CN117291474A - Electric power information safety protection management system based on internet - Google Patents
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Abstract
The invention relates to the technical field of power information, which is used for solving the problems that the existing power information and the abnormal behavior of a power grid and power equipment cannot be clarified, the occurrence risk of a security event is increased, the integrity of data backup cannot be guaranteed, the loss risk of the power information is increased, and the stable operation of a power system cannot be guaranteed. According to the invention, the states of power grid operation, power equipment and data backup are defined by acquiring the power information data of different layers and adopting a data processing mode, and the loss of a safety event to a power enterprise is reduced to the greatest extent by corresponding regulation and control operation, so that a basis is provided for the stable operation of a power system.
Description
Technical Field
The invention relates to the technical field of power information, in particular to an internet-based power information safety protection management system.
Background
In this time background, electric power energy has become an essential energy source in life of people, and the electric power energy is directly related to life and work of people and industrial and agricultural production. Therefore, safety protection management using a power grid and various types of power equipment as main carriers in a power system becomes particularly important.
However, when the existing safety protection management is performed on the power system, the power information of the power grid cannot be deeply determined, so that the abnormal behavior of the power grid cannot be accurately analyzed, and the running stability of the power grid cannot be ensured;
the operation state of the power equipment cannot be judged and analyzed, so that the early warning management cannot be carried out on the safety event existing in the power equipment;
the integrity of the power information data backup cannot be judged and analyzed, the risk of loss of the power information is increased, the safety of the power information cannot be guaranteed, and the stable operation of a power system cannot be guaranteed.
In order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to provide an electric power information safety protection management system based on the Internet.
The aim of the invention can be achieved by the following technical scheme: an internet-based power information security protection management system, comprising: the system comprises a data acquisition unit, a cloud database, a power grid operation safety analysis unit, a power equipment safety analysis unit, a data backup safety analysis unit, a power information safety protection unit and a management terminal;
the data acquisition unit is used for acquiring power grid operation information, power equipment information and power backup data information in a target power system and respectively transmitting the power grid operation information, the power equipment information and the power backup data information to the power grid operation safety analysis unit, the power equipment safety analysis unit and the data backup safety analysis unit;
the power grid operation safety analysis unit is used for monitoring power grid operation information in the target power system, so that the power grid operation state in the target power system is analyzed, and the abnormal state of the power grid of the target power system is obtained;
the power equipment safety analysis unit is used for monitoring power equipment information in the target power system, so that the power equipment state of the target power system is analyzed, and the abnormal state of the power equipment of the target power system is obtained;
the data backup safety analysis unit is used for monitoring the power backup data information in the target power system, so as to analyze the power backup state of the target power system and obtain the data backup abnormal state of the target power system;
the power information safety protection unit is used for carrying out protection, regulation and control training treatment on the abnormal state of the power grid of the target power system, the abnormal state of the power equipment and the abnormal state of the data backup, and carrying out feedback description through the management terminal;
the cloud database is used for storing a power grid running state judging and grading table of the target power system, storing a power equipment state judging and grading table of the target power system, storing a data backup state judging and grading table of the target power system, and storing a backup frequency regulation table, a backup duration regulation table and a backup success rate regulation table of the target power system.
Preferably, the monitoring of the grid operation information in the target power system includes the following specific monitoring process:
equally dividing a period of time by i time points, and i=1, 2,3 … … n1;
monitoring the power load value of the target power grid at each time point, taking time as an abscissa, taking the power load value as an ordinate, establishing a power dynamic coordinate system, and drawing the power load value of the target power grid for a period of time on the power dynamic coordinate system, thereby obtaining a power load broken line of the target power grid;
calculating the total included angle between the power load broken line and the horizontal line of the target power grid, recording the total included angle as alpha, performing physical quantity conversion on the total included angle of the target power grid, and obtaining a load coefficient dfh of the target power grid according to a formula dfh =alpha×ζ1, wherein ζ1 is a conversion factor coefficient representing the total included angle, and ζ1 is a natural number larger than 0.
Preferably, the analyzing the running state of the power grid in the target power system specifically includes the following steps:
acquiring a load coefficient, a voltage fluctuation value, a frequency fluctuation value and an instantaneous fault frequency in grid operation information of a grid in a target power system, calibrating the load coefficient, the voltage fluctuation value, the frequency fluctuation value and the instantaneous fault frequency as dfh, ub, pb and gc respectively, carrying out formulated analysis on the load coefficient, the voltage fluctuation value, the frequency fluctuation value and the instantaneous fault frequency, and obtaining a grid operation coefficient pgv of the target power system according to a set formula pgv =δ1× dfh +δ2×ub+δ3×pb+δ4×gc, wherein δ1, δ2, δ3 and δ4 are weight factor coefficients of the load coefficient, the voltage fluctuation value, the frequency fluctuation value and the instantaneous fault frequency respectively, and δ1, δ2, δ3 and δ4 are natural numbers larger than 0;
comparing, matching and analyzing the power grid operation coefficient of the target power system with a power grid operation state judgment hierarchical table stored in a cloud database, so as to obtain power grid operation state grades of the target power system, wherein the obtained power grid operation coefficient of each target power system corresponds to one power grid operation state grade, and the power grid operation state grade comprises a power grid priority feedback grade, a power grid middle feedback grade and a power grid secondary feedback grade;
and the power grid intermediate feedback level and the power grid secondary feedback level are sent to the power information safety protection unit for protection, regulation and training treatment, and specifically:
triggering a monitoring period instruction for shortening k1 orders according to the received power grid mid-level feedback level;
triggering a monitoring period instruction for shortening k2 orders according to the received secondary feedback level of the power grid.
Preferably, the monitoring of the power equipment information of the target power system includes the following specific monitoring process:
monitoring voltage abnormality frequency, current abnormality frequency and power factor of all power equipment in a target power system in real time within a period of time, comprehensively analyzing the voltage abnormality frequency, the current abnormality frequency and the power factor, and according to a set formulaThe electrical coefficients of the individual electrical power units are thus obtained, wherein j=1, 2,3 … … n2, uyc j Represents the voltage anomaly frequency of the jth power device iyc j Indicating the abnormal frequency of the current of the jth power equipment, gly j The power factor of the j-th power equipment is represented, and gamma 1, gamma 2 and gamma 3 are error factor coefficients of voltage abnormal frequency, current abnormal frequency and power factor respectively;
monitoring the thermal anomaly difference value, vibration value and noise value of all power equipment in a target power system in real time within a period of time, and calibrating the thermal anomaly difference value, vibration value and noise value as rc respectively j 、zd j And zs j And normalized, according to the set formula mch j ＝ρ1×rc j +ρ2×zd j +ρ3×zs j Thereby obtaining the mechanical coefficient mch of each power device in the target power system j Wherein ρ1, ρ2 and ρ3 are normalization factors of the thermal anomaly difference, the vibration value and the noise value, respectively, and ρ1, ρ2 and ρ3 are natural numbers greater than 0;
the heating condition of the power equipment is obtained through a thermal infrared image technology, the temperature distribution condition of the surface of the power equipment is shot through an infrared camera, the damage area in the insulating layer is extracted, the extracted damage area and the service life are comprehensively analyzed, and according to a set formula slv i ＝e1×sq j +e2×ag j Thereby obtaining the insulation coefficient slv of each power equipment j Wherein sq j Represents the damaged area, ag, of the insulating layer of the power equipment j And e1 and e2 are weight factor coefficients of the damaged area and the service life, and e1 > e2 > 0.
Preferably, the analyzing the state of the power equipment of the target power system specifically includes the following steps:
the electric coefficient, the mechanical coefficient and the insulation coefficient in the electric equipment information of all electric equipment in the target electric system are comprehensively analyzed, and the three data are comprehensively analyzed according to a set formulaObtaining a power equipment feedback coefficient bax of a target power system, wherein e is a constant, ω1, ω2 and ω3 are respectively weight factor coefficients of an electrical coefficient, a mechanical coefficient and an insulation coefficient, and ω1, ω2 and ω3 are natural numbers larger than 0;
comparing and matching the power equipment feedback coefficients of the target power system with a power equipment state judgment hierarchical table stored in a cloud database, thereby obtaining power equipment feedback levels of the target power system, wherein the obtained power equipment feedback coefficients of each target power system correspond to one power equipment feedback level, and the power equipment feedback levels comprise a top-grade power equipment level, a good power equipment level, a general power equipment level and a dangerous power equipment level;
and the general power equipment grade and the dangerous power equipment grade are sent to the power information safety protection unit for protection, regulation and control training treatment, and the specific steps are as follows:
when the grade of the general power equipment is received, the text word of 'the power equipment in the target power system has a fault and needs maintenance or replacement operation' is sent to the management terminal for display and explanation;
when the dangerous power equipment grade is received, the text word of 'the power equipment in the target power system has serious faults and needs to be immediately stopped and emergency maintenance operation' is sent to the management terminal for display description.
Preferably, the monitoring of the power backup data information of the target power system specifically includes the following monitoring process:
acquiring the actual file data quantity, the actual compression ratio and the actual recovery time in the electric power backup data information of the target electric power system, respectively calibrating the actual file data quantity, the actual compression ratio and the actual recovery time into fvd, aml and rct, carrying out formulated analysis on the actual file data quantity, the actual compression ratio and the actual recovery time, and carrying out formulated analysis according to a set formulaThereby obtaining the backup success rate of the target power system, wherein fvd * Representing referencesFile data volume aml * Represents the reference compression ratio, rct * Referring to the restoration time, λ1, λ2, and λ3 are correction factor coefficients of the actual file data amount, the actual compression ratio, and the actual restoration time, respectively, and λ1, λ2, and λ3 are natural numbers greater than 0.
Preferably, the analyzing the power backup status of the target power system specifically includes the following steps:
acquiring backup frequency, backup duration and backup success rate in power backup data information in a target power system;
setting a backup frequency standard threshold, a backup time length standard threshold and a backup success rate standard threshold which correspond to the backup frequency, the backup time length and the backup success rate in sequence, comparing each electric power backup data index with a corresponding preset standard threshold in sequence, and carrying out data assignment analysis to obtain assignment scores of each electric power backup data index;
superposing and analyzing assignment scores of three power backup data indexes to obtain a backup data total value of a target power system, recording the backup data total value as sum, performing physical quantity conversion on the backup data total value of the target power system, and obtaining a data backup coefficient bfw of the target power system according to a formula bfw=sum×ζ2, wherein ζ2 is a conversion factor coefficient for representing the backup data total value, and ζ2 is a natural number larger than 0;
comparing and matching the data backup coefficient of the target power system with a data backup state judgment hierarchical table stored in a cloud database, thereby obtaining data backup levels of the target power system, wherein the obtained data backup coefficient of each target power system corresponds to one data backup level, and the data backup levels comprise an excellent data backup level, a normal data backup level and a secondary data backup level;
and the secondary data backup level is sent to the electric power information safety protection unit for protection, regulation and control training treatment, and specifically:
three power backup data indexes of a target power system are called, and differences between the three power backup data indexes and corresponding preset standard thresholds are calculated respectively, so that a backup frequency difference value, a backup duration difference value and a backup success rate difference value are obtained;
and carrying out comparison, matching and analysis on the backup frequency difference value, the backup time length difference value and the backup success rate difference value and the backup frequency regulation table, the backup time length regulation table and the backup success rate regulation table stored in the cloud database, thereby obtaining the backup frequency regulation quantity, the backup time length regulation quantity and the backup success rate regulation quantity of the target power system.
The invention has the beneficial effects that:
according to the invention, the data parameters of the load state in the power grid operation information are defined by adopting the modes of data division, coordinate system analysis and physical quantity conversion, and based on the data parameters, other parameters of the power grid operation are combined, the comprehensive judgment and analysis of the power grid operation state of the power system are realized by utilizing the modes of formulation analysis and database data comparison and matching, the abnormal state of the power grid is effectively output, and the management and control of the abnormal data of the power grid in the power system are realized by shortening the monitoring period of corresponding magnitude, so that the stability of the power grid operation is ensured, and powerful data support is provided for the normal operation and the optimal scheduling of the power system;
the data parameter information of the power equipment of the power system is defined through the comprehensive data analysis, the normalization analysis and the thermal infrared imaging technology, and based on the data parameter information, the running state of the power equipment in the power system is clearly judged and analyzed through a data integration analysis and data matching mode, and abnormal conditions of the power equipment in the power system are managed in batches through a signal output and text description mode;
the method has the advantages that the data backup states of the power information data in the power system are defined through the modes of data item-by-item comparison, assignment summation and data conversion, the abnormal grades of the data backup are defined through the mode of hierarchical calibration, on the basis of the abnormal grades, the regulation and control quantity of each index of the data backup is defined through the mode of data difference and item-by-item substitution comparison, the effective regulation and control of the abnormal power information data backup is further achieved, the backup safety of the power information data is guaranteed, the risk of power information data loss is reduced, the loss of a safety event to a power enterprise is reduced to the greatest extent, and the basis is provided for the stable operation of the power system.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is an internet-based power information security protection management system, comprising: the system comprises a data acquisition unit, a cloud database, a power grid operation safety analysis unit, a power equipment safety analysis unit, a data backup safety analysis unit, a power information safety protection unit and a management terminal.
It is to be noted that the data acquisition unit, the power grid operation safety analysis unit, the power equipment safety analysis unit and the data backup safety analysis unit are respectively connected with the cloud database, and the power grid operation safety analysis unit, the power equipment safety analysis unit and the data backup safety analysis unit are respectively connected with the power information safety protection unit.
The data acquisition unit is used for acquiring power grid operation information, power equipment information and power backup data information in the target power system and respectively transmitting the power grid operation information, the power equipment information and the power backup data information to the power grid operation safety analysis unit, the power equipment safety analysis unit and the data backup safety analysis unit.
The cloud database is used for storing a power grid running state judging and grading table of the target power system, storing a power equipment state judging and grading table of the target power system, storing a data backup state judging and grading table of the target power system, and storing a backup frequency regulation table, a backup duration regulation table and a backup success rate regulation table of the target power system.
The power grid operation safety analysis unit is used for monitoring power grid operation information in a target power system, and the specific monitoring process is as follows:
equally dividing a period of time by i time points, and i=1, 2,3 … … n1;
monitoring the power load value of the target power grid at each time point, taking time as an abscissa, taking the power load value as an ordinate, establishing a power dynamic coordinate system, and drawing the power load value of the target power grid for a period of time on the power dynamic coordinate system, thereby obtaining a power load broken line of the target power grid;
calculating a total included angle between an electric load broken line and a horizontal line of a target power grid, marking the total included angle as alpha, converting the physical quantity of the target power grid, and obtaining a load coefficient dfh of the target power grid according to a formula dfh =alpha×ζ1, wherein ζ1 is a conversion factor coefficient representing the total included angle, ζ1 is a natural number larger than 0, and the conversion factor coefficient is a data coefficient for converting the physical quantity of the total included angle into a load degree expression physical quantity;
the power grid running state in the target power system is analyzed, and the specific analysis process is as follows:
acquiring a load coefficient, a voltage fluctuation value, a frequency fluctuation value and an instantaneous fault frequency in grid operation information of a grid in a target power system, calibrating the load coefficient, the voltage fluctuation value, the frequency fluctuation value and the instantaneous fault frequency as dfh, ub, pb and gc respectively, carrying out formulated analysis on the load coefficient, the voltage fluctuation value, the frequency fluctuation value and the instantaneous fault frequency, and obtaining a grid operation coefficient pgv of the target power system according to a set formula pgv =δ1× dfh +δ2×ub+δ3×pb+δ4×gc, wherein δ1, δ2, δ3 and δ4 are weight factor coefficients of the load coefficient, the voltage fluctuation value, the frequency fluctuation value and the instantaneous fault frequency respectively, and the weight factor coefficients are used for balancing the duty ratio weight of each item of data in the formulation calculation so as to promote the accuracy of a calculation result, and δ1, δ2, δ3 and δ4 are natural numbers larger than 0;
it should be noted that, the voltage fluctuation value is used for feeding back the voltage running steady state in the power system, the frequency fluctuation value is used for representing the data value of the fluctuation condition of the power transmission frequency in the power system, the instantaneous fault frequency is used for representing the occupation ratio of the instantaneous fault times in the power system in unit time, and the instantaneous fault refers to the fault that the power grid suddenly appears, such as lightning stroke, short circuit, etc.;
comparing, matching and analyzing the power grid operation coefficient of the target power system with a power grid operation state judgment hierarchical table stored in a cloud database, so as to obtain power grid operation state grades of the target power system, wherein the obtained power grid operation coefficient of each target power system corresponds to one power grid operation state grade, and the power grid operation state grade comprises a power grid priority feedback grade, a power grid middle feedback grade and a power grid secondary feedback grade;
the obtained power grid intermediate feedback level or the power grid secondary feedback level is marked as an abnormal state of the power grid;
and the power grid intermediate feedback level and the power grid secondary feedback level are sent to the power information safety protection unit for protection, regulation and training treatment, and specifically:
triggering a monitoring period instruction for shortening the k1 order according to the received power grid mid-level feedback level, namely assuming that the monitoring period for analyzing the power grid running state of the target power grid is t1 times in unit time, and setting the monitoring period for analyzing the power grid running state of the target power grid as (t 1-k 1) times in unit time according to the triggered monitoring period instruction for shortening the k1 order;
triggering a monitoring period instruction for shortening k2 orders according to the received power grid secondary feedback level, namely assuming that a monitoring period for analyzing the power grid running state of a target power grid is t1 times in unit time, setting the monitoring period for analyzing the power grid running state of the target power grid as (t 1-k 2) times in unit time according to the triggered monitoring period instruction for shortening k2 orders, wherein k1 is smaller than k2, and setting specific numerical values of t1, k1 and k2 are specifically set by a person skilled in the art in specific cases;
and feedback explanation is carried out through the management terminal after the protection regulation training treatment of the power grid of the target power system is completed.
The power equipment safety analysis unit is used for monitoring power equipment information in the target power system, and the specific monitoring process is as follows:
monitoring voltage abnormality frequency, current abnormality frequency and power factor of all power equipment in a target power system in real time within a period of time, comprehensively analyzing the voltage abnormality frequency, the current abnormality frequency and the power factor, and according to a set formulaThe electrical coefficients of the individual electrical power units are thus obtained, wherein j=1, 2,3 … … n2, uyc j Represents the voltage anomaly frequency of the jth power device iyc j Indicating the abnormal frequency of the current of the jth power equipment, gly j The power factor of the j-th power equipment is represented, gamma 1, gamma 2 and gamma 3 are error factor coefficients of voltage abnormal frequency, current abnormal frequency and power factor respectively, and the error factor coefficients are used for improving the measurement accuracy of the voltage abnormal frequency, the current abnormal frequency and the power factor in each measured value, so that errors in formula calculation are reduced;
it should be noted that, the abnormal voltage frequency refers to the ratio of the number of times of occurrence of abnormal voltage of the power equipment in a period of time, the abnormal current frequency refers to the ratio of the number of occurrence of abnormal current of the power equipment in a period of time, the power factor refers to the ratio of effective power to apparent power of the power equipment in a period of time, and when the expression numerical value of the power factor is larger, the better the operation of the power equipment is illustrated;
monitoring the thermal anomaly difference value, vibration value and noise value of all power equipment in a target power system in real time within a period of time, and calibrating the thermal anomaly difference value, vibration value and noise value as rc respectively j 、zd j And zs j And normalized, according to the set formula mch j ＝ρ1×rc j +ρ2×zd j +ρ3×zs j Thereby obtaining the mechanical coefficient mch of each power device in the target power system j Wherein ρ1, ρ2 and ρ3 are normalized factors of the thermal anomaly difference, vibration value and noise value, respectively, and normalized factorsThe coefficient used for representing converting each item of data of the thermal anomaly difference value, the vibration value and the noise value into a dimensionless form, wherein ρ1, ρ2 and ρ3 are natural numbers larger than 0;
the heating condition of the power equipment is obtained through a thermal infrared image technology, the temperature distribution condition of the surface of the power equipment is shot through an infrared camera, the damage area in the insulating layer is extracted, the extracted damage area and the service life are comprehensively analyzed, and according to a set formula slv i ＝e1×sq j +e2×ag j Thereby obtaining the insulation coefficient slv of each power equipment j Wherein sq j Represents the damaged area, ag, of the insulating layer of the power equipment j The service life of the insulating layer of the power equipment is represented, e1 and e2 are respectively the damaged area and the weight factor coefficient of the service life, and e1 is more than e2 is more than 0;
the power equipment state of the target power system is analyzed, and the specific analysis process is as follows:
the electric coefficient, the mechanical coefficient and the insulation coefficient in the electric equipment information of all electric equipment in the target electric system are comprehensively analyzed, and the three data are comprehensively analyzed according to a set formulaObtaining a power equipment feedback coefficient bax of a target power system, wherein e is a constant, ω1, ω2 and ω3 are respectively weight factor coefficients of an electrical coefficient, a mechanical coefficient and an insulation coefficient, and ω1, ω2 and ω3 are natural numbers larger than 0;
comparing and matching the power equipment feedback coefficients of the target power system with a power equipment state judgment hierarchical table stored in a cloud database, thereby obtaining power equipment feedback levels of the target power system, wherein the obtained power equipment feedback coefficients of each target power system correspond to one power equipment feedback level, and the power equipment feedback levels comprise a top-grade power equipment level, a good power equipment level, a general power equipment level and a dangerous power equipment level;
the obtained general power equipment grade and dangerous power equipment grade are marked as abnormal states of the power equipment;
and the general power equipment grade and the dangerous power equipment grade are sent to the power information safety protection unit for protection, regulation and control training treatment, and the specific steps are as follows:
when the grade of the general power equipment is received, the text word of 'the power equipment in the target power system has a fault and needs maintenance or replacement operation' is sent to the management terminal for display and explanation;
when the dangerous power equipment grade is received, the text word of 'the power equipment in the target power system has serious faults and needs to be immediately stopped and emergency maintenance operation' is sent to the management terminal for display description.
The data backup safety analysis unit is used for monitoring the power backup data information in the target power system, and the specific monitoring process is as follows:
acquiring the actual file data quantity, the actual compression ratio and the actual recovery time in the electric power backup data information of the target electric power system, respectively calibrating the actual file data quantity, the actual compression ratio and the actual recovery time into fvd, aml and rct, carrying out formulated analysis on the actual file data quantity, the actual compression ratio and the actual recovery time, and carrying out formulated analysis according to a set formulaThereby obtaining the backup success rate of the target power system, wherein fvd * Representing the amount of reference file data aml * Represents the reference compression ratio, rct * The reference reduction time is represented, λ1, λ2 and λ3 are correction factor coefficients of the actual file data quantity, the actual compression ratio and the actual reduction time respectively, and λ1, λ2 and λ3 are natural numbers larger than 0, and the correction factor coefficients are used for correcting deviation of various parameters in the formula calculation process, so that more accurate parameter data are calculated;
it should be noted that, the actual file data size is used to represent the size of the data size of the power information backup file in the power system; the actual compression ratio is used for representing the compression ratio of the power information backup file in the power system, and when the compression ratio is abnormal, the behavior that the power information backup file is damaged or tampered can be described, so that the success rate of data backup is low; the actual restoration time is used for representing the time required for restoring the power information backup file in the power system, and if the restoration time is long, the availability and the success rate of the backup data are low;
the power backup state of the target power system is analyzed, and the specific analysis steps are as follows:
acquiring backup frequency, backup duration and backup success rate in power backup data information in a target power system;
setting a backup frequency standard threshold, a backup time length standard threshold and a backup success rate standard threshold which correspond to the backup frequency, the backup time length and the backup success rate in sequence, comparing each electric power backup data index with a corresponding preset standard threshold in sequence, and carrying out data assignment analysis, wherein the specific steps are as follows: when the backup frequency is lower than a preset backup frequency standard threshold, assigning a1 score to the backup frequency index item in the target power system, otherwise, when the backup frequency is equal to or higher than the preset backup frequency standard threshold, assigning a2 score to the backup frequency index item in the target power system, wherein a1 is smaller than a2, and setting specific numerical values of a1 and a2 is specifically set by a person skilled in the art in specific cases;
when the backup time length is higher than a preset backup time length standard threshold value, assigning a1 score to the backup time length index item in the target power system, otherwise, assigning a2 score to the backup time length index item in the target power system when the backup time length is equal to or smaller than the preset backup time length standard threshold value;
when the backup success rate is lower than a preset backup success rate standard threshold value, assigning a backup success rate index item in the target power system as a1 score, otherwise, assigning a backup success rate index item in the target power system as a2 score when the backup success rate is equal to or higher than the preset backup success rate standard threshold value;
thereby obtaining assignment scores of various electric power backup data indexes;
superposing and analyzing assigned scores of three power backup data indexes to obtain a backup data total value of a target power system, recording the backup data total value as sum, performing physical quantity conversion on the backup data total value of the target power system, and obtaining a data backup coefficient bfw of the target power system according to a formula bfw=sum×ζ2, wherein ζ2 is a conversion factor coefficient representing the backup data total value, ζ2 is a natural number larger than 0, and the conversion factor coefficient is a type coefficient for converting the physical quantity of the backup data total value into an expression physical quantity of the backup perfection degree;
comparing and matching the data backup coefficient of the target power system with a data backup state judgment hierarchical table stored in a cloud database, thereby obtaining data backup levels of the target power system, wherein the obtained data backup coefficient of each target power system corresponds to one data backup level, and the data backup levels comprise an excellent data backup level, a normal data backup level and a secondary data backup level;
calibrating the obtained secondary data backup level as a data backup abnormal state;
and the secondary data backup level is sent to the electric power information safety protection unit for protection, regulation and control training treatment, and specifically:
three power backup data indexes of a target power system are called, and differences between the three power backup data indexes and corresponding preset standard thresholds are calculated respectively, so that a backup frequency difference value, a backup duration difference value and a backup success rate difference value are obtained;
performing comparison and matching analysis on the backup frequency difference value, the backup time length difference value and the backup success rate difference value and the backup frequency regulation table, the backup time length regulation table and the backup success rate regulation table stored in the cloud database, thereby obtaining the backup frequency regulation amount, the backup time length regulation amount and the backup success rate regulation amount of the target power system;
wherein, each backup frequency difference value has a backup frequency regulation and control amount corresponding to the backup frequency regulation and control amount in the backup frequency regulation and control table, and each backup time length difference value has a backup time length regulation and control amount corresponding to the backup time length regulation and control amount in the backup time length regulation and control table, and each backup success rate difference value has a backup success rate regulation and control amount corresponding to the backup success rate regulation and control amount in the backup success rate regulation and control table;
and feedback explanation is carried out through the management terminal after the protection, regulation and control training treatment of the data backup of the target power system is completed.
When the method is used, the power grid operation information in the target power system is monitored, the data parameters of the load state in the power grid operation information are defined by adopting the modes of data division, coordinate system analysis and physical quantity conversion, and based on the data parameters, other parameters of the power grid operation are combined, the comprehensive judgment and analysis of the power grid operation state of the power system are realized by utilizing the modes of formulation analysis and database data comparison matching, the abnormal state of the power grid is effectively output, and the management and control of the abnormal data of the power grid in the power system are realized by shortening the monitoring period of corresponding magnitude, so that the stability of the power grid operation is ensured, and powerful data support is provided for the normal operation and the optimal scheduling of the power system;
the method comprises the steps of monitoring power equipment information in a target power system, utilizing data comprehensive analysis, normalization analysis and thermal infrared imaging technology to determine data parameter information of power equipment of the power system, based on the data parameter information, performing clear judgment analysis on the running state of the power equipment in the power system in a data integration analysis and data matching mode, and performing batch management on abnormal conditions of the power equipment in the power system in a signal output and text description mode;
the method is characterized in that the electric power backup data information in a target electric power system is monitored, the modes of data item-by-item comparison, assignment summation and data conversion are adopted, the electric power information data backup state in the electric power system is defined, the abnormal grade of the data backup is defined in a hierarchical calibration mode, on the basis of the abnormal grade, the regulation and control quantity of each index of the data backup is defined in a mode of data difference and item-by-item substitution comparison, effective regulation and control on the electric power information data backup abnormality is further realized, the backup safety of the electric power information data is ensured, the risk of electric power information data loss is reduced, the loss caused by a safety event to an electric power enterprise is reduced to the greatest extent, and the basis is provided for the stable operation of the electric power system.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (7)
1. An internet-based power information security protection management system, comprising:
the data acquisition unit is used for acquiring power grid operation information, power equipment information and power backup data information in a target power system;
the power grid operation safety analysis unit is used for monitoring power grid operation information in the target power system, analyzing the power grid operation state in the target power system and obtaining the abnormal state of the power grid of the target power system;
the power equipment safety analysis unit is used for monitoring power equipment information in the target power system, so that the power equipment state of the target power system is analyzed, and the abnormal state of the power equipment of the target power system is obtained;
the data backup safety analysis unit is used for monitoring the power backup data information in the target power system, so as to analyze the power backup state of the target power system and obtain the data backup abnormal state of the target power system;
the power information safety protection unit is used for carrying out protection, regulation and control training treatment on the abnormal state of the power grid, the abnormal state of the power equipment and the abnormal state of the data backup of the target power system, and carrying out feedback description through the management terminal;
the cloud database is used for storing a power grid running state judging and grading table of the target power system, storing a power equipment state judging and grading table of the target power system, storing a data backup state judging and grading table of the target power system, and storing a backup frequency regulation table, a backup duration regulation table and a backup success rate regulation table of the target power system.
2. The internet-based power information security protection management system according to claim 1, wherein the monitoring of the power grid operation information in the target power system comprises the following specific monitoring process:
equally dividing a period of time by i time points, and i=1, 2,3 … … n1;
monitoring the power load value of the target power grid at each time point, taking time as an abscissa, taking the power load value as an ordinate, establishing a power dynamic coordinate system, and drawing the power load value of the target power grid for a period of time on the power dynamic coordinate system, thereby obtaining a power load broken line of the target power grid;
and calculating the total included angle between the power load broken line and the horizontal line of the target power grid, and performing physical quantity conversion on the total included angle of the target power grid, thereby obtaining the load coefficient of the target power grid.
3. The internet-based power information safety protection management system according to claim 1, wherein the analysis of the power grid operation state in the target power system is performed by the following specific analysis process:
acquiring a load coefficient, a voltage fluctuation value, a frequency fluctuation value and an instantaneous fault frequency in grid operation information of a grid in a target power system, and carrying out formulated analysis on the load coefficient, the voltage fluctuation value, the frequency fluctuation value and the instantaneous fault frequency, thereby acquiring the grid operation coefficient of the target power system;
comparing, matching and analyzing the power grid operation coefficient of the target power system with a power grid operation state judgment hierarchical table stored in a cloud database, so as to obtain power grid operation state grades of the target power system, wherein the obtained power grid operation coefficient of each target power system corresponds to one power grid operation state grade, and the power grid operation state grade comprises a power grid priority feedback grade, a power grid middle feedback grade and a power grid secondary feedback grade;
and the power grid intermediate feedback level and the power grid secondary feedback level are sent to the power information safety protection unit for protection, regulation and training treatment, and specifically:
triggering a monitoring period instruction for shortening k1 orders according to the received power grid mid-level feedback level;
triggering a monitoring period instruction for shortening k2 orders according to the received secondary feedback level of the power grid.
4. The internet-based power information security protection management system according to claim 1, wherein the monitoring of the power equipment information of the target power system is performed by the following specific monitoring process:
monitoring voltage abnormal frequency, current abnormal frequency and power factor of all power equipment in a target power system in real time, and comprehensively analyzing the voltage abnormal frequency, the current abnormal frequency and the power factor, thereby obtaining the electrical coefficient of each power equipment;
monitoring the thermal anomaly differences, vibration values and noise values of all the electric devices in the target electric power system in real time, and carrying out normalized analysis on the thermal anomaly differences, vibration values and noise values, so as to obtain the mechanical coefficients of all the electric devices in the target electric power system;
the heating condition of the power equipment is obtained through a thermal infrared image technology, the temperature distribution condition of the surface of the power equipment is shot through an infrared camera, the damage area inside the insulating layer is extracted, the extracted damage area and the service life are comprehensively analyzed, and therefore the insulation coefficient of each power equipment is obtained.
5. The internet-based power information security protection management system according to claim 1, wherein the analysis of the power equipment status of the target power system is performed by the following specific analysis process:
the method comprises the steps of comprehensively analyzing electrical coefficients, mechanical coefficients and insulation coefficients in power equipment information of all power equipment in a target power system, and comprehensively analyzing three items of data to obtain power equipment feedback coefficients of the target power system;
comparing and matching the power equipment feedback coefficients of the target power system with a power equipment state judgment hierarchical table stored in a cloud database, thereby obtaining power equipment feedback levels of the target power system, wherein the obtained power equipment feedback coefficients of each target power system correspond to one power equipment feedback level, and the power equipment feedback levels comprise a top-grade power equipment level, a good power equipment level, a general power equipment level and a dangerous power equipment level;
and the general power equipment grade and the dangerous power equipment grade are sent to the power information safety protection unit for protection, regulation and control training treatment, and the specific steps are as follows:
when the grade of the general power equipment is received, the text word of 'the power equipment in the target power system has a fault and needs maintenance or replacement operation' is sent to the management terminal for display and explanation;
when the dangerous power equipment grade is received, the text word of 'the power equipment in the target power system has serious faults and needs to be immediately stopped and emergency maintenance operation' is sent to the management terminal for display description.
6. The internet-based power information security protection management system according to claim 1, wherein the monitoring of the power backup data information of the target power system comprises the following specific monitoring process:
and acquiring the actual file data quantity, the actual compression ratio, the actual restoration time, the reference file data quantity, the reference compression ratio and the reference restoration time in the electric power backup data information of the target electric power system, and carrying out formulated analysis on the actual file data quantity, the actual compression ratio, the actual restoration time, the reference file data quantity, the reference compression ratio and the reference restoration time, thereby obtaining the backup success rate of the target electric power system.
7. The internet-based power information security protection management system according to claim 1, wherein the analyzing the power backup status of the target power system comprises the following specific analysis steps:
acquiring backup frequency, backup duration and backup success rate in power backup data information in a target power system;
setting a backup frequency standard threshold, a backup time length standard threshold and a backup success rate standard threshold which correspond to the backup frequency, the backup time length and the backup success rate in sequence, comparing each electric power backup data index with a corresponding preset standard threshold in sequence, and carrying out data assignment analysis to obtain assignment scores of each electric power backup data index;
performing superposition analysis on assignment scores of the three power backup data indexes to obtain a backup data total value of the target power system, and performing physical quantity conversion on the backup data total value of the target power system to obtain a data backup coefficient of the target power system;
comparing and matching the data backup coefficient of the target power system with a data backup state judgment hierarchical table stored in a cloud database, thereby obtaining data backup levels of the target power system, wherein the obtained data backup coefficient of each target power system corresponds to one data backup level, and the data backup levels comprise an excellent data backup level, a normal data backup level and a secondary data backup level;
and the secondary data backup level is sent to the electric power information safety protection unit for protection, regulation and control training treatment, and specifically:
three power backup data indexes of a target power system are called, and differences between the three power backup data indexes and corresponding preset standard thresholds are calculated respectively, so that a backup frequency difference value, a backup duration difference value and a backup success rate difference value are obtained;
and carrying out comparison, matching and analysis on the backup frequency difference value, the backup time length difference value and the backup success rate difference value and the backup frequency regulation table, the backup time length regulation table and the backup success rate regulation table stored in the cloud database, thereby obtaining the backup frequency regulation quantity, the backup time length regulation quantity and the backup success rate regulation quantity of the target power system.
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