CN210166487U - Power supply station area power failure fault warning device based on edge calculation - Google Patents
Power supply station area power failure fault warning device based on edge calculation Download PDFInfo
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Abstract
本实用新型公开了基于边缘计算的供电台区停电故障告警装置，通过合并单元收集供电台区侧的户表停电信息，并按照拓扑结构将停电数据进行分类；然后通过处理单元控制时钟同步单元，采用时钟校对所有电表的停电时间，确保低压户表上传的时间戳一致；然后通过校验单元，在收到电表的停电事件上报数据后，下发召测指令；通过边缘计算单元，将收集的供电台区停电事件进行本地边缘计算；最后，通过GPRS传输单元将停电信息传输给主站后发送给配抢人员及用户。在本地进行数据的边缘计算并将结果数据发送给主站，可以减轻主站计算压力；本实用新型在供电台区本地侧进行数据合并，效率高，速度快，传输结果数据少，具有较好的实用性。
The utility model discloses a power outage fault alarm device in the power supply station area based on edge computing. The power outage information of the household meter on the power supply station area side is collected by the merging unit, and the power outage data is classified according to the topology structure; then the clock synchronization unit is controlled by the processing unit, Use the clock to calibrate the power outage time of all electricity meters to ensure that the time stamps uploaded by the low-voltage household meters are consistent; then through the verification unit, after receiving the data reported by the power outage event of the electricity meter, the test command is issued; through the edge computing unit, the collected The power outage event in the power supply station area performs local edge computing; finally, the outage information is transmitted to the main station through the GPRS transmission unit and then sent to the dispatchers and users. Performing edge calculation of data locally and sending the result data to the main station can reduce the calculation pressure of the main station; the utility model performs data merging on the local side of the power supply station area, with high efficiency, high speed, less transmission result data, and better performance. practicability.
Description
Technical Field
The utility model belongs to the technical field of electric power, concretely relates to power supply platform district power failure alarm device based on edge calculation.
Background
The power distribution area is a carrier for power supply in cities and rural areas, the stability and the safety of the power distribution area are directly related to the power supply safety of enterprises and thousands of households, and the power distribution area has important economic value and social significance. In the early power grid construction, the more important links are power generation and power transmission, and the distribution station is often overlooked. In recent years, a large amount of capital is invested in the state for distribution networks to carry out urban network and rural network transformation, a large amount of lines, switches, transformers and the like are transformed, and a distribution area is upgraded from the aspect of hardware. However, the monitoring, control and management of the low-voltage household meter are always in the supervision 'blind area', and mainly have the following problems:
1. the power failure fault of the power supply area is in the supervision blind area, and the running state of the low-voltage distribution network cannot be mastered in time
At present, the data of a low-voltage distribution network monitored by an operation inspection part comes from a power utilization information acquisition system, monitoring equipment only has a distribution transformer, and the data is delayed for 2 days. The low-voltage user has no active sensing means when power is off, and can only be passively acquired through user fault repair, so that the further improvement of the customer service level is restricted; the defect abnormity of the low-voltage distribution network line can be only found through manual on-site inspection tour, the existing personnel strength is difficult to meet the inspection tour requirement, and the problem of no damage and no repair exists.
2. The low-voltage user fault processing has low timeliness rate and more customer complaints
When a power distribution operation and maintenance worker is in fault first-aid repair, the problems that the fault of the low-voltage power distribution network is not found timely, the fault is positioned inaccurately and the like often occur, so that the fault treatment timeliness rate of the low-voltage power distribution network is low and the user complaints are caused after the user reports the repair.
The power failure of the transformer area and the power failure of the intelligent ammeter of the user cannot be known in time, the demand of the power utilization client for power supply service is increased day by day, and the timely informing and power supply recovery after the power utilization client fails and has a power failure are very important. At present, after a low-voltage user of a power supply company has power failure, the user does not know the power failure condition and reason, so that more inquiry calls and complaint calls are caused; the power supply company cannot know the fault occurrence place and the influence range in time, so that the power restoration time is long, the user satisfaction is low, and the high-quality service level is influenced.
The power failure event data of the multiple electric meters cannot be combined, at present, after power failure, the multiple intelligent electric meters send power failure alarm data at the same time, data combination calculation cannot be carried out, and fault occurrence points cannot be judged through the power failure information of the multiple intelligent electric meters.
The current power distribution network investment decision evaluation method mainly comprises an intelligent ammeter voltage judgment method and a power failure event reporting technology, and has the main defects that:
1. the voltage judgment method of the intelligent electric meter infers whether the intelligent electric meter has power failure or not by judging the voltage of the intelligent electric meter
At present, through the intelligent ammeter of the user is patrolled by the electricity utilization information acquisition concentrator in turn, when a fault occurs behind the meter of the intelligent ammeter, the voltage of the electricity utilization information acquisition concentrator is patrolled to be 0 in turn, and the power failure is judged, but the mode is that the cycle of the electricity utilization information acquisition concentration period is long, and the power failure can be judged only in 2 hours; and secondly, the fault behind the meter can only be judged, and after the fault occurs in front of the meter, the intelligent electric meter is powered off, and data transmission cannot be carried out.
2. Active reporting of power outage events
The Australia adopts a technology of actively reporting the power failure event of the intelligent electric meter to judge, the super capacitor in the high-speed dual-mode communication unit is used for supplying power to the communication unit within 60 seconds after power failure, and the expansion part in the micropower wireless interconnection and intercommunication expansion protocol is used for actively reporting the power failure event of the intelligent electric meter generated by the communication unit. And after the power-off event of the concentrator is reported to the master station, the back-stage master station carries out fault study and judgment to judge whether the whole station area has power failure, a certain phase has power failure or a single household has power failure.
However, when the product is applied in a large scale, the main station system receives a large amount of power failure information of the user meter, so that information congestion of the main station system is caused, the fault studying and judging capability of the main station is greatly reduced, and even the main station is possibly down, so that the structure is not suitable for large-scale application. Therefore, edge computing equipment is needed to be adopted to locally merge and process power supply information of the power supply station area and report a processing result to the master station, so that the problem of information congestion caused by large concurrent data of the master station is solved. The active warning of power failure faults in the power supply area is realized, and the power supply service level is improved.
The edge computing means that a device integrating network, computing, storage and application core capabilities is adopted at the side of a power distribution station to provide nearest-end service nearby. The application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. The edge computation is between the physical entity and the industrial connection, or on top of the physical entity. And the historical data of the edge calculation can still be accessed through background cloud calculation.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a power supply station area power failure fault warning device based on edge calculation, which carries out the edge calculation of data locally and sends the result data to a master station, thereby reducing the calculation pressure of the master station; the utility model discloses carry out data merging at power supply platform district local side, it is efficient, fast, transmission result data is few, has better practicality.
The utility model discloses mainly realize through following technical scheme: the power failure fault warning device for the power supply area based on the edge calculation comprises a data acquisition module and an edge calculation control module; the edge calculation control module comprises a merging unit, a processing unit, a clock synchronization unit, a verification unit, an edge calculation unit and a GPRS transmission unit; the data acquisition module is used for acquiring power failure event data sent after power failure of the power supply area, transmitting the data to the merging unit, collecting power failure information of the household meter at the side of the power supply area through the merging unit, and classifying the power failure data according to a topological structure; then, a clock synchronization unit is controlled through a processing unit, the power failure time of all the electric meters is corrected by adopting a clock, and the consistency of timestamps uploaded by the low-voltage user meters is ensured; then, after receiving the reported data of the power failure events of the ammeter, issuing a test calling instruction through a verification unit, and performing local edge calculation on the collected power failure events of the power supply area through an edge calculation unit; and finally, transmitting the power failure information to the master station through the GPRS transmission unit and then transmitting the power failure information to the robbers and the users.
In order to better realize the utility model, further, if the voltage is called, the power failure event is judged to be a false power failure event, no alarm notice is sent, and no work order is dispatched; if communication interruption or voltage 0 is called out, the real power failure event is judged, an alarm is sent to inform the user and the staff for allocation and robbery, and meanwhile, a work order is dispatched.
For better realization, the utility model discloses, it is further that merging unit carries out topology time classification according to the relation of transformer-table case-household meter, discerns transformer-table case-household meter, classifies the ammeter power failure information of same tree structure into the node.
For better realization the utility model discloses, it is further, data acquisition module includes A looks collection module, B looks collection module, C looks collection module, A looks collection module, B looks collection module, C looks collection module spread into merging cells with data respectively into.
In order to better realize the utility model, the A-phase acquisition module, the B-phase acquisition module and the C-phase acquisition module respectively comprise a sampling unit, a monitoring unit, a processing unit and a transmission unit, and the sampling unit is used for acquiring power failure event data sent after power failure of the power supply area; then, recording and collecting data analog quantity through a monitoring unit; then sampling and converting the analog data into a transmittable numerical signal through a processing unit; and transmitting the data to the data merging unit through the high-speed carrier module of the transmission unit.
In order to better realize the utility model, the utility model further comprises a power module, wherein the power module adopts a bridge rectifier circuit and is used for supplying power to the power failure fault warning device in the power supply area and charging the backup super capacitor; when power is cut off, the power supply module loses power supply capacity, the super capacitor releases stored electric energy, and the device is kept working.
The utility model has the advantages that:
(1) the edge calculation of data is carried out locally, different power failure types such as power failure of the whole area, single-phase power failure, meter box power failure and single-family power failure are researched and judged, and the result data are sent to the main station, so that the program concurrency pressure of the main station is reduced, and the main station is prevented from being crashed due to large concurrent data volume.
(2) The utility model discloses utilize the monitoring unit of three-phase to gather the power failure incident data that send after the power failure of power supply platform district, carry out topological time classification according to becoming-case-family's relation, discern transformer-table case-house table, classify this node with the ammeter power failure information of same tree structure, utilize the clock school to the technique, ensure that all ammeter power failure time's timestamp is unanimous.
(3) The power failure data merging technology of the power supply area better conforms to distributed calculation: traditional power failure data collection can only carry out data transparent transmission, and data transmission returns the main website after, and the reuse power failure data's ammeter sign indicating number corresponds main website system archival data, the utility model discloses merge data local side at the power supply platform district, it is efficient, fast, transmission result data is few, has better practicality.
(4) The power supply area power failure research and judgment technology is more accurate in judgment, a traditional household meter power failure event is uploaded and does not have a check function, a large amount of useless work is easily caused by power failure event data which are mistakenly sent due to meter flash, and whether the power failure of an area is real or not can be judged more accurately after a voltage sending instruction is summoned.
(5) The power supply distribution room power failure technology based on the edge computing technology is more efficient, traditional power failure fault study and judgment are carried out, data uploaded to a main station are checked and judged according to the fault study and judgment, if the concurrent data volume is large, the main station is down, edge computing of the data is carried out locally, different power failure types such as power failure of the whole distribution room, single-phase power failure, power failure of a meter box, power failure of a single family and the like are studied and judged, and then result data are sent to the main station, so that the computing pressure of the main station can be relieved.
(6) The utility model discloses a district centralized monitoring mode, through the electric state monitoring and the abnormal alarm to district's summary table, user's ammeter, after the ammeter has a power failure and takes place, power supply district power failure alarm device can send the power failure information with the form of modularization SMS for the user with join in marriage and rob the staff.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
Example 1:
the power failure fault warning device for the power supply area based on the edge calculation is shown in fig. 1 and comprises a data acquisition module and an edge calculation control module; the edge calculation control module comprises a merging unit, a processing unit, a clock synchronization unit, a verification unit, an edge calculation unit and a GPRS transmission unit; the data acquisition module is used for acquiring power failure event data sent out after power failure of the power supply area.
The method comprises the steps of carrying out local calculation on data returned by a data acquisition device, firstly collecting power failure information of all household meters on the side of a power supply area through a merging unit, classifying the power failure data according to a topological structure, secondly controlling a clock unit through a processing unit, correcting the power failure time of all the household meters by adopting a clock, ensuring consistent timestamps uploaded by low-voltage household meters, secondly issuing a summoning instruction after receiving power failure event reported data of the household meters through a checking unit, thirdly carrying out local edge calculation on all collected power supply area power failure events through an edge calculation unit, researching different power failure types such as power failure of the whole area, single-phase power failure, power failure of a meter box, power failure of a single household and the like, and finally transmitting the power failure information to a master station through a GPRS (general packet radio service) transmission unit and then transmitting the power failure information to a configuration and robbery worker and a.
The utility model discloses carry out topology time classification according to becoming-case-family's relation, discern transformer-table case-family table, classify same tree structure's ammeter power failure information this node, utilize the clock proofreading technique, ensure that all ammeter power failure time's timestamp is unanimous.
The edge calculation of data is carried out locally, different power failure types such as power failure of the whole area, single-phase power failure, meter box power failure and single-family power failure are researched and judged, and the result data are sent to the main station, so that the program concurrency pressure of the main station is reduced, and the main station is prevented from being crashed due to large concurrent data volume.
The power failure data merging technology of the power supply area better conforms to distributed calculation: traditional power failure data collection can only carry out data transparent transmission, and data transmission returns the main website after, and the reuse power failure data's ammeter sign indicating number corresponds main website system archival data, the utility model discloses merge data local side at the power supply platform district, it is efficient, fast, transmission result data is few, has better practicality.
The power supply area power failure research and judgment technology is more accurate in judgment, a traditional household meter power failure event is uploaded and does not have a check function, a large amount of useless work is easily caused by power failure event data which are mistakenly sent due to meter flash, and whether the power failure of an area is real or not can be judged more accurately after a voltage sending instruction is summoned.
The power supply distribution room power failure technology based on the edge computing technology is more efficient, traditional power failure fault study and judgment are carried out, data uploaded to a main station are checked and judged according to the fault study and judgment, if the concurrent data volume is large, the main station is down, edge computing of the data is carried out locally, different power failure types such as power failure of the whole distribution room, single-phase power failure, power failure of a meter box, power failure of a single family and the like are studied and judged, and then result data are sent to the main station, so that the computing pressure of the main station can be relieved.
Example 2:
the embodiment is optimized on the basis of embodiment 1, and the power failure of a single household is researched and judged as follows: the master station receives the power failure event data of a single household, sends a voltage calling instruction of the household electric meter, if the voltage of the household is a 220V normal value, the fault is judged to be a false fault or an instantaneous fault, no alarm notification is sent, and no work order is dispatched; if the communication of the voltage of the user is failed or the voltage is 0, the power failure is judged, an alarm is sent to inform the user and the staff to be allocated for robbery, and meanwhile, a work order is dispatched.
And (3) power failure study and judgment of the platform area: and the master station receives the power failure events actively reported by the plurality of electric meters, firstly sends a voltage calling instruction to the district general meter, judges that the district has power failure if the voltage of the general meter is called to be 0V or the communication fails, and sends an alarm to notify all users and the allocation and robbery personnel in the district and simultaneously sends a work order. If the voltage of the general meter is detected to be a normal value, a voltage detecting instruction is sent to all the user meters in the transformer area, if the voltage of all the users is detected to be a normal value of 220V, the fault is judged to be a false fault or an instantaneous fault, no alarm notification is sent, and no work order is dispatched; if the communication failure or the voltage of part of the users is 0 and the voltage of part of the users is 220V, the suspected line power failure fault is judged, an alarm is sent to inform the users and the staff for allocation and robbery, and meanwhile, a work order is dispatched.
Other parts of this embodiment are the same as embodiment 1, and thus are not described again.
Example 3:
in this embodiment, optimization is performed on the basis of embodiment 1 or 2, and as shown in fig. 1, the data acquisition module includes an a-phase acquisition module, a B-phase acquisition module, and a C-phase acquisition module. The A-phase acquisition module, the B-phase acquisition module and the C-phase acquisition module respectively comprise a sampling unit, a monitoring unit, a processing unit and a transmission unit.
The utility model discloses a power failure incident data that send after the power failure of three-phase sampling unit collection power supply platform district, then carry out the record and the collection of data analog quantity through the monitoring unit, secondly again, sample the conversion to analog data through the processing unit, trun into numerical signal that can transmit, at last, through the high-speed carrier module of transmission unit, with data transmission to data merging cell.
The utility model discloses a district centralized monitoring mode, through the electric state monitoring and the abnormal alarm to district's summary table, user's ammeter, after the ammeter has a power failure and takes place, power supply district power failure alarm device can send the power failure information with the form of modularization SMS for the user with join in marriage and rob the staff.
The rest of this embodiment is the same as embodiment 1 or 2, and therefore, the description thereof is omitted.
Example 4:
in this embodiment, the power supply system is optimized on the basis of any one of 1 to 3, and further includes a power supply module, as shown in fig. 1, where the power supply module employs a bridge rectifier circuit and is used to supply power to the power failure fault alarm device in the power supply area and charge a backup super capacitor; when power is cut off, the power supply module loses power supply capacity, the super capacitor releases stored electric energy, and the device is kept working.
Other parts of this embodiment are the same as any of embodiments 1 to 3, and thus are not described again.
The above is only the preferred embodiment of the present invention, not to the limitation of the present invention in any form, all the technical matters of the present invention all fall into the protection scope of the present invention to any simple modification and equivalent change of the above embodiments.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111562538A (en) * | 2020-05-11 | 2020-08-21 | 昆明能讯科技有限责任公司 | Expert diagnosis method and device for electric energy meter operation |
| CN112433127A (en) * | 2020-11-13 | 2021-03-02 | 珠海许继电气有限公司 | Fault type identification method and device based on platform area intelligent fusion terminal |
| CN112904146A (en) * | 2021-01-22 | 2021-06-04 | 南京海兴电网技术有限公司 | Low-voltage user station area power failure fault positioning device and method based on HPLC |
| CN113533832A (en) * | 2021-06-11 | 2021-10-22 | 中国电力科学研究院有限公司 | A method and system for power outage perception for users in station area based on intelligent IoT agent |
| CN113626962A (en) * | 2021-08-06 | 2021-11-09 | 南方电网数字电网研究院有限公司 | Cloud-side-end-coordinated user outage and restoration monitoring method and system and computer equipment |
| CN113759165A (en) * | 2021-08-13 | 2021-12-07 | 贵州电网有限责任公司遵义供电局 | Analysis method and equipment for power failure perception analysis of power distribution network |
| CN114024367A (en) * | 2021-11-08 | 2022-02-08 | 南京师范大学 | Low-voltage transformer area fault processing method and equipment based on edge calculation |
| CN114019299A (en) * | 2021-09-29 | 2022-02-08 | 国家电网有限公司 | A method and system for actively researching, judging and reporting power failure information of special transformer users |
| CN114062801A (en) * | 2021-10-15 | 2022-02-18 | 云南电网有限责任公司 | Power failure event quasi-real-time monitoring method and system based on edge calculation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111562538A (en) * | 2020-05-11 | 2020-08-21 | 昆明能讯科技有限责任公司 | Expert diagnosis method and device for electric energy meter operation |
| CN112433127A (en) * | 2020-11-13 | 2021-03-02 | 珠海许继电气有限公司 | Fault type identification method and device based on platform area intelligent fusion terminal |
| CN112904146A (en) * | 2021-01-22 | 2021-06-04 | 南京海兴电网技术有限公司 | Low-voltage user station area power failure fault positioning device and method based on HPLC |
| CN113533832A (en) * | 2021-06-11 | 2021-10-22 | 中国电力科学研究院有限公司 | A method and system for power outage perception for users in station area based on intelligent IoT agent |
| CN113533832B (en) * | 2021-06-11 | 2024-05-14 | 中国电力科学研究院有限公司 | Intelligent Internet of things agent-based power outage sensing method and system for users in platform |
| CN113626962A (en) * | 2021-08-06 | 2021-11-09 | 南方电网数字电网研究院有限公司 | Cloud-side-end-coordinated user outage and restoration monitoring method and system and computer equipment |
| CN113759165A (en) * | 2021-08-13 | 2021-12-07 | 贵州电网有限责任公司遵义供电局 | Analysis method and equipment for power failure perception analysis of power distribution network |
| CN114019299A (en) * | 2021-09-29 | 2022-02-08 | 国家电网有限公司 | A method and system for actively researching, judging and reporting power failure information of special transformer users |
| CN114062801A (en) * | 2021-10-15 | 2022-02-18 | 云南电网有限责任公司 | Power failure event quasi-real-time monitoring method and system based on edge calculation |
| CN114024367A (en) * | 2021-11-08 | 2022-02-08 | 南京师范大学 | Low-voltage transformer area fault processing method and equipment based on edge calculation |
| CN114024367B (en) * | 2021-11-08 | 2023-09-19 | 南京师范大学 | Low-voltage area fault processing method and equipment based on edge calculation |
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