CN117559640A - Sensing data monitoring method and system based on transformer substation communication power supply equipment - Google Patents
Sensing data monitoring method and system based on transformer substation communication power supply equipment Download PDFInfo
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- CN117559640A CN117559640A CN202311509454.7A CN202311509454A CN117559640A CN 117559640 A CN117559640 A CN 117559640A CN 202311509454 A CN202311509454 A CN 202311509454A CN 117559640 A CN117559640 A CN 117559640A
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- 238000004891 communication Methods 0.000 title claims abstract description 71
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 230000002159 abnormal effect Effects 0.000 claims abstract description 29
- 238000004458 analytical method Methods 0.000 claims abstract description 6
- 238000000819 phase cycle Methods 0.000 claims description 12
- 230000001360 synchronised effect Effects 0.000 claims description 9
- 230000001953 sensory effect Effects 0.000 claims description 8
- 230000009977 dual effect Effects 0.000 claims description 6
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000005070 sampling Methods 0.000 abstract description 3
- 230000008030 elimination Effects 0.000 abstract description 2
- 238000003379 elimination reaction Methods 0.000 abstract description 2
- 238000012216 screening Methods 0.000 abstract 1
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
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- 238000013518 transcription Methods 0.000 description 1
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Classifications
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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
- H02J13/00002—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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
- G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
- G01R19/16542—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies for batteries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/40—Testing power supplies
-
- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a sensing data monitoring method and a sensing data monitoring system based on substation communication power supply equipment, wherein the method collects real-time data of the power supply equipment in a communication station; analyzing the real-time data based on the data validity to finish data dimension screening; acquiring n sampling values in a t time period, and calculating an average value; establishing a corresponding relation table of load equipment types and current values; comparing the average value in the t time period with the average value of the load current in 1 week; and inquiring a relation table aiming at abnormal conditions, and identifying the type of equipment to make power failure early warning. The sensing and monitoring comprehensive analysis method can collect various operation parameters of the transformer substation communication power supply in real time, upload the operation parameters to the master station monitoring platform through a network, provide display in a graphical interface mode, early warn abnormal state data, compare and analyze the current operation data and historical data, judge fault points in time and analyze fault reasons, and is beneficial to rapid fault elimination so as to ensure safe operation of equipment.
Description
Technical Field
The invention relates to the technical field of power supply equipment detection, in particular to a sensing data monitoring method and system based on substation communication power supply equipment.
Background
The communication power supply equipment in the communication site of the power supply company comprises a rectifying screen, DC/DC communication, a storage battery, a direct current distribution screen and the like. These communication power devices are typically from different manufacturers, having different types and models; different manufacturer products have different communication protocols, and with the update of load equipment, the running mode of the equipment is changed, so that the management of the communication power supply equipment is very complicated.
At present, power supply company communication stations are basically provided with power environment acquisition devices, and a power environment monitoring system master station is built in a power supply company. However, the communication power model, capacity, incoming line, outgoing line, load equipment and other conditions of each communication station are not the same, but the existing movable ring communication power monitoring interface only displays various telemetry, remote signaling and other data of the station power, when the data are abnormal, the operator on duty does not know the working condition and wiring condition of the communication power on site, can not judge the fault point in time, can not perform data analysis of the past year, and brings hidden trouble to the normal operation of the communication system.
Disclosure of Invention
The invention aims to: in order to overcome the defects of the prior art, the invention provides a sensing data monitoring method based on substation communication power supply equipment, solves the problems of equipment hidden danger caused by delayed fault point judgment and untimely abnormal data processing in the prior art, and also provides a sensing data monitoring system based on the substation communication power supply equipment.
The technical scheme is as follows: according to a first aspect of the present invention, there is provided a method of monitoring sensory data based on substation communication power supply equipment, the method comprising the steps of:
s1, collecting real-time load current of each power supply device in a transformer substation communication site, wherein the transformer substation communication power supply carries out alternating current dual power supply input;
s2, analyzing the collected load current based on data validity to obtain effective load current;
s3, acquiring n effective load currents in a t time period, and calculating an average value of the effective load currents in the t time period, wherein the average value is taken as an average value;
s4, comparing the average value with an average value of load current in a preset period, determining whether the load current is normal or not, identifying the type of corresponding load equipment under abnormal conditions, and giving power failure early warning to the load equipment.
Further, the method comprises the steps of:
in the step S2, obtaining the payload current specifically includes:
setting a current threshold, wherein the current threshold is obtained according to the rectifying modules, the number of the rectifying modules is N, the current threshold is set to be the sum of rated currents of (N-1) rectifying modules, if the load current value is smaller than the current threshold, the load current is effective, otherwise, the corresponding load current is an abnormal value, and an alarm is given.
Further, the method comprises the steps of:
in the step S3, the calculating of the average value of the payload current in the t period includes:
s31 traversing all the payload currents obtained during the t period and identifying the largest payload currentV max And minimum payload current V min ；
S32 calculates an average value of the payload current, expressed as: v (V) a ＝(V 1 +V 2 +...+V n -V max -V min )/(n-2)；
Wherein V is 1 ,V 2 ,...,V n The resulting n payload current values.
Further, the method comprises the steps of:
in step S4, determining whether the load current is normal includes:
s41, establishing a relation between the type of the load equipment and the corresponding equipment working current value;
s42 average value V of load current in t time period a Comparing with the average value I of load current in the set comparison period, if |V a -I < 2, then the load current is considered normal, otherwise, if |V a And if the I is more than or equal to 2, identifying the abnormal load equipment type according to the relation between the load equipment type and the corresponding equipment working current value, and further giving power failure early warning to the equipment of the type.
Further, the method comprises the steps of:
in the step S42, identifying the abnormal load device type according to the relationship between the load device type and the corresponding device operation current value specifically includes: the difference value |V a -comparing i| with the operating current value corresponding to each load device type, wherein the closest difference |v a The load device type corresponding to the operating current value of i| is determined to be powered down.
Further, the method comprises the steps of:
in the step S1, the substation communication power supply performs ac dual-power input, two paths of ac power supplies come from different buses, when one path of ac input is powered off, the other path of ac power supply supplies power to the power station communication power supply equipment, and once the two paths of ac power supplies come from the same bus, early warning is performed.
Further, the method comprises the steps of:
the identification method for the two paths of alternating current power sources from the same bus comprises the following steps:
the dual-power switching device monitor collects the voltage and phase sequence of two paths of alternating current input, compares the voltage value and phase sequence value of the two paths of alternating current power, analyzes whether the voltage and phase sequence curves of the two paths of alternating current input are synchronous, if so, judges that the two paths of alternating current input are connected to the same bus, otherwise, judges that the two paths of alternating current input are connected to different buses;
the synchronization judging method comprises the following steps: and if the in-phase voltage difference value corresponding to the two paths of alternating current inputs is zero or the in-phase voltage value corresponding to the two paths of alternating current inputs is unchanged and the phase sequences are consistent, judging that the two paths of alternating current inputs are synchronous, otherwise, the two paths of alternating current inputs are not synchronous.
In another aspect, the present invention also provides a sensing data monitoring system based on a substation communication power supply device, the system comprising:
the data acquisition module is used for acquiring real-time load current of each power supply device in a transformer substation communication site, and the transformer substation communication power supply carries out alternating current dual-power input;
the analysis module is used for analyzing the collected load current based on the data validity to obtain effective load current;
the average value calculation module is used for obtaining n effective load currents in the t time period, calculating the average value of the effective load currents in the t time period and taking the average value as an average value;
the judging module is used for comparing the average value with the average value of the load current in a preset period, determining whether the load current is normal or not, identifying the type of the corresponding load equipment under the abnormal condition, and giving a power failure early warning to the load equipment.
Further, the method comprises the steps of:
in the average value calculation module, calculating an average value of the effective load current in the t time period includes:
traversing all payload currents obtained over a period of t and identifying the largest payload current V therein max And minimum payload current V min The method comprises the steps of carrying out a first treatment on the surface of the The average value of the payload current is calculated, expressed as: v (V) a ＝(V 1 +V 2 +...+V n -V max -V min ) /(n-2); wherein V is 1 ,V 2 ,...,V n The resulting n payload current values.
Further, the method comprises the steps of:
in the judging module, determining whether the load current is normal includes:
establishing a relation between a load device type and a corresponding device working current value; average value V of load current in t time period a Comparing with the average value I of load current in the set comparison period, if |V a -I < 2, then the load current is considered normal, otherwise, if |V a And if the I is more than or equal to 2, identifying the abnormal load equipment type according to the relation between the load equipment type and the corresponding equipment working current value, and further giving power failure early warning to the equipment of the type.
The beneficial effects are that: compared with the prior art, the invention has the following advantages: the method comprises the steps of firstly, carrying out validity check on the collected real-time current, comparing the valid current value with historical data, further judging the load equipment which is in power failure according to the abnormal current value, carrying out early warning, judging the fault point in time, analyzing the fault cause, and being beneficial to quickly removing the fault so as to ensure the safe operation of the equipment; and the communication power supply abnormality of the transformer substation for carrying out alternating current dual power supply input is judged, and if the communication power supply abnormality is abnormal, early warning is carried out, and the operation data and the historical data are monitored from two aspects, so that the overall safe operation of the transformer substation is ensured.
Drawings
Fig. 1 is a flowchart of a sensing data monitoring method based on a substation communication power supply device according to an embodiment of the present invention;
fig. 2 is a block diagram of a transformer substation communication power supply state sensing circuit according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a sensing data monitoring method based on substation communication power supply equipment, which aims at solving the problems that the existing power environment acquisition device of a communication station cannot timely process abnormal data and judge fault points, and the method comprises the following steps as shown in fig. 1 and 2:
s1, collecting real-time load current of each power supply device in a transformer substation communication site, wherein the transformer substation communication power supply inputs alternating current double power supplies.
The data collected simultaneously also comprises: fluctuation of input three-phase voltage and current, unbalance rate, input output power, output voltage, load current variation, ambient temperature, humidity, phase of voltage and current and frequency.
S2, analyzing the collected load current based on data validity to obtain effective load current.
In step S2, obtaining the payload current specifically includes:
setting a current threshold, wherein the current threshold is obtained according to the rectifying modules, the number of the rectifying modules is N, all the rectifying modules of each communication power supply are of the same specification, and rated currents are the same, so that the rated value of the output current of each rectifying module is M (amperes), and the current threshold is set as the sum of the rated currents of (N-1) rectifying modules, namely (N-1) M (amperes); if the load current value is smaller than the current threshold value, the load current value is the effective load current, otherwise, the corresponding load current value is an abnormal value, and an alarm is sent out.
Specifically, the normal data value is smaller than the threshold value, and the alarm is given if the normal data value is larger than or equal to the threshold value (abnormal value); this value is an empirical value. The rectifying screen and the DC/DC communication power supply generally comprise a plurality of rectifying modules, and the rectifying modules have specifications of 75A, 50A, 40A, 30A and the like. The plurality of rectifying modules are provided with a current sharing design, and the plurality of rectifying modules jointly output load current of the communication power supply on average. When the load current value of the communication power supply is close to the sum of the currents of the N rectifying modules, once 1 rectifying module fails, the load capacity of the communication power supply cannot ensure the normal power supply of the load equipment, so that early warning prompt is needed when the load current reaches (N-1) M, namely the total current of the (N-1) rectifying modules.
S3, acquiring n effective load currents in a t time period, and calculating an average value of the effective load currents in the t time period, wherein the average value is taken as an average value;
in step S3, the calculation of the average value of the payload current in the t period includes:
s31 traversing all the payload currents obtained during the t period and identifying the largest payload current V max And minimum payload current V min ；
S32 calculates an average value of the payload current, expressed as: v (V) a ＝(V 1 +V 2 +...+V n -V max -V min )/(n-2)；
Wherein V is 1 ,V 2 ,...,V n The resulting n payload current values. The above formula means that 2 points (if the sampling is disturbed, the value is often big or small) farthest from the average value are removed from a group of sampling data, and the rest n-2 data are averaged, so that the result is relatively reliable.
S4, comparing the average value with an average value of load current in a preset period, determining whether the load current is normal or not, identifying the type of corresponding load equipment under abnormal conditions, and giving power failure early warning to the load equipment.
In step S4, determining whether the load current is normal includes:
s41, establishing a relation between the load equipment type and the corresponding equipment working current value, as shown in the following table
Table 1 load device type and current value correspondence table
| Sequence number | Device name | Operating power of equipmentFlow value (A) |
| 1 | OTN optical transmission equipment | 32 |
| 2 | SDH optical transmission device | 18 |
| 3 | Protective private network | 10 |
| 4 | Router | 5 |
S42 average value V of load current in t time period a Comparing with the average value I of load current in the set comparison period, if |V a -I < 2, then the load current is considered normal, otherwise, if |V a And if the I is more than or equal to 2, identifying the abnormal load equipment type according to the relation between the load equipment type and the corresponding equipment working current value, and further giving power failure early warning to the equipment of the type. In theory, it is required that the load current average value is compared with the average value of the set comparison period, and the longer the comparison period, the smaller the value fluctuation, but the longer the comparison period, the longer the calculation amount cannot be increased, and in this embodiment, the 7-day history data is selected. Since the load current generally fluctuates somewhat, typically between 1 and 2A, a value of |V is selected here a -I < 2, then the load current is considered normal, otherwise, if |V a -i|gtoreq 2, identifying an abnormal load device type from the relationship of the load device type and the corresponding device operating current value.
According to the type of the load equipment and the working current of the corresponding equipmentThe load device type for which the relationship of the values identifies abnormality specifically includes: the difference value |V a -comparing i| with the operating current value corresponding to each load device type, wherein the closest difference |v a The load device type corresponding to the operating current value of i| is determined to be powered down.
In this embodiment, intelligent data analysis can be provided; automatically carrying out power operation data analysis according to multiple conditions such as time, sites and the like, particularly automatically researching and judging various abnormal fluctuation information, actively finding hidden danger and providing power operation mode optimization prompt; taking table 1 as an example, the following are given: the total load current is 65A (the sum of typical values of all loads), the real-time transcription data is 45.6A, the difference value is 19.4A, and the difference value is the value reduced due to the power failure of load equipment; comparing the difference value with a corresponding relation table of load equipment types and current values (the working current value of the load equipment in the table is a field actual measurement value) from large to small, judging that the load equipment is powered down when the difference value is close to the current value of the load equipment types in the table, and analyzing that the most likely power-down load is an SDH-cabinet (18A); the system reports "SDH-JIGUI (19.40) load power down warning notice".
In this embodiment, the method further includes: in step S1, the substation communication power supply performs ac dual-power input, two paths of ac power supply come from different buses, when one path of ac input is powered off, the other path of ac power supply supplies power to the power station communication power supply device, and once the two paths of ac power supply come from the same bus, early warning is performed.
If two paths of alternating current inputs are connected with the same bus in error, when the alternating current inputs are powered off, the two paths of alternating current inputs are powered off simultaneously, and the communication power supply cannot work normally. In order to prevent two paths of alternating current inputs of the communication power supply from being the same bus, the communication power supply real-time sensing and monitoring system is required to automatically judge whether the two paths of inputs of the communication power supply are the same bus or not, and early warning is carried out on the condition that the two paths of inputs of the communication power supply are the same bus, so that operation and maintenance personnel are reminded to process the communication power supply, and the hidden danger of the power supply is eliminated.
Further, the method comprises the steps of:
the identification method of the two paths of alternating current power sources from the same bus comprises the following steps:
the dual-power switching device monitor collects the voltage and phase sequence of two paths of alternating current input, compares the voltage value and phase sequence value of the two paths of alternating current power, analyzes whether the voltage and phase sequence curves of the two paths of alternating current input are synchronous, if so, judges that the two paths of alternating current input are connected to the same bus, otherwise, judges that the two paths of alternating current input are connected to different buses;
the synchronization judging method comprises the following steps: and if the in-phase voltage difference value corresponding to the two paths of alternating current inputs is zero or the in-phase voltage value corresponding to the two paths of alternating current inputs is unchanged and the phase sequences are consistent, judging that the two paths of alternating current inputs are synchronous, otherwise, the two paths of alternating current inputs are not synchronous.
The substation communication power supply real-time sensing and monitoring comprehensive analysis system can collect various operation parameters of the substation communication power supply in real time, the operation data are uploaded to the master station monitoring platform through the network, the monitoring master station provides graphical display of the operation data in a graphical interface mode, and early warning is carried out on abnormal state data, so that comparison analysis can be carried out on current operation data and historical data, fault points can be judged in time, fault reasons can be analyzed, and rapid fault elimination is facilitated to ensure safe operation of equipment.
In another aspect, the present invention also provides a sensing data monitoring system based on a substation communication power supply device, the system comprising:
the data acquisition module is used for acquiring real-time load current of each power supply device in a transformer substation communication site, and the transformer substation communication power supply carries out alternating current dual-power input;
the analysis module is used for analyzing the collected load current based on the data validity to obtain effective load current;
the average value calculation module is used for obtaining n effective load currents in the t time period, calculating the average value of the effective load currents in the t time period and taking the average value as an average value;
the judging module is used for comparing the average value with the average value of the load current in a preset period, determining whether the load current is normal or not, identifying the type of the corresponding load equipment under the abnormal condition, and giving a power failure early warning to the load equipment.
Further, the method comprises the steps of:
in the average value calculation module, calculating an average value of the effective load current in the t time period includes:
traversing all payload currents obtained over a period of t and identifying the largest payload current V therein max And minimum payload current V min The method comprises the steps of carrying out a first treatment on the surface of the The average value of the payload current is calculated, expressed as: v (V) a ＝(V 1 +V 2 +...+V n -V max -V min ) /(n-2); wherein V is 1 ,V 2 ,...,V n The resulting n payload current values.
Further, the method comprises the steps of:
in the judging module, determining whether the load current is normal includes:
establishing a relation between a load device type and a corresponding device working current value; average value V of load current in t time period a Comparing with the average value I of load current in the set comparison period, if |V a -I < 2, then the load current is considered normal, otherwise, if |V a And if the I is more than or equal to 2, identifying the abnormal load equipment type according to the relation between the load equipment type and the corresponding equipment working current value, and further giving power failure early warning to the equipment of the type.
Other technical features of the sensing data monitoring system based on the transformer substation communication power supply equipment are the same as those of the monitoring method, and are not described in detail herein.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present invention without departing from the spirit or scope of the embodiments of the invention. Thus, if such modifications and variations of the embodiments of the present invention fall within the scope of the claims and the equivalents thereof, the present invention is also intended to include such modifications and variations.
Claims (10)
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102066956A (en) * | 2008-04-14 | 2011-05-18 | 努沃尔特股份有限公司 | Electrical anomaly detection method and system |
| CN103176078A (en) * | 2011-12-26 | 2013-06-26 | 株式会社宇进产电 | Power quality monitoring apparatus for railway power system |
| CN107733357A (en) * | 2016-08-11 | 2018-02-23 | 苏州瑞得恩光能科技有限公司 | The fault detection algorithm of battery panel in a kind of large-sized photovoltaic power station |
| CN109713793A (en) * | 2018-12-26 | 2019-05-03 | 北京四方继保自动化股份有限公司 | A kind of substation station power supply presence assessment system and method |
| KR102128744B1 (en) * | 2019-01-30 | 2020-07-01 | 주식회사 대경산전 | Apparatus for power monitoring of electric power equipment |
| CN112134352A (en) * | 2020-08-31 | 2020-12-25 | 国网山东省电力公司信息通信公司 | An intelligent analysis system and method for hidden dangers of communication power supply in substations |
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- 2023-11-13 CN CN202311509454.7A patent/CN117559640B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102066956A (en) * | 2008-04-14 | 2011-05-18 | 努沃尔特股份有限公司 | Electrical anomaly detection method and system |
| CN103176078A (en) * | 2011-12-26 | 2013-06-26 | 株式会社宇进产电 | Power quality monitoring apparatus for railway power system |
| CN107733357A (en) * | 2016-08-11 | 2018-02-23 | 苏州瑞得恩光能科技有限公司 | The fault detection algorithm of battery panel in a kind of large-sized photovoltaic power station |
| CN109713793A (en) * | 2018-12-26 | 2019-05-03 | 北京四方继保自动化股份有限公司 | A kind of substation station power supply presence assessment system and method |
| KR102128744B1 (en) * | 2019-01-30 | 2020-07-01 | 주식회사 대경산전 | Apparatus for power monitoring of electric power equipment |
| CN112134352A (en) * | 2020-08-31 | 2020-12-25 | 国网山东省电力公司信息通信公司 | An intelligent analysis system and method for hidden dangers of communication power supply in substations |
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