CN117853087A - Data analysis system of power equipment - Google Patents
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Abstract
The application relates to a data analysis system of an electric power device. The system comprises: at least one power device and a data center; each power device is used for collecting key parameters of each power device in real time during operation and uploading the key parameters to a data center; the data center is used for analyzing key parameters of each power device, obtaining analysis results corresponding to each power device and sending each analysis result to each power device. The system directly connects the data center and the power equipment through the Internet of things communication technology, monitors the key parameters of each power equipment in real time, analyzes the key parameters of each power equipment to obtain analysis results, so that the system can discover potential problems and faults as soon as possible, and maintains the power equipment with faults, thereby reducing the downtime of the power equipment, and greatly improving the reliability and performance of the power equipment.
Description
Technical Field
The application relates to the technical field of power grids, in particular to a data analysis system of power equipment.
Background
In the power system, each power device performs its own role in ensuring the normal operation of the circuit, and in order to ensure the normal operation of each power device, the health state of each power device needs to be determined, and the power device is maintained in time in a damaged state, which affects the stability of power supply, and also relates to the power use safety of users and the reliability of the power grid.
However, there is currently no system for monitoring and analyzing the health status of each power device in a power system.
Disclosure of Invention
In view of the above, it is necessary to provide a data analysis system for electric power equipment capable of monitoring and analyzing the health status of each electric power equipment.
In a first aspect, the present application provides a data analysis system for an electrical device, comprising: at least one power device and a data center;
each power device is used for collecting key parameters of each power device in real time during operation and uploading the key parameters to a data center;
the data center is used for analyzing key parameters of each power device, obtaining analysis results corresponding to each power device and sending each analysis result to each power device.
The system directly connects the data center and the power equipment through the Internet of things communication technology, monitors the key parameters of each power equipment in real time, analyzes the key parameters of each power equipment to obtain analysis results, so that the system can discover potential problems and faults as soon as possible, and maintains the power equipment with faults, thereby reducing the downtime of the power equipment, and greatly improving the reliability and performance of the power equipment.
In one embodiment, each of the above power devices has a plurality of types of sensors mounted thereon, and the key parameters include at least one of a temperature parameter, a current parameter, a voltage parameter, and a vibration parameter.
In one embodiment, the data center includes: a data analysis unit;
and the data analysis unit is used for analyzing key parameters of each power device by adopting a big data analysis technology to obtain an analysis result of each power device.
The data analysis unit provided by the embodiment of the application can analyze the acquired key parameters of the power equipment in real time to obtain the analysis result, so that a user can make timely countermeasures based on the analysis result, and the downtime of the power equipment when the fault occurs is reduced to a certain extent.
In one embodiment, the data center further includes: a preprocessing unit;
and the preprocessing unit is used for cleaning and denoising key parameters of each electric device.
According to the data preprocessing method, the original data are subjected to cleaning and denoising, so that an analysis result obtained by analyzing the cleaned and denoised data is closer to the real situation of each real electronic device.
In one embodiment, the data center further includes: a storage unit;
and the storage unit is used for storing key parameters of each power device.
According to the data storage method, key parameters of all the power equipment are stored, so that the data center can analyze the states of the power equipment at any moment based on the stored key parameters of all the power equipment, and a user can check the states of all the power equipment in time conveniently.
In one embodiment, the data center further includes: a display unit;
the display unit is used for displaying the analysis results corresponding to the power equipment.
According to the system provided by the embodiment of the application, the analysis results of the electric devices are displayed through the display unit so as to display the monitoring data, the analysis results and the suggested maintenance actions in the analysis results of the electronic devices, and therefore operation and maintenance personnel can be helped to better know the operation states of the electronic devices.
In one embodiment, the analysis result includes an abnormal behavior of an abnormal device in the power device, and the power device is further configured to output alarm information when receiving the analysis result including the abnormal behavior of the abnormal device.
According to the system provided by the embodiment of the application, based on the fact that the analysis result indicates the abnormal behavior of the abnormal equipment, alarm information is output, so that operation and maintenance personnel can quickly know the electronic equipment with the abnormal behavior, and further the maintenance efficiency of the electronic equipment is improved.
In one embodiment, the analysis result includes a power consumption trend of the power device in a preset time period, and the power device is further configured to output the early warning information when receiving the analysis result including the power consumption trend.
According to the system provided by the embodiment of the application, based on the condition that the analysis result indicates that the power consumption trend is abnormal, the alarm information is output, so that operation and maintenance personnel can quickly know the electronic equipment with abnormal behaviors, and the maintenance efficiency of the electronic equipment is improved.
In one embodiment, the data center is further configured to respond to a query instruction input by a user on the power equipment analysis interface, and acquire and display an analysis result of the power equipment indicated by the query instruction.
According to the system provided by the embodiment of the application, based on the query instruction input by the user on the power equipment, the analysis result corresponding to the query instruction is displayed on the corresponding power equipment, so that the operation and maintenance personnel can quickly know the state of the electronic equipment.
In one embodiment, the data center is further configured to verify a query right of the user, and respond to a query instruction input by the user on the power equipment analysis interface to obtain and display an analysis result of the power equipment indicated by the query instruction when the query right indicates that the user is a legal user.
According to the system provided by the embodiment of the application, based on the query instruction input by the user on the power equipment, the analysis result corresponding to the query instruction is displayed on the corresponding power equipment, so that the operation and maintenance personnel can quickly know the state of the electronic equipment. The data security of the electronic equipment is protected, the privacy of the user is fully protected to a certain extent, and only authorized personnel can access sensitive data.
The data analysis system of the power equipment comprises: the system comprises at least one electric power device and a data center, wherein each electric power device is used for collecting key parameters of each electric power device in real time during operation and uploading the key parameters to the data center; the data center is used for analyzing key parameters of each power device, obtaining analysis results corresponding to each power device and sending each analysis result to each power device. The system directly connects the data center and the power equipment through the Internet of things communication technology, monitors the key parameters of each power equipment in real time, analyzes the key parameters of each power equipment to obtain analysis results, so that the system can discover potential problems and faults as soon as possible, and maintains the power equipment with faults, thereby reducing the downtime of the power equipment, and greatly improving the reliability and performance of the power equipment.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for a person having ordinary skill in the art.
FIG. 1 is a schematic diagram of a data analysis system of an electrical device in one embodiment;
FIG. 2 is a schematic diagram of a data analysis system of an electrical device in another embodiment;
FIG. 3 is a schematic diagram of a data analysis system of an electrical device in another embodiment;
FIG. 4 is a schematic diagram of a data analysis system of an electrical device in another embodiment;
FIG. 5 is a schematic diagram of a data analysis system of an electrical device in another embodiment;
fig. 6 is a schematic diagram of a data center in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions.
In the description of the embodiments of the present application, the technical terms "first," "second," etc. are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The southern power grid is one of the major power suppliers and operators in southern areas of china and is responsible for providing power services to the areas of guangdong, guangxi, yunnan, hainan, sichuan, etc. In such a huge power system, it is important to ensure the health status of the individual power devices, which affects not only the stability of the power supply, but also the safety of the electricity consumption by the users and the reliability of the grid. The monitoring of the status of individual electrical devices currently also has the following problems:
(1) Data security and privacy: big data analysis systems involve large amounts of sensitive data, including information such as the operating state of the device, which may be challenging to ensure security and privacy, requiring strict data protection measures to be taken;
(2) Technical complexity: the establishment and maintenance of big data analysis systems requires highly specialized technical knowledge, including knowledge in the fields of data analysis, artificial intelligence, etc., which may increase the development and operation costs of the system;
(3) Data quality: the accuracy of analysis results and predictions is highly dependent on the quality of the input data, and if the input data is inaccurate or incomplete, the analysis results may deviate, affecting the accuracy of decisions;
(4) Difficulty of system integration: in a complex power system, the integration of big data analysis systems may require seamless integration with existing equipment and systems, which may face technical challenges;
(5) Talent demand: operation and maintenance of such systems requires skilled talents that possess sufficient skill may be scarce in the marketplace, and thus culturing and retaining talents may be a challenge.
That is, in the power system, each power device performs its own role in ensuring the normal operation of the circuit, and to ensure the normal operation of each power device, it is necessary to determine the health status of each power device, and maintain the power device in time in a damaged state, which affects not only the stability of power supply, but also the safety of electricity consumption by the user and the reliability of the power grid. However, there is currently no system for monitoring and analyzing the health status of each power device in a power system. The present application aims to solve this problem.
After the application scenario of the data analysis system of the power equipment provided by the embodiment of the application is described, the data analysis system of the power equipment is described in the following.
In one embodiment, as shown in fig. 1, there is provided a data analysis system 01 of an electric power device, including: at least one power device 10 and a data center 20;
each power device 10 is configured to collect key parameters of each power device 10 in real time during operation, and upload the key parameters to the data center 20;
the data center 20 is configured to analyze key parameters of each power device 10, obtain analysis results corresponding to each power device 10, and send each analysis result to each power device 10.
The key parameters may include at least one of a temperature parameter, a current parameter, a voltage parameter, and a vibration parameter.
The power device 10 may be a generator, a motor, a transformer, or the like in a power system, and various types of sensors, such as a temperature sensor, a current sensor, a voltage sensor, a vibration sensor, or the like, may be mounted on the power device 10, for monitoring temperature parameters, current parameters, voltage parameters, vibration parameters, or the like of the power device 10 in real time.
The data center 20 may be a data storage and management center, such as a south-net data center, among others. Uploading key parameters of individual power devices 10 to the data center 20 may employ internet of things (IoT) communication technology to ensure that data can be transmitted to a central database or cloud platform in a secure and reliable manner.
In this embodiment of the present application, sensors may be pre-installed on each electrical device 10, and an internet of things communication technology is established between each sensor and the data center 20, so as to ensure that each electrical device 10 can collect key parameters of each electrical device 10 (self) in real time through the sensors installed thereon during operation, and after collecting the key parameters of the self, upload the collected key parameters of the self to the data center 20 through the internet of things communication technology, and after receiving the key parameters of each electrical device 10, the data center 20 may analyze the key parameters of each electrical device 10 to obtain analysis results corresponding to each electrical device 10, and send the analysis results corresponding to each electrical device 10.
The data analysis system of the power equipment provided by the embodiment of the application comprises: the system comprises at least one electric power device and a data center, wherein each electric power device is used for collecting key parameters of each electric power device in real time during operation and uploading the key parameters to the data center; the data center is used for analyzing key parameters of each power device, obtaining analysis results corresponding to each power device and sending each analysis result to each power device. The system directly connects the data center and the power equipment through the Internet of things communication technology, monitors the key parameters of each power equipment in real time, analyzes the key parameters of each power equipment to obtain analysis results, so that the system can discover potential problems and faults as soon as possible, and maintains the power equipment with faults, thereby reducing the downtime of the power equipment, and greatly improving the reliability and performance of the power equipment.
In one embodiment, based on the embodiment shown in fig. 1, as shown in fig. 2, the data center 20 includes: a data analysis unit 201;
the data analysis unit 201 is configured to analyze key parameters of each power device 10 by using a big data analysis technology, so as to obtain an analysis result of each power device 10.
The big data analysis technique may include any one or more of a machine learning algorithm, a time series analysis algorithm, and a statistical method, among others.
The analysis results include trend information, such as current trend, temperature trend, voltage trend, vibration trend, and the like, abnormal condition, normal condition, and the like of the respective power devices 10.
In this embodiment of the present application, the data center 20 includes a data analysis unit 201, where the data analysis unit 201 may analyze the received key parameters of each power device 10 by adopting any one or more of a machine learning algorithm, a time sequence analysis algorithm and a statistical method after receiving the key parameters of each power device 10, so as to obtain an analysis result of the key parameters of each power device 10.
The data analysis unit provided by the embodiment of the application can analyze the acquired key parameters of the power equipment in real time to obtain the analysis result, so that a user can make timely countermeasures based on the analysis result, and the downtime of the power equipment when the fault occurs is reduced to a certain extent.
In one embodiment, on the basis of the embodiment shown in fig. 1 or fig. 2, as shown in fig. 3, the data center 20 further includes: a preprocessing unit 202;
the preprocessing unit 202 is used for cleaning and denoising key parameters of each power device 10.
The cleaning process comprises seven steps of selecting a subset, renaming column names, deleting repeated values, deleting the values, carrying out consistency processing, carrying out data sorting processing and carrying out abnormal value processing, and is used for deleting repeated information in original data, correcting errors in the original data and the like.
The denoising processing comprises convolution denoising, fourier transform denoising, deep learning denoising and the like; convolution denoising means that smoothing processing is performed by using convolution check data, thereby eliminating noise; fourier transform denoising means that data is fourier transformed and high-frequency components are suppressed, thereby eliminating noise; deep learning denoising: noise is eliminated by deep learning the data using a deep neural network.
In this embodiment, the data center 20 includes a preprocessing unit 202, and after the preprocessing unit 202 receives the key parameters of each power device 10, the data cleaning algorithm and the data denoising algorithm in the preprocessing unit 202 are used to process the key parameters of the power device 10, so as to obtain the key parameters after cleaning and denoising.
According to the data preprocessing method, the original data are subjected to cleaning and denoising, so that an analysis result obtained by analyzing the cleaned and denoised data is closer to the real situation of each real electronic device.
In one embodiment, on the basis of the embodiment shown in fig. 3, as shown in fig. 4, the data center 20 further includes: a storage unit 203;
a storage unit 203, configured to store key parameters of each power device 10.
The storage unit 203 includes a main memory (main memory or internal memory for short), an auxiliary memory (auxiliary memory or external memory for short), and the like.
In this embodiment of the present application, the data center 20 includes the storage unit 203, where the storage unit 203 may call a memory (e.g., a main memory or an auxiliary memory) to store the received key parameters of each power device 10 after receiving the key parameters of each power device 10, so that the data center can analyze the state of the power device 10 at any time based on the stored key parameters of each power device 10.
According to the data storage method, key parameters of all the power equipment are stored, so that the data center can analyze the states of the power equipment at any moment based on the stored key parameters of all the power equipment, and a user can check the states of all the power equipment in time conveniently.
In one embodiment, on the basis of the embodiment shown in fig. 3, as shown in fig. 5, the data center 20 further includes: a display unit 204;
and the display unit 204 is used for displaying the analysis results corresponding to each power device 10.
The display unit 204 may be a display screen, that is, may display the analysis result corresponding to each power device 10 to the user using the display screen.
In this embodiment of the present application, the data center 20 further includes a display unit 204, where the display unit 204 may display the analysis result of each electronic device 10 to the user in the form of a meter or report through the display unit 204 after the analysis result of each electronic device 10 is analyzed by the data analysis unit 201, so as to present the monitoring data, the analysis result and the recommended maintenance action in the analysis result of each electronic device 10.
According to the system provided by the embodiment of the application, the analysis results of the electric devices are displayed through the display unit so as to display the monitoring data, the analysis results and the suggested maintenance actions in the analysis results of the electronic devices, and therefore operation and maintenance personnel can be helped to better know the operation states of the electronic devices.
In one embodiment, on the basis of the embodiment shown in fig. 1, the analysis result includes an abnormal behavior of an abnormal device in the power device 10, and the power device 10 is further configured to output alarm information when receiving the analysis result including the abnormal behavior of the abnormal device.
The alarm information may include an alarm sound sent by the power device 10, or a prompt message such as a red light flashing of an indicator light pre-installed on the power device 10.
In this embodiment of the present application, the analysis result includes an abnormal behavior of an abnormal device in the power device 10, after the data center 20 analyzes the key parameters of each electronic device 10 to obtain the analysis result, the data center 20 may send the analysis result of each electronic device 10 to the corresponding electronic device 10, each electronic device may determine the analysis result after receiving the analysis result of itself, and if the analysis result indicates the abnormal behavior of the abnormal device in the power device, the electronic device may output alarm information.
According to the system provided by the embodiment of the application, based on the fact that the analysis result indicates the abnormal behavior of the abnormal equipment, alarm information is output, so that operation and maintenance personnel can quickly know the electronic equipment with the abnormal behavior, and further the maintenance efficiency of the electronic equipment is improved.
In one embodiment, on the basis of the embodiment shown in fig. 1, the analysis result includes a power consumption trend of the power device 10 in a preset period, and the power device 10 is further configured to output early warning information when receiving the analysis result including the power consumption trend.
The early warning information may include an alarm sound sent by the power device 10, or a prompt message such as a red light flashing of an indicator light pre-installed on the power device 10.
In this embodiment of the present application, the analysis result includes a power consumption trend of the power device 10 in a preset time period, after the data center 20 analyzes the key parameters of each electronic device 10 to obtain the analysis result, the data center 20 may send the analysis result of each electronic device 10 to the corresponding electronic device 10, after each electronic device receives its own analysis result, the analysis result may determine, if the analysis result indicates that the power consumption trend of the power device in the preset time period is an abnormal trend, the electronic device may output the early warning information.
According to the system provided by the embodiment of the application, based on the condition that the analysis result indicates that the power consumption trend is abnormal, the alarm information is output, so that operation and maintenance personnel can quickly know the electronic equipment with abnormal behaviors, and the maintenance efficiency of the electronic equipment is improved.
In one embodiment, based on the embodiment shown in fig. 1, the data center 20 is further configured to respond to a query instruction input by a user on the analysis interface of the power device 10, and obtain and display an analysis result of the power device 10 indicated by the query instruction.
In this embodiment of the present application, after the data center 20 analyzes the key parameters of each electronic device 10, the user may further input a query instruction on the power device 10, after receiving the query instruction input by the user, the power device 10 sends the query instruction input by the user to the data center 20, after receiving the query instruction, the data center 20 returns the corresponding query information to the power device according to the query information indicated by the query instruction, and the power device obtains the analysis result of the corresponding power device and displays the analysis result of the corresponding power device on the display interface of the power device.
According to the system provided by the embodiment of the application, based on the query instruction input by the user on the power equipment, the analysis result corresponding to the query instruction is displayed on the corresponding power equipment, so that the operation and maintenance personnel can quickly know the state of the electronic equipment.
In one embodiment, based on the embodiment shown in fig. 1, the data center 20 is further configured to verify a query authority of a user, and in case that the query authority indicates that the user is a legal user, respond to a query instruction input by the user on the power equipment analysis interface, and acquire and display an analysis result of the power equipment indicated by the query instruction.
In the embodiment of the application, the access authority of the data center is set, that is, a user who inputs login information in advance can log in the data center to check key parameters of each electronic device and analysis results of each electronic device, when the user needs to log in the data center to check the key parameters of each electronic device and the analysis results of each electronic device, the data center can also verify the authority of a query request input by the user, and under the condition that the query authority indicates that the user is a legal user, the data center responds to a query instruction input by the user on an analysis interface of the power device to acquire the analysis results of the power device indicated by the query instruction, and displays the analysis results of the power device indicated by the query instruction on a display interface of the data center so as to enable the user to check the analysis results of the power device indicated by the query instruction.
According to the system provided by the embodiment of the application, based on the query instruction input by the user on the power equipment, the analysis result corresponding to the query instruction is displayed on the corresponding power equipment, so that the operation and maintenance personnel can quickly know the state of the electronic equipment. The data security of the electronic equipment is protected, the privacy of the user is fully protected to a certain extent, and only authorized personnel can access sensitive data.
The respective modules in the data analysis system of the above-described power equipment may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
It should be noted that the system described in the invention is used in the south network cloud platform, and through the data monitoring of key points such as network, province and ground power transmission network planning equipment details, the rapid overview of related data of each unit power transmission network planning by a 'network province and ground' three-level decision layer, a management layer and an execution layer is realized, the power transmission network development trend is accurately mastered, the function of planning guidance is practically exerted, the accuracy of power transmission network planning is continuously improved, further, the key business and index early warning are automatically realized through the analysis and judgment of big data, the trend of the power transmission network development situation is prejudged, the optimal coping strategy is provided, the whole process monitoring of the power transmission network planning construction business based on data driving is realized, the abnormal measurable early warning and risk controllability are ensured, the accurate investment capability is improved, and the high-quality development of the power transmission network is promoted. The overall architecture of the data center in the data analysis system of the electric power equipment is shown in the following fig. 6, and the overall architecture includes main elements of the cloud platform, and describes connection and relationship among the elements. The overall architecture of the cloud platform is shown in the following diagram, and the cloud platform mainly comprises an infrastructure as a service (IaaS), a platform as a service (PaaS), a software as a service (SaaS), a cloud security system and the like.
The data analysis system of the power equipment has the beneficial effects that:
(1) Improving the reliability and performance of the equipment: by monitoring the state and performance of the electronic equipment in real time, the system can discover potential problems and faults as soon as possible and support predictive maintenance, so that the downtime of the equipment is reduced, and the reliability and performance of the equipment are improved;
(2) The maintenance cost is reduced: predictive maintenance enables maintenance teams to more accurately plan and perform maintenance work, avoids unnecessary maintenance, reduces maintenance costs, and prolongs the service life of equipment;
(3) The safety is improved: the risk of equipment failure can be reduced by timely finding out equipment abnormality, potential safety accidents are reduced, and the operation safety of the power equipment is improved;
(4) Optimizing resource utilization: the big data analysis system can help an electric company to better know the running condition of equipment, optimize electric power resource allocation, improve energy utilization efficiency and reduce resource waste;
(5) Data driven decision: by analyzing big data, the system can provide deep insight about management of the electrical equipment, support a management layer to make more intelligent decisions and optimize operation strategies;
(6) The power failure time is reduced: the occurrence rate of a power failure event can be reduced by timely finding and solving the equipment problem, stable power supply is provided, and the requirements of users are met;
(7) Customer satisfaction is improved: by providing a more reliable power supply, outage time is reduced, customer satisfaction is improved, and customer loyalty is enhanced;
(8) Support renewable energy integration: the big data analysis system can help the electric company to better manage and integrate renewable energy sources so as to improve the sustainability and efficiency of the energy source system;
(9) Regulatory compliance: the supervision compliance is supported, the electric power company is ensured to obey the industry regulation and standard, and potential legal problems and fines are avoided;
(10) Future prediction and planning: based on historical data and trend analysis, the system can help an electric company predict future electric power demands, and optimize equipment investment and planning to meet the future demands;
the technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A data analysis system for an electrical device, the system comprising: at least one power device and a data center;
each power device is used for collecting key parameters of each power device in real time in operation and uploading the key parameters to the data center;
the data center is used for analyzing key parameters of the power equipment to obtain analysis results corresponding to the power equipment, and sending the analysis results to the power equipment.
2. The system of claim 1, wherein each of the electrical devices has a plurality of types of sensors mounted thereon, and wherein the key parameters include at least one of a temperature parameter, a current parameter, a voltage parameter, and a vibration parameter.
3. The system of claim 1 or 2, wherein the data center comprises: a data analysis unit;
the data analysis unit is used for analyzing key parameters of the power equipment by adopting a big data analysis technology to obtain analysis results of the power equipment.
4. The system of claim 3, wherein the data center further comprises: a preprocessing unit;
the preprocessing unit is used for cleaning and denoising key parameters of the power equipment.
5. The system of claim 4, wherein the data center further comprises: a storage unit;
and the storage unit is used for storing key parameters of each power device.
6. The system of claim 4, wherein the data center further comprises: a display unit;
the display unit is used for displaying the analysis results corresponding to the power equipment.
7. The system of claim 1, wherein the analysis result includes an abnormal behavior of an abnormal device of the power devices, the power devices further configured to output alarm information upon receiving the analysis result including the abnormal behavior of the abnormal device.
8. The system of claim 1, wherein the analysis result includes a power consumption trend of the power device within a preset period of time, and wherein the power device is further configured to output early warning information when receiving the analysis result including the power consumption trend.
9. The system of claim 1, wherein the data center is further configured to respond to a query command input by a user on the power equipment analysis interface, and obtain and display an analysis result of the power equipment indicated by the query command.
10. The system of claim 9, wherein the data center is further configured to verify a query right of the user, and respond to a query instruction input by the user on a power device analysis interface if the query right indicates that the user is a legal user, and acquire and display an analysis result of the power device indicated by the query instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311851228.7A CN117853087A (en) | 2023-12-28 | 2023-12-28 | Data analysis system of power equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311851228.7A CN117853087A (en) | 2023-12-28 | 2023-12-28 | Data analysis system of power equipment |
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| CN117853087A true CN117853087A (en) | 2024-04-09 |
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| CN202311851228.7A Pending CN117853087A (en) | 2023-12-28 | 2023-12-28 | Data analysis system of power equipment |
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| Country | Link |
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| CN (1) | CN117853087A (en) |
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- 2023-12-28 CN CN202311851228.7A patent/CN117853087A/en active Pending
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