CN117134502B - Power data monitoring method and monitoring system - Google Patents
Power data monitoring method and monitoring system Download PDFInfo
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- CN117134502B CN117134502B CN202311371492.0A CN202311371492A CN117134502B CN 117134502 B CN117134502 B CN 117134502B CN 202311371492 A CN202311371492 A CN 202311371492A CN 117134502 B CN117134502 B CN 117134502B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000002159 abnormal effect Effects 0.000 claims abstract description 177
- 238000004458 analytical method Methods 0.000 claims description 61
- 238000012423 maintenance Methods 0.000 claims description 8
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- 230000005856 abnormality Effects 0.000 description 4
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a power data monitoring method and a monitoring system, which relate to the technical field of power monitoring and solve the problem that specific abnormal conditions of corresponding power nodes are not considered.
Description
Technical Field
The invention relates to the technical field of power monitoring, in particular to a power data monitoring method and a power data monitoring system.
Background
The power data monitoring is realized by installing monitoring equipment and establishing a data transmission and processing system; the monitoring devices may include electrical load meters, distributed energy monitoring devices, high voltage grid monitoring devices, etc., which are capable of collecting various parameter data in the electrical power system, such as power load, voltage, frequency, power factor, etc.
The invention discloses an intelligent monitoring system for a power dispatching data network, which relates to the technical field of circuit management, wherein an external monitoring unit is provided with a monitoring head for collecting front-end video image signals.
In the specific monitoring and management process of the power data, whether the corresponding power node is abnormal is generally judged according to the fluctuation state of the power data, but the specific abnormal situation of the corresponding power node is not considered in the analysis mode, so that the judged abnormal situation is wrong, the mutual influence among the power nodes is not considered, and the judgment accuracy of the abnormal reason is influenced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a power data monitoring method and a power data monitoring system, which solve the problems that the specific abnormal situation of the corresponding power nodes is not considered, the determined abnormal situation is not accurate, and the mutual influence among the power nodes is not considered, so that the determination accuracy of the abnormal cause is influenced.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a power data monitoring system comprising:
the node data monitoring end monitors node data generated by a plurality of different power nodes and transmits the monitored node data to the analysis calibration end, wherein the node data comprises power load parameters, voltage parameters and working temperature parameters;
the analysis calibration end is used for receiving the monitored node data and calibrating the power node with abnormal power load fluctuation as an abnormal node preferentially according to the power load parameters of different power nodes, and the specific mode is as follows:
defining a set of monitoring periods T, wherein T is a preset value, and selecting the maximum value and the minimum value of the power load parameters generated by the corresponding power nodes in the monitoring periods T by: float value = maximum-minimum, confirm the float value of the corresponding power node;
to confirm several groups of floating values F i Performing mean value processing, wherein i represents different floating values, and confirming a standard value Bz;
by F i -Bz=B i Obtaining a standard comparison value B i Analysis Standard alignment value B i Whether or not it satisfies: b (B) i And (2) not less than Y1, wherein Y1 is a preset value, if yes, the corresponding power node is marked as an abnormal node, and if not, no treatment is performed;
then extracting a plurality of distribution diagrams of the power nodes from the database, and calibrating the corresponding single-group abnormal nodes as nodes to be managed when all the power nodes interconnected by the single-group abnormal nodes are abnormal nodes and exceed three groups;
the fluctuation data main analysis end is used for analyzing voltage parameters and working temperature parameters generated by abnormal nodes, preferentially constructing a fluctuation curve of the voltage parameters, then determining an abnormal fluctuation section in the fluctuation curve, further confirming the temperature parameters generated in the abnormal fluctuation section time section, and then carrying out comprehensive analysis to mark the abnormal nodes as normal fluctuation nodes or abnormal fluctuation nodes, wherein the specific mode is as follows:
confirming the voltage parameters generated by the corresponding abnormal nodes in the monitoring period T, then constructing a voltage fluctuation curve according to the time trend and different voltage parameters corresponding to different time points, confirming the slopes between adjacent points in the voltage fluctuation curve, performing absolute value processing, and marking as X k Wherein X is k > 0, where k represents a line segment between different adjacent dot bits;
sets of slope X to be confirmed k Carrying out mean processing, determining a standard mean J, and analyzing whether the slope meets the following conditions: (X) k -J) > Y2, wherein Y2 is a preset value, and if so, the corresponding slope X k The corresponding line segment is marked as an abnormal fluctuation segment, and if the abnormal line segment is not satisfied, the abnormal node is marked as a normal fluctuation node;
confirming the temperature parameter corresponding to the abnormal fluctuation segment, selecting the maximum temperature parameter value from a plurality of groups of temperature parameters, calibrating the maximum temperature parameter value as WDmax, and analyzing whether the maximum temperature parameter value WDmax meets the following conditions: WDmax is larger than Y3, wherein Y3 is a preset value, if yes, the abnormal node is marked as an abnormal fluctuation node, the abnormal fluctuation node is directly transmitted to the display end, and if not, the abnormal node is marked as a normal fluctuation node;
the data processing end analyzes and confirms the abnormal fluctuation segments of the abnormal nodes interconnected with the periphery of the nodes to be managed, judges whether the nodes to be managed are affected by the abnormal nodes, generates specific signals if the nodes to be managed are affected, intervenes in analysis operation by appointed maintenance personnel, adopts the same analysis mode of the fluctuation data main analysis end if the nodes to be managed are not affected, and processes the nodes to be managed, wherein the specific modes are as follows:
in the monitoring period T, the abnormal fluctuation segments of the interconnected abnormal nodes are confirmed, then, a plurality of abnormal fluctuation time segments are confirmed, then, the abnormal fluctuation segments of the nodes to be managed are confirmed, and then, the abnormal fluctuation time segments to be managed of the abnormal fluctuation segments are confirmed;
analyzing whether a plurality of abnormal fluctuation time periods are crossed with the abnormal fluctuation time periods to be managed, if so, calibrating the corresponding abnormal fluctuation time periods as crossed time periods, then recording the specific number of the crossed time periods, and judging whether the specific number meets the requirement: the specific number is more than or equal to 3, if the specific number is satisfied, the node to be managed is influenced by peripheral abnormal nodes, a signal to be intervened is generated and transmitted to a display end for external personnel to check, a countermeasure is timely made, if the specific number is not satisfied, the node to be managed is not influenced by the peripheral abnormal nodes, and the node to be managed is processed by adopting the same analysis mode of a fluctuation data main analysis end.
Preferably, the power data monitoring method comprises the following steps:
monitoring node data generated by a plurality of different power nodes, calibrating power nodes with abnormal power load fluctuation as abnormal nodes according to power load parameters of the different power nodes, extracting a configuration schematic diagram of the plurality of power nodes from a database, and calibrating a corresponding single group of abnormal nodes as nodes to be managed when all power nodes interconnected by the single group of abnormal nodes are abnormal nodes and exceed three groups;
analyzing the voltage parameters and the working temperature parameters generated by the abnormal nodes, preferentially constructing a fluctuation curve of the voltage parameters, then determining an abnormal fluctuation section in the fluctuation curve, further confirming the temperature parameters generated in the abnormal fluctuation section time section, and then comprehensively analyzing to mark the abnormal nodes as normal fluctuation nodes or abnormal fluctuation nodes;
and thirdly, analyzing and confirming abnormal fluctuation segments of abnormal nodes interconnected with the periphery of the nodes to be managed, judging whether the nodes to be managed are affected by the abnormal nodes, if so, generating specific signals, performing interventional analysis operation by appointed maintenance personnel, and if not, adopting the same analysis mode of a fluctuation data main analysis end to process the nodes to be managed.
The invention provides a power data monitoring method and a power data monitoring system. Compared with the prior art, the method has the following beneficial effects:
according to the invention, by monitoring the power load parameters of different power nodes and analyzing the monitored parameters, judging whether the corresponding power nodes are abnormal in fluctuation, then determining the voltage parameters generated by the abnormal nodes, sequentially analyzing the voltage parameters, determining the abnormal fluctuation section and the temperature parameters corresponding to the fluctuation section, comprehensively analyzing, and confirming whether excessive abnormality exists;
then, aiming at abnormal nodes with multiple intersections, in the process of analyzing and controlling, whether the surrounding abnormal nodes are affected with each other needs to be fully considered, corresponding abnormal fluctuation time is sequentially confirmed, whether the abnormal fluctuation time is intersected is confirmed, whether the abnormal nodes are affected or not can be judged by analyzing specific intersection conditions, and analysis accuracy is improved.
Drawings
Fig. 1 is a schematic diagram of a principle frame 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.
Example 1
Referring to fig. 1, the application provides a power data monitoring system, which comprises a node data monitoring end, an analysis calibration end, a database, a fluctuation data main analysis end, a data processing end and a display end;
the node data monitoring end is respectively and electrically connected with the analysis calibration end and the input node of the fluctuation data main analysis end, the analysis calibration end is electrically connected with the input node of the fluctuation data main analysis end, the database respectively transmits the data stored in the database to the analysis calibration end and the fluctuation data main analysis end, the fluctuation data main analysis end is electrically connected with the input node of the data processing end, and the data processing end is electrically connected with the input node of the display end;
the node data monitoring terminal monitors node data generated by a plurality of different power nodes and transmits the monitored node data to the analysis and calibration terminal, wherein the node data comprises power load parameters, voltage parameters and working temperature parameters, and specifically, the power load parameters are monitored by a power load measuring instrument, and the voltage parameters and the working temperature parameters are monitored by adopting appointed sensors;
the analysis calibration end is used for receiving the monitored node data and calibrating the power node with abnormal power load fluctuation as an abnormal node preferentially according to the power load parameters of different power nodes, wherein the specific mode for calibrating the abnormal node is as follows:
defining a group of monitoring periods T, wherein T is a preset value, the specific value of the monitoring period T is empirically drawn by an operator, and the maximum value and the minimum value of the power load parameters generated by the corresponding power nodes are selected in the monitoring periods T by: float value = maximum-minimum, confirm the float value of the corresponding power node;
to confirm several groups of floating values F i Performing mean value processing, wherein i represents different floating values, and confirming a standard value Bz;
by F i -Bz=B i Obtaining a standard comparison value B i Analysis Standard alignment value B i Whether or not it satisfies: b (B) i More than or equal to Y1, wherein Y1 is a preset value, the specific value of the Y1 is drawn by an operator according to experience, if the Y1 is satisfied, the corresponding power node is marked as an abnormal node, and if the Y1 is not satisfied, no treatment is performed;
and then extracting a plurality of distribution diagrams of the power nodes from the database, and marking the corresponding single-group abnormal nodes as nodes to be managed when the power nodes interconnected by the single-group abnormal nodes are all abnormal nodes and exceed three groups.
Specifically, when the floating value of the corresponding power node is excessively floating, then the power node has a floating abnormal condition, so that subsequent analysis is needed to determine the abnormal condition of the corresponding power node, and the subsequent specific analysis is executed by the fluctuation data main analysis end.
The fluctuation data main analysis end analyzes voltage parameters and working temperature parameters generated by abnormal nodes, preferentially builds a fluctuation curve of the voltage parameters, then determines an abnormal fluctuation section in the fluctuation curve, confirms temperature parameters generated in a time period of the abnormal fluctuation section, and then performs comprehensive analysis to calibrate the abnormal nodes as normal fluctuation nodes or abnormal fluctuation nodes, wherein the specific mode of performing the comprehensive analysis is as follows:
confirming the voltage parameters generated by the corresponding abnormal nodes in the monitoring period T, then constructing a voltage fluctuation curve according to the time trend and different voltage parameters corresponding to different time points, confirming the slopes between adjacent points in the voltage fluctuation curve, performing absolute value processing, and marking as X k Wherein X is k The slope is a trend value of the line segment between two points, the larger the slope is, the larger the trend is, the smaller the slope is, the smaller the trend is, and the slope of the corresponding line segment can be determined by dividing the vertical parameter difference of the two points by the transverse parameter difference of the two points;
sets of slope X to be confirmed k Carrying out mean processing, determining a standard mean J, and analyzing whether the slope meets the following conditions: (X) k -J) > Y2, wherein Y2 is a preset value, the specific value of which is empirically determined by the operator, and if satisfied, the corresponding slope X k The corresponding line segment is marked as an abnormal fluctuation segment, and if the abnormal line segment is not satisfied, the abnormal node is marked as a normal fluctuation node;
confirming the temperature parameter corresponding to the abnormal fluctuation segment, selecting the maximum temperature parameter value from a plurality of groups of temperature parameters, calibrating the maximum temperature parameter value as WDmax, and analyzing whether the maximum temperature parameter value WDmax meets the following conditions: WDmax > Y3, wherein Y3 is a preset value, the specific value is formulated by operators according to experience, if the specific value is satisfied, the abnormal node is marked as an abnormal fluctuation node, the abnormal fluctuation node is directly transmitted into a display end, the operators should dispatch specified maintenance personnel immediately aiming at the abnormal fluctuation node to maintain the node, accidents are avoided, and if the specific value is not satisfied, the abnormal node is marked as a normal fluctuation node.
Specifically, in order to analyze the specific degree of abnormality of the corresponding abnormal node, the degree of abnormality of the abnormal node should be further analyzed, firstly, the voltage parameter corresponding to the abnormal node is analyzed, the abnormal fluctuation section is determined according to the fluctuation condition of the voltage parameter, then the temperature analysis is performed, whether the temperature in the fluctuation section is abnormal or not is judged, if the temperature is abnormal, the serious problem exists in the fluctuation section, the maintenance is needed in time, and if the temperature is normal, the fluctuation section is represented to be normal fluctuation.
Example two
In the specific implementation process of the present embodiment, compared with the above embodiment, the present embodiment is mainly aimed at the node to be managed, and analyzes the specific degree of abnormality of the node to be managed, which is specifically different from the above embodiment in that:
the data processing end analyzes and confirms the abnormal fluctuation segments of the abnormal nodes interconnected around the nodes to be managed, judges whether the nodes to be managed are affected by the abnormal nodes, generates specific signals if the nodes to be managed are affected, intervenes in analysis operation by appointed maintenance personnel, and processes the nodes to be managed in the same analysis mode of the fluctuation data main analysis end if the nodes to be managed are not affected, wherein the specific mode for judging whether the nodes to be managed are affected is as follows:
in the monitoring period T, the abnormal fluctuation segments of the interconnected abnormal nodes are confirmed, then, a plurality of abnormal fluctuation time segments are confirmed, then, the abnormal fluctuation segments of the nodes to be managed are confirmed, and then, the abnormal fluctuation time segments to be managed of the abnormal fluctuation segments are confirmed;
analyzing whether a plurality of abnormal fluctuation time periods are crossed with the abnormal fluctuation time periods to be managed, if so, calibrating the corresponding abnormal fluctuation time periods as crossed time periods, then recording the specific number of the crossed time periods, and judging whether the specific number meets the requirement: the specific number is more than or equal to 3, if the specific number is satisfied, the node to be managed is influenced by peripheral abnormal nodes, a signal to be intervened is generated and transmitted to a display end for external personnel to check, a corresponding measure is timely made, if the specific number is not satisfied, the node to be managed is not influenced by the peripheral abnormal nodes, and the node to be managed is processed by adopting the same analysis mode of a fluctuation data main analysis end;
specifically, since the node to be managed is also an abnormal node, before analysis, whether the abnormal node is affected by the peripheral abnormal node needs to be determined in advance, if the influence factors are too many, a certain deviation exists in the analysis accuracy of the abnormal node during data analysis, errors may exist in the specific operation to be executed subsequently, the corresponding abnormal fluctuation time is confirmed again through analyzing the specific abnormal fluctuation section of the peripheral abnormal node, whether the abnormal fluctuation time is crossed or not is confirmed again, and whether the abnormal node is affected or not can be determined through analyzing the specific crossing condition, so that the analysis accuracy is improved.
Example III
The power data monitoring method comprises the following steps:
monitoring node data generated by a plurality of different power nodes, calibrating power nodes with abnormal power load fluctuation as abnormal nodes according to power load parameters of the different power nodes, extracting a configuration schematic diagram of the plurality of power nodes from a database, and calibrating a corresponding single group of abnormal nodes as nodes to be managed when all power nodes interconnected by the single group of abnormal nodes are abnormal nodes and exceed three groups;
analyzing the voltage parameters and the working temperature parameters generated by the abnormal nodes, preferentially constructing a fluctuation curve of the voltage parameters, then determining an abnormal fluctuation section in the fluctuation curve, further confirming the temperature parameters generated in the abnormal fluctuation section time section, and then comprehensively analyzing to mark the abnormal nodes as normal fluctuation nodes or abnormal fluctuation nodes;
and thirdly, analyzing and confirming abnormal fluctuation segments of abnormal nodes interconnected with the periphery of the nodes to be managed, judging whether the nodes to be managed are affected by the abnormal nodes, if so, generating specific signals, performing interventional analysis operation by appointed maintenance personnel, and if not, adopting the same analysis mode of a fluctuation data main analysis end to process the nodes to be managed.
Example IV
This embodiment includes all of the three embodiments described above in the specific implementation.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (5)
1. The electric power data monitored control system, its characterized in that includes:
the node data monitoring end monitors node data generated by a plurality of different power nodes and transmits the monitored node data to the analysis calibration end, wherein the node data comprises power load parameters, voltage parameters and working temperature parameters;
the analysis and calibration end is used for receiving the monitored node data and preferentially calibrating the power nodes with abnormal power load fluctuation as abnormal nodes according to the power load parameters of different power nodes;
the fluctuation data main analysis end is used for analyzing the voltage parameters and the working temperature parameters generated by the abnormal nodes, preferentially constructing a fluctuation curve of the voltage parameters, then determining an abnormal fluctuation section in the fluctuation curve, further confirming the temperature parameters generated in the abnormal fluctuation section time period, and then carrying out comprehensive analysis to mark the abnormal nodes as normal fluctuation nodes or abnormal fluctuation nodes;
the data processing end analyzes and confirms the abnormal fluctuation segments of the abnormal nodes interconnected with the periphery of the nodes to be managed, judges whether the nodes to be managed are affected by the abnormal nodes, generates specific signals if the nodes to be managed are affected, intervenes in analysis operation by appointed maintenance personnel, and processes the nodes to be managed by adopting the same analysis mode of the fluctuation data main analysis end if the nodes to be managed are not affected.
2. The power data monitoring system according to claim 1, wherein the specific way for the analysis and calibration terminal to calibrate the abnormal node is:
defining a set of monitoring periods T, wherein T is a preset value, and selecting the maximum value and the minimum value of the power load parameters generated by the corresponding power nodes in the monitoring periods T by: float value = maximum-minimum, confirm the float value of the corresponding power node;
to confirm several groups of floating values F i Performing mean value processing, wherein i represents different floating values, and confirming a standard value Bz;
by F i -Bz=B i Obtaining a standard comparison value B i Analysis Standard alignment value B i Whether or not it satisfies: b (B) i And (2) not less than Y1, wherein Y1 is a preset value, if yes, the corresponding power node is marked as an abnormal node, and if not, no treatment is performed;
and then extracting a plurality of distribution diagrams of the power nodes from the database, and marking the corresponding single-group abnormal nodes as nodes to be managed when the power nodes interconnected by the single-group abnormal nodes are all abnormal nodes and exceed three groups.
3. The power data monitoring system according to claim 1, wherein the wave data main analysis end performs comprehensive analysis in the following specific ways:
confirming the voltage parameters generated by the corresponding abnormal nodes in the monitoring period T, then constructing a voltage fluctuation curve according to the time trend and different voltage parameters corresponding to different time points, confirming the slopes between adjacent points in the voltage fluctuation curve, performing absolute value processing, and marking as X k Wherein X is k > 0, where k represents a line segment between different adjacent dot bits;
sets of slope X to be confirmed k Carrying out mean processing, determining a standard mean J, and analyzing whether the slope meets the following conditions: (X) k -J) > Y2, wherein Y2 is a preset value, and if so, the corresponding slope X k The corresponding line segment is marked as an abnormal fluctuation segment, and if the abnormal line segment is not satisfied, the abnormal node is marked as a normal fluctuation node;
confirming the temperature parameter corresponding to the abnormal fluctuation segment, selecting the maximum temperature parameter value from a plurality of groups of temperature parameters, calibrating the maximum temperature parameter value as WDmax, and analyzing whether the maximum temperature parameter value WDmax meets the following conditions: WDmax > Y3, wherein Y3 is a preset value, if yes, the abnormal node is marked as an abnormal fluctuation node, the abnormal fluctuation node is directly transmitted to the display end, and if not, the abnormal node is marked as a normal fluctuation node.
4. The power data monitoring system according to claim 1, wherein the specific manner in which the data processing end determines whether the node to be managed is affected is:
in the monitoring period T, the abnormal fluctuation segments of the interconnected abnormal nodes are confirmed, then, a plurality of abnormal fluctuation time segments are confirmed, then, the abnormal fluctuation segments of the nodes to be managed are confirmed, and then, the abnormal fluctuation time segments to be managed of the abnormal fluctuation segments are confirmed;
analyzing whether a plurality of abnormal fluctuation time periods are crossed with the abnormal fluctuation time periods to be managed, if so, calibrating the corresponding abnormal fluctuation time periods as crossed time periods, then recording the specific number of the crossed time periods, and judging whether the specific number meets the requirement: the specific number is more than or equal to 3, if the specific number is satisfied, the node to be managed is influenced by peripheral abnormal nodes, a signal to be intervened is generated and transmitted to a display end for external personnel to check, a response measure is timely made, if the specific number is not satisfied, the node to be managed is not influenced by the peripheral abnormal nodes, and the node to be managed is processed by adopting the same analysis mode of a fluctuation data main analysis end.
5. A method of power data monitoring, the method of monitoring being based on the operation of the power data monitoring system of any one of claims 1-4, comprising the steps of:
monitoring node data generated by a plurality of different power nodes, calibrating power nodes with abnormal power load fluctuation as abnormal nodes according to power load parameters of the different power nodes, extracting a configuration schematic diagram of the plurality of power nodes from a database, and calibrating a corresponding single group of abnormal nodes as nodes to be managed when all power nodes interconnected by the single group of abnormal nodes are abnormal nodes and exceed three groups;
analyzing the voltage parameters and the working temperature parameters generated by the abnormal nodes, preferentially constructing a fluctuation curve of the voltage parameters, then determining an abnormal fluctuation section in the fluctuation curve, further confirming the temperature parameters generated in the abnormal fluctuation section time section, and then comprehensively analyzing to mark the abnormal nodes as normal fluctuation nodes or abnormal fluctuation nodes;
and thirdly, analyzing and confirming abnormal fluctuation segments of abnormal nodes interconnected with the periphery of the nodes to be managed, judging whether the nodes to be managed are affected by the abnormal nodes, if so, generating specific signals, performing interventional analysis operation by appointed maintenance personnel, and if not, adopting the same analysis mode of a fluctuation data main analysis end to process the nodes to be managed.
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