CN113157526B - Log auditing system based on power monitoring system - Google Patents
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- CN113157526B CN113157526B CN202110445503.XA CN202110445503A CN113157526B CN 113157526 B CN113157526 B CN 113157526B CN 202110445503 A CN202110445503 A CN 202110445503A CN 113157526 B CN113157526 B CN 113157526B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a log auditing system based on an electric power monitoring system, which comprises a bayonet terminal data calling module, a log data maintenance processing module and a data state influence summarizing module, wherein the bayonet terminal data calling module is used for extracting data in a transformer substation stored in a bayonet and processing the data so as to judge whether the data has an alarm condition, the log data maintenance processing module is used for carrying out region segmentation on a formed data display picture and carrying out same area superposition comparison, can timely position the alarm data and carry out maintenance processing so as to ensure the safety of the transformer substation during electric energy transmission, the data state influence summarizing module is used for analyzing the influence degree of the segmentation region in the displayed data picture on other regions in the display picture so as to provide guarantee for data analysis in other time periods of the transformer substation, the regional data with high influence degree can be pre-warned.
Description
Technical Field
The invention relates to the technical field of transformer substation data monitoring, in particular to a log auditing system based on a power monitoring system.
Background
The substation power monitoring system monitors the operation of other equipment such as a switch and the like in the operation process of the substation, and can reduce the loss of data such as voltage, current, temperature and the like in the power transformation process through a substation power grid, thereby improving the quality of the substation in the power transformation process.
The log auditing system is used for performing statistical analysis on the safety of mass data in the operation process of the transformer substation, extracting abnormal data and prompting a user to perform detection analysis on the transformer substation, so that the monitoring capability of the data is improved and the safety of the transformer substation in the electric energy transmission process is ensured in the analysis process by using the log auditing system;
the existing log auditing system processes a large amount of data every day, and even abnormal data are detected, workers need to detect alarm positions in the transformer substation one by one, and in the detection process, experienced workers can find out specific alarm positions according to experience, so that the safety of the transformer substation in energy transmission is ensured; but it is difficult for inexperienced staff to distinguish; because the log audit system can mark the corresponding solution when the abnormal problem occurs in the past, but the specific corresponding solution cannot be distinguished due to too much data stored in the platform system, the processing is not timely, and the transformer substation is in danger.
Therefore, a log auditing system based on a power monitoring system is needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a log auditing system based on a power monitoring system, which aims to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a log auditing system based on a power monitoring system comprises a bayonet terminal data retrieving module, a log data maintenance processing module and a data state influence summarizing module, wherein the bayonet terminal data retrieving module is used for retrieving data stored in a transformer substation in a bayonet and processing the data so as to judge whether the data has an alarm condition or not, the log data maintenance processing module is used for carrying out region segmentation on a formed data display picture and carrying out same area superposition comparison, can timely position and timely maintain the alarm data so as to ensure the safety of electric energy transmission in the transformer substation, the data state influence summarizing module is used for analyzing the influence degree of the segmentation region in the displayed data picture on other regions in the display picture so as to provide guarantee for data analysis in other time periods of the transformer substation, therefore, the regional data with high influence degree can be pre-warned.
Further, the bayonet terminal data calling module comprises a bayonet data acquisition unit, a data terminal display unit, a region peak-valley value determination unit and a global data peak-valley value corresponding unit, wherein the bayonet data acquisition unit is used for acquiring log data contents at different moments in the transformer substation and transmitting the acquired data to the data terminal display unit for display, for example: the system comprises a data terminal display unit, a regional peak-valley value determining unit, a global data peak-valley value corresponding unit and a log data maintenance processing module, wherein the data terminal display unit is used for displaying the collected data change of the transformer substation through a line graph so as to more conveniently judge the change degree of the data, the regional peak-valley value determining unit is used for judging the change degree between data peak values and valley value data in different regions, and the global data peak-valley value corresponding unit is used for judging the change degree between the data peak values and the valley value data in the global data so as to analyze whether the change between the different peak values and the valley values can cause the change of the electric quantity or not, and the data are sent to the log data maintenance processing module for analysis processing.
The log data maintenance processing module comprises a data state dividing unit, a historical log data alarm unit, an event state data alarm frequency summarizing unit, a region area calculating unit, a data superposition comparison unit, a method solution corresponding unit, a maintenance early warning unit and an abnormal data dimension terminal storage unit, wherein the data state dividing unit is used for dividing data into a stable region and an unstable region according to the change of the data in the displayed line graph, the stable region and the unstable region judge whether the change difference of peak value data and valley value data is in a standard data range, and if the change difference is not in the standard data range, the region where the data is located is judged as an unstable region and is marked as A; if the variation difference is within the standard data range, judging the area where the data is located as a stable area, and marking as E; the historical log data alarm unit is used for comparing data in different areas with historical data and judging whether log data alarm occurs or not, so that whether the area alarm occurs or not can be analyzed in advance, and the alarm condition can be stopped in time; the area calculation unit is used for judging area formed by each data node in different areas and each time point in one day of the abscissa transformer substation to calculate, can quickly distinguish whether a node in the data line graph alarms or not, and can timely maintain the corresponding station of the transformer substation; the data superposition comparison unit is used for taking the area of the area corresponding to the data node as a first condition, taking the data of the abscissa and the ordinate corresponding to the data node as a second condition for judging the alarm of the data node, and taking the data of the abscissa and the ordinate corresponding to the data node as a condition for judging the similarity of the data node when the first condition and the second condition are simultaneously met, so that the problem of alarm of log data can be solved as soon as possible; the event state data alarming frequency summarizing unit is used for summarizing the frequency of judging the occurrence of early warning of log data in a data line graph, and prompting a user when the early warning frequency in the line graph exceeds a preset frequency so that a worker can quickly locate an alarming position And storing and updating in real time so that the worker can locate and find out the abnormal position in time.
Furthermore, the data state influence summarizing module comprises a data state influence degree analyzing unit and a data probability early warning unit, the data state influence degree analyzing unit is used for judging the influence degree of the data in the h area distributed to the h +1 area data according to the data line graph, so that whether the corresponding data in the area needs to be monitored in advance can be judged, the data safety in the transformer substation is ensured, and the data probability predicting unit is used for judging the influence probability of the area where the log data alarm node is located in the historical record to other areas, so that the safety of data conversion in the transformer substation is ensured.
Further, the step of determining the degree of influence of the data in the area on the data in other areas in the data line graph is as follows:
z1: shown in data line drawingsThe data content is as follows: x1, x2, x3, x4, x5 and x6, and the displayed data content after normalization is as follows:
the data are divided into the following areas according to the variation trend among the data: d1, d2, d3, d4, d 5;
z2: judging the influence degree of the d1 area on the remaining area:
judging the weight value wj of the d1 area to the rest area, and setting wj to wj (j to 1, 2);
z3: judging data areas dn and dw containing log data alarm points in the displayed data line graphs, and when judging that dw-dn is larger than k, judging that the weighted value is wj equal to w3, indicating that the influence degree of the dn area on the dw area is high, namely P (dn) equal to 1, and prompting a worker to maintain the transformer substation in advance; and recursion is carried out, when the dn area is detected to contain less than or equal to 1 log data alarm point, namely P (dn) is equal to 0, wherein: dn and dw are the nth and the w-th regions of the data region allocated in the data polyline, and p (dn) refers to the influence degree of the nth region on the remaining regions.
The area calculation unit calculates the area of each area in the data line graph, and divides the line graph into a plurality of areas according to the change of data, and the formula is as follows:
the conditions satisfied by dividing the polyline into regions are: I-I (n-1) ═ IC,
when W data nodes are detected
When the node meets the above conditions, the node will
Dividing the image into areas;
wherein T is the lower limit value of the abscissa time period of the selected region, T + n is the upper limit value of the abscissa time period of the region, I is the current value of a certain node, I (n-1) is the current value represented by the node before the node, IC is a fixed current difference value, and S is the area formed by the polygonal line and the abscissa in the corresponding region;
comparing the area corresponding to the node with the abnormal data area in the abnormal data dimension terminal storage unit, when the abnormal data dimension terminal storage unit is detected to comprise the same area, further performing area coincidence comparison on an abscissa and an ordinate corresponding to all data nodes in the area and an abscissa and an ordinate having the same area, when the abscissa and the ordinate of the data node are detected to be the same as those of the historical data node, acquiring a specific position in the transformer substation corresponding to the node in the historical data, and sending the specific position to a worker to maintain the data in the transformer substation; otherwise, traversing other data in the abnormal data dimension terminal storage unit.
The data in the transformer substation detected by the log auditing system are voltage, current and temperature respectively.
The method comprises the following steps:
s1: acquiring all data in a bayonet, displaying the data through a line graph, judging the peak-valley value change of different data according to the displayed data, dividing the data into different areas according to the peak-valley value change by a broken line, and taking the peak value and the valley value in each area as abnormal node prediction data;
s2: calculating the area S represented by the broken line in each area, comparing the area represented by each area with historical data in an abnormal data dimension terminal storage unit, simultaneously carrying out coincidence detection on corresponding abscissa and ordinate data, and when the area formed by the broken line and the abscissa is detected to be the same as the historical area and the coordinates corresponding to the abscissa and the ordinate in the data node are the same, acquiring the position of a corresponding detection transformer substation when the broken line historical data alarms, otherwise, carrying out coincidence comparison again;
s3: according to the distributed data broken line areas, when the alarm points are detected in the areas, the influence degree of the areas on other areas is judged to be high, and then workers need to maintain the data of the transformer substation in advance, so that the safety of data transmission in the transformer substation is guaranteed.
Compared with the prior art, the invention has the following beneficial effects:
by using the bayonet terminal data calling module and the log data maintenance processing module, the peak value and the valley value of data can be clearly judged by calling the data of the transformer substation every day and showing the data through the shape of a line graph, and the difference value between the data is calculated and divided into a plurality of areas, so that the states of different data can be distinguished, whether abnormal alarm happens to the data can be reasonably predicted, and the safety of the transformer substation during data operation is protected; meanwhile, the area formed by the broken lines and the abscissa of the data in different areas is calculated and judged, and is calculated with the area of the standard historical data, so that the capability of a log auditing system in positioning abnormal data can be rapidly improved, the position of a transformer substation needing to be maintained can be known in time, and workers can be guaranteed to deal with various alarm problems in time; through the log data maintenance processing module, the problems in the real transformer substation do not need to be removed one by a user, but the problems in the transformer substation can be directly positioned and solved;
meanwhile, the data state influence summarizing module is used, the influence degree of the region on another region can be judged by classifying the data regions in the broken line, and when the influence degree is higher, the transformer substation is timely maintained in advance to prevent the transformer substation from generating problems.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a data broken line schematic diagram of a log auditing system based on a power monitoring system according to the present invention;
FIG. 2 is a schematic diagram of a broken data line of a log auditing system based on a power monitoring system according to the present invention;
fig. 3 is a schematic diagram of the module composition of a log auditing system based on a power monitoring system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides the following technical solutions:
a log auditing system based on a power monitoring system comprises a bayonet terminal data retrieving module, a log data maintenance processing module and a data state influence summarizing module, wherein the bayonet terminal data retrieving module is used for retrieving data stored in a transformer substation in a bayonet and processing the data so as to judge whether the data has an alarm condition or not, the log data maintenance processing module is used for carrying out region segmentation on a formed data display picture and carrying out same area superposition comparison, can timely position and timely maintain the alarm data so as to ensure the safety of electric energy transmission in the transformer substation, the data state influence summarizing module is used for analyzing the influence degree of the segmentation region in the displayed data picture on other regions in the display picture so as to provide guarantee for data analysis in other time periods of the transformer substation, therefore, the regional data with high influence degree can be pre-warned.
Further, the bayonet terminal data calling module comprises a bayonet data acquisition unit, a data terminal display unit, a region peak-valley value determination unit and a global data peak-valley value corresponding unit, wherein the bayonet data acquisition unit is used for acquiring log data contents at different moments in the transformer substation and transmitting the acquired data to the data terminal display unit for display, for example: the system comprises a data terminal display unit, a regional peak-valley value determining unit, a global data peak-valley value corresponding unit and a log data maintenance processing module, wherein the data terminal display unit is used for displaying the collected data change of the transformer substation through a line graph so as to more conveniently judge the change degree of the data, the regional peak-valley value determining unit is used for judging the change degree between data peak values and valley value data in different regions, and the global data peak-valley value corresponding unit is used for judging the change degree between the data peak values and the valley value data in the global data so as to analyze whether the change between the different peak values and the valley values can cause the change of the electric quantity or not, and the data are sent to the log data maintenance processing module for analysis processing.
The log data maintenance processing module comprises a data state dividing unit, a historical log data alarm unit, an event state data alarm frequency summarizing unit, a region area calculating unit, a data superposition comparison unit, a method solution corresponding unit, a maintenance early warning unit and an abnormal data dimension terminal storage unit, wherein the data state dividing unit is used for dividing data into a stable region and an unstable region according to the change of the data in the displayed line graph, the stable region and the unstable region judge whether the change difference of peak value data and valley value data is in a standard data range, and if the change difference is not in the standard data range, the region where the data is located is judged as an unstable region and is marked as A; if the variation difference is within the standard data range, judging the area where the data is located as a stable area, and marking as E; the historical log data alarm unit is used for comparing data in different areas with historical data and judging whether log data alarm occurs or not, so that whether the area alarm occurs or not can be analyzed in advance, and the alarm condition can be stopped in time; the area calculation unit is used for judging area formed by each data node in different areas and each time point in one day of the abscissa transformer substation to calculate, can quickly distinguish whether a node in the data line graph alarms or not, and can timely maintain the corresponding station of the transformer substation; the data superposition comparison unit is used for taking the area of the area corresponding to the data node as a first condition, taking the data of the abscissa and the ordinate corresponding to the data node as a second condition for judging the alarm of the data node, and taking the data of the abscissa and the ordinate corresponding to the data node as a condition for judging the similarity of the data node when the first condition and the second condition are simultaneously met, so that the problem of alarm of log data can be solved as soon as possible; the event state data alarming frequency summarizing unit is used for summarizing the frequency of judging the occurrence of early warning of log data in a data line graph, and prompting a user when the early warning frequency in the line graph exceeds a preset frequency so that a worker can quickly locate an alarming position And storing and updating in real time so that the worker can locate and find out the abnormal position in time.
Furthermore, the data state influence summarizing module comprises a data state influence degree analyzing unit and a data probability early warning unit, the data state influence degree analyzing unit is used for judging the influence degree of the data in the h area distributed to the h +1 area data according to the data line graph, so that whether the corresponding data in the area needs to be monitored in advance can be judged, the data safety in the transformer substation is ensured, and the data probability predicting unit is used for judging the influence probability of the area where the log data alarm node is located in the historical record to other areas, so that the safety of data conversion in the transformer substation is ensured.
Further, the step of determining the degree of influence of the data in the area on the data in other areas in the data line graph is as follows:
z1: the data content displayed in the data line graph is:x1, x2, x3, x4, x5 and x6, and the displayed data content after normalization is as follows:
the data are divided into the following areas according to the variation trend among the data: d1, d2, d3, d4, d 5;
z2: judging the influence degree of the d1 area on the remaining area:
judging the weight value wj of the d1 area to the rest area, and setting wj to wj (j to 1, 2);
z3: judging data areas dn and dw containing log data alarm points in the displayed data line graphs, and when judging that dw-dn is larger than k, judging that the weighted value is wj equal to w3, indicating that the influence degree of the dn area on the dw area is high, namely P (dn) equal to 1, and prompting a worker to maintain the transformer substation in advance; and recursion is carried out, when the dn area is detected to contain less than or equal to 1 log data alarm point, namely P (dn) is equal to 0, wherein: dn and dw are the nth and the w-th areas of the data area distributed in the data broken line, and P (dn) refers to the influence degree of the nth area on the rest areas;
the calculation of the influence degree is to highlight the weight value of the region to the region, when P (d1) ═ wj ═ 0 is detected, the influence degree between regions is not high, the residual data does not need to be checked, when P (d1) ═ wj ═ 1 is detected, the influence degree of the current region to the residual region is judged to be high, the maintenance processing needs to be carried out on the substation, wherein wj refers to the weight value, and the calculation and judgment of P can be influenced according to the grade of the weight value, and the two have complementary functions.
The area calculation unit calculates the area of each area in the data line graph, and divides the line graph into a plurality of areas according to the change of data, and the formula is as follows:
the conditions satisfied by dividing the polyline into regions are: I-I (n-1) ═ IC,
when W data nodes are detected
When the node meets the above conditions, the node will
Dividing the image into areas;
wherein T is the lower limit value of the abscissa time period of the selected region, T + n is the upper limit value of the abscissa time period of the region, I is the current value of a certain node, I (n-1) is the current value represented by the node before the node, IC is a fixed current difference value, and S is the area formed by the polygonal line and the abscissa in the corresponding region;
comparing the area corresponding to the node with the abnormal data area in the abnormal data dimension terminal storage unit, when the abnormal data dimension terminal storage unit is detected to comprise the same area, further performing area coincidence comparison on an abscissa and an ordinate corresponding to all data nodes in the area and an abscissa and an ordinate having the same area, when the abscissa and the ordinate of the data node are detected to be the same as those of the historical data node, acquiring a specific position in the transformer substation corresponding to the node in the historical data, and sending the specific position to a worker to maintain the data in the transformer substation; otherwise, traversing other data in the abnormal data dimension terminal storage unit;
the data state can be effectively classified by judging that I-I (n-1) ═ IC, and the calculation here is to judge whether the data in the area can be used as a forming area, for example, an area E in FIG. 1 can represent an area, but the data in the broken line has fluctuation, and the IC mentioned above is a preset value and can have fluctuation;
The data in the transformer substation detected by the log auditing system are voltage, current and temperature respectively.
The method comprises the following steps:
s1: acquiring all data in a bayonet, displaying the data through a line graph, judging the peak-valley value change of different data according to the displayed data, dividing the data into different areas according to the peak-valley value change by a broken line, and taking the peak value and the valley value in each area as abnormal node prediction data;
s2: calculating the area S represented by the broken line in each area, comparing the area represented by each area with historical data in an abnormal data dimension terminal storage unit, simultaneously carrying out coincidence detection on corresponding abscissa and ordinate data, and when the area formed by the broken line and the abscissa is detected to be the same as the historical area and the coordinates corresponding to the abscissa and the ordinate in the data node are the same, acquiring the position of a corresponding detection transformer substation when the broken line historical data alarms, otherwise, carrying out coincidence comparison again;
s3: according to the distributed data broken line areas, when the alarm points are detected in the areas, the influence degree of the areas on other areas is judged to be high, and then workers need to maintain the data of the transformer substation in advance, so that the safety of data transmission in the transformer substation is guaranteed.
Example (b): a transformer substation is arranged, 10kv voltage is required to be converted into 0.4kv voltage through a transformer and distributed to each distribution network to form industrial voltage 380v, partial data loss can be caused in the transmission process due to the loss of lines, data acquired from a bayonet in each hour is monitored through a log auditing system, the change values of voltage and current in the transformer are judged, the data are drawn and represented through a broken line graph, when the change difference value is detected to be within a preset range according to the change difference value of current data and previous data, the data in the region is judged to be a region in the broken line graph, the peak value and the valley value in the current region are monitored, the region and the area formed by a horizontal coordinate are calculated, the calculated result is compared with the area in historical data, whether the areas are the same and the data in the corresponding broken line graphs are the same, the abnormal position of the transformer substation can be located through the historical data node, the time for a worker to find the abnormal position from the transformer substation is reduced, and the safety of data in the transformer substation is guaranteed, for example, in fig. 1, a represents an abnormal alarm point area, E represents a data state change stable area, BJ1 represents an abnormal data higher alarm point, and BJ2 represents an abnormal data lower alarm point.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. The utility model provides a log audit system based on electric power monitored control system which characterized in that: the system comprises a bayonet terminal data calling module, a log data maintenance processing module and a data state influence summarizing module, wherein the bayonet terminal data calling module is used for extracting data in a transformer substation stored in a bayonet and processing the data, the log data maintenance processing module is used for carrying out region segmentation on a formed data display image and carrying out superposition comparison on the same area, the data which is sent out an alarm can be positioned in time and maintained in time, and the data state influence summarizing module is used for analyzing the influence degree of the segmented region in the displayed data image on other regions in the display image;
the bayonet terminal data calling module comprises a bayonet data acquisition unit, a data terminal display unit, a regional peak-valley value determination unit and a global data peak-valley value corresponding unit, the bayonet data acquisition unit is used for acquiring log data contents at different moments in the transformer substation, and transmits the collected data to a data terminal display unit for displaying, wherein the data terminal display unit is used for displaying the collected data changes of the transformer substation through a line graph, the region peak-to-valley value determining unit is configured to determine a degree of variation between data peak and valley data in different regions, the global data peak-valley value corresponding unit is used for judging the change degree between data peak values and data valley values in the global data, analyzing whether the change between different peak values and valley values can cause the change of electric quantity or not, and sending the data to the log data maintenance processing module for analysis processing;
the log data maintenance processing module comprises a data state segmentation unit, a historical log data alarm unit, an event state data alarm frequency summarizing unit, a region area calculation unit, a data superposition comparison unit, a method solution corresponding unit, a maintenance early warning unit and an abnormal data dimension terminal storage unit, wherein the data state segmentation unit is used for dividing data into a stable region and an unstable region according to the change of the data in the displayed broken line graph, the stable region and the unstable region judge whether the change difference of peak value and valley value data is in a standard data range, and if the change difference is not in the standard data range, the region where the data is located is judged as an unstable region and marked as A; if the variation difference is within the standard data range, judging the area where the data is located as a stable area, and marking as E; the historical log data alarm unit is used for comparing data in different areas with historical data and judging whether log data alarm occurs or not; the area calculation unit is used for judging area formed by each data node in different areas and each time point in one day of the abscissa transformer substation to calculate, can quickly distinguish whether a node in the data line graph alarms or not, and can timely maintain the corresponding station of the transformer substation; the data superposition comparison unit is used for taking the area of the area corresponding to the data node as a first condition, taking the data of the abscissa and the ordinate corresponding to the data node as a second condition for judging the alarm of the data node, and taking the data as a condition for judging the similarity of the data node when the first condition and the second condition are simultaneously met; the event state data alarming frequency summarizing unit is used for summarizing the frequency of judging the occurrence of early warning of log data in a data line graph, and prompting a user when the early warning frequency in the line graph exceeds a preset frequency, the method comprises the steps that a corresponding unit is used for sending data to an abnormal data dimension terminal storage unit to traverse a specific maintenance position of a transformer substation positioned by the same data when detecting that a first condition and a second condition simultaneously meet the conditions, and displaying the specific maintenance position in the line graph, and a maintenance advance warning unit is used for prompting a worker to carry out maintenance in advance when detecting that the difference value between the data nodes in the line graph and the data in the abnormal data dimension terminal storage unit exceeds a critical alarming range; and the abnormal data dimension terminal storage unit is used for storing the alarm and corresponding solution modes of the log data of each time and updating the log data in real time.
2. The log auditing system based on power monitoring system of claim 1 characterized in that: the area calculation unit calculates the area of each area in the data line graph, and divides the line graph into a plurality of areas according to the change of data, and the formula is as follows:
the conditions satisfied by dividing the line graph into several regions are: I-I (n-1) ═ IC,
let w data nodes, when detected
When the node meets the above conditions, the node will
Dividing the image into areas;
wherein T is the lower limit value of the abscissa time period of the selected region, T + n is the upper limit value of the abscissa time period of the region, I is the current value of a certain node, I (n-1) is the current value represented by the node before the node, IC is a fixed current difference value, and S is the area formed by the polygonal line and the abscissa in the corresponding region;
comparing the area corresponding to the node with the abnormal data area in the abnormal data dimension terminal storage unit, when the abnormal data dimension terminal storage unit is detected to comprise the same area, further performing area coincidence comparison on an abscissa and an ordinate corresponding to all data nodes in the area and an abscissa and an ordinate having the same area, when the abscissa and the ordinate of the data node are detected to be the same as those of the historical data node, acquiring a specific position in the transformer substation corresponding to the node in the historical data, and sending the specific position to a worker to maintain the data in the transformer substation; otherwise, traversing other data in the abnormal data dimension terminal storage unit.
3. The log auditing system based on power monitoring system of claim 1 characterized in that: the data in the transformer substation detected by the log auditing system are voltage, current and temperature respectively.
4. The log auditing system based on power monitoring system of claim 1 characterized in that: the method comprises the following steps:
s1: acquiring all data in a bayonet, displaying the data through a line graph, judging the peak-valley value change of different data according to the displayed data, dividing the data into different areas according to the peak-valley value change by a broken line, and taking the peak value and the valley value in each area as abnormal node prediction data;
s2: calculating the area S represented by the broken line in each area, comparing the area represented by each area with historical data in an abnormal data dimension terminal storage unit, simultaneously carrying out coincidence detection on corresponding abscissa and ordinate data, and when the area formed by the broken line and the abscissa is detected to be the same as the historical area and the coordinates corresponding to the abscissa and the ordinate in the data node are the same, acquiring the position of a corresponding detection transformer substation when the broken line historical data alarms, otherwise, carrying out coincidence comparison again;
s3: according to the distributed data broken line areas, when the alarm points are detected in the areas, the influence degree of the areas on other areas is judged to be high, and then workers need to maintain the data of the transformer substation in advance, so that the safety of data transmission in the transformer substation is guaranteed.
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