CN112564089A - Data processing method for power distribution internet of things - Google Patents
Data processing method for power distribution internet of things Download PDFInfo
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- G—PHYSICS
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- 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
- H02J13/00001—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 the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
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- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
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- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
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Abstract
The invention relates to the technical field of power grid cloud platforms, in particular to a power distribution internet of things data processing method. The method comprises the steps of constructing a system, acquiring data, processing the data, applying the data and the like. The design of the invention can ensure the safety of data transmission, improve the efficiency of data processing, perfect the comprehensiveness of data, realize the remote monitoring of the equipment state, improve the equipment management efficiency, lighten the burden of workers, ensure the operation safety of a power grid, improve the reliability of power utilization and the reliability of users, and support the development and operation of more national electric services.
Description
Technical Field
The invention relates to the technical field of power grid cloud platforms, in particular to a power distribution internet of things data processing method.
Background
In recent years, our country has rapidly developed intelligent power distribution networks based on the internet of things, but most of the power distribution networks have unbalanced terminal development and large variable load impact. Traditional distribution network automation, production management system, power supply service command system, system such as power consumption information acquisition system mostly are towards the independent construction of department, lack overall design and unified planning, the foundation function can only monitor electric power alone, can't assess the running state of end equipment, the equipment management difficulty, only can know the trouble passively and carry out emergent speedily up rescue, work efficiency is low, staff's operating pressure has been increased, can't guarantee electric wire netting operation safety better, thereby the development of the novel business of state electric enterprise has been restricted.
Disclosure of Invention
The invention aims to provide a data processing method of a power distribution internet of things, which aims to solve the problems in the background technology.
In order to solve the technical problems, one of the objectives of the present invention is to provide a data processing method for a power distribution internet of things, which includes the following steps:
s1, constructing a system;
s2, data acquisition;
s3, processing data;
and S4, data application.
As a further improvement of the present technical solution, in S1, the method for constructing a system includes the following steps:
s1.1, mounting an electric meter and matched basic equipment at the tail end positions of a distribution transformer, a branch box, a household meter, a charging pile and the like according to standard requirements;
s1.2, deploying various intelligent sensors at each tail end ammeter, wherein the sensors comprise a power collector, a temperature and humidity sensor, a positioner, an alarm and the like;
s1.3, installing wireless communication equipment in the area range;
s1.4, connecting the electric meters and the intelligent sensors at the tail ends with a central processing unit through corresponding wireless communication technologies;
and S1.5, programming a data processing program on the central processing unit by a programmer to complete the basic construction of the data processing system.
As a further improvement of the present technical solution, in S1.3, the wireless communication technology includes, but is not limited to, Bluetooth, CDMA2000, GSM, Infra (IR), ISM, RFID, UMTS/3GPPw/HSDPA, UWB, WiMAXwi-Fi, ZigBee, and the like.
As a further improvement of the technical solution, in S2, the method flow of data acquisition includes the following steps:
s2.1, enabling the power system to normally operate, and simultaneously ensuring normal operation of each tail end ammeter and the intelligent sensor;
s2.2, respectively carrying out high-frequency acquisition on data such as voltage, current, active power, reactive power, electric energy indicating value and the like of electric power by an electric power acquisition device arranged on the intelligent electric meter or the common electric meter;
s2.3, performing cooperative sensing on the power grid object and the operating environment by other intelligent sensors, and respectively collecting state data such as temperature and humidity;
s2.4, the collected data are transmitted to a data sink node in a short distance in a centralized manner, and the data sink node module packs the data;
s2.5, the wireless transmission module carries out information encryption processing on the packed data;
and S2.6, transmitting the data after the primary processing to a central processing unit through a corresponding wireless network communication path.
As a further improvement of the present technical solution, in S3, the method flow of data processing includes the following steps:
s3.1, decompressing and analyzing the received data by the data processing system;
s3.2, cleaning the decompressed data, and screening out invalid, wrong and repeated data;
s3.3, respectively carrying out statistics, calculation and analysis on data of different indexes;
s3.4, respectively and automatically generating corresponding reports and statistical graphs after the data of different indexes are counted;
s3.5, receiving coordinate data of each terminal position, and drawing an accurate electric meter distribution map by combining map data of the area;
s3.6, storing the counted data structure, the corresponding report and the counted graph in a classified manner;
and S3.7, recording the whole data processing process, and feeding back the processing record and the data processing result to the user.
As a further improvement of the technical solution, in S3.3, the method for respectively performing statistics, calculation and analysis on data of different indexes includes the following steps:
s3.3.1, respectively carrying out time period accumulation statistics on the electric power data, carrying out total accumulation calculation on the electric power consumption, and respectively carrying out accumulation calculation on the electric power consumption charged by the stairs;
s3.3.2, distinguishing and counting the peak and the valley of the power consumption;
s3.3.3, counting the temperature change of the tail end position, and distinguishing and counting the time periods of high temperature and low temperature;
s3.3.4, counting the humidity change of the tail end position, and distinguishing and counting the time periods of high humidity and low humidity;
s3.3.5, statistics of data information such as time, type, processing scheme, etc. of end-location equipment failures.
As a further improvement of the present technical solution, in S4, the data application method includes the following steps:
s4.1, remote intelligent meter reading is realized, and the working intensity and the working amount of workers are reduced;
s4.2, monitoring the state of each terminal device, reporting faults, timely troubleshooting, and evaluating and diagnosing whether the state of the terminal device is normal or not by analyzing data statistical results;
s4.3, the optimization of the power distribution strategy can be realized by comprehensively analyzing the data statistical results of all indexes;
s4.4, integrating data statistics results of multi-region power use conditions, so that national power enterprises can better realize overall power planning, the operation efficiency of a power grid is improved, and clean energy consumption is promoted;
s4.5, by counting the accumulated electric power data results and combining with the local electric charge standard, realizing charge clearing and improving the quality of customer service;
and S4.6, integrating all data statistical results to promote the development of novel services.
As a further improvement of the technical scheme, the method comprises the following steps.
The invention also provides a scene abnormity perception index calculation device based on a deep hybrid cloud model, which comprises a processor, a memory and a computer program stored in the memory and running on the processor, wherein the processor is used for implementing any step of the power distribution internet of things data processing method when executing the computer program.
A third object of the present invention is to provide a computer-readable storage medium storing a computer program, characterized in that: the computer program is executed by a processor to realize the steps of any one of the above power distribution internet of things data processing methods.
Compared with the prior art, the invention has the beneficial effects that: according to the power distribution Internet of things data processing method, the various intelligent sensors are deployed at the tail end electric meter and sense the intelligent sensors in cooperation with the electric meter, so that the safety of data transmission can be guaranteed, the data processing efficiency is improved, the comprehensiveness of data is improved, the remote monitoring of the equipment state is realized, the equipment management efficiency is improved, the burden of workers is relieved, the operation safety of a power grid is guaranteed, the power utilization reliability and the user reliability can be improved, and the development and operation of more national electric services can be supported.
Drawings
FIG. 1 is an overall product architecture diagram of the present invention;
FIG. 2 is an overall process flow diagram of the present invention;
FIG. 3 is a flow chart of a method of constructing a system according to the present invention;
FIG. 4 is a flow chart of a method of data acquisition in the present invention;
FIG. 5 is a flow chart of a method of data processing in the present invention;
FIG. 6 is a flow chart of a method of data statistics in the present invention;
FIG. 7 is a flow chart of a method of data application in the present invention;
FIG. 8 is a schematic view of the structure of the processing apparatus of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Product and method embodiments
As shown in fig. 1 to 8, an object of the present embodiment is to provide a data processing method for a power distribution internet of things, including the following steps:
s1, constructing a system;
s2, data acquisition;
s3, processing data;
and S4, data application.
In this embodiment, in S1, the method for constructing a system includes the following steps:
s1.1, mounting an electric meter and matched basic equipment at the tail end positions of a distribution transformer, a branch box, a household meter, a charging pile and the like according to standard requirements;
s1.2, deploying various intelligent sensors at each tail end ammeter, wherein the sensors comprise a power collector, a temperature and humidity sensor, a positioner, an alarm and the like;
s1.3, installing wireless communication equipment in the area range;
s1.4, connecting the electric meters and the intelligent sensors at the tail ends with a central processing unit through corresponding wireless communication technologies;
and S1.5, programming a data processing program on the central processing unit by a programmer to complete the basic construction of the data processing system.
In this embodiment, in S1.3, the wireless communication technology includes, but is not limited to, Bluetooth, CDMA2000, GSM, Infra (IR), ISM, RFID, UMTS/3GPPw/HSDPA, UWB, wimax wi-Fi, ZigBee, and the like.
In this embodiment, in S2, the method flow of data acquisition includes the following steps:
s2.1, enabling the power system to normally operate, and simultaneously ensuring normal operation of each tail end ammeter and the intelligent sensor;
s2.2, respectively carrying out high-frequency acquisition on data such as voltage, current, active power, reactive power, electric energy indicating value and the like of electric power by an electric power acquisition device arranged on the intelligent electric meter or the common electric meter;
s2.3, performing cooperative sensing on the power grid object and the operating environment by other intelligent sensors, and respectively collecting state data such as temperature and humidity;
s2.4, the collected data are transmitted to a data sink node in a short distance in a centralized manner, and the data sink node module packs the data;
s2.5, the wireless transmission module carries out information encryption processing on the packed data;
and S2.6, transmitting the data after the primary processing to a central processing unit through a corresponding wireless network communication path.
In this embodiment, in S3, the method flow of data processing includes the following steps:
s3.1, decompressing and analyzing the received data by the data processing system;
s3.2, cleaning the decompressed data, and screening out invalid, wrong and repeated data;
s3.3, respectively carrying out statistics, calculation and analysis on data of different indexes;
s3.4, respectively and automatically generating corresponding reports and statistical graphs after the data of different indexes are counted;
s3.5, receiving coordinate data of each terminal position, and drawing an accurate electric meter distribution map by combining map data of the area;
s3.6, storing the counted data structure, the corresponding report and the counted graph in a classified manner;
and S3.7, recording the whole data processing process, and feeding back the processing record and the data processing result to the user.
In S3.5, the ammeter distribution map is used for displaying the specific positions of the tail-end ammeters, when equipment breaks down, the alarm gives an alarm and reports the alarm to the central processing unit, and meanwhile, the accurate coordinates of the fault positions are fed back.
In this embodiment, in S3.3, the method for respectively performing statistics, calculation, and analysis on data of different indexes includes the following steps:
s3.3.1, respectively carrying out time period accumulation statistics on the electric power data, carrying out total accumulation calculation on the electric power consumption, and respectively carrying out accumulation calculation on the electric power consumption charged by the stairs;
s3.3.2, distinguishing and counting the peak and the valley of the power consumption;
s3.3.3, counting the temperature change of the tail end position, and distinguishing and counting the time periods of high temperature and low temperature;
s3.3.4, counting the humidity change of the tail end position, and distinguishing and counting the time periods of high humidity and low humidity;
s3.3.5, statistics of data information such as time, type, processing scheme, etc. of end-location equipment failures.
Specifically, when the electricity consumption condition is analyzed, the equipment operation environment condition at the corresponding time point needs to be combined to improve the accuracy of the equipment operation state evaluation.
In this embodiment, in S4, the data application method includes the following steps:
s4.1, remote intelligent meter reading is realized, and the working intensity and the working amount of workers are reduced;
s4.2, monitoring the state of each terminal device, reporting faults, timely troubleshooting, and evaluating and diagnosing whether the state of the terminal device is normal or not by analyzing data statistical results;
s4.3, the optimization of the power distribution strategy can be realized by comprehensively analyzing the data statistical results of all indexes;
s4.4, integrating data statistics results of multi-region power use conditions, so that national power enterprises can better realize overall power planning, the operation efficiency of a power grid is improved, and clean energy consumption is promoted;
s4.5, by counting the accumulated electric power data results and combining with the local electric charge standard, realizing charge clearing and improving the quality of customer service;
and S4.6, integrating all data statistical results to promote the development of novel services.
Electronic device embodiment
Referring to fig. 8, a schematic structural diagram of a data processing device of the power distribution internet of things according to the present embodiment is shown, where the device includes a processor, a memory, and a computer program stored in the memory and running on the processor.
The processor comprises one or more processing cores, the processor is connected with the processor through a bus, the memory is used for storing program instructions, and the power distribution internet of things data processing method is realized when the processor executes the program instructions in the memory.
Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In addition, the invention also provides a computer readable storage medium, which stores a computer program, and the computer program realizes the steps of the power distribution internet of things data processing method when being executed by a processor.
Optionally, the present invention also provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the steps of the above aspects of the data processing method for the power distribution internet of things.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, which may be stored in a computer-readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A data processing method for a power distribution Internet of things is characterized by comprising the following steps: the method comprises the following steps:
s1, constructing a system;
s2, data acquisition;
s3, processing data;
and S4, data application.
2. The power distribution internet of things data processing method according to claim 1, characterized in that: in S1, the method for constructing a system includes the steps of:
s1.1, mounting an electric meter and matched basic equipment at the tail end positions of a distribution transformer, a branch box, a household meter, a charging pile and the like according to standard requirements;
s1.2, deploying various intelligent sensors at each tail end ammeter, wherein the sensors comprise a power collector, a temperature and humidity sensor, a positioner, an alarm and the like;
s1.3, installing wireless communication equipment in the area range;
s1.4, connecting the electric meters and the intelligent sensors at the tail ends with a central processing unit through corresponding wireless communication technologies;
and S1.5, programming a data processing program on the central processing unit by a programmer to complete the basic construction of the data processing system.
3. The power distribution internet of things data processing method according to claim 2, characterized in that: in S1.3, the wireless communication technology includes but is not limited to Bluetooth, CDMA2000, GSM, Infra (IR), ISM, RFID, UMTS/3GPPw/HSDPA, UWB, WiMAXwi-Fi and ZigBee.
4. The power distribution internet of things data processing method according to claim 1, characterized in that: in S2, the method for acquiring data includes the following steps:
s2.1, enabling the power system to normally operate, and simultaneously ensuring normal operation of each tail end ammeter and the intelligent sensor;
s2.2, respectively carrying out high-frequency acquisition on data such as voltage, current, active power, reactive power, electric energy indicating value and the like of electric power by an electric power acquisition device arranged on the intelligent electric meter or the common electric meter;
s2.3, performing cooperative sensing on the power grid object and the operating environment by other intelligent sensors, and respectively collecting state data such as temperature and humidity;
s2.4, the collected data are transmitted to a data sink node in a short distance in a centralized manner, and the data sink node module packs the data;
s2.5, the wireless transmission module carries out information encryption processing on the packed data;
and S2.6, transmitting the data after the primary processing to a central processing unit through a corresponding wireless network communication path.
5. The power distribution internet of things data processing method according to claim 1, characterized in that: in S3, the method flow of data processing includes the following steps:
s3.1, decompressing and analyzing the received data by the data processing system;
s3.2, cleaning the decompressed data, and screening out invalid, wrong and repeated data;
s3.3, respectively carrying out statistics, calculation and analysis on data of different indexes;
s3.4, respectively and automatically generating corresponding reports and statistical graphs after the data of different indexes are counted;
s3.5, receiving coordinate data of each terminal position, and drawing an accurate electric meter distribution map by combining map data of the area;
s3.6, storing the counted data structure, the corresponding report and the counted graph in a classified manner;
and S3.7, recording the whole data processing process, and feeding back the processing record and the data processing result to the user.
6. The power distribution internet of things data processing method according to claim 5, characterized in that: in S3.3, the method for respectively performing statistics, calculation, and analysis on data of different indexes includes the following steps:
s3.3.1, respectively carrying out time period accumulation statistics on the electric power data, carrying out total accumulation calculation on the electric power consumption, and respectively carrying out accumulation calculation on the electric power consumption charged by the stairs;
s3.3.2, distinguishing and counting the peak and the valley of the power consumption;
s3.3.3, counting the temperature change of the tail end position, and distinguishing and counting the time periods of high temperature and low temperature;
s3.3.4, counting the humidity change of the tail end position, and distinguishing and counting the time periods of high humidity and low humidity;
s3.3.5, statistics of data information such as time, type, processing scheme, etc. of end-location equipment failures.
7. The power distribution internet of things data processing method according to claim 1, characterized in that: in S4, the method for data application includes the following steps:
s4.1, remote intelligent meter reading is realized, and the working intensity and the working amount of workers are reduced;
s4.2, monitoring the state of each terminal device, reporting faults, timely troubleshooting, and evaluating and diagnosing whether the state of the terminal device is normal or not by analyzing data statistical results;
s4.3, the optimization of the power distribution strategy can be realized by comprehensively analyzing the data statistical results of all indexes;
s4.4, integrating data statistics results of multi-region power use conditions, so that national power enterprises can better realize overall power planning, the operation efficiency of a power grid is improved, and clean energy consumption is promoted;
s4.5, by counting the accumulated electric power data results and combining with the local electric charge standard, realizing charge clearing and improving the quality of customer service;
and S4.6, integrating all data statistical results to promote the development of novel services.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105024848A (en) * | 2015-06-01 | 2015-11-04 | 辽宁立德电力工程设计有限公司 | Smart power grid information management system based on wireless sensor network |
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