CN114675584A - Power equipment monitoring device and monitoring system based on big data analysis - Google Patents
Power equipment monitoring device and monitoring system based on big data analysis Download PDFInfo
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- CN114675584A CN114675584A CN202210505476.5A CN202210505476A CN114675584A CN 114675584 A CN114675584 A CN 114675584A CN 202210505476 A CN202210505476 A CN 202210505476A CN 114675584 A CN114675584 A CN 114675584A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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Abstract
The invention discloses a power equipment monitoring device and a monitoring system based on big data analysis, which comprises: the data acquisition unit comprises a sensor group and a conversion module for signal preprocessing; the data storage unit comprises a database, and a record log is arranged in the database; the dynamic early warning unit comprises a dynamic monitoring module, and the dynamic monitoring module selectively sends out a first signal after comparing the data value sent by the conversion module with the safety threshold value of the memory of the dynamic monitoring module; the static early warning unit comprises a static monitoring module, the static monitoring module extracts a record log in the database and sets maintenance time, and the static monitoring module sends out a second signal after the maintenance time is reached; a data processing unit including a central processing unit; and the data transmission unit comprises a GSM communication module. The invention adopts double monitoring of static monitoring and dynamic monitoring to comprehensively monitor various performances of the power equipment, thereby being convenient for power engineers to quickly determine the power equipment to be monitored or maintained and improving the monitoring efficiency.
Description
Technical Field
The invention relates to the technical field of power equipment monitoring, in particular to a power equipment monitoring device and a power equipment monitoring system based on big data analysis.
Background
With the development of economy, the improvement of the material level of people and the improvement of industrial output in China, the power demand of various industries is gradually increased, and particularly in economically developed areas, the power consumption is extremely high, so that the China needs to be matched with more powerful power industry. In the current development, the capacity of a power grid is larger and larger, the transmission distance is longer and longer, the voltage grade of a power transmission line is also continuously improved, and the construction scale of a high-voltage transformer substation and the construction scale of an overhead power transmission line are not enlarged. In which, no matter in a home or a business, there is a corresponding power device at each transfer hub for power transmission.
The power equipment generally comprises a high-voltage switch cabinet and internal high-voltage equipment (such as a circuit breaker, a PT (potential transformer), a CT (current transformer), a busbar, a cable connector and the like), and the normal production of the power industry is directly influenced by the operation reliability of the high-voltage switch cabinet and the internal high-voltage equipment. However, these devices are inevitably affected by various factors such as electricity, heat, machinery and environment during operation, and the insulation medium thereof is continuously deteriorated or the high voltage device is gradually aged, so that the operation state of the power device is not good, even various faults occur, and a local or even large-area power failure is caused, thereby causing huge direct or indirect economic loss. The reasons for the above problems are many, such as partial discharge, short circuit of cable, poor contact, etc., but these problems need to be solved by power engineers, and the huge amount of transmission lines and power equipment makes the daily simple maintenance work very difficult to implement, and the power engineers cannot efficiently monitor and maintain the huge power equipment.
Disclosure of Invention
The invention aims to provide a power equipment monitoring device based on big data analysis, which has the advantages of dual monitoring of static monitoring and dynamic monitoring, improved early warning capability and active reporting.
The invention is realized by the following technical scheme:
an electrical equipment monitoring device based on big data analysis, comprising: the data acquisition unit comprises a sensor group installed in the power equipment and a conversion module for acquiring real-time signals of the sensor group to perform signal preprocessing, wherein the sensor group is connected with the conversion module and is used for acquiring the real-time signals of partial discharge, temperature, charged state and fault state generated in the operation of the power equipment; the data storage unit comprises a database for storing data values, the database is connected with the conversion module and records the data values sent by the conversion module, and a recording log of each data value of the power equipment is formed in the database; the dynamic early warning unit comprises a dynamic monitoring module connected with the conversion module, and the dynamic monitoring module selectively sends out a first signal after comparing the data value sent by the conversion module with the safety threshold value of the memory of the conversion module; the static early warning unit comprises a static monitoring module, the static monitoring module extracts a record log in the database and sets maintenance time, and the static monitoring module sends out a second signal after the maintenance time is reached; a data processing unit including a central processor for receiving a first signal and a second signal; and the data transmission unit comprises a GSM communication module connected with the central processing unit, and the GSM communication module transmits the signal to the monitoring center in a wireless manner.
By adopting the technical scheme, data collection can be carried out on each state of the power equipment, thereby being convenient for regular monitoring after effective data recording is completed, static monitoring and dynamic monitoring are adopted to comprehensively monitor each performance of the power equipment, wherein, the dynamic monitoring module can send the information through the central processing unit after a certain unstable state of the power equipment triggers an internal safety protocol of the power equipment, the static monitoring module can send the information through the central processing unit after the expected overhaul time of a certain device of the power equipment is critical, and finally the information is received by the monitoring center. After the data screening, the monitoring center reports a signal required to be maintained to the power engineer by the passive-to-active mode, so that the power engineer can quickly determine the power equipment required to be monitored or maintained, and the monitoring efficiency is improved.
Further setting the following steps: the power equipment monitoring device further comprises a camera unit, the camera unit comprises a camera, a controller and a wired transmission module, the camera, the controller and the wired transmission module are arranged in the power equipment and are electrically connected in sequence, wherein the camera is used for acquiring real-time images inside the power equipment, the camera unit is controlled by a central processing unit, and the central processing unit sends image information acquired by the camera to a monitoring center before sending signals.
By adopting the technical scheme, when the central processing unit receives any one of the first signal and the second signal, the central processing unit can extract the image information of the electric power equipment through the camera shooting unit, so that the real-time image of the required detection time period of the electric power equipment is accurately acquired, and the real-time image is extracted.
Further setting the following steps: the sensor group comprises a capacitive coupling sensor, a wireless passive temperature sensor, a short-circuit current sensor and a ground current sensor, the capacitive coupling sensor is used for collecting partial discharge signals in the power equipment, the wireless passive temperature sensor is used for collecting temperature signals in the power equipment, the short-circuit current sensor is used for collecting short-circuit fault signals in the power equipment, and the ground current sensor is used for collecting ground fault signals in the power equipment.
By adopting the technical scheme, the capacitive coupling type sensor can monitor partial discharge in the power equipment, the wireless passive temperature sensor can monitor the temperature in the power equipment, and the short-circuit current sensor and the grounding current sensor can monitor current abnormity in the power equipment.
Further setting the following steps: the conversion module performs digital filtering and signal amplification on the partial discharge signal, the temperature signal, the short-circuit fault signal and the ground fault signal, performs A/D conversion and then records the signals into a database.
Through adopting above-mentioned technical scheme, in order to avoid external noise, the unstable interference of contact, the signal that the conversion module was gathered the sensor carries out the preliminary treatment.
Further setting the following steps: the safety threshold value in the dynamic monitoring module is a safety critical point of the power equipment in partial discharge, temperature, charged state and fault state, when any one data value exceeds the safety threshold value, the dynamic monitoring module sends a first signal to the central processing unit, and when all the data values are within the safety threshold value, the dynamic monitoring module keeps silent.
By adopting the technical scheme, aiming at different power equipment and different installation places, the selection of each safety threshold inside the power equipment can be adjusted according to the experience of a power engineer.
Further setting the following steps: the database is also provided with a manual writing module which can manually record and input the device maintenance, the device replacement, the device addition and the device removal in the power equipment into the database.
By adopting the technical scheme, after maintenance is completed, the old recorded log can be covered after the new recorded log is manually written in, so that the static monitoring module readjusts the maintenance time.
Further setting the following steps: the static monitoring module abstracts data of uniform type from the recorded log and classifies the data, and the data of the same type is used as the basis of subsequent analysis; extracting the data of the same type, and setting corresponding overhaul time according to the characteristics of the data; and when any maintenance time is critical, the static monitoring module sends a second signal to the central processing unit.
By adopting the technical scheme, the log can classify the partial discharge condition, the temperature condition and the current condition inside the power equipment and set different maintenance time according to the classification condition, and all real-time contents are sent to the central processing unit after the maintenance time arrives.
Further setting the following steps: the log content also comprises the safety maintenance time appointed by the device, the regular maintenance time of the device and the time of easily occurring dangerous case in the history.
The invention also aims to provide a power equipment monitoring system based on big data analysis, which has the advantages of big data analysis and fixed-point monitoring.
The invention is realized by the following technical scheme:
the utility model provides an electrical equipment monitored control system based on big data analysis, includes two at least as above-mentioned electrical equipment monitoring device and surveillance center, pass through wireless communication connection's a plurality of mobile terminal with the surveillance center, a plurality of electrical equipment monitoring device all link into the surveillance center simultaneously, and the surveillance center sends electrical equipment information for nearby mobile terminal and this mobile terminal obtains image information, data value and the log of record that corresponds electrical equipment from the surveillance center through big data analysis.
By adopting the technical scheme, the mobile terminal represents a field power engineer, and the monitoring center can accurately send the information of the power equipment to be monitored to the nearby power engineer, so that the power equipment can arrive at the field at the highest speed to implement field detection and maintenance, and the safety of the power equipment can be timely, efficiently and effectively improved.
Further setting the following steps: the mobile terminal is internally provided with a GPS module and/or a Beidou module.
In conclusion, the beneficial technical effects of the invention are as follows:
(1) the running information and the monitoring information of the power equipment can be effectively collected in a log recording mode, the follow-up monitoring time and maintenance date can be quickly determined according to the data information, and the monitoring efficiency is improved;
(2) the dynamic monitoring module can send alarm information after a certain unstable state of the power equipment is triggered, the static monitoring module can send early warning information after the expected overhaul time of a certain device of the power equipment is critical, and the monitoring intensity of the power equipment is improved through double monitoring of dynamic monitoring and static monitoring;
(3) monitoring or maintenance information is initiatively reported to a power engineer through power equipment, and the information is sent to a nearby mobile terminal through a monitoring center, so that timely follow-up is realized.
Drawings
FIG. 1 is a schematic diagram of a first embodiment;
FIG. 2 is a schematic diagram of the second embodiment.
Reference numerals: 1. a data acquisition unit; 11. a conversion module; 12. a capacitive coupling sensor; 13. a wireless passive temperature sensor; 14. a short circuit current sensor; 15. a ground current sensor; 2. a data storage unit; 21. a database; 22. a manual writing module; 3. a dynamic early warning unit; 31. a dynamic monitoring module; 4. a static early warning unit; 41. a static monitoring module; 5. a data processing unit; 51. a central processing unit; 6. a data transmission unit; 61. a GSM communication module; 7. a monitoring center; 8. an image pickup unit; 81. a camera; 82. a controller; 83. a wired transmission module; 9. a mobile terminal.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Referring to fig. 1, a power equipment monitoring device based on big data analysis includes a data acquisition unit 1, a data storage unit 2, a dynamic early warning unit 3, a static early warning unit 4, a data processing unit 5, a data transmission unit 6, and a camera unit 8.
The data acquisition unit 1 comprises sensor groups installed in the power equipment, one or more sensor groups can be arranged in each power equipment, and the sensor groups are used for acquiring real-time signals of partial discharge, temperature, charged state and fault state generated in the operation of the power equipment. The sensor group comprises a capacitive coupling sensor 12, a wireless passive temperature sensor 13, a short circuit current sensor 14 and a ground current sensor 15. The capacitive coupling sensor 12 is used for collecting partial discharge signals in the power equipment and monitoring partial discharge in the power equipment; the wireless passive temperature sensor 13 is used for acquiring a temperature signal in the power equipment and monitoring the temperature in the power equipment; the short-circuit current sensor 14 is used for collecting short-circuit fault signals in the power equipment, and the grounding current sensor 15 is used for collecting grounding fault signals in the power equipment, so that current abnormity in the power equipment can be monitored. The data acquisition unit 1 further comprises a conversion module 11, and the conversion module 11 is connected with the capacitive coupling sensor 12, the wireless passive temperature sensor 13, the short-circuit current sensor 14 and the grounding current sensor 15 at the same time and is used for receiving partial discharge signals, temperature signals, short-circuit fault signals and grounding fault signals. The conversion module 11 performs digital filtering and signal amplification on the local discharge signal, the temperature signal, the short-circuit fault signal and the ground fault signal, performs a/D conversion to generate various types of data values, and sends the data values to the data storage unit 2. In order to avoid interference of external noise and unstable contact, the conversion module 11 preprocesses signals acquired by the sensor.
The data storage unit 2 comprises a database 21, the database 21 is connected with the conversion module 11 and records the data values sent by the conversion module 11, and the database 21 is used for storing various types of data values. A log of various data values of the power equipment is formed in the database 21, and the database 21 can be selected as a hard disk processor and is provided with an interface. The database 21 is further provided with a manual writing module 22 connected with an interface thereof, and an electric power engineer can manually record time and device types and input the time and device types into the database 21 after completing device maintenance, device replacement, device addition and device removal in the electric power equipment. The log content also comprises the safety maintenance time appointed by the device, the regular maintenance time of the device and the time easily causing dangerous case in the history record, and the time can be manually input.
The dynamic early warning unit 3 comprises a dynamic monitoring module 31, a processor is arranged in the dynamic monitoring module 31, the dynamic monitoring module 31 is electrically connected with the conversion module 11, the dynamic monitoring module 31 selectively sends out a first signal after comparing a data value sent by the conversion module 11 with a safety threshold of a memory of the conversion module, and the first signal is warning information. The safety threshold in the dynamic monitoring module 31 is a safety critical point of the power equipment in a partial discharge state, a temperature state, a charging state, and a fault state, when any one data value exceeds the safety threshold, the dynamic monitoring module 31 sends a first signal to a central processing unit 51 described below, and when all data values are within the safety threshold, the dynamic monitoring module 31 keeps silent. For different power equipment and different installation places, such as a high-voltage switch cabinet and a low-voltage switch cabinet, such as a plateau and a plain, the safety thresholds of the same type of device are different, and in this embodiment, the selection of each safety threshold inside the power equipment can be adjusted according to the experience of a power engineer.
The static early warning unit 4 comprises a static monitoring module 41, the static monitoring module 41 extracts a log recorded in the database 21 and sets maintenance time, the static monitoring module 41 sends out a second signal after the maintenance time is reached, the second signal is early warning information, and a processor is arranged in the dynamic monitoring module 31. The specific operation modes of the static monitoring module 41 are: abstracting data of uniform type from the recorded logs, classifying the data, and taking the data of the same type as the basis of subsequent analysis; extracting the data of the same type, and setting corresponding overhaul time according to the characteristics of the data; at any time limit of service, the static monitoring module 41 sends a second signal to the central processor 51 described below. The log records the partial discharge condition, the temperature condition and the current condition in the power equipment, sets different maintenance time according to the classification condition, and sends all real-time contents to the central processing unit 51 when the maintenance time arrives. The static early warning unit 4 may provide an active monitoring reminder to the power engineer at a certain time.
The data processing unit 5 comprises a central processing unit 51, the central processing unit 51 for receiving the first signal and the second signal.
The camera unit 8 comprises a camera 81, a controller 82 and a wired transmission module 83 which are arranged in the electric power equipment, wherein the camera 81, the controller 82 and the wired transmission module 83 are sequentially and electrically connected, the camera 81 is used for acquiring real-time images inside the electric power equipment, the camera unit 8 is controlled by the central processing unit 51, and the central processing unit 51 sends image information acquired by the camera 81 to the monitoring center 7 before sending signals. When the central processing unit 51 receives any one of the first signal and the second signal, it can extract the image information of the electrical equipment through the camera unit 8, so as to accurately obtain the real-time image of the electrical equipment in the required detection time period, and further extract the real-time image, and finally upload the image information, the data value and the recording log of the electrical equipment to the monitoring center. Due to the fact that the stability and the working time of the camera 81 are limited, the performance of the camera 81 can be reasonably utilized in the mode, and unnecessary shooting is avoided.
And the data transmission unit 6 comprises a GSM communication module 61 connected with the central processing unit 51, and the GSM communication module 61 transmits the signals to the monitoring center 7 in a wireless mode.
Example two
Referring to fig. 2, an electric power equipment monitoring system based on big data analysis, including the surveillance center 7, the surveillance center 7 wireless connection has two at least electric power equipment monitoring devices, pass through wireless communication connection with the surveillance center 7 and a plurality of mobile terminal 9 in addition, the surveillance center 7 adopts the cloud platform, there are GPS module and/or big dipper module in the mobile terminal 9 and mobile terminal 9 can upload its geographic information in real time to the surveillance center 7, the surveillance center 7 sends electric power equipment information to nearby mobile terminal 9 through big data analysis and this mobile terminal 9 acquires the image information, data value and the log that correspond electric power equipment from the surveillance center 7. In this embodiment, the mobile terminal 9 represents a power engineer in a field, and the monitoring center 7 can accurately send information of the power equipment to be monitored to a nearby power engineer, so that the power equipment can reach the field at the highest speed to implement field detection and maintenance, timely monitoring is completed, and the operation safety of the power equipment can be improved.
The invention has the beneficial effects that:
according to the invention, the data collection is carried out on the operation and monitoring of the power equipment, so that the integration of big data is completed, and the monitoring time is convenient to set after effective records are formed; the performance of each device in the power equipment is comprehensively monitored by adopting dual monitoring of static monitoring and dynamic monitoring, the dynamic monitoring module 31 can send alarm information through the central processing unit 51 after triggering an internal safety protocol of the power equipment in a certain unstable state, the static monitoring module 41 can send the alarm information through the central processing unit 51 after the expected maintenance time of a certain device of the power equipment is critical, resources are reasonably distributed through the monitoring center 7, and the field monitoring efficiency and the maintenance efficiency are improved. In the invention, part of the power equipment can be actively changed from passive to active and report information needing to be monitored or maintained to a power engineer, so that the power engineer can conveniently and quickly determine the power equipment needing to be monitored.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited thereby, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (10)
1. An electrical equipment monitoring device based on big data analysis, characterized by comprising:
the data acquisition unit (1) comprises a sensor group installed in the power equipment and a conversion module (11) for acquiring real-time signals of the sensor group to perform signal preprocessing, wherein the sensor group is connected with the conversion module (11), and the sensor group is used for acquiring the real-time signals of partial discharge, temperature, charged state and fault state generated in the operation of the power equipment;
the data storage unit (2) comprises a database (21) for storing data values, the database (21) is connected with the conversion module (11) and records the data values sent by the conversion module (11), and a record log of each data value of the power equipment is formed in the database (21);
the dynamic early warning unit (3) comprises a dynamic monitoring module (31) connected with the conversion module (11), and the dynamic monitoring module (31) selectively sends out a first signal after comparing the data value sent by the conversion module (11) with the safety threshold value of the memory of the dynamic monitoring module;
the static early warning unit (4) comprises a static monitoring module (41), the static monitoring module (41) extracts a record log in the database (21) and sets maintenance time, and the static monitoring module (41) sends out a second signal after the maintenance time is reached;
a data processing unit (5) comprising a central processor (51) for receiving a first signal and a second signal;
and the data transmission unit (6) comprises a GSM communication module (61) connected with the central processing unit (51), and the GSM communication module (61) transmits the signals to the monitoring center (7) in a wireless mode.
2. The electrical equipment monitoring device based on big data analysis according to claim 1, characterized in that, the electrical equipment monitoring device further comprises a camera unit (8), the camera unit (8) comprises a camera (81), a controller (82) and a wired transmission module (83) which are arranged in the electrical equipment, and the camera (81), the controller (82) and the wired transmission module (83) are electrically connected in sequence, wherein, the camera (81) is used for obtaining real-time images inside the electrical equipment, the camera unit (8) is controlled by the central processing unit (51), and the central processing unit (51) sends the image information collected by the camera (81) to the monitoring center (7) before sending signals.
3. The power equipment monitoring device based on big data analysis according to claim 1, characterized in that the sensor group comprises a capacitive coupling sensor (12), a wireless passive temperature sensor (13), a short-circuit current sensor (14) and a ground current sensor (15), the capacitive coupling sensor (12) is used for collecting partial discharge signals in the power equipment, the wireless passive temperature sensor (13) is used for collecting temperature signals in the power equipment, the short-circuit current sensor (14) is used for collecting short-circuit fault signals in the power equipment, and the ground current sensor (15) is used for collecting ground fault signals in the power equipment.
4. The electrical equipment monitoring device based on big data analysis according to claim 3, characterized in that the conversion module (11) performs digital filtering and signal amplification on the local discharge signal, the temperature signal, the short-circuit fault signal and the ground fault signal, and then performs A/D conversion and records the signals into the database (21).
5. The electrical equipment monitoring device based on big data analysis according to claim 1, wherein the safety threshold of the dynamic monitoring module (31) is the safety critical point of the electrical equipment in partial discharge, temperature, charged state and fault state, when any one data value exceeds the safety threshold, the dynamic monitoring module (31) sends a first signal to the central processing unit (51), and when all data values are within the safety threshold, the dynamic monitoring module (31) keeps silent.
6. The electrical equipment monitoring device based on big data analysis according to claim 1, characterized in that the database (21) is further provided with a manual writing module (22) for manually recording and inputting the device maintenance, device replacement, device addition and device removal in the electrical equipment into the database (21).
7. The electrical equipment monitoring device based on big data analysis according to claim 6, characterized in that the static monitoring module (41) abstracts uniform type data from the log and classifies the data, the data of the same type being used as the basis for subsequent analysis; extracting the data of the same type, and setting corresponding overhaul time according to the characteristics of the data; and when any maintenance time is critical, the static monitoring module (41) sends a second signal to the central processing unit (51).
8. The electrical equipment monitoring device based on big data analysis according to claim 1, wherein the log content further includes device-specified safety overhaul time, device regular maintenance time, and time in history that dangerous situations are likely to occur.
9. An electric power equipment monitoring system based on big data analysis, characterized by comprising at least two electric power equipment monitoring devices and a monitoring center (7) according to any one of claims 1 to 8, a plurality of mobile terminals (9) connected with the monitoring center (7) through wireless communication, wherein the plurality of electric power equipment monitoring devices are all connected to the monitoring center (7) at the same time, the monitoring center (7) sends electric power equipment information to the nearby mobile terminals (9) through big data analysis, and the mobile terminals (9) acquire image information, data values and log records of corresponding electric power equipment from the monitoring center (7).
10. The electrical equipment monitoring system based on big data analysis according to claim 9, characterized in that there is a GPS module and/or a beidou module in the mobile terminal (9).
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116679179A (en) * | 2023-08-03 | 2023-09-01 | 江苏鑫洋智能电力科技有限公司 | Partial discharge on-line monitoring device and pulse current monitoring method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116679179A (en) * | 2023-08-03 | 2023-09-01 | 江苏鑫洋智能电力科技有限公司 | Partial discharge on-line monitoring device and pulse current monitoring method |
| CN116679179B (en) * | 2023-08-03 | 2023-09-29 | 江苏鑫洋智能电力科技有限公司 | Partial discharge on-line monitoring device and pulse current monitoring method |
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