Quantum encryption-based intelligent operation and maintenance information system for power distribution room

Abstract

The application relates to the technical field of data processing, in particular to a power distribution room intelligent operation and maintenance information system based on quantum encryption, which comprises the following steps: determining the attention degree of each data type in the power distribution room intelligent operation and maintenance information system according to the correlation degree of each data type with the power distribution room intelligent operation and maintenance information system, the transmission abnormality of each data type in historical transmission data and the data amplitude change degree; determining the data type to be sent according to the bandwidth load condition of the power distribution room intelligent operation and maintenance information system and the bandwidth occupation condition of each data type; sorting the data type to be sent according to the attention degree to obtain the priority of the data type to be sent; and determining the target key update rate of the data type to be sent according to the priority and a preset initial key update rate, so that the power distribution room intelligent operation and maintenance information system updates the quantum key according to the target key update rate. The application effectively solves the technical problem of fixed key update frequency.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of data processing, and in particular to a power distribution room intelligent operation and maintenance information system based on quantum encryption. BACKGROUND

[0002] With the rapid development of the power industry and the in-depth intelligent transformation, the power distribution room as a key component of the power system, the intelligent level of its operation and maintenance management directly affects the stability and security of the entire power system. The traditional power distribution room operation and maintenance management mode has many shortcomings, such as low efficiency of manual inspection, untimely fault discovery, and difficulty in ensuring data security. Therefore, it is particularly important to develop an efficient, intelligent and secure power distribution room operation and maintenance management system.

[0003] When quantum encryption is used to encrypt the power distribution room operation and maintenance information equipment, the generation speed of the key will affect the security of quantum encryption. In the traditional quantum encryption process, a specific key generation speed is generally selected, such as 1Mbps or 5Mbps. But this kind of fixed time frequency updates the key, which is easy to let the attacker predict the time of the next key update by analyzing the historical data, and reduces the security of the power distribution room intelligent operation and maintenance information system. SUMMARY

[0004] In order to solve the technical problem that the fixed key update frequency leads to low security of the power distribution room intelligent operation and maintenance information system, the purpose of the application is to provide a power distribution room intelligent operation and maintenance information system based on quantum encryption, and the technical scheme adopted is as follows:

[0005] The analysis module is used to determine the attention degree of each data type in the power distribution room intelligent operation and maintenance information system according to the preset association degree of each data type with the power distribution room intelligent operation and maintenance information system, the transmission abnormality of each data type in the historical transmission data and the data amplitude change degree of each data type in the historical transmission data;

[0006] The screening module is used to determine the data type to be sent according to the bandwidth load condition of the power distribution room intelligent operation and maintenance information system and the bandwidth occupation condition of each data type;

[0007] The priority determination module is used to sort the data type to be sent according to the attention degree of each data type in the power distribution room intelligent operation and maintenance information system, and obtain the priority corresponding to the data type to be sent;

[0008] The key update rate determination module is used to determine the target key update rate of the data type to be sent according to the priority corresponding to the data type to be sent and the preset initial key update rate, so that the power distribution room intelligent operation and maintenance information system updates the quantum key for transmitting the data type to be sent according to the target key update rate.

[0009] Preferably, the method for determining the correlation degree of each data type with the intelligent operation and maintenance information system of the power distribution room comprises:

[0010] Extract the risk parameter corresponding to the xth data type;

[0011] Sum the risk parameters corresponding to the xth data type to obtain a first operation result, and calculate the first operation result according to a preset first weight coefficient to obtain the correlation degree of the xth data type with the intelligent operation and maintenance information system of the power distribution room.

[0012] Preferably, the method for determining the transmission abnormality of each data type in the historical transmission data comprises:

[0013] Determine the transmission proportion of the transmission data amount of the xth data type in the transmission data amount of each data type in the historical transmission data;

[0014] Determine the transmission abnormality coefficient of the xth data type according to the transmission data amount of the xth data type and the received data amount of the xth data type;

[0015] Determine the transmission abnormality of the xth data type according to the transmission proportion and the transmission abnormality coefficient of the xth data type.

[0016] Preferably, the method for determining the data amplitude variation degree of each data type in the historical transmission data comprises:

[0017] Determine the range of the transmission data value of the xth data type according to the maximum transmission data value corresponding to the xth data type and the minimum transmission data value corresponding to the xth data type;

[0018] Sum the difference values of each adjacent transmission data corresponding to the xth data type to obtain a second operation result, and calculate the ratio of the second operation result to the transmission data amount of the xth data type to obtain the amplitude variation coefficient of the xth data type;

[0019] Determine the data amplitude variation degree of the xth data type according to the range of the transmission data value of the xth data type and the amplitude variation coefficient of the xth data type.

[0020] Preferably, the method for generating historical transmission data comprises:

[0021] Determine the correlation degree order according to the correlation degree of each data type with the intelligent operation and maintenance information system of the power distribution room;

[0022] According to the correlation degree order, transmit the required transmission data to generate the historical transmission data.

[0023] Preferably, according to the preset correlation degree of each data type and the power distribution room smart operation and maintenance information system, the transmission abnormality of each data type in the historical transmission data, and the data amplitude variation degree of each data type in the historical transmission data, the attention degree of each data type in the power distribution room smart operation and maintenance information system is determined, including:

[0024] According to the preset second weight coefficient, the data amplitude variation degree of the xth data type is calculated to obtain the target data amplitude variation degree of the xth data type;

[0025] According to the preset third weight coefficient, the correlation degree of the xth data type and the power distribution room smart operation and maintenance information system is calculated to obtain the target correlation degree of the xth data type;

[0026] According to the preset fourth weight coefficient, the transmission abnormality of the xth data type is calculated to obtain the target transmission abnormality of the xth data type;

[0027] The target data amplitude variation degree of the xth data type, the target correlation degree of the xth data type, and the target transmission abnormality of the xth data type are summed to obtain the attention degree of the xth data type in the power distribution room smart operation and maintenance information system.

[0028] Preferably, after determining the attention degree of each data type in the power distribution room smart operation and maintenance information system, it further includes:

[0029] The preset sudden event dynamic correction table is used to correct the attention degree of each data type in the power distribution room smart operation and maintenance information system to obtain the corrected attention degree of each data type in the power distribution room smart operation and maintenance information system.

[0030] Preferably, the method for determining the bandwidth occupation of each data type includes:

[0031] According to the additional bandwidth occupied by the quantum key distribution and the protocol encapsulation overhead, a bandwidth occupation coefficient is determined;

[0032] According to the bandwidth occupation coefficient and the original bandwidth of the xth data type, the bandwidth occupation of the xth data type is determined.

[0033] Preferably, according to the priority corresponding to the to-be-sent data type and the preset initial key update rate, the target key update rate of the to-be-sent data type is determined, including:

[0034] The number of grades of the last priority in the priority corresponding to the to-be-sent data type is determined;

[0035] According to the priority of the xth data type and the number of grades of the last priority, a rate update coefficient is determined;

[0036] According to the preset initial key update rate and the rate update coefficient, a target key update rate of the data type to be sent is determined.

[0037] Preferably, the method for determining the quantum key comprises:

[0038] In the case that the receiving party receives the quantum bit and the measurement base vector of the quantum bit sent by the sender of the power distribution room intelligent operation and maintenance information system is the same, the quantum key is generated according to the quantum bit with the same measurement base vector.

[0039] The present application has the following advantages:

[0040] According to the preset correlation degree of each data type and the power distribution room intelligent operation and maintenance information system, the transmission abnormality of each data type in the historical transmission data and the data amplitude variation degree of each data type in the historical transmission data, the attention degree of each data type in the power distribution room intelligent operation and maintenance information system is determined;According to the bandwidth load condition of the power distribution room intelligent operation and maintenance information system and the bandwidth occupation condition of each data type, the data type to be sent is determined;According to the attention degree of each data type in the power distribution room intelligent operation and maintenance information system, the data type to be sent is sorted, and the priority corresponding to the data type to be sent is obtained;According to the priority corresponding to the data type to be sent and the preset initial key update rate, the target key update rate of the data type to be sent is determined, so that the power distribution room intelligent operation and maintenance information system updates the quantum key of the transmission data type to be sent according to the target key update rate. In this way, the attention degree of each data type in the power distribution room intelligent operation and maintenance information system is calculated from the correlation degree of the data type and the power distribution room intelligent operation and maintenance information system, the transmission abnormality of the data type and the data amplitude variation degree of the data type, so that the calculated attention degree is more accurate, and the key update rate corresponding to each data type is analyzed by using the attention degree, so that the generated key update rate is more reasonable, and the problem of fixed key update rate is solved, thereby ensuring the security of data transmission in the power distribution room intelligent operation and maintenance information system. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creating any creative labor.

[0042] Figure 1 A schematic diagram of a power distribution room intelligent operation and maintenance information system based on quantum encryption is provided for an embodiment of the present application;

[0043] Figure 2 A specific flowchart of a determination method of a preset correlation degree of each data type and the power distribution room intelligent operation and maintenance information system provided by an embodiment of the present application;

[0044] Figure 3 A specific flowchart of a determination method of a transmission abnormality of each data type in historical transmission data provided by an embodiment of the present application;

[0045] Figure 4 A specific flowchart of a determination method of a data amplitude variation degree of each data type in historical transmission data provided by an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined purpose, the following describes in detail the specific implementation, structure, features and effects of a power distribution room intelligent operation and maintenance information system based on quantum encryption according to the present application, with reference to the accompanying drawings and preferred embodiments. Different "one embodiment" or "another embodiment" in the following description do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0047] It should be noted that, in order to ensure that the calculation result is meaningful, when performing fractional operation, the present embodiment needs to add a parameter adjustment factor greater than 0 to the denominator to prevent the denominator from being 0. The value of the parameter adjustment factor is set by the implementer according to the actual situation, and the present application does not make special limitations.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0049] Please refer to Figure 1 which shows a schematic diagram of a power distribution room intelligent operation and maintenance information system based on quantum encryption provided by an embodiment of the present application. In an exemplary embodiment, a power distribution room intelligent operation and maintenance information system based on quantum encryption is provided, which comprises:

[0050] The analysis module 110 is configured to determine the attention degree of each data type in the power distribution room intelligent operation and maintenance information system according to the preset correlation degree of each data type and the power distribution room intelligent operation and maintenance information system, the transmission abnormality of each data type in historical transmission data, and the data amplitude variation degree of each data type in historical transmission data.

[0051] The screening module 120 is configured to determine the data type to be sent according to the bandwidth load condition of the power distribution room intelligent operation and maintenance information system and the bandwidth occupation condition of each data type.

[0052] The priority determination module 130 is configured to sort the data types to be sent according to the attention degrees of the data types in the power distribution room intelligent operation and maintenance information system, and obtain the priorities of the data types to be sent.

[0053] The key update rate determination module 140 is configured to determine a target key update rate of the data type to be sent according to the priority of the data type to be sent and a preset initial key update rate, so that the power distribution room intelligent operation and maintenance information system updates the quantum key for transmitting the data type to be sent according to the target key update rate.

[0054] Exemplarily, the historical transmission data in the analysis module is generated according to the quantum key transmission data. Therefore, before the power distribution room intelligent operation and maintenance information system obtains the historical transmission data, the quantum key needs to be obtained first.

[0055] Preferably, the determination method of the quantum key comprises: in the case that the quantum bit received by the receiving party is the same as the measurement basis vector of the quantum bit sent by the sender of the power distribution room intelligent operation and maintenance information system, generating the quantum key according to the quantum bit with the same measurement basis vector.

[0056] Specifically, the device needs to be configured first, that is, the quantum key distribution (QKD) core device needs to be deployed in the regional power distribution center, and the high-speed quantum light source and the single-photon detector need to be configured. At the same time, the quantum communication terminal (QCT) is installed in each power distribution room, and the core node is connected through the existing optical fiber (such as OPGW optical cable) or special quantum channel. Then, the sender of the power distribution room intelligent operation and maintenance information system prepares a series of quantum bits, and the quantum bits are in a specific quantum state. The sender of the power distribution room intelligent operation and maintenance information system sends the quantum bits to the receiving party through the quantum channel (such as optical fiber).

[0057] After receiving each quantum bit, the receiving party randomly selects a measurement basis vector to measure. If the sender and the receiving party of the power distribution room intelligent operation and maintenance information system disclose the measurement basis vector they select through the classical channel, the results of the quantum bits with the same measurement basis vector are reserved, and the quantum key is generated by using the results. Finally, the quantum error rate (QBER) is calculated by comparing part of the quantum key through the public channel, and if the QBER < 3%, the process continues. Then, the quantum key is compressed by using the hash function to eliminate potential information leakage. After privacy amplification, the secure shared key is obtained.

[0058] Exemplarily, when the proportion of the number of transmissions of data of a certain data type in a period of time is large, and the frequency of abnormal situations is higher, it indicates that the data type is more likely to be at risk in the data transmission process, and needs to be paid more attention to. Therefore, it is necessary to determine the attention degree of each data type in the power distribution room intelligent operation information system from multiple dimensions. For example, in combination with the change degree of the transmission data, for data with a large change amplitude, the data type may have a higher requirement for real-time performance, and the attention degree should also be appropriately increased. For example, in combination with the association degree of the transmission data and the business of the power distribution room intelligent operation information system, for data with a high association degree, it indicates that the data type is more important in the intelligent operation information system, and the contribution degree to the stable operation of the power grid is greater, so the attention degree set for it is higher. For example, when the data size of a certain data type in a period of time is larger (i.e., the number of the proportion of the total number of the corresponding data type is larger), it indicates that the amount of data generated by it in the time period is large, and more attention should be paid to the security problem in the transmission process. Further considering the number of abnormal transmissions in the transmission process, if the quantum channel is eavesdropped, the receiving end cannot receive effective data, and the attention degree of the data type in the power distribution room intelligent operation information system needs to be further increased. Therefore, the attention degree of the data type in the power distribution room intelligent operation information system can be calculated from three aspects of the association degree of the data type and the power distribution room intelligent operation information system, the transmission abnormal situation of the data type, and the data amplitude change degree of the data type.

[0059] Preferably, as shown in Figure 2 The method for determining the association degree of each data type and the power distribution room intelligent operation information system comprises:

[0060] S210, extracting a risk parameter corresponding to the xth data type;

[0061] S220, performing a summation operation on the risk parameter corresponding to the xth data type to obtain a first operation result, and calculating the first operation result according to a preset first weight coefficient to obtain the association degree of the xth data type and the power distribution room intelligent operation information system.

[0062] Specifically, the data type can be a fault data type. The risk parameter includes: power failure influence, equipment damage risk, operation and maintenance decision dependence, etc. In this embodiment, the score range of the risk parameter is 1-5 points, and other score ranges can also be set, which are not limited herein. It can be understood that the summation operation on the risk parameter is to calculate the scores corresponding to each risk parameter.

[0063] In this embodiment, the correspondence between various data types and risk parameters can be stored in tabular form. Therefore, after determining the x-th data type, the score corresponding to each risk parameter can be found in the correspondence between data types and risk parameters, and then calculated. The formula for calculating the correlation between the x-th data type and the intelligent operation and maintenance information system of the power distribution room is as follows:

[0064]

[0065] in, This indicates the degree of correlation between the x-th data type and the intelligent operation and maintenance information system for the power distribution room; Indicates the first The first data type The score corresponding to each risk parameter; k represents the total number of risk parameters; This represents the preset first weighting coefficient.

[0066] Preferably, the method for generating historical transmission data includes: determining the correlation order based on the correlation between each preset data type and the intelligent operation and maintenance information system of the power distribution room; transmitting the data to be sent according to the correlation order to generate historical transmission data.

[0067] Specifically, after calculating the correlation degree between each data type and the intelligent operation and maintenance information system of the power distribution room according to the above formula, they are sorted in descending order according to the numerical value of the correlation degree to obtain the correlation degree order. Then, the data to be sent by the intelligent operation and maintenance information system of the power distribution room is determined, sorted according to the correlation degree order, and transmitted according to the sorted data. The preset initial key update rate is 10 minutes. Finally, based on the preset initial key update rate, transmission continues for 30 minutes to generate historical transmission data.

[0068] Preferably, such as Figure 3 As shown, the methods for determining transmission anomalies for various data types in historical data transmission include:

[0069] S310. Determine the proportion of the amount of data of the xth data type sent to the amount of data of each data type sent in the historical transmission data.

[0070] S320. Determine the transmission anomaly coefficient of the x-th data type based on the amount of data sent and the amount of data received for the x-th data type.

[0071] S330. Determine the transmission anomaly status of the xth data type based on the transmission ratio and the transmission anomaly coefficient of the xth data type.

[0072] Specifically, it is first necessary to clarify the data types that need to be transmitted in the intelligent operation and maintenance information system of the power distribution room, and set the required data to be sent corresponding to the x-th data type in the intelligent operation and maintenance information system as:

[0073]

[0074] in, This represents the data to be sent corresponding to the x-th data type that needs to be transmitted in the system. This indicates the xth data type in the transmission process. The data value of each data point.

[0075] The formula for calculating the transmission exception of the xth data type is as follows:

[0076]

[0077] in, This indicates an abnormal transmission condition for the x-th data type; This indicates the amount of data sent for each data type in the historical transmission data (i.e., the total amount of data transmitted in the historical transmission data). This represents the amount of data sent for the xth data type in the historical data transmission (i.e., the amount of data sent by the sender). This represents the amount of data received for the x-th data type in the historical data transmission (i.e., the amount of data received by the receiver).

[0078] In this way, by using the proportion of each data type in the transmission process and the frequency of abnormal reception, the transmission anomalies of each data type can be calculated, and the data situation of each data type that the receiver cannot receive can be determined. This allows for a more reasonable analysis of the attention of each data type in the power distribution room's intelligent operation and maintenance information system, and thus an effective ranking of the transmission priorities of each data type.

[0079] Preferably, such as Figure 4 As shown, the method for determining the degree of variation in the data amplitude of various data types in historical transmitted data includes:

[0080] S410. Determine the range of the transmitted data values ​​of the x-th data type based on the maximum transmitted data value and the minimum transmitted data value corresponding to the x-th data type.

[0081] S420. Summing the differences between each adjacent transmitted data corresponding to the xth data type to obtain the second operation result, and calculating the ratio of the second operation result to the transmitted data amount of the xth data type to obtain the amplitude change coefficient of the xth data type;

[0082] S430, determining a data amplitude variation degree of the xth data type according to the range of the transmission data value of the xth data type and the amplitude variation coefficient of the xth data type.

[0083] Specifically, the calculation formula of the data amplitude variation degree of the xth data type is as follows:

[0084] Wherein, represents the data amplitude variation degree of the xth data type; represents the maximum transmission data value (i.e. the maximum value in the data set ) corresponding to the xth data type; represents the minimum transmission data value (i.e. the minimum value in the data set ) corresponding to the xth data type.

[0085] Further, according to the preset association degree of each data type with the power room intelligent operation and maintenance information system, the transmission abnormality of each data type in the historical transmission data and the data amplitude variation degree of each data type in the historical transmission data, the attention degree of each data type in the power room intelligent operation and maintenance information system is determined, including:

[0086] According to the preset second weight coefficient, the data amplitude variation degree of the xth data type is calculated to obtain the target data amplitude variation degree of the xth data type;

[0087] According to the preset third weight coefficient, the association degree of the xth data type with the power room intelligent operation and maintenance information system is calculated to obtain the target association degree of the xth data type;

[0088] According to the preset fourth weight coefficient, the transmission abnormality of the xth data type is calculated to obtain the target transmission abnormality of the xth data type; the target data amplitude variation degree of the xth data type, the target association degree of the xth data type and the target transmission abnormality of the xth data type are summed to obtain the attention degree of the xth data type in the power room intelligent operation and maintenance information system.

[0089] Specifically, the preset second weight coefficient, the preset third weight coefficient and the preset fourth weight coefficient can be numerical values set according to working experience, which are not limited here.

[0090] In this embodiment, the calculation formula of the attention degree of the xth data type in the power room intelligent operation and maintenance information system is as follows:

[0091]

[0092] Wherein, represents the attention degree of the xth data type in the power distribution room intelligent operation information system; represents the preset second weight coefficient (i.e., the weight value of the change degree of the data value in the attention degree calculation), which is generally set to 0.35; represents the target data amplitude change degree of the xth data type; represents the preset third weight coefficient (i.e., the weight value of the business relevance of the data in the attention degree calculation), which is generally set to 0.4; represents the target relevance of the xth data type; represents the preset fourth weight coefficient (i.e., the weight value of the data transmission performance of the data in the attention degree calculation), which is generally set to 0.25; represents the target transmission abnormality of the xth data type.

[0093] In this way, the attention degree of each data type in the power distribution room intelligent operation information system is calculated based on the above formula. Thus, by using the data transmission conditions of different data types in the historical transmission data, the relevance of different data types to the business and the amplitude change degree in the data transmission process are analyzed from multiple dimensions to analyze the attention degree (i.e., the attention degree) of different data types, and then the priority of each data type transmission is effectively sorted.

[0094] Further, although the attention degree calculation of all data types in the historical data generated by the power distribution room intelligent operation system is completed in the above process. However, in the actual operation process of the system, various abnormal situations may be encountered, which requires dynamic correction of the attention degree of the data type, thereby helping to analyze the priority of various data types in the subsequent transmission process.

[0095] Preferably, after determining the attention degree of each data type in the power distribution room intelligent operation information system, the method further comprises: correcting the attention degree of each data type in the power distribution room intelligent operation information system by using a preset sudden event dynamic correction table to obtain the corrected attention degree of each data type in the power distribution room intelligent operation information system.

[0096] Specifically, the preset sudden event dynamic correction table is pre-set, which lists different sudden event corresponding dynamic correction coefficients. It can be understood that the dynamic correction coefficients corresponding to different sudden events are set according to actual work experience. The calculation formula of the corrected attention degree of the xth data type in the power distribution room intelligent operation information system is as follows:

[0097]

[0098] wherein, represents the xth data type in the power distribution room intelligent operation information system​ a dynamic correction coefficient of each data type in the case of a sudden event, for example, the dynamic correction coefficient corresponding to a sudden power failure is 0.8, and the dynamic correction coefficient corresponding to high temperature is 0.5, and there is no limitation to this.

[0099] Exemplarily, in the screening module, it is necessary to screen the data types that can be sent by the power distribution room intelligent operation and maintenance information system, so it is necessary to determine the bandwidth load condition of the power distribution room intelligent operation and maintenance information system and the bandwidth occupation condition of each data type.

[0100] Preferably, the method for determining the bandwidth occupation condition of each data type comprises: determining a bandwidth occupation coefficient according to the additional bandwidth occupied by quantum key distribution and the protocol encapsulation overhead; and determining the bandwidth occupation condition of the xth data type according to the bandwidth occupation coefficient and the original bandwidth of the xth data type.

[0101] Specifically, the original bandwidth of the xth data type is obtained in advance, the additional bandwidth occupied by quantum key distribution is determined based on the protocol, such as 10% redundancy for BB84 protocol, and the protocol encapsulation overhead is determined based on the message header, such as 5% load increase for IEC61850 message header.

[0102] The calculation formula of the bandwidth occupation condition of the xth data type is as follows:

[0103]

[0104] Among them, the original bandwidth of the xth data type; the additional bandwidth occupied by quantum key distribution; the protocol encapsulation overhead; the bandwidth occupation condition of the xth data type.

[0105] In the screening module, after calculating the bandwidth occupation condition of each data type based on the above formula, the data types that can be sent within the system bandwidth bearing range are selected according to the bandwidth load condition of the power distribution room intelligent operation and maintenance information system, which are used as the to-be-sent data types.

[0106] Further, in the priority determination module, the to-be-sent data types are sorted in descending order according to the calculated attention degrees of each data type in the power distribution room intelligent operation and maintenance information system, i.e. sorted from high to low according to the attention degrees, to obtain the priority corresponding to the to-be-sent data types.

[0107] Further, according to the priority corresponding to the to-be-sent data types and the preset initial key update rate, the target key update rate of the to-be-sent data types is determined, comprising:

[0108] ​determining the last priority level in the priority levels corresponding to the data type to be sent; determining a rate updating coefficient according to the priority level of the xth data type and the last priority level; and determining the target key updating rate of the data type to be sent according to the preset initial key updating rate and the rate updating coefficient.

[0109] Specifically, the calculation formula of the target key updating rate of the data type to be sent is as follows:

[0110]

[0111] wherein, represents the target key updating rate of the data type to be sent.

[0112] represents the priority of the data type to be sent (1 represents the highest priority); represents the last priority level, i.e. the level corresponding to the lowest priority; represents 10 minutes, and the system default key updating rate is: updating once every 10 minutes.

[0113] In this way, for the data type with high priority, it means that the importance of the data type in the data transmission process of the power distribution room intelligent operation and maintenance information system is greater, and more frequent key updating is required to ensure security. However, since 1 represents the highest priority, the level of the data type corresponding to the level of the data type to be sent is subtracted to obtain a more frequent key updating rate.

[0114] Further, based on the calculated key updating rates of various data types, when the system starts to transmit a new data type, the quantum key is updated according to the calculated target key updating rate corresponding to the data type. In order to further ensure the security of the quantum key, the power distribution room intelligent operation information system re-calculates the key updating rate of each data type every 30 minutes of data transmission, so as to ensure the security of the data transmission of the power distribution room intelligent operation and maintenance information system.

[0115] In this way, in the technical solution, the attention of each data type in the power distribution room intelligent operation and maintenance information system is calculated from multiple dimensions, and the key updating rate corresponding to each data type is analyzed by using the attention, which solves the problem of fixed key updating rate, thereby ensuring the security of data transmission in the power distribution room intelligent operation and maintenance information system.

[0116] It should be noted that the above-mentioned order of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0117] The various embodiments described in this specification are presented by way of example, and each embodiment is not necessarily composed of all features described with respect to other embodiments.

Claims

1. A smart operation and maintenance information system for power distribution rooms based on quantum encryption, characterized in that, include: The analysis module is used to determine the attention level of each data type in the intelligent operation and maintenance information system of the power distribution room based on the correlation between each data type and the power distribution room intelligent operation and maintenance information system, the transmission anomalies of each data type in the historical transmission data, and the degree of change of the data amplitude of each data type in the historical transmission data. The filtering module is used to determine the data type to be sent based on the bandwidth load of the power distribution room's intelligent operation and maintenance information system and the bandwidth usage of each data type. The priority determination module is used to sort the data types to be sent according to the attention of each data type in the intelligent operation and maintenance information system of the power distribution room, and obtain the priority of the data type to be sent. The key update rate determination module is used to determine the target key update rate of the data type to be sent based on the priority of the data type to be sent and the preset initial key update rate, so that the power distribution room intelligent operation and maintenance information system can update the quantum key for transmitting the data type to be sent according to the target key update rate. The methods for determining the correlation between the preset data types and the intelligent operation and maintenance information system for power distribution rooms include: Extract the risk parameters corresponding to the x-th data type; The risk parameters corresponding to the xth data type are summed to obtain the first calculation result. The first calculation result is then calculated based on the preset first weight coefficient to obtain the correlation between the xth data type and the power distribution room intelligent operation and maintenance information system. The methods for determining transmission anomalies for various data types in historical transmission data include: Determine the proportion of the data volume of the xth data type to the total data volume of each data type in the historical transmission data; The transmission anomaly coefficient of the x-th data type is determined based on the amount of data sent and the amount of data received for the x-th data type. The transmission anomaly of the xth data type is determined based on the transmission ratio and the transmission anomaly coefficient of the xth data type. The methods for generating historical transmission data include: The order of correlation is determined based on the pre-defined correlation between each data type and the intelligent operation and maintenance information system for power distribution rooms; Data is transmitted in order of relevance, and historical transmission data is generated. Specifically, based on the pre-defined correlation between each data type and the intelligent operation and maintenance information system for the power distribution room, the transmission anomalies of each data type in historical transmission data, and the degree of data amplitude variation of each data type in historical transmission data, the attention level of each data type in the intelligent operation and maintenance information system for the power distribution room is determined, including: The degree of change in the magnitude of the x-th data type is calculated based on the preset second weighting coefficient to obtain the target degree of change in the magnitude of the x-th data type. The correlation between the xth data type and the intelligent operation and maintenance information system of the power distribution room is calculated based on the preset third weight coefficient, and the target correlation of the xth data type is obtained. The transmission anomaly of the xth data type is calculated based on the preset fourth weighting coefficient to obtain the target transmission anomaly of the xth data type. The summation of the target data amplitude change degree of the xth data type, the target correlation degree of the xth data type, and the target transmission anomaly of the xth data type yields the attention level of the xth data type in the intelligent operation and maintenance information system of the power distribution room. After determining the level of attention given to each data type in the intelligent operation and maintenance information system for power distribution rooms, the following is also included: The attention of each data type in the intelligent operation and maintenance information system of the power distribution room is corrected by using a preset dynamic correction table for sudden events, and the corrected attention of each data type in the intelligent operation and maintenance information system of the power distribution room is obtained.

2. The intelligent operation and maintenance information system for power distribution rooms based on quantum encryption as described in claim 1, characterized in that, Methods for determining the degree of variation in the amplitude of various data types in historical transmitted data include: Determine the range of the transmitted data values ​​of the x-th data type based on the maximum transmitted data value and the minimum transmitted data value corresponding to the x-th data type. The difference between each adjacent transmitted data corresponding to the xth data type is summed to obtain the second operation result, and the ratio of the second operation result to the transmitted data amount of the xth data type is calculated to obtain the amplitude change coefficient of the xth data type. The degree of amplitude variation of the x-th data type is determined based on the range of the transmitted data values ​​and the amplitude variation coefficient of the x-th data type.

3. The intelligent operation and maintenance information system for power distribution rooms based on quantum encryption according to claim 1, characterized in that, Methods for determining bandwidth usage for various data types include: The bandwidth occupancy factor is determined based on the additional bandwidth used by quantum key distribution and the protocol encapsulation overhead. Based on the bandwidth occupancy coefficient and the original bandwidth of the xth data type, determine the bandwidth occupancy of the xth data type.

4. The intelligent operation and maintenance information system for power distribution rooms based on quantum encryption according to claim 3, characterized in that, Based on the priority of the data type to be sent and the preset initial key update rate, determine the target key update rate for the data type to be sent, including: Determine the priority level of the last digit in the priority category corresponding to the data type to be sent; The rate update coefficient is determined based on the priority of the xth data type and the level of the last priority. The target key update rate for the data type to be sent is determined based on the preset initial key update rate and rate update coefficient.

5. The intelligent operation and maintenance information system for power distribution rooms based on quantum encryption according to claim 1, characterized in that, Methods for determining quantum keys include: If the measurement basis vectors of the qubits received by the receiver are the same as those of the qubits sent by the intelligent operation and maintenance information system of the power distribution room, a quantum key is generated based on the qubits with the same measurement basis vectors.

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