CN113032466A - Power consumption data monitoring method and system - Google Patents
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Abstract
The invention provides a power consumption data monitoring method and a system, wherein the method comprises the following steps: acquiring installation parameters of each monitoring terminal; constructing a monitoring graph based on the installation parameters; acquiring monitoring parameters of a monitoring terminal; and marking on the monitoring graph based on the monitoring parameters. The power utilization data monitoring method provided by the invention depends on power utilization in various industries (different industries, different time periods, different peak-valley values and the like), and realizes efficient acquisition, transmission, storage and analysis of multiple data sources by integrating large data technologies such as sensors, wireless communication, distributed databases and the like; the system platform analyzes the large amount of data of the electric power, analyzes the dimensional data, provides a targeted solution for solving problem symptoms of various industries, and provides a targeted solution for various industries, so that the reliability, the foresight, the accuracy and the timeliness of the service are improved.
Description
Technical Field
The invention relates to the technical field of data monitoring, in particular to a power utilization data monitoring method and system.
Background
At present, the electric power monitoring platform is used widely, can monitor power equipment through the electric power monitoring platform, detects electric power parameter to analysis, according to the data that the analysis gained, remote control transfers power equipment, realizes exceeding standard auto-power-off, surpassing the threshold value and reports to the police, control electric power system data and equipment moreover conveniently, and is safe in utilization, to emergency's effective control. However, data acquisition mainly depends on a manual data acquisition mode, and the efficiency is low.
Disclosure of Invention
One of the purposes of the invention is to provide a power consumption data monitoring method, which realizes the high-efficiency acquisition, transmission, storage and analysis of multiple data sources by integrating large data technologies such as sensors, wireless communication, distributed databases and the like according to the power consumption of various industries (different industries, different time periods, different peak-valley values and the like); the system platform analyzes the large amount of data of the electric power, analyzes the dimensional data, provides a targeted solution for solving problem symptoms of various industries, and provides a targeted solution for various industries, so that the reliability, the foresight, the accuracy and the timeliness of the service are improved.
The embodiment of the invention provides a power utilization data monitoring method, which comprises the following steps:
acquiring installation parameters of each monitoring terminal;
constructing a monitoring graph based on the installation parameters;
acquiring monitoring parameters of a monitoring terminal;
and marking on the monitoring graph based on the monitoring parameters.
Preferably, the installation parameters include: and the installation position and the information of the monitoring object corresponding to the monitoring terminal.
Preferably, the monitoring graph is constructed based on installation parameters, and the method comprises the following steps:
acquiring a preset bottom template drawing;
constructing a monitoring block based on information of a monitoring object corresponding to the monitoring terminal;
mapping the monitoring block to a bottom layer module diagram based on the installation position;
and after all the monitoring blocks are mapped to the bottom layer module diagram, determining that the installation positions are at first positions corresponding to the bottom layer modules, and setting a marking area at the first positions.
Preferably, marking is performed on the monitoring graph based on the monitoring parameters, and the marking includes:
analyzing the monitoring parameters based on a preset first rule, and determining a first marking parameter;
marking on the monitoring block based on the first marking parameter;
analyzing the monitoring parameters based on a preset second rule, and determining a second marking parameter;
marking on the marking area based on the second marking parameter;
analyzing the monitoring parameters based on a preset first rule, and determining a first marking parameter; the method comprises the following steps:
acquiring a first monitoring value corresponding to a monitoring parameter in a preset first time period;
determining a first monitoring threshold value based on corresponding first monitoring values of all monitoring objects contained in the bottom template graph;
determining a first threshold interval based on a first monitoring threshold;
determining a value of a first marking parameter based on a relation between a threshold interval and a first monitoring value;
marking on the monitoring block based on the first marking parameter; the method comprises the following steps:
acquiring a first comparison table of a preset marking value and a display mode, inquiring the first comparison table based on the value of a first marking parameter, and determining the display mode of the monitoring block;
analyzing the monitoring parameters based on a preset second rule, and determining a second marking parameter; the method comprises the following steps:
acquiring historical monitoring data corresponding to the monitoring parameters;
grouping the historical monitoring data to determine a plurality of second monitoring values;
determining a second monitoring threshold based on the plurality of second monitoring values;
determining a second threshold interval based on a second monitoring threshold;
determining a plurality of parameter values in the second marking parameter based on the relationship between the second monitoring value and the second threshold interval;
marking on the marking area based on the second marking parameter, comprising:
dividing the marking area into N-1 annular partitions and a middle partition from outside to inside; the intermediate partition corresponds to a group of historical monitoring data that is closest to the current time; sequentially corresponding the annular subareas from inside to outside to a group of historical monitoring data; wherein, the corresponding time of the outer annular partition is earlier than that of the inner annular partition;
determining that the annular partition and the intermediate partition correspond to parameter values in the second indicating parameter;
constructing a marking vector based on the parameter values;
acquiring a preset marking library; matching vectors in the marking library correspond to marking modes one by one;
calculating the matching value of the matching vector and the marking vector, wherein the calculation formula is as follows:
wherein P is the matching value of the mark vector and the matching vector, aiTo denote the i-th parameter value of the vector, biIs the ith parameter value of the matching vector; n is the parameter number of the matching vector or the parameter number of the marking vector;
acquiring a marking mode corresponding to the matching vector with the maximum matching value of the marking vector in the marking library, and marking the annular partition and the middle partition based on the marking mode; wherein, the marking mode includes: the display attribute of each annular partition and the display attribute of the middle partition; the display attributes include: display color, display character.
Preferably, the electricity data monitoring method further includes:
acquiring a second data value of the monitoring parameter of the monitored object through the big data platform;
based on the second data value, correcting the first data value of the monitoring parameter of the monitoring terminal;
and marking on the monitoring graph based on the corrected first data value.
Preferably, the first data value of the monitoring parameter of the monitoring terminal is corrected based on the second data value; the method comprises the following steps:
calculating a difference between the first data value and the second data value; when the difference is within a preset difference range, the first data value is corrected based on the following formula:
wherein D is the first data value before correction, and D' is the first data value after correction; Δ d is the difference; gamma is a correction coefficient; taking a negative value when the first data value is greater than or equal to the second data value, and taking a positive value when the first data value is smaller than the second data value;
when the difference value exceeds a preset difference value range and is smaller than a preset first threshold value, acquiring a data source of a second data value;
determining a trustworthiness of the second data value based on the pre-assigned credit value of the data source, the guaranteed credit value for the data source by other data sources connected to the data source; the determination formula is as follows:
wherein K is the confidence level; mu.s1、μ2Is a preset correlation coefficient; a. thejA guaranteed credit value for the jth other data source for the data source; deltajA utility coefficient for a guaranteed credit value for the jth other data source for the data source; k1A pre-assigned credit value for the data source;
when the confidence level is greater than a preset threshold value, the first data value is corrected based on the following formula:
D′＝X+σ1D；
wherein X is a second data value; sigma1Is a preset first correction weight;
when the confidence level is greater than a preset threshold value, the first data value is corrected based on the following formula:
D′＝D+σ2X；
wherein σ2Is a preset first correction weight;
and outputting an abnormal instruction of the monitoring terminal when the difference value is greater than or equal to a preset first threshold value.
Preferably, the electricity data monitoring method further includes:
acquiring a mapping window in a monitoring graph corresponding to the monitoring window;
extracting all values of the first marking parameters contained in the mapping window and calculating an average value;
inquiring a second comparison table of a preset window display mode based on the average value, and determining the window display mode;
wherein the window display mode includes: and flashing and displaying the window edge in a preset color.
Preferably, the electricity data monitoring method further includes:
acquiring data of a mapping window changing in a monitoring graph;
analyzing the data and constructing an initial mapping window; the initial mapping window is a corresponding mapping window when the monitoring window is closed and then is opened again by the user;
analyzing the data and constructing an initial mapping window comprises the following steps:
analyzing the data and determining a plurality of mapping windows to be selected;
acquiring the display duration of a mapping window to be selected;
assigning according to the display time of the mapping window to be selected and a preset assignment model to obtain an assignment matrix;
determining a key value of the mapping window to be selected based on the display duration and the assignment matrix, wherein the calculation formula is as follows:
wherein B is a key value; t is1Is a display duration; c. ClThe first value in the assignment matrix;
a preset coefficient corresponding to the first value in the assignment matrix; theta1、θ2The correlation coefficient is preset; and N is the total number of data in the assignment matrix.
The invention also provides an electricity consumption data monitoring system, comprising:
the first acquisition module is used for acquiring the installation parameters of each monitoring terminal;
the construction module is used for constructing a monitoring graph based on the installation parameters;
the second acquisition module is used for acquiring the monitoring parameters of the monitoring terminal;
and the marking module is used for marking on the monitoring graph based on the monitoring parameters.
Preferably, the installation parameters include: and the installation position and the information of the monitoring object corresponding to the monitoring terminal.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
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 schematic diagram of a power consumption data monitoring method according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a power consumption data monitoring method, as shown in fig. 1, comprising the following steps:
step S1: acquiring installation parameters of each monitoring terminal;
step S2: constructing a monitoring graph based on the installation parameters;
step S3: acquiring monitoring parameters of a monitoring terminal;
step S4: and marking on the monitoring graph based on the monitoring parameters.
The working principle and the beneficial effects of the technical scheme are as follows:
monitoring power consumption data through a monitoring terminal, wherein the monitoring terminal is installed at the electric meters of various residents, factories, enterprises and the like and is used for acquiring the electric quantity data on the electric meters; transmitting the data to a monitoring platform through a wireless communication module; the method comprises the following steps that a monitoring platform firstly obtains installation parameters of each monitoring terminal; constructing a monitoring graph based on the installation parameters; acquiring monitoring parameters of a monitoring terminal; marking on the monitoring graph based on the monitoring parameters; the marked monitoring graph is used as a total monitoring data center, when a user communicates with a monitoring platform for monitoring, a monitoring window of the user is mapped into the monitoring graph, and the monitoring graph in a mapping window area corresponding to the monitoring window of the monitoring graph is obtained and displayed; the monitoring graph is adopted to realize visual display of the electricity utilization data, so that management and control of a user are greatly facilitated, and the electricity utilization condition can be visually seen from the monitoring graph; in addition, tax, electricity consumption and sales data can be used as basic indexes to construct different monitoring graphs, and different basic index data can be displayed according to user selection. The dimension expansion of the economic operation data is realized step by widening the coverage of member units and data providers. On the basis of continuously expanding the dimension size of the database, a data demand side builds a model according to needs to capture specific data indexes, and view presentation and data export are carried out on the index operation results by combining a platform visualization algorithm. Meanwhile, the operation and maintenance level and efficiency are continuously improved, an automatic early warning system is constructed, threshold values and deviation indexes are set, and display analysis is carried out through aspects of state early warning, threshold value early warning, association early warning and the like. And further: the financial and tax system can be monitored through analysis of the large electric power data, economic situations can also be predicted, and technical support is provided for enterprise transformation and adjustment of government industrial institutions. Meanwhile, the platform keeps the expansion capability of the second period, and can share, correlate, compare and analyze enterprise data of departments such as statistics, tax, banks and the like in the later period, thereby fully mining the dynamic data value of the enterprise, improving and improving economic operation monitoring, prediction and risk early warning.
In one embodiment, the installation parameters include: and the installation position and the information of the monitoring object corresponding to the monitoring terminal.
The monitored object information includes: a business name or a user name; the shape of the area where the enterprise is located or the shape of the area occupied by the user, and the like.
In one embodiment, constructing a monitoring graph based on installation parameters includes:
acquiring a preset bottom template drawing;
constructing a monitoring block based on information of a monitoring object corresponding to the monitoring terminal;
mapping the monitoring block to a bottom layer module diagram based on the installation position;
and after all the monitoring blocks are mapped to the bottom layer module diagram, determining that the installation positions are at first positions corresponding to the bottom layer modules, and setting a marking area at the first positions.
Marking on the monitoring graph based on the monitoring parameters, comprising:
analyzing the monitoring parameters based on a preset first rule, and determining a first marking parameter;
marking on the monitoring block based on the first marking parameter;
analyzing the monitoring parameters based on a preset second rule, and determining a second marking parameter;
marking on the marking area based on the second marking parameter;
analyzing the monitoring parameters based on a preset first rule, and determining a first marking parameter; the method comprises the following steps:
acquiring a first monitoring value corresponding to a monitoring parameter in a preset first time period;
determining a first monitoring threshold value based on corresponding first monitoring values of all monitoring objects contained in the bottom template graph;
determining a first threshold interval based on a first monitoring threshold;
determining a value of a first marking parameter based on a relation between a threshold interval and a first monitoring value;
marking on the monitoring block based on the first marking parameter; the method comprises the following steps:
acquiring a first comparison table of a preset marking value and a display mode, inquiring the first comparison table based on the value of a first marking parameter, and determining the display mode of the monitoring block;
analyzing the monitoring parameters based on a preset second rule, and determining a second marking parameter; the method comprises the following steps:
acquiring historical monitoring data corresponding to the monitoring parameters;
grouping the historical monitoring data to determine a plurality of second monitoring values;
determining a second monitoring threshold based on the plurality of second monitoring values;
determining a second threshold interval based on a second monitoring threshold;
determining a plurality of parameter values in the second marking parameter based on the relationship between the second monitoring value and the second threshold interval;
marking on the marking area based on the second marking parameter, comprising:
dividing the marking area into N-1 annular partitions and a middle partition from outside to inside; the intermediate partition corresponds to a group of historical monitoring data that is closest to the current time; sequentially corresponding the annular subareas from inside to outside to a group of historical monitoring data; wherein, the corresponding time of the outer annular partition is earlier than that of the inner annular partition;
determining that the annular partition and the intermediate partition correspond to parameter values in the second indicating parameter;
constructing a marking vector based on the parameter values;
acquiring a preset marking library; matching vectors in the marking library correspond to marking modes one by one;
calculating the matching value of the matching vector and the marking vector, wherein the calculation formula is as follows:
wherein P is the matching value of the mark vector and the matching vector, aiTo denote the i-th parameter value of the vector, biIs the ith parameter value of the matching vector; n is the parameter number of the matching vector or the parameter number of the marking vector;
acquiring a marking mode corresponding to the matching vector with the maximum matching value of the marking vector in the marking library, and marking the annular partition and the middle partition based on the marking mode; wherein, the marking mode includes: the display attribute of each annular partition and the display attribute of the middle partition; the display attributes include: display color, display character.
The working principle and the beneficial effects of the technical scheme are as follows:
the monitoring blocks and the marked areas in the monitoring graph are used for representing monitoring data; the marks of the monitoring blocks represent the electricity utilization difference of the electricity utilization data among different electricity utilization individuals; the designation of the designation area indicates a difference in the electricity usage data of the individual over time. In addition, the monitoring area of each user is spliced on a bottom template drawing, and the bottom template drawing is a plan view matched with the map; the position of each user and the electricity utilization data of adjacent users can be visually seen from the monitoring graph; in addition, the amount associated with the electricity data, such as tax, sales data associated with the amount of electricity used, i.e., the price of the amount of electricity, may also be displayed. The monitoring block has the same shape as the area where the user is located; the display mode of the monitoring block comprises the following steps: filling a monitoring area by adopting a preset color; the specific selection of the color is determined from the first comparison table and the marking value; for example, if the color corresponding to the first monitoring value in the first threshold interval is green, the monitoring area is filled with green. The marking area may be a circular area; the circular area consists of a small circle in the middle and a plurality of circular rings sleeved on the periphery of the small circle; thereby marking the difference of the individual historical electricity consumption data.
In one embodiment, the electricity consumption data monitoring method further comprises:
acquiring a second data value of the monitoring parameter of the monitored object through the big data platform;
based on the second data value, correcting the first data value of the monitoring parameter of the monitoring terminal;
and marking on the monitoring graph based on the corrected first data value.
Based on the second data value, correcting the first data value of the monitoring parameter of the monitoring terminal; the method comprises the following steps:
calculating a difference between the first data value and the second data value; when the difference is within a preset difference range, the first data value is corrected based on the following formula:
wherein D is the first data value before correction, and D' is the first data value after correction; Δ d is the difference; gamma is a correction coefficient; taking a negative value when the first data value is greater than or equal to the second data value, and taking a positive value when the first data value is smaller than the second data value;
when the difference value exceeds a preset difference value range and is smaller than a preset first threshold value, acquiring a data source of a second data value;
determining a trustworthiness of the second data value based on the pre-assigned credit value of the data source, the guaranteed credit value for the data source by other data sources connected to the data source; the determination formula is as follows:
wherein K is the confidence level; mu.s1、μ2Is a preset correlation coefficient; a. thejA guaranteed credit value for the jth other data source for the data source; delta is the utility coefficient of the guaranteed credit value of the jth other data source for the data source; k1A pre-assigned credit value for the data source;
when the confidence level is greater than a preset threshold value, the first data value is corrected based on the following formula:
D′＝X+σ1D；
wherein X is the second dataA value; sigma1Is a preset first correction weight;
when the confidence level is greater than a preset threshold value, the first data value is corrected based on the following formula:
D′＝D+σ2X；
wherein σ2Is a preset first correction weight;
and outputting an abnormal instruction of the monitoring terminal when the difference value is greater than or equal to a preset first threshold value.
The working principle and the beneficial effects of the technical scheme are as follows:
the monitoring terminal achieves diversified collection of power consumption data, accuracy of the power consumption data is guaranteed, in addition, data can be obtained from other data sources, abnormity judgment is conducted on the data of the monitoring terminal, whether the monitoring terminal is abnormal or not is judged, when the monitoring terminal is abnormal, abnormal instructions of the monitoring terminal are taken out, and monitoring personnel can timely conduct abnormity confirmation after obtaining the abnormal instructions. And furthermore, the validity and credibility of the acquired data are determined based on a credit verification mechanism, and the accuracy of the electricity utilization data is improved.
In one embodiment, the electricity consumption data monitoring method further comprises:
acquiring a mapping window in a monitoring graph corresponding to the monitoring window;
extracting all values of the first marking parameters contained in the mapping window and calculating an average value;
inquiring a second comparison table of a preset window display mode based on the average value, and determining the window display mode;
wherein the window display mode includes: and flashing and displaying the window edge in a preset color.
The working principle and the beneficial effects of the technical scheme are as follows:
the average power consumption information of the monitored object in the monitoring window is displayed through the color emission and flash display of the window deformation, so that the user can monitor more intuitively.
In one embodiment, the electricity consumption data monitoring method further comprises:
acquiring data of a mapping window changing in a monitoring graph;
analyzing the data and constructing an initial mapping window; the initial mapping window is a corresponding mapping window when the monitoring window is closed and then is opened again by the user;
analyzing the data and constructing an initial mapping window comprises the following steps:
analyzing the data and determining a plurality of mapping windows to be selected;
acquiring the display duration of a mapping window to be selected;
assigning according to the display time of the mapping window to be selected and a preset assignment model to obtain an assignment matrix;
determining a key value of the mapping window to be selected based on the display duration and the assignment matrix, wherein the calculation formula is as follows:
wherein B is a key value; t is1Is a display duration; c. ClThe first value in the assignment matrix;
a preset coefficient corresponding to the first value in the assignment matrix; theta1、θ2The correlation coefficient is preset; and N is the total number of data in the assignment matrix.
The working principle and the beneficial effects of the technical scheme are as follows:
the method comprises the steps of establishing an initial mapping window to realize rapid mapping of a monitoring window of a user on a monitoring graph; the adjustment by a user is not needed, and the intellectualization is improved. In addition, the user can adjust parameters such as the size and the position of the mapping window on the monitoring graph by adjusting the mapping relation. Namely, the monitoring map is the total monitoring space, and the mapping window is the monitoring area in which the monitoring space can be displayed.
The invention also provides an electricity consumption data monitoring system, comprising:
the first acquisition module is used for acquiring the installation parameters of each monitoring terminal;
the construction module is used for constructing a monitoring graph based on the installation parameters;
the second acquisition module is used for acquiring the monitoring parameters of the monitoring terminal;
and the marking module is used for marking on the monitoring graph based on the monitoring parameters.
The working principle and the beneficial effects of the technical scheme are as follows:
monitoring power consumption data through a monitoring terminal, wherein the monitoring terminal is installed at the electric meters of various residents, factories, enterprises and the like and is used for acquiring the electric quantity data on the electric meters; transmitting the data to a monitoring platform through a wireless communication module; the method comprises the following steps that a monitoring platform firstly obtains installation parameters of each monitoring terminal; constructing a monitoring graph based on the installation parameters; acquiring monitoring parameters of a monitoring terminal; marking on the monitoring graph based on the monitoring parameters; the marked monitoring graph is used as a total monitoring data center, when a user communicates with a monitoring platform for monitoring, a monitoring window of the user is mapped into the monitoring graph, and the monitoring graph in a mapping window area corresponding to the monitoring window of the monitoring graph is obtained and displayed; the monitoring graph is adopted to realize visual display of the electricity utilization data, so that management and control of a user are greatly facilitated, and the electricity utilization condition can be visually seen from the monitoring graph; in addition, tax, electricity consumption and sales data can be used as basic indexes to construct different monitoring graphs, and different basic index data can be displayed according to user selection. The dimension expansion of the economic operation data is realized step by widening the coverage of member units and data providers. On the basis of continuously expanding the dimension size of the database, a data demand side builds a model according to needs to capture specific data indexes, and view presentation and data export are carried out on the index operation results by combining a platform visualization algorithm. Meanwhile, the operation and maintenance level and efficiency are continuously improved, an automatic early warning system is constructed, threshold values and deviation indexes are set, and display analysis is carried out through aspects of state early warning, threshold value early warning, association early warning and the like. And further: the financial and tax system can be monitored through analysis of the large electric power data, economic situations can also be predicted, and technical support is provided for enterprise transformation and adjustment of government industrial institutions. Meanwhile, the platform keeps the expansion capability of the second period, and can share, correlate, compare and analyze enterprise data of departments such as statistics, tax, banks and the like in the later period, thereby fully mining the dynamic data value of the enterprise, improving and improving economic operation monitoring, prediction and risk early warning.
In one embodiment, the installation parameters include: and the installation position and the information of the monitoring object corresponding to the monitoring terminal.
The monitored object information includes: a business name or a user name; the shape of the area where the enterprise is located or the shape of the area occupied by the user, and the like.
In one embodiment, constructing a monitoring graph based on installation parameters includes:
acquiring a preset bottom template drawing;
constructing a monitoring block based on information of a monitoring object corresponding to the monitoring terminal;
mapping the monitoring block to a bottom layer module diagram based on the installation position;
and after all the monitoring blocks are mapped to the bottom layer module diagram, determining that the installation positions are at first positions corresponding to the bottom layer modules, and setting a marking area at the first positions.
Marking on the monitoring graph based on the monitoring parameters, comprising:
analyzing the monitoring parameters based on a preset first rule, and determining a first marking parameter;
marking on the monitoring block based on the first marking parameter;
analyzing the monitoring parameters based on a preset second rule, and determining a second marking parameter;
marking on the marking area based on the second marking parameter;
analyzing the monitoring parameters based on a preset first rule, and determining a first marking parameter; the method comprises the following steps:
acquiring a first monitoring value corresponding to a monitoring parameter in a preset first time period;
determining a first monitoring threshold value based on corresponding first monitoring values of all monitoring objects contained in the bottom template graph;
determining a first threshold interval based on a first monitoring threshold;
determining a value of a first marking parameter based on a relation between a threshold interval and a first monitoring value;
marking on the monitoring block based on the first marking parameter; the method comprises the following steps:
acquiring a first comparison table of a preset marking value and a display mode, inquiring the first comparison table based on the value of a first marking parameter, and determining the display mode of the monitoring block;
analyzing the monitoring parameters based on a preset second rule, and determining a second marking parameter; the method comprises the following steps:
acquiring historical monitoring data corresponding to the monitoring parameters;
grouping the historical monitoring data to determine a plurality of second monitoring values;
determining a second monitoring threshold based on the plurality of second monitoring values;
determining a second threshold interval based on a second monitoring threshold;
determining a plurality of parameter values in the second marking parameter based on the relationship between the second monitoring value and the second threshold interval;
marking on the marking area based on the second marking parameter, comprising:
dividing the marking area into N-1 annular partitions and a middle partition from outside to inside; the intermediate partition corresponds to a group of historical monitoring data that is closest to the current time; sequentially corresponding the annular subareas from inside to outside to a group of historical monitoring data; wherein, the corresponding time of the outer annular partition is earlier than that of the inner annular partition;
determining that the annular partition and the intermediate partition correspond to parameter values in the second indicating parameter;
constructing a marking vector based on the parameter values;
acquiring a preset marking library; matching vectors in the marking library correspond to marking modes one by one;
calculating the matching value of the matching vector and the marking vector, wherein the calculation formula is as follows:
wherein P is the matching value of the mark vector and the matching vector, aiAs a marked vectori parameter values, biIs the ith parameter value of the matching vector; n is the parameter number of the matching vector or the parameter number of the marking vector;
acquiring a marking mode corresponding to the matching vector with the maximum matching value of the marking vector in the marking library, and marking the annular partition and the middle partition based on the marking mode; wherein, the marking mode includes: the display attribute of each annular partition and the display attribute of the middle partition; the display attributes include: display color, display character.
The working principle and the beneficial effects of the technical scheme are as follows:
the monitoring blocks and the marked areas in the monitoring graph are used for representing monitoring data; the marks of the monitoring blocks represent the electricity utilization difference of the electricity utilization data among different electricity utilization individuals; the designation of the designation area indicates a difference in the electricity usage data of the individual over time. In addition, the monitoring area of each user is spliced on a bottom template drawing, and the bottom template drawing is a plan view matched with the map; the position of each user and the electricity utilization data of adjacent users can be visually seen from the monitoring graph; in addition, the amount associated with the electricity data, such as tax, sales data associated with the amount of electricity used, i.e., the price of the amount of electricity, may also be displayed. The monitoring block has the same shape as the area where the user is located; the display mode of the monitoring block comprises the following steps: filling a monitoring area by adopting a preset color; the specific selection of the color is determined from the first comparison table and the marking value; for example, if the color corresponding to the first monitoring value in the first threshold interval is green, the monitoring area is filled with green. The marking area may be a circular area; the circular area consists of a small circle in the middle and a plurality of circular rings sleeved on the periphery of the small circle; thereby marking the difference of the individual historical electricity consumption data.
In one embodiment, the electricity data monitoring system further comprises: a correction module for correcting the position of the optical disk,
the correction module performs the following operations:
acquiring a second data value of the monitoring parameter of the monitored object through the big data platform;
based on the second data value, correcting the first data value of the monitoring parameter of the monitoring terminal;
and marking on the monitoring graph based on the corrected first data value.
Based on the second data value, correcting the first data value of the monitoring parameter of the monitoring terminal; the method comprises the following steps:
calculating a difference between the first data value and the second data value; when the difference is within a preset difference range, the first data value is corrected based on the following formula:
wherein D is the first data value before correction, and D' is the first data value after correction; Δ d is the difference; gamma is a correction coefficient; taking a negative value when the first data value is greater than or equal to the second data value, and taking a positive value when the first data value is smaller than the second data value;
when the difference value exceeds a preset difference value range and is smaller than a preset first threshold value, acquiring a data source of a second data value;
determining a trustworthiness of the second data value based on the pre-assigned credit value of the data source, the guaranteed credit value for the data source by other data sources connected to the data source; the determination formula is as follows:
wherein K is the confidence level; mu.s1、μ2Is a preset correlation coefficient; a. thejA guaranteed credit value for the jth other data source for the data source; deltajA utility coefficient for a guaranteed credit value for the jth other data source for the data source; k1A pre-assigned credit value for the data source;
when the confidence level is greater than a preset threshold value, the first data value is corrected based on the following formula:
D′＝X+σ1D；
wherein X is a second data value; sigma1To presetThe first revised weight of (a);
when the confidence level is greater than a preset threshold value, the first data value is corrected based on the following formula:
D′＝D+σ2X；
wherein σ2Is a preset first correction weight;
and outputting an abnormal instruction of the monitoring terminal when the difference value is greater than or equal to a preset first threshold value.
The working principle and the beneficial effects of the technical scheme are as follows:
the monitoring terminal achieves diversified collection of power consumption data, accuracy of the power consumption data is guaranteed, in addition, data can be obtained from other data sources, abnormity judgment is conducted on the data of the monitoring terminal, whether the monitoring terminal is abnormal or not is judged, when the monitoring terminal is abnormal, abnormal instructions of the monitoring terminal are taken out, and monitoring personnel can timely conduct abnormity confirmation after obtaining the abnormal instructions. And furthermore, the validity and credibility of the acquired data are determined based on a credit verification mechanism, and the accuracy of the electricity utilization data is improved.
In one embodiment, the electricity data monitoring system further comprises: monitoring a window display module;
the monitoring window display module performs the following operations:
acquiring a mapping window in a monitoring graph corresponding to the monitoring window;
extracting all values of the first marking parameters contained in the mapping window and calculating an average value;
inquiring a second comparison table of a preset window display mode based on the average value, and determining the window display mode;
wherein the window display mode includes: and flashing and displaying the window edge in a preset color.
The working principle and the beneficial effects of the technical scheme are as follows:
the average power consumption information of the monitored object in the monitoring window is displayed through the color emission and flash display of the window deformation, so that the user can monitor more intuitively.
In one embodiment, the electricity data monitoring system further comprises: an initial mapping module for generating a mapping table,
the initial mapping module performs the following operations:
acquiring data of a mapping window changing in a monitoring graph;
analyzing the data and constructing an initial mapping window; the initial mapping window is a corresponding mapping window when the monitoring window is closed and then is opened again by the user;
analyzing the data and constructing an initial mapping window comprises the following steps:
analyzing the data and determining a plurality of mapping windows to be selected;
acquiring the display duration of a mapping window to be selected;
assigning according to the display time of the mapping window to be selected and a preset assignment model to obtain an assignment matrix;
determining a key value of the mapping window to be selected based on the display duration and the assignment matrix, wherein the calculation formula is as follows:
wherein B is a key value; t is1Is a display duration; cl is the l-th value in the assignment matrix;
a preset coefficient corresponding to the first value in the assignment matrix; theta1、θ2The correlation coefficient is preset; and N is the total number of data in the assignment matrix.
The working principle and the beneficial effects of the technical scheme are as follows:
the method comprises the steps of establishing an initial mapping window to realize rapid mapping of a monitoring window of a user on a monitoring graph; the adjustment by a user is not needed, and the intellectualization is improved. In addition, the user can adjust parameters such as the size and the position of the mapping window on the monitoring graph by adjusting the mapping relation. Namely, the monitoring map is the total monitoring space, and the mapping window is the monitoring area in which the monitoring space can be displayed. Further, the initial mapping window may be reset according to a user instruction.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for monitoring power usage data, comprising:
acquiring installation parameters of each monitoring terminal;
constructing a monitoring graph based on the installation parameters;
acquiring monitoring parameters of the monitoring terminal;
and marking on the monitoring graph based on the monitoring parameters.
2. The electricity data monitoring method of claim 1, wherein the installation parameters comprise: and the installation position and the information of the monitored object corresponding to the monitoring terminal.
3. The electricity data monitoring method of claim 2, wherein said building a monitoring graph based on said installation parameters comprises:
acquiring a preset bottom template drawing;
constructing a monitoring block based on the information of the monitoring object corresponding to the monitoring terminal;
mapping the monitoring block to the underlying block diagram based on the installation position;
and after all the monitoring blocks are mapped to the bottom layer module diagram, determining that the installation positions are at first positions corresponding to the bottom layer modules, and setting a marking area at the first positions.
4. The electricity consumption data monitoring method according to claim 3, wherein said marking on said monitoring graph based on said monitoring parameters comprises:
analyzing the monitoring parameters based on a preset first rule, and determining a first marking parameter;
marking on the monitoring block based on the first marking parameter;
analyzing the monitoring parameter based on a preset second rule, and determining a second marking parameter;
marking on the marking area based on the second marking parameter;
analyzing the monitoring parameter based on a preset first rule to determine a first marking parameter; the method comprises the following steps:
acquiring a first monitoring value corresponding to the monitoring parameter in a preset first time period;
determining a first monitoring threshold value based on corresponding first monitoring values of all monitoring objects contained in the bottom template graph;
determining a first threshold interval based on the first monitoring threshold;
determining a value of the first marking parameter based on a relationship between the threshold interval and the first monitored value;
marking on the monitoring block based on the first marking parameter; the method comprises the following steps:
acquiring a first comparison table of a preset marking value and a display mode, inquiring the first comparison table based on the value of the first marking parameter, and determining the display mode of the monitoring block;
analyzing the monitoring parameter based on a preset second rule, and determining a second marking parameter; the method comprises the following steps:
acquiring historical monitoring data corresponding to the monitoring parameters;
grouping the historical monitoring data to determine a plurality of second monitoring values;
determining a second monitoring threshold based on a plurality of the second monitoring values;
determining a second threshold interval based on the second monitoring threshold;
determining a plurality of parameter values in the second marking parameter based on the relationship between the second monitoring value and the second threshold interval;
the marking on the marking area based on the second marking parameter includes:
dividing the marking area into N-1 annular partitions and a middle partition from outside to inside; the intermediate partition corresponds to a group of the historical monitoring data that is closest to the current time; the annular partitions from inside to outside sequentially correspond to one group of the historical monitoring data; wherein the corresponding time of the outer annular partition is earlier than the corresponding time of the inner annular partition;
determining that the annular partition and the intermediate partition correspond to parameter values in the second index parameter;
constructing a marking vector based on the parameter values;
acquiring a preset marking library; matching vectors in the marking library correspond to marking modes one by one;
calculating the matching value of the matching vector and the marking vector, wherein the calculation formula is as follows:
wherein P is the matching value of the marking vector and the matching vector, aiIs the i-th parameter value of the marker vector, biIs the ith parameter value of the matching vector; n is the parameter number of the matching vector or the parameter number of the marking vector;
acquiring a marking mode corresponding to the matching vector with the maximum matching value of the marking vector in the marking library, and marking the annular partition and the middle partition based on the marking mode; wherein, the marking mode includes: display attributes of each of the annular partitions and display attributes of the middle partition; the display attributes include: display color, display character.
5. The electricity consumption data monitoring method of claim 1, further comprising:
acquiring a second data value of the monitoring parameter of the monitored object through a big data platform;
based on the second data value, correcting the first data value of the monitoring parameter of the monitoring terminal;
and marking on the monitoring graph based on the corrected first data value.
6. The electricity consumption data monitoring method according to claim 5, wherein the first data value of the monitoring parameter of the monitoring terminal is corrected based on the second data value; the method comprises the following steps:
calculating a difference between the first data value and the second data value; when the difference is within a preset difference range, correcting the first data value based on the following formula:
wherein D is the first data value before modification, and D' is the first data value after modification; Δ d is the difference; gamma is a correction coefficient; taking a negative value when the first data value is greater than or equal to the second data value, and taking a positive value when the first data value is less than the second data value;
when the difference value exceeds the preset difference value range and is smaller than a preset first threshold value, acquiring a data source of the second data value;
determining a trustworthiness of the second data value based on the pre-assigned credit value of the data source, guaranteed credit values for the data source by other data sources connected to the data source; the determination formula is as follows:
wherein K is the confidence level; mu.s1、μ2Is a preset correlation coefficient; a. thejA guaranteed credit value for said jth of said other data sources for said data source; deltajA utility coefficient for a guaranteed credit value for a jth of said other data sources for said data source; k1A pre-assigned credit value for the data source;
when the confidence level is greater than a preset threshold, correcting the first data value based on the following formula:
D′＝X+σ1D；
wherein X is the second data value; sigma1Is a preset first correction weight;
when the confidence level is greater than a preset threshold, correcting the first data value based on the following formula:
D′＝D+σ2X；
wherein σ2Is a preset first correction weight;
and outputting an abnormal instruction of the monitoring terminal when the difference value is greater than or equal to a preset first threshold value.
7. The electricity consumption data monitoring method of claim 4, further comprising:
acquiring a mapping window corresponding to the monitoring window in the monitoring graph;
extracting all values of the first marking parameters contained in the mapping window and calculating an average value;
inquiring a second comparison table of a preset window display mode based on the average value, and determining the window display mode;
wherein the window display mode includes: and flashing and displaying the window edge in a preset color.
8. The electricity consumption data monitoring method of claim 7, further comprising:
acquiring data of the mapping window changing in the monitoring graph;
analyzing the data and constructing an initial mapping window; the initial mapping window is a corresponding mapping window when the monitoring window is closed and then is opened again by a user;
wherein analyzing the data and constructing an initial mapping window comprises:
analyzing the data and determining a plurality of mapping windows to be selected;
acquiring the display duration of the mapping window to be selected;
assigning according to the display time of the mapping window to be selected and a preset assignment model to obtain an assignment matrix;
determining a key value of the mapping window to be selected based on the display duration and the assignment matrix, wherein a calculation formula is as follows:
wherein B is the key value; t is1The display duration is the display duration; c. ClThe value is the ith value in the assignment matrix;
the value is a preset coefficient corresponding to the l value in the assignment matrix; theta1、θ2The correlation coefficient is preset; and N is the total number of data in the assignment matrix.
9. An electricity consumption data monitoring system, comprising:
the first acquisition module is used for acquiring the installation parameters of each monitoring terminal;
the construction module is used for constructing a monitoring graph based on the installation parameters;
the second acquisition module is used for acquiring the monitoring parameters of the monitoring terminal;
and the marking module is used for marking on the monitoring graph based on the monitoring parameters.
10. The electricity data monitoring system of claim 9, wherein the installation parameters comprise: and the installation position and the information of the monitored object corresponding to the monitoring terminal.
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