Building indoor energy consumption intelligent measuring and calculating method

Abstract

The invention discloses a building indoor energy consumption intelligent measurement and calculation method, relates to the technical field of energy consumption measurement and calculation, and solves the technical problems that systematicness and accuracy are lacked, the energy consumption conditions of various devices in a building are difficult to comprehensively master, and the requirements of an energy management department for refined and efficient energy management cannot be met. According to the invention, the energy consumption of each device and the whole building can be accurately calculated by labeling the indoor devices, acquiring the power and the use time of the devices in detail and applying an accurate calculation formula, so that the standard unit energy consumption is obtained, the accuracy of energy consumption calculation is improved, and the energy consumption can be accurately calculated according to the set energy consumption threshold value, the preset proportion and the quantity threshold value. The system can systematically screen out super-consumption buildings, generate corresponding analysis signals, clearly judge the overall condition of building energy consumption in a region, provide rich and reliable data support for an energy management department to formulate accurate and effective energy-saving measures, and powerfully promote optimization of regional energy use efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption measurement, and specifically to an intelligent method for measuring the indoor energy consumption of buildings. Background Art

[0002] With the development of the construction industry and the rise of energy costs, building energy consumption management has become increasingly important.

[0003] A patent application with the publication number CN118940354A discloses an intelligent method for measuring the indoor energy consumption of yurt buildings under zero-carbon conditions, including the following steps: constructing a database of the yurt building to be measured; performing three-dimensional simulation modeling of the yurt building to be measured and obtaining microenvironment sample parameters; constructing an intelligent training database for the indoor energy consumption of the yurt building; intelligently measuring the indoor energy consumption of the yurt building; constructing and automatically adjusting an intelligent grid for the indoor energy consumption of the yurt building; and visually displaying the indoor energy consumption of the yurt building.

[0004] The advantages of the above patent are as follows: constructing a three-dimensional simulation model of the yurt building and its surrounding environment to obtain high-precision and highly accurate microenvironment parameters of the yurt building, improving the accuracy of building energy consumption measurement; constructing an intelligent training database for the indoor energy consumption of the yurt building to improve the reliability of the measurement results; constructing an intelligent measurement model for the indoor energy consumption of the yurt building and using the clipped neural network algorithm to improve the accuracy of measuring the indoor energy consumption of the yurt building.

[0005] However, the indoor energy consumption of buildings not only includes the energy consumption analysis of environmental parameters but also includes the energy consumption analysis of indoor equipment. Traditional building energy consumption assessment methods often lack systematicness and accuracy, and it is difficult to comprehensively understand the energy consumption of various types of equipment inside the building.

[0006] In actual operation, some evaluations only rely on simple statistics of the total energy consumption, and cannot delve into the energy consumption details of individual equipment or different building types. Moreover, the means for identifying and analyzing buildings with abnormal energy consumption are limited. At the same time, the existing technology has obvious deficiencies in predicting future energy consumption trends using historical energy consumption data and formulating targeted energy-saving measures, and cannot meet the needs of energy management departments for refined and efficient energy management. Summary of the Invention

[0007] In view of the deficiencies of the prior art, the present invention provides an intelligent method for measuring the indoor energy consumption of buildings, which solves the problems of lack of systematicness and accuracy, difficulty in comprehensively understanding the energy consumption of various types of equipment inside the building, and inability to meet the needs of energy management departments for refined and efficient energy management.

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions: an intelligent method for measuring the indoor energy consumption of buildings, which specifically includes the following steps:

[0009] Define the measurement area, obtain the number of measured buildings corresponding to the measurement area, and the measured buildings are randomly selected partial buildings in the measurement area. At the same time, obtain the indoor area and indoor equipment information corresponding to the measured buildings;

[0010] Calculate the equipment energy consumption according to the indoor equipment information, calculate the total indoor energy consumption of the measured buildings, calculate the corresponding unit square energy consumption, and then generate the unit energy consumption information;

[0011] Measure the indoor energy consumption of all measured buildings in the measurement area according to the unit energy consumption information, screen out the measured buildings greater than the energy consumption threshold and record them as the buildings to be analyzed. At the same time, obtain the number of times exceeding the energy consumption threshold in their historical data and record it as the number of times of exceeding the energy consumption, and calculate the proportion of the number of times of exceeding;

[0012] Compare the proportion of the number of times of exceeding with the preset proportion to classify the buildings to be analyzed into over-consuming buildings and normal buildings. At the same time, calculate the proportion of the number of over-consuming buildings and compare it with the quantity threshold to generate an analysis signal of exceeding the threshold or being lower than the threshold;

[0013] Analyze the analysis signal of exceeding the threshold, calculate the average value of the indoor energy consumption of all over-consuming buildings and record it as the measurement standard, calculate the measured energy consumption of the over-consuming buildings, and generate the measurement information according to the periodic change situation in the historical data;

[0014] Analyze the analysis signal of being lower than the threshold, calculate the indoor energy consumption of the over-consuming buildings and normal buildings respectively, calculate the difference in their indoor energy consumption, and sum it with the maximum indoor energy consumption of the normal buildings and record it as the measurement standard, and generate the measurement information based on the periodic change situation of the historical data.

[0015] As a further solution of the present invention, the specific method for calculating the total indoor energy consumption of the measured buildings is as follows:

[0016] Obtain the indoor equipment and label it as i, where i = 1, 2,..., j, and j represents the number of indoor equipment. At the same time, obtain the usage duration and power corresponding to the indoor equipment i, and calculate the energy consumption corresponding to the indoor equipment according to the formula energy consumption = power × usage duration;

[0017] And so on, calculate the energy consumption of all indoor equipment i and sum them up to obtain the total indoor energy consumption corresponding to the measured building.

[0018] As a further solution of the present invention, the specific method for generating the unit energy consumption information is as follows:

[0019] Calculate the unit square energy consumption according to the formula unit square energy consumption = total indoor energy consumption ÷ indoor area, and similarly calculate the unit square energy consumption of all measured buildings;

[0020] Randomly select n groups of measured buildings and calculate the average energy consumption per unit area. Similarly, conduct k random selections and calculate the average energy consumption per unit area. Sum up the obtained average energy consumption per unit area and calculate the average value to obtain the standard unit energy consumption, and simultaneously generate unit energy consumption information.

[0021] As a further solution of the present invention, the specific method for calculating the over - time ratio is as follows:

[0022] Obtain unit energy consumption information, and at the same time obtain the indoor area corresponding to the measured building. Calculate the indoor energy consumption of the measured building based on the unit energy consumption information. Then compare the indoor energy consumption with the energy consumption threshold, and screen out the measured buildings with indoor energy consumption greater than the energy consumption threshold, which are recorded as buildings to be analyzed;

[0023] At the same time, obtain the number of times exceeding the energy consumption threshold in the historical data of the buildings to be analyzed, which is recorded as the over - energy consumption times. Then calculate the ratio of the over - energy consumption times to the total usage times, which is recorded as the over - time ratio.

[0024] As a further solution of the present invention, the specific method for generating an over - threshold or low - threshold analysis signal is as follows:

[0025] Compare the over - time ratio with the preset ratio. If the over - time ratio is large, the building to be analyzed is marked as an over - consuming building; if it is small, it is marked as a normal building. Analyze and classify all buildings in the measured area in this way to obtain over - consuming and normal buildings;

[0026] Calculate the proportion of the number of over - consuming buildings, compare it with the quantity threshold. If the proportion is large, generate an over - threshold analysis signal; if the proportion is small, generate a low - threshold analysis signal.

[0027] As a further solution of the present invention, the specific method for analyzing the over - threshold analysis signal is as follows:

[0028] Collect all over - consuming buildings and their corresponding indoor energy consumption data, calculate the average indoor energy consumption as the measurement standard, and then obtain the indoor area of the over - consuming buildings. According to the formula "total energy consumption = measurement standard × indoor area", calculate the measured energy consumption of each over - consuming building;

[0029] Then, collect the historical data of the over - consuming buildings, analyze the change situation of the measured energy consumption. Taking T as the period, calculate the total measured energy consumption of the over - consuming buildings in the period, and display these data through a histogram, and finally generate measurement information.

[0030] As a further solution of the present invention, the specific method for analyzing the low - threshold analysis signal is as follows:

[0031] Collect the indoor energy consumption data of over - consuming buildings and normal buildings respectively, calculate their respective average energy consumption, and then calculate the difference between the two averages. Add this difference to the maximum indoor energy consumption of normal buildings, and the obtained result is recorded as the measurement standard;

[0032] Meanwhile, collect the historical data of the over-consuming buildings, and generate the measurement information by sorting and organizing according to the analysis idea of the signal of exceeding the threshold.

[0033] The present invention provides an intelligent measurement method for building indoor energy consumption. Compared with the prior art, it has the following beneficial effects:

[0034] By labeling the indoor devices, obtaining the device power and usage duration in detail, and using accurate calculation formulas, the present invention can accurately calculate the energy consumption of each device and the overall building, and then obtain the standard unit energy consumption, improving the accuracy of energy consumption calculation. According to the set energy consumption threshold, preset ratio and quantity threshold, it can systematically screen out the over-consuming buildings, generate corresponding analysis signals, clearly judge the overall situation of building energy consumption in the area, effectively identify the individual and group of buildings with abnormal energy consumption. For over-consuming buildings and normal buildings, deeply analyze their energy consumption average value, difference, measurement standard and historical data, and generate comprehensive measurement information, including energy consumption comparison charts, change trend curves, etc., providing rich and reliable data support for the energy management department to formulate accurate and effective energy-saving measures, and effectively promoting the optimization of regional energy use efficiency. Brief Description of the Drawings

[0035] Figure 1 It is a method diagram of the steps of the present invention. Detailed Embodiment

[0036] 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. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0037] Please refer to Figure 1 , the present application provides an intelligent measurement method for building indoor energy consumption, and the method specifically includes the following steps:

[0038] Step S1,

[0039] Define the measurement area, obtain the number of measurement buildings corresponding to the measurement area, and the measurement buildings obtained here are randomly selected and are part of the buildings in the measurement area. At the same time, obtain the indoor area and indoor device information corresponding to the measurement buildings.

[0040] Step S2,

[0041] Assign a unique label to each device in the room, denoted as i, where i = 1, 2, …, j, and j represents the total number of devices in the room. For example, in an office, there are 3 computers, 1 printer, 1 air conditioner, and 5 lights, so j = 3 + 1 + 1 + 5 = 10.

[0042] For each device i, accurately obtain its usage duration t (unit: hours) and power Pi (unit: kilowatts). The power Pi can be directly determined from the parameters on the device nameplate or in the manual. If the original data of the device cannot be obtained, the standard power data of the same type of device can also be consulted as a reference. For example, the nameplate of a computer indicates a power of 0.2 kilowatts and it is used for 8 hours per day, so the power of this computer P1 = 0.2 kilowatts and the usage duration t1 = 8 hours. According to the energy consumption calculation formula Ei = Pi × ti, calculate the energy consumption of each device i. For example, the energy consumption of the above computer E1 = 0.2 × 8 = 1.6 kilowatt-hours.

[0043] Use the summation formula to obtain the total indoor energy consumption corresponding to the measured building. For example, in the above office, the energy consumption of other devices is calculated as follows: E2 = 0.1 × 5 = 0.5 kilowatt-hours (the printer has a power of 0.1 kilowatts and is used for 5 hours per day), E3 = 1.5 × 4 = 6 kilowatt-hours (the air conditioner has a power of 1.5 kilowatts and is used for 4 hours per day). Each light has a power of 0.04 kilowatts and is used for 6 hours per day, so the total energy consumption of the 5 lights E4 - E8 = 5 × 0.04 × 6 = 1.2 kilowatt-hours. Then the total indoor energy consumption E total = 1.6 + 0.5 + 6 + 1.2 = 9.3 kilowatt-hours. Assuming the area of this office is 50 square meters, the energy consumption per unit area is 9.3 / 50 = 0.186 kilowatt-hours per square meter.

[0044] Next, randomly select n groups of measured buildings and calculate the average energy consumption per unit area. Similarly, conduct k random selections. Here, the k selections cover the number of measured buildings in step S1, calculate the average energy consumption per unit area, sum up the obtained average energy consumption per unit area and calculate the average value to obtain the standard unit energy consumption, and at the same time generate unit energy consumption information.

[0045] For example, randomly select 5 groups of buildings, and their energy consumption per unit area are 0.186, 0.2, 0.19, 0.21, 0.18 respectively. Then the average value of the corresponding average energy consumption per unit area is 0.1932 kilowatt-hours per square meter. Repeat the above k selections, sum them up, and then calculate the average value. For example, after 10 selections, the sum of the 10 average values is 1.95, and after further calculating the average value, the standard unit energy consumption is 0.195 kilowatt-hours per square meter.

[0046] Step S3

[0047] First, obtain the generated unit energy consumption information, which usually includes the standard unit energy consumption value and related calculation data. At the same time, accurately measure and record the indoor area corresponding to each measured building. Suppose we have a measurement area containing 50 buildings. The indoor area of each building has been measured, and the standard unit energy consumption of this area has been obtained as 0.195 kWh / m². Based on the unit energy consumption information, calculate the indoor energy consumption of each measured building. The calculation formula is: Indoor energy consumption E = Estandard × A, where E is the indoor energy consumption of each building (unit: kWh), Estandard is the standard unit energy consumption (unit: kWh / m²), and A is the indoor area of the building (unit: m²). For example, if the indoor area of a certain building is 100 m², then its indoor energy consumption E = 0.195 × 100 = 19.5 kWh. By this method, calculate the indoor energy consumption of all 50 measured buildings in the measurement area.

[0048] The energy consumption threshold is set by the operator according to actual needs and experience. For example, the operator sets the energy consumption threshold to 25 kWh, and this value is used to judge whether the building energy consumption is at a high level. Compare the calculated indoor energy consumption of each building with the energy consumption threshold. Screen out the measured buildings with indoor energy consumption greater than the energy consumption threshold and mark them as buildings to be analyzed.

[0049] Suppose among the 50 buildings, 10 buildings have indoor energy consumption exceeding 25 kWh, and these 10 buildings become the buildings to be analyzed.

[0050] For each building to be analyzed, collect its historical energy consumption data. These data should cover the energy consumption records of the building within a certain time period, including the energy consumption value each time and the corresponding usage time and other information.

[0051] For example, for a building to be analyzed, obtain the daily energy consumption data for the past year (calculated as 365 days). In the historical energy consumption data, count the number of times the energy consumption value exceeds the currently set energy consumption threshold (25 kWh), and record it as the number of times of excessive energy consumption. At the same time, calculate the total number of usage times of this building (assumed to be 365 days, that is, the total number of usage times is 365 times).

[0052] Then, calculate the proportion of excessive times through the formula: Proportion of excessive times = Number of times of excessive energy consumption ÷ Total number of usage times × 100%. For example, for a building to be analyzed in the past year, there are 60 days when the energy consumption exceeds 25 kWh, then the proportion of excessive times is 16.44%.

[0053] The operator pre-sets a preset ratio for judging whether the building energy consumption is abnormal. For example, the preset ratio is 15%. Compare the over-frequency ratio of each building to be analyzed with the preset ratio. If the over-frequency ratio is greater than the preset ratio, mark the building to be analyzed as an over-consuming building; conversely, if the over-frequency ratio is less than the preset ratio, mark it as a normal building.

[0054] In the above example, the over-frequency ratio of this building is approximately 16.44%, which is greater than the preset ratio of 15%. Therefore, this building is marked as an over-consuming building.

[0055] According to the above steps, analyze and mark each of the selected buildings to be analyzed in the measurement area one by one, so as to classify all buildings into two categories: over-consuming buildings and normal buildings. Suppose among 10 buildings to be analyzed, 6 buildings are marked as over-consuming buildings and 4 buildings are marked as normal buildings.

[0056] Count the number of over-consuming buildings and calculate its proportion in the total number of all buildings in the measurement area. The formula is: quantity proportion = over-consuming buildings ÷ total buildings to be analyzed. For example, if there are 6 over-consuming buildings among 50 measured buildings, the quantity proportion is 12%.

[0057] The operator sets a quantity threshold. For example, the quantity threshold is 10%. Compare the calculated proportion of the number of over-consuming buildings with the quantity threshold. If the quantity proportion is greater than the quantity threshold, generate an over-threshold analysis signal to indicate that the proportion of high-energy-consuming buildings in this measurement area is relatively high; conversely, if the quantity proportion is less than the quantity threshold, generate a low-threshold analysis signal to indicate that the overall energy consumption situation in this area is relatively good. In the above example, the proportion of the number of over-consuming buildings is 12%, which is greater than the quantity threshold of 10%. Therefore, an over-threshold analysis signal is generated.

[0058] Step S4

[0059] Analyze the generated over-threshold analysis signal and low-threshold analysis signal. When receiving the over-threshold analysis signal, first summarize the relevant information of all buildings marked as over-consuming buildings. This includes obtaining the indoor energy consumption data and indoor area data corresponding to each over-consuming building. Suppose in the previous analysis, 6 over-consuming buildings are determined. Record their indoor energy consumption and corresponding indoor areas respectively, and calculate the average value of the indoor energy consumption of all over-consuming buildings as the measurement standard. For example, if the indoor energy consumption of 6 over-consuming buildings is 30, 35, 28, 32, 38, 33 kWh respectively, the corresponding measurement standard is 32 kWh;

[0060] According to the formula "Total energy consumption = Measurement standard × Indoor area", calculate the measured energy consumption corresponding to each super-consuming building. For example, if the indoor area of a super-consuming building is 120 square meters, the corresponding measured energy consumption is 3,840 kWh. By this method, obtain the measured energy consumption of all super-consuming buildings.

[0061] For each super-consuming building, collect its detailed historical energy consumption data. These data should cover energy consumption records over a relatively long time period, including energy consumption values at different time points and corresponding usage times, etc. For example, obtain the monthly energy consumption data of a super-consuming building in the past three years. By analyzing these historical data, observe the changing trend of the measured energy consumption within the historical time period, such as whether there are seasonal fluctuations, year-on-year increases or decreases, etc.

[0062] Calculation and display of the total measured energy consumption in a cycle: Taking T as the cycle (for example, T = 1 month), calculate the total measured energy consumption of super-consuming buildings in each cycle. After organizing these total measured energy consumption data in a cycle, use a histogram for intuitive display. The abscissa of the histogram is the time cycle (such as months), and the ordinate is the total measured energy consumption value in the cycle. Through the histogram, the distribution and changing pattern of the energy consumption of super-consuming buildings in different cycles can be clearly seen, and then generate a detailed measured information report to provide data support for formulating subsequent energy consumption optimization strategies.

[0063] When receiving a low-threshold analysis signal, collect the indoor energy consumption data of all super-consuming buildings and normal buildings respectively. Calculate the average indoor energy consumption of super-consuming buildings and the average indoor energy consumption of normal buildings. For example, assume there are 6 super-consuming buildings, and their indoor energy consumptions are 30, 35, 28, 32, 38, 33 kWh respectively, then the average indoor energy consumption of super-consuming buildings is 32 kWh; assume there are 4 normal buildings, and their indoor energy consumptions are 20, 18, 22, 21 kWh respectively, then the average indoor energy consumption of normal buildings is 20.25 kWh. Calculate the difference between the average indoor energy consumption of super-consuming buildings and normal buildings, for example, 32 kWh - 20.25 kWh = 11.75 kWh, and then sum this difference with the maximum indoor energy consumption in normal buildings. Assume the maximum indoor energy consumption in normal buildings is 22 kWh, and the measurement standard is 11.75 kWh + 22 kWh = 33.75 kWh.

[0064] For super-consuming buildings, collect their historical energy consumption data, in the same way as processing the historical data of super-consuming buildings in the super-threshold analysis signal, analyze information such as energy consumption change trends and cycle energy consumption. At the same time, comparative analysis can also be carried out on the historical energy consumption data of normal buildings to observe the stability of the energy consumption of normal buildings and the differences from the energy consumption changes of super-consuming buildings. For example, analyze the energy consumption fluctuations of normal buildings in different seasons in the past year and compare them with the energy consumption fluctuations of super-consuming buildings in the corresponding time periods.

[0065] Based on the average energy consumption, difference, measurement standard, and analysis results of historical data of comprehensive over-consuming buildings and normal buildings, comprehensive measurement information is generated. Such information may include energy consumption comparison charts, energy consumption change trend curves, summaries of energy consumption characteristics of different building types, etc., providing a clear and detailed analysis report on the building energy consumption status for the energy management department, helping to formulate targeted energy-saving measures and further optimizing the energy use efficiency within the region.

[0066] For some data in the above formula, only their numerical values are taken for calculation without substituting parameter units, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0067] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent measurement method for building indoor energy consumption, characterized in that The method specifically includes the following steps: Define the measurement area, and obtain the number of measured buildings corresponding to the measurement area. The measured buildings are randomly selected from the measurement area. At the same time, obtain the indoor area and indoor equipment information corresponding to the measured buildings. Calculate the equipment energy consumption according to the indoor equipment information, calculate the total indoor energy consumption of the measured buildings, calculate the corresponding energy consumption per square meter, and then generate unit energy consumption information. Measure the indoor energy consumption of all measured buildings in the measurement area according to the unit energy consumption information, and screen out the measured buildings with energy consumption greater than the energy consumption threshold and record them as buildings to be analyzed. At the same time, obtain the number of times exceeding the energy consumption threshold in their historical data and record it as the number of times of exceeding energy consumption, and calculate the proportion of the number of times of exceeding. Compare the proportion of the number of times of exceeding with the preset proportion to classify the buildings to be analyzed into over-consuming buildings and normal buildings. At the same time, calculate the proportion of the number of over-consuming buildings and compare it with the quantity threshold to generate an over-threshold or low-threshold analysis signal. Analyze the over-threshold analysis signal, calculate the average value of the indoor energy consumption of all over-consuming buildings and record it as the measurement standard, calculate the measured energy consumption of the over-consuming buildings, and generate measurement information according to the periodic change situation in the historical data. Analyze the low-threshold analysis signal, calculate the indoor energy consumption of over-consuming buildings and normal buildings respectively, calculate the difference in indoor energy consumption between the two, and sum it with the maximum indoor energy consumption of normal buildings and record it as the measurement standard, and generate measurement information based on the periodic change situation of the historical data.

2. The intelligent measurement method for indoor energy consumption of a building according to claim 1, wherein, The specific method for calculating the total indoor energy consumption of the measured buildings is as follows: Obtain the indoor equipment and label it as i, where i = 1, 2,..., j, and j represents the number of indoor equipment. At the same time, obtain the usage duration and power corresponding to the indoor equipment i, and calculate the energy consumption corresponding to the indoor equipment according to the formula energy consumption = power × usage duration. By analogy, calculate the energy consumption of all indoor equipment i and sum them to obtain the total indoor energy consumption corresponding to the measured building.

3. The intelligent measurement method for building indoor energy consumption according to claim 1, characterized in that, The specific method for generating unit energy consumption information is as follows: Calculate the energy consumption per square meter according to the formula energy consumption per square meter = total indoor energy consumption ÷ indoor area. Similarly, calculate the energy consumption per square meter of all measured buildings. Randomly select n groups of measured buildings and calculate the average value of the corresponding energy consumption per square meter. Similarly, conduct k random selections and calculate the average value of the energy consumption per square meter. Sum the obtained average values of the energy consumption per square meter and calculate the average value to obtain the standard unit energy consumption, and generate unit energy consumption information at the same time.

4. The intelligent measurement method for building indoor energy consumption according to claim 1, characterized in that, The specific method for calculating the proportion of the number of times of exceeding is as follows: Obtain the unit energy consumption information, and at the same time obtain the indoor area corresponding to the measured building, and calculate the indoor energy consumption of the measured building based on the unit energy consumption information. Then compare the indoor energy consumption with the energy consumption threshold, and screen out the measured buildings with indoor energy consumption greater than the energy consumption threshold and record them as buildings to be analyzed. At the same time, obtain the number of times exceeding the energy consumption threshold in the historical data of the buildings to be analyzed and record it as the number of times of exceeding energy consumption. Then calculate the ratio of the number of times of exceeding energy consumption to the total number of usage times and record it as the proportion of the number of times of exceeding.

5. The intelligent measurement method for building indoor energy consumption according to claim 1, wherein The specific method for generating an over-threshold or low-threshold analysis signal is as follows: Compare the proportion of the number of times of exceeding with the preset proportion. If the proportion of the number of times of exceeding is large, mark the building to be analyzed as an over-consuming building. If it is small, it is marked as a normal building. All buildings in the measurement area are analyzed and classified accordingly to obtain energy-consuming and normal buildings. Calculate the proportion of the number of energy-consuming buildings and compare it with the quantity threshold. If the proportion is large, generate an analysis signal above the threshold; if the proportion is small, generate an analysis signal below the threshold.

6. The intelligent measurement method for building indoor energy consumption according to claim 1, wherein The specific method for analyzing the analysis signal above the threshold is as follows: Collect all energy-consuming buildings and their corresponding indoor energy consumption data, calculate the average indoor energy consumption as the measurement standard, then obtain the indoor area of the energy-consuming buildings, and calculate the measured energy consumption of each energy-consuming building according to the formula "total energy consumption = measurement standard × indoor area". Next, collect the historical data of the energy-consuming buildings, analyze the change of the measured energy consumption, calculate the total measured energy consumption of the energy-consuming buildings in a cycle with T as the period, display these data through a histogram, and finally generate measurement information.

7. The intelligent calculation method for building indoor energy consumption according to claim 1, characterized in that, The specific method for analyzing the analysis signal below the threshold is as follows: Collect the indoor energy consumption data of energy-consuming buildings and normal buildings respectively, calculate their respective average energy consumption, and then calculate the difference between the two average values. Add this difference to the maximum indoor energy consumption of normal buildings, and the resulting value is recorded as the measurement standard. At the same time, collect the historical data of energy-consuming buildings, and generate measurement information according to the analysis idea of the analysis signal above the threshold.

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