Energy consumption monitoring intelligent management platform

Abstract

The invention relates to the technical field of data processing, in particular to an energy consumption monitoring intelligent management platform, which comprises an energy consumption management system, and the management system comprises a region division module, an energy consumption time period accounting module, an energy consumption time period analysis module, an energy consumption coefficient calculation module, an energy consumption threshold generation module and an energy consumption alarm module. The method comprises the following steps: dividing sub-regions, carrying out data acquisition and analysis on the sub-regions, determining characteristic energy consumption time periods of the sub-regions, calculating energy consumption coefficients of acquisition periods of the sub-regions according to the characteristic energy consumption time periods, outputting an energy consumption threshold value under the energy consumption coefficients through an energy consumption constraint model, comparing the energy consumption threshold value with a period energy consumption ratio, and carrying out related alarm. According to the method, whether the energy consumption proportion of the sub-region and the residential region is abnormal or not can be judged based on different collection periods, the energy consumption supply amount of the sub-region can be conveniently adjusted by the thermal public building station, the heat loss of energy consumption is reduced to the maximum extent, the energy utilization rate is improved, and the high efficiency of the energy supervision process is ensured.

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 institutions. Especially for thermal power public stations, due to their wide energy supply range and large energy supply volume, energy consumption management based on thermal power public stations is essential.

[0003] In the existing energy consumption management platform, due to different energy consumption characteristics in different regions, the energy consumption in some regions has high volatility, resulting in a large amount of calculation in the energy consumption analysis process of these regions. Moreover, in the existing management system, when statistically analyzing the characteristic energy consumption periods of different regions, such as setting a hard threshold for the energy consumption threshold in the system, that is, an alarm is issued when the hard threshold is exceeded, and no alarm is issued when the hard threshold is not exceeded. It is difficult to adjust the energy consumption thresholds for different periods and different regions according to the different characteristic energy consumption periods of different regions, and manage the regional energy consumption based on the current energy consumption threshold, making it difficult to achieve the purpose of facilitating the public station to timely adjust the energy supply in this region and reducing 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 art, and a proposed intelligent management platform for energy consumption monitoring is provided.

[0005] To achieve the above purpose, the present invention adopts the following technical solution: An intelligent management platform for energy consumption monitoring, including an energy consumption management system, the management system 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; The regional 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 accounting module is used to periodically collect the energy consumption of the sub-areas and take it as the periodic energy consumption, and based on the periodic energy consumption, account for the characteristic energy consumption periods of the sub-areas; The energy consumption period analysis module is used to mark the corresponding characteristic energy consumption periods as the first period or the second period according to the type of the sub-areas, and calculate the overlapping periods of the first period and the second period; The energy consumption coefficient calculation module calculates the energy consumption coefficient of the sub-areas corresponding to the collection period according to the overlapping periods; 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 under the collection period corresponding to the sub-areas; The energy consumption alarm module is used to monitor the energy consumption of the sub-areas according to the energy consumption threshold.

[0006] As a further solution of the present invention, the method for calculating the characteristic energy consumption period of a sub-region includes: S1. Obtain the energy consumption of the sub-region according to the collection period, and mark it as the periodic energy consumption Ei, where i is the collection period number; through the formula calculate the energy consumption analysis value Fi of the collection period; EH is the daily energy consumption of the sub-region; Ey is the standard energy consumption ratio; S2. Perform data analysis on the energy consumption analysis value Fi to determine several consecutive number sequences composed of the collection period numbers; S3. Process the several consecutive number sequences to obtain the corresponding consecutive time periods, and use them as the daily main time periods.

[0007] As a further solution of the present invention, the method for calculating the characteristic energy consumption period of a sub-region further includes: S4. Obtain the daily main time periods of the current day and the next day according to steps S1 to S3, and mark them as the current-day main time period and the next-day main time period respectively, and judge whether there are multiple current-day main time periods; if there are no multiple current-day main time periods, use the current-day main time period as the sample time period and execute step S5; otherwise, execute step S401; S401. Determine the latest current-day main time period in chronological order, and mark it as the first target time period, and judge whether there is a next-day main time period that is continuous with the first target time period; If there is a next-day main time period that is continuous with the first target time period, mark the next-day main time period as the second target time period, combine the first target time period and the second target time period to obtain the sample time period of the sub-region, and execute step S5; otherwise, execute step S402; S402. If there is no next-day main time period that is continuous with the first target time period, use several first target time periods as the sample time periods of the current-day sub-region and execute step S5; S5. Construct the characteristic energy consumption period of the sub-region according to several sample time periods of the sub-region.

[0008] As a further solution of the present invention, for step S3, the method for processing several consecutive number sequences is: Compare several target numbers in the consecutive number sequence to determine the minimum target number and the maximum target number in the consecutive number sequence, and mark them as the first boundary time number and the second boundary time number , based on the first boundary time number and the second boundary time number calculate the consecutive time period composed of the target numbers in this consecutive number sequence, and use it as the daily main time period.

[0009] 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 subscript of the boundary time number, x ∈ (1, 2), T is the acquisition cycle duration, and t0 is the start time; Based on the boundary duration calculation formula, the subscripts of the boundary duration are respectively taken values to obtain the first boundary duration t1 and the second boundary duration t2; Use the clock to convert the first boundary duration t1 and the second boundary duration t2 into the first boundary time and the second boundary time respectively, and construct a continuous time period based on the first boundary time and the second boundary time.

[0010] As a further solution of the present invention, the method for calculating the energy consumption coefficient of the corresponding sub-region is: Mark the overlapping time period as the target sub-region of the corresponding sub-region, and use the overlapping time period as the processing time period of the target sub-region. Divide the acquisition cycle for the processing time period to obtain several sub-time periods of the processing time period. Determine whether there is a sub-time period within the acquisition time period. If there is a sub-time period within the acquisition time period, then mark the sub-time period and the corresponding processing time period as the target sub-time period and the target total time period respectively, and statistically calculate the durations of the target sub-time period and the target total time period to obtain the target sub-time period duration and the target total time period duration; Through the formula Calculate the energy consumption coefficient of the target sub-region ; is the target sub-time period duration, is the target total time period duration, T is the acquisition cycle duration, is a constant; is the basic energy consumption coefficient, and j is the sub-region number.

[0011] As a further solution of the present invention, the expression of the energy consumption constraint model is: ; is the energy consumption threshold based on the acquisition cycle of the sub-region, is the standard energy consumption upper limit ratio of the sub-region.

[0012] As a further solution of the present invention, the method for supervising the energy consumption ratio of the sub-region is: Obtain the total energy consumption of the sub-region and the total energy consumption of the target region according to the acquisition cycle, and use them as the cycle sub-region energy consumption and the cycle target region energy consumption respectively. Calculate the ratio of the cycle sub-region energy consumption and the cycle target region energy consumption to obtain the cycle energy consumption ratio of the sub-region. Compare the cycle energy consumption ratio with the corresponding energy consumption threshold. If the cycle energy consumption ratio is not greater than the energy consumption threshold, no alarm is made; If the periodic energy consumption ratio is greater than the energy consumption threshold, an alarm is issued.

[0013] As a further solution of the present invention, the management system is further connected with a sub-region energy consumption monitoring and statistics module, which is used to integrate the energy consumption data of different sub-regions, take the daily energy consumption, quarterly energy consumption and annual energy consumption as data items respectively, sum up the same data items of different sub-regions, obtain the daily energy consumption, quarterly energy consumption and annual energy consumption of the target region, and use them as the total energy consumption data of the target region, and establish an energy consumption data form according to the total energy consumption data.

[0014] Compared with the existing technology, the advantages of the present invention are as follows: by dividing the energy supply area to obtain sub-regions, through data collection and analysis of the sub-regions to obtain the periodic energy consumption of the sub-regions, based on the accounting of the periodic energy consumption of different sub-regions, determining the characteristic energy consumption period of the sub-regions, calculating the overlapping period according to the characteristic energy consumption periods of different sub-regions, calculating the energy consumption coefficient of the acquisition period of the sub-regions in time according to the overlapping period, and outputting the energy consumption threshold under this energy consumption coefficient through the energy consumption constraint model, by monitoring the periodic energy consumption ratio of the sub-regions 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; it can judge whether there is an abnormality in the energy consumption ratio between the sub-regions and the residential area based on different acquisition periods, which is convenient for the heat supply and power station to adjust the energy supply of different regions in time, 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 efficiency, and ensure the high efficiency of the energy supervision process. Description of the Drawings

[0015] Figure 1 It is the system module structure diagram of the present invention. Detailed Embodiments

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0017] Refer to Figure 1 , an energy consumption monitoring intelligent management platform, including an energy consumption management system, and 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 region division module is used to take the energy supply area as the target area and divide the target area into sub-regions; the sub-regions include a residential area and a commercial area; The sub-region energy consumption monitoring module is used to monitor and collect the daily, quarterly, and annual energy consumption of the sub-region, generate an energy consumption statistical chart, and use it as the energy consumption data of the sub-region; The energy consumption period accounting module is used to periodically collect the energy consumption of the sub-region and use it as the periodic energy consumption, and account for the characteristic energy consumption period of the sub-region based on the periodic energy consumption; The method for accounting for the characteristic energy consumption period of the sub-region includes: S1. Obtain the energy consumption of the sub-region according to the collection period and mark it as the periodic energy consumption Ei, where i is the collection period number; through the formula Calculate the energy consumption analysis value Fi of the collection period; EH is the daily energy consumption of the sub-region; Ey is the standard energy consumption ratio; S2. Perform data analysis on the energy consumption analysis value Fi to determine several consecutive number sequences composed of the collection period numbers; Specifically, if the energy consumption analysis value Fi is not less than 0, mark the corresponding collection period as the target period; if the energy consumption analysis value Fi is less than 0, do not mark it; obtain the collection period number of the target period and use it as the target number, sort and traverse the target numbers, determine the consecutive target numbers, and generate a consecutive number sequence based on the consecutive target numbers; S3. Process several consecutive number sequences to obtain the corresponding consecutive time periods and use them as the daily main time periods; Regarding step S3, the method for processing several consecutive number sequences is: Compare several target numbers in the consecutive number sequence to determine the minimum target number and the maximum target number in the consecutive number sequence, and mark them as the first boundary time number and the second boundary time number , based on the first boundary time number and the second boundary time number Calculate the consecutive time period composed of the target numbers in this consecutive number sequence and use it as the daily main time period; 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 subscript of the boundary time number, x ∈ (1, 2), T is the collection period duration, and t0 is the start time; based on the boundary duration calculation formula, take values for the subscripts of the boundary duration respectively to obtain the first boundary duration t1 and the second boundary duration t2; it should be noted that t0 is specifically 00:00:00; Using a clock, convert the first boundary duration t1 and the second boundary duration t2 into the first boundary time and the second boundary time respectively, and construct a continuous time period based on the first boundary time and the second boundary time. S4. Obtain the daily main time periods of the current day and the next day according to steps S1 to S3, and mark them as the current-day main time period and the next-day main time period respectively. Determine whether there are multiple current-day main time periods; if there are not multiple current-day main time periods, use the current-day main time period as the sample time period and execute step S5; otherwise, execute step S401. S401. Determine the latest current-day main time period in chronological order and mark it as the first target time period. Determine whether there is a next-day main time period that is continuous with the first target time period. It should be noted that if the first target time period is A1:B1:00 - 24:00:00 and there is a next-day main time period of 00:00:00 - A2:B2:00, it is determined that there is a continuous state between the first target time period and the next-day main time period; otherwise, it is determined that there is no continuous state between the first target time period and the next-day main time period. If there is a next-day main time period that is continuous with the first target time period, mark the next-day main time period as the second target time period, combine the first target time period and the second target time period to obtain the sample time period of the sub-region, and execute step S5; otherwise, execute step S402. S402. If there is no next-day main time period that is continuous with the first target time period, use several first target time periods as the sample time periods of the current-day sub-region and execute step S5. S5. Construct the characteristic energy consumption time period of the sub-region according to several sample time periods of the sub-region. Specifically, the method for constructing the characteristic energy consumption time period of the sub-region is as follows: Determine the first boundary time and the second boundary time of the sample time period, sum and calculate the mean value of the first boundary time and the second boundary time of the sample time period in sequence, use the calculated results as the first characteristic boundary time and the second characteristic boundary time respectively, and construct the characteristic energy consumption time period based on the first characteristic boundary time and the second characteristic boundary time; it should be noted that the characteristic energy consumption time period uses the 24-hour system. The energy consumption time period analysis module is used to mark the corresponding characteristic energy consumption time period as the first time period or the second time period according to the type of the sub-region, and calculate the overlapping time periods of the first time period and the second time period; for example, if the first time period is 9:00:00 - 23:00:00 and the second time period is 10:00:00 - 12:00:00 and 15:00:00 - 21:00:00, then the overlapping time periods are 9:00:00 - 12:00:00 and 15:00:00 - 21:00:00. The energy consumption coefficient calculation module calculates the energy consumption coefficient of the sub-region corresponding to the collection period according to the overlapping period; The method for calculating the energy consumption coefficient of the corresponding sub-region is as follows: Taking the overlapping period as the corresponding sub-region and marking it as the target sub-region, taking the overlapping period as the processing period of the target sub-region, splitting the collection period for the processing period to obtain several sub-periods of the processing period, and judging whether there is a sub-period within the collection period. If there is a sub-period within the collection period, then mark the sub-period and the corresponding processing period as the target sub-period and the target total period respectively, and separately count the durations of the target sub-period and the target total period to obtain the target sub-period duration and the target total period duration; Through the formula Calculate to obtain the energy consumption coefficient of the target sub-region ; is the target sub-period duration, is the target total period duration, T is the collection period duration, is a constant; is the basic energy consumption coefficient, which is calculated through the formula is calculated to obtain, 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; among them, the collection period duration 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), and j = 1 and j = 2 respectively represent the residential area and the commercial area; it should be noted that the average daily energy consumption of the sub-region and the average daily energy consumption THc of the target region are respectively obtained by accumulating and averaging the historical sub-region daily energy consumption and the historical target region daily energy consumption; 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 corresponding to the collection period of the sub-region; The expression of the energy consumption constraint model is: ; is the energy consumption threshold based on the sub-region collection period, is the standard energy consumption upper limit ratio of the sub-region; it should be noted that, is obtained based on the analysis of the historical energy consumption safety big data of the sub-region; The energy consumption alarm module is used to supervise the energy consumption of the sub-region according to the energy consumption threshold; The method for supervising the energy consumption ratio of the sub-region is as follows: Obtain the total energy consumption of the sub-region and the total energy consumption of the target region according to the collection period, and use them as the periodic sub-region energy consumption and the periodic target region energy consumption respectively. Calculate the ratio of the periodic sub-region energy consumption to the periodic target region energy consumption to obtain the periodic energy consumption ratio of the sub-region. Compare the periodic energy consumption ratio 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; The 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. Take the daily energy consumption, quarterly energy consumption, and annual energy consumption as data items respectively, sum the same data items of different sub-regions to obtain the daily energy consumption, quarterly energy consumption, and annual energy consumption of the target region, and use them as the total energy consumption data of the target region. Establish an energy consumption data form based on the total energy consumption data; By dividing the energy supply region, sub-regions are obtained. Through data collection and analysis of the sub-regions, the periodic energy consumption of the sub-regions is obtained. Based on the accounting of the periodic energy consumption of different sub-regions, the characteristic energy consumption periods of the sub-regions are determined, and the overlapping periods are calculated according to the characteristic energy consumption periods of different sub-regions. The energy consumption coefficient of the collection period of the sub-region is calculated in a timely manner according to the overlapping periods, and the energy consumption threshold under this energy consumption coefficient is output through the energy consumption constraint model. By monitoring the periodic energy consumption ratio of the sub-region 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; it is possible to judge whether there is an abnormality in the energy consumption ratio between the sub-region and the residential area based on different collection periods, which is convenient for the heating public station to adjust the energy supply of different regions in a timely manner, increase the energy supply in high-energy-consuming areas and reduce the energy supply in low-energy-consuming areas, minimize the heat loss of energy consumption, improve energy utilization efficiency, and ensure the high efficiency of the energy supervision process.

[0018] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. An energy consumption monitoring intelligent management platform, characterized by: It includes 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; 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, 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; An energy consumption coefficient calculation module calculates the energy consumption coefficient of the sub-area corresponding to the collection period according to the overlapping time period; An 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 acquisition cycle corresponding to the sub-area; The energy consumption alarm module is used to monitor the energy consumption of the sub-areas according to the energy consumption threshold.

2. The energy consumption monitoring intelligent management platform according to claim 1 is characterized by: Methods for calculating characteristic energy consumption periods of sub-regions include: S1, the energy consumption of the sub-area obtained according to the collection cycle, and marked as the periodic energy consumption Ei, 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; S2. Perform data analysis on the energy consumption analysis value Fi to determine a number of continuous number sequences consisting of collection cycle numbers; S3. Process several continuous numbering sequences to obtain corresponding continuous 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 is characterized in that: The method for calculating the characteristic energy consumption period of the sub-region also includes: S4. Obtain the main time periods of the day and the next day according to steps S1 to S3, and mark them as the main time period of the day and the main time period of the next day respectively, and determine whether there are multiple main time periods of the day; if there are not multiple main time periods of the day, take the main time period of the 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 there is a main period of the next day that is continuous with the first target period, the main period of the next day is marked as the second target period, the first target period and the second target period are combined to obtain the sample period of the sub-area, and step S5 is executed; otherwise, step S402 is executed; S402, if there is no next day main time period and the first target time period are continuous, then several first target time periods are used as sample time periods of the day area, and step S5 is executed; S5. Construct a characteristic energy consumption period of the sub-area according to several sample periods of the sub-area.

4. The energy consumption monitoring intelligent management platform according to claim 3 is characterized by: With respect to step S3, the method for processing a plurality of consecutive numbering 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 continuous time periods formed by the target numbers in the continuous 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 of 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 start time; Based on the boundary duration calculation formula, the boundary duration subscripts are respectively taken to obtain the first boundary duration t1 and the second boundary duration t2 respectively; 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 4 is characterized in that: The method for calculating the energy consumption coefficient of the corresponding sub-area is: Mark the overlapping time period as the corresponding sub-region as the target sub-region, and use the overlapping time period as the processing time period of the target sub-region. Divide the processing time period during the acquisition cycle to obtain several sub-periods of the processing time period, and determine whether there is a sub-period in the acquisition period. If there is a sub-period in the acquisition period, mark the sub-period and the corresponding processing period as the target sub-period and the target total period, respectively, and count the duration of the target sub-period and the target total period, respectively, to obtain the duration of the target sub-period and the duration of the target total period; 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 collection cycle length, is a constant; is the basic energy consumption coefficient, and j is the sub-area number.

6. The energy consumption monitoring intelligent management platform according to claim 5 is characterized by: 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 upper limit ratio of the sub-area.

7. The energy consumption monitoring intelligent management platform according to claim 6 is characterized by: The method for supervising the energy consumption ratio of sub-areas is: The total energy consumption of the sub-area and the total energy consumption of the target area are obtained according to the collection cycle, and are 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 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.

8. The energy consumption monitoring intelligent management platform according to claim 1 is characterized by: The 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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