Comprehensive edge side monitoring system based on main transformer of gas turbine power plant

Abstract

The invention discloses an edge side comprehensive monitoring system based on a gas turbine power plant main transformer, and belongs to the technical field of gas turbine power generation monitoring. According to the method, the problems of low efficiency and large error of existing manual inspection are solved, real-time three-phase voltage data and three-phase current data of the edge side of the main transformer are acquired in real time, fault detection is performed on the data by adopting an edge computing technology, and a fault area of the edge side of the main transformer is positioned in combination with a network communication system; therefore, whether an abnormal condition exists on the edge side of the main transformer and the position of the fault are rapidly identified, and the practicability of the edge side comprehensive monitoring system of the main transformer is improved. The communication channel between the sending end and the receiving end is encrypted, before data feedback, the two parties need to carry out key authentication, and the data sending and receiving authority can only be obtained after the authentication is passed, so that the data is prevented from being accessed and modified without authorization during transmission, and the confidentiality and security of data transmission are improved.

Description

Technical Field

[0001] The invention relates to the technical field of gas turbine power generation, and in particular to an edge-side integrated monitoring system based on a main transformer of a gas turbine power plant. Background Art

[0002] As the name implies, the edge side of the main transformer is the low-voltage side. The high-voltage side and low-voltage side of the main transformer are the two main ports of the transformer. Their positions on the transformer and the functions they undertake are different; the wiring on the high-voltage side is usually set at the top or upper part of the side of the transformer, while the wiring on the low-voltage side is usually set at a lower position on the side or bottom of the transformer. Such a location setting is convenient for the connection between low-voltage equipment and users, as well as subsequent maintenance and overhaul work. The low-voltage side is connected to the low-voltage line of the power system, and its voltage level is relatively low, such as 10kV, 35kV (in some distribution transformers, the low-voltage side may be directly connected to the user's electrical equipment, and the voltage level is usually 0.4kV). Compared with the high-voltage side, the voltage on the low-voltage side is lower, but the current is larger; therefore, in order to ensure the normal operation of the edge side of the main transformer, it is necessary to detect the three-phase system on the edge side of the main transformer to determine the operating status of the edge side of the main transformer.

[0003] However, in the existing technology, the monitoring method of the edge side of the main transformer mainly relies on manual inspections, paper records and telephone communication. This method not only has high labor costs, but also lacks intelligent means, resulting in low work efficiency, inability to locate inspection tasks, non-standard inspection processes, and lack of closed-loop tracking of inspection defects.

[0004] Therefore, the existing needs are not met, and we propose an edge-side comprehensive monitoring system based on the main transformer of a gas turbine power plant. Summary of the invention

[0005] The purpose of the present invention is to provide an edge-side comprehensive monitoring system based on the main transformer of a gas turbine power plant. The system collects real-time three-phase voltage data and three-phase current data on the edge side of the main transformer in real time, uses edge computing technology to perform fault detection on the data, and locates the fault area on the edge side of the main transformer in combination with the network communication system. In this way, it can quickly identify whether there is an abnormal situation on the edge side of the main transformer and the location of the fault, thereby improving the practicality of the edge-side comprehensive monitoring system of the main transformer. By encrypting the communication channel between the sending end and the receiving end, both parties need to perform key authentication before data feedback, and only after authentication can they obtain data sending and receiving permissions, thereby preventing unauthorized access and modification of data during transmission, improving the confidentiality and security of data transmission, and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant includes:

[0008] The data acquisition unit is used to collect real-time three-phase voltage data and three-phase current data at the edge side of the main transformer of the gas turbine power plant;

[0009] A data processing unit, used to remove or correct abnormal data in the three-phase voltage data and the three-phase current data, and to perform structured storage on the processed three-phase voltage data and the three-phase current data;

[0010] A data analysis unit, used for solving the positive sequence, negative sequence and zero sequence components in the three-phase voltage data and the three-phase current data by using a graphical method;

[0011] A fault detection unit is used to detect faults in the three-phase system on the edge side of the main transformer using edge computing technology, and locate the fault area on the edge side of the main transformer in combination with the edge computing network communication system;

[0012] The data feedback unit uses wireless communication technology to periodically feed back the real-time three-phase voltage data and three-phase current data of the edge side of the main transformer and their data analysis results to the cloud client;

[0013] The cloud client is used to receive and structure the data on the edge side of the main transformer, and to compile statistics on the data and analysis results to form reports and graphs for query and analysis by operation and maintenance personnel.

[0014] Furthermore, the data processing unit comprises

[0015] The cleaning and processing module is used to remove the erroneous data and duplicate data in the three-phase voltage data and the three-phase current data, use the average value method to supplement the missing data, and perform filtering and noise reduction on the three-phase voltage data and the three-phase current data;

[0016] A data storage module, used to store the processed three-phase voltage data and three-phase current data in a cloud client using a structured storage method;

[0017] The data encryption module is used to perform tamper-proof encryption processing on the distributed stored three-phase voltage data and three-phase current data using public and private key encryption.

[0018] Furthermore, in the data storage module, the processed three-phase voltage data and three-phase current data are stored in the cloud client in a structured storage manner, which specifically includes the following steps:

[0019] The collected three-phase voltage data and three-phase current data are integrated into a unified data structure, which includes: timestamp, voltage value and current value. After ensuring the uniformity of each data format, the integrated three-phase voltage data and three-phase current data are stored in the database.

[0020] Furthermore, in the data analysis unit, a graphical method is used to solve the positive sequence, negative sequence and zero sequence components in the three-phase voltage data and the three-phase current data, which specifically includes the following steps:

[0021] To find the positive sequence component: First, keep the A phase vector stationary, rotate the B phase vector 120° counterclockwise, and rotate the C phase vector 120° clockwise, so that they are roughly in the same direction as the A phase vector, then add the adjusted A, B, and C three-phase vectors, and divide the result by 3. The result is the A phase of the positive sequence component; similarly, we can get: B phase and C phase, but they will maintain a phase difference of 120°;

[0022] To calculate the negative sequence component: First, keep the A phase vector stationary, rotate the B phase vector 120° clockwise, and rotate the C phase vector 120° counterclockwise to achieve the relative position swap of the B and C phases, then add the adjusted A, B, and C three-phase vectors, and divide the result by 3. The result is the A phase of the negative sequence component. Similarly, it can be obtained that the B phase and the C phase will also maintain the corresponding phase difference.

[0023] To find the zero-sequence component: First, keep the three-phase vectors stationary, translate the origin of phase B to the top of the phase A vector, translate the origin of phase C to the top of the phase B vector, and then directly add the three vectors to obtain their sum vector; divide the amplitude of the sum vector by 3, and the result is the vector of the zero-sequence component.

[0024] Furthermore, the fault detection unit comprises

[0025] The fault detection module is used to perform feature analysis on the three-phase voltage data and the three-phase current data through the edge computing node, including: judging whether multiple current features exceed their respective feature thresholds for each current cycle, and obtaining whether there is an abnormal state in the three-phase voltage data and the three-phase current data;

[0026] The fault location module is used to locate the fault using the double-terminal distance measurement formula. After determining that there is an arc fault in a certain current cycle, the specific location of the fault is determined by calculating the time difference between the transient signals at both ends of the transmission line reaching the signal measurement point and using the double-terminal distance measurement formula.

[0027] Furthermore, in the fault detection module, for each current cycle, it is determined whether multiple current characteristics exceed respective characteristic thresholds, specifically:

[0028] If multiple current characteristics are judged to exceed their respective set thresholds in each current cycle, the current cycle is considered abnormal and an arc cycle may exist. Fault diagnosis is then performed based on the results of the characteristic analysis, including: determining whether the cumulative amount of arc cycles within a moving time window exceeds the set threshold; if so, determining that an arc fault exists in the current cycle.

[0029] Furthermore, the data feedback unit comprises

[0030] The transmission encryption module is used to encrypt data during data transmission using symmetric encryption. The same key is preset for the sender and the cloud client. Before the two parties transmit data, the sender and the cloud client input the same key in the transmission system for decryption. After obtaining the right to use the data transmission channel, data transmission can be carried out;

[0031] The timing feedback module is used to obtain the working time of the edge side of the main transformer and its data acquisition unit as a basis, preset the time node of data feedback, and control the data acquisition unit to process and feedback the collected three-phase voltage data and three-phase current data according to the preset time node.

[0032] Furthermore, the data feedback unit also includes

[0033] The feedback adjustment module is used to timely adjust the time nodes of data feedback based on the monitoring results of the edge side of the main transformer when an abnormality is found on the edge side of the main transformer, including: increasing the number of data feedbacks and shortening the time between each two groups of time nodes;

[0034] The alternating feedback module is used to give priority to feeding back the repair completion signal to the cloud client after the abnormal state on the edge side of the main transformer is repaired.

[0035] Furthermore, the cloud client includes

[0036] The first storage module is used to establish a database and store the fused three-phase voltage data and three-phase current data in a structured manner;

[0037] The second storage module is used to receive the data analysis results and abnormal repair feedback results of the edge side of the main transformer, and save the results in time sequence;

[0038] The terminal access module is used to create cloud client usage permissions using the symmetric key method. Operation and maintenance personnel obtain cloud client usage permissions based on the same key.

[0039] Furthermore, the first storage module includes

[0040] An updating storage module is used to continue to store the real-time three-phase voltage data and three-phase current data updated at the edge side of the main transformer;

[0041] The search setting module is used to extract relevant keywords from the three-phase voltage data and the three-phase current data, and create corresponding search keywords according to the frequency indicated by the keywords.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] 1. The present invention collects real-time three-phase voltage data and three-phase current data on the edge side of the main transformer in real time, uses edge computing technology to perform fault detection on the three-phase system on the edge side of the main transformer, and locates the fault area on the edge side of the main transformer in combination with the edge computing network communication system; thereby quickly identifying whether there is an abnormal situation on the edge side of the main transformer and the location of the fault, thereby ensuring the abnormal identification function of the comprehensive monitoring system on the edge side of the main transformer, avoiding the disadvantages of manual inspections, and improving the practicability of the comprehensive monitoring system on the edge side of the main transformer.

[0044] 2. The present invention encrypts the communication channel between the sending end and the receiving end in the system. Before the sending end, i.e., the data processing unit, transmits and feeds back data to the receiving end, i.e., the cloud client, both parties need to perform key authentication. After the authentication, both parties can obtain data sending and receiving permissions, thereby preventing unauthorized access and modification of data during transmission, thereby improving the confidentiality and security of data transmission in the edge-side integrated monitoring system of the main transformer. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a composition diagram of the edge-side integrated monitoring system based on the main transformer of a gas turbine power plant according to the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] In order to solve the technical problems that the monitoring method of the edge side of the main transformer in the current technology mainly relies on manual inspection, paper records and telephone communication, which not only has high labor costs, but also lacks intelligent means, resulting in low work efficiency, inability to locate inspection tasks, non-standard inspection processes, and lack of closed-loop tracking of inspection defects, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0048] The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant includes:

[0049] The data acquisition unit is used to collect real-time three-phase voltage data and three-phase current data on the edge side of the main transformer of the gas turbine power plant; specifically, the three-phase voltage data and three-phase current data can reflect the load condition, operating status and possible electrical problems on the edge side of the main transformer; by measuring the three-phase voltage and current, it is possible to analyze whether the load of the main transformer is balanced, that is, whether the three-phase load is evenly distributed; if the three-phase load is unbalanced, it may cause overheating or uneven aging of the transformer, affecting its service life; in addition, by monitoring the three-phase voltage and current data, electrical faults or abnormal operating conditions, such as short circuit, open circuit or equipment damage, can be discovered in time, which is the basis for fault detection and positioning on the edge side of the main transformer.

[0050] The data processing unit is used to remove or correct abnormal data in the three-phase voltage data and the three-phase current data, and to perform structured storage on the processed three-phase voltage data and the three-phase current data; the data processing unit includes:

[0051] The cleaning and processing module is used to remove erroneous data and duplicate data in the three-phase voltage data and the three-phase current data, supplement the missing data with the average value method, and filter and reduce the noise of the three-phase voltage data and the three-phase current data; specifically, firstly, by cleaning the three-phase voltage data and the three-phase current data, the accuracy, completeness, consistency and reliability of the three-phase voltage data and the three-phase current data can be ensured, providing a more reliable basis for subsequent data analysis and decision-making; in addition, cleaning can remove redundant and duplicate information in the data, reduce the burden of data storage and processing, make the data more reliable and accurate, and thus make data analysis and decision-making more efficient and accurate; secondly, through filtering and noise reduction processing, the noise and interference in the data can be effectively removed, making the data closer to the real signal, thereby improving the reliability and accuracy of the data.

[0052] The data storage module is used to store the processed three-phase voltage data and three-phase current data in the cloud client in a structured storage manner; specifically, it includes the following steps:

[0053] The collected three-phase voltage data and three-phase current data are integrated into a unified data structure, and the data structure includes: timestamp, voltage value and current value. After ensuring the uniformity of the data formats, the integrated three-phase voltage data and three-phase current data are stored in the database; specifically, by performing structured storage on the three-phase voltage data and the three-phase current data, the integrity and security of the three-phase voltage data and the three-phase current data can be effectively improved; since the voltage and current data may come from different devices, data fusion is required before storage to make the data structures the same, ensure data consistency, and facilitate subsequent analysis and processing; in addition, the structured storage method can effectively simplify data management, improve data availability and performance, and support multi-user concurrent access functions; thereby ensuring the queryability, traceability and security of various data, and ensuring that the data can be quickly retrieved and updated.

[0054] The data encryption module is used to perform tamper-proof encryption processing on the distributed stored three-phase voltage data and three-phase current data using public-private key encryption; specifically, in this embodiment, when the data is encrypted using the public-private key encryption method, first, a pair of public keys and private keys are generated, the public key is used to encrypt the power data, and the private key is used to decrypt the data, so as to ensure that only the party with the private key can decrypt the data, thereby ensuring the confidentiality of the power data. Secondly, the sender, i.e., the data processing unit, and the receiver, i.e., the cloud client, encrypt the data using the public key to ensure that even if the power data is intercepted, the data cannot be decrypted without the private key, thereby protecting the confidentiality of the data; furthermore, in order to prevent the data from being tampered with, the sender, i.e., the data processing unit, also needs to digitally sign the data using its own private key. By sending the encrypted data and the signature together, it ensures that the receiver, i.e., the cloud client, can verify the integrity and source of the data, and prevent man-in-the-middle attacks and replay attacks; subsequently, the encrypted and signed data is sent to the receiver, i.e., the cloud client, to ensure the security of the data during transmission and prevent the data from being intercepted, tampered with or replayed; finally, after receiving the data, the receiver, i.e., the cloud client, first uses its own private key to decrypt the encrypted data, and then uses the public key of the sender, i.e., the data processing unit, to verify the digital signature; if the signature verification is successful, it means that the data has not been tampered with during transmission; the public-private key encryption method effectively prevents data tampering, interception and replay, thereby ensuring the confidentiality, integrity and authenticity of the data.

[0055] The data analysis unit is used to solve the positive sequence, negative sequence and zero sequence components in the three-phase voltage data and the three-phase current data by using a graphical method; specifically, it includes the following steps:

[0056] To find the positive sequence component: First, keep the A phase vector stationary, rotate the B phase vector 120° counterclockwise, and rotate the C phase vector 120° clockwise, so that they are roughly in the same direction as the A phase vector, then add the adjusted A, B, and C three-phase vectors, and divide the result by 3. The result is the A phase of the positive sequence component; similarly, we can get: B phase and C phase, but they will maintain a phase difference of 120°; To find the negative sequence component: First, keep the A phase vector stationary, and rotate the B phase vector 120° clockwise , the C-phase vector rotates 120° counterclockwise to achieve the relative position swap of phases B and C, and then the adjusted A, B, and C three-phase vectors are vector-added, and the result is divided by 3, and the result is the negative-sequence component of phase A; similarly, phases B and C will also maintain the corresponding phase difference; to find the zero-sequence component: first, keep the three-phase vectors stationary, translate the origin of phase B to the top of the A-phase vector, translate the origin of phase C to the top of the B-phase vector, and then directly add the three vectors to obtain their Sum vector; divide the amplitude of the sum vector by 3, and the result is the vector of zero-sequence components; wherein, the positive-sequence component is a symmetrical component rotating in the normal phase sequence, the negative-sequence component is a symmetrical component rotating in the opposite phase sequence, and the zero-sequence component is a component of equal magnitude and direction in the three-phase system. Since the zero-sequence component has the same direction in each phase, it is usually expressed as a vector pointing in a certain direction from the neutral point of the system; specifically, in a three-phase power system, the asymmetry of voltage or current can be analyzed by positive-sequence, negative-sequence and zero-sequence components; the above-mentioned components are zero-sequence components when a fault occurs in the power system, especially when single-phase grounding occurs, and the system fault is analyzed by detecting these two components that should not appear under normal circumstances; based on this, in this embodiment, by using a graphical method to solve the positive-sequence, negative-sequence and zero-sequence components in the three-phase voltage data and the three-phase current data, it is possible to intuitively understand the positive-sequence, negative-sequence and zero-sequence components in the three-phase unbalanced system, thereby providing strong data support for the fault analysis on the edge side of the main transformer.

[0057] A fault detection unit is used to detect faults in the three-phase system on the edge side of the main transformer using edge computing technology, and locate the fault area on the edge side of the main transformer in combination with the edge computing network communication system; the fault detection unit includes:

[0058] The fault detection module is used to perform feature analysis on the three-phase voltage data and the three-phase current data through the edge computing node, including: judging whether multiple current characteristics exceed their respective feature thresholds for each current cycle, and obtaining whether there is an abnormal state in the three-phase voltage data and the three-phase current data; if it is judged that multiple current characteristics exceed their respective set thresholds for each current cycle, then the current cycle is regarded as abnormal and there may be an arc cycle; then fault diagnosis is performed based on the results of the feature analysis, including: judging whether the cumulative amount of arc cycles within a moving time window exceeds the set threshold; if it exceeds, it is determined that there is an arc fault in the current cycle; specifically, in the fault detection on the edge side of the main transformer, the three-phase data is processed in real time through edge computing, which can quickly identify abnormal patterns, reduce data loss, and improve the accuracy and efficiency of fault diagnosis; in addition, edge computing technology can also optimize the processing flow of various power data, reduce dependence on central servers through local processing and analysis, and improve the overall reliability and response speed of the system.

[0059] The fault location module is used to use a two-terminal ranging formula to locate the fault. After determining that there is an arc fault in a certain current cycle, the time difference between the transient signals at both ends of the transmission line reaching the signal measurement point is calculated, and the specific location of the fault is determined by using the two-terminal ranging formula. Specifically, in this embodiment, when the two-terminal ranging formula is used to locate the fault, first, the fault traveling wave is extracted from the power data on the edge side of the main transformer, and the fault traveling wave is further processed to obtain the fault traveling wave component; then the extracted fault traveling wave component is subjected to phase mode transformation to convert the fault traveling wave from the actual three-phase system into a mode that is easier to analyze, so as to facilitate subsequent analysis and processing; then a specific characteristic frequency band is selected, and the line mode fault current at both ends is subjected to phase mode transformation to obtain the fault traveling wave component. The traveling wave is subjected to zero-phase bandpass filtering to obtain the signal component of the characteristic frequency band, thereby enhancing the characteristics of the fault signal in order to more accurately locate the fault; in addition, since the selection of wave velocity directly affects the accuracy and reliability of ranging, it is necessary to determine the wave velocity corresponding to the selected characteristic frequency band; then the wave velocity is inverted using simulation technology to verify and calibrate the previously determined wave velocity to ensure its accuracy in actual conditions; the characteristics of the fault signal are enhanced again, and the arrival time of the wave head is detected; finally, the total length of the two-end ranging and the arrival time of the fault traveling wave are used to calculate the fault distance through the two-end ranging formula, that is, to determine the specific location of the fault; through the above steps, the fault on the edge side of the main transformer can be accurately and efficiently located.

[0060] The data feedback unit, based on wireless communication technology, regularly feeds back the real-time three-phase voltage data and three-phase current data of the edge side of the main transformer and the data analysis results to the cloud client; the data feedback unit includes:

[0061] The transmission encryption module is used to use symmetric encryption to perform encryption processing during data transmission. The same key is preset for the sender and the cloud client respectively. Before the two parties perform data transmission, the sender and the cloud client input the same key in the transmission system for decryption, and after obtaining the right to use the data transmission channel, data transmission is performed; specifically, in this embodiment, if: when the symmetric encryption method is used for encryption processing during data transmission, first, a TCP / IP protocol connection is established between the sender, i.e., the data processing unit, and the receiver, i.e., the cloud client. After the connection is established, the data processing unit sends an encrypted communication request to the cloud client to ensure that both parties support encrypted communication; the cloud client will send a digital certificate to the data processing unit, which includes: the receiver's public key and other relevant information. The data processing unit needs to verify the validity of the certificate, including: checking the signature and validity period of the certificate; when the certificate verification is passed, the data processing unit will generate a random symmetric key and encrypt it using the public key of the cloud client; after the cloud client receives the encrypted symmetric key, it uses its own private key to decrypt it to obtain the symmetric key; finally, both parties use this symmetric key to encrypt and decrypt the communication content, thereby ensuring that the data transmission between the sender, i.e., the data processing unit, and the receiver, i.e., the cloud client, is encrypted to ensure the confidentiality of the data transmission.

[0062] The timing feedback module is used to obtain the working time of the edge side of the main transformer and its data acquisition unit as a basis, preset the time node of data feedback, and control the data acquisition unit to process and feedback the collected three-phase voltage data and three-phase current data according to the preset time node; specifically, the data acquisition unit is in real-time monitoring mode. Therefore, in order to ensure the timeliness of data transmission, the timing feedback time point is set according to the operating time of the above-mentioned equipment, so as to facilitate the regular feedback of the monitoring data to the relevant units for processing, analysis and fault identification and positioning; the setting of the time node can be set according to actual needs.

[0063] The feedback adjustment module is used to timely adjust the time node of data feedback based on the monitoring results of the edge side of the main transformer when an abnormality is found on the edge side of the main transformer, including: increasing the number of data feedbacks and shortening the time between each two groups of time nodes; specifically, the feedback adjustment module is mainly used for making changes to the originally set feedback time node when fault identification is performed. For example, the originally set feedback time node is to provide feedback once every 30 minutes. After an abnormality is found, the feedback time node can be adjusted to provide feedback once every 15 minutes. Based on this, the number of feedbacks is increased, the time interval is shortened, and the comprehensive monitoring of the edge side of the main transformer is improved.

[0064] The iterative feedback module is used to give priority to feeding back a repair completion signal to the cloud client after the abnormal state on the edge side of the main transformer is repaired. Specifically, the iterative feedback module is mainly used to, when an operation abnormality is found on the edge side of the main transformer, feed back to the cloud client to remind the operation and maintenance personnel to carry out maintenance, continue to collect three-phase data on the edge side of the main transformer through the data acquisition unit, and continue to analyze and process the data. When the processing result shows that the operation status of the edge side of the main transformer is normal, the data being fed back at this time can be paused, and the abnormal state repair completion signal is fed back to the cloud client in priority. After the signal feedback is successful, the previously paused data is continued to be fed back. The cloud client adjusts the data feedback time node to the original state in time based on the repair completion signal.

[0065] The cloud client is used to receive and structure the data on the edge side of the main transformer, and to generate statistics and graphs for the data and analysis results for query and analysis by operation and maintenance personnel. The cloud client includes:

[0066] The first storage module is used to establish a database and store the fused three-phase voltage data and three-phase current data in a structured manner. The first storage module includes:

[0067] The update storage module is used to continue to store the real-time three-phase voltage data and three-phase current data updated on the edge side of the main transformer; specifically, since the data acquisition unit needs to monitor the edge side of the main transformer every day, the three data on the edge side of the main transformer are continuously updated every day, so the update storage module is mainly used to store the three-phase voltage data and three-phase current data that are constantly updated, thereby enriching the content of the database and providing strong data support for subsequent analysis.

[0068] The retrieval setting module is used to extract relevant keywords from the three-phase voltage data and the three-phase current data, and create corresponding retrieval keywords according to the frequency indicated by the keywords; specifically, by creating retrieval keywords, it is mainly convenient for operation and maintenance personnel to quickly retrieve the required data and information based on the relevant keywords in the later stage, thereby improving the subsequent practicality of the database.

[0069] The second storage module is used to receive the data analysis results and abnormal repair feedback results of the edge side of the main transformer, and save the results in time sequence;

[0070] The terminal access module is used to create cloud client usage permissions using the symmetric key method, and the operation and maintenance personnel obtain cloud client usage permissions based on the same key; specifically, as mentioned above, the access and operation rights of the cloud client are obtained by using the symmetric key method, thereby preventing non-operation and maintenance personnel from arbitrarily logging in and accessing the edge-side integrated monitoring system of the main transformer, thereby ensuring the security of the edge-side integrated monitoring system of the main transformer.

[0071] The beneficial effects achieved by the above content are as follows: Through the above operation, it is possible to quickly identify whether there is an abnormal situation on the edge side of the main transformer and the location of the fault, thereby ensuring the abnormal identification function of the edge side comprehensive monitoring system of the main transformer, avoiding the disadvantages of manual inspections, and improving the practicality of the edge side comprehensive monitoring system of the main transformer; secondly, it effectively prevents unauthorized access and modification of data during transmission, thereby improving the confidentiality and security of data transmission in the edge side comprehensive monitoring system of the main transformer.

[0072] Working principle: By collecting real-time three-phase voltage data and three-phase current data on the edge side of the main transformer of the gas turbine power plant, the three-phase voltage data and three-phase current data are structured and stored, and the positive, negative and zero-sequence components in the three-phase voltage data and three-phase current data are solved by the graphical method; at the same time, the three-phase system on the edge side of the main transformer is detected for faults, and the edge computing network communication system is combined to locate the fault area on the edge side of the main transformer; the real-time three-phase voltage data and three-phase current data on the edge side of the main transformer and their data analysis results are fed back to the cloud client at a regular interval, and the cloud client statistically analyzes the data and analysis results to form reports and curves for operation and maintenance personnel to query and analyze.

[0073] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0074] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant is characterized by: include: The data acquisition unit is used to collect real-time three-phase voltage data and three-phase current data at the edge side of the main transformer of the gas turbine power plant; A data processing unit, used to remove or correct abnormal data in the three-phase voltage data and the three-phase current data, and to perform structured storage on the processed three-phase voltage data and the three-phase current data; A data analysis unit, used for solving the positive sequence, negative sequence and zero sequence components in the three-phase voltage data and the three-phase current data by using a graphical method; A fault detection unit is used to detect faults in the three-phase system on the edge side of the main transformer using edge computing technology, and locate the fault area on the edge side of the main transformer in combination with the edge computing network communication system; The data feedback unit uses wireless communication technology to periodically feed back the real-time three-phase voltage data and three-phase current data of the edge side of the main transformer and the data analysis results to the cloud client; The cloud client is used to receive and structure the data on the edge side of the main transformer, and to compile statistics on the data and analysis results to form reports and graphs for query and analysis by operation and maintenance personnel.

2. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 1 is characterized in that: The data processing unit comprises The cleaning and processing module is used to remove the erroneous data and duplicate data in the three-phase voltage data and the three-phase current data, use the average value method to supplement the missing data, and perform filtering and noise reduction on the three-phase voltage data and the three-phase current data; A data storage module, used to store the processed three-phase voltage data and three-phase current data in a cloud client using a structured storage method; The data encryption module is used to perform tamper-proof encryption processing on the distributed stored three-phase voltage data and three-phase current data using public and private key encryption.

3. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 2 is characterized in that: In the data storage module, the processed three-phase voltage data and three-phase current data are stored in the cloud client in a structured storage manner, which specifically includes the following steps: The collected three-phase voltage data and three-phase current data are integrated into a unified data structure, which includes: timestamp, voltage value and current value. After ensuring the uniformity of each data format, the integrated three-phase voltage data and three-phase current data are stored in the database.

4. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 1 is characterized in that: In the data analysis unit, a graphical method is used to solve the positive sequence, negative sequence and zero sequence components in the three-phase voltage data and the three-phase current data.

5. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 1 is characterized in that: The fault detection unit comprises The fault detection module is used to perform feature analysis on the three-phase voltage data and the three-phase current data through the edge computing node, including: judging whether multiple current features exceed their respective feature thresholds for each current cycle, and obtaining whether there is an abnormal state in the three-phase voltage data and the three-phase current data; The fault location module is used to locate the fault using the double-terminal distance measurement formula. After determining that there is an arc fault in a certain current cycle, the specific location of the fault is determined by calculating the time difference between the transient signals at both ends of the transmission line reaching the signal measurement point and using the double-terminal distance measurement formula.

6. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 5 is characterized in that: In the fault detection module, for each current cycle, it is determined whether multiple current characteristics exceed their respective characteristic thresholds, specifically: If multiple current characteristics are judged to exceed their respective set thresholds in each current cycle, the current cycle is considered abnormal and an arc cycle may exist. Fault diagnosis is then performed based on the results of the characteristic analysis, including: determining whether the cumulative amount of arc cycles within a moving time window exceeds the set threshold; if so, determining that an arc fault exists in the current cycle.

7. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 1 is characterized in that: The data feedback unit comprises The transmission encryption module is used to encrypt data during data transmission using symmetric encryption. The same key is preset for the sender and the cloud client. Before the two parties transmit data, the sender and the cloud client input the same key in the transmission system for decryption. After obtaining the right to use the data transmission channel, data transmission can be carried out; The timing feedback module is used to obtain the working time of the edge side of the main transformer and its data acquisition unit as a basis, preset the time node of data feedback, and control the data acquisition unit to process and feedback the collected three-phase voltage data and three-phase current data according to the preset time node.

8. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 7 is characterized in that: The data feedback unit also includes The feedback adjustment module is used to timely adjust the time nodes of data feedback based on the monitoring results of the edge side of the main transformer when an abnormality is found on the edge side of the main transformer, including: increasing the number of data feedbacks and shortening the time between each two groups of time nodes; The alternating feedback module is used to give priority to feeding back the repair completion signal to the cloud client after the abnormal state on the edge side of the main transformer is repaired.

9. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 1 is characterized in that: The cloud client comprises The first storage module is used to establish a database and store the fused three-phase voltage data and three-phase current data in a structured manner; The second storage module is used to receive the data analysis results and abnormal repair feedback results of the edge side of the main transformer, and save the results in time sequence; The terminal access module is used to create cloud client usage permissions using the symmetric key method. Operation and maintenance personnel obtain cloud client usage permissions based on the same key.

10. The integrated monitoring system for the edge side of the main transformer of a gas turbine power plant according to claim 9 is characterized in that: The first storage module comprises An updating storage module is used to continue to store the real-time three-phase voltage data and three-phase current data updated at the edge side of the main transformer; The search setting module is used to extract relevant keywords from the three-phase voltage data and the three-phase current data, and create corresponding search keywords according to the frequency indicated by the keywords.

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