Electric power consumption on-line monitoring statistical system

Abstract

The invention relates to the technical field of power management, and discloses an on-line monitoring and statistical system for power consumption. Comprising the following steps: acquiring position information of a power utilization unit in a to-be-detected region, generating an energy consumption distribution diagram, acquiring energy consumption characteristics in an energy consumption abnormal region, identifying early warning characteristics from the energy consumption characteristics, counting the number of the early warning characteristics, formulating an energy consumption early warning level, and constructing a monitoring statistical report corresponding to the to-be-detected region; compared with the prior art, the method has the advantages that the position of the power utilization unit participating in power consumption online monitoring statistics in the to-be-detected area can be positioned, the accuracy of online monitoring and statistics of the area position is realized, and an accurate online monitoring and statistics effect on the power consumption of the to-be-detected area with abnormal power utilization conditions can be achieved; and early warning analysis can be carried out on the actual situation corresponding to the power consumption of the to-be-detected region, and correct data support is provided for subsequent online optimization and adjustment of power supply and distribution of the to-be-detected region.

Description

Technical Field

[0001] The present invention relates to the technical field of power management, and more specifically, to an online monitoring and statistical system for power energy consumption. Background Art

[0002] With the continuous acceleration of the industrialization process, the growth of electricity energy consumption is particularly significant. In order to conduct a comprehensive analysis and evaluation of the electricity energy consumption in the power consuming areas, so as to optimize the power supply in the power consuming areas, it is necessary to collect the electricity energy consumption data in the power consuming areas. Therefore, it is necessary to use the online monitoring and statistical system.

[0003] The patent application with reference publication number CN117474480A discloses an energy consumption online monitoring system, which collects energy consumption data of energy-consuming units based on one or more of an automated information system, a field instrument and a data collector, and transmits the energy consumption data to an energy consumption data exchange subsystem, collects energy consumption data of energy-consuming units through the energy consumption data collection subsystem, and transmits the energy consumption data to an online monitoring subsystem through a secure data transmission channel under a network security isolation state by the energy consumption data exchange subsystem, and the online monitoring subsystem realizes centralized monitoring, measurement, control and management of various energy sources in the process of purchase, storage, processing, conversion, transportation, distribution and terminal use, which greatly reduces the output of manpower and material resources, and by establishing a data upload system, eliminates the need for manual collection of data information, greatly reduces the workload of data collection, speeds up data collection, effectively improves work efficiency, and can better help relevant departments to control energy-consuming units;

[0004] The existing online monitoring and statistical system can obtain the overall power consumption data of the area to be tested by conducting overall monitoring and statistics on the power consumption of power users that can generate power consumption in the area to be tested, so as to determine whether the power consumption is excessive or abnormal. For example, in the above-mentioned patent application, it uses an energy consumption data collection subsystem to conduct overall collection and statistics on energy consumption. Although the effect of overall monitoring and statistics of power consumption can be achieved, since there are various types of power users in the area to be tested, when a large number of different types of power consumption data are collected at the same time and as a whole, a large number of different types of power consumption data are prone to cross-talk and confusion, resulting in inaccurate results of power consumption monitoring and statistics, and unable to accurately identify the relevant features of the abnormalities in the area to be tested, and thus cannot provide data support for the power consumption optimization and adjustment operations in the area to be tested.

[0005] In view of this, the present invention proposes an online monitoring and statistical system for power energy consumption to solve the above problems. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art and to achieve the above-mentioned purpose, the present invention provides the following technical solutions: an online monitoring and statistical system for power energy consumption, applied to a monitoring and statistical platform, comprising:

[0007] The energy consumption distribution map module is used to obtain the location information of the electricity users in the area to be tested, mark the monitoring points corresponding to the location information in the electronic map, and generate an energy consumption distribution map;

[0008] The regional division module is used to identify the power consumption attributes of the power consumption units, which include industrial attributes, commercial attributes, residential attributes and mixed attributes, and draw regional dividing lines in the energy consumption distribution map according to the power consumption attributes, and divide the energy consumption distribution map into energy consumption areas;

[0009] The energy consumption calculation module is used to obtain the power consumption period of the area to be tested, count the sub-energy consumption values ​​of the energy consumption area within the power consumption period, and calculate the total power energy consumption value of the area to be tested;

[0010] The abnormal area module is used to compare the total power consumption value of the area to be tested with the preset power consumption safety value, generate the energy consumption difference, and identify the energy consumption abnormal area;

[0011] A feature recognition module is used to obtain energy consumption features in energy consumption abnormality areas, including daily power consumption, peak power consumption value and daily power consumption duration, and to perform early warning recognition on energy consumption features, and to identify early warning features from energy consumption features;

[0012] The statistical report module is used to count the number of warning features, formulate energy consumption warning levels, and construct a monitoring statistical report corresponding to the area to be tested.

[0013] Furthermore, the method for obtaining the location information includes:

[0014] The electronic payment slips of A electricity users in the tested area are queried one by one through the power management system, and the electronic payment slip of the last payment time is recorded as a valid payment slip, thereby obtaining A valid payment slips;

[0015] Through natural language processing technology, semantic recognition is performed on the user addresses on A valid payment slips one by one to obtain A jurisdiction semantics, A block semantics and A house number semantics;

[0016] The jurisdiction semantics, block semantics and house number semantics belonging to the same electricity user are matched one by one and summarized to generate A pieces of location information.

[0017] Furthermore, the method for generating the energy consumption distribution diagram includes:

[0018] The electronic map of the area to be tested is queried through the map management system, and the locations of all electricity users are marked one by one on the electronic map as the original points;

[0019] The location information of the original points is queried one by one and recorded as the original information, and the original points whose original information is consistent with the location information of the electricity user are recorded as monitoring points, and B monitoring points are obtained;

[0020] On the electronic map, the original points except for B monitoring points are removed, and the power supply lines supplying power to the B monitoring points are marked one by one to generate an energy consumption distribution map.

[0021] Furthermore, the identification methods of industrial attributes, commercial attributes, residential attributes and mixed attributes include:

[0022] The power management system queries the attribute boxes of the power supply lines connected to the B monitoring points one by one, and identifies the attribute values ​​in the attribute boxes;

[0023] The power supply lines whose attribute values ​​only contain 1 are recorded as industrial lines, and the power consumption attributes of the power consumption units corresponding to the industrial lines are recorded as industrial attributes;

[0024] The power supply lines whose attribute values ​​only contain 2 are recorded as commercial lines, and the power consumption attributes of the power consumption units corresponding to the commercial lines are recorded as commercial attributes;

[0025] The power supply lines whose attribute values ​​only contain 3 are recorded as residential lines, and the power consumption attributes of the power consumption units corresponding to the residential lines are recorded as residential attributes;

[0026] A power supply line including at least two different attribute values ​​is recorded as a mixed line, and the power consumption attribute of the power consumption unit corresponding to the mixed line is recorded as a mixed attribute.

[0027] Furthermore, the energy consumption area division method includes:

[0028] On the energy consumption distribution diagram, draw auxiliary lines connecting any two adjacent monitoring points one by one, and mark the middle points of the auxiliary lines to obtain the segmentation points;

[0029] The monitoring points with the same electricity consumption attributes are recorded as the same type of points, and the segmentation points located outside the same type of points are connected in sequence to form a primary segmentation line;

[0030] When the outer side of the primary dividing line is the outer boundary of the energy consumption distribution map, the primary dividing line is extended until it intersects with the outer boundary to generate a regional dividing line;

[0031] When the outer side of the primary dividing line is not the outer boundary of the energy consumption distribution map, the primary dividing line is extended until the ends of the primary dividing line are connected to form a closed loop structure, thereby generating a regional dividing line;

[0032] The energy consumption distribution map is divided into adjacent energy consumption area.

[0033] Furthermore, the period between the time when the last power maintenance in the tested area was completed and the current time is the power consumption period;

[0034] The calculation method of total power consumption includes:

[0035] Through the power management system, The power consumption of each energy consumption area at the starting time and the end time of the power consumption period are obtained respectively. Starting energy consumption value and End point energy consumption value;

[0036] Will The energy consumption values ​​of the end points are compared with the corresponding After subtracting the starting energy consumption values, we get Energy consumption value of each child;

[0037] The expression of sub-energy consumption value is:

[0038] ;

[0039] In the formula, For the Sub-energy consumption values ​​of each energy consumption area, =1,2... , For the The end point energy consumption value of each energy consumption area, For the Starting point energy consumption value of each energy consumption area;

[0040] Will After the individual energy consumption values ​​are accumulated, the total value of power energy consumption is obtained;

[0041] The expression of total power consumption is:

[0042] ;

[0043] In the formula, is the total power consumption, For the Sub-energy consumption values ​​of each energy consumption area.

[0044] Furthermore, the method for generating the energy consumption difference includes:

[0045] Subtract the total power consumption value of the area to be tested from the preset power consumption safety value to obtain the energy consumption difference value;

[0046] The expression of energy consumption difference is:

[0047] ;

[0048] In the formula, is the energy consumption difference, It is the preset safety value of power energy consumption;

[0049] Methods for identifying abnormal energy consumption areas include:

[0050] when When it is greater than 0, The sub-energy consumption values ​​of each energy consumption area are compared with the corresponding sub-calibration values ​​in turn;

[0051] If the sub-energy consumption value of the energy consumption area is greater than the sub-calibration value, the energy consumption area is recorded as an abnormal energy consumption area, and D abnormal energy consumption areas are obtained, D = 1, 2... ;

[0052] If the sub-energy consumption value of the energy consumption area is less than or equal to the sub-calibration value, the energy consumption area is not recorded as an abnormal energy consumption area;

[0053] when When it is less than or equal to 0, there is no abnormal energy consumption area in the tested area.

[0054] Furthermore, the method for identifying the early warning features includes:

[0055] First, the daily electricity consumption is compared with the upper limit of the daily electricity consumption. When the daily electricity consumption is greater than the upper limit of the daily electricity consumption, the daily electricity consumption is identified as a warning feature;

[0056] Secondly, the peak power consumption value is compared with the peak power consumption upper limit value. When the peak power consumption value is greater than the peak power consumption upper limit value, the peak power consumption value is identified as a warning feature;

[0057] Then, the daily electricity usage duration is compared with the daily duration upper limit. When the daily electricity usage duration is greater than the daily duration upper limit, the daily electricity usage duration is identified as a warning feature.

[0058] Furthermore, the energy consumption warning level includes a first-level warning level and a second-level warning level. The formulation method of the first-level warning level and the second-level warning level includes:

[0059] Count the number of all warning features in D energy consumption abnormal areas to obtain the total warning value;

[0060] Statistics The number of all energy consumption features in the energy consumption area, and the total feature value is obtained;

[0061] When the total warning value is less than one-third of the total characteristic value, a first-level warning level is formulated;

[0062] When the total warning value is greater than or equal to one-third of the total characteristic value, a second-level warning level is established.

[0063] Furthermore, the method for constructing the monitoring statistics report sheet includes:

[0064] Create a blank report sheet, and create six rows of data in the report sheet;

[0065] From top to bottom, the location information, energy consumption area, total power consumption, abnormal energy consumption area, warning characteristics and warning level of the area to be tested are respectively imported into six data rows to obtain an initial report sheet;

[0066] Set a remark box on the initial report sheet, and import the current time into the remark box to generate a monitoring statistics report sheet.

[0067] The technical effects and advantages of the online monitoring and statistical system for power energy consumption of the present invention are as follows:

[0068] The present invention obtains the location information of the power consumption units in the area to be tested, marks the monitoring points corresponding to the location information in the electronic map, and generates an energy consumption distribution map. The location of the power consumption units participating in the online monitoring and statistics of the power energy consumption in the area to be tested can be located, and the location of the online monitoring and statistics can be determined on the electronic map, so as to achieve the accuracy of the location of the online monitoring and statistics area. In combination with obtaining the energy consumption characteristics in the energy consumption abnormal area, the energy consumption characteristics are early-warning identified, early-warning characteristics are identified from the energy consumption characteristics, the number of early-warning characteristics is counted, the energy consumption early-warning level is formulated, and a monitoring and statistics report sheet corresponding to the area to be tested is constructed. The power energy consumption in the area to be tested with abnormal power consumption can be partitioned and quickly monitored online, and the monitoring and statistics effect of breaking the whole into parts in the area to be tested can be achieved. The actual situation corresponding to the power energy consumption in the area to be tested can also be early-warned and analyzed, and correct data support can be provided for the subsequent online optimization and adjustment of the power supply and distribution in the area to be tested, thereby ensuring that the power energy consumption in the area to be tested can be accurately and efficiently monitored and counted, and a solid foundation is laid for the power management department to optimize and adjust the power supply in the area to be tested. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 A schematic diagram of a module of an online monitoring and statistical system for power consumption provided in the first embodiment of the present invention;

[0070] Figure 2 A schematic diagram of a flow chart of a method for online monitoring and statistical analysis of power consumption provided in the second embodiment of the present invention;

[0071] Figure 3 A schematic diagram of a structural diagram of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] Example 1: Please refer to Figure 1 As shown, the online monitoring and statistical system for power consumption described in this embodiment is applied to a monitoring and statistical platform, and includes:

[0074] The energy consumption distribution map module obtains the location information of the electricity users in the area to be tested, marks the monitoring points corresponding to the location information in the electronic map, and generates an energy consumption distribution map;

[0075] The area to be tested refers to the area where online monitoring and statistics of power energy consumption are required. As the target area for power energy consumption monitoring and statistics, the power energy consumption statistics of each area to be tested are independent, and the power consumption unit refers to the power consumption entity corresponding to the online monitoring and statistics of power energy consumption in the area to be tested, and serves as the object of subsequent power energy consumption monitoring and statistics;

[0076] The location information is used to indicate the specific location of the electricity user in the area to be tested, so that the location of each electricity user can be accurately located. It also provides accurate location data support for subsequent online monitoring and statistics of power consumption in the area to be tested.

[0077] Methods for obtaining location information include:

[0078] The electronic payment slips of A electricity users in the tested area are queried one by one through the power management system, and the electronic payment slip of the last payment time is recorded as a valid payment slip, thereby obtaining A valid payment slips;

[0079] Through natural language processing technology, semantic recognition is performed on the user addresses on A valid payment slips one by one to obtain A jurisdiction semantics, A block semantics and A house number semantics;

[0080] The jurisdiction semantics, block semantics and house number semantics belonging to the same electricity user are matched one by one and summarized to generate A pieces of location information.

[0081] It should be noted that after the location information is obtained, the location information at this time can represent the specific jurisdiction, street and house number information of the electricity user, so that the location of each electricity user can be accurately located.

[0082] After obtaining the location information of the power user, it is necessary to mark the location information of the power user on the electronic map, so that the location of the power user can be effectively and obviously highlighted on the electronic map, and provide location data support for subsequent online monitoring and statistics of the power user. At the same time, an energy consumption distribution map is also generated, so that the energy consumption distribution map can provide graphic support for the power users who need power consumption monitoring and statistics in the tested area;

[0083] The method for generating the energy consumption distribution map includes:

[0084] The electronic map of the area to be tested is queried through the map management system, and the locations of all electricity users are marked one by one on the electronic map as the original points;

[0085] The location information of the original points is queried one by one and recorded as the original information, and the original points whose original information is consistent with the location information of the electricity user are recorded as monitoring points, and B monitoring points are obtained;

[0086] On the electronic map, the original points except for B monitoring points are removed, and the power supply lines supplying power to the B monitoring points are marked one by one to generate an energy consumption distribution map.

[0087] It should be noted that the power supply line is used to supply electricity to the power consumption unit corresponding to the monitoring point, thereby ensuring that each power consumption unit on the energy consumption distribution map can have a matching power supply line and provide assistance for subsequent online monitoring and statistics of power consumption.

[0088] The regional division module identifies the power consumption attributes of the power consumption units and draws regional division lines in the energy consumption distribution map according to the power consumption attributes, thereby dividing the energy consumption distribution map into energy consumption areas;

[0089] The power consumption attribute refers to the ability to represent the power supply type of the power supply line of the power consumption unit, so as to effectively distinguish the power consumption units corresponding to the power supply lines of different power supply types, and provide a basis for the subsequent drawing of regional segmentation lines;

[0090] The power consumption attributes include industrial attributes, commercial attributes, residential attributes and mixed attributes; the industrial attribute means that the power supply lines for supplying electricity to the power users are industrial power lines, the commercial attribute means that the power supply lines for supplying electricity to the power users are commercial power lines, the residential attribute means that the power supply lines for supplying electricity to the power users are residential power lines, and the mixed attribute means that the power supply lines for supplying electricity to the power users include at least two types of industrial, commercial and residential power lines;

[0091] Methods for identifying industrial properties, commercial properties, residential properties, and mixed properties include:

[0092] The power management system queries the attribute boxes of the power supply lines connected to B monitoring points one by one, and identifies the attribute values ​​in the attribute boxes; the attribute boxes are data recording carriers for the attributes of the power supply lines corresponding to the monitoring points, and the attribute values ​​are the specific data in the attribute boxes, which can accurately distinguish the power consumption attributes of the monitoring points, and the attribute values ​​include 1, 2 and 3;

[0093] The power supply lines whose attribute values ​​only contain 1 are recorded as industrial lines, and the power consumption attributes of the power consumption units corresponding to the industrial lines are recorded as industrial attributes;

[0094] The power supply lines whose attribute values ​​only contain 2 are recorded as commercial lines, and the power consumption attributes of the power consumption units corresponding to the commercial lines are recorded as commercial attributes;

[0095] The power supply lines whose attribute values ​​only contain 3 are recorded as residential lines, and the power consumption attributes of the power consumption units corresponding to the residential lines are recorded as residential attributes;

[0096] A power supply line including at least two different attribute values ​​is recorded as a mixed line, and the power consumption attribute of the power consumption unit corresponding to the mixed line is recorded as a mixed attribute.

[0097] After the power consumption attributes of the power consumption units are identified, regional dividing lines for distinguishing different power consumption attributes can be drawn in the energy consumption distribution map according to the different power consumption attributes, so that the power consumption units with different power consumption attributes are correspondingly divided and energy consumption areas are formed. At this time, the power consumption attributes of all power consumption units in the energy consumption area are consistent;

[0098] The energy consumption area division methods include:

[0099] On the energy consumption distribution diagram, draw auxiliary lines connecting any two adjacent monitoring points one by one, and mark the middle points of the auxiliary lines to obtain the segmentation points;

[0100] The monitoring points with the same electricity consumption attributes are recorded as the same type of points, and the segmentation points located outside the same type of points are connected in sequence to form a primary segmentation line;

[0101] When the outer side of the primary dividing line is the outer boundary of the energy consumption distribution map, the primary dividing line is extended until it intersects with the outer boundary to generate a regional dividing line; when the outer side of the primary dividing line is the outer boundary, it means that there are no additional dividing points at both ends of the primary dividing line, and the outer boundaries are located at both ends of the primary dividing line. In this case, the two ends of the primary dividing line should be extended to connect them with the outer boundary;

[0102] When the outer side of the primary dividing line is not the outer boundary of the energy consumption distribution map, the primary dividing line is extended until the end of the primary dividing line is connected to form a closed loop structure, and the regional dividing line is generated; when the outer side of the primary dividing line is not the outer boundary, it means that there are additional dividing points at both ends of the primary dividing line. At this time, the two ends of the primary dividing line should be extended to connect with the end to form a closed loop structure;

[0103] The energy consumption distribution map is divided into adjacent energy consumption area.

[0104] When the energy consumption distribution map is divided into energy consumption areas, each energy consumption area now contains at least two monitoring points, that is, at least two electricity users, to ensure that each electricity user in each energy consumption area can collect sufficient power consumption data for subsequent online monitoring and statistics.

[0105] The energy consumption calculation module obtains the electricity consumption period of the area to be tested, counts the sub-energy consumption values ​​of the energy consumption area within the electricity consumption period, and calculates the total power energy consumption value of the area to be tested;

[0106] The electricity consumption period is the time span that affects the electricity consumption monitoring and statistics of the energy consumption areas in the tested area, so as to provide accurate time limit for the electricity consumption statistics of each energy consumption area. Therefore, the electricity consumption period is a time range. The first moment of the electricity consumption period is the starting moment, and the last moment is the end moment. The end moment of the electricity consumption period is the current moment for online monitoring and statistics. The starting moment of the electricity consumption period is the moment when the last electricity maintenance in the tested area ended. In summary, the period between the moment when the last electricity maintenance in the tested area ended and the current moment is the electricity consumption period.

[0107] The sub-energy consumption value refers to the power consumption of all power users in each energy consumption area during the power consumption period, so that the power consumption in each energy consumption area can be represented. After the sub-energy consumption value is counted, the power consumption of each energy consumption area is accurately recorded, and the sub-energy consumption values ​​of all energy consumption areas are accumulated to calculate the overall power consumption of the area to be measured, that is, the total power consumption value;

[0108] The calculation method of total power consumption includes:

[0109] Through the power management system to query one by one The power consumption of each energy consumption area at the starting time and the end time of the power consumption period are obtained respectively. Starting energy consumption value and End point energy consumption value;

[0110] Will The energy consumption values ​​of the end points are compared with the corresponding After subtracting the starting energy consumption values, we get Energy consumption value of each child;

[0111] The expression of sub-energy consumption value is:

[0112] ;

[0113] In the formula, For the Sub-energy consumption values ​​of each energy consumption area, =1,2... , For the The end point energy consumption value of each energy consumption area, For the Starting point energy consumption value of each energy consumption area;

[0114] Will After the individual energy consumption values ​​are accumulated, the total value of power energy consumption is obtained;

[0115] The expression of total power consumption is:

[0116] ;

[0117] In the formula, is the total power consumption, For the Sub-energy consumption values ​​of each energy consumption area.

[0118] It should be noted that each energy consumption area contains at least two electricity consumption units. Therefore, the sub-energy consumption value of each energy consumption area is usually greater than 0, and the total power consumption value of the measured area is usually greater than the sub-energy consumption value of a single energy consumption area. Only in extremely special circumstances, such as when all power supply lines corresponding to a certain energy consumption area are destroyed and there is no electricity consumption, the sub-energy consumption value of the energy consumption area will be infinitely close to 0. This special situation almost does not exist. Therefore, the total power consumption value will be greater than any sub-energy consumption value.

[0119] The abnormal area module compares the total power consumption of the area to be tested with the preset power consumption safety value, generates the energy consumption difference, and identifies the energy consumption abnormal area;

[0120] The energy consumption difference refers to the difference between the total power consumption of the area to be tested and the preset power consumption safety value, which can indicate whether the total power consumption of the area to be tested exceeds the preset safe power consumption range, thereby providing a basis for subsequent analysis of the power consumption of the area to be tested;

[0121] The energy consumption difference generation method includes:

[0122] The total power consumption value of the area to be tested is subtracted from the preset power consumption safety value to obtain the energy consumption difference value; the preset power consumption safety value is used to determine whether the current total power consumption value exceeds the limit when the total power consumption value of the area to be tested is maintained normally and safely during the power consumption period, and is used as a basis for judging whether the current total power consumption value exceeds the limit; the preset power consumption safety value is obtained by collecting a large number of historical maximum values ​​of the total power consumption value of the area to be tested when the area to be tested is maintained normally and safely during the power consumption period, and then calculating the average value;

[0123] The expression of energy consumption difference is:

[0124] ;

[0125] In the formula, is the energy consumption difference, It is the preset safety value of power consumption.

[0126] After obtaining the energy consumption difference of the area to be tested, it can be judged whether there is an abnormal energy consumption area in the energy consumption area according to the size of the energy consumption difference. Since the power supply lines of each area to be tested are independent, there will be no conflict between the overall power consumption of each area to be tested and other areas to be tested. As long as the total power consumption value of the area to be tested does not exceed the maximum power supply load of the power supply line, the area to be tested will not have excessive power consumption.

[0127] Because the energy consumption areas within the area to be tested can realize mutual dispatching of electric energy, when the total value of the electric energy consumption in the area to be tested does not exceed the preset safe value of electric energy consumption, there is no need to identify the abnormal energy consumption area. Only when the total value of the electric energy consumption in the area to be tested exceeds the preset safe value of electric energy consumption, there will be a certain or even multiple energy consumption areas with excessive sub-energy consumption values, and the energy consumption area with excessive sub-energy consumption values ​​will be recorded as an abnormal energy consumption area;

[0128] Methods for identifying abnormal energy consumption areas include:

[0129] when When it is greater than 0, the total power consumption of the area to be tested exceeds the preset power consumption safety value. At this time, the power consumption of the area to be tested is too large, and there is an abnormal energy consumption area in the area to be tested;

[0130] Will The sub-energy consumption values ​​of each energy consumption area are compared with the corresponding sub-calibration values ​​in turn; the sub-calibration value is used to calibrate the upper limit of the power consumption of each energy consumption area under normal and safe power consumption conditions, and serves as a data basis for judging whether the energy consumption area is an abnormal energy consumption area;

[0131] If the sub-energy consumption value of the energy consumption area is greater than the sub-calibration value, the energy consumption area is recorded as an abnormal energy consumption area, and D abnormal energy consumption areas are obtained, D = 1, 2... ;

[0132] If the sub-energy consumption value of the energy consumption area is less than or equal to the sub-calibration value, the energy consumption area is not recorded as an abnormal energy consumption area;

[0133] when When it is less than or equal to 0, the total power energy consumption of the area to be tested does not exceed the preset power energy consumption safety value. At this time, the power energy consumption of the area to be tested is small, and there is no abnormal energy consumption area in the area to be tested.

[0134] A feature recognition module obtains energy consumption features in the energy consumption abnormality area, performs early warning recognition on the energy consumption features, and recognizes early warning features from the energy consumption features;

[0135] Energy consumption characteristics are used to identify specific data that causes excessive power consumption in energy consumption abnormal areas, and are used as the object for subsequent power consumption record display and optimization adjustment of energy consumption abnormal areas to ensure that power consumption in the tested area can remain normal and safe;

[0136] Energy consumption characteristics include daily electricity consumption, peak electricity consumption value and daily electricity consumption duration; daily electricity consumption refers to the total electricity consumption of the energy consumption abnormal area in each day, peak electricity consumption value refers to the electricity consumption of the energy consumption abnormal area during the peak electricity consumption period of each day, and daily electricity consumption duration refers to the time span of electricity consumption in the energy consumption abnormal area every day;

[0137] The daily electricity consumption, peak electricity consumption value and daily electricity consumption duration are obtained by querying the daily electricity consumption log in the power management system. The daily electricity consumption log is a log in the power management system that comprehensively represents the electricity consumption of each energy consumption area in the measured area on each day. It can record the electricity consumption of the energy consumption area on each day, including but not limited to daily electricity consumption, peak electricity consumption value, daily electricity consumption duration, idle periods of electricity consumption, etc.

[0138] After the energy consumption characteristics are obtained, early warning identification can be performed on the energy consumption characteristics to determine whether negative phenomena have occurred in the energy consumption characteristics of the abnormal energy consumption area, and the energy consumption characteristics with negative phenomena will be marked as early warning characteristics. At this time, the early warning characteristics can be used as the object of display for online monitoring statistics of power energy consumption in the area to be tested;

[0139] Methods for identifying early warning features include:

[0140] First, the daily electricity consumption is compared with the upper limit of daily electricity consumption; the upper limit of daily electricity consumption is the maximum value of daily electricity consumption when there is no negative phenomenon in the energy consumption abnormal area, so it can be used as a basis for judging the daily electricity consumption;

[0141] When the daily power consumption is greater than the upper limit of the daily power consumption, the daily power consumption in the energy consumption abnormal area has a negative phenomenon, and the daily power consumption is identified as a warning feature;

[0142] Secondly, the peak power consumption value is compared with the peak power consumption upper limit value; the peak power consumption upper limit value is used to determine the peak power consumption value when there is no negative phenomenon in the energy consumption abnormal area, so as to serve as a basis for judging the peak power consumption value;

[0143] When the peak power consumption value is greater than the peak power consumption upper limit, the peak power consumption value in the energy consumption abnormal area has a negative phenomenon, and the peak power consumption value is identified as a warning feature;

[0144] Then, the daily electricity consumption duration is compared with the daily duration upper limit value; the daily duration upper limit value is the maximum value of the daily electricity consumption duration when there is no negative phenomenon in the energy consumption abnormality area, so as to serve as a basis for judging the daily electricity consumption duration;

[0145] When the daily electricity consumption duration is greater than the upper limit of the daily electricity consumption duration, the daily electricity consumption duration in the abnormal energy consumption area has a negative phenomenon, and the daily electricity consumption duration is identified as a warning feature.

[0146] The statistical report module counts the number of warning features, formulates the energy consumption warning level, and constructs a monitoring statistical report corresponding to the area to be tested;

[0147] After the early warning features are obtained, the early warning features in each energy consumption abnormality area can be counted to obtain the number of early warning features in each energy consumption abnormality feature, and used as a basis for judging and formulating the energy consumption early warning level of the area to be tested, and also as an indication of the degree of abnormal excess power energy consumption in the area to be tested;

[0148] The energy consumption warning level includes the first warning level and the second warning level. The first warning level corresponds to a smaller number of areas to be tested with warning features, while the second warning level corresponds to a larger number of areas to be tested with warning features.

[0149] The methods for establishing the first and second warning levels include:

[0150] Count the number of all warning features in D energy consumption abnormal areas to obtain the total warning value;

[0151] Statistics The number of all energy consumption features in the energy consumption area, and the total feature value is obtained;

[0152] When the total value of the warning is less than one-third of the total value of the characteristic, the number of warning characteristics in the tested area is small, and the negative phenomenon of power consumption in the tested area is within the controllable range, then a first-level warning level is formulated;

[0153] When the total warning value is greater than or equal to one-third of the total characteristic value, the number of warning characteristics appearing in the tested area is large, and the negative phenomenon of power energy consumption in the tested area is uncontrollable, then a second-level warning level is formulated.

[0154] The monitoring and statistical report is used to display the data after the complete online monitoring and statistics of the power energy consumption in the tested area, so as to serve as a data reference for the power management department to optimize the power energy consumption in the tested area, and also to show the results of the online monitoring and statistics of the power energy consumption in the tested area;

[0155] The construction method of the monitoring statistics report sheet includes:

[0156] Create a report form with blank content, and create six data rows arranged up and down in the report form; the report form is used to form the basis of the monitoring and statistical report form, and realizes the overall carrier of online monitoring and statistical data, while the data row is the smallest unit of the report form, and is used to provide location restrictions for importing specific monitoring and statistical data;

[0157] From top to bottom, the location information, energy consumption area, total power consumption, abnormal energy consumption area, warning characteristics and warning level of the area to be tested are respectively imported into six data rows to obtain an initial report sheet;

[0158] A remark box is set on the initial report form, and the current time is imported into the remark box to generate a monitoring statistics report form; by importing the current time into the remark box, the corresponding time of each online monitoring statistic in the measured area can be accurately marked, which can distinguish the online monitoring and statistical results of power energy consumption at each different time on the one hand, and facilitate quick query and understanding of the online monitoring and statistical results of power energy consumption at different times in the measured area on the other hand, thereby improving the convenience of the power management department in optimizing and adjusting the power energy consumption in the measured area.

[0159] In this embodiment, by obtaining the location information of the power users in the area to be tested and marking the monitoring points corresponding to the location information in the electronic map, an energy consumption distribution map is generated, so that the locations of the power users participating in the online monitoring and statistics of electric energy consumption in the area to be tested can be located, and the locations of the online monitoring and statistics can be determined on the electronic map, thereby achieving the accuracy of the location of the online monitoring and statistics area, identifying the power consumption attributes of the power users, and drawing regional dividing lines in the energy consumption distribution map, dividing the energy consumption distribution map into energy consumption areas, and by dividing the area to be tested into energy consumption areas, the effect of breaking up the area to be tested into smaller parts can be achieved, which not only reduces the burden of online monitoring and statistics in each energy consumption area, but also achieves the effect of accurately distinguishing the same type of power users;

[0160] By obtaining the electricity consumption period of the area to be tested, counting the sub-energy consumption values ​​of the energy consumption area within the electricity consumption period, and calculating the total power energy consumption of the area to be tested, the total power energy consumption of the area to be tested is compared with the preset power energy consumption safety value to generate the energy consumption difference, and identify the energy consumption abnormal area, the area with excessive power consumption can be accurately identified, and combined with the energy consumption characteristics in the abnormal energy consumption area, and early warning identification of the energy consumption characteristics, early warning characteristics are identified from the energy consumption characteristics, the number of early warning characteristics is counted, the energy consumption early warning level is formulated, and a monitoring and statistical report corresponding to the area to be tested is constructed, which can achieve accurate online monitoring and statistical effects on the power consumption of the area to be tested with abnormal power consumption, and can also perform early warning analysis on the actual situation corresponding to the power consumption of the area to be tested, and provide correct data support for the subsequent online optimization and adjustment of power supply and distribution in the area to be tested, thereby ensuring that the power consumption of the area to be tested can be accurately and efficiently monitored and counted, and laying a solid foundation for the power management department to optimize and adjust the power supply in the area to be tested.

[0161] Example 2: Please refer to Figure 2 As shown, the part not described in detail in this embodiment is described in the first embodiment, which provides an online monitoring and statistical method for power energy consumption, which is applied to a monitoring and statistical platform and is implemented based on an online monitoring and statistical system for power energy consumption, including:

[0162] S1: Obtain the location information of the electricity users in the area to be tested, mark the monitoring points corresponding to the location information in the electronic map, and generate an energy consumption distribution map;

[0163] S2: Identify the electricity consumption attributes of the electricity users, which include industrial attributes, commercial attributes, residential attributes, and mixed attributes. Draw regional dividing lines in the energy consumption distribution map based on the electricity consumption attributes, and divide the energy consumption distribution map into energy consumption areas.

[0164] S3: Obtain the electricity consumption period of the area to be measured, count the sub-energy consumption values ​​of the energy consumption area within the electricity consumption period, and calculate the total power energy consumption value of the area to be measured;

[0165] S4: comparing the total power consumption value of the area to be tested with the preset power consumption safety value, generating an energy consumption difference, and identifying the energy consumption abnormal area;

[0166] S5: Obtain energy consumption characteristics in the energy consumption abnormality area, the energy consumption characteristics include daily power consumption, peak power consumption peak value and daily power consumption duration, and perform early warning identification on the energy consumption characteristics, and identify early warning characteristics from the energy consumption characteristics;

[0167] S6: Count the number of early warning features, formulate energy consumption early warning levels, and construct a monitoring statistical report sheet corresponding to the area to be tested.

[0168] Example 3: Please refer to Figure 3 As shown, this embodiment discloses an electronic device, including a processor and a memory;

[0169] Wherein, the memory stores a computer program that can be called by the processor;

[0170] The processor executes the method for online monitoring and statistical analysis of electric energy consumption by calling the computer program stored in the memory.

[0171] Since the electronic device introduced in this embodiment is an electronic device used to implement an online power energy consumption statistical method in Example 2 of this application, based on the online power energy consumption statistical method introduced in the embodiment of this application, the technical personnel of this field can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of this application is not described in detail here. As long as the technical personnel of this field implement the electronic device used in the online power energy consumption statistical method in the embodiment of this application, it belongs to the scope of protection of this application.

[0172] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An online monitoring and statistical system for power energy consumption, applied to a monitoring and statistical platform, characterized in that: include: The energy consumption distribution map module is used to obtain the location information of the electricity users in the area to be tested, mark the monitoring points corresponding to the location information in the electronic map, and generate an energy consumption distribution map; The regional division module is used to identify the power consumption attributes of the power consumption units, which include industrial attributes, commercial attributes, residential attributes and mixed attributes, and draw regional dividing lines in the energy consumption distribution map according to the power consumption attributes, and divide the energy consumption distribution map into energy consumption areas; The energy consumption calculation module is used to obtain the power consumption period of the area to be tested, count the sub-energy consumption values ​​of the energy consumption area within the power consumption period, and calculate the total power energy consumption value of the area to be tested; The abnormal area module is used to compare the total power consumption value of the area to be tested with the preset power consumption safety value, generate the energy consumption difference, and identify the energy consumption abnormal area; A feature recognition module is used to obtain energy consumption features in energy consumption abnormality areas, including daily power consumption, peak power consumption value and daily power consumption duration, and to perform early warning recognition on energy consumption features, and to identify early warning features from energy consumption features; The statistical report module is used to count the number of warning features, formulate energy consumption warning levels, and construct a monitoring statistical report corresponding to the area to be tested.

2. The online monitoring and statistical system for power energy consumption according to claim 1 is characterized in that: Methods for obtaining location information include: The electronic payment slips of A electricity users in the tested area are queried one by one through the power management system, and the electronic payment slip of the last payment time is recorded as a valid payment slip, thereby obtaining A valid payment slips; Through natural language processing technology, semantic recognition is performed on the user addresses on A valid payment slips one by one to obtain A jurisdiction semantics, A block semantics and A house number semantics; The jurisdiction semantics, block semantics and house number semantics belonging to the same electricity user are matched one by one and summarized to generate A pieces of location information.

3. The online monitoring and statistical system for power consumption according to claim 2 is characterized in that: The method for generating the energy consumption distribution map includes: The electronic map of the area to be tested is queried through the map management system, and the locations of all electricity users are marked one by one on the electronic map as the original points; The location information of the original points is queried one by one and recorded as the original information, and the original points whose original information is consistent with the location information of the electricity user are recorded as monitoring points, and B monitoring points are obtained; On the electronic map, the original points except for B monitoring points are removed, and the power supply lines supplying power to the B monitoring points are marked one by one to generate an energy consumption distribution map.

4. The online monitoring and statistical system for power energy consumption according to claim 3 is characterized in that: Methods for identifying industrial properties, commercial properties, residential properties, and mixed properties include: The power management system queries the attribute boxes of the power supply lines connected to the B monitoring points one by one, and identifies the attribute values ​​in the attribute boxes; The power supply lines whose attribute values ​​only contain 1 are recorded as industrial lines, and the power consumption attributes of the power consumption units corresponding to the industrial lines are recorded as industrial attributes; The power supply lines whose attribute values ​​only contain 2 are recorded as commercial lines, and the power consumption attributes of the power consumption units corresponding to the commercial lines are recorded as commercial attributes; The power supply lines whose attribute values ​​only contain 3 are recorded as residential lines, and the power consumption attributes of the power consumption units corresponding to the residential lines are recorded as residential attributes; A power supply line including at least two different attribute values ​​is recorded as a mixed line, and the power consumption attribute of the power consumption unit corresponding to the mixed line is recorded as a mixed attribute.

5. The online monitoring and statistical system for power energy consumption according to claim 4 is characterized in that: The energy consumption area division methods include: On the energy consumption distribution diagram, draw auxiliary lines connecting any two adjacent monitoring points one by one, and mark the middle points of the auxiliary lines to obtain the segmentation points; The monitoring points with the same electricity consumption attributes are recorded as the same type of points, and the segmentation points located outside the same type of points are connected in sequence to form a primary segmentation line; When the outer side of the primary dividing line is the outer boundary of the energy consumption distribution map, the primary dividing line is extended until it intersects with the outer boundary to generate a regional dividing line; When the outer side of the primary dividing line is not the outer boundary of the energy consumption distribution map, the primary dividing line is extended until the ends of the primary dividing line are connected to form a closed loop structure, thereby generating a regional dividing line; The energy consumption distribution map is divided into adjacent energy consumption area.

6. The online monitoring and statistical system for power consumption according to claim 5 is characterized in that: The period from the time when the last power maintenance in the tested area was completed to the current time is the power consumption period; The calculation method of total power consumption includes: Through the power management system, The power consumption of each energy consumption area at the starting time and the end time of the power consumption period are obtained respectively. Starting energy consumption value and End point energy consumption value; Will The energy consumption values ​​of the end points are compared with the corresponding After subtracting the starting energy consumption values, we get Energy consumption value of each child; The expression of sub-energy consumption value is: ； In the formula, For the The sub-energy consumption value of each energy consumption area, =1,2... , For the The end point energy consumption value of each energy consumption area, For the Starting point energy consumption value of each energy consumption area; Will After the individual energy consumption values ​​are accumulated, the total value of power energy consumption is obtained; The expression of total power consumption is: ； In the formula, is the total power consumption, For the Sub-energy consumption values ​​of each energy consumption area.

7. The online monitoring and statistical system for power energy consumption according to claim 6 is characterized in that: The energy consumption difference generation method includes: Subtract the total power consumption value of the area to be tested from the preset power consumption safety value to obtain the energy consumption difference value; The expression of energy consumption difference is: ； In the formula, is the energy consumption difference, It is the preset safety value of power energy consumption; Methods for identifying abnormal energy consumption areas include: when When it is greater than 0, The sub-energy consumption values ​​of each energy consumption area are compared with the corresponding sub-calibration values ​​in turn; If the sub-energy consumption value of the energy consumption area is greater than the sub-calibration value, the energy consumption area is recorded as an abnormal energy consumption area, and D abnormal energy consumption areas are obtained, D = 1, 2... ; If the sub-energy consumption value of the energy consumption area is less than or equal to the sub-calibration value, the energy consumption area is not recorded as an abnormal energy consumption area; when When it is less than or equal to 0, there is no abnormal energy consumption area in the tested area.

8. The online monitoring and statistical system for power energy consumption according to claim 7 is characterized in that: Methods for identifying early warning features include: First, the daily electricity consumption is compared with the upper limit of the daily electricity consumption. When the daily electricity consumption is greater than the upper limit of the daily electricity consumption, the daily electricity consumption is identified as a warning feature; Secondly, the peak power consumption value is compared with the peak power consumption upper limit value. When the peak power consumption value is greater than the peak power consumption upper limit value, the peak power consumption value is identified as a warning feature; Then, the daily electricity usage duration is compared with the daily duration upper limit. When the daily electricity usage duration is greater than the daily duration upper limit, the daily electricity usage duration is identified as a warning feature.

9. The online monitoring and statistical system for power energy consumption according to claim 8 is characterized in that: The energy consumption warning level includes the first-level warning level and the second-level warning level. The formulation methods of the first-level warning level and the second-level warning level include: Count the number of all warning features in D energy consumption abnormal areas to obtain the total warning value; Statistics The number of all energy consumption features in the energy consumption area, and the total feature value is obtained; When the total warning value is less than one-third of the total characteristic value, a first-level warning level is formulated; When the total warning value is greater than or equal to one-third of the total characteristic value, a second-level warning level is established.

10. The online monitoring and statistical system for power energy consumption according to claim 9 is characterized in that: The construction method of the monitoring statistics report sheet includes: Create a blank report sheet, and create six rows of data in the report sheet; From top to bottom, the location information, energy consumption area, total power consumption, abnormal energy consumption area, warning characteristics and warning level of the area to be tested are respectively imported into six data rows to obtain an initial report sheet; Set a remark box on the initial report sheet, and import the current time into the remark box to generate a monitoring statistics report sheet.

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