CN114062867A - Sensor data processing module and transformer substation distributed monitoring system and method - Google Patents
Sensor data processing module and transformer substation distributed monitoring system and method Download PDFInfo
- Publication number
- CN114062867A CN114062867A CN202111346350.XA CN202111346350A CN114062867A CN 114062867 A CN114062867 A CN 114062867A CN 202111346350 A CN202111346350 A CN 202111346350A CN 114062867 A CN114062867 A CN 114062867A
- Authority
- CN
- China
- Prior art keywords
- sensor
- signal
- state
- equipment
- analog voltage
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 143
- 238000012545 processing Methods 0.000 title claims abstract description 84
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000005259 measurement Methods 0.000 claims abstract description 78
- 238000006243 chemical reaction Methods 0.000 claims abstract description 75
- 230000008447 perception Effects 0.000 claims abstract description 44
- 238000004364 calculation method Methods 0.000 claims description 59
- 230000009466 transformation Effects 0.000 claims description 56
- 238000004891 communication Methods 0.000 claims description 26
- 238000001914 filtration Methods 0.000 claims description 19
- 238000000605 extraction Methods 0.000 claims description 16
- 238000004422 calculation algorithm Methods 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 10
- 230000003321 amplification Effects 0.000 claims description 9
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 230000003139 buffering effect Effects 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 4
- 230000006870 function Effects 0.000 claims description 4
- 230000006855 networking Effects 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 2
- 238000003672 processing method Methods 0.000 claims description 2
- 238000002360 preparation method Methods 0.000 claims 1
- 238000009434 installation Methods 0.000 abstract description 13
- 238000010276 construction Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 10
- 230000008054 signal transmission Effects 0.000 description 9
- 230000001419 dependent effect Effects 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 230000004888 barrier function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004587 chromatography analysis Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000002604 ultrasonography Methods 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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1209—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using acoustic measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/502—Proximity
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Automation & Control Theory (AREA)
- Acoustics & Sound (AREA)
- Power Engineering (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a sensor data processing module, a transformer substation distributed monitoring system and a transformer substation distributed monitoring method, and belongs to the technical field of transformer substation monitoring. The existing monitoring wiring mode causes more and longer cables for connecting various state perception sensors, which brings inconvenience to installation, construction and debugging. According to the distributed monitoring system for the transformer substation, the I-shaped sensing unit is arranged for topology structure expansion, so that the state sensing sensor can be connected to the intelligent monitoring system for the state of the transformer substation equipment through the I-shaped sensing unit structure provided with the sensor measurement conversion circuit and the edge computing node. Meanwhile, the I-shaped sensing unit is arranged adjacent to the sensor and the monitored equipment to form a nearby data processing structure, so that the state of the monitored equipment can be acquired locally on the monitored equipment, the length of a sensor cable is greatly shortened, and the interference of an electromagnetic environment is effectively avoided.
Description
Technical Field
The invention relates to a sensor data processing module, a transformer substation distributed monitoring system and a transformer substation distributed monitoring method, and belongs to the technical field of transformer substation monitoring.
Background
The transformer substation is a main constituent unit in a national power grid, and the working state of main transformer equipment of the transformer substation is directly related to the safety, reliability and stability of the power grid, so that monitoring of the working state of each transformer equipment including a main transformer and a gis (gas Insulated substation) is one of the key points of research in the industry.
The conventional monitoring technique usually adopts a lumped system structure. According to the monitoring equipment object, the whole system is divided into a plurality of equipment monitoring systems such as a transformer monitoring system, a GIS monitoring system and a lightning protection insulation monitoring system. And within each equipment monitoring system, the subdivision is continued by the category of the sensor according to the state perception.
For example, transformer monitoring systems are further classified into oil chromatography monitoring systems, optical fiber temperature measuring systems, iron core monitoring systems, and the like. And selecting different types of state perception sensors according to the measurement requirements of each sub-monitoring system, such as an ultrahigh frequency partial discharge sensor, a high frequency partial discharge sensor, an ultrasonic partial discharge sensor, a mechanical vibration monitoring sensor, a grounding current sensor, a temperature sensor and the like. On the one hand, each sensor of each monitoring device not only requires a special control cabinet for measurement conversion and data processing, but also requires a long cable through a dedicated trunking to connect the above-mentioned state-sensing sensors to the corresponding control cabinet. And the measurement signals of the sensors are subjected to unified measurement conversion, signal processing, data acquisition and state monitoring in the control cabinet. On the other hand, the whole substation comprises various transformation equipment, and the equipment state monitoring systems also need additional control cabinets and cable connections to be coordinated.
Therefore, cables for connecting various state perception sensors are too many and long, and meanwhile, a large number of cabinets need to be arranged, so that inconvenience is brought to installation, construction and debugging. In addition, weak signals of each sensor are easily interfered by a complex electromagnetic environment of a transformer substation in a long cable signal transmission process, so that a large error or even a complete error result occurs in a measurement result, the judgment of the working state of equipment is influenced, and the structural mode directly limits the exertion of the sensing performance of the sensor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an I-shaped sensing unit which can be arranged adjacent to a sensor and monitored equipment to form a nearby data processing structure, so that the state of the monitored equipment can be known locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signal of the sensor is effectively prevented from being interfered by the complex electromagnetic environment of electrical equipment in the long-cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the larger error of a measuring result is avoided, and the sensor data processing module for exerting the sensing performance of the sensor is effectively improved.
The invention provides an I-shaped sensing unit capable of realizing distributed monitoring, so that a sensor can be accessed to an intelligent substation equipment state monitoring system through an I-shaped sensing unit structure provided with a sensor measurement conversion circuit and an edge calculation node; meanwhile, the I-shaped sensing unit, the adjacent sensors and the monitored equipment are arranged to form a nearby data processing structure, so that the state of the monitored equipment can be obtained locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signals of the sensors are effectively prevented from being interfered by the complex electromagnetic environment of electrical equipment in the long cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the large error of a measuring result is further avoided, the performance of the sensing performance of the sensors is effectively improved, the rapid interconnection and intercommunication among different monitoring equipment are realized, the installation space of an intelligent monitoring system of a transformer substation can be greatly saved, and the time required by field installation and debugging of the transformer substation is reduced.
In order to achieve one of the above objects, a first technical solution of the present invention is:
a sensor data processing module for a sensor, comprising a sensor,
arranging an I-shaped sensing unit which can be electrically connected with the sensor;
the I-shaped sensing unit can be arranged adjacent to the sensor and the monitored equipment to form a nearby data processing structure, and comprises a sensor measurement conversion circuit and an edge calculation node, wherein the edge calculation node is used for processing data of the sensor;
the sensor measurement conversion circuit is used for processing an original signal output by the sensor to convert the original signal into an analog voltage signal with a standard amplitude value and transmitting the analog voltage signal to the edge computing node;
the edge computing node is used for acquiring analog voltage signals, converting the analog voltage signals into sensor digital signals, extracting the working state information of the monitored equipment from the sensor digital signals, and obtaining the state of the monitored equipment locally.
Through continuous exploration and test, the I-shaped sensing unit capable of being electrically connected with the sensor is arranged and can be arranged adjacent to the sensor and the monitored equipment to form a nearby data processing structure, so that the state of the monitored equipment can be known locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signals of the sensors are effectively prevented from being interfered by the complex electromagnetic environment of electrical equipment in the long-cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the large error of a measurement result is avoided, the performance of the sensing performance of the sensor is effectively improved, and the scheme is simple, practical and feasible.
Furthermore, when the invention is applied to each sensor, the processes of signal processing, information extraction and the like required by the sensor are all completed locally in the form of edge calculation in the I-shaped sensing unit, and meanwhile, the I-shaped sensing unit can be accessed to a distributed monitoring network nearby without arranging a special control cabinet. The measurement conversion circuit and the edge calculation node can be conveniently arranged near the state perception sensor of the power transformation equipment, so that the length of a sensor cable is greatly shortened, and the field construction difficulty is reduced.
Furthermore, the invention can make the status sensing units in the distributed intelligent monitoring system equal and can relatively independently complete the established measurement task, so that a new sensing unit is added, the working status of the existing node in the system is not required to be modified, and the same is true when one sensing unit is deleted in the system. The type of the monitored power transformation equipment and the type of the state monitoring sensor of the power transformation equipment can be not distinguished, and all the state perception sensors of all the power transformation equipment can be directly connected into the state monitoring system of the whole power transformation station equipment in the same mode. In the equipment state monitoring system of the full power transformation station, the state signal monitoring platform and various state sensing units of various power transformation equipment belong to a unified level, so the system structure constructed by adopting the method is simpler.
As a preferable technical measure:
the sensor measurement conversion circuit comprises an impedance converter, a low noise amplifier, an envelope detector and a voltage amplifier,
the method is used for carrying out impedance conversion, signal filtering, signal amplification and signal detection processing on an original signal, obtaining an analog voltage signal with standard impedance and amplitude characteristics and realizing the same standard output of the signal.
As a preferable technical measure:
the edge computing node comprises a double-path high-speed AD converter unit with standard impedance and amplitude characteristics, an FPGA high-speed data acquisition unit, a DDR3 high-speed data buffer unit, an MCU microprocessor unit and a distributed measurement and control network connection and communication component unit, and is used for carrying out digital signal processing on an analog voltage signal locally on monitored equipment to obtain a sensor digital signal and sensor digital signal characteristic parameter information, and meanwhile, the sensor digital signal can be directly displayed and used by other nodes or a state signal monitoring platform;
the two-way high-speed AD converter unit is used for carrying out high-speed data acquisition on an analog voltage signal which is input to the edge calculation node and has standard impedance and amplitude characteristics under the control of the FPGA high-speed data acquisition unit;
the DDR3 high-speed data buffer unit is used for buffering and storing the collected analog voltage signals and can be read by the MCU microprocessor as required;
and the MCU microprocessor is used for carrying out digital signal processing and characteristic information extraction on the analog voltage signal.
Further, all edge compute nodes may be connected using the same hardware independent of sensor type and different software dependent on sensor type, while the hardware of the sensor measurement conversion circuit is dependent on the specific sensor type, and different sensors need to be configured with different measurement conversion circuits. The signals of the state perception sensors with different characteristics are converted into analog voltage signals with standard amplitude and impedance characteristics through a measurement conversion circuit, so that different sensors can be connected into a state monitoring system of a total substation through edge computing nodes with the same hardware structure.
The I-shaped sensing units can directly connect different types of transformer equipment state monitoring sensors produced by different manufacturers together, break through technical barriers among different monitoring system manufacturers, form an intelligent transformer equipment state sensing monitoring system, perform real-time online monitoring on each transformer equipment of a transformer substation, and alarm abnormal states in cooperation with alarm signals and the like.
In order to achieve one of the above objects, a second technical solution of the present invention is:
a distributed monitoring system of a transformer substation is provided with at least one state perception sensor which is arranged on a transformer device;
the state perception sensor is used for perceiving the state of the substation equipment of the transformer substation;
the state perception sensor is electrically connected with an I-shaped perception unit;
the I-shaped sensing unit is arranged adjacent to the transformer equipment of the transformer substation and the state sensing sensor to form a nearby data processing structure, comprises a sensor measurement conversion circuit and an edge computing node and is used for processing original data of the state sensing sensor to realize state monitoring of the transformer equipment;
the sensor measurement conversion circuit is used for processing an original signal output by the state perception sensor to be converted into an analog voltage signal with a standard amplitude value and transmitting the analog voltage signal to the edge computing node;
the edge calculation node acquires data of the analog voltage signal in an edge calculation mode to obtain a sensor digital signal, extracts working state information of the power transformation equipment from the sensor digital signal, and realizes that the state sensing and monitoring of the power transformation equipment can be known locally on the power transformation equipment.
Through continuous exploration and tests, the H-shaped sensing unit is arranged to expand the topological structure, and the technical bias of the traditional transformer substation cabinet type centralized monitoring system is broken through. The invention enables the state perception sensor to be accessed into the intelligent substation equipment state monitoring system through an I-shaped perception unit structure provided with the sensor measurement conversion circuit and the edge calculation node.
Meanwhile, the I-shaped sensing unit, the adjacent sensors and the monitored equipment are arranged to form a nearby data processing structure, so that the state of the monitored equipment can be obtained locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signals of the sensors are effectively prevented from being interfered by the complex electromagnetic environment of the electrical equipment in the long cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the large error of a measuring result is further avoided, the performance of the sensing performance of the sensors is effectively improved, the rapid interconnection and intercommunication among different monitoring equipment are realized, the installation space of an intelligent monitoring system of a transformer substation can be greatly saved, the time required by field installation and debugging is reduced, and the I-shaped sensing unit is expected to become one of the future development directions of the intelligent monitoring system of the transformer substation.
Furthermore, the processes of signal processing, information extraction and the like required by the sensor are completed locally in the I-shaped sensing unit in an edge calculation mode, and meanwhile, the I-shaped sensing unit can be accessed to a distributed monitoring network nearby without arranging a special control cabinet. Meanwhile, the measurement conversion circuit and the edge calculation node can be conveniently arranged near the state perception sensor of the power transformation equipment, so that the length of a sensor cable is greatly shortened, and the field construction difficulty is reduced.
Furthermore, the invention can make the status sensing units in the distributed intelligent monitoring system equal and can relatively independently complete the established measurement task, so that a new sensing unit is added, the working status of the existing node in the system is not required to be modified, and the same is true when one sensing unit is deleted in the system. The type of the monitored power transformation equipment and the type of the state monitoring sensor of the power transformation equipment can be not distinguished, and all the state perception sensors of all the power transformation equipment can be directly connected into the state monitoring system of the whole power transformation station equipment in the same mode. In the equipment state monitoring system of the full power transformation station, the state signal monitoring platform and various state sensing units of various power transformation equipment belong to a unified level, so the system structure constructed by adopting the method is simpler.
As a preferable technical measure:
the sensor measurement conversion circuit comprises an impedance conversion circuit, a signal filtering circuit, a signal amplifying circuit, a signal detecting circuit and an output stage impedance conversion circuit, and is used for performing impedance conversion, signal filtering, signal amplification and signal detecting processing on an original signal, obtaining an analog voltage signal with standard impedance and amplitude characteristics, and realizing the same standard output of the signal.
As a preferable technical measure:
the edge computing node at least comprises a double-path high-speed AD converter unit with standard impedance and amplitude characteristics, an FPGA high-speed data acquisition unit, a DDR3 high-speed data buffer unit, an MCU (microprogrammed control unit) microprocessor unit and a distributed measurement and control network connection and communication component unit, and is used for carrying out digital signal processing on an analog voltage signal locally on the power transformation equipment to obtain a sensor digital signal and sensor digital signal characteristic parameter information, and meanwhile, the sensor digital signal can be directly displayed and used by other nodes or a state signal monitoring platform;
the two-way high-speed AD converter unit is used for carrying out high-speed data acquisition on an analog voltage signal which is input to the edge calculation node and has standard impedance and amplitude characteristics under the control of the FPGA high-speed data acquisition unit;
the DDR3 high-speed data buffer unit is used for buffering and storing the collected analog voltage signals and can be read by the MCU microprocessor as required;
the MCU microprocessor is used for carrying out digital signal processing and characteristic information extraction on the analog voltage signal;
the distributed measurement and control network connection and communication component unit is provided with a communication network and is used for connecting each edge computing node with a computer in the state signal monitoring platform to form a distributed monitoring system.
As a preferable technical measure:
the state perception sensor is one or more of a ultrahigh frequency partial discharge sensor, a high frequency partial discharge sensor, an ultrasonic partial discharge sensor, a mechanical vibration monitoring sensor, a grounding current sensor and a temperature sensor;
the state signal monitoring platform comprises a computer with a networking communication function and a state information display human-computer interaction interface thereof;
the communication network comprises wired or wireless communication networks such as an industrial field bus, an RS485 bus, a TCP/IP Ethernet, Bluetooth, ZigBee, WIFI and the like.
In order to achieve one of the above objects, a third technical solution of the present invention is:
a distributed monitoring method for a transformer substation,
applying a substation distributed monitoring system as described above,
which comprises the following steps:
firstly, mounting various state perception sensors on power transformation equipment to perceive state information of the power transformation equipment and obtain original signals of the sensors;
secondly, the original signal in the first step is converted into an analog voltage signal with standard amplitude after being subjected to impedance conversion, signal filtering, signal amplification and signal detection processing through a sensor measurement conversion circuit, so that the same standard output of the signal is realized;
thirdly, constructing an edge calculation node, carrying out data acquisition on the analog voltage signal in the second step, converting to obtain a sensor digital signal, and extracting the working state information of the monitored equipment from the sensor digital signal locally in the power transformation equipment in an edge calculation mode;
and fourthly, transmitting the data in the third step to a state signal monitoring platform through network communication to form a distributed intelligent monitoring network, so as to realize effective monitoring on the power transformation equipment.
As a preferable technical measure:
in the second step, the data processing method of the sensor measurement conversion circuit comprises the following steps:
according to the characteristics of the sensor digital signal, filtering, detecting and denoising the original signal to obtain an accurate sensor digital signal waveform;
in the third step, the data acquisition and processing mode of the edge computing node is as follows:
carrying out high-speed data acquisition on a standard analog voltage signal, and converting to obtain a digital signal waveform of the sensor; calculating characteristic parameter information capable of reflecting the actual working state of the power transformation equipment according to the obtained sensor digital signal waveform through a characteristic calculation algorithm;
all the processing links are completed locally at the nodes, and the sensor digital signals and the sensor digital signal characteristic parameter information provided by the edge computing nodes can be directly displayed and used by other nodes or a state signal monitoring platform.
Through continuous exploration and tests, the H-shaped sensing unit is arranged to expand the topological structure, and the technical bias of the traditional transformer substation cabinet type centralized monitoring system is broken through. The invention enables the state perception sensor to be accessed into the intelligent substation equipment state monitoring system through an I-shaped perception unit structure provided with the sensor measurement conversion circuit and the edge calculation node.
Meanwhile, the I-shaped sensing unit, the adjacent sensors and the monitored equipment are arranged to form a nearby data processing structure, so that the state of the monitored equipment can be obtained locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signals of the sensors are effectively prevented from being interfered by the complex electromagnetic environment of the electrical equipment in the long cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the large error of a measuring result is further avoided, the performance of the sensing performance of the sensors is effectively improved, the rapid interconnection and intercommunication among different monitoring equipment are realized, the installation space of an intelligent monitoring system of a transformer substation can be greatly saved, the time required by field installation and debugging is reduced, and the I-shaped sensing unit is expected to become one of the future development directions of the intelligent monitoring system of the transformer substation.
The invention firstly installs various state sensing sensors on the power transformation equipment to sense the measured physical quantity and output the original signals of the sensors, the signal is converted into a standard analog voltage signal after being processed by a sensor measurement conversion circuit through impedance conversion, signal filtering, signal amplification, signal detection and the like, then the edge computing node carries out data acquisition on the standard voltage signal to obtain a sensor digital signal, and the sensor digital signal is local at the edge computing node, the method comprises the steps that information corresponding to the working state of monitored equipment is extracted from sensor signals in an edge calculation mode, each edge calculation node and a computer in a state signal monitoring platform can be connected together in a network communication mode to form a distributed intelligent monitoring system, and the edge calculation nodes share the acquired sensor signals and the working state information of the monitored equipment in the intelligent monitoring system for the state of the substation equipment.
Further, with respect to conventional systems, all edge compute nodes of the present invention may be connected using the same hardware independent of sensor type and different software dependent on sensor type, while the hardware of the sensor measurement switching circuit is dependent on the specific sensor type, and different sensors may need to be configured with different measurement switching circuits. The signals of the state perception sensors with different characteristics are converted into analog voltage signals with standard amplitude and impedance characteristics through a measurement conversion circuit, so that different sensors can be connected into a state monitoring system of a total substation through edge computing nodes with the same hardware structure.
Therefore, the invention can break through the product technology barriers among different manufacturers, realize the rapid interconnection and intercommunication among different monitoring devices, greatly save the installation space of the intelligent monitoring system of the transformer substation, reduce the time required by field installation and debugging, and is expected to become one of the future development directions of the intelligent monitoring system of the transformer substation.
As a preferable technical measure:
the method for acquiring the high-speed data of the standard analog voltage signal comprises the following specific steps:
the edge computing node carries out high-speed data acquisition on a sensor analog voltage signal which is input to the edge computing node and has standard impedance and amplitude characteristics under the control of the FPGA high-speed data acquisition unit through the double-path high-speed AD converter unit;
the method for acquiring the digital signal waveform specifically comprises the following steps:
the MCU microprocessor unit of the edge computing node firstly reads analog-to-digital conversion data output by the double-path high-speed AD conversion unit from the DDR3 high-speed data buffer unit;
then, filtering and detecting the analog-to-digital conversion data, and removing abnormal values to obtain accurate sensor digital signal waveforms;
then the MCU configures a related key parameter analysis algorithm according to the attribute of the tested equipment, and further analyzes the waveform of the sensor digital signal;
the calculation method of the characteristic parameter information specifically comprises the following steps:
the peak value of the partial discharge waveform usually represents the intensity of instantaneous partial discharge, the energy of the partial discharge waveform usually represents the energy released by the partial discharge phenomenon, and the time when the partial discharge occurs also represents the correlation between the partial discharge phenomenon and a 50Hz power frequency signal, so that an extraction algorithm of characteristic parameter information is configured;
calculating to obtain waveform peak values, peak phase values, discharge times per second, waveform mean values, 50Hz correlation, 100Hz correlation, rise time and energy characteristic parameters contained in partial discharge signal waveforms through an extraction algorithm;
the high-speed data acquisition method, the digital signal waveform acquisition method and the characteristic parameter information calculation method are all completed in the MCU, so that the information required by the state perception of the local power transformation equipment is acquired.
Compared with the prior art, the invention has the following beneficial effects:
through continuous exploration and test, the I-shaped sensing unit capable of being electrically connected with the sensor is arranged and can be arranged adjacent to the sensor and the monitored equipment to form a nearby data processing structure, so that the state of the monitored equipment can be known locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signals of the sensors are effectively prevented from being interfered by the complex electromagnetic environment of electrical equipment in the long-cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the large error of a measurement result is avoided, the performance of the sensing performance of the sensor is effectively improved, and the scheme is simple, practical and feasible.
Furthermore, when the invention is applied to each sensor, the processes of signal processing, information extraction and the like required by the sensor are all completed locally in the form of edge calculation in the I-shaped sensing unit, and meanwhile, the I-shaped sensing unit can be accessed to a distributed monitoring network nearby without arranging a special control cabinet. The measurement conversion circuit and the edge calculation node can be conveniently arranged near the state perception sensor of the power transformation equipment, so that the length of a sensor cable is greatly shortened, and the field construction difficulty is reduced.
Furthermore, the invention can make the status sensing units in the distributed intelligent monitoring system equal and can relatively independently complete the established measurement task, so that a new sensing unit is added, the working status of the existing node in the system is not required to be modified, and the same is true when one sensing unit is deleted in the system. The type of the monitored power transformation equipment and the type of the state monitoring sensor of the power transformation equipment can be not distinguished, and all the state perception sensors of all the power transformation equipment can be directly connected into the state monitoring system of the whole power transformation station equipment in the same mode. In the equipment state monitoring system of the full power transformation station, the state signal monitoring platform and various state sensing units of various power transformation equipment belong to a unified level, so the system structure constructed by adopting the method is simpler.
Drawings
FIG. 1 is a view showing a structure of an I-shaped sensing unit according to the present invention;
FIG. 2 is a schematic diagram of the operation of an edge compute node of the present invention;
FIG. 3 is a block diagram of an architecture of a distributed monitoring system of the present invention;
FIG. 4 is a schematic diagram of the operating principle and the module structure of the ultrahigh frequency partial discharge sensor according to the present invention;
fig. 5 is a schematic diagram of the working principle of the present invention applied to an ultrasonic partial discharge sensor and the module structure thereof.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
On the contrary, the invention is intended to cover alternatives, modifications, equivalents and alternatives which may be included within the spirit and scope of the invention as defined by the appended claims. Furthermore, in the following detailed description of the present invention, certain specific details are set forth in order to provide a better understanding of the present invention. It will be apparent to one skilled in the art that the present invention may be practiced without these specific details.
As shown in fig. 1, a specific embodiment of the sensor data processing module of the present invention:
a sensor data processing module for a sensor, comprising a sensor,
arranging an I-shaped sensing unit which can be electrically connected with the sensor;
the I-shaped sensing unit can be arranged adjacent to the sensor and the monitored equipment to form a nearby data processing structure, and comprises a sensor measurement conversion circuit and an edge calculation node, wherein the edge calculation node is used for processing data of the sensor;
the sensor measurement conversion circuit is used for processing an original signal output by the sensor to convert the original signal into an analog voltage signal with a standard amplitude value and transmitting the analog voltage signal to the edge computing node;
the edge calculation node (edge calculation intelligent node) is used for acquiring an analog voltage signal, converting the analog voltage signal into a sensor digital signal, extracting the working state information of the monitored equipment from the sensor digital signal, and acquiring the state of the monitored equipment locally by the monitored equipment.
Through continuous exploration and test, the I-shaped sensing unit capable of being electrically connected with the sensor is arranged and can be arranged adjacent to the sensor and the monitored equipment to form a nearby data processing structure, so that the state of the monitored equipment can be known locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signals of the sensors are effectively prevented from being interfered by the complex electromagnetic environment of electrical equipment in the long-cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the large error of a measurement result is avoided, the performance of the sensing performance of the sensor is effectively improved, and the scheme is simple, practical and feasible.
The analog-to-digital converted data is subjected to digital signal processing locally at the edge compute node. On one hand, according to the characteristics of the sensor signal, digital signal processing such as filtering, detection, denoising and the like is carried out on the original sensor signal to obtain an accurate sensor digital signal waveform. And on the other hand, signal characteristic parameters such as peak value, effective value, falling time, rising time, energy, signal dominant frequency and the like are obtained by calculating the obtained sensor digital signal waveform through a characteristic calculation algorithm. All the processing links are completed locally at the nodes, and the sensor signals provided by the edge computing nodes and the sensor signal characteristic parameter information are processed without secondary processing and can be directly displayed and used by other nodes or a state signal monitoring platform.
The invention relates to a specific embodiment of a sensor measurement conversion circuit, which comprises the following steps:
the sensor measurement conversion circuit firstly carries out impedance conversion, signal filtering, signal amplification, signal detection and other processing on an original signal of an original sensor, finally unifies the signal form to obtain a voltage signal with standard impedance and amplitude characteristics, and finally accesses an edge calculation node to carry out high-speed data acquisition.
As shown in fig. 2, an embodiment of the edge computing node of the present invention:
on one hand, the edge computing node (edge computing intelligent node) can carry out high-speed data acquisition on a standard voltage signal to obtain a digital signal waveform of the sensor, and then characteristic parameter information such as a peak value, a falling time, a main frequency and the like of the actual working state of the projection equipment is extracted from the digital signal waveform. On the other hand, the edge computing node can be connected with other edge intelligent computing nodes and computers in the state signal monitoring platform through network communication to jointly form a state monitoring system. The sensor signals and the characteristic parameter information collected by the edge computing nodes are shared in the state monitoring system, and can be uniformly displayed in the state signal monitoring platform.
All edge compute nodes may be connected using the same hardware independent of sensor type and different software dependent on sensor type, while the hardware of the sensor measurement switching circuit is dependent on the specific sensor type, and different sensors need to be configured with different measurement switching circuits. The signals of the state perception sensors with different characteristics are converted into analog voltage signals with standard amplitude and impedance characteristics through a measurement conversion circuit, so that different sensors can be connected into a state monitoring system of a total substation through edge computing nodes with the same hardware structure.
Further, the voltage signals V1 and V2 with standard impedance and magnitude output characteristics shown in FIG. 2 are derived from the sensor measurement converting circuit described in the present invention, including but not limited to the VHF partial discharge sensor measurement converting circuit shown in FIG. 3.
The edge computing node comprises a two-way high-speed AD (analog-digital) converter unit with standard impedance and amplitude characteristics, an FPGA (programmable gate array) high-speed data acquisition unit, a DDR3 (double data rate dynamic random access memory) high-speed data buffer unit, an MCU (microprogrammed control unit) microprocessor unit and a distributed measurement and control network connection and communication component unit.
The high-speed AD converter unit can carry out high-speed data acquisition on a sensor measurement conversion signal which is input to the edge calculation node and has standard impedance and amplitude characteristics under the control of the FPGA high-speed data acquisition unit, the acquired data is firstly buffered and stored through the DDR3 high-speed data buffer unit and can be read by the MCU microprocessor as required, and edge calculation processing is carried out in the MCU microprocessor. The edge calculation processing comprises two aspects of digital signal processing and characteristic information extraction. The MCU first reads the analog-to-digital conversion data output from the high-speed AD conversion unit from the DDR3, and performs basic digital signal processing such as filtering, detecting, and removing abnormal values to obtain an accurate sensor digital signal waveform. And then the MCU configures a related key parameter analysis algorithm according to the attribute of the tested equipment, and further analyzes the digital signal waveform of the sensor. For example, the peak value of the partial discharge waveform often represents the intensity of instantaneous partial discharge, the energy of the partial discharge waveform often represents the energy released by the partial discharge phenomenon, and the time when the partial discharge occurs also represents the correlation between the partial discharge phenomenon and the 50Hz power frequency signal, so that extraction algorithms of key parameters such as the peak value, the energy, the discharge time and the like are respectively configured. Characteristic parameters such as waveform peak value, peak value phase, discharge frequency per second, waveform mean value, 50Hz correlation, 100Hz correlation, rise time, energy and the like contained in the partial discharge signal waveform can be obtained through analysis of the edge calculation node, the characteristic parameters extracted through the node can be directly used without secondary processing, edge calculation algorithms required by various sensors are all realized in the MCU microprocessor, and information required by state perception of the power transformation equipment can be directly obtained through edge calculation.
The working principle of the edge calculation node corresponding to the ultrahigh frequency partial discharge sensor can be used, the processes of analog signal processing, digital signal processing, information extraction and the like required by the ultrahigh frequency partial discharge sensor are all completed in the I-shaped sensing unit structure and are irrelevant to the state signal monitoring platform and other sensing units, so that in the full-substation state monitoring system, the positions of all the sensing units are equal, and the respective established measurement tasks can be completed relatively independently. When the ultrahigh frequency partial discharge sensor is added into the system, the sensor is only required to be connected into the power transformation equipment state monitoring system through the I-shaped state sensing unit structure, and the existing other sensors and state sensing unit structures in the system are not required to be modified.
Sensor signals and sensor characteristic parameter information acquired locally by the edge computing nodes can be transmitted to a communication network through the distributed measurement and control network connection and the communication component unit to be shared with other equipment. Therefore, the state signal monitoring platform connected in the communication network can obtain the real-time state monitoring information of each sensor in each transformer equipment, and the intelligent monitoring of the working state of the transformer equipment of the whole transformer substation is realized.
As shown in fig. 3, a specific embodiment of the monitoring system of the present invention:
a distributed monitoring system of a transformer substation is provided with at least one state perception sensor which is arranged on a transformer device;
the state perception sensor is used for perceiving the state of the substation equipment of the transformer substation;
the state perception sensor is electrically connected with an I-shaped perception unit;
the I-shaped sensing unit is arranged adjacent to the transformer equipment of the transformer substation and the state sensing sensor to form a nearby data processing structure, comprises a sensor measurement conversion circuit and an edge computing node and is used for processing original data of the state sensing sensor to realize state monitoring of the transformer equipment;
the sensor measurement conversion circuit is used for processing an original signal output by the state perception sensor to be converted into an analog voltage signal with a standard amplitude value and transmitting the analog voltage signal to the edge computing node;
the edge calculation node acquires data of the analog voltage signal in an edge calculation mode to obtain a sensor digital signal, extracts working state information of the power transformation equipment from the sensor digital signal, and realizes that the state sensing and monitoring of the power transformation equipment can be known locally on the power transformation equipment.
Through continuous exploration and tests, the H-shaped sensing unit is arranged to expand the topological structure, and the technical bias of the traditional transformer substation cabinet type centralized monitoring system is broken through. The invention enables the state perception sensor to be accessed into the intelligent substation equipment state monitoring system through an I-shaped perception unit structure provided with the sensor measurement conversion circuit and the edge calculation node.
Meanwhile, the I-shaped sensing unit, the adjacent sensors and the monitored equipment are arranged to form a nearby data processing structure, so that the state of the monitored equipment can be obtained locally on the monitored equipment, the length of a sensor cable is greatly shortened, the weak signals of the sensors are effectively prevented from being interfered by the complex electromagnetic environment of the electrical equipment in the long cable signal transmission process, the phenomenon that the working state of the equipment is judged due to the large error of a measuring result is further avoided, the performance of the sensing performance of the sensors is effectively improved, the rapid interconnection and intercommunication among different monitoring equipment are realized, the installation space of an intelligent monitoring system of a transformer substation can be greatly saved, the time required by field installation and debugging is reduced, and the I-shaped sensing unit is expected to become one of the future development directions of the intelligent monitoring system of the transformer substation.
The invention adopts an I-shaped sensing unit topological structure for expansion, which is obviously different from the traditional transformer substation cabinet type centralized monitoring system. The state perception sensor is connected to the intelligent substation equipment state monitoring system through an I-shaped perception unit structure consisting of a sensor measurement conversion circuit and an edge calculation node,
a specific embodiment of the monitoring method of the invention comprises the following steps:
a distributed monitoring method for a transformer substation,
applying a substation distributed monitoring system as described above,
which comprises the following steps:
firstly, mounting various state perception sensors on power transformation equipment to perceive state information of the power transformation equipment and obtain original signals of the sensors;
secondly, the original signal in the first step is converted into an analog voltage signal with standard amplitude after being subjected to impedance conversion, signal filtering, signal amplification and signal detection processing through a sensor measurement conversion circuit, so that the same standard output of the signal is realized;
thirdly, constructing an edge calculation node, carrying out data acquisition on the analog voltage signal in the second step, converting to obtain a sensor digital signal, and extracting the working state information of the monitored equipment from the sensor digital signal locally in the power transformation equipment in an edge calculation mode;
and fourthly, transmitting the data in the third step to a state signal monitoring platform through network communication to form a distributed intelligent monitoring network, so as to realize effective monitoring on the power transformation equipment.
Meanwhile, the edge computing node shares the acquired sensor signals and the working state information of the monitored equipment in the intelligent monitoring system of the substation equipment state.
Obviously, the communication network according to the present invention may include, but is not limited to, an industrial field bus, an RS485 bus, a TCP/IP ethernet, a bluetooth, a ZigBee, a WIFI, and other wired or wireless communication networks.
The following describes a specific implementation method of the i-shaped sensing unit topology structure of the transformer equipment state monitoring by taking the most commonly used ultrahigh frequency partial discharge sensor and ultrasonic partial discharge sensor as examples, and referring to this method, those skilled in the art can easily understand the implementation method of the i-shaped sensing unit structure of other transformer equipment state sensing sensors and the system construction method thereof.
As shown in fig. 4, a specific embodiment of the present invention applied to the uhf partial discharge sensor is as follows:
the ultrahigh frequency partial discharge sensor measurement conversion circuit mainly has the function of converting one or more ultrahigh frequency partial discharge sensor signals connected into the circuit into voltage signals with standard impedance and amplitude output characteristics, so that data acquisition can be carried out through a unified analog-to-digital conversion circuit.
After the ultrahigh frequency partial discharge sensor S1 installed on the power transformation equipment is connected with the sensor measurement conversion circuit, firstly, the output impedance of the sensor signal and the input impedance of the low-noise amplifier are matched through an impedance transformation circuit, then the partial discharge signal of ultrahigh frequency outputted by the sensor is amplified by a low-noise amplifier, the original signal of the sensor of microvolt or millivolt level is amplified to a voltage signal of millivolt or volt level, then the envelope detection processing is carried out on the signal, the signal output by the envelope detection circuit can reach millivolt or volt level, the signal is again amplified by a voltage amplifier to form a voltage signal with a standard amplitude, for example a voltage signal varying by + -5V, the signal passes through an impedance transformer again, and finally a voltage signal V1 with standard impedance and amplitude output characteristics is obtained.
Obviously, the circuit can be easily expanded into multiple paths to access more sensors. However, considering the characteristic that the topological structure of the I-shaped sensing unit needs to be arranged nearby near the monitored equipment, it is meaningless to expand too many paths, so that generally 2 paths can be used.
As shown in fig. 5, a specific embodiment of the present invention applied to an ultrasonic partial discharge sensor:
the ultrasonic partial discharge sensor S1 installed on the power transformation equipment is directly connected to the sensor measurement conversion circuit. The sensitive element of the ultrasonic partial discharge sensor is a dielectric with piezoelectric effect for converting acoustic signals accompanied by partial discharge phenomena into electric charge signals. In the measurement conversion circuit, firstly, a weak charge signal output by the sensor is converted into a voltage signal through a charge amplifier, and meanwhile, a high-impedance output of the sensor is converted into a low-impedance output. In order to effectively detect the partial discharge ultrasonic signals, frequency selection processing is carried out through a band-pass filter. At this time, the amplitude of the voltage signal is still small, and the energy is low, so that the voltage signal is amplified by a low-noise amplifier with certain gain. On one hand, the amplitude of the signal can be regulated to be converted into a standard voltage signal which changes within +/-5V, and on the other hand, the signal can be converted into a signal output with 50-ohm standard impedance through impedance conversion so as to meet the requirement of directly accessing a subsequent acquisition requirement circuit of the high-speed ADC.
Similarly, the measurement switching principle can easily be extended to multiple paths to access more ultrasound transducers. However, in practical application, the installation positions of the ultrasonic sensors are relatively dispersed, and the measurement conversion circuit can be arranged nearby the sensors, so that the requirement for monitoring the actual working state can be met by two circuits without connecting too many sensors to the same measurement conversion circuit.
The working principle of the edge calculation node corresponding to the ultrasonic partial discharge sensor is shown in fig. 4. The high-speed AD converter unit can carry out high-speed data acquisition on a sensor measurement conversion signal with standard impedance and amplitude characteristics input to the edge calculation node under the control of the FPGA high-speed data acquisition device, the acquired data is firstly buffered and stored through the DDR3 high-speed data buffer unit and can be read by the MCU microprocessor as required, and edge calculation processing is carried out in the MCU microprocessor. The edge calculation processing comprises two aspects of digital signal processing and characteristic information extraction. The MCU first reads the analog-to-digital conversion data output from the high-speed AD conversion unit from the DDR3, and performs basic digital signal processing such as filtering, detecting, and removing abnormal values to obtain an accurate sensor digital signal waveform. And then the MCU configures a related key parameter analysis algorithm according to the attribute of the tested equipment, and further analyzes the digital signal waveform of the sensor.
The original signal of the ultrasonic partial discharge sensor is converted into a voltage signal with standard amplitude characteristics and impedance characteristics after being preprocessed by a sensor measurement conversion circuit. Therefore, the edge calculation node corresponding to the ultrasonic partial discharge sensor can have the same hardware structure as the edge calculation node corresponding to the ultrahigh frequency partial discharge sensor. Voltage signals V1 and V2 having standard impedance and magnitude output characteristics are shown from a transducer measurement switching circuit according to the present invention, including but not limited to the ultrasonic partial discharge transducer measurement switching circuit shown in FIG. 5.
The edge calculation node performs basic digital signal processing on the signal, eliminates abnormal values, performs digital frequency-selective filtering and the like to obtain an accurate ultrasonic partial discharge signal, and extracts characteristic parameters such as a peak value, an average value, a rising time, a duration time, energy, ringing count and the like in the ultrasonic partial discharge signal. Different from an edge calculation algorithm required by a signal of an ultrahigh frequency partial discharge sensor, the edge calculation node corresponding to the ultrasonic partial discharge sensor can also analyze key characteristic parameters such as duration, ringing count and the like according to the characteristics of the signal of the ultrasonic partial discharge sensor.
The edge computing node shares the acquired ultrasonic partial discharge sensor signal and the sensor characteristic information in the state monitoring system through network communication, so that the sensor data gathered to the state monitoring system can be seen on the state signal monitoring platform. The various signal processing and information extraction processes required by the sensor are completed in the measurement conversion circuit and the edge calculation node corresponding to the sensor, and are not related to a state signal monitoring platform and other sensing units, so that the ultrasonic partial discharge sensing units can be conveniently added or reduced in the system.
Obviously, the ultrasonic partial discharge sensor completes networking measurement in the same way as the ultrahigh frequency partial discharge sensor, namely, different sensors are connected to the substation equipment state monitoring system through the same I-shaped state sensing basic unit. Through the I-shaped sensing unit structure, various sensor measuring signals are unified in a data acquisition link of the bottom layer of the system, various state sensing sensors of various devices can be directly connected, the types of the devices monitored by the sensors and the characteristics of the sensors do not need to be considered, and therefore the working state acquisition and health state monitoring of all devices in the whole power transformation can be realized.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A sensor data processing module, characterized in that,
arranging an I-shaped sensing unit which can be electrically connected with the sensor;
the I-shaped sensing unit can be arranged adjacent to the sensor and the monitored equipment to form a nearby data processing structure, and comprises a sensor measurement conversion circuit and an edge calculation node, wherein the edge calculation node is used for processing data of the sensor;
the sensor measurement conversion circuit is used for processing an original signal output by the sensor to convert the original signal into an analog voltage signal with a standard amplitude value and transmitting the analog voltage signal to the edge computing node;
the edge computing node is used for acquiring analog voltage signals, converting the analog voltage signals into sensor digital signals, extracting the working state information of the monitored equipment from the sensor digital signals, and obtaining the state of the monitored equipment locally.
2. A sensor data processing module as claimed in claim 1,
the sensor measurement conversion circuit comprises an impedance converter, a low-noise amplifier, an envelope detector and a voltage amplifier, and is used for performing impedance conversion, signal filtering, signal amplification and signal detection processing on an original signal, obtaining an analog voltage signal with standard impedance and amplitude characteristics, and realizing the same standard output of the signal.
3. A sensor data processing module as claimed in claim 1,
the edge computing node comprises a double-path high-speed AD converter unit with standard impedance and amplitude characteristics, an FPGA high-speed data acquisition unit, a DDR3 high-speed data buffer unit, an MCU microprocessor unit and a distributed measurement and control network connection and communication component unit, and is used for carrying out digital signal processing on an analog voltage signal locally on monitored equipment to obtain a sensor digital signal and sensor digital signal characteristic parameter information, and meanwhile, the sensor digital signal can be directly displayed and used by other nodes or a state signal monitoring platform;
the two-way high-speed AD converter unit is used for carrying out high-speed data acquisition on an analog voltage signal which is input to the edge calculation node and has standard impedance and amplitude characteristics under the control of the FPGA high-speed data acquisition unit;
the DDR3 high-speed data buffer unit is used for buffering and storing the collected analog voltage signals and can be read by the MCU microprocessor as required;
and the MCU microprocessor is used for carrying out digital signal processing and characteristic information extraction on the analog voltage signal.
4. A distributed monitoring system of a transformer substation is provided with at least one state perception sensor which is arranged on a transformer device;
the state perception sensor is used for perceiving the state of the substation equipment of the transformer substation; it is characterized in that the preparation method is characterized in that,
the state perception sensor is electrically connected with an I-shaped perception unit;
the I-shaped sensing unit is arranged adjacent to the transformer equipment of the transformer substation and the state sensing sensor to form a nearby data processing structure, comprises a sensor measurement conversion circuit and an edge computing node and is used for processing original data of the state sensing sensor to realize state monitoring of the transformer equipment;
the sensor measurement conversion circuit is used for processing an original signal output by the state perception sensor to be converted into an analog voltage signal with a standard amplitude value and transmitting the analog voltage signal to the edge computing node;
the edge calculation node acquires data of the analog voltage signal in an edge calculation mode to obtain a sensor digital signal, extracts working state information of the power transformation equipment from the sensor digital signal, and realizes that the state sensing and monitoring of the power transformation equipment can be known locally on the power transformation equipment.
5. A distributed substation monitoring system according to claim 4,
the sensor measurement conversion circuit comprises an impedance conversion circuit, a signal filtering circuit, a signal amplifying circuit, a signal detecting circuit and an output stage impedance conversion circuit, and is used for performing impedance conversion, signal filtering, signal amplification and signal detecting processing on an original signal, obtaining an analog voltage signal with standard impedance and amplitude characteristics, and realizing the same standard output of the signal.
6. A distributed substation monitoring system according to claim 4,
the edge computing node at least comprises a double-path high-speed AD converter unit with standard impedance and amplitude characteristics, an FPGA high-speed data acquisition unit, a DDR3 high-speed data buffer unit, an MCU (microprogrammed control unit) microprocessor unit and a distributed measurement and control network connection and communication component unit, and is used for carrying out digital signal processing on an analog voltage signal locally on the power transformation equipment to obtain a sensor digital signal and sensor digital signal characteristic parameter information, and meanwhile, the sensor digital signal can be directly displayed and used by other nodes or a state signal monitoring platform;
the two-way high-speed AD converter unit is used for carrying out high-speed data acquisition on an analog voltage signal which is input to the edge calculation node and has standard impedance and amplitude characteristics under the control of the FPGA high-speed data acquisition unit;
the DDR3 high-speed data buffer unit is used for buffering and storing the collected analog voltage signals and can be read by the MCU microprocessor as required;
the MCU microprocessor is used for carrying out digital signal processing and characteristic information extraction on the analog voltage signal;
the distributed measurement and control network connection and communication component unit is provided with a communication network and is used for connecting each edge computing node with a computer in the state signal monitoring platform to form a distributed monitoring system.
7. A distributed substation monitoring system according to claim 6,
the state perception sensor is one or more of a ultrahigh frequency partial discharge sensor, a high frequency partial discharge sensor, an ultrasonic partial discharge sensor, a mechanical vibration monitoring sensor, a grounding current sensor and a temperature sensor;
the state signal monitoring platform comprises a computer with a networking communication function and a state information display human-computer interaction interface thereof;
the communication network comprises wired or wireless communication networks such as an industrial field bus, an RS485 bus, a TCP/IP Ethernet, Bluetooth, ZigBee, WIFI and the like.
8. A distributed monitoring method for a transformer substation is characterized in that,
use of a substation distributed monitoring system according to any of claims 4-6,
which comprises the following steps:
firstly, mounting various state perception sensors on power transformation equipment to perceive state information of the power transformation equipment and obtain original signals of the sensors;
secondly, the original signal in the first step is converted into an analog voltage signal with standard amplitude after being subjected to impedance conversion, signal filtering, signal amplification and signal detection processing through a sensor measurement conversion circuit, so that the same standard output of the signal is realized;
thirdly, constructing an edge calculation node, carrying out data acquisition on the analog voltage signal in the second step, converting to obtain a sensor digital signal, and extracting the working state information of the monitored equipment from the sensor digital signal locally in the power transformation equipment in an edge calculation mode;
and fourthly, transmitting the data in the third step to a state signal monitoring platform through network communication to form a distributed intelligent monitoring network, so as to realize effective monitoring on the power transformation equipment.
9. The distributed monitoring method of a substation of claim 8,
in the second step, the data processing method of the sensor measurement conversion circuit comprises the following steps:
according to the characteristics of the sensor digital signal, filtering, detecting and denoising the original signal to obtain an accurate sensor digital signal waveform;
in the third step, the data acquisition and processing mode of the edge computing node is as follows:
carrying out high-speed data acquisition on a standard analog voltage signal, and converting to obtain a digital signal waveform of the sensor; calculating characteristic parameter information capable of reflecting the actual working state of the power transformation equipment according to the obtained sensor digital signal waveform through a characteristic calculation algorithm;
all the processing links are completed locally at the nodes, and the sensor digital signals and the sensor digital signal characteristic parameter information provided by the edge computing nodes can be directly displayed and used by other nodes or a state signal monitoring platform.
10. The distributed monitoring method of a substation of claim 8,
the method for acquiring the high-speed data of the standard analog voltage signal comprises the following specific steps:
the edge computing node carries out high-speed data acquisition on a sensor analog voltage signal which is input to the edge computing node and has standard impedance and amplitude characteristics under the control of the FPGA high-speed data acquisition unit through the double-path high-speed AD converter unit;
the method for acquiring the digital signal waveform specifically comprises the following steps:
the MCU microprocessor unit of the edge computing node firstly reads analog-to-digital conversion data output by the double-path high-speed AD conversion unit from the DDR3 high-speed data buffer unit;
then, filtering and detecting the analog-to-digital conversion data, and removing abnormal values to obtain accurate sensor digital signal waveforms;
then the MCU configures a related key parameter analysis algorithm according to the attribute of the tested equipment, and further analyzes the waveform of the sensor digital signal;
the calculation method of the characteristic parameter information specifically comprises the following steps:
an extraction algorithm of characteristic parameter information is configured, and waveform peak values, peak phase positions, discharge times per second, waveform mean values, 50Hz correlations, 100Hz correlations, rise time and energy characteristic parameters included in partial discharge signal waveforms are obtained through calculation of the extraction algorithm;
the high-speed data acquisition method, the digital signal waveform acquisition method and the characteristic parameter information calculation method are all completed in the MCU, so that the information required by the state perception of the local power transformation equipment is acquired.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111346350.XA CN114062867A (en) | 2021-11-15 | 2021-11-15 | Sensor data processing module and transformer substation distributed monitoring system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111346350.XA CN114062867A (en) | 2021-11-15 | 2021-11-15 | Sensor data processing module and transformer substation distributed monitoring system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114062867A true CN114062867A (en) | 2022-02-18 |
Family
ID=80271677
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111346350.XA Pending CN114062867A (en) | 2021-11-15 | 2021-11-15 | Sensor data processing module and transformer substation distributed monitoring system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114062867A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115190152A (en) * | 2022-07-15 | 2022-10-14 | 中国兵器装备集团自动化研究所有限公司 | Measuring system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102162740A (en) * | 2010-12-14 | 2011-08-24 | 中国飞机强度研究所 | Transmitter |
| CN103179695A (en) * | 2013-03-29 | 2013-06-26 | 国家电网公司 | Wireless sensor system for power transmission and transformation system project |
| CN110401262A (en) * | 2019-06-17 | 2019-11-01 | 北京许继电气有限公司 | GIS device state intelligent monitoring system and method based on edge calculations technology |
| CN110988543A (en) * | 2019-12-16 | 2020-04-10 | 广西电网有限责任公司电力科学研究院 | Distribution automation terminal detects monitored control system |
| US20200225655A1 (en) * | 2016-05-09 | 2020-07-16 | Strong Force Iot Portfolio 2016, Llc | Methods, systems, kits and apparatuses for monitoring and managing industrial settings in an industrial internet of things data collection environment |
| CN111784026A (en) * | 2020-05-28 | 2020-10-16 | 国网信通亿力科技有限责任公司 | Cloud-side cooperative sensing-based all-dimensional physical examination system for electrical equipment of transformer substation |
| CN113110386A (en) * | 2021-04-19 | 2021-07-13 | 重庆大学 | GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system |
| CN113486015A (en) * | 2021-07-16 | 2021-10-08 | 国网湖北省电力有限公司黄石供电公司 | Power edge calculation system and method for lightweight integrated block chain |
| CN113589096A (en) * | 2021-06-30 | 2021-11-02 | 国网电力科学研究院武汉南瑞有限责任公司 | Edge calculation system and method for multi-state-quantity configurable power transformation equipment |
-
2021
- 2021-11-15 CN CN202111346350.XA patent/CN114062867A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102162740A (en) * | 2010-12-14 | 2011-08-24 | 中国飞机强度研究所 | Transmitter |
| CN103179695A (en) * | 2013-03-29 | 2013-06-26 | 国家电网公司 | Wireless sensor system for power transmission and transformation system project |
| US20200225655A1 (en) * | 2016-05-09 | 2020-07-16 | Strong Force Iot Portfolio 2016, Llc | Methods, systems, kits and apparatuses for monitoring and managing industrial settings in an industrial internet of things data collection environment |
| CN110401262A (en) * | 2019-06-17 | 2019-11-01 | 北京许继电气有限公司 | GIS device state intelligent monitoring system and method based on edge calculations technology |
| CN110988543A (en) * | 2019-12-16 | 2020-04-10 | 广西电网有限责任公司电力科学研究院 | Distribution automation terminal detects monitored control system |
| CN111784026A (en) * | 2020-05-28 | 2020-10-16 | 国网信通亿力科技有限责任公司 | Cloud-side cooperative sensing-based all-dimensional physical examination system for electrical equipment of transformer substation |
| CN113110386A (en) * | 2021-04-19 | 2021-07-13 | 重庆大学 | GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system |
| CN113589096A (en) * | 2021-06-30 | 2021-11-02 | 国网电力科学研究院武汉南瑞有限责任公司 | Edge calculation system and method for multi-state-quantity configurable power transformation equipment |
| CN113486015A (en) * | 2021-07-16 | 2021-10-08 | 国网湖北省电力有限公司黄石供电公司 | Power edge calculation system and method for lightweight integrated block chain |
Non-Patent Citations (1)
| Title |
|---|
| 杨黎明 主编: "《机电一体化***设计手册》", vol. 1, 北京国防工业出版社, pages: 1140 - 1142 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115190152A (en) * | 2022-07-15 | 2022-10-14 | 中国兵器装备集团自动化研究所有限公司 | Measuring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103675623B (en) | GIS partial discharge detection method and system under a kind of surge voltage | |
| CN104749468B (en) | A kind of GIS fault diagnosis systems and its method | |
| CN104375067B (en) | Local discharge detection device and method for looped network switch cabinet | |
| CN102735968B (en) | GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis | |
| CN106771933A (en) | Power cable shelf depreciation high frequency electric monitoring system based on wireless network | |
| CN204044292U (en) | For the system of gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring | |
| CN107390097A (en) | A kind of acoustoelectric combined shelf depreciation simulation detection system of GIS and its detection method | |
| CN102508128A (en) | Switch cabinet local discharge transient-to-ground voltage detection system based on wireless network | |
| CN107907320A (en) | The diagnostic method and device of the machine performance feature of on-load tap changers of transformers | |
| CN103135041A (en) | Transformer/ electric reactor partial discharge on-line monitoring method and transformer/ electric reactor partial discharge on-line monitoring system | |
| CN101819244A (en) | On-line early warning method of failure of cross-linked polyethylene power cable | |
| CN110299932B (en) | Power distribution network and equipment running state online identification method based on power line signal | |
| CN210346899U (en) | Mechanical vibration abnormal state detection device for gas insulated metal enclosed switchgear | |
| CN204405785U (en) | Partial discharge monitoring overall treatment unit in transformer oil | |
| CN203101577U (en) | Partial discharge detector using ultrasonic signals | |
| CN114089135A (en) | Partial discharge sensor for variable distribution high-frequency current and method thereof | |
| CN104965158B (en) | A kind of improved high-frequency local discharging electric power detection harvester and method | |
| CN108872802A (en) | A kind of cable local discharge distributed monitoring system | |
| CN114062867A (en) | Sensor data processing module and transformer substation distributed monitoring system and method | |
| CN102721854B (en) | Power network overvoltage signal detection method and system | |
| CN108680843A (en) | A kind of method for detection of partial discharge of switch cabinet based on Radio Transmission Technology | |
| CN210323335U (en) | Evaluation device for anti-electromagnetic interference performance of ultrahigh frequency partial discharge detector | |
| CN104880222A (en) | 3G wireless communication-based secondary equipment state monitoring system | |
| CN205581259U (en) | GIS local discharge on -line monitoring system with little meteorological monitoring | |
| CN208421150U (en) | A kind of device for Partial Discharge Detection |
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 |