CN116760868B - Automatic judging and detecting method and system for intelligent distribution transformer - Google Patents

Abstract

The invention discloses an automatic judging and detecting method and system for an intelligent distribution transformer, wherein the method comprises the following steps: the server generates a detection task according to the detection requirement and sends the detection task to the mobile terminal; after receiving and displaying the detection task, the mobile terminal sends the detection task to a quick detection device; the quick detection device executes a corresponding detection task according to the received detection task information and collects detection data, and the quick detection device sends the detection data to the server through the mobile terminal; after receiving the detection data, the server processes the detection data and automatically judges the detection result by using a preset transformer detection data model; and according to the judging result, the server automatically generates a distribution transformer detection report. The method of the invention realizes the on-line control of the whole transformer field detection process, and improves the efficiency and quality of detection work.

Description

An automatic determination and detection method and system for intelligent distribution transformers

Technical field

The invention belongs to the field of computer technology, and in particular relates to an automatic determination and detection method and system for intelligent distribution transformers.

Background technique

As one of the important equipment in the power system, distribution transformer is responsible for the transmission and distribution of electric energy. In order to ensure the reliable operation of the power system, regular inspection and maintenance of distribution transformers is very necessary. However, traditional on-site transformer detection methods have many problems, such as cumbersome operations, low automation, and inconvenient data management. These problems not only affect the efficiency of detection work, but may also lead to inaccurate detection results, thereby affecting the stable operation of the power system.

With the development of science and technology, intelligent technology has been widely used in many fields. Intelligent technology can improve efficiency and quality in the production process through automated control, data analysis and other means. In the field of distribution transformer detection, the application of intelligent technology is particularly important. However, most of the transformer testing instruments currently on the market cannot realize automated test process control, automatically generate test reports, and connect test data to the intranet. They also cannot implement blind inspection functions. These problems limit the improvement of the digitalization and intelligence level of distribution transformer inspection business.

And some mobile distribution transformer detection devices can carry out equipment testing in an information external network environment, but there are still information security risks. In addition, on-site inspection personnel usually need to receive tasks through mobile terminals and then manually perform various test tasks. This process is time-consuming and error-prone. After the inspection is completed, the inspection data usually needs to be manually uploaded to the quality supervision platform. This process is not convenient and can easily lead to the omission or tampering of data. For example, patent CN106597158A discloses a comprehensive detection device for distribution transformers, which includes: a mobile device and a detection module installed on the mobile device, an integrated wiring module, an integrated controller and a central controller. The detection module is connected to the integrated controller through the integrated wiring module. , realize automatic testing of distribution transformers, and the central controller realizes the analysis and storage of test data. Although it can integrate control and management, conduct unified data management and diagnostic analysis, and improve the reliability of transformer operation and technical management level, it still cannot realize automated test process control, automatically generate test reports, and connect test data to the intranet. At the same time, it cannot There are information security risks. Therefore, how to apply intelligent technology to distribution transformer testing to achieve automated test process control, automatically generate test reports, automatically and safely collect test data to the material quality supervision platform, and have blind inspection functions has become an urgent problem to be solved question.

Existing intelligent detection methods often lack sufficient consideration of information security, which may lead to leakage or tampering of detection data. Therefore, it is necessary to develop a mobile distribution transformer intelligent quick inspection device that can safely carry out equipment testing in an information external network environment. It has the ability of the operator's wireless VPN dedicated line to access the information intranet, and at the same time relies on the material quality supervision platform. The ability to send detection tasks and receive tasks in real time is particularly important.

Contents of the invention

In view of the defects existing in the above-mentioned prior art, the present invention provides an automatic determination and detection method and system for intelligent distribution transformers, which can ensure the safety of detection task data transmission while ensuring that only the quick inspection device and the server can access and read. Obtain detection data to meet the permission requirements of different devices.

In a first aspect, the present invention provides an automatic determination and detection method for intelligent distribution transformers. The method includes:

The server generates detection tasks based on detection requirements and sends the detection tasks to the mobile terminal;

After the mobile terminal receives and displays the detection task, the mobile terminal sends the detection task to the quick inspection device;

The quick inspection device performs corresponding inspection tasks according to the received inspection task information and collects inspection data;

The quick inspection device uses a key algorithm to generate a first shared key K1 for encrypting the detection data, and sends the encrypted detection data to the server through the mobile terminal;

After receiving the detection data, the server uses the key algorithm to generate the second shared key K2 for decrypting the detection data, and uses the decrypted detection data to determine the detection results using the preset transformer detection data model;

According to the detection results, the server automatically generates a transformer detection report.

Among them, both the quick inspection device and the server generate the corresponding first shared key K1 and second shared key K2 through the Diffie-Hellman algorithm.

Among them, machine learning or deep learning methods are used to build a transformer detection data model.

Wherein, the mobile terminal display includes task ID, detection items, start time and end time, used to display detailed information of the detection task;

And display the reception status of the detection data, indicating whether the mobile terminal has received the detection data of the corresponding detection task sent by the quick detection device.

Among them, when the server generates detection tasks based on detection requirements, it also includes:

The server generates a global parameter set, including multiple pairs of global parameters g and p. In each pair of global parameters g and p, p is a large prime number and g is the generator of p. When the server needs to issue a detection task, the The server selects a pair of global parameters g and p based on the ID of the quick inspection device that performs the detection task, and generates the first temporary private key a and the corresponding server public key A based on the selected pair of global parameters g and p.

Wherein, the server sends the detection task information, server public key A, selected global parameters g, p and quick detection device ID to the mobile terminal;

After receiving it, the mobile terminal displays the detection task information to the user, and forwards the detection task information, the server public key A, the selected global parameters g, p and the quick detection device ID to the user. The quick inspection device corresponding to the quick inspection device ID.

Wherein, the quick inspection device generates the second temporary private key b and the corresponding quick inspection device public key B based on the global parameters g and p, and obtains the first shared key K1 based on the second temporary private key b and the server public key A, At the same time, the detection is performed according to the detection task. After the detection is completed, the detection data is encrypted using the first shared key K1, and the encrypted detection data and the public key B of the quick detection device are sent to the server through the mobile terminal. The server After receiving the encrypted detection data, the second shared key K2 is obtained through the first temporary private key a and the public key B of the rapid detection device, and the second shared key K2 is used to decrypt the detection data.

Wherein, the method also includes:

The RSA encryption algorithm is used for communication security between the server and the mobile terminal.

Wherein, the server generates an RSA key pair, the RSA key pair includes a public key and a private key, the server holds the private key for signature detection tasks, and the server sends the RSA public key to the mobile terminal .

Wherein, the quick inspection device combines the inspection data encrypted using the first shared key K1 and the corresponding inspection task information into a complete data package and sends it to the mobile terminal, and the mobile terminal converts the complete data The packet is encrypted using the server's RSA public key and sent to the server.

In a second aspect, the present invention provides an automatic determination and detection system for an intelligent distribution transformer, which uses the above-mentioned automatic determination and detection method for an intelligent distribution transformer and includes a server, a mobile terminal, and a quick inspection device that are sequentially communicated and connected;

The server is used to generate detection tasks according to detection requirements, send the detection tasks to the mobile terminal through VPN, and after receiving the detection data, uses a key algorithm to generate a second shared key K2 for decrypting the detection data, and sends the decrypted The detection data uses the preset transformer detection data model to determine the detection results, and is also used to generate a transformer detection report based on the detection results;

The mobile terminal is used to receive and display the detection task, send the detection task to the quick inspection device, and is also used to receive the encrypted detection data and send it to the server;

The quick inspection device is used to perform corresponding inspection tasks according to the received inspection tasks and collect inspection data. It is also used to use a key algorithm to generate a first shared key K1 for encrypting the inspection data, and the encrypted inspection device The data is sent to the mobile terminal.

In a third aspect, the present invention also provides a computer-readable medium on which a computer program is stored, wherein the steps in the above-mentioned automatic determination and detection method are implemented when the computer program is executed by a processor.

Through the method of the present invention, while ensuring the security of detection task data transmission, the terminal can access the detection project information and mark it locally, but it still cannot access the encrypted detection data. Only the quick inspection device and server can access and read the inspection data to meet the permission requirements of different devices.

The quick inspection device of the mobile distribution transformer of the present invention can carry out equipment testing work in an information external network environment, and access the information internal network through the operator's wireless VPN dedicated line. Relying on the quality supervision platform, the device can receive and execute inspection tasks in real time to ensure the smooth progress of the inspection tasks. After the test is completed, the test data will not be displayed on the terminal, but will be automatically collected to the material quality supervision platform in real time through the system background. Through the transformer inspection data model of the material quality supervision platform, the inspection results are automatically determined and the distribution transformer inspection report is intelligently generated, which realizes online control of the entire process of on-site inspection of transformers and improves the efficiency and quality of inspection work.

The mobile distribution transformer intelligent quick inspection device of the present invention can automatically receive inspection tasks in the form of "blind inspection", carry out inspection tests intelligently, and complete the automatic collection of inspection data to the material quality supervision platform. The method of the present invention further strengthens the quality control of the arrival of high-energy-efficiency distribution transformer materials, improves the fine management and professional application level of network-connected material quality data, builds a solid network-connected material quality control business chain through data means, and greatly improves the distribution transformer on-site detection business. Digitalization and intelligence level.

Description of the drawings

The above and other objects, features and advantages of exemplary embodiments of the present disclosure will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the drawings, several embodiments of the present disclosure are shown by way of illustration and not limitation, and like or corresponding reference numerals designate like or corresponding parts, wherein:

Figure 1 is a flow chart illustrating an automatic determination and detection method of a smart distribution transformer according to an embodiment of the present invention;

Figure 2 is a flow chart illustrating secure communication based on DH keys and RSA encrypted communication between servers, terminals and quick inspection devices according to an embodiment of the present invention;

FIG. 3 is a schematic diagram showing an automatic determination and detection system of an intelligent distribution transformer according to an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

The terminology used in the embodiments of the present invention is only for the purpose of describing specific embodiments and is not intended to limit the present invention. As used in this embodiment and the appended claims, the singular forms "a," "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. Usually contains at least two kinds.

It should be understood that although the terms first, second, third, etc. may be used to describe... in the embodiments of the present invention, these... should not be limited to these terms. These terms are only used to distinguish... For example, without departing from the scope of the embodiments of the present invention, the first... may also be called the second..., and similarly, the second... may also be called the first....

It should be understood that the term "and/or" used in this article is only an association relationship describing related objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, and A and A exist simultaneously. B, there are three situations of B alone. In addition, the character "/" in this article generally indicates that the related objects are an "or" relationship.

Depending on the context, the words "if" or "if" as used herein may be interpreted as "when" or "when" or "in response to determination" or "in response to detection." Similarly, depending on the context, the phrase "if determined" or "if detects (stated condition or event)" may be interpreted as "when determined" or "in response to determining" or "when (stated condition or event) is detected )” or “in response to detecting (a stated condition or event)”.

It should also be noted that the terms "comprises", "comprises" or any other variation thereof are intended to cover a non-exclusive inclusion, such that a good or apparatus including a list of elements includes not only those elements but also those not expressly listed other elements, or elements inherent to such goods or devices. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of other identical elements in the goods or devices including the stated element.

As shown in Figure 1, in order to realize the intelligent automatic judgment and detection process of the distribution transformer, the present invention can adopt the following methods:

The quality supervision platform (server) generates inspection tasks based on inspection requirements, including inspection items, test parameters and other information. The inspection requirements indicate which items and parameters need to be inspected or tested. The server sends the detection task to the mobile terminal through the operator's wireless VPN dedicated line. After receiving the detection task, the mobile terminal obtains the detection task information. The mobile terminal sends the detection task to the mobile distribution transformer intelligent quick inspection device (hereinafter referred to as the quick inspection device). The quick inspection device executes the corresponding inspection task based on the received inspection task information and collects inspection data. The inspection data is the relevant data obtained after the quick inspection device performs inspection according to the inspection task. The quick inspection device sends the inspection data to the server through the mobile terminal. After receiving the detection data, the server processes the detection data and uses the preset transformer detection data model to automatically determine the detection results. Based on the judgment results, the quality supervision platform automatically generates a distribution transformer test report, including test items, test parameters, judgment results and other information. The generated inspection report can be viewed, analyzed and made by relevant personnel to achieve online control of the entire process of on-site inspection of substation transformers. Through the above process, the automatic determination and detection process of intelligent quick inspection of mobile distribution transformers is realized, and the safe transmission of detection data and the accuracy of detection results are achieved.

In a certain embodiment, in order to verify the legitimacy of the mobile terminal and ensure safe transmission of detection data, digital certificates can be issued for the mobile terminal, and these digital certificates should be issued by a trusted Certificate Authority (CA). When establishing a VPN connection, the legitimacy of the mobile terminal is verified through client certificate authentication. Only mobile terminals holding valid digital certificates can successfully establish VPN connections and transmit data.

In a certain embodiment, a machine learning or deep learning method is used to construct a transformer detection data model. For example, support vector machine (SVM), random forest, neural network and other methods can be used for modeling. During this process, the model needs to be trained, verified, and tested to ensure the accuracy and stability of the model.

Take the random forest model as an example to determine whether the transformer is qualified based on characteristics such as no-load loss and no-load current.

The output of a random forest model is a predicted classification label (for classification problems) or a predicted value (for regression problems). In the detection of distribution transformers, judging whether a transformer is qualified based on characteristics such as no-load loss and no-load current is a binary classification problem, so the output of the random forest model will be a label representing the classification result. These labels are coded as 0 and 1 (Category 0 and Category 1), indicating unqualified and qualified respectively. When you use a random forest model to make predictions on the test set, it generates a predicted label for each sample. For example, if there are 5 test samples, the output of the random forest model may be as follows: [0, 1, 1, 0, 1] , which means that the first and fourth samples are predicted to be failed, while the second, The third and fifth samples are predicted to be qualified. Alternatively, a random forest model can also output predicted probabilities. For example, the random forest model may output the following probabilities: [ [0.7, 0.3], [0.4, 0.6], [0.35, 0.65], [0.8, 0.2], [0.45, 0.55] ], which means that the first sample has 70% The probability of the second sample is unqualified (category 0), and the probability of 30% is qualified (category 1); the second sample has a 40% probability of being unqualified, and a 60% probability of being qualified; and so on. The final predicted label can be obtained based on the predicted probability.

In a certain embodiment, the Diffie-Hellman (DH) algorithm is used to generate the second shared key K2 of the server and the first shared key K1 of the quick inspection device respectively. specific,

As shown in Figure 1, the secure communication process between the server, terminal and quick inspection device based on the DH key is as follows.

Step S1, the server selects global parameters (g, p): the server dynamically selects a pair of global parameters (g, p) based on the ID of the quick inspection device.

Step S2, the server generates a temporary DH key: the server generates a pair of temporary DH public and private keys (Server_DH_pub = A, Server_DH_priv = a), and calculates the public key A.

Step S3, the server sends global parameters and public key: the server sends the global parameters (g, p), public key A, detection task and quick detection device ID to the terminal (external network) through the operator's wireless VPN dedicated line.

Step S4, the terminal forwards the global parameters, public key and detection task: the terminal forwards the received global parameters (g, p), public key A, detection task and quick detection device ID to the quick detection device.

Step S5, the quick inspection device generates a temporary DH key: after receiving the global parameters (g, p), the quick inspection device generates a pair of temporary DH public and private keys (DH_pub = B, DH_priv = b), and calculates the public key B.

Step S6, the quick detection device sends public key B: the quick detection device sends its own public key B to the terminal, and the terminal forwards the public key B to the server.

Step S7, DH key exchange: The server and the quick inspection device perform key exchange according to the DH algorithm. The server uses its own Server_DH_priv(a) and the quick check device's DH_pub(B) to calculate the shared key K. At the same time, the quick inspection device uses its own DH_priv(b) and the server's Server_DH_pub(A) to calculate the shared key K. Eventually, both parties get the same shared key K.

In one embodiment, the server generates detection tasks and transformer detection reports, which specifically include:

In step S10, the server sends the detection task to the quick inspection device through the terminal.

Step S11: The terminal displays the details of the current detection task on the interface, and the terminal forwards the detection task to the quick inspection device.

Step S12. The quick detection device receives and executes the detection task: the quick detection device receives the detection task, performs detection according to the detection task, and encrypts the detection data in the data packet using the first shared key K1, and the data packet The detection task information in is not encrypted, and then the data packet is sent to the terminal.

Step S13, the terminal forwards the encrypted detection data: the terminal forwards the received encrypted detection data to the server, and at the same time displays the reception status of the detection data of the current detection task on the interface. Table 1 is an exemplary detection task list displayed by the terminal.

Table 1 Detection task list displayed on the terminal

In the above Table 1, the task ID, detection item, start time and end time are used to display the detailed information of the detection task. The reception status of the detection data indicates whether the terminal has received the detection data of the corresponding detection task sent by the quick detection device.

Step S14, the server decrypts the detection data: the server uses the second shared key K2 to decrypt the received encrypted detection data. After decryption, the server can obtain the original detection data and generate a distribution transformer detection report based on the results.

In the present invention, the shared key K generated using the DH algorithm can ensure the security of communication between the server and the quick inspection device, simplify key management, and improve the flexibility and scalability of the system.

In a certain embodiment, the generation and exchange process of the first shared key K1 and the second shared key K2 includes the following steps:

Step p1, initialization phase, the server generates a global parameter set, including multiple pairs of g and p. In each pair of g and p, p is a large prime number and g is the generator of p.

In step p2, the server generates a temporary key. When the server needs to issue a detection task, the server first selects a pair of g and p based on the ID of the quick detection device that performs the task. Then, the server generates a first temporary private key (a) for each task and calculates the corresponding server public key A = g^a mod p. Here a is an integer randomly generated by the server for each task, 1<a<p-1.

In this embodiment, a pair of g and p can be selected by calculating the hash value of the quick inspection device ID modulo the size of the global parameter set. The server then generates a first temporary private key (a) for each task and calculates the corresponding public key A = g^a mod p. Suppose there is a global parameter set, including three pairs of g and p: g1, p1, g2, p2, g3, p3. When a quick check device ID is received, for example ID="device123", a hash function (such as SHA-256) is first used to calculate the hash value of the ID. For example, the calculation result is hash_value. Then convert the hash value to an integer. You can think of hash_value as a large integer, or extract an integer from the hash value in some way, such as computing modulo arithmetic. Taking modulo calculations as an example, use this integer modulo the size of the global parameter set. The size of the set of global parameters g and p is 3, so the calculation index = integer_value % 3. Finally, a pair of global parameters g and p are selected based on the calculated index value index. For example, if index = 0, select g1 and p1, if index = 1, select g2 and p2, if index = 2, select g3 and p3. This method allows different quick inspection devices to use different global parameters g and p, thereby improving the complexity and security of encryption.

Step p3, task issuance and key exchange, the server sends the detection task information, server public key A, selected global parameters g, p and quick inspection device ID to the terminal. After receiving it, the mobile terminal displays the detection task information to the user, and forwards the detection task information, the server public key A, the selected global parameters g, p and to the quick inspection device Quick inspection device corresponding to the ID.

Step p4, the quick inspection device generates a temporary key. After receiving the task information, server public key A, and selected global parameters g and p, the quick inspection device generates a second temporary private key (b) for the current task and calculates The corresponding public key B of the rapid inspection device = g^bmod p, and then the public key B of the rapid inspection device is sent to the terminal. b here is an integer randomly generated by the quick inspection device for the current task, 1<b<p-1.

Step p5, calculate the first shared key K1. The quick inspection device uses the server public key A and its own private key b to calculate the shared key K1 = A^b mod p. Similarly, the server uses the quick check device public key B and its own first temporary private key a to calculate the second shared key K2 = B^a mod p.

Step p6: Data encryption and decryption. The quick detection device performs detection according to the task. After the detection is completed, the first shared key K1 is used to encrypt the detection data. The encrypted detection data is sent to the server through the terminal. After receiving the encrypted data, the server uses the second shared key K2 to decrypt the detection data.

In the above process, the server generates the first temporary private key a and the corresponding server public key A, and sends the task information, server public key A, global parameters g, p and quick inspection device ID to the terminal. The terminal forwards the task information, server public key A, global parameters g, p and quick inspection device ID to the quick inspection device. The quick inspection device generates the second temporary private key b and the corresponding quick inspection device public key B, and then sends the quick inspection device public key B to the terminal. The terminal sends the public key B of the quick inspection device to the server. In this way, the server and the quick detection device can respectively use the received public key (server public key A and quick detection device public key B) and their own private keys (the first temporary private key a and the second temporary private key b) to calculate The same shared key K (first shared key K1 and second shared key K2). In this process, the terminal plays the role of an intermediary, but the terminal cannot calculate the shared key K because there is no information about the first temporary private key a or the second temporary private key b in the terminal. This ensures that the terminal cannot view and modify the detection data, ensuring the accuracy and security of the detection data during the blind inspection process.

In one embodiment, the RSA encryption algorithm is also used for communication security between the server and the terminal.

As shown in Figure 2, the secure communication process between the server, terminal and quick inspection device based on DH key and RSA encrypted communication is as follows.

Step k1: The server (intranet) generates an RSA key pair, including a public key and a private key. The server holds the private key, which is used for signature detection tasks. The server sends the RSA public key to the terminal.

Step k2: The server selects the global parameters (g, p) and generates the first temporary private key (a) and the corresponding server public key A, and the server determines the detection task.

Step k3: The server uses the RSA private key to sign the detection task, and then sends the signed detection task, server public key A, and global parameters (g, p) to the terminal (external network) through the operator's wireless VPN dedicated line.

Step k4: The terminal uses the server's RSA public key to verify the signature of the detection task, and displays the detection task information that passes the verification. The terminal forwards the verified detection task, server public key A, and global parameters (g, p) to the quick inspection device.

In step k5, the quick inspection device receives the detection task, server public key A and global parameters (g, p), and generates the second temporary private key (b) and the corresponding quick inspection device public key B. The first shared key DH_Key1 is calculated using the server public key A and the second temporary private key b.

In step k6, the quick detection device performs detection according to the detection task and uses DH_Key1 to encrypt the detection data.

In step k7, the quick inspection device combines the inspection data encrypted using DH_Key1 and the corresponding inspection task information into a complete data package, and sends the entire data package to the terminal.

For example, the data packet structure of the quick inspection device combination is:

The data packet includes data packet header, data packet body and detection data (encrypted using DH_Key1). The data packet header includes data packet type, detection item, quick detection device information, detection task information and other attribute information (such as timestamp, data packet length, etc.).

Step k8: After receiving the data packet, the terminal obtains the encrypted DH_Key1 encrypted detection data and corresponding detection task information. The terminal displays the received detection task information.

Step k9: The terminal encrypts the data packet using the server's RSA public key, and then sends the encrypted data packet (the original data packet of the quick detection device contains DH_Key1 encrypted detection data and corresponding detection task information) to the server.

In step k10, the server uses the RSA private key to decrypt the detection task information and obtain the detection task content. The server uses the public key B of the quick detection device and the first temporary private key a to calculate the second shared key DH_Key2, uses DH_Key2 to decrypt the detection data, and obtains the original detection data.

Throughout the process, the server's RSA private key is used to sign detection tasks and decrypt encrypted data packets received from the terminal; the server's RSA public key is used to verify detection task signatures and encrypt data packets sent to the server. This ensures the safety and confidentiality of the entire intelligent quick inspection link of mobile distribution transformers.

Through the above method disclosed in the present invention, while ensuring the security of detection task data transmission, the terminal can access the detection item information and mark it locally, but still cannot access the encrypted detection data. Only the quick detection device and the server can access and read Obtain detection data to meet the permission requirements of different devices.

As shown in Figure 3, the present invention provides an automatic judgment and detection system for intelligent distribution transformers, including a server, a mobile terminal, and a quick inspection device that are communicated and connected in sequence;

The server is used to generate detection tasks according to detection requirements, and sends the detection tasks to the mobile terminal through VPN. After receiving the detection data, it uses the Diffie-Hellman algorithm to generate the second shared key K2 for decrypting the detection data, and sends the decrypted The detection data uses the preset transformer detection data model to determine the detection results, and is also used to generate a transformer detection report based on the detection results;

The mobile terminal is used to receive and display the detection task, send the detection task to the quick inspection device, and is also used to receive the encrypted detection data and send it to the server;

The quick inspection device is used to perform corresponding inspection tasks according to the received inspection tasks and collect inspection data. It is also used to use the Diffie-Hellman algorithm to generate the first shared key K1 for encrypting the inspection data, and encrypted The detection data is sent to the mobile terminal.

The present invention provides a computer-readable medium on which a computer program is stored, wherein when the computer program is executed by a processor, the steps in the above-mentioned automatic determination and detection method are implemented.

It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples of computer readable storage media may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard drive, random access memory (RAM), read only memory (ROM), removable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device . Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wire, optical fiber cable, RF (radio frequency), etc., or any suitable combination of the foregoing.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; it may also exist independently without being assembled into the electronic device.

Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional Procedural programming language—such as "C" or a similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In situations involving remote computers, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as an Internet service provider through Internet connection).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, segment, or portion of code that contains one or more logic functions that implement the specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown one after another may actually execute substantially in parallel, or they may sometimes execute in the reverse order, depending on the functionality involved. It will also be noted that each block of the block diagram and/or flowchart illustration, and combinations of blocks in the block diagram and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or operations. , or can be implemented using a combination of specialized hardware and computer instructions.

The units involved in the embodiments of the present disclosure can be implemented in software or hardware. Among them, the name of a unit does not constitute a limitation on the unit itself under certain circumstances.

The above describes the preferred embodiments of the present invention, which are intended to make the spirit of the present invention clearer and easier to understand. They are not intended to limit the present invention. All modifications, substitutions, and improvements can be made within the spirit and principles of the present invention. , should be included in the scope of protection summarized by the appended claims of the present invention.

Claims (10)

1. An automatic judging and detecting method for an intelligent distribution transformer, which is characterized by comprising the following steps:

the server generates a detection task according to the detection requirement and sends the detection task to the mobile terminal;

after receiving and displaying the detection task, the mobile terminal sends the detection task to a quick detection device;

the quick detection device executes a corresponding detection task according to the received detection task and collects detection data;

the quick checking device generates a first shared key K1 for encrypting the detection data by using a key algorithm, and sends the encrypted detection data to the server through the mobile terminal;

after receiving the detection data, the server generates a second shared key K2 for decrypting the detection data by using a key algorithm, and judges the detection result of the decrypted detection data by using a preset transformer detection data model;

and generating a transformer detection report by the server according to the detection result.

2. The automatic decision detection method of an intelligent distribution transformer according to claim 1, wherein the transformer detection data model is constructed by using a machine learning or deep learning method.

3. An automatic decision detection method for an intelligent distribution transformer as recited in claim 1, wherein,

the mobile terminal displays a task ID, a detection item, a start time and an end time, and is used for displaying detailed information of the detection task;

and displaying the receiving condition of the detection data, and indicating whether the mobile terminal receives the detection data of the corresponding detection task sent by the quick detection device.

4. The automatic decision detection method of intelligent distribution transformer according to claim 1, wherein when the server generates the detection task according to the detection requirement, further comprising:

the method comprises the steps that a server generates a global parameter set which comprises a plurality of pairs of global parameters g and p, wherein p in each pair of global parameters g and p is a large prime number, g is a generator of p, when the server needs to issue a detection task, the server selects one pair of global parameters g and p according to the ID of a quick detection device executing the detection task, and generates a first temporary private key a and a corresponding server public key A based on the selected pair of global parameters g and p.

5. An automatic decision detection method for an intelligent distribution transformer as recited in claim 4, wherein,

the server sends detection task information, a server public key A, selected global parameters g and p and a quick detection device ID to the mobile terminal;

and after the mobile terminal receives the detection task information, displaying the detection task information to a user, and forwarding the detection task information, the server public key A, the selected global parameters g and p and the quick detection device ID to a quick detection device corresponding to the quick detection device ID.

6. An automatic decision detection method for an intelligent distribution transformer as recited in claim 5, wherein,

the quick checking device generates a second temporary private key B and a corresponding quick checking device public key B based on global parameters g and p, obtains a first shared key K1 according to the second temporary private key B and a server public key A, simultaneously executes detection according to the detection task, encrypts detection data by using the first shared key K1 after detection is completed, sends the encrypted detection data and the quick checking device public key B to the server through the mobile terminal, obtains a second shared key K2 by the first temporary private key a and the quick checking device public key B after the server receives the encrypted detection data, and decrypts the detection data by using the second shared key K2.

7. The automatic decision detection method of an intelligent distribution transformer according to claim 1, wherein the method further comprises:

an RSA encryption algorithm is used for communication security between the server and the mobile terminal.

8. An automatic decision detection method for an intelligent distribution transformer as recited in claim 7, wherein,

the server generates an RSA key pair, wherein the RSA key pair comprises a public key and a private key, the server holds the private key for signature detection tasks, and the server sends the RSA public key to the mobile terminal.

9. An automatic decision detection method for an intelligent distribution transformer as recited in claim 8, wherein,

the quick detection device combines the detection data encrypted by using the first shared key K1 and the corresponding detection task information into a complete data packet and sends the complete data packet to the mobile terminal, and the mobile terminal encrypts the complete data packet by using an RSA public key of a server and sends the encrypted complete data packet to the server.

10. An automatic judging and detecting system of an intelligent distribution transformer, characterized in that an automatic judging and detecting method of an intelligent distribution transformer according to any one of claims 1-9 is used, and the automatic judging and detecting system comprises a server, a mobile terminal and a quick detecting device which are connected in sequence in communication;

the server is used for generating a detection task according to the detection requirement, sending the detection task to the mobile terminal, generating a second shared key K2 for decrypting the detection data by using a key algorithm after receiving the detection data, judging a detection result of the decrypted detection data by using a preset transformer detection data model, and generating a transformer detection report according to the detection result;

the mobile terminal is used for receiving and displaying the detection task, then sending the detection task to the quick detection device, and receiving the encrypted detection data and sending the encrypted detection data to the server;

the quick detection device is used for executing corresponding detection tasks according to the received detection tasks, collecting detection data, generating a first shared key K1 for encrypting the detection data by using a key algorithm, and sending the encrypted detection data to the mobile terminal.