CN115566796A - Platform area user behavior classification method based on edge calculation - Google Patents
Platform area user behavior classification method based on edge calculation Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—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
- H02J13/00028—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 involving the use of Internet protocols
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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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Abstract
The invention discloses a platform area user behavior classification method based on edge calculation, which comprises the following steps: s1: (1) A novel fusion terminal SCU is installed on the transformer side, and a novel intelligent measuring switch is directly replaced on the branch side and the measuring box side; (2) The side of a branch box connected with the transformer is additionally provided with an intelligent sensing module, a control module and a protection module on the basis of an original switch; (3) The meter box side connected with the branch box side is additionally provided with an intelligent sensing module, a control module and a protection module on the basis of the original switch; by taking a marketing intelligent terminal as a core and comprehensively matching with a platform area load advanced terminal device (an intelligent measuring switch, an intelligent perception sub-terminal and the like), an App and an application master station, an edge calculation-based platform for analyzing the behavior of platform area users is created, and by machine learning analysis and research on the electricity consumption behavior of the platform area users with an edge calculation function, the load characteristics, network topology, power supply loop impedance and the like under a power distribution platform area can be processed and calculated in real time.
Description
Technical Field
The invention relates to the field of internet communication, in particular to a platform area user behavior classification method based on edge calculation.
Background
The low-voltage distribution station area is the minimum unit and the data source of the distribution network and is the key for realizing the intelligent distribution network. The current situation of the power distribution station area is characterized by multiple points, wide range and complex field environment; the number of devices is large, and the data volume is large; the equipment is various and lacks of unified standard; distributed installation, communication difficulties; the new demand of the distribution network is increased explosively, the business expansion of the distribution area is limited by the existing equipment, and the like.
Because the software and hardware conditions of the existing terminal equipment are limited, the existing power distribution station area automation equipment has many types but limited functions, is mainly suitable for fault isolation and recovery, and has poor power utilization behavior analysis capability, slow response speed and lack of an effective real-time processing method for users under the jurisdiction of the power distribution station area.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a platform area user behavior classification method based on edge computing, which adopts advanced sensor technology, internet of things technology, edge computing technology, artificial intelligence technology, non-invasive load monitoring technology, topology identification technology and the like, is based on an electric power Internet of things cloud-pipe-edge-end architecture, creates a platform area user behavior analysis based on edge computing by taking a marketing intelligent terminal as a core and matching with platform area load first-entering end equipment (an intelligent measuring switch, an intelligent perceptron terminal and the like), app and an application master station comprehensively, and can perform real-time processing and computing on load characteristics, network topology, power supply loop impedance and the like under a power distribution platform area through machine learning analysis research on platform area user power consumption behaviors with edge computing function.
In order to solve the technical problems, the invention provides the following technical scheme: a method for classifying the user behavior of a distribution room based on edge calculation comprises the following steps:
s1: (1) A novel fusion terminal SCU is installed on the transformer side, and a novel intelligent measuring switch is directly replaced on the branch side and the metering box side; (2) The side of a branch box connected with the transformer is additionally provided with an intelligent sensing module, a control module and a protection module on the basis of an original switch; (3) The meter box side connected with the branch box side is additionally provided with an intelligent sensing module, a control module and a protection module on the basis of the original switch; s2: classifying the data in the S1 and communicating with the cloud, and carrying out real-time processing calculation on the data through load characteristics, network topology, power supply loop impedance and the like; s3: and an intelligent platform for analyzing the electricity utilization characteristics of the transformer area is formed by processing the acquired electric quantity information and other data information.
As a preferred technical scheme of the invention, the station area intelligent equipment is internally provided with an identification and RS-485/HPLC automatic meter searching technology, solidified asset information of each node equipment in the station area is automatically read, a topology forming technology is arranged in an identification chip of the station area intelligent equipment and used for automatically drawing a station area physical topology graph, each distribution station area is provided with an edge computing platform used for processing data and electric quantity information in S3 on site, and an abnormal (electric leakage, aging and heating) analysis model and an electric larceny analysis model are internally arranged in the station area intelligent platform.
As a preferred technical solution of the present invention, in S1, a high-precision metering chip is built in the platform area intelligent device, and an external/internal 0.5S-level snap-fit transformer is built in, so as to complete accurate metering at each node side of the platform area.
As a preferred technical scheme of the invention, the distribution side, the branch side and the meter box side are all internally provided with the Internet of things communication unit, the photographing recording function can be automatically started according to the phenomena of illegal opening of the meter box, electromagnetic interference, impact and the like on site, and related evidence information is uploaded in real time by means of the built-in HPLC module of the intelligent equipment.
As a preferred technical scheme of the invention, one end of the intelligent equipment is electrically connected with the electric energy meter, and the second-level reporting and automatic positioning of the power failure information of the single-family electric energy meter are realized by combining the information of zero line current, live line current, power factor and the like in the electric energy meter with an internal intelligent equipment self-learning module.
As a preferred technical scheme of the invention, an electric energy meter metering error checking model is arranged in the intelligent equipment, and historical data of the electric energy meter is collected and combined with a data analysis module.
As a preferred technical scheme of the invention, intelligent locks are used in the power distribution side, the branch side and the meter box side, position information of the metering box is automatically acquired through an internal intelligent Internet of things unit, a topological graph is displayed synchronously, the locks are opened and closed under authorization, the opening and closing of the intelligent locks and the monitoring of a master station in an abnormal state are realized, and suspected electricity stealing early warning is provided.
As a preferred technical solution of the present invention, in S2, after the topology of the intelligent platform area is generated, a generated holographic state diagram is combined with physical information such as platform area transformer capacity, outgoing cable wire diameter, each branch wire diameter, installation and operation life, etc. in the PMS system, the three-phase balance degree of the platform area load and the quality of the power supply at the end can be monitored in real time, and is diagnosed by a background computing device to generate a specific adjustment strategy, and auxiliary devices are sent to perform intelligent adjustment, wherein the auxiliary devices include, but are not limited to, a three-phase load intelligent adjustment device and a voltage stabilization device.
As a preferred technical scheme of the invention, one end of the intelligent equipment realizes data interaction with the mobile operation terminal APP and the low-voltage transformer area lean management and control platform.
As a preferred technical scheme of the invention, in S1, a convergence terminal SCU is a novel concentrator, and is installed in a public transformer or a private transformer area, and a topology identification core chip and a security chip are embedded in the fusion terminal SCU; the interior of the intelligent measurement switch is electrically connected with functional components such as a high-precision measurement chip, a platform area topology identification chip, an interconnection HPLC (high performance liquid chromatography) chip, bluetooth communication, RS485 communication and the like; the internet of things communication unit comprises a box body door lock control unit, a position information tracking module, a box body state monitoring module, an abnormal behavior reporting communication module, a human body infrared sensing module, an image acquisition module and an abnormal linkage reporting module; an intelligent sensing module, a control module and a protection module are arranged in the common branch box and the metering box.
Compared with the prior art, the invention can achieve the following beneficial effects:
1. in the method, the load characteristics, network topology, power supply loop impedance and the like under the power distribution transformer area are processed and calculated in real time through machine learning analysis research of the power utilization behavior of the transformer area users with the edge calculation function, so that on one hand, a solid foundation can be provided for implementation of an active power distribution system, and on the other hand, suggestions of related comprehensive services can be provided for the users through analysis of the power utilization behavior of the users.
2. In the method, the load characteristics, network topology, power supply loop impedance and the like under the power distribution transformer area are processed and calculated in real time through machine learning analysis research of power utilization behaviors of transformer area users with edge calculation functions, and the obtained electric quantity information and other data information can be processed on the spot based on an edge calculation platform installed in each power distribution transformer area to form an intelligent transformer area power utilization characteristic analysis platform, so that the problems can be perfectly solved, and some innovation applications are brought, wherein the method specifically comprises the following steps: the self-reconstruction and the improvement of power supply reliability in the aspect of distribution network automation and a series of problems caused by distributed power supply access and charging pile access are required to be solved in an area, a distribution station area is taken as a unit in the prior art, but if a plurality of distribution station areas are matched, a master station is required to process the problems, most problems can be solved rapidly in the field if the problems pass through an edge computing platform and an edge cloud, the returned background cloud data is greatly reduced, and the master station and communication pressure is reduced.
Drawings
Fig. 1 is a connection block diagram of a platform area standardized construction structure of the present invention;
FIG. 2 is a connection block diagram of the intelligent construction structure of the platform region of the invention;
FIG. 3 is a schematic diagram of the general architecture of the power Internet of things of the invention;
FIG. 4 is a schematic diagram of a technical architecture of the present invention;
FIG. 5 is a diagram illustrating a data structure according to the present invention.
Detailed Description
The present invention will be further described with reference to specific examples, but the following examples are only preferred embodiments of the present invention, and not all embodiments of the present invention are intended to be included in the scope of the present invention. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative efforts belong to the protection scope of the present invention. The experimental methods in the following examples are conventional methods unless otherwise specified, and materials, reagents and the like used in the following examples are commercially available unless otherwise specified.
Example (b):
referring to fig. 1-5, the present invention provides a method for classifying user behaviors in a distribution room based on edge calculation, which includes the following steps:
s1: (1) A novel fusion terminal SCU is installed on the transformer side, and a novel intelligent measuring switch is directly replaced on the branch side and the measuring box side;
(2) The side of a branch box connected with the transformer is additionally provided with an intelligent sensing module, a control module and a protection module on the basis of an original switch;
(3) (3) additionally arranging an intelligent sensing module, a control module and a protection module on the meter box side connected with the branch box side on the basis of the original switch;
s2: classifying the data in the S1 and communicating with the cloud, and carrying out real-time processing calculation on the data through load characteristics, network topology, power supply loop impedance and the like;
s3: and an intelligent platform area power utilization characteristic analysis platform is formed by processing the acquired electric quantity information and other data information.
Through the edge computing platform of each distribution area, fine-grained and panoramic sensing can be carried out on the residential life electricity and agricultural production electricity loads of the distribution areas. Through interaction between a user and the power grid, the user participates in power grid demand response under the condition of need, so that the power grid can adjust adjustable loads such as household appliance loads, electric automobile charging loads and the like of the user in a distribution area, and orderly power utilization, peak shifting and valley filling are realized. The power-assisted reduction of peak-valley difference, the improvement of equipment utilization rate, the reduction of investment and the like. In addition, accurate sensing of household appliance-level information and freezing record of minute-level data can be achieved for resident families, various load use conditions and occupation ratios of users are analyzed in a refined mode, effective user portrait depicting labels are established for the users through multiple dimensions of electricity utilization characteristics, user clustering on a macro level is completed, accurate energy efficiency service for multiple users is achieved, and the accurate energy efficiency service is achieved for the multiple users, such as customized energy-saving suggestion pushing, fine-granularity electricity price strategy design and adjustable load interaction under an authorization mechanism. Meanwhile, the conditions of line aging, electric appliance faults and the like are identified, and the conditions are pushed to users in time, so that the power utilization safety is ensured. By deeply mining the data value and comparing with a user model, the abnormal energy consumption behavior of residential users is sensed, and data enabling is realized.
In this embodiment, the station identification and RS-485/HPLC automatic table searching technology is built in the intelligent device in the station area, information such as solidified asset information and device types of each node device in the station area is automatically read, the "soft identification" is really promoted to the "hard identification", the operation and distribution are really conducted through the last "one kilometer", the operation and distribution through is changed from manual to intelligent, a topology forming technology is arranged in an identification chip of the station area intelligent device and is used for automatically drawing a station area physical topology map, an edge computing platform is installed in each power distribution station area and is used for processing data and electric quantity information in S3 in situ, an abnormal (electricity leakage, aging and heating) analysis model and an electricity stealing analysis model are built in the station area intelligent platform, automatic identification of a file relationship between "change-division-box-user" is realized, meanwhile, the station area physical topology map is automatically drawn by combining the topology forming technology, manual to intelligent change is realized, and accurate file support is provided for the lean line loss of the station area ("manual check" intelligent, and "automatic check" change to "intelligent check".
In this embodiment, in S1, a high-precision metering chip is built in the platform region intelligent device and an external/internal 0.5S-level snap-fit transformer is built in, so as to complete accurate metering on each node side of the platform region.
In this embodiment, all be provided with thing antithetical couplet communication unit in distribution side, branch side and table case side, can be based on, the illegal phenomenon such as opening, electromagnetic interference, striking of batch meter appears in the scene, the record function of shooing of automatic start to with the help of the built-in HPLC module of intelligent equipment, upload relevant evidence information in real time.
In the embodiment, one end of the intelligent device is electrically connected with the electric energy meter, and the second-level reporting and automatic positioning of the power failure information of the single-household electric energy meter are realized by combining the information of zero, live wire current, power factor and the like in the electric energy meter with the internal self-learning module of the intelligent device.
In this embodiment, an electric energy meter metering error checking model is arranged in the intelligent device, and the electric energy meter historical data is collected and combined with the data analysis module.
In this embodiment, all use intelligent tool to lock in distribution side, branch side and the table case side to automatically, acquire batch meter position information through inside intelligent thing allies oneself with the unit, and the topological diagram show of synchronization, the tool to lock is the operation of closing under authorizing, realizes the monitoring of the main website of intelligent tool to lock switching and abnormal state, provides the suspected early warning of stealing electricity.
In this embodiment, in S2, after the topology of the intelligent platform area is generated, a generated hologram state diagram is combined with physical information such as platform area transformer capacity, outgoing cable wire diameter, each branch wire diameter, installation and operation age, etc. in the PMS system, so that the three-phase balance degree of the platform area load and the terminal power supply quality can be monitored in real time, a specific adjustment strategy is generated through diagnosis by a background computing device, and an auxiliary device is sent to perform intelligent adjustment, wherein the auxiliary device includes, but is not limited to, a three-phase load intelligent adjustment device and a voltage stabilization device.
In this embodiment, one end of the intelligent device and the mobile operation terminal APP and the low-voltage transformer area lean management and control platform realize data interaction.
In this embodiment, in S1, the convergence terminal SCU is a novel concentrator, and is installed in a public or private transformer area, and a topology identification core chip and a security chip are embedded in the fusion terminal SCU; the interior of the intelligent measurement switch is electrically connected with functional components such as a high-precision measurement chip, a platform area topology identification chip, an interconnection HPLC (high performance liquid chromatography) chip, bluetooth communication, RS485 communication and the like; the internet of things communication unit comprises a box body door lock control unit, a position information tracking module, a box body state monitoring module, an abnormal behavior reporting communication module, a human body infrared sensing module, an image acquisition module and an abnormal linkage reporting module; an intelligent sensing module, a control module and a protection module are arranged in the common branch box and the metering box.
The method comprises the steps of performing real-time processing calculation on load characteristics, network topology, power supply loop impedance and the like under a power distribution station by machine learning analysis research on power utilization behaviors of station users with an edge calculation function, and forming an intelligent station power utilization characteristic analysis platform by processing acquired electric quantity information and other data information on the spot based on an edge calculation platform installed in each power distribution station.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature "on," "above" and "over" the second feature may include the first feature being directly above and obliquely above the second feature, or simply indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
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 (10)
1. A method for classifying station user behaviors based on edge calculation is characterized by comprising the following steps: the method comprises the following steps:
s1: (1) A novel fusion terminal SCU is installed on the transformer side, and a novel intelligent measuring switch is directly replaced on the branch side and the measuring box side;
(2) The side of a branch box connected with the transformer is additionally provided with an intelligent sensing module, a control module and a protection module on the basis of an original switch;
(3) The meter box side connected with the branch box side is additionally provided with an intelligent sensing module, a control module and a protection module on the basis of the original switch;
s2: classifying the data in the S1 and communicating with the cloud, and carrying out real-time processing calculation on the data through load characteristics, network topology, power supply loop impedance and the like;
s3: and an intelligent platform area power utilization characteristic analysis platform is formed by processing the acquired electric quantity information and other data information.
2. The method of claim 1, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: the station area intelligent equipment is internally provided with an identification and RS-485/HPLC automatic meter searching technology, solidified asset information of each node equipment in the station area is automatically read, a topology forming technology is arranged in an identification chip of the station area intelligent equipment and used for automatically drawing a station area physical topology graph, each power distribution station area is provided with an edge computing platform used for processing data and electric quantity information in S3 on site, and an abnormal (electricity leakage, aging and heating) analysis model and an electricity stealing analysis model are internally arranged in the station area intelligent platform.
3. The method of claim 1, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: in S1, a high-precision metering chip and an external/internal 0.5S-level buckling type mutual inductor are arranged in the platform area intelligent equipment, so that accurate metering of each node side of the platform area is completed.
4. The method of claim 1, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: all be provided with thing allies oneself with the communication unit in distribution side, branch side and table case side, can be according to, the illegal phenomenon such as opening, electromagnetic interference, striking of batch meter appear in the scene, the record function of shooing is started automatically to with the help of the built-in HPLC module of intelligent equipment, upload relevant evidence information in real time.
5. The method of claim 1, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: one end of the intelligent device is electrically connected with the electric energy meter, and the information of zero and live wire currents, power factors and the like in the electric energy meter is reported in a second level and automatically positioned by combining an internal intelligent device self-learning module.
6. The method for classifying the user behavior of the distribution room based on the edge calculation as claimed in claim 5, wherein: an electric energy meter metering error checking model is arranged in the intelligent equipment, electric energy meter historical data are collected, and a data analysis module is combined.
7. The method of claim 4, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: all use intelligent tool to lock in distribution side, branch side and the table case side to automatically, acquire batch meter position information through inside intelligent thing allies oneself with the unit, and the topological diagram show of synchronization, the tool to lock is opening and closing operation under the authorization, realizes the master station monitoring of intelligent tool to lock switching and abnormal state, provides the suspected early warning of stealing electricity.
8. The method of claim 7, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: in S2, after the topology of the intelligent transformer area is generated, a generated holographic state diagram is combined with physical information such as transformer capacity, outgoing cable wire diameter, branch wire diameters and installation and operation years of the transformer area in the PMS, the three-phase balance degree of the load of the transformer area and the tail end power supply quality can be monitored in real time, a specific adjusting strategy is generated through diagnosis of background computing equipment, and auxiliary equipment is sent to perform intelligent adjustment, wherein the auxiliary equipment comprises but is not limited to a three-phase load intelligent adjusting device and a voltage stabilizing device.
9. The method of claim 7, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: and one end of the intelligent equipment realizes data interaction with the mobile operation terminal APP and the lean management and control platform of the low-voltage transformer area.
10. The method of claim 1, wherein the classification of the user behavior of the platform region based on the edge calculation is performed by: in S1, a fusion terminal SCU is a novel concentrator and is installed in a public transformer or a special transformer area, and a topology identification core chip and a safety chip are embedded in the fusion terminal SCU; the interior of the intelligent measurement switch is electrically connected with functional components such as a high-precision measurement chip, a platform area topology identification chip, an interconnection HPLC (high performance liquid chromatography) chip, bluetooth communication, RS485 communication and the like; the internet of things communication unit comprises a box body door lock control unit, a position information tracking module, a box body state monitoring module, an abnormal behavior reporting communication module, a human body infrared sensing module, an image acquisition module and an abnormal linkage reporting module; an intelligent sensing module, a control module and a protection module are arranged in the common branch box and the metering box.
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| CN117318295A (en) * | 2023-09-27 | 2023-12-29 | 南方电网数字电网研究院有限公司 | Comprehensive data sensing system and method for power distribution network |
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| CN117318295A (en) * | 2023-09-27 | 2023-12-29 | 南方电网数字电网研究院有限公司 | Comprehensive data sensing system and method for power distribution network |
| CN117318295B (en) * | 2023-09-27 | 2024-05-03 | 南方电网数字电网研究院股份有限公司 | Comprehensive data sensing system and method for power distribution network |
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