CN114527315B - System and method for monitoring reliability of measuring equipment - Google Patents
System and method for monitoring reliability of measuring equipment Download PDFInfo
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- CN114527315B CN114527315B CN202210147059.8A CN202210147059A CN114527315B CN 114527315 B CN114527315 B CN 114527315B CN 202210147059 A CN202210147059 A CN 202210147059A CN 114527315 B CN114527315 B CN 114527315B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
- G01R19/16576—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing DC or AC voltage with one threshold
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R13/00—Arrangements for displaying electric variables or waveforms
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to a system and a method for monitoring the reliability of measuring equipment, comprising the following steps: the system comprises a first monitoring module, a second monitoring module and a reliability evaluation module, wherein the second monitoring module comprises: the system comprises a first receiving unit, a second receiving unit, a control unit, a fault wave recording unit and a data analysis unit; the first monitoring module is connected with the second monitoring module and the reliability evaluation module and is used for transmitting the determined historical data of the measuring equipment and the first label and the fifth label of the corresponding measuring equipment to the second monitoring module; the second monitoring module is connected with the reliability evaluation module; the reliability evaluation module is used for constructing a multi-type load simulation model for measuring and characteristic influence quantity through analysis and synthesis of a big data algorithm, is closer to special waveforms of field environments, and the reliability evaluation device of the measuring equipment is used for completing quantitative evaluation of the reliability of the measuring equipment of the platform region through reproduction and restoration of the multi-type load simulation model.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a system and a method for monitoring reliability of measurement equipment.
Background
The metering performance of the current measuring equipment is mainly aimed at power frequency sine, actual load scenes are complex and various, and the reliability of the measuring equipment needs to be evaluated according to the actual load scenes. Therefore, modeling analysis is required to be carried out on various typical load models, waveform characteristic quantities are extracted, and a multi-type load simulation model for metering and characteristic influence quantity is constructed and used as a detection basis of a quantitative evaluation model for the reliability of measuring equipment.
The existing equipment generally outputs a power frequency steady-state sine wave, does not support high-frequency unsteady-state sine wave output, so that the multi-type load simulation model is difficult to reproduce and restore, the multi-type load simulation model is a detection means for researching the reliability evaluation of the measuring equipment, a reliability evaluation device of the measuring equipment needs to be developed, the multi-type load simulation model can be reproduced and restored, and a power carrier noise signal can be superposed to complete the reliability evaluation of the measuring equipment. The reliability of the conventional measuring equipment is mainly measured performance detection and type test, the evaluation is single, the measuring performance and reliability conditions of the measuring equipment under the communication channels and the multiple types of loads cannot be accurately detected, the defect that the measuring equipment detects respectively is overcome, the field conditions of the measuring equipment, the communication channels and the load conditions are completely simulated, and the joint detection evaluation is carried out. The reliability evaluation of the measuring equipment is the basis and the difficulty of detection and research in the prior art.
Disclosure of Invention
The invention discloses a measuring equipment reliability monitoring system, which comprises: the system comprises a first monitoring module, a second monitoring module and a reliability evaluation module, wherein the second monitoring module comprises: the system comprises a first receiving unit, a second receiving unit, a control unit, a fault wave recording unit and a data analysis unit;
the first monitoring module is connected with the second monitoring module and the reliability evaluation module and is used for transmitting the determined historical data of the measuring equipment and the first label and the fifth label of the corresponding measuring equipment to the second monitoring module; the second monitoring module is connected with the reliability evaluation module;
the first receiving unit is used for receiving the first label, and the second receiving unit is used for receiving the fifth label; the control unit is used for sending a starting signal to the fault wave recording unit after the first receiving unit and the second receiving unit receive the first label or the fifth label;
the fault wave recording unit is used for selecting a typical load waveform actual scene of the measuring equipment corresponding to the first label or the fourth label of the platform region, developing load wave recording, monitoring and recording each typical load waveform for a long time through a wave recording device, and sending the load waveform to the data analysis unit;
The data analysis unit analyzes and synthesizes the recorded waveform files, extracts a typical load data model of the platform region, analyzes waveform characteristic quantity, fully uses different control and output methods of a time domain and a frequency domain, combines the flexibility and real-time characteristics of bottom software, analyzes the typical load data model of the platform region, and sends an analysis result to the reliability evaluation module;
the reliability evaluation module is used for constructing a multi-type load simulation model for measuring and characteristic influence quantity through analysis and synthesis of a big data algorithm, is closer to special waveforms of field environments, and the reliability evaluation device of the measuring equipment is used for completing quantitative evaluation of the reliability of the measuring equipment of the platform region through reproduction and restoration of the multi-type load simulation model.
The first monitoring module comprises: the system comprises a measurement equipment history value acquisition unit, a training unit, a standard deviation value acquisition unit, a tide calculation unit, a first judgment unit and a second judgment unit;
the measuring equipment historical value acquisition unit is used for acquiring measuring equipment of the platform area and marking the measuring equipment, and acquiring historical voltage measuring values which are arranged according to the measuring time sequence from the historical data of the measuring equipment;
The training unit is used for constructing a prediction model, taking the historical voltage measurement value of the platform area as a training sample, and training the prediction model to obtain the platform area voltage prediction model;
the standard deviation value obtaining unit obtains a plurality of platform region voltage predicted values predicted and output by the measuring equipment through the platform region voltage prediction model, matches the platform region voltage predicted values with the marks of the measuring equipment, carries out actual voltage measurement through the measuring equipment, calculates the voltage deviation value of the platform region voltage predicted values and the actual voltage measurement, and determines the standard deviation value of the voltage deviation value;
the power flow calculation unit is used for carrying out power flow calculation through the actual voltage measurement value to obtain a power flow calculation value;
the first judging unit is used for determining whether an actual voltage measurement value measured by the measuring equipment is within a preset range or not through a standard deviation value of the voltage deviation value, if so, judging whether the power flow calculation value is normal or not, if so, determining that the measuring equipment is normal, and transmitting the normal historical data of the measuring equipment to the second monitoring module after matching the historical data of the measuring equipment with a first mark;
if the actual voltage measurement value is abnormal, finding a second label of the corresponding measurement equipment, removing the measurement equipment with the second label, determining whether the calculated value of the power flow is normal or not, and if the calculated value of the power flow is not normal, sending the measurement equipment with the second label removed and corresponding to a third label to a second judgment unit;
The second judging unit is configured to form a communication path by using measurement devices corresponding to the third label, form an adjacent matrix, form a fault isolation reachability matrix on the basis of adjacent decision, search a standby power supply of the platform area on the reachability matrix, and search the standby power supply along the power supply path of the platform area until fault measurement nodes are encountered, in this way, find out all fault measurement nodes on the third label, reject a fourth label of the fault measurement nodes, subtract the second label from the fourth label to obtain a fifth label, and send the fifth label to the second monitoring module.
The reliability monitoring system of the measuring equipment, the reliability evaluation module specifically comprises:
the noise acquisition unit is used for acquiring field noise of a power line channel through a tool suitable for a power line environment, the tool is designed to use 10 ohm high impedance so as to avoid the influence of power line channel impedance change on acquired data, the accuracy of the acquired data is ensured, strong electric isolation is needed in the acquisition process, acquisition of noise and interference signals in a required frequency range is carried out through ADC (analog-to-digital converter), filtering and the like at the front end of the tool, the acquired noise is stored in corresponding storage equipment and used for data analysis, and the communication performance under the complex channel noise environment is studied;
The on-site wave recording waveform restoring unit adopts an independent hardware system and a high-speed hardware phase-locked loop scanning technology, improves the stability, reliability and anti-interference performance of the system, adopts a multiple feedback technology and a waveform predistortion technology, realizes high bandwidth, high stability and high accuracy of a power amplifying circuit, can restore the on-site wave recording waveform, and researches the reliability of measuring equipment;
the characteristic detection unit selects typical platform region noise aiming at the acquired noise interference data, performs noise playback through an acquisition tool, injects the acquired noise into a low-voltage carrier channel test system, accesses a spectrum analyzer and oscilloscope equipment in the test system to perform noise spectrum and time domain characteristic detection, and also can perform noise characteristic analysis through special noise analysis equipment to determine the influence of noise interference on a communication scheme, so that a laboratory tests a field platform region environment with a larger degree, and the reliability of performance detection research is improved.
The on-site wave recording waveform reduction unit is used for establishing a multi-channel fusion reduction and reproduction multi-type load simulation model based on-site wave recording and reproduction technology, and superposing the noise of the extracted carrier wave scheme detection receiving end on the multi-type load waveform, so that a laboratory tests a field station area environment to a greater extent, simulation research of the measuring equipment is realized, and the on-site wave recording waveform is reduced by jointly detecting and comparing the data of the multi-type load waveform, the multi-type load waveform and the measuring range equipment under the multi-channel fusion waveform.
A method for monitoring reliability of a measuring device, comprising the monitoring system according to any one of the above claims, comprising the steps of:
step S1, the first monitoring module is used for sending the determined historical data of the measuring equipment and the first label and the fifth label of the corresponding measuring equipment to step S2;
step S2, the first receiving unit is used for receiving the first label, and the second receiving unit is used for receiving the fifth label; the control unit is used for sending a starting signal to the step S3 after the first receiving unit and the second receiving unit receive the first label or the fifth label;
step S3, selecting a typical load waveform actual scene of the measuring equipment corresponding to the first label or the fourth label of the platform region, developing load wave recording, monitoring and recording each typical load waveform for a long time through a wave recording device, and sending the load waveform to the step S4;
s4, analyzing and synthesizing the recorded waveform files, extracting a typical load data model of the platform region, analyzing waveform characteristic quantities, fully utilizing different control and output methods of a time domain and a frequency domain, combining the flexibility and real-time characteristics of bottom software, analyzing the typical load data model of the platform region, and transmitting an analysis result to the step S5;
And S5, constructing a multi-type load simulation model for measuring and characteristic influence quantity through analysis and synthesis of a big data algorithm, and completing quantitative evaluation of the reliability of the platform area measuring equipment by the measuring equipment reliability evaluation device through reproduction and restoration of the multi-type load simulation model, wherein the special waveform is closer to the field environment.
The step S1 specifically includes:
step S11, measuring equipment of the area is obtained and labeled, and historical voltage measuring values arranged according to the measuring time sequence are obtained from historical data of the measuring equipment;
step S12, constructing a prediction model, and training the prediction model by taking a historical voltage measurement value of the platform region as a training sample to obtain a voltage prediction model of the platform region;
step S13, obtaining a plurality of platform region voltage predicted values predicted and output by the measurement equipment through the platform region voltage prediction model, matching the platform region voltage predicted values with the marks of the measurement equipment, carrying out actual voltage measurement by the measurement equipment, calculating voltage deviation values of the platform region voltage predicted values and the actual voltage measurement, and determining a standard deviation value of the voltage deviation value determined by the voltage deviation value;
S14, carrying out power flow calculation through the actual voltage measurement value to obtain a power flow calculation value;
step S15, determining whether an actual voltage measurement value measured by the measurement equipment is within a preset range according to a standard deviation value of the voltage deviation value, if so, judging whether the calculated tidal current value is normal, if so, determining that the measurement equipment is normal, and transmitting the normal historical data of the measurement equipment to the second monitoring module after matching the historical data of the measurement equipment with a first label;
step S16, if the actual voltage measurement value is abnormal, finding a second label of the corresponding measurement equipment, removing the measurement equipment with the second label, determining whether the calculated value of the power flow is normal or not, and if the calculated value of the power flow is abnormal, sending the measurement equipment with the second label removed and corresponding to a third label to a second judgment unit;
and S17, forming a communication path by measuring equipment corresponding to the third label to form an adjacent matrix, forming a fault isolation reachability matrix on the basis of adjacent decisions, searching a standby power supply of a platform area on the reachability matrix, searching along a power supply path of the platform area by taking the standby power supply as a starting point until fault measuring nodes are encountered, in this way, finding out all fault measuring nodes on the third label, eliminating the fourth label of the fault measuring nodes, subtracting the second label and the fourth label from the first label to obtain a fifth label, and transmitting the fifth label to the second monitoring module.
The step S5 specifically includes:
step S51, the tool is used for collecting field noise of a power line channel through the tool suitable for the power line environment, the tool is designed to use 10 ohm high impedance, so that the influence of the power line channel impedance change on collected data is avoided, the accuracy of the collected data is ensured, strong electric isolation is needed in the collecting process, the collected noise of a required frequency band and interference signals are collected through ADC (analog-to-digital converter), filtering and the like at the front end of the tool, and the collected noise is stored in corresponding storage equipment and used for data analysis and research on communication performance under the complex channel noise environment;
step S52, adopting an independent hardware system and a high-speed hardware phase-locked loop scanning technology, improving the stability, reliability and anti-interference performance of the system, adopting a multiple feedback technology and a waveform predistortion technology, realizing high bandwidth, high stability and high accuracy of a power amplifying circuit, recovering and reproducing the on-site wave recording waveform, and researching the reliability of measuring equipment;
step S53, aiming at the collected noise interference data, typical platform region noise is selected, noise playback is carried out through a collecting tool, the collected noise is injected into a low-voltage carrier channel testing system, a frequency spectrum analyzer and oscilloscope equipment are connected into the testing system to carry out noise spectrum and time domain feature detection, noise characteristic analysis can be carried out through special noise analyzing equipment, the influence of noise interference on a communication scheme is determined, a laboratory is enabled to test a field platform region environment to a greater extent, and reliability of performance detection research is improved.
The step S52 specifically includes: the method is used for establishing a multi-channel fusion restoration and reproduction multi-type load simulation model based on the field wave recording and reproduction technology, the noise of the extracted carrier wave scheme detection receiving end is superimposed on the multi-type load waveform, so that a laboratory tests the environment of a simulation field station area to a greater extent, simulation research of measuring equipment is realized, the data of the multi-type load waveform, the multi-type load waveform and the range equipment under the multi-channel fusion waveform are analyzed and compared for multiple times, and the field wave recording waveform is restored through joint detection.
The invention provides a reliability monitoring system and method for measuring equipment, comprising a first monitoring module, a second monitoring module and a reliability evaluation module, wherein after the first monitoring module and the second monitoring module are used for realizing double monitoring, abnormal running measuring equipment is removed, then the reliability evaluation device is used for checking the current normal running measuring equipment, the reliability evaluation can be carried out on the normal measuring equipment, the real modeling of typical load of a platform area and the reliability evaluation of the measuring equipment can be carried out, the defects that the measuring equipment can not accurately detect the measuring performance and the reliability of the measuring equipment under the conditions of communication channels and multiple types of loads in the prior art are overcome, the project avoids the defects that the measuring equipment respectively detects, and each measuring equipment, the communication channels and the load conditions completely simulate the field conditions to carry out the joint detection evaluation. The invention is characterized in that a first monitoring module and a second monitoring module are arranged to realize double monitoring, and a history value acquisition unit, a training unit, a standard deviation value acquisition unit, a tide calculation unit, a first judgment unit and a second judgment unit of the measuring equipment in the first monitoring module are arranged to realize multiple judgment, so that the first accurate judgment is realized, and then the first accurate judgment is input into the second monitoring module; as a further improvement of the present invention, the second monitoring module includes: the system comprises a first receiving unit, a second receiving unit, a control unit, a fault wave recording unit and a data analysis unit, wherein the first receiving unit, the second receiving unit, the control unit, the fault wave recording unit and the data analysis unit are input to a reliability evaluation module after the second monitoring is realized; as a further improvement of the invention, the acquired noise interference data is used for selecting typical platform area noise and carrying out noise playback through an acquisition tool; the method comprises the steps of on-site wave recording and multi-channel fusion reduction and reproduction of a multi-type load simulation model in the prior art, overlapping noise of an extracted carrier wave scheme detection receiving end on the multi-type load waveform, enabling a laboratory to test a field station area environment to be simulated to a greater extent, realizing simulation research of measuring equipment, analyzing and comparing data of the multi-type load waveform, the multi-type load waveform and range equipment under the multi-channel fusion waveform for multiple times, and reducing the on-site wave recording waveform through joint detection.
Drawings
FIG. 1 is a schematic diagram of a reliability monitoring system of a measuring apparatus according to the present invention.
FIG. 2 is a schematic diagram of a method for monitoring reliability of a measuring apparatus according to the present invention.
Fig. 3 is a schematic diagram of a monitoring flow of the first monitoring module according to the present invention.
Fig. 4 is a schematic diagram of a reliability evaluation flow chart of the present invention.
Detailed Description
The following detailed description of the present application is provided in conjunction with the accompanying drawings, and it is to be understood that the following detailed description is merely illustrative of the application and is not to be construed as limiting the scope of the application, since numerous insubstantial modifications and adaptations of the application will be to those skilled in the art in light of the foregoing disclosure.
FIG. 1 is a schematic diagram of a reliability monitoring system of a measuring apparatus according to the present invention.
The invention discloses a measuring equipment reliability monitoring system, which comprises: the system comprises a first monitoring module, a second monitoring module and a reliability evaluation module, wherein the second monitoring module comprises: the system comprises a first receiving unit, a second receiving unit, a control unit, a fault wave recording unit and a data analysis unit;
the first monitoring module is connected with the second monitoring module and the reliability evaluation module and is used for transmitting the determined historical data of the measuring equipment and the first label and the fifth label of the corresponding measuring equipment to the second monitoring module; the second monitoring module is connected with the reliability evaluation module;
The first receiving unit is used for receiving the first label, and the second receiving unit is used for receiving the fifth label; the control unit is used for sending a starting signal to the fault wave recording unit after the first receiving unit and the second receiving unit receive the first label or the fifth label;
the fault wave recording unit is used for selecting a typical load waveform actual scene of the measuring equipment corresponding to the first label or the fourth label of the platform region, developing load wave recording, monitoring and recording each typical load waveform for a long time through a wave recording device, and sending the load waveform to the data analysis unit;
the data analysis unit analyzes and synthesizes the recorded waveform files, extracts a typical load data model of the platform region, analyzes waveform characteristic quantity, fully uses different control and output methods of a time domain and a frequency domain, combines the flexibility and real-time characteristics of bottom software, analyzes the typical load data model of the platform region, and sends an analysis result to the reliability evaluation module;
the reliability evaluation module is used for constructing a multi-type load simulation model for measuring and characteristic influence quantity through analysis and synthesis of a big data algorithm, is closer to special waveforms of field environments, and the reliability evaluation device of the measuring equipment is used for completing quantitative evaluation of the reliability of the measuring equipment of the platform region through reproduction and restoration of the multi-type load simulation model.
The first monitoring module comprises: the system comprises a measurement equipment history value acquisition unit, a training unit, a standard deviation value acquisition unit, a tide calculation unit, a first judgment unit and a second judgment unit;
the measuring equipment historical value acquisition unit is used for acquiring measuring equipment of the platform area and marking the measuring equipment, and acquiring historical voltage measuring values which are arranged according to the measuring time sequence from the historical data of the measuring equipment;
the training unit is used for constructing a prediction model, taking the historical voltage measurement value of the platform area as a training sample, and training the prediction model to obtain the platform area voltage prediction model;
the standard deviation value obtaining unit obtains a plurality of platform region voltage predicted values predicted and output by the measuring equipment through the platform region voltage prediction model, matches the platform region voltage predicted values with the marks of the measuring equipment, carries out actual voltage measurement through the measuring equipment, calculates the voltage deviation value of the platform region voltage predicted values and the actual voltage measurement, and determines the standard deviation value of the voltage deviation value;
the power flow calculation unit is used for carrying out power flow calculation through the actual voltage measurement value to obtain a power flow calculation value;
The first judging unit is used for determining whether an actual voltage measurement value measured by the measuring equipment is within a preset range or not through a standard deviation value of the voltage deviation value, if so, judging whether the power flow calculation value is normal or not, if so, determining that the measuring equipment is normal, and transmitting the normal historical data of the measuring equipment to the second monitoring module after matching the historical data of the measuring equipment with a first mark;
if the actual voltage measurement value is abnormal, finding a second label of the corresponding measurement equipment, removing the measurement equipment with the second label, determining whether the calculated value of the power flow is normal or not, and if the calculated value of the power flow is not normal, sending the measurement equipment with the second label removed and corresponding to a third label to a second judgment unit;
the second judging unit is configured to form a communication path by using measurement devices corresponding to the third label, form an adjacent matrix, form a fault isolation reachability matrix on the basis of adjacent decision, search a standby power supply of the platform area on the reachability matrix, and search the standby power supply along the power supply path of the platform area until fault measurement nodes are encountered, in this way, find out all fault measurement nodes on the third label, reject a fourth label of the fault measurement nodes, subtract the second label from the fourth label to obtain a fifth label, and send the fifth label to the second monitoring module.
The reliability monitoring system of the measuring equipment, the reliability evaluation module specifically comprises:
the noise acquisition unit is used for acquiring field noise of a power line channel through a tool suitable for a power line environment, the tool is designed to use 10 ohm high impedance so as to avoid the influence of power line channel impedance change on acquired data, the accuracy of the acquired data is ensured, strong electric isolation is needed in the acquisition process, acquisition of noise and interference signals in a required frequency range is carried out through ADC (analog-to-digital converter), filtering and the like at the front end of the tool, the acquired noise is stored in corresponding storage equipment and used for data analysis, and the communication performance under the complex channel noise environment is studied;
the on-site wave recording waveform restoring unit adopts an independent hardware system and a high-speed hardware phase-locked loop scanning technology, improves the stability, reliability and anti-interference performance of the system, adopts a multiple feedback technology and a waveform predistortion technology, realizes high bandwidth, high stability and high accuracy of a power amplifying circuit, can restore the on-site wave recording waveform, and researches the reliability of measuring equipment;
the characteristic detection unit selects typical platform region noise aiming at the acquired noise interference data, performs noise playback through an acquisition tool, injects the acquired noise into a low-voltage carrier channel test system, accesses a spectrum analyzer and oscilloscope equipment in the test system to perform noise spectrum and time domain characteristic detection, and also can perform noise characteristic analysis through special noise analysis equipment to determine the influence of noise interference on a communication scheme, so that a laboratory tests a field platform region environment with a larger degree, and the reliability of performance detection research is improved.
The on-site wave recording waveform reduction unit is used for establishing a multi-channel fusion reduction and reproduction multi-type load simulation model based on-site wave recording and reproduction technology, and superposing the noise of the extracted carrier wave scheme detection receiving end on the multi-type load waveform, so that a laboratory tests a field station area environment to a greater extent, simulation research of the measuring equipment is realized, and the on-site wave recording waveform is reduced by jointly detecting and comparing the data of the multi-type load waveform, the multi-type load waveform and the measuring range equipment under the multi-channel fusion waveform.
FIG. 2 is a schematic diagram of a method for monitoring reliability of a measuring apparatus according to the present invention.
A method for monitoring reliability of a measuring device, comprising the monitoring system according to any one of the above claims, comprising the steps of:
step S1, the first monitoring module is used for sending the determined historical data of the measuring equipment and the first label and the fifth label of the corresponding measuring equipment to step S2;
step S2, the first receiving unit is used for receiving the first label, and the second receiving unit is used for receiving the fifth label; the control unit is used for sending a starting signal to the step S3 after the first receiving unit and the second receiving unit receive the first label or the fifth label;
Step S3, selecting a typical load waveform actual scene of the measuring equipment corresponding to the first label or the fourth label of the platform region, developing load wave recording, monitoring and recording each typical load waveform for a long time through a wave recording device, and sending the load waveform to the step S4;
s4, analyzing and synthesizing the recorded waveform files, extracting a typical load data model of the platform region, analyzing waveform characteristic quantities, fully utilizing different control and output methods of a time domain and a frequency domain, combining the flexibility and real-time characteristics of bottom software, analyzing the typical load data model of the platform region, and transmitting an analysis result to the step S5;
and S5, constructing a multi-type load simulation model for measuring and characteristic influence quantity through analysis and synthesis of a big data algorithm, and completing quantitative evaluation of the reliability of the platform area measuring equipment by the measuring equipment reliability evaluation device through reproduction and restoration of the multi-type load simulation model, wherein the special waveform is closer to the field environment.
Fig. 3 is a schematic diagram of a monitoring flow of the first monitoring module according to the present invention.
The step S1 specifically includes:
step S11, measuring equipment of the area is obtained and labeled, and historical voltage measuring values arranged according to the measuring time sequence are obtained from historical data of the measuring equipment;
Step S12, constructing a prediction model, and training the prediction model by taking a historical voltage measurement value of the platform region as a training sample to obtain a voltage prediction model of the platform region;
step S13, obtaining a plurality of platform region voltage predicted values predicted and output by the measurement equipment through the platform region voltage prediction model, matching the platform region voltage predicted values with the marks of the measurement equipment, carrying out actual voltage measurement by the measurement equipment, calculating voltage deviation values of the platform region voltage predicted values and the actual voltage measurement, and determining a standard deviation value of the voltage deviation value determined by the voltage deviation value;
s14, carrying out power flow calculation through the actual voltage measurement value to obtain a power flow calculation value;
step S15, determining whether an actual voltage measurement value measured by the measurement equipment is within a preset range according to a standard deviation value of the voltage deviation value, if so, judging whether the calculated tidal current value is normal, if so, determining that the measurement equipment is normal, and transmitting the normal historical data of the measurement equipment to the second monitoring module after matching the historical data of the measurement equipment with a first label;
step S16, if the actual voltage measurement value is abnormal, finding a second label of the corresponding measurement equipment, removing the measurement equipment with the second label, determining whether the calculated value of the power flow is normal or not, and if the calculated value of the power flow is abnormal, sending the measurement equipment with the second label removed and corresponding to a third label to a second judgment unit;
And S17, forming a communication path by measuring equipment corresponding to the third label to form an adjacent matrix, forming a fault isolation reachability matrix on the basis of adjacent decisions, searching a standby power supply of a platform area on the reachability matrix, searching along a power supply path of the platform area by taking the standby power supply as a starting point until fault measuring nodes are encountered, in this way, finding out all fault measuring nodes on the third label, eliminating the fourth label of the fault measuring nodes, subtracting the second label and the fourth label from the first label to obtain a fifth label, and transmitting the fifth label to the second monitoring module.
Fig. 4 is a schematic diagram of a reliability evaluation flow according to the present invention. The step S5 specifically includes:
step S51, the tool is used for collecting field noise of a power line channel through the tool suitable for the power line environment, the tool is designed to use 10 ohm high impedance, so that the influence of the power line channel impedance change on collected data is avoided, the accuracy of the collected data is ensured, strong electric isolation is needed in the collecting process, the collected noise of a required frequency band and interference signals are collected through ADC (analog-to-digital converter), filtering and the like at the front end of the tool, and the collected noise is stored in corresponding storage equipment and used for data analysis and research on communication performance under the complex channel noise environment;
Step S52, adopting an independent hardware system and a high-speed hardware phase-locked loop scanning technology, improving the stability, reliability and anti-interference performance of the system, adopting a multiple feedback technology and a waveform predistortion technology, realizing high bandwidth, high stability and high accuracy of a power amplifying circuit, recovering and reproducing the on-site wave recording waveform, and researching the reliability of measuring equipment;
step S53, aiming at the collected noise interference data, typical platform region noise is selected, noise playback is carried out through a collecting tool, the collected noise is injected into a low-voltage carrier channel testing system, a frequency spectrum analyzer and oscilloscope equipment are connected into the testing system to carry out noise spectrum and time domain feature detection, noise characteristic analysis can be carried out through special noise analyzing equipment, the influence of noise interference on a communication scheme is determined, a laboratory is enabled to test a field platform region environment to a greater extent, and reliability of performance detection research is improved.
The step S52 specifically includes: the method is used for establishing a multi-channel fusion restoration and reproduction multi-type load simulation model based on the field wave recording and reproduction technology, the noise of the extracted carrier wave scheme detection receiving end is superimposed on the multi-type load waveform, so that a laboratory tests the environment of a simulation field station area to a greater extent, simulation research of measuring equipment is realized, the data of the multi-type load waveform, the multi-type load waveform and the range equipment under the multi-channel fusion waveform are analyzed and compared for multiple times, and the field wave recording waveform is restored through joint detection.
The invention provides a reliability monitoring system and method for measuring equipment, comprising a first monitoring module, a second monitoring module and a reliability evaluation module, wherein after the first monitoring module and the second monitoring module are used for realizing double monitoring, abnormal running measuring equipment is removed, then the reliability evaluation device is used for checking the current normal running measuring equipment, the reliability evaluation can be carried out on the normal measuring equipment, the real modeling of typical load of a platform area and the reliability evaluation of the measuring equipment can be carried out, the defects that the measuring equipment can not accurately detect the measuring performance and the reliability of the measuring equipment under the conditions of communication channels and multiple types of loads in the prior art are overcome, the project avoids the defects that the measuring equipment respectively detects, and each measuring equipment, the communication channels and the load conditions completely simulate the field conditions to carry out the joint detection evaluation. The invention is characterized in that a first monitoring module and a second monitoring module are arranged to realize double monitoring, and a history value acquisition unit, a training unit, a standard deviation value acquisition unit, a tide calculation unit, a first judgment unit and a second judgment unit of the measuring equipment in the first monitoring module are arranged to realize multiple judgment, so that the first accurate judgment is realized, and then the first accurate judgment is input into the second monitoring module; as a further improvement of the present invention, the second monitoring module includes: the system comprises a first receiving unit, a second receiving unit, a control unit, a fault wave recording unit and a data analysis unit, wherein the first receiving unit, the second receiving unit, the control unit, the fault wave recording unit and the data analysis unit are input to a reliability evaluation module after the second monitoring is realized; as a further improvement of the invention, the acquired noise interference data is used for selecting typical platform area noise and carrying out noise playback through an acquisition tool; the method comprises the steps of on-site wave recording and multi-channel fusion reduction and reproduction of a multi-type load simulation model in the prior art, overlapping noise of an extracted carrier wave scheme detection receiving end on the multi-type load waveform, enabling a laboratory to test a field station area environment to be simulated to a greater extent, realizing simulation research of measuring equipment, analyzing and comparing data of the multi-type load waveform, the multi-type load waveform and range equipment under the multi-channel fusion waveform for multiple times, and reducing the on-site wave recording waveform through joint detection.
Claims (8)
1. A system for monitoring reliability of a metrology apparatus, comprising: the system comprises a first monitoring module, a second monitoring module and a reliability evaluation module, wherein the second monitoring module comprises: the system comprises a first receiving unit, a second receiving unit, a control unit, a fault wave recording unit and a data analysis unit;
the first monitoring module is connected with the second monitoring module and the reliability evaluation module and is used for sending a first mark corresponding to the determined historical value of the measuring equipment to the second monitoring module and sending a fifth mark to the second monitoring module; the second monitoring module is connected with the reliability evaluation module; the first label is a normal historical value of the measuring equipment; the fifth reference mark is obtained by subtracting the second reference mark from the first reference mark and subtracting the fourth reference mark from the first reference mark; the second label is the number corresponding to the measuring equipment with abnormal actual voltage measurement value in the measuring equipment; the third label is the number of the measuring equipment corresponding to the second label removed from the first label; the fourth label is the serial number of the measuring equipment corresponding to all the faulty measuring nodes on the third label;
the first receiving unit is used for receiving the first label, and the second receiving unit is used for receiving the fifth label; the control unit is used for sending a starting signal to the fault wave recording unit after the first receiving unit and the second receiving unit receive the first label or the fifth label;
The fault wave recording unit is used for selecting a typical load waveform actual scene of the measuring equipment corresponding to the first label or the fourth label of the platform region, developing load wave recording, monitoring and recording each typical load waveform for a long time through a wave recording device, and sending the load waveform to the data analysis unit;
the data analysis unit analyzes and synthesizes the recorded waveform files, extracts a typical load data model of the platform region, analyzes waveform characteristic quantity, fully uses different control and output methods of a time domain and a frequency domain, combines the flexibility and real-time characteristics of bottom software, analyzes the typical load data model of the platform region, and sends an analysis result to the reliability evaluation module;
the reliability evaluation module is used for constructing a multi-type load simulation model for measuring and characteristic influence quantity through analysis and synthesis of a big data algorithm, is closer to special waveforms of field environments, and the reliability evaluation device of the measuring equipment is used for completing quantitative evaluation of the reliability of the measuring equipment of the platform region through reproduction and restoration of the multi-type load simulation model.
2. The metrology device reliability monitoring system of claim 1, wherein the first monitoring module comprises: the system comprises a measurement equipment history value acquisition unit, a training unit, a standard deviation value acquisition unit, a tide calculation unit, a first judgment unit and a second judgment unit;
The measuring equipment historical value acquisition unit is used for acquiring measuring equipment of the platform area and marking the measuring equipment, and acquiring historical voltage measuring values which are arranged according to the measuring time sequence from the historical data of the measuring equipment;
the training unit is used for constructing a prediction model, taking the historical voltage measurement value of the platform area as a training sample, and training the prediction model to obtain the platform area voltage prediction model;
the standard deviation value acquisition unit acquires a plurality of platform region voltage predicted values predicted and output by the measurement equipment through the platform region voltage prediction model, matches the platform region voltage predicted values with the marks of the measurement equipment, acquires actual voltage measured values through the measurement equipment, calculates the voltage deviation values of the platform region voltage predicted values and the actual voltage measured values, and determines the standard deviation values of the voltage deviation values;
the power flow calculation unit is used for carrying out power flow calculation through the actual voltage measurement value to obtain a power flow calculation value;
the first judging unit is used for determining whether an actual voltage measurement value measured by the measuring equipment is within a preset range or not through a standard deviation value of the voltage deviation value, if so, judging whether the power flow calculation value is normal or not, if so, determining that the measuring equipment is normal, and transmitting the normal historical data of the measuring equipment to the second monitoring module after matching the historical data of the measuring equipment with a first mark;
If the actual voltage measurement value is abnormal, finding a second label of the corresponding measurement equipment, removing the measurement equipment with the second label, determining whether the calculated value of the power flow is normal or not, and if the calculated value of the power flow is not normal, sending the measurement equipment with the second label removed and corresponding to a third label to a second judgment unit;
the second judging unit is configured to form a communication path by using measurement devices corresponding to the third label, form an adjacent matrix, form a fault isolation reachability matrix on the basis of adjacent decision, search a standby power supply of the platform area on the reachability matrix, and search the standby power supply along the power supply path of the platform area until fault measurement nodes are encountered, in this way, find out all fault measurement nodes on the third label, reject a fourth label of the fault measurement nodes, subtract the second label from the fourth label to obtain a fifth label, and send the fifth label to the second monitoring module.
3. The system for monitoring the reliability of a measuring device according to claim 1, wherein the reliability evaluation module comprises: the device comprises a noise acquisition unit, a field wave recording waveform reduction unit and a characteristic detection unit;
The noise acquisition unit is used for acquiring field noise of a power line channel through a tool suitable for a power line environment, the tool is designed to use 10 ohm high impedance so as to avoid the influence of power line channel impedance change on acquired data, the accuracy of the acquired data is ensured, strong electric isolation is needed in the acquisition process, acquisition of noise and interference signals in a required frequency range is carried out through ADC (analog-digital converter) and filtering at the front end of the tool, the acquired noise is stored in corresponding storage equipment and used for data analysis, and the communication performance under the complex channel noise environment is studied;
the on-site wave recording waveform restoring unit adopts an independent hardware system and a high-speed hardware phase-locked loop scanning technology, improves the stability, reliability and anti-interference performance of the system, adopts a multiple feedback technology and a waveform predistortion technology, realizes high bandwidth, high stability and high accuracy of a power amplifying circuit, can restore and reappear on-site wave recording waveforms, and researches the reliability of measuring equipment;
the characteristic detection unit selects typical platform region noise aiming at the acquired noise interference data, performs noise playback through an acquisition tool, injects the acquired noise into a low-voltage carrier channel test system, accesses a spectrum analyzer and oscilloscope equipment in the test system to perform noise spectrum and time domain characteristic detection, and performs noise characteristic analysis through special noise analysis equipment to determine the influence of noise interference on a communication scheme, so that a laboratory tests a simulation site platform region environment to a greater extent, and the reliability of performance detection research is improved.
4. The system for monitoring reliability of measuring equipment according to claim 3, wherein the on-site recording waveform restoring unit is configured to establish a multi-channel fusion restoring and reproducing multi-type load simulation model based on-site recording and reproducing technologies, superimpose noise of the extracted carrier scheme detection receiving end on the multi-type load waveform, so that a laboratory tests a field station area environment to a greater extent, realize simulation research of the measuring equipment, analyze and compare data of the measuring range equipment under the multi-type load waveform, the multi-type load waveform and the multi-channel fusion waveform multiple times, and restore the on-site recording waveform through joint detection.
5. A method for monitoring the reliability of a measuring device, comprising the monitoring system according to any one of claims 1-4, comprising the steps of:
step S1, the first monitoring module is used for sending a first label corresponding to the determined historical value of the measuring equipment to step S2, and sending a fifth label to step S2;
step S2, the first receiving unit is used for receiving the first label, and the second receiving unit is used for receiving the fifth label; the control unit is used for sending a starting signal to the step S3 after the first receiving unit and the second receiving unit receive the first label or the fifth label;
Step S3, selecting a typical load waveform actual scene of the measuring equipment corresponding to the first label or the fourth label of the platform region, developing load wave recording, monitoring and recording each typical load waveform for a long time through a wave recording device, and sending the load waveform to the step S4;
s4, analyzing and synthesizing the recorded waveform files, extracting a typical load data model of the platform region, analyzing waveform characteristic quantities, fully utilizing different control and output methods of a time domain and a frequency domain, combining the flexibility and real-time characteristics of bottom software, analyzing the typical load data model of the platform region, and transmitting an analysis result to the step S5;
and S5, constructing a multi-type load simulation model for measuring and characteristic influence quantity through analysis and synthesis of a big data algorithm, and completing quantitative evaluation of the reliability of the platform area measuring equipment by the measuring equipment reliability evaluation device through reproduction and restoration of the multi-type load simulation model, wherein the special waveform is closer to the field environment.
6. The method for monitoring reliability of a measuring apparatus according to claim 5, wherein the step S1 specifically comprises:
step S11, measuring equipment of the area is obtained and labeled, and historical voltage measuring values arranged according to the measuring time sequence are obtained from historical data of the measuring equipment;
Step S12, constructing a prediction model, and training the prediction model by taking a historical voltage measurement value of the platform region as a training sample to obtain a voltage prediction model of the platform region;
step S13, obtaining a plurality of platform region voltage predicted values predicted and output by the measurement equipment through the platform region voltage prediction model, matching the platform region voltage predicted values with the marks of the measurement equipment, obtaining an actual voltage measured value through the measurement equipment, calculating a voltage deviation value of the platform region voltage predicted values and the actual voltage measured value, and determining a standard deviation value of the voltage deviation value;
s14, carrying out power flow calculation through the actual voltage measurement value to obtain a power flow calculation value;
step S15, determining whether an actual voltage measurement value measured by the measurement equipment is within a preset range according to a standard deviation value of the voltage deviation value, if so, judging whether the calculated tidal current value is normal, if so, determining that the measurement equipment is normal, and transmitting the normal historical data of the measurement equipment to the second monitoring module after matching the historical data of the measurement equipment with a first label;
step S16, if the actual voltage measurement value is abnormal, finding a second label of the corresponding measurement equipment, removing the measurement equipment with the second label, determining whether the calculated value of the power flow is normal or not, and if the calculated value of the power flow is abnormal, sending the measurement equipment with the second label removed and corresponding to a third label to a second judgment unit;
And S17, forming a communication path by measuring equipment corresponding to the third label to form an adjacent matrix, forming a fault isolation reachability matrix on the basis of adjacent decisions, searching a standby power supply of a platform area on the reachability matrix, searching along a power supply path of the platform area by taking the standby power supply as a starting point until fault measuring nodes are encountered, in this way, finding out all fault measuring nodes on the third label, eliminating the fourth label of the fault measuring nodes, subtracting the second label and the fourth label from the first label to obtain a fifth label, and transmitting the fifth label to the second monitoring module.
7. The method for monitoring reliability of a measuring apparatus according to claim 5, wherein the step S5 specifically comprises:
step S51, the tool is used for collecting field noise of a power line channel through the tool suitable for the power line environment, the tool is designed to use 10 ohm high impedance, so that the influence of power line channel impedance change on collected data is avoided, the accuracy of the collected data is ensured, strong electric isolation is needed in the collecting process, the collected noise and interference signals in the required frequency range are collected through the ADC and filtering at the front end of the tool, and the collected noise is stored in corresponding storage equipment and used for data analysis and research on communication performance under the complex channel noise environment;
Step S52, adopting an independent hardware system and a high-speed hardware phase-locked loop scanning technology, improving the stability, reliability and anti-interference performance of the system, adopting a multiple feedback technology and a waveform predistortion technology, realizing high bandwidth, high stability and high accuracy of a power amplifying circuit, recovering and reproducing the on-site wave recording waveform, and researching the reliability of measuring equipment;
step S53, aiming at the collected noise interference data, typical platform region noise is selected, noise playback is carried out through a collecting tool, the collected noise is injected into a low-voltage carrier channel testing system, a frequency spectrum analyzer and oscilloscope equipment are connected into the testing system for noise spectrum and time domain feature detection, noise characteristic analysis is carried out through special noise analyzing equipment, the influence of noise interference on a communication scheme is determined, the laboratory is enabled to test the field platform region environment to a greater extent, and the reliability of performance detection research is improved.
8. The method for monitoring reliability of a measuring apparatus according to claim 7, wherein the step S52 specifically comprises: the method is used for establishing a multi-channel fusion restoration and reproduction multi-type load simulation model based on the field wave recording and reproduction technology, the noise of the extracted carrier wave scheme detection receiving end is superimposed on the multi-type load waveform, so that a laboratory tests the environment of a simulation field station area to a greater extent, simulation research of measuring equipment is realized, the data of the multi-type load waveform, the multi-type load waveform and the range equipment under the multi-channel fusion waveform are analyzed and compared for multiple times, and the field wave recording waveform is restored through joint detection.
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