CN117852093B - Electric power engineering data key information protection method - Google Patents
Electric power engineering data key information protection method Download PDFInfo
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Abstract
The application relates to the technical field of data processing, and provides a key information protection method for power engineering data, which comprises the following steps: acquiring a debugging data sequence; determining a short-time debug shock coefficient based on a likelihood that each data point in each debug data sequence changes abruptly in a short time; determining a short-time abrupt change significant coefficient based on a partitioning result of the data sequence by the short-time debug abrupt change coefficient of each data point in the debug data sequence; determining a short-time abrupt change chain reaction association coefficient based on the chain reaction characteristics caused by the short-time change of various debugging data; self-adaptively determining a private key adaptation value based on the short-time abrupt change significant coefficient and the short-time abrupt change chain reaction association coefficient; and adopting an ECC encryption algorithm to complete encryption processing of debugging data in the transformer substation engineering based on the private key adaptation value. According to the application, the ECC encryption algorithm is optimized through the chain reaction characteristics caused by the sudden change of the debug data, so that the protection degree of the debug data is improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a key information protection method for power engineering data.
Background
The electric power engineering refers to engineering related to power generation, transmission, distribution and the like, and aims to realize efficient, safe and reliable transmission and utilization of electric energy. The key information in the power engineering relates to the business confidentiality of enterprises, including engineering design, cost data, acceptance data and other important information, and leakage of the data can pose serious threat to the security and business confidentiality of the power engineering project, so that the key information in the power engineering data needs to be encrypted to prevent information leakage.
The elliptic curve encryption ECC (Elliptic Curve Cryptography) algorithm is an asymmetric encryption algorithm, the ECC encryption algorithm has higher security, higher efficiency and smaller storage space requirement compared with the traditional encryption algorithms such as RSA and DSA, but the value of a private key in the traditional ECC encryption algorithm is a random number, wherein the operation time of the algorithm can be increased due to the fact that the value of the private key in the ECC encryption algorithm is too large, the security of a ciphertext can be reduced due to the fact that the value of the private key is too small, and the data in electric engineering has the characteristics of being more and more, and the security of key information in the electric engineering data can be reduced due to the fact that the private key in the ECC encryption algorithm is improperly selected.
Disclosure of Invention
The application provides a key information protection method for electric power engineering data, which aims to solve the problem of low encryption security of the electric power engineering data caused by improper selection of a private key value in an ECC encryption algorithm, and adopts the following technical scheme:
the embodiment of the application provides a method for protecting key information of power engineering data, which comprises the following steps:
acquiring a debugging data sequence of each SF6 circuit breaker in a transformer substation project;
Determining a short-time debugging shock coefficient of each data point in each debugging data sequence of each SF6 circuit breaker based on the possibility that each data point changes suddenly in a short time; determining a short-time sudden change significant coefficient of each debugging data sequence based on a dividing result of the short-time sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker;
Determining a short-time abrupt change chain reaction association coefficient of each debugging data sequence of each SF6 circuit breaker based on chain reaction characteristics caused by the change of various debugging data of each SF6 circuit breaker in a short time; the method comprises the steps that a private key adaptation value of a debugging data sequence is adaptively determined based on a short-time sudden change significant coefficient and a short-time sudden change chain reaction association coefficient of each debugging data sequence of each SF6 circuit breaker;
Adopting an ECC encryption algorithm to complete encryption processing of debugging data in the transformer substation engineering based on the private key adaptation value;
The method for determining the short-time debugging sudden change coefficient of each data point based on the possibility that each data point in each debugging data sequence of each SF6 circuit breaker is suddenly changed in a short time comprises the following steps:
determining a first product factor based on a short-time data sequence taken by each data point in each debug data sequence of each SF6 circuit breaker;
taking a first-order difference processing result of a short-time data sequence taken by each data point in each debugging data sequence of each SF6 circuit breaker as a short-time change rate sequence of each data point;
Calculating the average value of the accumulation results of the absolute value of the difference value of each element in the short-time change rate sequence and the average value of all elements in the short-time change rate sequence, and taking the calculation result taking the natural constant as a base number and the average value as an index as a second product factor;
The short-time debugging sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker consists of a first product factor and a second product factor, wherein the short-time debugging sudden change coefficient is in direct proportion to the first product factor and the second product factor respectively;
The method for determining the short-time sudden change significant coefficient of each debugging data sequence based on the dividing result of the short-time sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker comprises the following steps:
Determining a division result of each debugging data sequence of each SF6 circuit breaker based on the short-time debugging sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker;
Taking the average value of the squares of the differences between the short-time debugging sudden change coefficient averages of all data points in any two short-time sudden change data sequence fragments in the dividing result of each debugging data sequence of each SF6 circuit breaker, which is accumulated twice on the dividing result, as a long-term debugging stability coefficient of each debugging data sequence;
Taking the sum of the average value of the accumulated result and 0.1 of the absolute value of the difference value of the hurst index and 0.5 of all elements in each short-time shock data sequence segment in the dividing result of each debugging data sequence of each SF6 circuit breaker as a denominator;
Taking the product of the ratio of the long-term debugging stability coefficient of each debugging data sequence to the denominator and the number of short-time abrupt change data sequence fragments in the dividing result of each debugging data sequence of each SF6 circuit breaker as the short-time abrupt change significant coefficient of each debugging data sequence;
The method for determining the short-time sudden change chain reaction association coefficient of each debugging data sequence of each SF6 circuit breaker based on the chain reaction characteristics caused by the short-time change of various debugging data of each SF6 circuit breaker comprises the following steps:
Taking the sum of the distance measurement result between each debugging data sequence of each SF6 circuit breaker and the short-time abrupt change data sequence of any one of the rest debugging data sequences and 0.1 as a first distance;
Taking a natural constant as a base, taking the product of the first distance and the calculation result of which the absolute value of the difference value between the short-time shock data sequence fragments corresponding to the short-time shock data sequences of the two debugging data sequences of each SF6 circuit breaker is an index as a synchronous linkage debugging change coefficient between the two debugging data sequences of each SF6 circuit breaker;
And taking the sum of the absolute value of the short-time abrupt change significant coefficient difference value of each debugging data sequence and any one of the rest of the debugging data sequences of each SF6 circuit breaker and 0.1 as a second distance, and taking the average value of the accumulated result of the inverse product of the synchronous linkage debugging change coefficient and the second distance product between each debugging data sequence and any one of the rest of the debugging data sequences on all the debugging data sequences of each SF6 circuit breaker as the short-time abrupt change linkage reaction association coefficient of each debugging data sequence of each SF6 circuit breaker.
Preferably, the method for obtaining the debug data sequence of each SF6 breaker in the transformer substation engineering comprises the following steps:
Acquiring the gas density, the gas pressure, the internal temperature and the current of an opening and closing coil of each SF6 circuit breaker by using a gas sensor, a pressure sensor, a temperature sensor and a current sensor respectively;
For any debugging data, taking collected data of the same debugging data of all SF6 circuit breakers as input, and carrying out normalization processing by adopting a data normalization method; and taking a sequence formed by normalization results of the collected data of each debugging data of each SF6 circuit breaker according to time sequence as a debugging data sequence of each debugging data of each SF6 circuit breaker.
Preferably, the method for determining the first product factor based on the short-time data sequence taken by each data point in each debug data sequence of each SF6 breaker comprises the following steps:
taking a sequence segment taken by taking each data point in each debugging data sequence of each SF6 circuit breaker as a central point as a short-time data sequence of each data point;
And taking the acquisition time and the value of the element corresponding to the element in the short-time data sequence of each data point as the horizontal coordinate and the vertical coordinate respectively, taking the short-time data sequence of each data point as input, acquiring the slope of the fitting straight line corresponding to the short-time data sequence of each data point by adopting a linear fitting algorithm, and taking the absolute value of the slope as a first product factor.
Preferably, the method for determining the division result of each debug data sequence of each SF6 breaker based on the short-time debug sudden change coefficient of each data point in each debug data sequence of each SF6 breaker comprises the following steps:
the method comprises the steps that a sequence obtained by replacing a short-time debugging sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker with a data value of each data point is used as a short-time sudden change data sequence of each debugging data sequence of each SF6 circuit breaker;
and taking the short-time abrupt change data sequence of each debugging data sequence of each SF6 circuit breaker as input, acquiring abrupt change points in the short-time abrupt change data sequence by adopting an abrupt change point detection algorithm, taking all the abrupt change points, the first element and the last element in the short-time abrupt change data sequence as a segmentation point, and taking a sequence consisting of elements between any two adjacent segmentation points as a short-time abrupt change data sequence segment.
Preferably, the method for adaptively determining the private key adaptation value of each debug data sequence based on the short-time sudden change significant coefficient and the short-time sudden change chain reaction association coefficient of each debug data sequence of each SF6 circuit breaker comprises the following steps:
Taking the normalization result of the short-time sudden change significant coefficient and the short-time sudden change chain reaction association coefficient product of each debugging data sequence of each SF6 circuit breaker as an important abnormal data evaluation index of each debugging data sequence of each SF6 circuit breaker;
a private key adaptation value for each debug data sequence is determined based on an important anomaly data evaluation index for the debug data sequence for each SF6 circuit breaker.
Preferably, the method for determining the private key adaptation value of each debug data sequence based on the important abnormal data evaluation index of each debug data sequence of each SF6 breaker comprises the following steps:
and rounding the product of the important abnormal data evaluation index and the order of the finite field in the ECC algorithm based on each debugging data sequence of each SF6 circuit breaker to obtain a private key adaptation value of the debugging data sequence.
Preferably, the method for completing encryption processing of debug data in transformer substation engineering by adopting an ECC encryption algorithm based on the private key adaptation value comprises the following steps:
and taking each debugging data sequence of each SF6 circuit breaker as an encrypted object, and obtaining ciphertext data of each debugging data sequence of each SF6 circuit breaker in the transformer substation engineering by adopting an ECC encryption algorithm based on a private key adaptation value of the debugging data sequence.
The beneficial effects of the application are as follows: the method disclosed by the application has the beneficial effects that the significance of the debugging data with the rapid change characteristic of the data in the short time in the SF6 circuit breaker is highlighted by analyzing the characteristic of the rapid change of the debugging data in the short time when the SF6 circuit breaker is abnormal and the distribution condition of the data in the short-time rapid change data sequence; secondly, a short-time abrupt change chain reaction association coefficient is constructed by combining the chain reaction characteristics when data among different debugging data are changed in the debugging process, and the method has the advantages that according to the characteristics that multiple debugging data are caused to change rapidly in the same or opposite short time when the SF6 circuit breaker is abnormal, the identification probability of abnormal data which is caused to change rapidly in the short time when the debugging data are abnormal due to the abnormality of the SF6 circuit breaker can be improved; the importance degree of various debugging data of each SF6 circuit breaker is evaluated according to the short-time abrupt change significant coefficient and the short-time abrupt change chain reaction association coefficient, the distinction of different importance degrees when various debugging data of each SF6 circuit breaker are encrypted and protected is realized, the private key adaptation value of each debugging data sequence when ECC is encrypted is determined in a self-adaptive mode, the protection degree of the debugging data which has larger influence on the debugging result of the SF6 circuit breaker in the debugging data of the SF6 circuit breaker is improved, and the probability of losing or being tampered with the important debugging data in the SF6 circuit breaker is reduced.
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In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for protecting key information of power engineering data according to an embodiment of the present application;
fig. 2 is a flowchart of an implementation of a method for protecting key information of power engineering data according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a flowchart of a method for protecting key information of power engineering data according to an embodiment of the application is shown, and the method includes the following steps:
and S001, acquiring a debugging data sequence of each SF6 circuit breaker in the transformer substation engineering.
In the application, the substation engineering in the power engineering is taken as an example, the debugging data in the substation engineering is an important basis for evaluating the running states of equipment and a system of the substation, if the debugging data is lost or tampered, the performance of the equipment and the system cannot be accurately evaluated, and the risk of accidents in the substation can be increased, so that the application performs information protection on the debugging data in the substation engineering, and the whole encryption protection flow is shown in figure 2.
Specifically, taking debugging data of sulfur hexafluoride SF6 circuit breakers in primary equipment of a transformer substation as an example, collecting the debugging data of all the circuit breakers in the transformer substation, wherein the types of the debugging data of the circuit breakers include, but are not limited to, data such as gas density, gas pressure, internal temperature and current of an opening and closing coil of the SF6 circuit breakers, and the data are collected through a gas sensor, a pressure sensor, a temperature sensor and a current sensor respectively. Secondly, the number of SF6 circuit breakers in the transformer substation is recorded asThe total number of categories of SF6 circuit breaker debugging data is recorded as/>The time interval between two adjacent data acquisitions per sensor is denoted/>The amount of data acquired by each sensor is noted/>Wherein/>Take the empirical value 1 second,/>Take the empirical value 600. It should be noted that, the time interval and the data amount of the data collection and the type of the debug data may be set to appropriate values by the practitioner according to the actual situation of the power engineering.
Further, for any debugging data, collected data of the same debugging data of all SF6 circuit breakers are used as input, and a max-min normalization method is adopted for normalization processing, wherein max-min is a known technology, and detailed processes are not repeated. In another embodiment, for any kind of debug data, collected data of the same debug data of all SF6 circuit breakers may be used as input, and the input collected data may be normalized by adopting Z-Score normalization, where the specific process is not repeated. Secondly, regarding any SF6 breaker in the transformer substation engineering, the ith of each SF6 breaker is carried out) And taking a sequence formed by normalization results of the debugging data according to a time sequence as a debugging data sequence of the ith debugging data of each SF6 breaker.
Thus, a debugging data sequence of each debugging data of each SF6 circuit breaker is obtained and used for subsequently analyzing the safety importance of each debugging data.
Step S002, determining a short-time debugging shock coefficient of each data point based on the possibility of the rapid change of each data point in each debugging data sequence in a short time; short-time-shock salient coefficients for each debug data sequence are determined based on the short-time-debug-shock coefficients for each data point in the debug data sequence.
In the debugging data of the transformer substation, the abnormal data in the debugging data has a more important effect than the normal data, and the abnormal data in the debugging data can help staff identify equipment faults, power grid anomalies or other potential risks, so that the debugging data capable of reflecting the SF6 breaker anomalies are endowed with higher encryption complexity by analyzing the debugging data of each SF6 breaker in the transformer substation, and the safety of the important data in the debugging data is improved.
In a normal operation state of the SF6 circuit breaker, various debugging data changes of the SF6 circuit breaker are relatively stable, namely, data does not change greatly in a short time, when the SF6 circuit breaker is abnormal, the debugging data of the SF6 circuit breaker is generally caused to change rapidly in a short time, and various debugging data are caused to change in the same or opposite data, so that the SF6 circuit breaker has a certain chain reaction characteristic. For example, when SF6 gas leaks from an SF6 circuit breaker, the SF6 gas pressure and the SF6 gas density can be reduced sharply; when the contact failure occurs at the terminals of the SF6 circuit breaker, the resistance value of the lead can be increased, the current of the opening and closing coil is sharply reduced, and a large amount of heat is generated by the resistance value of the lead, so that the internal temperature of the SF6 circuit breaker is sharply increased, and the opening and closing coil is burnt out.
For any debugging data sequence of each SF6 circuit breaker, the 1 st SF6 circuit breaker is used as the i-th debugging data sequence of the debugging dataFor example, debug data sequences/>, respectivelyEach data point in the data sequence is taken as a central point, and the data sequence is debugged/>Respectively selecting a sequence consisting of m adjacent data points on the left side and the right side of each data point as a debugging data sequence/>The short-time data sequence of each data point in the data sequence, the m size takes a checked value of 5, and it is to be noted that for the data points with the number of data points less than m at the left side and the right side, a neighbor filling mode is adopted to perform data filling, and a neighbor filling method is a known technology, and a specific process is not repeated.
Second, to evaluate debug data sequencesThe data change rule of each data point in a short time is to debug the data sequence/>Acquiring time and value of elements corresponding to elements in short-time data sequences of each data point as horizontal and vertical coordinates respectively, taking the short-time data sequences of each data point as input, and acquiring a debugging data sequence by adopting a linear fitting algorithmThe short-time data sequence of each data point corresponds to the slope of the fitting straight line, and the linear fitting algorithm is a known technology, and the specific process is not repeated. Further, for debug data sequence/>To debug data sequence/>The short-time data sequence of each data point in the data sequence is subjected to first-order difference processing, and the obtained result is used as a debugging data sequence/>The first-order differential processing is a known technique, and the specific process is not repeated.
Based on the above analysis, a short-time debugging collapse coefficient is constructed here for characterizing the possibility of abrupt changes in the data points in the data sequence corresponding to each type of debugging data of the circuit breaker in a short time. Debugging data sequencesThe calculation formula for each data point in (c) is as follows:
In the method, in the process of the invention, Is debug data sequence/>The short-time debugging sudden change coefficient of the jth data point in the data sequence is the debugging data sequence/>Short-term data sequence of jth data point in (1) corresponds to the slope of the fitted line,/>Is an exponential function based on natural constants, C is the debug data sequence/>The number of elements in the short time rate of change sequence of the jth data point,/>Is debug data sequence/>Average value of all elements in short-time change rate sequence of jth data point in (1)/>)Is a debug data sequenceThe (d) th element in the short time rate of change sequence of the (j) th data point.
Wherein the debug data sequenceThe greater the likelihood of a sudden change in the jth data point of a data sequence in a shorter debug time, the debug data sequence/>The more obvious the single trend that the data points are gradually increased or decreased, the first product factorThe greater the value of (2); debug data sequence/>The greater the degree of variation of the jth data point, the more prominent the jth data point in the whole sequence, the more responsive the data characteristic of a certain debugging result of the circuit breaker, the second product factorThe larger the value of/>The greater the value of (2).
Further, in order to analyze the significance of the occurrence of the data shock phenomenon of each debug data of each circuit breaker, according to the above steps, debug data sequences are respectively utilizedShort-time debug slump coefficients for each data point in (a) instead of debug data sequence/>The sequence obtained after replacement is used as debug data sequence/>Short time shock data sequence of (2). Second, short-time abrupt data sequence/>As input, a Pettitt mutation point detection algorithm is used to obtain the mutation point in the short-time shock data sequence. In another embodiment, for debug data sequence/>Short-time abrupt data sequences/>, can also be usedAs an input, a BG (Bernaola Galvan) sequence segmentation algorithm is adopted to determine mutation points in the short-time abrupt change data sequence, wherein a Pettitt mutation point detection algorithm and a BG sequence segmentation algorithm are both known techniques, and specific processes are not repeated. The mutation point, the first element and the last element in the short-time abrupt change data sequence are taken as a dividing point, and a sequence formed by elements between any two adjacent dividing points is taken as a short-time abrupt change data sequence segment. If no mutation point exists in one short-time shock data sequence, the short-time shock data sequence is taken as a unique short-time shock data sequence segment.
Based on the above analysis, short-time-shock significant coefficients are constructed here for characterizing the distribution characteristics of short-time-debug-shock coefficients within each debug data sequence. Debugging data sequencesThe calculation formula of the short-time shock significant coefficient is as follows:
In the method, in the process of the invention, Is debug data sequence/>Is the long-term debug stability coefficient of K is the short-time shock data sequence/>The number of short-time abrupt data sequence fragments contained, h, c are the short-time abrupt data sequence/>, respectivelyShort time shock data sequence segment comprising h and c >、/>Short time shock data sequences/>, respectivelyThe average value of all elements in the h short-time shock data sequence segment and the c short-time shock data sequence segment are contained;
is debug data sequence/> Short time abrupt change saliency coefficient of/>Is short time shock data sequence/>The Hurst index,/>, of the short-time-shock data sequence fragment of the c-th includedIs a parameter-adjusting factor for preventing denominator from being 0,/>The size of (2) is 0.1; the calculation of the hurst index is a well-known technique, and the detailed process is not repeated.
Wherein, the more obvious the phenomenon that the ith debugging data of the 1 st SF6 circuit breaker has abrupt data change, the debugging data sequenceThe more times a data point has a sharp data change in a short time, the short time shock data sequence/>The more short-time shock data sequence fragments are contained, the larger the value of K is, and the short-time shock data sequence/>The greater the difference between the short time debugging collapse coefficients of the data points in each time period in which abrupt data changes occur compared to the short time collapse coefficients of the normal data points in the remaining time period,/>、/>The greater the difference between,/>The greater the value of (2); short time shock data sequence/>The more pronounced the trend the short time dip coefficient of the data point within each time period in which the abrupt data change occurs,The smaller the value of/>The smaller the value of (2); i.e./>The larger the value of (2), the debug data sequence/>The higher the degree of significance of the abrupt data change that occurs therein.
So far, the short-time sudden change significant coefficient of each debugging data sequence is obtained and is used for subsequently analyzing the relevance among the change characteristics of various debugging data sequences of each SF6 circuit breaker.
Step S003, determining a short-time abrupt change chain reaction association coefficient of each debugging data sequence based on chain reaction characteristics caused by the short-time change of various debugging data of each SF6 circuit breaker; the private key adaptation value for each debug data sequence is adaptively determined based on the short-time-shock-saliency coefficient and the short-time-shock-chain-reaction-association coefficient of each debug data sequence.
In the transformer substation engineering, the abnormality of each SF6 breaker causes the abrupt data change of certain debugging data in a short time, and simultaneously causes the same or opposite data change of other various debugging data. The correlation coefficient of the short-time abrupt change chain reaction is constructed and used for representing whether the other types of debugging data have the same or opposite data change when each type of debugging data in each SF6 circuit breaker has abrupt data change. The calculation formula of the short-time abrupt change chain reaction association coefficient of the ith debugging data of the 1 st SF6 circuit breaker is as follows:
In the method, in the process of the invention, Is the synchronous linkage debugging change coefficient between the ith and the y debugging data sequences of the 1 st SF6 circuit breaker,/>、/>Short-time abrupt data sequence of ith and yth debugging data sequence of 1 st SF6 circuit breaker,/>, respectivelyIs the sequence/>、/>DTW (Dynamic Time Warping) distance between,/>、/>Are respectively/>、/>Number of short time shock data sequence fragments involved,/>Is a parameter-adjusting factor for preventing denominator from being 0,/>The magnitude of (1) takes the checked value of 0.1,/>Is an exponential function with a natural constant as a base, the DTW distance is a known technology, and the specific calculation process is not repeated;
is the short-time abrupt-change chain reaction correlation coefficient of the ith debugging data of the 1 st SF6 circuit breaker, M is the type number of the debugging data, and is/is 、/>The i-th and y-th debug data sequences of the 1 st SF6 circuit breaker are short-time abrupt significant coefficients, respectively.
Wherein the 1 st debug data of the 1 st SF6 breaker can cause the same or opposite data change of the other types of debug data when the data is suddenly changed, the i th debug data of the 1 st SF6 breaker can cause the y th debug data to generate the same or opposite data change when the data is suddenly changed, the data change conditions of data points of the i th debug data sequence and the y th debug data sequence, which are suddenly changed, are similar, the short time sudden change data sequences of the i th debug data sequence and the y th debug data sequence have the similar distribution characteristics of short time sudden change coefficients,The smaller the value of (1)/>, the first distanceThe smaller the value of (1), the corresponding,/>、/>The closer the number of short-time-shock data sequence fragments involved,/>The closer the value of (2) is to 0,/>The smaller the value of (2); short time shock data sequence/>、/>The more similar the degree of mutation of the short-time debugging collapse coefficients within,The smaller the value of (2); i.e./>The greater the value of the i-th debug data of the 1 st SF6 breaker is, the greater the degree of correlation between the i-th debug data and the other types of debug data when abrupt data changes occur, and the more the data changes of the i-th debug data can reflect whether the 1 st breaker is normally debugged.
Further, the importance degree of each debugging data of each circuit breaker when being cryptographically protected is evaluated based on the short-time sudden change significance coefficient and the short-time sudden change chain reaction association coefficient of each debugging data of each circuit breaker. Calculating an ECC encryption private key adaptation value of an ith debugging data sequence of the 1 st SF6 circuit breaker:
In the method, in the process of the invention, Is debug data sequence/>Index of evaluation of important abnormal data of >/>、/>Debug data sequence/>, respectivelyShort time abrupt change significance coefficient, short time abrupt change chain reaction association coefficient,/>Is a normalization function;
is debug data sequence/> Private key adaptation value of/>Is a rounding function, which is the order of the finite field in the ECC encryption algorithm.
Wherein the debug data sequenceThe more can reflect the debugging abnormality of the 1 st SF6 breaker, the debugging data sequence/>The more obvious the characteristic of the drastic change of the internal data points is,/>The greater the value of (2); the greater the degree of correlation between the ith debug data and the remaining types of debug data of the 1 st SF6 breaker when abrupt data changes occur, the greater the correlation between the ith debug data and the remaining types of debug dataThe larger the value of (2), the debug data sequence/>The greater the importance of the breaker debugging results, the greater the/>The larger the value of i-th debug data should be protected, the higher the complexity at encryption, the greater the/>The greater the value of (2).
Thus, the private key adaptation value of each debugging data sequence of each SF6 circuit breaker is obtained and used for subsequent encryption protection.
And S004, adopting an ECC encryption algorithm to complete encryption processing of the debugging data in the transformer substation engineering based on the private key adaptation value of each debugging data sequence.
According to the steps, private key adaptation values of each debugging data of each SF6 circuit breaker corresponding to the debugging data sequence are respectively obtained. Secondly, respectively taking each debugging data sequence of each SF6 circuit breaker as input, adopting an ECC encryption algorithm to carry out encryption protection based on a private key adaptation value of each debugging data sequence, and adopting parameters of elliptic curves in the ECC encryption algorithm、/>The empirical values are respectively 1 and 1, the modulus length is 23, the base point is (17, 20), the order of the finite field is 7, the output of the ECC encryption algorithm is ciphertext data of each debugging data sequence, the ECC encryption algorithm is a known technology, and the specific process is not repeated.
Based on the steps, ciphertext data of each debugging data sequence of each SF6 circuit breaker are respectively obtained, ciphertext data of all debugging data sequences of all circuit breakers in a transformer substation are stored in a database, and protection of key information of transformer substation engineering data in an electric power engineering is completed.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. The foregoing description of the preferred embodiments of the present invention is not intended to be limiting, but rather, any modifications, equivalents, improvements, etc. that fall within the principles of the present invention are intended to be included within the scope of the present invention.
Claims (5)
1. The key information protection method for the power engineering data is characterized by comprising the following steps of:
acquiring a debugging data sequence of each SF6 circuit breaker in a transformer substation project;
Determining a short-time debugging shock coefficient of each data point in each debugging data sequence of each SF6 circuit breaker based on the possibility that each data point changes suddenly in a short time; determining a short-time sudden change significant coefficient of each debugging data sequence based on a dividing result of the short-time sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker;
Determining a short-time abrupt change chain reaction association coefficient of each debugging data sequence of each SF6 circuit breaker based on chain reaction characteristics caused by the change of various debugging data of each SF6 circuit breaker in a short time; the method comprises the steps that a private key adaptation value of a debugging data sequence is adaptively determined based on a short-time sudden change significant coefficient and a short-time sudden change chain reaction association coefficient of each debugging data sequence of each SF6 circuit breaker;
Adopting an ECC encryption algorithm to complete encryption processing of debugging data in the transformer substation engineering based on the private key adaptation value;
The method for determining the short-time debugging sudden change coefficient of each data point based on the possibility that each data point in each debugging data sequence of each SF6 circuit breaker is suddenly changed in a short time comprises the following steps:
determining a first product factor based on a short-time data sequence taken by each data point in each debug data sequence of each SF6 circuit breaker;
taking a first-order difference processing result of a short-time data sequence taken by each data point in each debugging data sequence of each SF6 circuit breaker as a short-time change rate sequence of each data point;
Calculating the average value of the accumulation results of the absolute value of the difference value of each element in the short-time change rate sequence and the average value of all elements in the short-time change rate sequence, and taking the calculation result taking the natural constant as a base number and the average value as an index as a second product factor;
The short-time debugging sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker consists of a first product factor and a second product factor, wherein the short-time debugging sudden change coefficient is in direct proportion to the first product factor and the second product factor respectively;
The method for determining the short-time sudden change significant coefficient of each debugging data sequence based on the dividing result of the short-time sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker comprises the following steps:
Determining a division result of each debugging data sequence of each SF6 circuit breaker based on the short-time debugging sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker;
Taking the average value of the squares of the differences between the short-time debugging sudden change coefficient averages of all data points in any two short-time sudden change data sequence fragments in the dividing result of each debugging data sequence of each SF6 circuit breaker, which is accumulated twice on the dividing result, as a long-term debugging stability coefficient of each debugging data sequence;
Taking the sum of the average value of the accumulated result and 0.1 of the absolute value of the difference value of the hurst index and 0.5 of all elements in each short-time shock data sequence segment in the dividing result of each debugging data sequence of each SF6 circuit breaker as a denominator;
Taking the product of the ratio of the long-term debugging stability coefficient of each debugging data sequence to the denominator and the number of short-time abrupt change data sequence fragments in the dividing result of each debugging data sequence of each SF6 circuit breaker as the short-time abrupt change significant coefficient of each debugging data sequence;
The method for determining the short-time sudden change chain reaction association coefficient of each debugging data sequence of each SF6 circuit breaker based on the chain reaction characteristics caused by the short-time change of various debugging data of each SF6 circuit breaker comprises the following steps:
Taking the sum of the distance measurement result between each debugging data sequence of each SF6 circuit breaker and the short-time abrupt change data sequence of any one of the rest debugging data sequences and 0.1 as a first distance;
Taking a natural constant as a base, taking the product of the first distance and the calculation result of which the absolute value of the difference value between the short-time shock data sequence fragments corresponding to the short-time shock data sequences of the two debugging data sequences of each SF6 circuit breaker is an index as a synchronous linkage debugging change coefficient between the two debugging data sequences of each SF6 circuit breaker;
Taking the sum of the absolute value of the short-time abrupt change significant coefficient difference value between each debugging data sequence and any one of the rest of the debugging data sequences of each SF6 circuit breaker and 0.1 as a second distance, and taking the average value of the accumulated result of the inverse product of the synchronous linkage debugging change coefficient between each debugging data sequence and any one of the rest of the debugging data sequences and the second distance on all the debugging data sequences of each SF6 circuit breaker as the short-time abrupt change linkage reaction association coefficient of each debugging data sequence of each SF6 circuit breaker;
The method for determining the first product factor based on the short-time data sequence taken by each data point in each debugging data sequence of each SF6 circuit breaker comprises the following steps:
taking a sequence segment taken by taking each data point in each debugging data sequence of each SF6 circuit breaker as a central point as a short-time data sequence of each data point;
Taking the acquisition time and the value of the element corresponding to the element in the short-time data sequence of each data point as the horizontal coordinate and the vertical coordinate respectively, taking the short-time data sequence of each data point as input, acquiring the slope of the fitting straight line corresponding to the short-time data sequence of each data point by adopting a linear fitting algorithm, and taking the absolute value of the slope as a first product factor;
The method for determining the division result of each debugging data sequence of each SF6 circuit breaker based on the short-time debugging sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker comprises the following steps:
the method comprises the steps that a sequence obtained by replacing a short-time debugging sudden change coefficient of each data point in each debugging data sequence of each SF6 circuit breaker with a data value of each data point is used as a short-time sudden change data sequence of each debugging data sequence of each SF6 circuit breaker;
and taking the short-time abrupt change data sequence of each debugging data sequence of each SF6 circuit breaker as input, acquiring abrupt change points in the short-time abrupt change data sequence by adopting an abrupt change point detection algorithm, taking all the abrupt change points, the first element and the last element in the short-time abrupt change data sequence as a segmentation point, and taking a sequence consisting of elements between any two adjacent segmentation points as a short-time abrupt change data sequence segment.
2. The method for protecting key information of power engineering data according to claim 1, wherein the method for obtaining the debug data sequence of each SF6 breaker in the substation engineering is as follows:
Acquiring the gas density, the gas pressure, the internal temperature and the current of an opening and closing coil of each SF6 circuit breaker by using a gas sensor, a pressure sensor, a temperature sensor and a current sensor respectively;
For any debugging data, taking collected data of the same debugging data of all SF6 circuit breakers as input, and carrying out normalization processing by adopting a data normalization method; and taking a sequence formed by normalization results of the collected data of each debugging data of each SF6 circuit breaker according to time sequence as a debugging data sequence of each debugging data of each SF6 circuit breaker.
3. The method for protecting key information of electric power engineering data according to claim 1, wherein the method for adaptively determining the private key adaptation value of each debug data sequence based on the short-time sudden change significant coefficient and the short-time sudden change chain reaction association coefficient of each debug data sequence of each SF6 breaker is as follows:
Taking the normalization result of the short-time sudden change significant coefficient and the short-time sudden change chain reaction association coefficient product of each debugging data sequence of each SF6 circuit breaker as an important abnormal data evaluation index of each debugging data sequence of each SF6 circuit breaker;
a private key adaptation value for each debug data sequence is determined based on an important anomaly data evaluation index for the debug data sequence for each SF6 circuit breaker.
4. A method for protecting key information of electrical engineering data according to claim 3, wherein the method for determining the private key adaptation value of each debug data sequence based on the important abnormal data evaluation index of each debug data sequence of each SF6 circuit breaker is as follows:
and rounding the product of the important abnormal data evaluation index and the order of the finite field in the ECC algorithm based on each debugging data sequence of each SF6 circuit breaker to obtain a private key adaptation value of the debugging data sequence.
5. The method for protecting key information of power engineering data according to claim 1, wherein the method for encrypting the debug data in the substation engineering based on the private key adaptation value by adopting the ECC encryption algorithm is as follows:
And taking each debugging data sequence of each SF6 circuit breaker as an object to be encrypted, and obtaining ciphertext data of each debugging data sequence of each SF6 circuit breaker in the transformer substation engineering by adopting an ECC encryption algorithm based on a private key adaptation value of the debugging data sequence.
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