A distribution network station area intelligent device authentication method and configuration terminal

Abstract

The application discloses a kind of distribution network area intelligent equipment authentication method and configuration terminal, and the target signal and authentication signal are calculated according to the management password of distribution network area intelligent equipment, area number, distribution transformer noise when registering, play authentication signal and collect the mixed signal containing authentication signal and distribution transformer noise, the difference between mixed signal and target signal is calculated as registration information;When authentication, obtain the area number of distribution network area, play authentication signal and collect the mixed signal containing authentication signal and distribution transformer noise, use registration information to correct mixed signal, obtain area number and management password according to distribution transformer noise and corrected mixed signal, and then use management password to log in the intelligent equipment of the distribution network area to be authenticated for operation and maintenance work if the area number is consistent with the area number of the distribution network area to be authenticated.The application can provide a universal, convenient and efficient solution for the legality verification of distribution network area intelligent equipment in complex power environment.

Description

Technical Field

[0001] This invention relates to smart grid technology, specifically to a method for authenticating smart devices in distribution network areas and a configuration terminal. Background Technology

[0002] The construction of smart grids is a key strategic deployment in my country's new power system development, with its core being the transformation of the power infrastructure production model. As a crucial component of the smart grid, distribution network intelligence is particularly important, with the Internet of Things (IoT) becoming a vital means to accelerate this process. However, due to the widespread reach, comprehensive sensing, reliable transmission, and intelligent processing characteristics of IoT networks, distribution network smart devices face more severe security challenges. Ensuring the security of distribution network smart devices requires, as a fundamental mechanism, the verification of device legitimacy to confirm the identity of distribution IoT entities and control their access permissions. Therefore, in the development of smart grids, effectively verifying the legitimacy of configuration terminals has become an urgent problem to be solved, directly impacting the security and reliability of distribution network intelligence. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method for authenticating intelligent devices in distribution network areas and a configuration terminal, which can provide a universal, convenient and efficient solution for the legality verification of intelligent devices in distribution network areas in complex power environments.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0005] A method for authenticating intelligent devices in a distribution network area, applied to a configuration terminal, includes the following steps:

[0006] Obtain the first management password and the corresponding first distribution area number of the intelligent devices in the distribution network area;

[0007] The noise of the first distribution transformer in the distribution network area is collected. The target signal is calculated based on the first management password, the first distribution area number and the noise of the first distribution transformer. The noise is then subtracted from the target signal to obtain the authentication signal.

[0008] Play the authentication signal and acquire a first mixed signal containing the played authentication signal and the noise of the first distribution transformer. Calculate the difference between the first mixed signal and the target signal and use it as registration information.

[0009] Obtain the distribution network area number of the area to be authenticated;

[0010] Play the authentication signal and acquire a second mixed signal containing the played authentication signal and the noise of the second distribution transformer in the distribution network area to be authenticated, and correct the second mixed signal using registration information;

[0011] The noise of the second distribution transformer in the distribution network area to be certified is collected. The second distribution area number and the second management password are calculated based on the corrected second mixed signal and the second distribution transformer noise. If the second distribution area number is consistent with the distribution network area number to be certified, the second management password is used to log in to the intelligent equipment in the distribution network area to be certified for operation and maintenance.

[0012] Furthermore, when calculating the target signal based on the first management password, the first transformer area number, and the noise of the first distribution transformer, the following steps are included:

[0013] Convert the first management password and the first station area number into their corresponding encoded sequences, and obtain the length of the encoded sequence of the converted first management password. The length of the encoded sequence of the first station area number ;

[0014] The noise from the first distribution transformer is subjected to a single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence. and high-frequency coefficient sequences In descending order, starting with the low-frequency coefficient sequence Before selection The selected coefficients are updated according to the corresponding values ​​in the encoded sequence of the first management password, resulting in a modified low-frequency coefficient sequence. At the same time, in descending order, from the high-frequency coefficient sequence Before selection The selected coefficients are updated according to the corresponding values ​​in the encoding sequence of the first transformer area number, resulting in the modified high-frequency coefficient sequence. ;

[0015] For the modified low-frequency coefficient sequence and high-frequency coefficient sequences The target signal is obtained by performing an inverse single-scale wavelet transform.

[0016] Furthermore, the modified low-frequency coefficient sequence With the modified high-frequency coefficient sequence The expression is as follows:

[0017]

[0018]

[0019] in, Represents the modified low-frequency coefficient sequence The j-th coefficient, Represents low-frequency coefficient sequence The Middle Large coefficients, This represents the value of the j-th code in the encoded sequence of the first management password. Represents the modified low-frequency coefficient sequence The j-th coefficient, Represents low-frequency coefficient sequence The Middle Large coefficients, This represents the value of the j-th code in the encoded sequence of the first unit area number. For embedding coefficients.

[0020] Furthermore, when calculating the difference between the first mixed signal and the target signal and using it as registration information, the specific steps include:

[0021] The current first mixed signal is acquired and a single-scale wavelet transform is performed to obtain the corresponding low-frequency coefficient sequence and high-frequency coefficient sequence. The difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal is calculated, and the difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal is also calculated.

[0022] Repeat the previous step until the required number of repetitions is met;

[0023] Calculate the average difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal for each iteration. And calculate the average difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal for each iteration. and average and Saved locally as registration information.

[0024] Furthermore, when using registration information to correct the second mixed signal, the specific steps include:

[0025] The second mixed signal is acquired and subjected to single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence and high-frequency coefficient sequence.

[0026] average The low-frequency coefficient sequence of the second mixed signal is combined with the low-frequency coefficient sequence of the second mixed signal to obtain the corrected low-frequency coefficient sequence of the second mixed signal, and the average value is then calculated. The high-frequency coefficient sequence of the second mixed signal is combined with the high-frequency coefficient sequence of the second mixed signal to obtain the high-frequency coefficient sequence of the second mixed signal after correction.

[0027] Furthermore, when calculating the second transformer substation number and the second management password based on the corrected second mixed signal and the second distribution transformer noise, the specific steps include:

[0028] The noise of the second distribution transformer is subjected to single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence and high-frequency coefficient sequence.

[0029] Select the first low-frequency coefficient sequence of the noise from the second distribution transformer in descending order. A set of coefficients are used, and based on the difference between the selected coefficients and the corresponding coefficients in the low-frequency coefficient sequence after the second mixed signal correction, the corresponding values ​​in the encoded sequence of the second management password are restored. Indicates the length of the encoded sequence of the first management password;

[0030] Select the first high-frequency coefficient sequence of the noise from the second distribution transformer in descending order. Each coefficient is used, and based on the difference between the selected coefficient and the corresponding coefficient in the high-frequency coefficient sequence after the second mixed signal correction, the corresponding value in the encoded sequence of the second substation number is restored. This indicates the length of the encoded sequence of the first station area number.

[0031] Furthermore, when restoring the corresponding value in the encoded sequence of the second management password and the corresponding value in the encoded sequence of the second station area number, the expressions are as follows:

[0032]

[0033]

[0034] in, This represents the value of the j-th code in the encoded sequence of the second management password. This represents the j-th coefficient in the low-frequency coefficient sequence after the second mixed signal correction. The low-frequency coefficient sequence representing the noise of the second distribution transformer is shown in the figure. Large coefficients, This represents the value of the j-th code in the encoded sequence of the second station area number. This represents the j-th coefficient in the high-frequency coefficient sequence after the second mixed signal correction. The high-frequency coefficient sequence representing the noise of the second distribution transformer is shown in the figure. Large coefficients.

[0035] The present invention also proposes a distribution network transformer area intelligent device authentication system, including a configuration terminal, which is programmed or configured to perform any of the distribution network transformer area intelligent device authentication methods described in the present invention.

[0036] The present invention also proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the intelligent device authentication method for distribution network areas as described in any one of the claims.

[0037] The present invention also proposes a computer program product, including a computer program that, when executed by a processor, implements the steps of the intelligent device authentication method for distribution network areas as described in any one of the claims.

[0038] Compared with the prior art, the advantages of the present invention are as follows:

[0039] (1) The present invention can capture the noise information characteristics of the distribution transformer in the distribution network area and also capture the acoustic response curve characteristics of the configuration terminal. It can bind the relationship between the configuration terminal and the corresponding distribution network area without introducing additional hardware, thus avoiding unauthorized configuration terminals from performing operation and maintenance on the intelligent equipment in the distribution network area.

[0040] (2) This invention can embed the management password of the intelligent device in the distribution network area into the authentication signal, so that users can obtain the management password of the intelligent device in the distribution network area even in environments with limited network signals. At the same time, since the extraction of the management password requires the noise information of the distribution transformer, the security of the management password will not be affected even if the authentication signal is stolen. Attached Figure Description

[0041] Figure 1 This is a flowchart of a method according to an embodiment of the present invention. Detailed Implementation

[0042] The present invention will be further described below with reference to the accompanying drawings and specific preferred embodiments, but this does not limit the scope of protection of the present invention.

[0043] Before introducing specific embodiments of the present invention, the relevant concepts or terms will be explained.

[0044] Configuration terminals play a crucial role in smart grids. They are responsible for status acquisition, information uploading, receiving control commands, and performing operations such as opening and closing primary equipment. They mainly include smart terminals and merging units (MUs).

[0045] Example 1

[0046] To address the security threats posed by the lack of legitimacy verification for existing intelligent distribution network devices, this embodiment proposes an authentication method for intelligent distribution network devices. Applied to configuration terminals, this method provides a secure and convenient authentication approach for intelligent distribution network devices and can be integrated with distribution network security work procedures. Figure 1 As shown, it includes the following two stages:

[0047] S1) Registration phase, specifically including the following steps:

[0048] S101) Obtain the management password (referred to as the first management password in this embodiment for distinction) and the corresponding distribution area number (referred to as the first distribution area number in this embodiment for distinction) of the intelligent device in the distribution network area.

[0049] S102) Configure the terminal to collect noise and generate an authentication signal: Collect the noise of the distribution transformer in the distribution network area (referred to as the first distribution transformer noise in this embodiment for distinction), calculate the target signal based on the first management password, the first distribution area number and the first distribution transformer noise, and subtract the noise from the target signal to obtain the authentication signal;

[0050] S103) Play the authentication signal and calculate the difference, and save the registration information: Play the authentication signal and collect a mixed signal containing the played authentication signal and the noise of the first distribution transformer (referred to as the first mixed signal in this embodiment for distinction), calculate the difference between the first mixed signal and the target signal and use it as the registration information;

[0051] The S2 certification phase includes the following steps:

[0052] S201) Obtain the distribution network area number of the distribution network area to be authenticated;

[0053] S202) Configure the terminal to place and play the authentication signal: Play the authentication signal and collect a mixed signal (referred to as the second mixed signal in this embodiment for differentiation) containing the played authentication signal and the noise of the distribution transformer in the distribution network area to be authenticated (referred to as the second distribution transformer noise in this embodiment for differentiation), and use the registration information to correct the second mixed signal;

[0054] S203) Extract and verify the management password and distribution area number: Collect the noise of the second distribution transformer of the distribution network area to be certified, and calculate the distribution area number (referred to as the second distribution area number in this embodiment for distinction) and management password (referred to as the second management password in this embodiment for distinction) based on the corrected second mixed signal and the second distribution transformer noise. If the second distribution area number is consistent with the distribution area number of the distribution network area to be certified, then use the second management password to log in to the intelligent device of the distribution network area to be certified for operation and maintenance work.

[0055] The following is a detailed explanation of each step.

[0056] In step S101 of this embodiment, when obtaining the first management password and the corresponding first distribution area number of the intelligent device in the distribution network area, the management password of the intelligent device in the distribution network area is specifically obtained from the authentication server or by user input. and corresponding station area number If the mobile network in the distribution network area is in good condition, then the management password for the device can be obtained from the main station. and corresponding station area number If the transformer substation cannot connect to the mobile network, the user can manually enter the corresponding management password for the device. and corresponding station area number .

[0057] In this embodiment, the configuration terminal is equipped with a microphone and a speaker. In step S102, when collecting the noise of the first distribution transformer in the distribution network area, the configuration terminal is placed near the distribution transformer in the area, so that the microphone of the configuration terminal can simultaneously collect the noise of the distribution transformer and the sound signal from the speaker of the configuration terminal. Typically, the intelligent devices in the distribution network area and the distribution transformer are arranged together, and the configuration terminal only needs to be placed in a suitable location in the distribution network area.

[0058] In step S102 of this embodiment, when the target signal is calculated based on the first management password, the first transformer area number, and the noise of the first distribution transformer, the following steps are included:

[0059] S1021) First management password and the first station area number They are encoded into binary form and converted into corresponding encoded sequences. and And obtain the encoded sequence of the converted first management password. length The coding sequence of the first station area number length ;

[0060] S1022) Perform a single-scale wavelet transform on the noise of the first distribution transformer to obtain the corresponding low-frequency coefficient sequence. and high-frequency coefficient sequences In descending order, starting with the low-frequency coefficient sequence Before selection The selected coefficients are updated according to the corresponding values ​​in the encoded sequence of the first management password, resulting in a modified low-frequency coefficient sequence. At the same time, in descending order, from the high-frequency coefficient sequence Before selection The selected coefficients are updated according to the corresponding values ​​in the encoding sequence of the first transformer area number, resulting in the modified high-frequency coefficient sequence. Modified low-frequency coefficient sequence With the modified high-frequency coefficient sequence The expression is as follows:

[0061]

[0062]

[0063] in, Represents the modified low-frequency coefficient sequence The j-th coefficient, Represents low-frequency coefficient sequence The Middle Large coefficients, This represents the value of the j-th code in the encoded sequence of the first management password. Represents the modified low-frequency coefficient sequence The j-th coefficient, Represents low-frequency coefficient sequence The Middle Large coefficients, This represents the value of the j-th code in the encoded sequence of the first unit area number. These are the embedding coefficients;

[0064] S1023) on the modified low-frequency coefficient sequence and high-frequency coefficient sequences The target signal is obtained by performing an inverse single-scale wavelet transform.

[0065] Following this, in step S102, the target signal is subtracted from the noise of the first distribution transformer in the time domain to obtain the authentication signal, as shown in the following expression:

[0066]

[0067] in, Indicates the target signal. This indicates the noise level of the first distribution transformer. This indicates an authentication signal.

[0068] In summary, this embodiment, through step S102, uses a configuration terminal to collect noise data from a distribution transformer. Calculate the authentication signal The target signal is the result of the time-domain superposition of the authentication signal and the distribution transformer noise. After single-scale wavelet transform, its low-frequency coefficients can be obtained. Extract the management password of the intelligent device in the distribution network area. High frequency coefficient Extract the distribution network area number information .

[0069] In step S103 of this embodiment, the first mixed signal is marked as Play the authentication signal obtained in step S102 on the configuration terminal. Then, the microphone of the configured terminal is used to collect signals that include authentication signals. and noise signals Mixed signals Because the speakers and microphones of the configuration equipment have unique acoustic response curve characteristics, the target signal and mixed signals There must be differences between them.

[0070] Therefore, calculating the difference between the first mixed signal and the target signal and using it as registration information specifically includes:

[0071] S1031) Obtain the current first mixed signal and perform a single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence. and high-frequency coefficient sequences Calculate the low-frequency coefficient sequence of the first mixed signal. The difference between the low-frequency coefficient sequence of the target signal and the high-frequency coefficient sequence of the first mixed signal is calculated. The difference between the high-frequency coefficient sequence of the target signal and the target signal is expressed as follows:

[0072]

[0073]

[0074] in, Let be the difference between the i-th coefficient of the low-frequency coefficient sequence of the target signal and the i-th coefficient of the low-frequency coefficient sequence of the first mixed signal. Let be the difference between the i-th coefficient of the high-frequency coefficient sequence of the target signal and the i-th coefficient of the high-frequency coefficient sequence of the first mixed signal. and These are the i-th coefficients of the low-frequency coefficient sequence and the high-frequency coefficient sequence of the first mixed signal, respectively. and These are the i-th coefficients of the low-frequency coefficient sequence and the high-frequency coefficient sequence of the target signal, respectively. The length of the low-frequency coefficient sequence of the target signal. The length of the high-frequency coefficient sequence of the target signal;

[0075] S1032) Repeat step S1031 until the required number of repetitions is met, and obtain the difference between multiple low-frequency coefficient sequences. and the difference between multiple high-frequency coefficient sequences Calculate the difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal in each iteration. average And calculate the difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal in each step. average and average and Saved locally as registration information.

[0076] Specifically, assuming step S1031 is repeated N times, then the average value... and for:

[0077]

[0078]

[0079] in, This represents the difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal. The average value of the i-th coefficient, This represents the difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal. The average value of the i-th coefficient, This represents the difference between the i-th coefficient of the low-frequency coefficient sequence of the first mixed signal in the k-th iteration and the i-th coefficient of the low-frequency coefficient sequence of the target signal. This represents the difference between the i-th coefficient of the high-frequency coefficient sequence of the first mixed signal in the k-th iteration and the i-th coefficient of the high-frequency coefficient sequence of the target signal.

[0080] In step S1032 of this embodiment, the average value is... and When storing it locally as registration information, specifically the distribution network area number... That is, the first station area number and authentication signal. The difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal. average The difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal. average The information is stored locally on the configuration terminal as registration information. During storage, standard symmetric encryption algorithms, such as AES, can be used to verify the first area code and authentication signal. ,average value and After encryption, the data is saved locally in the configuration terminal.

[0081] In step S201 of this embodiment, when obtaining the distribution network area number to be authenticated, the specific steps are to enter the maintenance work ticket information into the system and obtain the distribution network area number for this operation. After a user enters maintenance work order information into the system, the distribution network area number for this operation can be automatically retrieved from the work order. .

[0082] In step S202 of this embodiment, before playing the authentication signal, the configuration terminal also needs to be placed near the distribution transformer in the distribution network area to be authenticated, so that the microphone of the configuration terminal can simultaneously collect the noise from the distribution transformer and the sound signal from the speaker of the configuration terminal. Typically, the smart devices in the distribution network area are arranged together with the distribution transformer, and only need to be placed in a suitable location within the distribution network area.

[0083] In step S202 of this embodiment, when playing the authentication signal and acquiring the mixed signal containing the played authentication signal and the noise of the second distribution transformer in the distribution network area to be authenticated, specifically, the authentication signal saved during the registration phase is played. Then the authentication signal is collected by the configuration terminal. The sound signal after mixing with the noise of the second distribution transformer .

[0084] In step S202 of this embodiment, when using registration information to correct the second mixed signal, specifically the sound signal... The low-frequency coefficients are obtained by performing a single-scale wavelet transform. and high frequency coefficients The average difference saved during the registration phase and With the obtained low-frequency coefficients and high frequency coefficients The combined result yields the corrected low-frequency coefficients. and the corrected high-frequency coefficients Specifically, it includes:

[0085] S2021) Obtain the second mixed signal A single-scale wavelet transform is then performed to obtain the corresponding low-frequency coefficient sequence. and high-frequency coefficient sequences ;

[0086] S2022) will average Low-frequency coefficient sequence with the second mixed signal By merging, we obtain the low-frequency coefficient sequence after the second mixed signal correction. and average High-frequency coefficient sequence with the second mixed signal By merging, we obtain the high-frequency coefficient sequence after the second mixed signal correction. The expression is as follows:

[0087]

[0088]

[0089] in, This represents the i-th coefficient in the low-frequency coefficient sequence after the second mixed signal correction. This represents the i-th coefficient in the high-frequency coefficient sequence after the second mixed signal correction. This represents the i-th coefficient in the frequency coefficient sequence of the second mixed signal. This represents the i-th coefficient in the high-frequency coefficient sequence of the second mixed signal. This represents the difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal. The average value of the i-th coefficient, This represents the difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal. The average value of the i-th coefficient.

[0090] In step S203 of this embodiment, the configuration terminal collects the noise of a distribution transformer. That is, the noise from the second distribution transformer, which will be the collected noise signal. Perform a single-scale wavelet transform to obtain the corresponding low-frequency coefficients. and high frequency coefficient Combined with the corrected low-frequency coefficient With high frequency coefficient Extract the management password of the intelligent equipment in the distribution network area. Distribution network area numbering information The distribution network area number corresponding to this operation The comparison is performed; if they match, the management password is used. When logging into the intelligent equipment of the distribution network area for user operation and maintenance, the calculation of the second distribution area number and the second management password based on the corrected second mixed signal and the second distribution transformer noise specifically includes:

[0091] S2031) Noise from the second distribution transformer Perform a single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence. and high-frequency coefficient sequences ;

[0092] (S2032) Select the low-frequency coefficient sequence of the noise of the second distribution transformer in descending order. forward A set of coefficients, and based on the selected coefficients and the low-frequency coefficient sequence corrected by the second mixed signal. By analyzing the difference in the corresponding coefficients, the encoded sequence of the second management password can be reconstructed. The corresponding value in Indicates the length of the encoded sequence of the first management password;

[0093] Similarly, the high-frequency coefficient sequence of the noise of the second distribution transformer is selected in descending order. forward A set of coefficients, and based on the selected coefficients and the high-frequency coefficient sequence corrected by the second mixed signal. By analyzing the difference in the corresponding coefficients, the encoding sequence of the second transformer area number can be reconstructed. The corresponding value in This indicates the length of the encoded sequence of the first station area number.

[0094] In this embodiment, the encoded sequence of the second management password is restored. The corresponding value, and the encoding sequence for restoring the second station area number. When the corresponding value is in the expression, the expression is as follows:

[0095]

[0096]

[0097] in, This represents the value of the j-th code in the encoded sequence of the second management password. This represents the j-th coefficient in the low-frequency coefficient sequence after the second mixed signal correction. The low-frequency coefficient sequence representing the noise of the second distribution transformer is shown in the figure. Large coefficients, This represents the value of the j-th code in the encoded sequence of the second station area number. This represents the j-th coefficient in the high-frequency coefficient sequence after the second mixed signal correction. The high-frequency coefficient sequence representing the noise of the second distribution transformer is shown in the figure. Large coefficients.

[0098] The encoded sequence of the restored second management password can be seen. and the coding sequence of the second station area number All are binary sequences, based on the restored... and You can obtain the second management password for the intelligent devices in the distribution network area. Information on the second transformer substation number of the distribution network area Then verify the second station area number information. If the workstation area number obtained in step S201 matches, then the restored second management password is used. Log in to the smart devices in the distribution network area to enable user operation and maintenance.

[0099] Example 2

[0100] This embodiment proposes a smart device authentication system for distribution network areas, including a configuration terminal, which is programmed or configured to execute the smart device authentication method for distribution network areas described in Embodiment 1.

[0101] This embodiment also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the intelligent device authentication method for distribution network areas described in Embodiment 1.

[0102] This embodiment also proposes a computer program product, including a computer program that, when executed by a processor, implements the steps of the intelligent device authentication method for distribution network areas described in Embodiment 1.

[0103] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for authenticating intelligent devices in a distribution network area, applied to a configuration terminal, characterized in that, Includes the following steps: Obtain the first management password and the corresponding first distribution area number of the intelligent devices in the distribution network area; The noise of the first distribution transformer in the distribution network area is collected. A target signal is calculated based on the first management password, the first distribution area number, and the noise of the first distribution transformer. The noise is then subtracted from the target signal to obtain the authentication signal. The calculation of the target signal based on the first management password, the first distribution area number, and the noise of the first distribution transformer includes the following steps: Convert the first management password and the first station area number into their corresponding encoded sequences, and obtain the length of the encoded sequence of the converted first management password. The length of the encoded sequence of the first station area number ; The noise from the first distribution transformer is subjected to a single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence. and high-frequency coefficient sequences In descending order, starting with the low-frequency coefficient sequence Before selection The selected coefficients are updated according to the corresponding values ​​in the encoded sequence of the first management password, resulting in a modified low-frequency coefficient sequence. At the same time, in descending order, from the high-frequency coefficient sequence Before selection The selected coefficients are updated according to the corresponding values ​​in the encoding sequence of the first transformer area number, resulting in the modified high-frequency coefficient sequence. ; For the modified low-frequency coefficient sequence and high-frequency coefficient sequences The target signal is obtained by performing an inverse single-scale wavelet transform. Play the authentication signal and acquire a first mixed signal containing the played authentication signal and the noise of the first distribution transformer. Calculate the difference between the first mixed signal and the target signal and use it as registration information. Obtain the distribution network area number of the area to be authenticated; Play the authentication signal and acquire a second mixed signal containing the played authentication signal and the noise of the second distribution transformer in the distribution network area to be authenticated, and correct the second mixed signal using registration information; The noise of the second distribution transformer in the distribution network area to be certified is collected. The second distribution area number and the second management password are calculated based on the corrected second mixed signal and the second distribution transformer noise. If the second distribution area number is consistent with the distribution network area number to be certified, the second management password is used to log in to the intelligent equipment in the distribution network area to be certified for operation and maintenance.

2. The intelligent device authentication method for distribution network areas according to claim 1, characterized in that, Modified low-frequency coefficient sequence With the modified high-frequency coefficient sequence The expression is as follows: in, Represents the modified low-frequency coefficient sequence The j-th coefficient, Represents low-frequency coefficient sequence The Middle Large coefficients, This represents the value of the j-th code in the encoded sequence of the first management password. Represents the modified high-frequency coefficient sequence The j-th coefficient, Represents high-frequency coefficient sequence The Middle Large coefficients, This represents the value of the j-th code in the encoded sequence of the first unit area number. For embedding coefficients.

3. The intelligent device authentication method for distribution network areas according to claim 1, characterized in that, When calculating the difference between the first mixed signal and the target signal and using it as registration information, the specific steps include: The current first mixed signal is acquired and a single-scale wavelet transform is performed to obtain the corresponding low-frequency coefficient sequence and high-frequency coefficient sequence. The difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal is calculated, and the difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal is also calculated. Repeat the previous step until the required number of repetitions is met; Calculate the average difference between the low-frequency coefficient sequence of the first mixed signal and the low-frequency coefficient sequence of the target signal for each iteration. And calculate the average difference between the high-frequency coefficient sequence of the first mixed signal and the high-frequency coefficient sequence of the target signal for each iteration. and average and Saved locally as registration information.

4. The intelligent device authentication method for distribution network areas according to claim 3, characterized in that, When using registration information to correct the second mixed signal, the specific steps include: The second mixed signal is acquired and subjected to single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence and high-frequency coefficient sequence. average The low-frequency coefficient sequence of the second mixed signal is combined with the low-frequency coefficient sequence of the second mixed signal to obtain the corrected low-frequency coefficient sequence of the second mixed signal, and the average value is then calculated. The high-frequency coefficient sequence of the second mixed signal is combined with the high-frequency coefficient sequence of the second mixed signal to obtain the high-frequency coefficient sequence of the second mixed signal after correction.

5. The intelligent device authentication method for distribution network areas according to claim 4, characterized in that, When calculating the second transformer substation number and the second management password based on the corrected second mixed signal and the second distribution transformer noise, the specific details include: The noise of the second distribution transformer is subjected to single-scale wavelet transform to obtain the corresponding low-frequency coefficient sequence and high-frequency coefficient sequence. Select the first low-frequency coefficient sequence of the noise from the second distribution transformer in descending order. A set of coefficients are used, and based on the difference between the selected coefficients and the corresponding coefficients in the low-frequency coefficient sequence after the second mixed signal correction, the corresponding values ​​in the encoded sequence of the second management password are restored. Indicates the length of the encoded sequence of the first management password; Select the first high-frequency coefficient sequence of the noise from the second distribution transformer in descending order. Each coefficient is used, and based on the difference between the selected coefficient and the corresponding coefficient in the high-frequency coefficient sequence after the second mixed signal correction, the corresponding value in the encoded sequence of the second substation number is restored. This indicates the length of the encoded sequence of the first station area number.

6. The intelligent device authentication method for distribution network areas according to claim 5, characterized in that, When restoring the corresponding value in the encoded sequence of the second management password, and the corresponding value in the encoded sequence of the second station area number, the expressions are as follows: in, This represents the value of the j-th code in the encoded sequence of the second management password. This represents the j-th coefficient in the low-frequency coefficient sequence after the second mixed signal correction. The low-frequency coefficient sequence representing the noise of the second distribution transformer is shown in the figure. Large coefficients, This represents the value of the j-th code in the encoded sequence of the second station area number. This represents the j-th coefficient in the high-frequency coefficient sequence after the second mixed signal correction. The high-frequency coefficient sequence representing the noise of the second distribution transformer is shown in the figure. Large coefficients.

7. A smart device authentication system for distribution network areas, comprising a configuration terminal, characterized in that, The configuration terminal is programmed or configured to perform the intelligent device authentication method for distribution network areas as described in any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the intelligent device authentication method for distribution network areas as described in any one of claims 1 to 6.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the intelligent device authentication method for distribution network areas as described in any one of claims 1 to 6.

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