CN114034951A - Measurement data statistical analysis method and system for noise immunity test - Google Patents
Measurement data statistical analysis method and system for noise immunity test Download PDFInfo
- Publication number
- CN114034951A CN114034951A CN202111276106.0A CN202111276106A CN114034951A CN 114034951 A CN114034951 A CN 114034951A CN 202111276106 A CN202111276106 A CN 202111276106A CN 114034951 A CN114034951 A CN 114034951A
- Authority
- CN
- China
- Prior art keywords
- data
- interface
- client
- statistical analysis
- modbus
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007619 statistical method Methods 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000012360 testing method Methods 0.000 title claims abstract description 49
- 230000036039 immunity Effects 0.000 title claims abstract description 39
- 238000005259 measurement Methods 0.000 title claims description 73
- 238000012544 monitoring process Methods 0.000 claims abstract description 41
- 238000004891 communication Methods 0.000 claims abstract description 35
- 230000008569 process Effects 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000005070 sampling Methods 0.000 claims description 5
- 230000011664 signaling Effects 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 description 14
- 230000006870 function Effects 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 239000000047 product Substances 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 5
- 238000012935 Averaging Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000013016 damping Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- 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
- G01R31/001—Measuring interference from external sources to, or emission from, the device under test, e.g. EMC, EMI, EMP or ESD testing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Electromagnetism (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
A statistical analysis method and a system for measured data of an immunity test are provided, wherein a data acquisition module is in communication connection with a tested device to acquire monitoring data in an electromagnetic compatibility test process, and an IEC61850-MMS client, an IEC60870-104 client and a Modbus client of the data acquisition module are respectively in communication with the tested device through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol; the data statistical analysis module is in communication connection with the data acquisition module to acquire monitoring data of the data acquisition module, and the monitoring data is subjected to error out-of-tolerance data identification display, error depth analysis and event report statistics. The invention calls the corresponding protocol interface through the unified client, realizes the automatic connection of the station control layer communication protocol, has good universality, automatically analyzes multiple errors in real time through the data statistical analysis module, and is convenient and accurate to analyze.
Description
Technical Field
The invention relates to the technical field of electromagnetic compatibility testing of electronic and electric products, in particular to a statistical analysis method and a statistical analysis system for measured data used for noise immunity testing.
Background
In the existing method, a monitoring module of a manufacturer is generally adopted to monitor remote measurement and remote signaling in the testing process.
In the prior art, only the monitoring of a monitoring module of a product manufacturer on measurement data can be realized, only the real-time online monitoring function of the product can be realized, the requirements of data recording and statistics according to requirements cannot be met, required data cannot be accurately extracted, and the calculation results of data such as errors, variation, deviation and the like have distortion reality. In addition, different manufacturers provide different monitoring modules and monitoring methods, and the interoperability between different devices and different monitoring modules cannot be met.
The reasons for the above disadvantages are:
1. products and software of different manufacturers are not interconnected and difficult to realize, and a third party organization is required to match interface types and protocol formats.
2. The conventional measurement data monitoring method does not match the functions of monitoring, recording and counting data for a long time in an electromagnetic compatibility noise immunity environment.
3. For a long time, the monitoring, recording and processing technology for monitoring data under the condition of electromagnetic compatibility and immunity has a bottleneck, and effective breakthrough is not realized.
4. The problem of data algorithm under the condition of electromagnetic compatibility immunity is not effectively solved, and errors, variation and effective separation of the errors cannot be realized.
Therefore, it is necessary to provide a statistical analysis method for measuring data in noise immunity test to overcome the deficiencies of the prior art.
Disclosure of Invention
The invention aims to avoid the defects of the prior art and provides a method and a system for statistical analysis of measurement data for noise immunity testing.
The above object of the present invention is achieved by the following technical measures.
There is provided a statistical analysis method of measurement data for noise immunity test,
the data acquisition module is in communication connection with the tested equipment and is used for acquiring monitoring data in the electromagnetic compatibility test process, the data acquisition module is provided with an IEC61850-MMS client, an IEC 60870-plus-104 client and a Modbus client, and the IEC61850-MMS client, the IEC 60870-plus-104 client and the Modbus client are respectively communicated with the tested equipment through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol;
the data statistical analysis module is in communication connection with the data acquisition module to acquire monitoring data of the data acquisition module, and the monitoring data is subjected to error out-of-tolerance data identification display, error depth analysis and event report statistics.
Preferably, in the statistical analysis method for the measured data used for the immunity test, the data of the IEC61850 MMS client is automatically saved as an EMC _ MMS _ data.emc file, the data of the IEC 60870104 client is automatically saved as an EMC _104_ data.emc file, and the data of the Modbus client is automatically saved as an EMC _ Modbus _ data.emc file.
Preferably, in the above statistical analysis method for measured data used for noise immunity test, the data statistical analysis module receives data in the EMC _ MMS _ data.emc file, the EMC _104_ data.emc file, and the EMC _ Modbus _ data.emc file in real time, identifies the part with out-of-tolerance real-time error, and performs differential display.
Preferably, in the statistical analysis method for the measured data of the immunity test, the differential display is displayed in a color other than black.
Preferably, in the statistical analysis method for the measurement data used for the immunity test, the error depth analysis is to perform the following error statistics on the collected data, and specifically includes 18 names and corresponding calculation methods described in the following table:
| serial number | Name (R) | Calculation method |
| 1 | Total number of | Counting the total number of the monitored data in the whole time period |
| 2 | Error out of tolerance | Counting the number of real-time errors in the full time period |
| 3 | Error out-of-tolerance ratio | Error over-differential number ÷ total number |
| 4 | Maximum real time error | Max { (measurement quantity × first coefficient-application quantity × transformation ratio) ÷ reference quantity } |
| 5 | Minimum real time error | Min { (measurement quantity × first coefficient-application quantity × conversion ratio) ÷ reference quantity } |
| 6 | Averaging real time errors | Average { (measurement quantity × first coefficient-application quantity × conversion ratio) ÷ reference quantity } |
| 7 | Maximum range error | Max { (measurement quantity x first coefficient-application quantity x transformation ratio) ÷ range } |
| 8 | Minimum range error | Min { (measurement quantity x first coefficient-application quantity x transformation ratio) ÷ range } |
| 9 | Average range error | Average { (measurement quantity x first coefficient-application quantity x transformation ratio) ÷ range } |
| 10 | Maximum deviation value | Max { Abs (measurement quantity x first coefficient-application quantity x transformation ratio) } |
| 11 | Minimum deviation value | Min { Abs (measurement quantity. times. first coefficient-application quantity. times. transformation ratio) } |
| 12 | Maximum variation | Max { (measurement quantity × first coefficient-measurement quantity before disturbance × second coefficient) ÷ reference quantity } |
| 13 | Minimum variation | Min { (measurement quantity x first coefficient-measurement quantity before disturbance x second coefficient) ÷ reference quantity } |
| 14 | Mean variation | Average { (measurement quantity x first coefficient-measurement quantity before disturbance x second coefficient) ÷ reference quantity } |
| 15 | Variation and super-difference number | Within the statistic interference time, the variation super-difference number |
| 16 | Variation over-error ratio | Variation over-difference number ÷ variation total number |
| 17 | Maximum error time scale | Time corresponding to maximum real-time error |
| 18 | Time scale of maximum variation | Time corresponding to maximum variation |
The parameters in the table are all parameter concepts known in the art. For example: the measurement quantity x the first coefficient, the measurement quantity sent up is not necessarily an actual value, for example, a voltage of 57.7V is applied to the device, the measurement quantity sent up by the device may be an encoded value (11000000), and the actual value is converted into a value represented by multiplying the first coefficient. The measurement value before disturbance is multiplied by a second coefficient, and the measurement value before disturbance is not necessarily an actual value, for example, a voltage of 60V is applied to the device, and the measurement value sent by the device may be an encoded value, and needs to be multiplied by the second coefficient to be converted into an actually characterized value. When the error is calculated, the error of the first value sometimes needs to be calculated, and at this time, the applied quantity needs to be multiplied by a transformation ratio and converted to the first value (110kV) for calculation, the reference quantity refers to a reference of the measured quantity, such as 100V, and the range refers to the range of the measured quantity, and the description is omitted here.
Preferably, in the above statistical analysis method for measured data used for noise immunity test, the data statistical analysis module automatically analyzes the uploaded telemetering and remote signaling data, determines abnormal conditions in the processes of data sampling and data uploading in the process of electromagnetic compatibility test, and reports events.
Preferably, the statistical analysis method for the measurement data of the noise immunity test is further provided with an interface conversion device, an input side of the interface device is provided with an RJ45 interface and an RS485 interface, and an output side of the interface device is provided with an RJ45 interface;
the interface of the IEC61850-MMS client is connected with the RJ45 interface at the input side of the interface device, the interface of the IEC60870-104 client is connected with the RS485 or RJ45 interface at the input side of the interface device, and the interface of the Modbus client is connected with the RJ45 interface at the input side of the interface device;
the RJ45 interface on the output side of the interface device is connected with the data statistical analysis module.
Preferably, the statistical analysis method for the measured data used for the immunity test is further provided with a storage module, and the data acquired by the data acquisition module is stored in the storage module.
The other purpose of the invention is realized by the following technical means:
the measurement data statistical analysis system for the immunity test by adopting the data record statistical analysis method is provided with:
the data acquisition module is used for acquiring monitoring data in the electromagnetic compatibility test process and is provided with an IEC61850-MMS client, an IEC 60870-containing 104 client and a Modbus client, and the IEC61850-MMS client, the IEC 60870-containing 104 client and the Modbus client are in communication connection with tested equipment through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol respectively;
and the data statistical analysis module is in communication connection with the data acquisition module, acquires the monitoring data of the data acquisition module, and performs error out-of-tolerance data identification display, error depth analysis and event report statistics on the monitoring data.
Preferably, the statistical analysis system for the measurement data of the noise immunity test is further provided with an interface conversion device, an input side of the interface device is provided with an RJ45 interface and an RS485 interface, and an output side of the interface device is provided with an RJ45 interface;
the interface of the IEC61850-MMS client is connected with the RJ45 interface at the input side of the interface device, the interface of the IEC60870-104 client is connected with the RS485 or RJ45 interface at the input side of the interface device, and the interface of the Modbus client is connected with the RJ45 interface at the input side of the interface device;
the RJ45 interface on the output side of the interface device is connected with the data statistical analysis module.
According to the measurement data statistical analysis method and system for the immunity test, the data acquisition module is provided with the IEC61850-MMS client, the IEC 60870-plus 104 client and the Modbus client, the corresponding protocol interfaces are called through the unified client, the automatic connection of the station control layer communication protocol is realized, and the universality of the method and system is improved. And the data statistical analysis module automatically performs multi-error real-time analysis, and provides force support for evaluation of test results.
Drawings
The invention is further illustrated by means of the attached drawings, the content of which is not in any way limiting.
Fig. 1 is a block diagram of a statistical analysis system for measured data used in noise immunity testing according to the present invention.
Detailed Description
The invention is further illustrated by the following examples.
Example 1.
A statistical analysis method for measurement data of an immunity test collects monitoring data in an electromagnetic compatibility test process through communication connection of a data collection module and tested equipment, wherein the data collection module is provided with an IEC61850-MMS client, an IEC 60870-plus-104 client and a Modbus client, and the IEC61850-MMS client, the IEC 60870-plus-104 client and the Modbus client are respectively communicated with the tested equipment through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol.
Products with measurement functions such as relay protection, distribution network automation terminals, measurement and control equipment, measuring instruments and the like generally support three communication protocols, namely IEC61850-MMS, IEC 60870-supplement 104 and Modbus, on station control layer communication. The data acquisition module is provided with an IEC61850-MMS client, an IEC 60870-one 104 client and a Modbus client, so that the required clients can be selected to communicate with the tested equipment. The invention carries out communication connection on the tested equipment through the three protocols and carries out data acquisition according to the requirement of data monitoring in the electromagnetic compatibility testing process.
And after data are collected, the data statistical analysis module is used for analyzing the collected data in real time and evaluating whether the measurement function of the device is normal in the electromagnetic compatibility test process. Specifically, the data statistical analysis module is in communication connection with the data acquisition module to acquire monitoring data of the data acquisition module, and the monitoring data is subjected to error out-of-tolerance data identification display, error depth analysis and event report statistics.
FIG. 1 is a frame diagram of the method of the invention, and an IEC61850-MMS client, an IEC60870-104 client and a Modbus client are respectively in communication connection with a tested device through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol. The data statistical analysis module is used for three clients to call in a dynamic link library mode, and therefore real-time data processing is achieved.
The IEC61850 MMS client, the IEC 60870104 client and the Modbus client communicate interface types and protocol formats in a standardized protocol mode, inconvenience and quickness of communication connection caused by different manufacturers and modules are avoided, and effective linkage of a physical layer of a bottom-layer client and correct reading of messages are completed. The data statistical analysis module extracts the data in the three clients to process the data as required, thereby realizing the effective combination of the data reading, statistics and analysis and the electromagnetic compatibility immunity test process, and ensuring the rigor and correctness of data sampling, recording and analysis.
The data of the IEC61850 MMS client is automatically saved as an EMC _ MMS _ DATA.emc file, the data of the IEC 60870104 client is automatically saved as an EMC _104_ DATA.emc file, the data of the Modbus client is automatically saved as an EMC _ Modbus _ DATA.emc file, and the files automatically saved by the clients are stored in a memory.
The data statistical analysis module receives data in the EMC _ MMS _ DATA.emc file, the EMC _104_ DATA.emc file and the EMC _ Modbus _ DATA.emc file in real time, analyzes the collected data, and evaluates whether data sampling and data uploading of the tested device are normal in the electromagnetic compatibility test process. The data statistical analysis module comprises three main functions.
1) Out-of-tolerance data display
The data is refreshed in real time, and the part with the real-time error out of tolerance displays the obvious mark in a distinguishing way.
And identifying the part with the out-of-tolerance real-time error, and performing differential display. The differential display is performed by displaying in a color other than black, for example, red.
2) Error depth analysis
The data statistical analysis needs to perform multiple error statistics on the acquired data, and specifically includes 18 names and corresponding calculation methods described in the following table:
| serial number | Name (R) | Calculation method |
| 1 | Total number of | Counting the total number of the monitored data in the whole time period |
| 2 | Error out of tolerance | Counting the number of real-time errors in the full time period |
| 3 | Error out-of-tolerance ratio | Error over-differential number ÷ total number |
| 4 | Maximum real time error | Max { (measurement quantity × first coefficient-application quantity × transformation ratio) ÷ reference quantity } |
| 5 | Minimum real time error | Min { (measurement quantity × first coefficient-application quantity × conversion ratio) ÷ reference quantity } |
| 6 | Averaging real time errors | Average { (measurement quantity × first coefficient-application quantity × conversion ratio) ÷ reference quantity } |
| 7 | Maximum range error | Max { (measurement quantity x first coefficient-application quantity x transformation ratio) ÷ range } |
| 8 | Minimum range error | Min { (measurement quantity x first coefficient-application quantity x transformation ratio) ÷ range } |
| 9 | Average range error | Average { (measurement quantity x first coefficient-application quantity x transformation ratio) ÷ range } |
| 10 | Maximum deviation value | Max { Abs (measurement quantity x first coefficient-application quantity x transformation ratio) } |
| 11 | Minimum deviation value | Min { Abs (measurement quantity. times. first coefficient-application quantity. times. transformation ratio) } |
| 12 | Maximum variation | Max { (measurement quantity × first coefficient-measurement quantity before disturbance × second coefficient) ÷ reference quantity } |
| 13 | Minimum variation | Min { (measurement quantity x first coefficient-measurement quantity before disturbance x second coefficient) ÷ reference quantity } |
| 14 | Mean variation | Average { (measurement quantity x first coefficient-measurement quantity before disturbance x second coefficient) ÷ reference quantity } |
| 15 | Variation and super-difference number | Within the statistic interference time, the variation super-difference number |
| 16 | Variation over-error ratio | Variation over-difference number ÷ variation total number |
| 17 | Maximum error time scale | Time corresponding to maximum real-time error |
| 18 | Time scale of maximum variation | Time corresponding to maximum variation |
The parameters in the table are all parameter concepts known in the art. For example: the measurement quantity x the first coefficient, the measurement quantity sent up is not necessarily an actual value, for example, a voltage of 57.7V is applied to the device, the measurement quantity sent up by the device may be an encoded value (11000000), and the actual value is converted into a value represented by multiplying the first coefficient. The measurement value before disturbance is multiplied by a second coefficient, and the measurement value before disturbance is not necessarily an actual value, for example, a voltage of 60V is applied to the device, and the measurement value sent by the device may be an encoded value, and needs to be multiplied by the second coefficient to be converted into an actually characterized value. When the error is calculated, the error of the first value sometimes needs to be calculated, and at this time, the applied quantity needs to be multiplied by a transformation ratio and converted to the first value (110kV) for calculation, the reference quantity refers to a reference of the measured quantity, such as 100V, and the range refers to the range of the measured quantity, and the description is omitted here.
3) Event report statistics
The data statistical analysis module automatically analyzes the uploaded telemetering and remote signaling data, judges abnormal conditions in the data sampling and data uploading process in the electromagnetic compatibility test process and reports events.
The statistical analysis method for the measurement data of the immunity test is further provided with an interface conversion device, an input side of the interface device is provided with an RJ45 interface and an RS485 interface, and an output side of the interface device is provided with an RJ45 interface.
The interface of the IEC61850-MMS client is connected with the RJ45 interface at the input side of the interface device, the interface of the IEC60870-104 client is connected with the RS485 or RJ45 interface at the input side of the interface device, and the interface of the Modbus client is connected with the RJ45 interface at the input side of the interface device; the RJ45 interface on the output side of the interface device is connected with the data statistical analysis module.
Hardware interfaces adopted by three communication protocols are different, an RJ45 interface is adopted by IEC61850-MMS, an RS485 or RJ45 interface is adopted by IEC 60870-101/104, an RJ45 interface is adopted by Modbus, an interface conversion device is adopted on hardware connection, an RJ45 interface is arranged between the device and the data statistical analysis module, interfaces such as RJ45 and RS485 are adopted between the device and the tested equipment, and the interface conversion device realizes quick connection of the interfaces. The interface conversion device realizes the automatic switching of various physical interfaces, and reduces the workload of wiring debugging.
The data acquisition module is used for acquiring data and storing the data into the storage module. The database processing technology of the collected data ensures the secondary statistics and use of the required data in the later period.
The invention adopts the automatic data acquisition and automatic data analysis technology, unifies the physical layer interface program compared with the prior art, realizes one-key connection of the measurement and control device and the data monitoring client, and enhances the reliability of data communication. In addition, the data statistical analysis module realizes secondary processing of the measured data in a mode of nesting standard error, variation and deviation calculation formulas, and realizes barrier-free calling of historical data through a database storage technology, so that the requirement of data reproducibility under the condition of later-stage statistical immunity is met.
Example 2.
A statistical analysis system for measured data for noise immunity test, which performs statistical analysis of data by using the statistical analysis method for data record of embodiment 1, as shown in fig. 1, and is provided with:
the data acquisition module is used for acquiring monitoring data in the electromagnetic compatibility test process and is provided with an IEC61850-MMS client, an IEC 60870-containing 104 client and a Modbus client, and the IEC61850-MMS client, the IEC 60870-containing 104 client and the Modbus client are in communication connection with tested equipment through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol respectively;
and the data statistical analysis module is in communication connection with the data acquisition module, acquires the monitoring data of the data acquisition module, and performs error out-of-tolerance data identification display, error depth analysis and event report statistics on the monitoring data.
The interface conversion device is further arranged, an RJ45 interface and an RS485 interface are arranged on the input side of the interface device, and an RJ45 interface is arranged on the output side of the interface device;
the interface of the IEC61850-MMS client is connected with the RJ45 interface at the input side of the interface device, the interface of the IEC60870-104 client is connected with the RS485 or RJ45 interface at the input side of the interface device, and the interface of the Modbus client is connected with the RJ45 interface at the input side of the interface device;
the RJ45 interface on the output side of the interface device is connected with the data statistical analysis module.
The invention adopts an automatic data acquisition and automatic data analysis system, unifies the interface program of the physical layer compared with the prior art, realizes one-key connection of the measurement and control device and the data monitoring client, and enhances the reliability of data communication. In addition, the data statistical analysis module realizes secondary processing of the measured data in a mode of nesting standard error, variation and deviation calculation formulas, and realizes barrier-free calling of historical data through a database storage technology, so that the requirement of data reproducibility under the condition of later-stage statistical immunity is met.
Example 3.
The automatic terminal of a certain distribution network has the functions of measuring data such as three-phase current, three-phase voltage, frequency, power and the like, the communication interface is an RS485 interface, the communication protocol is IEC 60870-. The application of the invention realizes the standardized connection of the tested product and the communication link of the monitoring terminal, the automatic monitoring of the tested data, the automatic processing of required errors and variations and the automatic storage of the database.
Example 4.
A certain protection measurement and control class device possesses data measurement functions such as three-phase current, three-phase voltage, frequency, power, and communication interface is RJ45 ethernet interface, and communication protocol is IEC61850, according to national standard GB/T14598.26-2015 measurement relay and protection device part 26: electromagnetic compatibility requirements, when the measured data is used for testing fast transient, electrostatic discharge and surge immunity in electromagnetic compatibility, the analog quantity measurement is required to be monitored in real time, and the minimum error data is calculated and stored. The application of the invention realizes the standardized connection of the tested product and the communication link of the monitoring terminal, the automatic monitoring of the tested data, the automatic processing of required errors and variations and the automatic storage of the database.
Example 5.
A certain network communication instrument device has data measurement functions of three-phase current, three-phase voltage, frequency, power and the like, a communication interface is an RS485 interface, a communication protocol is an MODBUS protocol, and according to the national standard GB/T13729 + 2019 telecontrol terminal equipment, when measured data are tested for radiation immunity, power frequency magnetic field and damping oscillation magnetic field in electromagnetic compatibility, the variation of the analog quantity measurement caused by environmental variables is required to be not more than 100% of a reference error. The application of the invention realizes the standardized connection of the tested product and the communication link of the monitoring terminal, the automatic monitoring of the tested data, the automatic processing of required errors and variations and the automatic storage of the database.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the protection scope of the present invention, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A statistical analysis method of measurement data for noise immunity test is characterized in that,
the data acquisition module is in communication connection with the tested equipment and is used for acquiring monitoring data in the electromagnetic compatibility test process, the data acquisition module is provided with an IEC61850-MMS client, an IEC 60870-plus-104 client and a Modbus client, and the IEC61850-MMS client, the IEC 60870-plus-104 client and the Modbus client are respectively communicated with the tested equipment through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol;
the data statistical analysis module is in communication connection with the data acquisition module to acquire monitoring data of the data acquisition module, and the monitoring data is subjected to error out-of-tolerance data identification display, error depth analysis and event report statistics.
2. The statistical analysis method for the measured data of the immunity test according to claim 1, wherein the data of the IEC61850 MMS client is automatically saved as an EMC _ MMS _ DATA.emc file, the data of the IEC 60870104 client is automatically saved as an EMC _104_ DATA.emc file, and the data of the Modbus client is automatically saved as an EMC _ Modbus _ DATA.emc file.
3. The statistical analysis method for the measurement data of the immunity test according to claim 2, wherein the statistical analysis module receives the data in the EMC _ MMS _ data.emc file, the EMC _104_ data.emc file and the EMC _ Modbus _ data.emc file in real time, identifies the parts with the out-of-tolerance real-time error, and displays the parts with the out-of-tolerance real-time error in a distinguishing manner.
4. The statistical analysis method of measurement data for noise immunity test according to claim 3, wherein the differential display is displayed in other color than black.
5. The statistical analysis method of measurement data for noise immunity test according to any one of claims 1 to 4, wherein the error depth analysis is to perform the following error statistics on the collected data, specifically including 18 names and corresponding calculation methods described in the following table:
6. the statistical analysis method for the measurement data of the immunity test according to claim 5, wherein the statistical analysis module automatically analyzes the uploaded telemetering and remote signaling data, judges the abnormal conditions in the processes of data sampling and data uploading in the process of the electromagnetic compatibility test, and reports the events.
7. The statistical analysis method of measurement data for noise immunity testing according to claim 6, characterized in that: the interface conversion device is further arranged, an RJ45 interface and an RS485 interface are arranged on the input side of the interface device, and an RJ45 interface is arranged on the output side of the interface device;
the interface of the IEC61850-MMS client is connected with the RJ45 interface at the input side of the interface device, the interface of the IEC60870-104 client is connected with the RS485 or RJ45 interface at the input side of the interface device, and the interface of the Modbus client is connected with the RJ45 interface at the input side of the interface device;
the RJ45 interface on the output side of the interface device is connected with the data statistical analysis module.
8. The statistical analysis method of measurement data for noise immunity testing according to claim 7, characterized in that: the data acquisition module is used for acquiring data and storing the data into the storage module.
9. Statistical analysis system of measured data for noise immunity testing using the statistical analysis method of data records according to any one of claims 1 to 8, characterized in that:
the data acquisition module is used for acquiring monitoring data in the electromagnetic compatibility test process and is provided with an IEC61850-MMS client, an IEC 60870-containing 104 client and a Modbus client, and the IEC61850-MMS client, the IEC 60870-containing 104 client and the Modbus client are in communication connection with tested equipment through an IEC61850-MMS protocol, an IEC60870-104 protocol and a Modbus protocol respectively;
and the data statistical analysis module is in communication connection with the data acquisition module, acquires the monitoring data of the data acquisition module, and performs error out-of-tolerance data identification display, error depth analysis and event report statistics on the monitoring data.
10. The statistical analysis system of measurement data for immunity testing according to claim 9, wherein: the interface conversion device is further arranged, an RJ45 interface and an RS485 interface are arranged on the input side of the interface device, and an RJ45 interface is arranged on the output side of the interface device;
the interface of the IEC61850-MMS client is connected with the RJ45 interface at the input side of the interface device, the interface of the IEC60870-104 client is connected with the RS485 or RJ45 interface at the input side of the interface device, and the interface of the Modbus client is connected with the RJ45 interface at the input side of the interface device;
the RJ45 interface on the output side of the interface device is connected with the data statistical analysis module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111276106.0A CN114034951A (en) | 2021-10-29 | 2021-10-29 | Measurement data statistical analysis method and system for noise immunity test |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111276106.0A CN114034951A (en) | 2021-10-29 | 2021-10-29 | Measurement data statistical analysis method and system for noise immunity test |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114034951A true CN114034951A (en) | 2022-02-11 |
Family
ID=80136073
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111276106.0A Pending CN114034951A (en) | 2021-10-29 | 2021-10-29 | Measurement data statistical analysis method and system for noise immunity test |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114034951A (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702015A (en) * | 2009-11-02 | 2010-05-05 | 浙江省计量科学研究院 | Radio frequency electromagnetic field radiation immunity experiment test device and test method for electric energy meter |
| CN102333031A (en) * | 2011-09-07 | 2012-01-25 | 江苏润和软件股份有限公司 | Device intelligent access system based on device adaptation technology, and method of the same |
| CN202221530U (en) * | 2011-10-21 | 2012-05-16 | 成都交大许继电气有限责任公司 | General communication device suitable for passenger dedicated line |
| CN105022020A (en) * | 2015-07-02 | 2015-11-04 | 国网山东省电力公司电力科学研究院 | RF electromagnetic field and radio immunity test system and method of electric energy meter |
| CN105116369A (en) * | 2015-09-09 | 2015-12-02 | 国网冀北电力有限公司电力科学研究院 | Radio frequency radiation disturbance rejection degree test apparatus and system |
| CN108919019A (en) * | 2018-09-28 | 2018-11-30 | 国网辽宁省电力有限公司电力科学研究院 | A kind of Application of Power Metering Instruments electromagnetic compatibility test system |
| CN109800498A (en) * | 2019-01-16 | 2019-05-24 | 国能日新科技股份有限公司 | A kind of photovoltaic plant data diagnosis system |
| US20190204467A1 (en) * | 2017-12-31 | 2019-07-04 | Power Monitors, Inc. | Method and Apparatus for a Cloud-Based Oil Well Monitoring System |
| CN110166970A (en) * | 2019-05-17 | 2019-08-23 | 国电南瑞科技股份有限公司 | A kind of comprehensive energy monitoring system and method |
| CN209590123U (en) * | 2019-03-04 | 2019-11-05 | 北京太格时代自动化系统设备有限公司 | Metro Stray Current Monitoring device |
| CN111412540A (en) * | 2020-04-20 | 2020-07-14 | 广州耐奇电气科技有限公司 | Heat accumulating type electric heating interactive system monitoring terminal |
| CN113074773A (en) * | 2020-01-03 | 2021-07-06 | 四方特变电工智能电气有限公司 | Intelligent non-electric quantity online monitoring device and method for mutual inductor |
| CN113329002A (en) * | 2021-05-20 | 2021-08-31 | 普天通信有限责任公司 | Internet of things data aggregation system |
-
2021
- 2021-10-29 CN CN202111276106.0A patent/CN114034951A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702015A (en) * | 2009-11-02 | 2010-05-05 | 浙江省计量科学研究院 | Radio frequency electromagnetic field radiation immunity experiment test device and test method for electric energy meter |
| CN102333031A (en) * | 2011-09-07 | 2012-01-25 | 江苏润和软件股份有限公司 | Device intelligent access system based on device adaptation technology, and method of the same |
| CN202221530U (en) * | 2011-10-21 | 2012-05-16 | 成都交大许继电气有限责任公司 | General communication device suitable for passenger dedicated line |
| CN105022020A (en) * | 2015-07-02 | 2015-11-04 | 国网山东省电力公司电力科学研究院 | RF electromagnetic field and radio immunity test system and method of electric energy meter |
| CN105116369A (en) * | 2015-09-09 | 2015-12-02 | 国网冀北电力有限公司电力科学研究院 | Radio frequency radiation disturbance rejection degree test apparatus and system |
| US20190204467A1 (en) * | 2017-12-31 | 2019-07-04 | Power Monitors, Inc. | Method and Apparatus for a Cloud-Based Oil Well Monitoring System |
| CN108919019A (en) * | 2018-09-28 | 2018-11-30 | 国网辽宁省电力有限公司电力科学研究院 | A kind of Application of Power Metering Instruments electromagnetic compatibility test system |
| CN109800498A (en) * | 2019-01-16 | 2019-05-24 | 国能日新科技股份有限公司 | A kind of photovoltaic plant data diagnosis system |
| CN209590123U (en) * | 2019-03-04 | 2019-11-05 | 北京太格时代自动化系统设备有限公司 | Metro Stray Current Monitoring device |
| CN110166970A (en) * | 2019-05-17 | 2019-08-23 | 国电南瑞科技股份有限公司 | A kind of comprehensive energy monitoring system and method |
| CN113074773A (en) * | 2020-01-03 | 2021-07-06 | 四方特变电工智能电气有限公司 | Intelligent non-electric quantity online monitoring device and method for mutual inductor |
| CN111412540A (en) * | 2020-04-20 | 2020-07-14 | 广州耐奇电气科技有限公司 | Heat accumulating type electric heating interactive system monitoring terminal |
| CN113329002A (en) * | 2021-05-20 | 2021-08-31 | 普天通信有限责任公司 | Internet of things data aggregation system |
Non-Patent Citations (4)
| Title |
|---|
| 刘建波;杨梅;李文强;马雪锋;闫红蕊;赵燕;: "电能表EMS在线测试系统的综合去耦网络研究", 计量学报, no. 1 * |
| 李冬梅;: "刍议电能表误差的影响因素与现场校验方法", 企业导报, no. 03 * |
| 梁新兴;柯进;余洪文;熊洋洋;: "电能表RS测试误差数据采集的上位机软件设计", 安全与电磁兼容, no. 06 * |
| 郑有余;赵玉;: "基于全站控制的光伏场快速一次调频控制系统研究", 电气工程学报, no. 02 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114430199B (en) | Cubical switchboard operation supervisory systems based on big data | |
| CN106787169B (en) | Method for diagnosing telemetering fault of transformer substation by using multiple data source comparison technology | |
| CN106405294B (en) | Portable power distribution product transmission calibrator and implementation test method thereof | |
| CN108010305B (en) | Self-diagnosis method for data acquisition fault of integrated energy management platform | |
| CN106921522B (en) | Networking information model detection device of intelligent substation network message recording and analyzing device | |
| CN110991037A (en) | Intelligent substation test simulation system based on SCD | |
| CN112467724A (en) | Low-voltage distribution network fault studying and judging method | |
| CN113298498A (en) | Management system based on industrial Internet of things platform | |
| CN112287548A (en) | Power distribution network real-time monitoring method and device based on broadband network | |
| CN114152896A (en) | Misalignment replacing system based on acquisition platform | |
| CN115856760A (en) | Dynamic verification system and method based on electric energy meter data information | |
| CN114034951A (en) | Measurement data statistical analysis method and system for noise immunity test | |
| CN113153262A (en) | Offshore oilfield accessible capacity evaluation method based on cable thermal characteristics | |
| CN109633332B (en) | Automatic regular inspection method for equipment in power system and fault recording device | |
| CN112269364A (en) | Fault positioning self-testing system and method | |
| CN113672658B (en) | Power equipment online monitoring error data identification method based on complex correlation coefficient | |
| CN111786462A (en) | Power grid information verification system and method based on multi-dimensional panoramic data | |
| CN111505374A (en) | Two-in-one metering device with mutual inspection and self-diagnosis functions and detection method | |
| CN115204654A (en) | Real-time monitoring equipment for line loss of power grid and detection system thereof | |
| CN108919155A (en) | A kind of communication means of equipment for monitoring power quality on-line monitoring and on-site proving | |
| CN113283510B (en) | Secondary equipment health condition analysis method based on full-service mixed data | |
| CN113933747A (en) | System and method for detecting grounding current of secondary circuit of voltage transformer | |
| CN114037104B (en) | Method and system for monitoring errors of direct current measuring device | |
| CN112415343A (en) | Intelligent assembly of multi-state-quantity configurable totally-enclosed gas combined electrical appliance | |
| JPS5943639A (en) | Monitor of intermittent failure of communication line |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |