Multi-mode data transmission and intelligent verification system of digital gas relay

Abstract

The invention relates to the technical field of digital gas relays, and discloses a multi-mode data transmission and intelligent verification system of a digital gas relay, which comprises a data acquisition unit, a data transmission unit, a data analysis and verification unit, a remote monitoring management unit, a data safety management unit and a self-learning optimization unit. According to the multi-mode data transmission and intelligent verification system of the digital gas relay, data acquired by a plurality of sensors can be effectively fused by adopting a weighted average fusion algorithm in the use process through the arranged data acquisition unit, and the advantages of the plurality of sensors are fully played, so that the accuracy and reliability of data acquisition are improved, and the reliability of the data acquisition is improved. And a filtering algorithm is adopted for filtering and denoising, so that external environment interference is removed, and the data quality is further improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital gas relay, in particular to a multi-mode data transmission and intelligent verification system of digital gas relay. BACKGROUND

[0002] The gas relay is a kind of protection device used in transformer, which is installed in the pipeline between the oil conservator and the oil tank of the transformer. When the oil is decomposed to produce gas or the oil flow is surging due to internal fault of the transformer, the contact of the gas relay is actuated to turn on the specified control circuit, and the signal is sent out in time to alarm or start the protection element to automatically remove the transformer. With the development of intelligence and digitization, the gas relay gradually adopts informationization and digitization.

[0003] At present, the gas relay used in the use process adopts a single sensor for data acquisition when collecting data, which cannot obtain comprehensive information. Secondly, when transmitting data, the communication mode is single, so when the network fails, the transmission mode cannot be switched in time, and the intelligent verification of data is lacking, so a multi-mode data transmission and intelligent verification system of digital gas relay is needed to solve the above problems. SUMMARY

[0004] The purpose of the present application is to provide a multi-mode data transmission and intelligent verification system of digital gas relay to solve the problems raised in the background art.

[0005] To achieve the above purpose, the present application provides the following technical scheme: a multi-mode data transmission and intelligent verification system of digital gas relay, comprising a data acquisition unit, a data transmission unit, a data analysis and verification unit, a remote monitoring and management unit, a data security management unit and a self-learning optimization unit, the data acquisition unit and the data transmission unit are signal connected, the data transmission unit and the data analysis and verification unit are signal connected, the data analysis and verification unit and the remote monitoring and management unit are signal connected, the data analysis and verification unit and the data security management unit are signal connected, and the data analysis and verification unit and the self-learning optimization unit are signal connected.

[0006] The data acquisition unit is used to collect data by using a sensor.

[0007] The data transmission unit is used to transmit data by using a multi-mode data transmission method, and to switch the transmission mode of data.

[0008] The data analysis and verification unit is used to intelligently analyze and verify the transmitted data by using an intelligent system.

[0009] The remote monitoring management unit is used for realizing remote management of data.

[0010] The data security management unit is used for protecting data.

[0011] The self-learning optimization unit is used for self-learning optimization of the system.

[0012] Preferably, the data acquisition unit comprises a multi-sensor fusion module, a data preprocessing module and a data cache module, the output end of the multi-sensor fusion module is signal connected with the data preprocessing module, and the output end of the data preprocessing module is signal connected with the data cache module.

[0013] The multi-sensor fusion module is used for fusing data collected by multiple sensors.

[0014] The data preprocessing module is used for filtering and denoising preprocessing operation on collected data.

[0015] The data cache module is used for temporarily storing preprocessed data.

[0016] Preferably, in the multi-sensor fusion module, weighted average fusion algorithm is adopted for fusion of data collected by multiple sensors, and the formula is as follows:

[0017]

[0018] Wherein, F is fused data, n is the number of sensors, w i is the weight of the i-th sensor data, x i is the data collected by the i-th sensor.

[0019] Preferably, the data preprocessing module adopts Kalman filtering algorithm, and the formula is as follows:

[0020]

[0021] Wherein, is the optimal estimation value at k moment, is the prediction value at k moment based on k-1 moment, is Kalman gain, is the measurement value at k moment, is the measurement matrix.

[0022] Preferably, the data transmission unit comprises a multi-mode communication interface module, a network state monitoring module and an intelligent routing decision module.

[0023] The multi-mode communication interface module is used for providing communication interfaces of multiple data transmission modes.

[0024] ​The network state monitoring module is configured to monitor network state parameters in real time.

[0025] The intelligent routing decision module is configured to select an optimal data transmission mode according to the network state parameters and preset rules.

[0026] Preferably, the network state parameters of the network state monitoring module include network bandwidth B, network delay D, and network packet loss rate L, and a comprehensive network state evaluation formula is:

[0027]

[0028] wherein S is a comprehensive network state evaluation value, is a maximum network bandwidth, , , is a weight coefficient, and + + = 1.

[0029] Preferably, the data analysis and verification unit includes a data feature extraction module, an anomaly detection module, and a data verification module, the output end of the data feature extraction module is signal connected with the anomaly detection module, and the output end of the anomaly detection module is signal connected with the data verification module.

[0030] The data feature extraction module is configured to extract feature parameters of data.

[0031] The anomaly detection module is configured to detect abnormal conditions in data.

[0032] The data verification module is configured to verify data.

[0033] Preferably, the remote monitoring and management unit includes a data visualization module, a remote control module, and a warning management module.

[0034] The data visualization module is configured to display data in a visual form.

[0035] The remote control module is configured to remotely control gas relay related equipment.

[0036] The warning management module is configured to issue a warning when data has an abnormal condition.

[0037] Preferably, the data security management unit includes a data encryption module, an access control module, and a security audit module.

[0038] The data encryption module is configured to encrypt data.

[0039] The access control module is configured to control access rights to data.

[0040] The security audit module is used for auditing data operations.

[0041] Preferably, the self-learning optimization unit comprises a model updating module, a parameter tuning module and a knowledge base management module.

[0042] The model updating module is used for updating the model of the system.

[0043] The parameter tuning module is used for adjusting the parameters of the system.

[0044] The knowledge base management module is used for managing the knowledge base of the system.

[0045] Compared with the prior art, the present application provides a multi-mode data transmission and intelligent verification system for a digital gas relay, which has the following beneficial effects:

[0046] 1. The multi-mode data transmission and intelligent verification system for the digital gas relay, by means of the data acquisition unit, in use, adopts a weighted average fusion algorithm to effectively fuse the data collected by multiple sensors, fully utilizes the advantages of multiple sensors, thereby improving the accuracy and reliability of data acquisition, and adopts a filtering algorithm for filtering and denoising, thereby removing external environmental interference and further improving data quality.

[0047] 2. The multi-mode data transmission and intelligent verification system for the digital gas relay, by means of the data transmission unit, in use, realizes real-time monitoring of network state parameters, calculates an evaluation value through a comprehensive network state evaluation formula, and dynamically selects the optimal transmission mode according to the evaluation value and a preset threshold value, thereby realizing intelligent switching of multi-mode data transmission and transmission mode and avoiding data transmission interruption caused by network failure.

[0048] 3. The multi-mode data transmission and intelligent verification system for the digital gas relay, by means of the data analysis and verification unit, in use, extracts characteristic parameters of data by means of a principal component analysis algorithm, thereby reducing data redundancy and retaining main information, thereby realizing verification of data and ensuring data integrity.

[0049] 4. The multi-mode data transmission and intelligent verification system for the digital gas relay, by means of the remote monitoring and management unit, in use, intuitively displays data through data visualization, thereby facilitating management personnel to understand the running state of the gas relay.

[0050] 5. The multi-mode data transmission and intelligent verification system for the digital gas relay, by means of the data security management unit, in use, encrypts data to prevent data leakage during transmission, and simultaneously realizes remote control of the gas relay.

[0051] 6. The multi-mode data transmission and intelligent verification system of the digitized gas relay, through the self-learning optimization unit, in use, the system is updated according to data and the system parameters are adjusted, so that the system can be self-optimized. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0053] Figure 1 The system structure diagram of the present application;

[0054] Figure 2 The data acquisition unit structure diagram of the present application;

[0055] Figure 3 The data transmission unit structure diagram of the present application;

[0056] Figure 4 The data analysis and verification unit structure diagram of the present application;

[0057] Figure 5 The remote monitoring and management unit structure diagram of the present application;

[0058] Figure 6 The data security management unit structure diagram of the present application;

[0059] Figure 7 The self-learning optimization unit structure diagram of the present application.

[0060] In the figure: 1, data acquisition unit; 11, multi-sensor fusion module; 12, data preprocessing module; 13, data cache module; 2, data transmission unit; 21, multi-mode communication interface module; 22, network state monitoring module; 23, intelligent routing decision module; 3, data analysis and verification unit; 31, data feature extraction module; 32, anomaly detection module; 33, data verification module; 4, remote monitoring and management unit; 41, data visualization module; 42, remote control module; 43, early warning management module; 5, data security management unit; 51, data encryption module; 52, access control module; 53, security audit module; 6, self-learning optimization unit; 61, model update module; 62, parameter tuning module; 63, knowledge base management module. DETAILED DESCRIPTION

[0061] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by those skilled in the art without creative efforts belong to the scope of the present application.

[0062] In the present application, unless specifically defined and limited otherwise, the terms "mounting", "connection", "connecting", "fixing" and the like should be interpreted broadly, for example, can be fixed connection, can also be detachable connection, or integral; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0063] Please refer to Figures 1-7 The present application provides a technical solution: a multi-mode data transmission and intelligent verification system of a digital gas relay, comprising a data acquisition unit 1, a data transmission unit 2, a data analysis and verification unit 3, a remote monitoring and management unit 4, a data security management unit 5 and a self-learning optimization unit 6. The data acquisition unit 1 is connected with the data transmission unit 2, the data transmission unit 2 is connected with the data analysis and verification unit 3, the data analysis and verification unit 3 is connected with the remote monitoring and management unit 4, the data analysis and verification unit 3 is connected with the data security management unit 5, and the data analysis and verification unit 3 is connected with the self-learning optimization unit 6.

[0064] The data acquisition unit 1 is used to collect data by using sensors.

[0065] The data transmission unit 2 is used to transmit data by using a multi-mode data transmission method, and to switch the transmission method of the data.

[0066] The data analysis and verification unit 3 is used to intelligently analyze and verify the transmitted data by using an intelligent system.

[0067] The remote monitoring and management unit 4 is used to realize remote management of the data.

[0068] The data security management unit 5 is used to protect the data.

[0069] The self-learning optimization unit 6 is used to self-learn and optimize the system.

[0070] Further, the data acquisition unit 1 comprises a multi-sensor fusion module 11, a data preprocessing module 12 and a data cache module 13, the output end of the multi-sensor fusion module 11 is signal connected with the data preprocessing module 12, and the output end of the data preprocessing module 12 is signal connected with the data cache module 13.

[0071] The multi-sensor fusion module 11 is used for fusing the data collected by multiple sensors.

[0072] The data preprocessing module 12 is used for filtering and denoising preprocessing operation on the collected data.

[0073] The data cache module 13 is used for temporarily storing the preprocessed data.

[0074] Further, in the multi-sensor fusion module 11, the data fusion of multiple sensors adopts a weighted average fusion algorithm, and the formula is as follows:

[0075]

[0076] Wherein, F is the fused data, n is the number of sensors, w i is the weight of the i th sensor data, and is the data collected by the i th sensor. i

[0077] Further, the data preprocessing module 12 adopts a Kalman filter algorithm, and the formula is as follows:

[0078]

[0079] Wherein, is the optimal estimation value at k time, is the prediction value at k-1 time based on k time, is the Kalman gain, is the measurement value at k time, is the measurement matrix.

[0080] Further, the data transmission unit 2 comprises a multi-mode communication interface module 21, a network state monitoring module 22 and an intelligent routing decision module 23.

[0081] The multi-mode communication interface module 21 is used for providing a communication interface of multiple data transmission modes.

[0082] The network state monitoring module 22 is used for monitoring network state parameters in real time.

[0083] The intelligent routing decision module 23 is used for selecting the optimal data transmission mode according to the network state parameters and preset rules.

[0084] ​Further, the network state parameters of the network state monitoring module 22 include network bandwidth B, network delay D, and network packet loss rate L, and the comprehensive network state evaluation formula is:

[0085]

[0086] wherein S is a comprehensive network state evaluation value, Bmax is the maximum network bandwidth, , , is a weight coefficient, and + + =1.

[0087] Further, the data analysis and verification unit 3 includes a data feature extraction module 31, an anomaly detection module 32, and a data verification module 33, the output end of the data feature extraction module 31 is signal connected with the anomaly detection module 32, and the output end of the anomaly detection module 32 is signal connected with the data verification module 33.

[0088] The data feature extraction module 31 is used to extract the characteristic parameters of the data.

[0089] The anomaly detection module 32 is used to detect abnormal conditions in the data.

[0090] The data verification module 33 is used to verify the data.

[0091] Further, the remote monitoring and management unit 4 includes a data visualization module 41, a remote control module 42, and a warning management module 43.

[0092] The data visualization module 41 is used to display the data in a visual form.

[0093] The remote control module 42 is used to remotely control the gas relay related equipment.

[0094] The warning management module 43 is used to issue a warning when the data has an abnormal condition.

[0095] Further, the data security management unit 5 includes a data encryption module 51, an access control module 52, and a security audit module 53.

[0096] The data encryption module 51 is used to encrypt the data.

[0097] The access control module 52 is used to control the access rights to the data.

[0098] The security audit module 53 is used to audit the data operation.

[0099] Further, the self-learning optimization unit 6 comprises a model updating module 61, a parameter tuning module 62, and a knowledge base management module 63.

[0100] The model updating module 61 is configured to update the model of the system.

[0101] The parameter tuning module 62 is configured to adjust the parameters of the system.

[0102] The knowledge base management module 63 is configured to manage the knowledge base of the system.

[0103] It is noted that the relative terms, such as first and second, etc., are used herein solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

Claims

1. A multi-mode data transmission and intelligent verification system for digitized gas relays, comprising a data acquisition unit (1), a data transmission unit (2), a data analysis and verification unit (3), a remote monitoring and management unit (4), a data security management unit (5), and a self-learning optimization unit (6), characterized in that: The data acquisition unit (1) is signal connected with the data transmission unit (2), the data transmission unit (2) is signal connected with the data analysis and verification unit (3), the data analysis and verification unit (3) is signal connected with the remote monitoring management unit (4), the data analysis and verification unit (3) is signal connected with the data security management unit (5), and the data analysis and verification unit (3) is signal connected with the self-learning optimization unit (6); The data acquisition unit (1) is used for collecting data by using sensors; The data transmission unit (2) is used for transmitting data by using a multi-mode data transmission mode and switching the data transmission mode; The data analysis and verification unit (3) is used for intelligently analyzing and verifying the transmitted data by using an intelligent system; The remote monitoring management unit (4) is used for realizing remote management of data; The data security management unit (5) is used for protecting data security; The self-learning optimization unit (6) is used for self-learning and optimizing the system.

2. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 1, characterized in that: The data acquisition unit (1) comprises a multi-sensor fusion module (11), a data preprocessing module (12) and a data caching module (13), the output end of the multi-sensor fusion module (11) is signal connected with the data preprocessing module (12), and the output end of the data preprocessing module (12) is signal connected with the data caching module (13); The multi-sensor fusion module (11) is used for fusing data collected by multiple sensors; The data preprocessing module (12) is used for filtering and denoising preprocessing operation on the collected data; The data caching module (13) is used for temporarily storing the preprocessed data.

3. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 2, characterized in that: In the multi-sensor fusion module (11), the weighted average fusion algorithm is used for fusing data collected by multiple sensors, and the formula is as follows: Wherein, F is the fused data, n is the number of sensors, w i is the weight of the i th sensor data, which , i is the data collected by the i th sensor.

4. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 1, characterized in that: The data preprocessing module (12) uses Kalman filtering algorithm, and the formula is as follows: wherein, is the optimal estimate value at time k, is the prediction value at time k based on time k-1, is the Kalman gain, is the measurement value at time k, is the measurement matrix.

5. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 1, characterized in that: The data transmission unit (2) comprises a multi-mode communication interface module (21), a network state monitoring module (22) and an intelligent routing decision module (23); The multi-mode communication interface module (21) is used for providing a communication interface of multiple data transmission modes; The network state monitoring module (22) is used for monitoring network state parameters in real time; The intelligent routing decision module (23) is used for selecting the optimal data transmission mode according to network state parameters and preset rules.

6. A multi-mode data transmission and intelligent verification system for a digital gas relay according to claim 4, characterized in that: The network state parameters of the network state monitoring module (22) comprise network bandwidth B, network delay D and network packet loss rate L, and the comprehensive network state evaluation formula is as follows: Wherein, S is a comprehensive network state evaluation value, is the maximum network bandwidth, , , is a weight coefficient, and + + = 1.

7. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 1, characterized in that: The data analysis and verification unit (3) comprises a data feature extraction module (31), an anomaly detection module (32) and a data verification module (33), the output end of the data feature extraction module (31) is signal connected with the anomaly detection module (32), and the output end of the anomaly detection module (32) is signal connected with the data verification module (33); The data feature extraction module (31) is used for extracting feature parameters of data; The anomaly detection module (32) is used for detecting abnormal conditions in data; The data checking module (33) is configured to check data.

8. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 1, characterized in that: The remote monitoring management unit (4) comprises a data visualization module (41), a remote control module (42) and an early warning management module (43). The data visualization module (41) is configured to display data in a visual form. The remote control module (42) is configured to remotely control gas relay related equipment. The early warning management module (43) is configured to issue a warning when data appears to be abnormal.

9. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 1, characterized in that: The data security management unit (5) comprises a data encryption module (51), an access control module (52) and a security audit module (53). The data encryption module (51) is configured to encrypt data. The access control module (52) is configured to control access to data. The security audit module (53) is configured to audit data operations.

10. The multi-mode data transmission and intelligent verification system of a digital gas relay according to claim 1, characterized in that: The self-learning optimization unit (6) comprises a model updating module (61), a parameter tuning module (62) and a knowledge base management module (63). The model updating module (61) is configured to update the model of the system. The parameter tuning module (62) is configured to adjust the parameters of the system. The knowledge base management module (63) is configured to manage the knowledge base of the system.

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