CN110988542A - Data clustering analysis system and method for power equipment - Google Patents
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Abstract
The invention discloses a data clustering analysis system of power equipment, which comprises a monitoring module, a clustering module and an analysis module, wherein the monitoring module is provided with a plurality of groups, the groups of monitoring modules are arranged in the groups of power equipment, the monitoring modules comprise a sound monitoring module, an insulation performance monitoring module and a temperature monitoring module, the clustering module is connected with the groups of monitoring modules, and the clustering module is electrically connected with the analysis module. The data clustering analysis system of the power equipment can predict faults and is suitable for popularization and use.
Description
Technical Field
The invention belongs to the technical field of cluster analysis of power equipment, and particularly relates to a data cluster analysis system of the power equipment, and further relates to a data cluster analysis method of the power equipment.
Background
The power system has an important position in production and life, even if a few power devices in the power system have faults, the power system can be disordered and supply power is tense, however, because the power devices are complicated and various and have various types, the fault early warning of the power devices is difficult to achieve, and therefore, the monitoring and management of the power devices become important tasks for guaranteeing power supply.
When the existing method is used for detecting the temperature, the insulativity of the power equipment and whether the power equipment has abnormal sound or not in the investigation process, the detection is mostly carried out in a mode of regularly checking by a manual matching detector, the failure rate is low, the failure reason of the power equipment cannot be comprehensively analyzed, and the failure cannot be analyzed and predicted.
Disclosure of Invention
The present invention is directed to a data clustering analysis system for power equipment, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a power equipment's data cluster analysis system, includes monitoring module, cluster module and analysis module, monitoring module is provided with a plurality of groups, and a plurality of groups monitoring module sets up in a plurality of groups power equipment, monitoring module divide into sound monitoring module, insulating properties monitoring module and temperature monitoring module, cluster module is connected with a plurality of groups monitoring module, cluster module and analysis module electric connection.
The system of claim, wherein the cluster analysis system comprises: the voice monitoring module comprises an audio acquisition module, a video module and an identification module, wherein the output end of the audio acquisition module is connected with the input end of the video module, the output end of the video module is connected with the input end of the identification module, the output end of the identification module is respectively connected with the input ends of a first storage submodule and a communication module, and the first storage submodule is in bidirectional link with the identification module.
The system of claim, wherein the cluster analysis system comprises: the identification module block is composed of an ARM processor and a DSP processor.
The system of claim, wherein the cluster analysis system comprises: the insulation performance monitoring module comprises an inspection module, a collection module, a signal conditioning module, a second storage submodule, a collection unit, a microprocessor and an alarm module, wherein the output end of the inspection module is connected with the input end of the second storage submodule, the output end of the collection module is connected with the input end of the signal conditioning module, the output end of the signal conditioning module is connected with the input end of the collection unit, the input end of the microprocessor is respectively connected with the output ends of the second storage submodule and the collection unit, and the output end of the microprocessor is respectively connected with a communication module and the alarm module.
The system of claim, wherein the cluster analysis system comprises: alarm module includes bee calling organ and alarm lamp, the collection module includes:
the vibration tester is used for testing vibration parameters of the power equipment;
the current transformer is used for collecting circulation information of the power equipment;
the signal conditioning module is used for low-pass filtering and proportional amplification of surrounding charge quantity signals to a current range suitable for A/D conversion, and sending amplified current signals to a waveform A/D acquisition unit, wherein the waveform A/D acquisition unit adopts an ADS chip and is used for acquiring waveforms of the amplified current signals and sending the waveforms to a microprocessor, and the microprocessor adopts LPCs based on an ABMTDMI kernel.
The system of claim, wherein the cluster analysis system comprises: the temperature monitoring module comprises a temperature detection module, a data processing module, a temperature management module and a cooling module, wherein the output end of the temperature detection module is connected with the output end of the data processing module, the output end of the data processing module is connected with the output end of the temperature management module, and the temperature management module is respectively connected with the communication module and the cooling module.
The system of claim, wherein the cluster analysis system comprises: the temperature detection module includes temperature sensor and wireless sending module, and temperature sensor responds to the temperature, and wireless sending module arrives with signal transmission after this response data processing module, the cooling module includes fan and refrigeration piece for cool down to power equipment inside, temperature management module includes the controller, and controller and cooling module and communication module electric link, the model of controller is the ATS singlechip.
The system of claim, wherein the cluster analysis system comprises: the clustering module comprises:
the clustering submodule is used for clustering the acquired equipment data according to the characteristic data;
the background storage module is used for storing the acquired equipment data of each power equipment into the data server;
and the clustering storage module is used for storing the clustered equipment data into the data server.
The system of claim, wherein the cluster analysis system comprises: the analysis module includes:
the searching submodule is used for searching monitoring data, maintenance data, index analysis data and data association relations corresponding to the same service type of the same power equipment;
the determining submodule is used for determining the working state corresponding to the same service type according to the numerical value ranges of the monitoring data and the overhaul data;
and the judgment submodule is used for judging whether the working state of the power equipment has risks or not according to whether the monitoring data and the overhaul data exceed the early warning value range or not or whether the data change rate of the monitoring data and the overhaul data exceeds the early warning change rate range or not, carrying out fault early warning on the power equipment with the risks in the working state and sending fault reasons to the background memory for recording.
The data clustering analysis method of the power equipment is characterized by comprising the following steps:
s: whether sound abnormality exists in the power equipment is detected and processed through the sound monitoring module and reported to the detection equipment (whether abnormal sound exists in the power equipment is monitored through the first storage submodule, the audio frequency acquisition module, the video module and the identification module in the sound monitoring module and is transmitted to the communication module), the insulativity of the power equipment is detected and processed through the insulating property monitoring module and reported to the detection equipment (the collection module, the signal conditioning module, the second storage submodule, the acquisition unit, the microprocessor and the alarm module monitor the insulativity in the power equipment, when the insulativity is low, the microprocessor controls the buzzer and the alarm to work, the warning function is played, data is transmitted to the communication module), and the temperature condition in the power equipment is effectively detected and processed through the temperature monitoring module, the temperature of the interior of the power equipment is monitored through a temperature detection module, a data processing module and a temperature management module in the temperature monitoring module, and when the temperature of the interior of the power equipment is higher, a fan and a refrigerating sheet work to further cool the power equipment continuously, and meanwhile, data backup is transmitted to a communication module;
s: collecting and summarizing different module data in the power equipment through a monitoring module, counting the data, and transmitting the data to a clustering module;
s: the clustering module collects data of monitoring modules of different power equipment (through a clustering sub-module, a background storage module and a clustering storage module in the clustering module) and transmits the data to the analysis module;
s: the analysis module (through searching the sub-module, determining the sub-module and judging the sub-module) analyzes according to the detection data and the processing data to obtain the working state of each power device and carries out fault early warning on the working state of each power device;
s: and storing the fault reason and the maintenance record into a background storage library.
The invention has the technical effects and advantages that: this power equipment's data cluster analysis system, monitoring module through the power equipment sets up, the inside sound monitoring module of detection module, cooperation between insulating properties monitoring module and the temperature monitoring module, can carry out fine analysis to the operating condition in the single power equipment, and carry out contrastive analysis to the detection module in the multiunit power equipment through clustering module and analysis module, make the staff according to power equipment's different data, can judge the operating condition and the fault situation of equipment fast, and then can carry out fortune dimension work to power equipment fast. The working efficiency is improved. The data clustering analysis system of the power equipment can predict faults and is suitable for popularization and use.
Drawings
FIG. 1 is a schematic flow diagram of an analytical system according to the present invention;
FIG. 2 is a block diagram of the cooling module of the present invention;
FIG. 3 is a block circuit diagram of the alarm module of the present invention;
FIG. 4 is a schematic flow chart of an analysis method according to the present invention.
In the figure: the system comprises a monitoring module 1, a sound monitoring module 2, a first storage submodule 3, a sound frequency acquisition module 4, a video module 5, an identification module 6, an insulation performance monitoring module 7, a collection module 8, a signal conditioning module 10, a second storage submodule 11, an acquisition unit 12, a microprocessor 13, an alarm module 14, a temperature monitoring module 15, a temperature detection module 16, a data processing module 17, a temperature management module 18, a cooling module 19, a communication module 20, a clustering module 21 and an analysis module 22.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a data clustering analysis system of power equipment as shown in figures 1-4, which comprises monitoring modules 1, clustering modules 21 and analysis modules 22, wherein the monitoring modules 1 are provided with a plurality of groups, the groups of monitoring modules 1 are arranged in the groups of power equipment, the monitoring modules 1 are divided into sound monitoring modules 2, insulation performance monitoring modules 7 and temperature monitoring modules 15, the clustering modules 21 are connected with the groups of monitoring modules 1, and the clustering modules 21 are electrically connected with the analysis modules 22.
Specifically, the sound monitoring module 2 includes an audio collection module 4, a video module 5 and an identification module 6, an output end of the audio collection module 4 is connected to an input end of the video module 5, an output end of the video module 5 is connected to an input end of the identification module 6, an output end of the identification module 6 is respectively connected to input ends of the first storage submodule 3 and the communication module 20, and the first storage submodule 3 is bidirectionally linked with the identification module 6.
Specifically, the identification module 6 block is composed of an ARM9 processor and a DSP processor.
Specifically, the insulation performance monitoring module 7 includes an inspection module 8, a collection module 9, a signal conditioning module 10, a second storage submodule 11, an acquisition unit 12, a microprocessor 13 and an alarm module 14, an output end of the inspection module 8 is connected with an input end of the second storage submodule 11, an output end of the collection module 9 is connected with an input end of the signal conditioning module 10, an output end of the signal conditioning module 10 is connected with an input end of the acquisition unit 12, an input end of the microprocessor 13 is respectively connected with output ends of the second storage submodule 11 and the acquisition unit 12, and an output end of the microprocessor 13 is respectively connected with a communication module 20 and the alarm module 14.
Specifically, the alarm module 14 includes a buzzer and an alarm lamp, and the collection module 9 includes:
the vibration tester is used for testing vibration parameters of the power equipment;
the current transformer is used for collecting circulation information of the power equipment;
the signal conditioning module 10 is configured to perform low-pass filtering and proportional amplification on a surrounding charge quantity signal to a current range suitable for a/D conversion, and send the amplified current signal to a waveform a/D acquisition unit, where the waveform a/D acquisition unit adopts an ADS7818 chip for acquiring a waveform of the amplified current signal and sending the waveform to the microprocessor 13, and the microprocessor 13 adopts LPC2136 based on an ABM7TDMI core.
Specifically, temperature monitoring module 15 includes temperature detection module 16, data processing module 17, temperature management module 18 and cooling module 19, the output of temperature detection module 16 connects data processing module 17's output, data processing module 17's output termination temperature management module 18's output, temperature management module 18 connects communication module 20 and cooling module 19 respectively.
Specifically, temperature detection module 16 includes temperature sensor and wireless sending module, and temperature sensor responds to the temperature, and wireless sending module arrives with the signal transmission after this response data processing module 17, cooling module 19 includes fan and refrigeration piece for inside cooling to power equipment, temperature management module 18 includes the controller, and the controller is linked with cooling module 19 and 20 electrical property of communication module, the model of controller is AT89S51 singlechip.
Specifically, the clustering module 21 includes:
the clustering submodule is used for clustering the acquired equipment data according to the characteristic data;
the background storage module is used for storing the acquired equipment data of each power equipment into the data server;
and the clustering storage module is used for storing the clustered equipment data into the data server.
Specifically, the analysis module 22 includes:
the searching submodule is used for searching monitoring data, maintenance data, index analysis data and data association relations corresponding to the same service type of the same power equipment;
the determining submodule is used for determining the working state corresponding to the same service type according to the numerical value ranges of the monitoring data and the overhaul data;
and the judgment submodule is used for judging whether the working state of the power equipment has risks or not according to whether the monitoring data and the overhaul data exceed the early warning value range or not or whether the data change rate of the monitoring data and the overhaul data exceeds the early warning change rate range or not, carrying out fault early warning on the power equipment with the risks in the working state and sending fault reasons to the background memory for recording.
In particular to a data clustering analysis method of the power equipment,
s 1: whether sound abnormality exists in the power equipment is detected and processed through the sound monitoring module 2 and reported to the detection equipment, whether abnormal sound exists in the power equipment is monitored through the first storage submodule 3, the audio frequency acquisition module 4, the video module 5 and the identification module 6 in the sound monitoring module 2 and is transmitted to the communication module 20, the insulativity of the power equipment is detected and processed through the insulation performance monitoring module 7 and is reported to the detection equipment collection module 9, the signal conditioning module 10, the second storage submodule 11, the acquisition unit 12, the microprocessor 13 and the alarm module 14 to monitor the insulativity of the power equipment, when the insulativity is low, the microprocessor 13 controls the buzzer and the alarm to work, the reminding function is played, data is transmitted to the communication module 20, and the temperature condition in the power equipment is effectively detected and processed through the temperature monitoring module 15, the temperature inside the power equipment is monitored by reporting to the detection equipment through a temperature detection module 16, a data processing module 17 and a temperature management module 18 in a temperature monitoring module 15, and when the temperature inside the power equipment is higher, a fan and a refrigerating sheet work to further cool the power equipment continuously, and meanwhile, data backup is transmitted to a communication module 20;
s 2: different module data in the power equipment are collected and summarized through the monitoring module 1, counted and transmitted to the clustering module 21;
s 3: the clustering module 21 collects data of monitoring modules of different power equipment through a clustering submodule, a background storage module and a clustering storage module in the clustering module 21, and transmits the data to the analysis module 22;
s 4: the analysis module 22 analyzes the detection data and the processing data by searching the sub-module, determining the sub-module and judging the sub-module to obtain the working state of each power device and perform fault early warning on the working state of each power device;
s 5: the fault reason and the maintenance record are stored in the background storage library, the fault can be predicted, and the method is suitable for popularization and use.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides a data cluster analysis system of power equipment, includes monitoring module (1), clustering module (21) and analysis module (22), its characterized in that: monitoring module (1) is provided with a plurality of groups, and a plurality of groups monitoring module (1) sets up in a plurality of power equipment of organizing, monitoring module (1) divide into sound monitoring module (2), insulating properties monitoring module (7) and temperature monitoring module (15), clustering module (21) is connected with a plurality of groups monitoring module (1), clustering module (21) and analysis module (22) electric connection.
2. The system according to claim 1, wherein the system comprises: the voice monitoring module (2) comprises an audio acquisition module (4), a video module (5) and an identification module (6), the output end of the audio acquisition module (4) is connected with the input end of the video module (5), the output end of the video module (5) is connected with the input end of the identification module (6), the output end of the identification module (6) is respectively connected with the input ends of a first storage submodule (3) and a communication module (20), and the first storage submodule (3) is bidirectionally linked with the identification module (6).
3. The system according to claim 2, wherein the system comprises: the identification module (6) block is composed of an ARM9 processor and a DSP processor.
4. The system according to claim 1, wherein the system comprises: insulating properties monitoring module (7) are including inspection module (8), collection module (9), signal conditioning module (10), second storage submodule piece (11), acquisition unit (12), microprocessor (13) and alarm module (14), the output termination of inspection module (8) stores the input of submodule piece (11) the second, the output termination of collection module (9) the input of signal conditioning module (10), the output termination of signal conditioning module (10) the input of acquisition unit (12), the input of microprocessor (13) connects the output of second storage submodule piece (11) and acquisition unit (12) respectively, the output of microprocessor (13) connects respectively news module (20) and alarm module (14).
5. The system according to claim 4, wherein the system comprises: the alarm module (14) comprises a buzzer and an alarm lamp, and the collection module (9) comprises:
the vibration tester is used for testing vibration parameters of the power equipment;
the current transformer is used for collecting circulation information of the power equipment;
the signal conditioning module (10) is used for low-pass filtering and proportional amplification of surrounding charge quantity signals to a current range suitable for A/D conversion, the amplified current signals are sent to a waveform A/D acquisition unit, the waveform A/D acquisition unit adopts an ADS7818 chip and is used for acquiring waveforms of the amplified current signals and sending the waveforms to a microprocessor (13), and the microprocessor (13) adopts LPC2136 based on an ABM7TDMI inner core.
6. The system according to claim 1, wherein the system comprises: temperature monitoring module (15) are including temperature detection module (16), data processing module (17), temperature management module (18) and cooling module (19), the output termination of temperature detection module (16) is the output of data processing module (17), the output termination of data processing module (17) is the output of temperature management module (18), temperature management module (18) switch on respectively news module (20) and cooling module (19).
7. The system according to claim 6, wherein the cluster analysis system comprises: temperature detection module (16) includes temperature sensor and wireless sending module, and temperature sensor responds to the temperature, and wireless sending module arrives with the signal transmission after this response data processing module (17), cooling module (19) include fan and refrigeration piece for inside cooling to power equipment, temperature management module (18) include the controller, and controller and cooling module (19) and communication module (20) electric link, the model of controller is AT89S51 singlechip.
8. The system according to claim 1, wherein the system comprises: the clustering module (21) comprises:
the clustering submodule is used for clustering the acquired equipment data according to the characteristic data;
the background storage module is used for storing the acquired equipment data of each power equipment into the data server;
and the clustering storage module is used for storing the clustered equipment data into the data server.
9. The system according to claim 1, wherein the system comprises: the analysis module (22) comprises:
the searching submodule is used for searching monitoring data, maintenance data, index analysis data and data association relations corresponding to the same service type of the same power equipment;
the determining submodule is used for determining the working state corresponding to the same service type according to the numerical value ranges of the monitoring data and the overhaul data;
and the judgment submodule is used for judging whether the working state of the power equipment has risks or not according to whether the monitoring data and the overhaul data exceed the early warning value range or not or whether the data change rate of the monitoring data and the overhaul data exceeds the early warning change rate range or not, carrying out fault early warning on the power equipment with the risks in the working state and sending fault reasons to the background memory for recording.
10. A data clustering analysis method of power equipment is characterized by comprising the following steps:
s 1: whether sound abnormity exists in the power equipment is detected and processed through the sound monitoring module (2) and reported to the detection equipment (whether abnormal sound exists in the power equipment is monitored through the first storage submodule (3), the audio frequency acquisition module (4), the video module (5) and the identification module (6) in the sound monitoring module (2) and is transmitted to the communication module (20)), the insulation performance of the power equipment is detected and processed through the insulation performance monitoring module (7) and reported to the detection equipment (the collection module (9), the signal conditioning module (10), the second storage submodule (11), the acquisition unit (12), the microprocessor (13) and the alarm module (14), the insulation performance in the power equipment is monitored, when the insulation performance is low, the microprocessor (13) controls the buzzer and the alarm to work, and further plays a role in reminding, the data are transmitted to a communication module (20), the temperature condition inside the power equipment is effectively detected and processed through a temperature monitoring module (15), and is reported to the detection equipment (the temperature inside the power equipment is monitored through a temperature detection module (16), a data processing module (17) and a temperature management module (18) in the temperature monitoring module (15)), and when the temperature inside the power equipment is higher, a fan and a refrigerating sheet work, so that the temperature of the power equipment is continuously reduced, and meanwhile, the data backup is transmitted to the communication module (20);
s 2: different module data in the power equipment are collected and summarized through the monitoring module (1), counted and transmitted to the clustering module (21);
s 3: the clustering module (21) collects data of monitoring modules of different power equipment (through a clustering sub-module, a background storage module and a clustering storage module in the clustering module (21)) and transmits the collected data to the analysis module (22);
s 4: the analysis module (22) (through the search submodule, the determination submodule and the judgment submodule) analyzes according to the detection data and the processing data to obtain the working state of each piece of electric power equipment and carry out fault early warning on the working state of each piece of electric power equipment;
s 5: and storing the fault reason and the maintenance record into a background storage library.
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| CN112598025A (en) * | 2020-12-02 | 2021-04-02 | 广东电网有限责任公司 | Processing method, device, equipment and medium for target information of power equipment |
| CN114386467A (en) * | 2022-01-29 | 2022-04-22 | 中国科学院声学研究所 | System and method for monitoring rail vehicle chassis fault abnormal sound based on acoustic characteristics |
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