrument;
d) The control loop of the monitoring instrument with zero current is open;
e) The current is larger than a reference value and the switching-on/switching-off control loop of the constant monitoring instrument is short-circuited;
the severity of the defect of the monitoring instrument can be judged by calculating the characteristic value variation rate of the current waveform of the monitoring instrument, and the variation rate of all characteristic values is taken as a criterion under the general condition, and the method is as follows:
，
，
，
；
，
，
，
；
，
，
，
；
alpha is the characteristic value variation rate of the current waveform of the monitoring instrument, beta is the characteristic value variation rate of the current waveform of the monitoring instrument, and gamma is the characteristic value variation rate of the power waveform of the monitoring instrument;
a) When the variation rates alpha, beta and gamma of all the characteristic values are less than or equal to 10%, the monitoring instrument is in a normal state;
b) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 10% and less than or equal to 20%, the monitoring instrument is in an attention state;
c) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 20% and less than or equal to 30%, the monitoring instrument is in an abnormal state;
d) When the variation rates alpha, beta and gamma of all the characteristic values are more than or equal to 30% and less than or equal to 40%, the monitoring instrument is in a serious state;
each result is a data error state.
9. A method of automatically calibrating electrical power harvesting data according to claim 1, wherein: when voltage/current/phase calibration is carried out, the computer controls the standard source to output corresponding signals when the power factor is 100%,
converting the electric power data into numerical values according to a preset conversion model; wherein the conversion model is a reciprocal mapping model;
calculating the loss degree by adopting the same loss function to calculate the numerical value; the loss function is a function of the loss,
。
10. a method of automatically calibrating power harvesting data according to claim 5, wherein: and carrying out secondary verification by using the association module, the position point module, the data acquisition module and the data verification module.
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