An online monitoring system for power system parameters based on optical fiber sensing

Abstract

The present invention discloses an online monitoring system for power system parameters based on optical fiber sensing, the system comprising a monitoring and acquisition module, a video acquisition module, a data concentration module, a data application module, a data transmission module, a control center, an abnormality handling communication module, and an alarm module. The present invention acquires power system parameters and video images of various sensors, and displays the video images in the control center, thereby being able to monitor the status of various sensors and related equipment while monitoring the power system, avoiding the failure to promptly handle abnormalities of various sensors and related equipment; by transmitting and playing simultaneously and merging multiple video channels into one, the amount of data storage can be reduced; when an abnormality occurs in the power system, a timely response can be made, and the response measures can be efficiently recorded, and duplicate records can be automatically deleted, achieving the effect of streamlining records.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and in particular to an online monitoring system for power system parameters based on optical fiber sensing. Background Art

[0002] With the development of China's power construction, the scale of the power grid continues to expand. The power system framework consists of three major components: power generation, transmission, and distribution. When testing power systems, manual monitoring methods consume a lot of manpower and material resources and cannot provide 24-hour real-time observation. Therefore, monitoring sensors are needed to monitor the power system.

[0003] Patent No. 201910653634.X discloses an online monitoring system for an electric power system, which includes a data acquisition module, an identification matrix determination module, a recursive initialization module, a recursive solution module, a gain-impedance splitting module, a fault quantity determination module, and a fault classification module. It eliminates data that is far away from the current moment, effectively improving system accuracy.

[0004] However, these systems have the following drawbacks: Monitoring power system parameters requires acquiring data from various sensors. When power system anomalies occur, these monitoring systems are unable to respond promptly, and the response measures taken by control center staff are often not recorded effectively and timely, hindering subsequent review and summary of power system anomaly handling.

[0005] Currently, no effective solutions have been proposed for the problems in related technologies. Summary of the Invention

[0006] In response to the problems in the related art, the present invention proposes an online monitoring system for power system parameters based on optical fiber sensing to overcome the above technical problems existing in the existing related art.

[0007] To this end, the specific technical solutions adopted in the present invention are as follows:

[0008] An online monitoring system for power system parameters based on optical fiber sensing, the system includes a monitoring and acquisition module, a video acquisition module, a data concentration module, a data application module, a data transmission module, a control center, an abnormality processing communication module and an alarm module;

[0009] The monitoring and acquisition module is respectively connected to the video acquisition module and the data concentration module, the data concentration module is connected to the data application module, the data application module is connected to the data transmission module, the data transmission module is respectively connected to the video acquisition module and the control center, and the control center is respectively connected to the abnormality handling communication module and the alarm module;

[0010] The monitoring and acquisition module is used to collect power system parameters and equipment environment parameters of the power system through optical fiber sensors;

[0011] The video acquisition module is used to shoot the monitoring acquisition module through several video acquisition devices and send the shot video to the control center through the data transmission module;

[0012] The data concentration module is used to classify the parameters collected by the monitoring and collection module;

[0013] The data application module is used to pre-process the classified parameters according to user needs and send the pre-processed data to the user;

[0014] The data transmission module is used to send the classified parameters and the video captured by the video acquisition module to the control center;

[0015] The control center is configured to receive the classified parameters and the video captured by the video acquisition module, and display the classified parameters and the captured video;

[0016] The abnormality handling communication module is used to communicate and handle abnormal situations with on-site staff through text and voice when abnormalities occur in the parameters of the power system;

[0017] The alarm module is used to issue an alarm when an abnormality occurs in a parameter in the power system.

[0018] Furthermore, when the monitoring and acquisition module collects power system parameters and power system equipment environmental parameters through optical fiber sensors, the optical fiber sensors include optical fiber current sensors, optical fiber voltage sensors, optical fiber temperature sensors, optical fiber humidity sensors and optical fiber ultrasonic sensors.

[0019] Furthermore, in the exception handling communication module, when communicating and handling abnormal situations with on-site staff through text and voice, the text and voice generated during the communication and handling process are collected and stored, and the collected text data and voice data are merged.

[0020] Furthermore, when the collected text data and voice data are merged, the text of the text data is obtained, and first voice information of the text is generated, and the voice data and the first voice information are merged to obtain second voice information;

[0021] The second voice information is divided into a plurality of voice sentences, and similarity is judged between two voice sentences in sequence. If the similarity between the two voice sentences is greater than a preset threshold, one of the two voice sentences is randomly deleted.

[0022] Furthermore, when the similarity of the two speech sentences is judged in sequence, the two speech sentences are converted into a first spectrogram and a second spectrogram respectively;

[0023] The first and second spectrograms are both input into a pre-trained similarity judgment model, and the similarity judgment model outputs the similarity between the first and second spectrograms. If the similarity is greater than a pre-set threshold, one of the two speech sentences is randomly deleted, and similarity judgment is performed on all speech sentences in the second speech information in turn to obtain the third speech information.

[0024] Furthermore, when training the similarity judgment model, the first to-be-trained spectrogram, the second to-be-trained spectrogram, and the target similarity between the first to-be-trained spectrogram and the second to-be-trained spectrogram are obtained, and the similarity judgment model is obtained based on the first to-be-trained spectrogram, the second to-be-trained spectrogram, and the target similarity training.

[0025] Furthermore, after obtaining the third voice information, the third voice information is converted into text information, and punctuation marks are added to the text information manually, and key words are extracted from the text information.

[0026] Furthermore, the punctuation marks are added to the text information manually, and when extracting key words from the text information, the punctuation marks are detected. If the punctuation marks are a period, a question mark, or an exclamation mark, it indicates that there is a sentence before the punctuation mark.

[0027] If the punctuation mark is a quotation mark and there is a colon before the quotation mark, the position of the punctuation mark is a sentence;

[0028] If the punctuation mark is an ellipsis, and there is a carriage return immediately after the ellipsis, and there is no text after the ellipsis, it means that there is a sentence before the punctuation mark;

[0029] Segment the text into several independent sentences and extract the keywords in each independent sentence;

[0030] Summarize the keywords and sort them in descending order according to the number of times they appear.

[0031] Furthermore, in the control center, when displaying the captured video, the video is displayed while being transmitted and played.

[0032] Furthermore, when the display is performed in a transmission-while-playing manner, the captured video is converted into a digital video in the ITU656 format by a video AD chip, and the digital video code stream in the ITU656 format is collected and extracted by an FPGA, and several channels of video are merged into one channel, and the merged video is divided into two channels;

[0033] The first route is converted into D / A by the video DA chip and sent to the display screen for display. The second route is input into the ARM9 module and compressed into MPEG-4 format. At the same time, a file system is established for video storage.

[0034] The beneficial effects of the present invention are as follows: the present invention obtains power system parameters through optical fiber sensors, obtains video images of various sensors through video acquisition equipment, and displays the video images in the control center. Thus, while monitoring the power system, the status of various sensors and related equipment can be monitored, avoiding the failure to promptly handle abnormalities of various sensors and related equipment. Moreover, by transmitting and playing simultaneously and merging multiple video channels into one, the amount of data storage can be reduced. Moreover, when an abnormality occurs in the power system, a timely response can be made, and the response measures can be efficiently recorded. Duplicate records can be automatically deleted to achieve the purpose of streamlining records, and keywords can be extracted to help personnel understand the content of the records. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 The figure is a structural block diagram of an online monitoring system for power system parameters based on optical fiber sensing according to an embodiment of the present invention.

[0037] In the picture:

[0038] 1. Monitoring and acquisition module; 2. Video acquisition module; 3. Data concentration module; 4. Data application module; 5. Data transmission module; 6. Control center; 7. Abnormal handling communication module; 8. Alarm module. DETAILED DESCRIPTION

[0039] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention. They are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. By referring to these contents, ordinary technicians in this field should be able to understand other possible implementation methods and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0040] According to an embodiment of the present invention, a power system parameter online monitoring system based on optical fiber sensing is provided.

[0041] The present invention will now be further described with reference to the accompanying drawings and specific embodiments. Figure 1 As shown, according to an embodiment of the present invention, the online monitoring system for power system parameters based on optical fiber sensing includes a monitoring and acquisition module 1, a video acquisition module 2, a data concentration module 3, a data application module 4, a data transmission module 5, a control center 6, an abnormality processing communication module 7 and an alarm module 8;

[0042] The monitoring and acquisition module 1 is connected to the video acquisition module 2 and the data concentration module 3 respectively, the data concentration module 3 is connected to the data application module 4, the data application module 4 is connected to the data transmission module 5, the data transmission module 5 is connected to the video acquisition module 2 and the control center 6 respectively, and the control center 6 is connected to the abnormality processing communication module 7 and the alarm module 8 respectively;

[0043] The monitoring and acquisition module 1 is used to collect power system parameters and equipment environment parameters of the power system through optical fiber sensors;

[0044] The monitoring and acquisition module 1 collects power system parameters and power system equipment environmental parameters using optical fiber sensors, which include optical fiber current sensors, optical fiber voltage sensors, optical fiber temperature sensors, optical fiber humidity sensors, and optical fiber ultrasonic sensors. Optical fiber sensors are small, lightweight, highly reliable, and have minimal impact on the medium being measured.

[0045] The video acquisition module 2 is used to shoot the monitoring acquisition module 1 through several video acquisition devices and send the shot video to the control center 6 through the data transmission module 5;

[0046] The data concentration module 3 is used to classify the parameters collected by the monitoring and collection module 1;

[0047] The data application module 4 is used to pre-process the classified parameters according to user needs and send the pre-processed data to the user;

[0048] The data transmission module 5 is used to send the classified parameters and the video captured by the video acquisition module 2 to the control center 6;

[0049] The control center 6 is used to receive the classified parameters and the video captured by the video acquisition module 2, and display the classified parameters and the captured video;

[0050] The control center 6 displays the captured video in a transmission-while-playing manner.

[0051] When the display is performed in the transmission and playback mode, the captured video is converted into a digital video in the ITU656 format by a video AD chip, and the digital video stream in the ITU656 format is collected and extracted by an FPGA (a hardware reconfigurable architecture, the Chinese name is field programmable gate array) and several channels of video are merged into one channel, and the merged video is divided into two channels;

[0052] The first route is converted into D / A by the video DA chip and sent to the display screen for display. The second route is input into the ARM9 module and compressed into MPEG-4 format. At the same time, a file system is established for video storage.

[0053] The abnormality handling communication module 7 is used to communicate and handle the abnormality with the on-site staff through text and voice when abnormalities occur in the parameters of the power system;

[0054] Among them, in the exception handling communication module 7, when communicating and handling abnormal situations with on-site staff through text and voice, the text and voice generated during the communication and processing process are collected and stored, and the collected text data and voice data are merged.

[0055] When the collected text data and voice data are merged, a text of the text data is obtained, and first voice information of the text is generated, and the voice data and the first voice information are merged to obtain second voice information;

[0056] The second voice information is divided into a plurality of voice sentences, and similarity is judged between two voice sentences in sequence. If the similarity between the two voice sentences is greater than a preset threshold, one of the two voice sentences is randomly deleted.

[0057] When the similarity of the two speech sentences is judged in sequence, the two speech sentences are converted into a first spectrogram and a second spectrogram respectively;

[0058] The first and second spectrograms are both input into a pre-trained similarity judgment model, and the similarity judgment model outputs the similarity between the first and second spectrograms. If the similarity is greater than a pre-set threshold, one of the two speech sentences is randomly deleted, and similarity judgment is performed on all speech sentences in the second speech information in turn to obtain the third speech information.

[0059] When training the similarity judgment model, the first to-be-trained spectrogram, the second to-be-trained spectrogram, and the target similarity between the first to-be-trained spectrogram and the second to-be-trained spectrogram are obtained, and the similarity judgment model is obtained based on the first to-be-trained spectrogram, the second to-be-trained spectrogram, and the target similarity.

[0060] After the third voice information is obtained, the third voice information is converted into text information, and punctuation marks are added to the text information manually, and key words are extracted from the text information.

[0061] The method of manually adding punctuation marks to the text information and extracting key words from the text information detects the punctuation marks. If the punctuation marks are periods, question marks, and exclamation marks, it indicates that a sentence precedes the punctuation marks.

[0062] If the punctuation mark is a quotation mark and there is a colon before the quotation mark, the position of the punctuation mark is a sentence;

[0063] If the punctuation mark is an ellipsis, and there is a carriage return immediately after the ellipsis, and there is no text after the ellipsis, it means that there is a sentence before the punctuation mark;

[0064] Segment the text into several independent sentences and extract the keywords in each independent sentence;

[0065] Summarize the keywords and sort them in descending order according to the number of times they appear.

[0066] The alarm module 8 is used to issue an alarm when abnormalities occur in power system parameters. Alarm module 8 includes a speaker and an alarm light, and by activating both simultaneously, a more effective alarm is achieved. The wireless module converts the alarm signal into a wireless signal, which is then transmitted remotely after being received. This allows remote access to information about power system anomalies, allowing the alarm signal to be received by the control center 6 and other locations.

[0067] In summary, the present invention obtains power system parameters through optical fiber sensors, obtains video images of various sensors through video acquisition equipment, and displays the video images in the control center. Thus, while monitoring the power system, it can monitor the status of various sensors and related equipment, and avoid the failure to deal with abnormalities of various sensors and related equipment in a timely manner. And by transmitting and playing at the same time and merging multiple channels of video into one, the amount of data storage can be reduced. And when an abnormality occurs in the power system, it can make a timely response and efficiently record the response measures, and automatically delete duplicate records to achieve the purpose of streamlining records, and extract keywords to help personnel understand the content of the records.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An online monitoring system for power system parameters based on optical fiber sensing, characterized in that: include: A monitoring and acquisition module (1) is used to collect power system parameters and equipment environment parameters of the power system through optical fiber sensors; A video acquisition module (2) is used to shoot the monitoring acquisition module (1) through a plurality of video acquisition devices; The data concentration module (3) is used to classify the parameters collected by the monitoring and collection module (1) by their sources; The data application module (4) is used to pre-process the classified parameters according to user requirements and send the pre-processed data to the user; A control center (6) is used to receive the classified parameters and the video captured by the video acquisition module (2), and to display the classified parameters and the captured video; The abnormality handling communication module (7) is used for the staff of the control center (6) to communicate and handle the abnormality with the on-site staff through text and voice when an abnormality occurs in the parameters of the power system; In the abnormality handling communication module (7), when communicating and handling abnormal situations with on-site staff through text and voice, the text and voice generated during the communication and handling process are collected and stored, and the collected text data and voice data are merged; when merging the collected text data and voice data, the text of the text data is obtained, and a first voice information of the text is generated, and the voice data is merged with the first voice information to obtain a second voice information; the second voice information is divided into a plurality of voice sentences, and similarity judgment is performed on two voice sentences in sequence, and if the similarity of the two voice sentences is greater than a preset threshold, one of the two voice sentences is randomly deleted; when similarity judgment is performed on the two voice sentences in sequence, the two voice sentences are converted into a first spectrogram and a second spectrogram respectively; the first spectrogram and the second spectrogram are both input into a pre-trained similarity judgment model, and the similarity of the first spectrogram and the second spectrogram is output through the similarity judgment model, and if the similarity is greater than a preset threshold, one of the two voice sentences is randomly deleted, and similarity judgment is performed on all voice sentences in the second voice information in sequence, and a third voice information is obtained; After obtaining the third voice information, the third voice information is converted into text information, and punctuation marks are added to the text information manually, and key words are extracted from the text information.

2. The optical fiber sensing-based online monitoring system for power system parameters according to claim 1, characterized in that: Also includes: A data transmission module (5) is used to send the classified parameters and the video captured by the video acquisition module (2) to a control center (6); It also includes: an alarm module (8) for issuing an alarm when an abnormality occurs in a parameter in the power system; The monitoring acquisition module (1) is connected to the video acquisition module (2) and the data concentration module (3) respectively, the data concentration module (3) is connected to the data application module (4), the data application module (4) is connected to the data transmission module (5), the data transmission module (5) is connected to the video acquisition module (2) and the control center (6) respectively, and the control center (6) is connected to the abnormality processing communication module (7) and the alarm module (8) respectively.

3. The optical fiber sensing-based online monitoring system for power system parameters according to claim 2, characterized in that: When the monitoring and acquisition module (1) acquires power system parameters and power system equipment environmental parameters through optical fiber sensors, the optical fiber sensors include optical fiber current sensors, optical fiber voltage sensors, optical fiber temperature sensors, optical fiber humidity sensors and optical fiber ultrasonic sensors.

4. The online monitoring system for power system parameters based on optical fiber sensing according to claim 3 is characterized in that: When training the similarity judgment model, the first to-be-trained spectrogram, the second to-be-trained spectrogram, and the target similarity between the first to-be-trained spectrogram and the second to-be-trained spectrogram are obtained, and the similarity judgment model is obtained based on the first to-be-trained spectrogram, the second to-be-trained spectrogram, and the target similarity.

5. The optical fiber sensing-based online monitoring system for power system parameters according to claim 4 is characterized in that: Punctuation marks are manually added to the text message, and when extracting key words from the text message, the punctuation marks are detected. If the punctuation marks are periods, question marks, or exclamation marks, it indicates that the punctuation marks are preceded by a sentence. If the punctuation mark is a quotation mark and there is a colon before the quotation mark, the position of the punctuation mark is a sentence; If the punctuation mark is an ellipsis, and there is a carriage return immediately after the ellipsis, and there is no text after the ellipsis, it means that there is a sentence before the punctuation mark; Segment the text into several independent sentences and extract the keywords in each independent sentence; Summarize the keywords and sort them in descending order according to the number of times they appear.

6. The optical fiber sensing-based power system parameter online monitoring system according to claim 5, characterized in that: In the control center (6), when displaying the captured video, the video is displayed in a transmission-while-playing manner; When using the transmission and playback mode for display, the captured video is converted into digital video in ITU656 format through the video AD chip, and the digital video stream in ITU656 format is collected and extracted through FPGA, and several video channels are merged into one channel, and the merged video is divided into two channels; The first route is converted into D / A by the video DA chip and sent to the display screen for display. The second route is input into the ARM9 module and compressed into MPEG-4 format. At the same time, a file system is established for video storage.

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