An intelligent management platform for energy consumption monitoring

Abstract

The present invention relates to the field of data processing technology, and in particular to an energy consumption monitoring intelligent management platform, including an energy consumption management system, wherein the management system includes a region division module, an energy consumption period accounting module, an energy consumption period analysis module, an energy consumption coefficient calculation module, an energy consumption threshold generation module, and an energy consumption alarm module. The present invention divides sub-regions, collects and analyzes data on the sub-regions, determines the characteristic energy consumption period of the sub-regions, calculates the energy consumption coefficient of the collection period of the sub-region based on the characteristic energy consumption period, outputs the energy consumption threshold under the energy consumption coefficient through an energy consumption constraint model, compares it with the period energy consumption ratio, and issues relevant alarms; based on different collection cycles, it can determine whether the energy consumption ratio of the sub-region and the residential area is abnormal, so as to facilitate the heat utility station to adjust the energy consumption supply of the sub-region, minimize the heat loss of energy consumption, improve energy utilization, and ensure the efficiency of the energy supervision process.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to an intelligent management platform for energy consumption monitoring. Background Art

[0002] Energy consumption management is a system that centrally monitors, analyzes, reports and controls the energy consumption of enterprises and organizations. It is particularly important for public heating stations. Due to their wide range and large energy supply, energy consumption management based on public heating stations is essential.

[0003] In the existing energy consumption management platform, due to the different energy consumption characteristics of different regions, the energy consumption in some regions is highly volatile, and the energy consumption analysis process in the region is computationally intensive. In addition, in terms of statistics on the characteristic energy consumption time periods of different regions, the existing management system sets a hard threshold for energy consumption, that is, an alarm is issued if the hard threshold is exceeded, and no alarm is issued if the hard threshold is not exceeded. It is difficult to adjust the energy consumption thresholds for different time periods and regions according to the different characteristic energy consumption time periods of different regions, and to manage regional energy consumption based on the current energy consumption thresholds. This makes it difficult to facilitate public construction stations to adjust the energy consumption supply in the region in a timely manner and reduce energy consumption losses, and the effect of energy consumption analysis and management is not good. Summary of the Invention

[0004] The purpose of the present invention is to solve the problems in the background technology and to propose an intelligent management platform for energy consumption monitoring.

[0005] In order to achieve the above-mentioned object, the present invention adopts the following technical solutions: an energy consumption monitoring intelligent management platform, including an energy consumption management system, which includes a regional division module, an energy consumption period accounting module, an energy consumption period analysis module, an energy consumption coefficient calculation module, an energy consumption threshold generation module and an energy consumption alarm module;

[0006] A region division module is used to take the energy supply area as the target area and divide the target area into sub-areas; the sub-areas include residential areas and commercial areas;

[0007] The energy consumption period calculation module is used to periodically collect the energy consumption of the sub-area and use it as the periodic energy consumption, and calculate the characteristic energy consumption period of the sub-area based on the periodic energy consumption;

[0008] An energy consumption period analysis module is used to mark the corresponding characteristic energy consumption period as the first period or the second period according to the type of the sub-area, and calculate the overlapping period between the first period and the second period;

[0009] Energy consumption coefficient calculation module, which calculates the energy consumption coefficient of the sub-area corresponding to the collection period according to the overlapping time period;

[0010] The energy consumption threshold generation module is used to constrain the energy consumption coefficient according to the energy consumption constraint model and output the energy consumption threshold of the sub-region corresponding to the collection period;

[0011] The energy consumption alarm module is used to monitor the energy consumption of sub-areas based on energy consumption thresholds.

[0012] As a further solution of the present invention, the method for calculating the characteristic energy consumption period of the sub-region includes:

[0013] S1, the energy consumption of the sub-area obtained by the collection cycle is marked as period energy consumption Ei, where i is the collection cycle number; through the formula The energy consumption analysis value Fi of the collection period is calculated; EH is the daily energy consumption of the sub-area; Ey is the standard energy consumption ratio;

[0014] S2. Perform data analysis on the energy consumption analysis value Fi to determine a number of continuous number sequences consisting of acquisition cycle numbers;

[0015] S3. Process several consecutive number sequences to obtain corresponding consecutive time periods, and use them as the main time periods of the day.

[0016] As a further solution of the present invention, the method for calculating the characteristic energy consumption period of the sub-region further includes:

[0017] S4. Obtain the main time periods of the current day and the next day according to steps S1 to S3, and mark them as the main time period of the current day and the main time period of the next day, respectively. Determine whether there are multiple main time periods of the current day. If there are not multiple main time periods of the current day, use the main time period of the current day as the sample time period and execute step S5. Otherwise, execute step S401.

[0018] S401, determine the latest main time period of the day in chronological order, mark it as the first target time period, and determine whether there is a main time period of the next day that is continuous with the first target time period;

[0019] If the next day's main period is continuous with the first target period, mark the next day's main period as the second target period, combine the first target period and the second target period to obtain the sample period of the sub-region, and execute step S5; otherwise, execute step S402;

[0020] S402: If there is no continuous trend between the main time period of the next day and the first target time period, all of the first target time periods are used as sample time periods for the current day area, and step S5 is executed;

[0021] S5. Construct a characteristic energy consumption period of the sub-region based on several sample periods of the sub-region.

[0022] As a further solution of the present invention, with respect to step S3, a method for processing a plurality of consecutive numbering sequences is as follows:

[0023] Compare several target numbers in the continuous number sequence, determine the minimum target number and the maximum target number in the continuous number sequence, and mark them as the first boundary time number respectively. and the second boundary time number , based on the first boundary time number and the second boundary time number Calculate the continuous time periods formed by the target numbers in the continuous number sequence and use them as the main time periods of the day.

[0024] Calculate the corresponding boundary duration according to the boundary time number. The calculation formula for the boundary duration is as follows:

[0025] ; is the boundary duration, is the boundary time number, x is the boundary time number subscript, x∈(1,2), T is the acquisition period, and t0 is the start time; based on the boundary time calculation formula, the boundary time subscripts are respectively taken to obtain the first boundary time t1 and the second boundary time t2;

[0026] The first boundary duration t1 and the second boundary duration t2 are respectively converted into a first boundary time and a second boundary time by using a clock, and a continuous time period is constructed based on the first boundary time and the second boundary time.

[0027] As a further solution of the present invention, the method for calculating the energy consumption coefficient of the corresponding sub-area is:

[0028] Mark the sub-region corresponding to the overlapping time period as the target sub-region, use the overlapping time period as the processing time period of the target sub-region, divide the collection cycle processing time period to obtain several sub-time periods of the processing time period, determine whether there is a sub-time period within the collection time period, and if there is a sub-time period within the collection time period, mark the sub-time period and the corresponding processing time period as the target sub-time period and the target total time period, respectively. Count the duration of the target sub-time period and the target total time period, and obtain the target sub-time period duration and the target total time period duration;

[0029] By formula Calculate the energy consumption coefficient of the target sub-area ; is the target sub-period duration, is the total target time period, T is the acquisition cycle length, is a constant; is the basic energy consumption coefficient, and j is the sub-area number.

[0030] As a further solution of the present invention, the expression of the energy consumption constraint model is:

[0031] ;

[0032] is the energy consumption threshold based on the sub-area acquisition cycle, is the standard energy consumption ceiling ratio of the sub-area.

[0033] As a further solution of the present invention, the method for supervising the energy consumption ratio of the sub-areas is:

[0034] The total energy consumption of the sub-area and the target area is obtained according to the collection cycle, and used as the periodic sub-area energy consumption and the periodic target area energy consumption respectively. The periodic sub-area energy consumption and the periodic target area energy consumption are ratio-calculated to obtain the periodic energy consumption ratio of the sub-area. The periodic energy consumption ratio is compared with the corresponding energy consumption threshold. If the periodic energy consumption ratio is not greater than the energy consumption threshold, no alarm is issued.

[0035] If the periodic energy consumption ratio is greater than the energy consumption threshold, an alarm is issued.

[0036] As a further solution of the present invention, the energy consumption management system is also connected to a sub-area energy consumption monitoring and statistics module, which is used to integrate the energy consumption data of different sub-areas, take daily energy consumption, quarterly energy consumption and annual energy consumption as data items respectively, sum the same data items of different sub-areas, and obtain the daily energy consumption, quarterly energy consumption and annual energy consumption of the target area as the total energy consumption data of the target area, and establish an energy consumption data form based on the total energy consumption data.

[0037] Compared with the existing technology, the advantages of the present invention are: by dividing the energy supply area to obtain sub-areas, by collecting and analyzing data on the sub-areas, the periodic energy consumption of the sub-areas is obtained, based on the calculation of the periodic energy consumption of different sub-areas, the characteristic energy consumption period of the sub-area is determined, and the overlapping period is calculated according to the characteristic energy consumption period of different sub-areas, the energy consumption coefficient of the collection period of the sub-area is timely calculated according to the overlapping period, and the energy consumption threshold under the energy consumption coefficient is output through the energy consumption constraint model, by monitoring the periodic energy consumption ratio of the sub-area and comparing it with the energy consumption threshold, if the periodic energy consumption ratio is not greater than the energy consumption threshold, no alarm is issued; if the periodic energy consumption ratio is greater than the energy consumption threshold, an alarm is issued; based on different collection cycles, it can be judged whether there is an abnormality in the energy consumption ratio of the sub-area and the residential area, which is convenient for the public heating station to adjust the energy supply of different areas in a timely manner, improve the flexibility of system management, increase the energy consumption supply in high-energy consumption areas and reduce the energy consumption supply in low-energy consumption areas, minimize the heat loss of energy consumption, improve energy utilization, and ensure the efficiency of the energy supervision process. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a system module structure diagram of the present invention. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0040] Reference Figure 1 , an energy consumption monitoring intelligent management platform, including an energy consumption management system, the energy consumption management system includes a region division module, an energy consumption period accounting module, an energy consumption period analysis module, an energy consumption coefficient calculation module, an energy consumption threshold generation module and an energy consumption alarm module;

[0041] A region division module is used to take the energy supply area as the target area and divide the target area into sub-areas; the sub-areas include residential areas and commercial areas;

[0042] The sub-area energy consumption monitoring module is used to monitor and collect the daily, quarterly and annual energy consumption of the sub-area, generate energy consumption statistical charts and use them as the energy consumption data of the sub-area;

[0043] The energy consumption period calculation module is used to periodically collect the energy consumption of the sub-area and use it as the periodic energy consumption, and calculate the characteristic energy consumption period of the sub-area based on the periodic energy consumption;

[0044] Methods for calculating characteristic energy consumption periods of sub-regions include:

[0045] S1, the energy consumption of the sub-area obtained by the collection cycle is marked as period energy consumption Ei, where i is the collection cycle number; through the formula The energy consumption analysis value Fi of the collection period is calculated; EH is the daily energy consumption of the sub-area; Ey is the standard energy consumption ratio;

[0046] S2. Perform data analysis on the energy consumption analysis value Fi to determine a number of continuous number sequences consisting of acquisition cycle numbers;

[0047] Specifically, if the energy consumption analysis value Fi is not less than 0, the corresponding collection period is marked as the target period; if the energy consumption analysis value Fi is less than 0, it is not marked; the collection period number of the target period is obtained and used as the target number, the target numbers are sorted and traversed, continuous target numbers are determined, and a continuous number sequence is generated based on the continuous target numbers;

[0048] S3. Processing a number of consecutive number sequences to obtain corresponding consecutive time periods, and using them as the main time periods of the day;

[0049] Regarding step S3, the method for processing a plurality of consecutive number sequences is as follows:

[0050] Compare several target numbers in the continuous number sequence, determine the minimum target number and the maximum target number in the continuous number sequence, and mark them as the first boundary time number respectively. and the second boundary time number , based on the first boundary time number and the second boundary time number Calculate the consecutive time periods formed by the target numbers in the consecutive number sequence and use them as the main time periods of the day;

[0051] Calculate the corresponding boundary duration according to the boundary time number. The calculation formula for the boundary duration is as follows:

[0052] ; is the boundary duration, is the boundary time number, x is the boundary time number subscript, x∈(1,2), T is the acquisition period, and t0 is the start time. Based on the boundary time calculation formula, the boundary time subscripts are respectively taken to obtain the first boundary time t1 and the second boundary time t2. It should be noted that t0 is specifically 00:00:00.

[0053] Convert the first boundary duration t1 and the second boundary duration t2 into a first boundary time and a second boundary time respectively using a clock, and construct a continuous time period based on the first boundary time and the second boundary time;

[0054] S4. Obtain the main time periods of the current day and the next day according to steps S1 to S3, and mark them as the main time period of the current day and the main time period of the next day, respectively. Determine whether there are multiple main time periods of the current day. If there are not multiple main time periods of the current day, use the main time period of the current day as the sample time period and execute step S5. Otherwise, execute step S401.

[0055] S401, determine the latest main time period of the day in chronological order, mark it as the first target time period, and determine whether there is a main time period of the next day that is continuous with the first target time period;

[0056] It should be noted that if the first target period is A1:B1:00-24:00:00, and the next day's main period is 00:00:00-A2:B2:00, then it is determined that the first target period and the next day's main period are continuous; otherwise, it is determined that the first target period and the next day's main period are not continuous;

[0057] If the next day's main period is continuous with the first target period, mark the next day's main period as the second target period, combine the first target period and the second target period to obtain the sample period of the sub-region, and execute step S5; otherwise, execute step S402;

[0058] S402: If there is no continuous trend between the main time period of the next day and the first target time period, all of the first target time periods are used as sample time periods for the current day area, and step S5 is executed;

[0059] S5. Constructing a characteristic energy consumption period of the sub-region based on a number of sample periods of the sub-region;

[0060] Specifically, the method for constructing the characteristic energy consumption period of the sub-region is:

[0061] Determine the first boundary time of the sample period and the second boundary time of the sample period, sum and average the first boundary time of the sample period and the second boundary time of the sample period in sequence, use the calculated results as the first characteristic boundary time and the second characteristic boundary time, respectively, and construct a characteristic energy consumption period based on the first characteristic boundary time and the second characteristic boundary time; it should be noted that the characteristic energy consumption period adopts a 24-hour system;

[0062] An energy consumption period analysis module is used to mark the corresponding characteristic energy consumption period as the first period or the second period according to the type of the sub-area, and calculate the overlapping period of the first period and the second period; for example, if the first period is 9:00:00-23:00:00, and the second period is 10:00:00-12:00:00 and 15:00:00-21:00:00, then the overlapping periods are 9:00:00-12:00:00 and 15:00:00-21:00:00;

[0063] Energy consumption coefficient calculation module, which calculates the energy consumption coefficient of the sub-area corresponding to the collection period according to the overlapping time period;

[0064] The method for calculating the energy consumption coefficient of the corresponding sub-area is:

[0065] Mark the sub-region corresponding to the overlapping time period as the target sub-region, use the overlapping time period as the processing time period of the target sub-region, divide the collection cycle processing time period to obtain several sub-time periods of the processing time period, determine whether there is a sub-time period within the collection time period, and if there is a sub-time period within the collection time period, mark the sub-time period and the corresponding processing time period as the target sub-time period and the target total time period, respectively. Count the duration of the target sub-time period and the target total time period, and obtain the target sub-time period duration and the target total time period duration;

[0066] By formula Calculate the energy consumption coefficient of the target sub-area ; is the target sub-period duration, is the total target time period, T is the acquisition cycle length, is a constant; is the basic energy consumption coefficient, through the formula Calculated, is the average daily energy consumption of the sub-region, THc is the average daily energy consumption of the target region, and j is the sub-region number; wherein, the collection cycle can be 30 minutes, that is, the energy consumption of the sub-region is collected 48 times a day; j is a positive integer, j∈(1,2), j=1 and j=2 represent residential and commercial areas respectively; it should be noted that the average daily energy consumption of the sub-region The average daily energy consumption of the target area THc is calculated by accumulating and averaging the historical sub-area daily energy consumption and the historical target area daily energy consumption;

[0067] The energy consumption threshold generation module is used to constrain the energy consumption coefficient according to the energy consumption constraint model and output the energy consumption threshold of the sub-region corresponding to the collection period;

[0068] The expression of the energy consumption constraint model is:

[0069] ;

[0070] is the energy consumption threshold based on the sub-area acquisition cycle, is the standard energy consumption upper limit ratio of the sub-region; it should be noted that This is obtained based on the analysis of historical energy consumption safety big data of sub-regions;

[0071] Energy consumption alarm module, used to monitor the energy consumption of sub-areas according to energy consumption thresholds;

[0072] The method for regulating the energy consumption ratio of sub-areas is:

[0073] The total energy consumption of the sub-area and the target area is obtained according to the collection cycle, and used as the periodic sub-area energy consumption and the periodic target area energy consumption respectively. The periodic sub-area energy consumption and the periodic target area energy consumption are ratio-calculated to obtain the periodic energy consumption ratio of the sub-area. The periodic energy consumption ratio is compared with the corresponding energy consumption threshold. If the periodic energy consumption ratio is not greater than the energy consumption threshold, no alarm is issued.

[0074] If the periodic energy consumption ratio is greater than the energy consumption threshold, an alarm is issued;

[0075] The energy consumption management system is also connected to a sub-region energy consumption monitoring and statistics module, which is used to integrate the energy consumption data of different sub-regions, taking daily energy consumption, quarterly energy consumption and annual energy consumption as data items respectively, summing up the same data items of different sub-regions, and obtaining the daily energy consumption, quarterly energy consumption and annual energy consumption of the target region as the total energy consumption data of the target region, and establishing an energy consumption data form based on the total energy consumption data;

[0076] By dividing the energy supply area, sub-areas are obtained. By collecting and analyzing data from the sub-areas, the periodic energy consumption of the sub-areas is obtained. Based on the calculation of the periodic energy consumption of different sub-areas, the characteristic energy consumption period of the sub-area is determined, and the overlapping period is calculated according to the characteristic energy consumption period of different sub-areas. The energy consumption coefficient of the collection period of the sub-area is calculated in time according to the overlapping period, and the energy consumption threshold under the energy consumption coefficient is output through the energy consumption constraint model. By monitoring the periodic energy consumption ratio of the sub-area and comparing it with the energy consumption threshold, if the periodic energy consumption ratio is not greater than the energy consumption threshold, no alarm is issued; if the periodic energy consumption ratio is greater than the energy consumption threshold, an alarm is issued; based on different collection cycles, it can be judged whether there is an abnormality in the energy consumption ratio of the sub-area and the residential area, so that the public heating station can make timely adjustments to the energy supply of different areas, increase the energy consumption supply in high-energy consumption areas and reduce the energy consumption supply in low-energy consumption areas, minimize the heat loss of energy consumption, improve energy utilization, and ensure the efficiency of the energy supervision process.

[0077] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. An energy consumption monitoring intelligent management platform, characterized by: Including energy consumption management system, the energy consumption management system includes area division module, energy consumption period accounting module, energy consumption period analysis module, energy consumption coefficient calculation module, energy consumption threshold generation module and energy consumption alarm module; A region division module is used to take the energy supply area as the target area and divide the target area into sub-areas; the sub-areas include residential areas and commercial areas; The energy consumption period calculation module is used to periodically collect the energy consumption of the sub-area and use it as the periodic energy consumption, and calculate the characteristic energy consumption period of the sub-area based on the periodic energy consumption; An energy consumption period analysis module is used to mark the corresponding characteristic energy consumption period as the first period or the second period according to the type of the sub-area, and calculate the overlapping period between the first period and the second period; Energy consumption coefficient calculation module, which calculates the energy consumption coefficient of the sub-area corresponding to the collection period according to the overlapping time period; The method for calculating the energy consumption coefficient of the corresponding sub-area is: Mark the sub-region corresponding to the overlapping time period as the target sub-region, use the overlapping time period as the processing time period of the target sub-region, divide the collection cycle processing time period to obtain several sub-time periods of the processing time period, determine whether there is a sub-time period within the collection time period, and if there is a sub-time period within the collection time period, mark the sub-time period and the corresponding processing time period as the target sub-time period and the target total time period, respectively. Count the duration of the target sub-time period and the target total time period, and obtain the target sub-time period duration and the target total time period duration; By formula Calculate the energy consumption coefficient of the target sub-area ; is the target sub-period duration, is the total target time period, T is the acquisition cycle length, is a constant; is the basic energy consumption coefficient, j is the sub-area number; i is the collection cycle number; The energy consumption threshold generation module is used to constrain the energy consumption coefficient according to the energy consumption constraint model and output the energy consumption threshold of the sub-region corresponding to the collection period; The expression of the energy consumption constraint model is: ; is the energy consumption threshold based on the sub-area acquisition cycle, is the standard energy consumption ceiling ratio of the sub-area; Energy consumption alarm module, used to monitor the energy consumption of sub-areas according to energy consumption thresholds; The method for regulating the energy consumption ratio of sub-areas is: The total energy consumption of the sub-area and the target area is obtained according to the collection cycle, and used as the periodic sub-area energy consumption and the periodic target area energy consumption respectively. The periodic sub-area energy consumption and the periodic target area energy consumption are ratio-calculated to obtain the periodic energy consumption ratio of the sub-area. The periodic energy consumption ratio is compared with the corresponding energy consumption threshold. If the periodic energy consumption ratio is not greater than the energy consumption threshold, no alarm is issued. If the periodic energy consumption ratio is greater than the energy consumption threshold, an alarm is issued.

2. The energy consumption monitoring intelligent management platform according to claim 1, characterized in that: Methods for calculating characteristic energy consumption periods of sub-regions include: S1, the energy consumption of the sub-area obtained according to the collection period is marked as periodic energy consumption Ei; through the formula The energy consumption analysis value Fi of the collection period is calculated; EH is the daily energy consumption of the sub-area; Ey is the standard energy consumption ratio; S2. Perform data analysis on the energy consumption analysis value Fi to determine a number of continuous number sequences consisting of acquisition cycle numbers; S3. Process several consecutive number sequences to obtain corresponding consecutive time periods, and use them as the main time periods of the day.

3. The energy consumption monitoring intelligent management platform according to claim 2, characterized in that: The method for calculating the characteristic energy consumption period of the sub-region further includes: S4. Obtain the main time periods of the current day and the next day according to steps S1 to S3, and mark them as the main time period of the current day and the main time period of the next day, respectively. Determine whether there are multiple main time periods of the current day. If there are not multiple main time periods of the current day, use the main time period of the current day as the sample time period and execute step S5. Otherwise, execute step S401. S401, determine the latest main time period of the day in chronological order, mark it as the first target time period, and determine whether there is a main time period of the next day that is continuous with the first target time period; If the next day's main period is continuous with the first target period, mark the next day's main period as the second target period, combine the first target period and the second target period to obtain the sample period of the sub-region, and execute step S5; otherwise, execute step S402; S402: If there is no continuous trend between the main time period of the next day and the first target time period, all of the first target time periods are used as sample time periods for the current day area, and step S5 is executed; S5. Construct a characteristic energy consumption period of the sub-region based on several sample periods of the sub-region.

4. The energy consumption monitoring intelligent management platform according to claim 3 is characterized by: Regarding step S3, the method for processing a plurality of consecutive number sequences is as follows: Compare several target numbers in the continuous number sequence, determine the minimum target number and the maximum target number in the continuous number sequence, and mark them as the first boundary time number respectively. and the second boundary time number , based on the first boundary time number and the second boundary time number Calculate the consecutive time periods formed by the target numbers in the consecutive number sequence and use them as the main time periods of the day; Calculate the corresponding boundary duration according to the boundary time number. The calculation formula for the boundary duration is as follows: ; is the boundary duration, is the boundary time number, x is the boundary time number subscript, x∈(1,2), T is the acquisition cycle length, and t0 is the starting time; Based on the boundary duration calculation formula, the boundary duration subscripts are respectively determined to obtain the first boundary duration t1 and the second boundary duration t2; The first boundary duration t1 and the second boundary duration t2 are respectively converted into a first boundary time and a second boundary time by using a clock, and a continuous time period is constructed based on the first boundary time and the second boundary time.

5. The energy consumption monitoring intelligent management platform according to claim 1 is characterized in that: The energy consumption management system is also connected to a sub-area energy consumption monitoring and statistics module, which is used to integrate the energy consumption data of different sub-areas, take daily energy consumption, quarterly energy consumption and annual energy consumption as data items respectively, sum the same data items of different sub-areas, and obtain the daily energy consumption, quarterly energy consumption and annual energy consumption of the target area as the total energy consumption data of the target area, and establish an energy consumption data form based on the total energy consumption data.

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