Building energy saving method and system based on sub-item energy consumption monitoring

Abstract

The invention discloses a building energy-saving method and system based on sub-item monitoring energy consumption, and relates to the technical field of building energy-saving sub-item monitoring data processing. The building energy-saving method based on sub-item energy consumption monitoring comprises the following steps of monitoring data acquisition, energy consumption evaluation judgment, optimization effect evaluation and comprehensive evaluation feedback. According to the method, the real-time sub-item monitoring data in the preset time interval is collected and preprocessed to obtain the sub-item monitoring data, then the energy consumption condition of the preset energy consumption equipment is evaluated to obtain the total item monitoring energy consumption evaluation index, and whether sub-item energy-saving optimization is executed or not is judged; according to the method and the device, the energy consumption sub-item monitoring accuracy of the office building is improved, then the sub-item energy-saving optimization effect is evaluated to obtain the sub-item optimization effect evaluation index, and finally comprehensive evaluation is performed to obtain the comprehensive evaluation result and feed back the comprehensive evaluation result, so that the effect of improving the office building energy consumption sub-item monitoring accuracy is achieved, and the problem of inaccurate office building energy consumption sub-item monitoring in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of building energy-saving sub-item monitoring data processing technology, and in particular to a building energy-saving method and system based on sub-item monitoring of energy consumption. Background Art

[0002] Globally, building energy consumption has become one of the important sources of energy consumption and greenhouse gas emissions. According to statistics, building energy consumption accounts for more than 30% of the world's total energy consumption, and commercial buildings such as office buildings account for a particularly significant proportion of energy consumption. Therefore, improving the energy efficiency of buildings and reducing unnecessary energy waste have become key tasks in achieving energy conservation and emission reduction goals. With the widespread application of technologies such as the Internet of Things, more and more office buildings have introduced sub-item energy consumption monitoring systems, hoping to achieve energy-saving effects through refined monitoring and management of various energy-consuming equipment. However, despite the gradual popularization of monitoring systems, the effective use of actual energy consumption data still faces many challenges.

[0003] The existing building energy-saving system deploys sub-item monitoring equipment in the building, such as electricity meters, water meters, gas meters, heat meters, and sensors such as temperature, humidity, and light intensity. These devices can monitor the energy consumption data of lighting, air conditioning, heating, electrical equipment, etc. Intelligent terminals and controllers can be used to collect and upload various energy consumption data, usually supporting wired or wireless connections (such as ZigBee, LoRa, etc.) to achieve real-time monitoring. By analyzing the energy consumption data of each sub-item, the energy consumption proportion of each sub-item can be counted in real time, high-energy consumption areas and equipment can be identified, and dynamic optimization of energy efficiency can be achieved through intelligent means, thereby significantly reducing energy consumption.

[0004] For example, the patent application with publication number: CN114971306A discloses an energy-saving monitoring method and system for office buildings based on the Internet of Things, including: obtaining monitoring information in the office building and personnel entry and exit information of the office building access control; combining the monitoring information and personnel entry and exit information to analyze and obtain personnel distribution information in the office building; adjusting the Internet of Things devices in the office building according to the personnel distribution information to reduce energy consumption.

[0005] For example, the invention patent announcement with announcement number: CN110363400B announces an online evaluation method, system and storage medium for building energy-saving renovation, including: collecting energy consumption values ​​in the first unit time period before renovation; obtaining energy-saving renovation plans and corresponding investment costs; collecting energy consumption values ​​in the first unit time period after renovation; calculating energy saving and recovery period based on energy consumption values ​​before renovation, energy consumption values ​​after renovation and investment costs.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] Although many office buildings have installed energy consumption monitoring systems, the data is limited to collection, and has not been deeply analyzed or used in a timely manner. It has not been used as a basis for actual energy-saving decisions, and the advantages of data-driven have not been brought into play. At the same time, in office buildings, energy consumption monitoring data usually needs to be manually viewed and processed by managers, but the efficiency of manual processing of large amounts of data is low, and energy-saving decisions cannot be made in a timely manner. In addition, many systems do not integrate automated control modules, resulting in the inability to adjust the equipment status in real time even if abnormal energy consumption is found, resulting in the continued existence of energy waste.

[0008] In the prior art, office buildings usually have a large number of equipment, and item-by-item energy consumption monitoring will generate massive amounts of data, resulting in inaccurate item-by-item monitoring of office building energy consumption. Summary of the invention

[0009] The embodiment of the present application solves the problem of inaccurate item-by-item monitoring of energy consumption in office buildings in the prior art by providing a building energy-saving method and system based on item-by-item monitoring of energy consumption, thereby improving the accuracy of item-by-item monitoring of energy consumption in office buildings.

[0010] The embodiment of the present application provides a building energy-saving method based on sub-item monitoring of energy consumption, comprising the following steps: S1, collecting real-time sub-item monitoring data within a preset time interval through an energy consumption monitoring device, and pre-processing the real-time sub-item monitoring data to obtain the sub-item monitoring data; S2, evaluating the energy consumption of the preset energy consumption equipment according to the sub-item monitoring data to obtain a total monitoring energy consumption evaluation index, and judging whether to perform sub-item energy-saving optimization based on the total monitoring energy consumption evaluation index and a preset energy consumption evaluation threshold range, the total monitoring energy consumption evaluation index is used to comprehensively quantify the energy consumption of the preset energy consumption equipment; S3, after performing the sub-item energy-saving optimization, evaluating the effect of the sub-item energy-saving optimization to obtain a sub-item optimization effect evaluation index, the sub-item optimization effect evaluation index is used to quantify the effect of the sub-item energy-saving optimization; S4, performing a comprehensive evaluation based on the sub-item optimization effect evaluation index and the preset optimization effect threshold range in combination with the total monitoring energy consumption evaluation index to obtain a comprehensive evaluation result and provide feedback.

[0011] Furthermore, the real-time sub-item monitoring data includes real-time sub-item lighting energy consumption data, real-time sub-item air conditioning energy consumption data, and real-time sub-item office equipment energy consumption data; the real-time sub-item monitoring data is used to describe the energy consumption of preset energy consumption equipment.

[0012] Furthermore, the energy consumption of preset energy-consuming equipment is evaluated according to the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index, which also includes obtaining sub-item energy consumption related evaluation data of the preset energy-consuming equipment in the preset office floor area within a preset time interval: the sub-item energy consumption related evaluation data includes lighting related evaluation data, air-conditioning related evaluation data and office related evaluation data; the lighting related evaluation data includes lighting rated power, lighting equipment operating time and lighting use correction factor, and the lighting use correction factor is the ratio of the lighting equipment operating time to the preset time interval; the office related evaluation data includes office equipment rated power, office equipment operating time and office equipment use correction factor, and the office equipment use correction factor is the ratio of the lighting equipment operating time to the preset time interval; the air-conditioning related evaluation data includes air-conditioning rated power, air-conditioning equipment operating time and air-conditioning use correction factor, and the air-conditioning use correction factor is the ratio of the air-conditioning equipment operating time to the preset time interval.

[0013] Furthermore, the specific steps of evaluating the energy consumption of preset energy-consuming equipment according to the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index are as follows: multiplying the lighting-related evaluation data and the lighting equipment efficiency impact factor obtained from the preset database to obtain a lighting energy consumption evaluation value, the lighting energy consumption evaluation value is the product of the lighting-related evaluation data and the lighting equipment efficiency impact factor, and the lighting energy consumption evaluation value is used to quantify the energy consumption of the lighting equipment; multiplying the air-conditioning-related evaluation data and the air-conditioning equipment efficiency impact factor obtained from the preset database to obtain an air-conditioning energy consumption evaluation value, the air-conditioning energy consumption evaluation value is the product of the air-conditioning-related evaluation data and the air-conditioning equipment efficiency impact factor, The air conditioning energy consumption assessment value is used to quantify the energy consumption of air conditioning equipment; the office-related assessment data and the office equipment efficiency influencing factor obtained from the preset database are multiplied to obtain the office energy consumption assessment value, which is the product of the office-related assessment data and the office equipment efficiency influencing factor, and the office energy consumption assessment value is used to quantify the energy consumption of office equipment; the lighting energy consumption assessment value, air conditioning energy consumption assessment value and office energy consumption assessment value of the preset energy consumption equipment in the preset office floor area are summed with the corresponding energy consumption assessment weights obtained from the preset database to obtain the total monitoring energy consumption assessment index, and the energy consumption assessment weights include lighting energy consumption weights, air conditioning energy consumption weights and office equipment energy consumption weights.

[0014] Furthermore, the method for obtaining the total monitoring energy consumption evaluation index is as follows:

[0015]

[0016] Wherein, E(T) represents the total monitoring energy consumption evaluation index within the Tth preset time interval, α represents the lighting energy consumption weight, β represents the air conditioning energy consumption weight, γ represents the office equipment energy consumption weight, T represents the number of the preset time interval, T=1,2,...,Y, Y represents the total number of preset time intervals, f represents the number of preset lighting equipment in the preset office floor area, f=1,2,...,F, F represents the total number of preset lighting equipment in the preset office floor area, b represents the number of preset air conditioning equipment in the preset office floor area, b=1,2,...,B, B represents the total number of preset air conditioning equipment in the preset office floor area, d represents the number of preset office equipment in the preset office floor area, d=1,2,...,D, D represents the total number of preset office equipment in the preset office floor area, represents the lighting energy consumption evaluation value of the f-th preset lighting device within the T-th preset time interval, represents the air conditioning energy consumption evaluation value of the b-th preset air conditioning device within the T-th preset time interval, represents the office energy consumption evaluation value of the d-th preset office equipment in the T-th preset time interval, represents the lighting rated power of the fth preset lighting device, represents the rated power of the air conditioner of the bth preset air conditioner, represents the office equipment rated power of the dth preset office equipment, represents the lighting device operating time of the fth preset lighting device in the Tth preset time interval, represents the air conditioning equipment operation time of the b-th preset air conditioning equipment in the T-th preset time interval, represents the office equipment operation time of the dth preset office equipment in the Tth preset time interval, η L represents the lighting equipment efficiency influencing factor, η A represents the efficiency influencing factor of air conditioning equipment, η C represents the influencing factor of office equipment efficiency, represents the lighting usage correction factor, represents the correction factor for air conditioning use, Represents the correction factor for office equipment usage.

[0017] Furthermore, the specific steps for determining whether to execute sub-item energy-saving optimization based on the total monitoring energy consumption assessment index and the preset energy consumption assessment threshold range are as follows: compare the total monitoring energy consumption assessment index with the preset energy consumption assessment threshold range; if the total monitoring energy consumption assessment index is within the preset energy consumption assessment threshold range, then do not execute sub-item energy-saving optimization; if the total monitoring energy consumption assessment index exceeds the preset energy consumption assessment threshold range, then execute sub-item energy-saving optimization.

[0018] Furthermore, the specific steps for executing sub-item energy-saving optimization are as follows: remind the preset personnel to perform energy-saving optimization of lighting equipment, and obtain the total monitoring and evaluation index after the preset personnel perform energy-saving optimization of lighting equipment within a preset time interval, the lighting equipment energy-saving optimization includes brightness optimization and lighting quantity optimization, the brightness optimization means adjusting the brightness of the lighting equipment to the minimum value of the lighting equipment, the lighting quantity optimization means reducing the number of lighting equipment, and the lighting equipment minimum value is used to describe the minimum brightness of the preset lighting equipment; determine whether the total monitoring and evaluation index after the lighting equipment energy-saving optimization exceeds the preset energy consumption assessment threshold range, if the total monitoring and evaluation index exceeds the preset energy consumption assessment threshold range, remind the preset personnel to perform energy-saving optimization of air-conditioning equipment, and obtain the preset index within a preset time interval. The total monitoring and evaluation index after the personnel performs energy-saving optimization of lighting equipment, otherwise the sub-item energy-saving optimization is terminated. The energy-saving optimization of air-conditioning equipment includes temperature optimization and air-conditioning quantity optimization. The temperature optimization means adjusting the air-conditioning equipment to the optimal value of the air-conditioning equipment, and the air-conditioning quantity optimization means reducing the number of air-conditioning equipment. The optimal value of the air-conditioning equipment is used to describe the optimal temperature of the preset air-conditioning equipment; determine whether the total monitoring and evaluation index after the energy-saving optimization of the air-conditioning equipment exceeds the preset energy consumption evaluation threshold range. If the total monitoring and evaluation index exceeds the preset energy consumption evaluation threshold range, remind the preset personnel to perform energy-saving optimization of office equipment, otherwise no reminder is made. The energy-saving optimization of office equipment includes the office quantity optimization and equipment optimization. The office quantity optimization means reducing the number of office equipment in standby state.

[0019] Furthermore, the specific steps for evaluating the effect of sub-item energy-saving optimization to obtain a sub-item optimization effect evaluation index are as follows: obtain the carbon emissions of preset energy-consuming equipment within a preset time interval and the optimized carbon emissions within a preset time interval after executing the sub-item energy-saving optimization; obtain the sub-item optimization effect evaluation index based on the ratio of the difference between the carbon emissions and the optimized carbon emissions and the carbon emissions combined with the carbon emissions influencing factor obtained from the preset database.

[0020] Furthermore, the specific steps for obtaining the comprehensive evaluation results are as follows: determine whether the obtained total monitoring energy consumption evaluation index is within the preset energy consumption evaluation threshold range. If the obtained total monitoring energy consumption evaluation index is within the preset energy consumption evaluation threshold range, the total energy consumption evaluation result is recorded as normal for the total energy consumption and no sub-item energy-saving optimization is performed; otherwise, the total energy consumption evaluation result is recorded as abnormal for the total energy consumption and sub-item energy-saving optimization is performed; determine whether the obtained sub-item optimization effect evaluation index is within the preset optimization effect threshold range. If the sub-item optimization effect evaluation index is within the preset optimization effect threshold range, the sub-item energy consumption evaluation result is recorded as abnormal for the total energy consumption and qualified for the sub-item energy-saving optimization effect; otherwise, the sub-item energy consumption evaluation result is recorded as abnormal for the total energy consumption and unqualified for the sub-item energy-saving optimization effect, and the preset personnel are reminded to perform aging detection of the preset energy consumption equipment system; the comprehensive evaluation results include total energy consumption evaluation results and sub-item energy consumption evaluation results.

[0021] The embodiment of the present application provides a building energy-saving system based on sub-item monitoring of energy consumption, including: a monitoring data acquisition module, an energy consumption evaluation and judgment module, an optimization effect evaluation module, and a comprehensive evaluation feedback module; wherein the monitoring data acquisition module is used to collect real-time sub-item monitoring data within a preset time interval through an energy consumption monitoring device, and pre-process the real-time sub-item monitoring data to obtain the sub-item monitoring data; the energy consumption evaluation and judgment module is used to evaluate the energy consumption of the preset energy consumption equipment according to the sub-item monitoring data to obtain a total monitoring energy consumption evaluation index, and judge whether to perform sub-item energy-saving optimization based on the total monitoring energy consumption evaluation index and a preset energy consumption evaluation threshold range, and the total monitoring energy consumption evaluation index is used to comprehensively quantify the energy consumption of the preset energy consumption equipment; the optimization effect evaluation module is used to evaluate the effect of the sub-item energy-saving optimization after performing the sub-item energy-saving optimization to obtain a sub-item optimization effect evaluation index, and the sub-item optimization effect evaluation index is used to quantify the effect of the sub-item energy-saving optimization; the comprehensive evaluation feedback module is used to perform a comprehensive evaluation based on the sub-item optimization effect evaluation index and the preset optimization effect threshold range and in combination with the total monitoring energy consumption evaluation index to obtain a comprehensive evaluation result and provide feedback.

[0022] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0023] 1. Evaluate the energy consumption of preset energy-consuming equipment through sub-item monitoring data to obtain the total monitoring energy consumption evaluation index to determine whether to perform sub-item energy-saving optimization, and then obtain the sub-item optimization effect evaluation index according to the effect of sub-item energy-saving optimization. Finally, obtain the comprehensive evaluation result according to the sub-item optimization effect evaluation index, the preset optimization effect threshold range and the total monitoring energy consumption evaluation index, thereby realizing accurate monitoring of abnormal energy consumption during the sub-item monitoring of office building energy consumption, and further realizing the improvement of the accuracy of sub-item monitoring of office building energy consumption, and effectively solving the problem of inaccurate sub-item monitoring of office building energy consumption in the prior art.

[0024] 2. By obtaining the lighting energy consumption assessment value, air conditioning energy consumption assessment value and office energy consumption assessment value of the preset energy consumption equipment in the preset office floor area, and combining the corresponding energy consumption assessment weights obtained from the preset database for summation operation, the total monitoring energy consumption assessment index is obtained, thereby realizing a numerical assessment of the degree of compliance of the energy consumption of the preset energy consumption equipment, and further realizing a more accurate assessment of the energy consumption of the preset energy consumption equipment.

[0025] 3. By obtaining the carbon emissions of preset energy-consuming equipment within a preset time interval and the optimized carbon emissions within a preset time interval after executing sub-item energy-saving optimization, the sub-item optimization effect evaluation index is obtained according to the ratio of the difference between the carbon emissions and the optimized carbon emissions and the carbon emissions combined with the carbon emissions influencing factor obtained from the preset database, thereby realizing a numerical evaluation of the sub-item energy-saving optimization effect, and then realizing a more accurate evaluation of the sub-item energy-saving optimization effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A flowchart of a building energy-saving method based on item-by-item monitoring of energy consumption provided in an embodiment of the present application;

[0027] Figure 2 A graph showing changes in the total monitoring energy consumption evaluation index provided in an embodiment of the present application;

[0028] Figure 3 A schematic diagram of the structure of a building energy-saving system based on item-by-item monitoring of energy consumption provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The embodiment of the present application solves the problem of inaccurate item-by-item monitoring of energy consumption in office buildings in the prior art by providing a building energy-saving method and system based on item-by-item monitoring of energy consumption. The method collects real-time item-by-item monitoring data within a preset time interval and performs preprocessing to obtain the item-by-item monitoring data. The energy consumption of preset energy-consuming equipment is then evaluated according to the item-by-item monitoring data to obtain a total item monitoring energy consumption evaluation index. Based on the total item monitoring energy consumption evaluation index and a preset energy consumption evaluation threshold range, it is determined whether to perform item-by-item energy-saving optimization. After performing the item-by-item energy-saving optimization, the effect of the item-by-item energy-saving optimization is evaluated to obtain a item-by-item optimization effect evaluation index. Finally, a comprehensive evaluation is performed based on the item-by-item optimization effect evaluation index and the preset optimization effect threshold range in combination with the total item monitoring energy consumption evaluation index to obtain a comprehensive evaluation result and provide feedback, thereby improving the accuracy of item-by-item monitoring of energy consumption in office buildings.

[0030] The technical solution in the embodiment of the present application is to solve the problem of inaccurate monitoring of energy consumption items of the above-mentioned office building, and the overall idea is as follows:

[0031] The energy consumption of the preset energy-consuming equipment is evaluated through the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index and determine whether to perform sub-item energy-saving optimization. Then, the effect of the sub-item energy-saving optimization is evaluated to obtain the sub-item optimization effect evaluation index. Finally, a comprehensive evaluation is performed to obtain the comprehensive evaluation results and provide feedback, thereby achieving the effect of improving the accuracy of sub-item monitoring of office building energy consumption.

[0032] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] like Figure 1 As shown, it is a flow chart of a building energy-saving method based on sub-item monitoring of energy consumption provided by an embodiment of the present application, and the method includes the following steps: S1, collecting real-time sub-item monitoring data within a preset time interval through energy consumption monitoring equipment, and pre-processing the real-time sub-item monitoring data to obtain sub-item monitoring data; S2, evaluating the energy consumption of preset energy consumption equipment according to the sub-item monitoring data to obtain a total monitoring energy consumption evaluation index, and judging whether to perform sub-item energy-saving optimization based on the total monitoring energy consumption evaluation index and a preset energy consumption evaluation threshold range, and the total monitoring energy consumption evaluation index is used to comprehensively quantify the energy consumption of preset energy consumption equipment; S3, after performing sub-item energy-saving optimization, evaluating the effect of sub-item energy-saving optimization to obtain a sub-item optimization effect evaluation index, and the sub-item optimization effect evaluation index is used to quantify the effect of sub-item energy-saving optimization; S4, performing a comprehensive evaluation according to the sub-item optimization effect evaluation index and the preset optimization effect threshold range in combination with the total monitoring energy consumption evaluation index to obtain a comprehensive evaluation result and provide feedback.

[0034] In this embodiment, the sub-item energy-saving optimization includes energy-saving optimization of lighting equipment, energy-saving optimization of air-conditioning equipment, and energy-saving optimization of office equipment; among them, since the real-time parameters collected by the sensor may contain noise, abnormal values, or erroneous values, it is necessary to pre-process the real-time parameters to ensure the accuracy of subsequent analysis; the pre-processing includes data cleaning and data normalization; data cleaning refers to using visualization tools (such as heat maps) to identify missing values ​​for the acquired real-time sub-item monitoring data and filling in missing values ​​through interpolation methods, such as the mean interpolation method to calculate the mean of the column containing missing values, and replace the missing values ​​in the column The data is taken as the mean, and statistical methods (such as box plots) are used to identify and delete outliers. The "whiskers" of the box plot represent the normal range of the data, and data points outside the whiskers are considered outliers. The output of the sensor may have different dimensions or ranges, which can be converted to the same dimension or standardized range through data normalization for unified processing. For example, the data is converted to a normal distribution with a mean of 0 and a standard deviation of 1 through Z-score standardization. Through real-time monitoring and feedback of the energy consumption of preset energy-consuming equipment, the energy-saving efficiency of buildings with sub-item monitoring of energy consumption is improved.

[0035] Among them, the real-time sub-item monitoring data includes real-time sub-item lighting energy consumption data, real-time sub-item air-conditioning energy consumption data, and real-time sub-item office equipment energy consumption data; the real-time sub-item monitoring data is used to describe the energy consumption of preset energy consumption equipment.

[0036] It should be understood that the energy consumption monitoring equipment is deployed at preset monitoring points in the preset office floor area; the preset monitoring points include preset lighting equipment monitoring points, preset air-conditioning equipment monitoring points and preset office equipment monitoring points; the preset monitoring points can be deployed at the main power inlet of the preset energy consumption monitoring equipment, wherein the preset lighting equipment monitoring points are used to monitor the energy consumption of lighting equipment in the building, such as lighting systems in office buildings, corridors, conference rooms and other areas, and can record the power consumption of lighting equipment in each area in real time; wherein, the preset air-conditioning equipment monitoring points are aimed at the air-conditioning systems in the building, such as central air-conditioning, split air-conditioning or fan coil units and other equipment energy consumption monitoring; wherein, the preset office equipment monitoring points are used to collect energy consumption data of office equipment (such as computers, printers, copiers, servers, etc.); by collecting real-time sub-item monitoring data, data support is provided for subsequent evaluation, thereby improving data reliability in the process of sub-item monitoring of energy consumption.

[0037] Furthermore, the energy consumption of the preset energy consumption equipment is evaluated according to the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index, which also includes obtaining the sub-item energy consumption related evaluation data of the preset energy consumption equipment in the preset office floor area within the preset time interval: the sub-item energy consumption related evaluation data include lighting related evaluation data, air conditioning related evaluation data and office related evaluation data; the lighting related evaluation data include lighting rated power, lighting equipment operating time and lighting use correction factor, the lighting use correction factor is the ratio of the lighting equipment operating time to the preset time interval; the office related evaluation data include office equipment rated power, office equipment operating time and office equipment use correction factor, the office equipment use correction factor is the ratio of the lighting equipment operating time to the preset time interval; the air conditioning related evaluation data include air conditioning rated power, air conditioning equipment operating time and air conditioning use correction factor, the air conditioning use correction factor is the ratio of the air conditioning equipment operating time to the preset time interval.

[0038] In this embodiment, the lighting rated power represents the maximum power consumption of the preset lighting equipment during normal operation; wherein, the lighting usage correction factor is calculated by the ratio of the lighting equipment operating time to the preset time interval, and represents the utilization efficiency of the preset lighting equipment within the preset time interval; the office equipment rated power represents the rated power of the preset office equipment (for example, the maximum power consumption of computers, printers, etc.); wherein, the air-conditioning rated power represents the rated power of various types of air-conditioning equipment, thereby realizing sub-item monitoring of the energy consumption of preset energy-consuming equipment.

[0039] Furthermore, the specific steps of evaluating the energy consumption of preset energy-consuming equipment according to the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index are as follows: multiplying the lighting-related evaluation data and the lighting equipment efficiency influence factor obtained from the preset database to obtain the lighting energy consumption evaluation value, the lighting energy consumption evaluation value is the product of the lighting-related evaluation data and the lighting equipment efficiency influence factor, and the lighting energy consumption evaluation value is used to quantify the energy consumption of the lighting equipment; multiplying the air-conditioning-related evaluation data and the air-conditioning equipment efficiency influence factor obtained from the preset database to obtain the air-conditioning energy consumption evaluation value, the air-conditioning energy consumption evaluation value is the product of the air-conditioning-related evaluation data and the air-conditioning equipment efficiency influence factor, and the air-conditioning The energy consumption assessment value is used to quantify the energy consumption of air-conditioning equipment; the office energy consumption assessment value is obtained by multiplying the office-related assessment data and the office equipment efficiency influencing factor obtained from the preset database. The office energy consumption assessment value is the product of the office-related assessment data and the office equipment efficiency influencing factor. The office energy consumption assessment value is used to quantify the energy consumption of office equipment; the lighting energy consumption assessment value, air-conditioning energy consumption assessment value and office energy consumption assessment value of the preset energy-consuming equipment in the preset office floor area are summed with the corresponding energy consumption assessment weights obtained from the preset database to obtain the total monitoring energy consumption assessment index. The energy consumption assessment weights include lighting energy consumption weights, air-conditioning energy consumption weights and office equipment energy consumption weights.

[0040] The method for obtaining the total monitoring energy consumption evaluation index is as follows:

[0041]

[0042] Wherein, E(T) represents the total monitoring energy consumption evaluation index within the Tth preset time interval, α represents the lighting energy consumption weight, β represents the air conditioning energy consumption weight, γ represents the office equipment energy consumption weight, T represents the number of the preset time interval, T=1,2,...,Y, Y represents the total number of preset time intervals, f represents the number of preset lighting equipment in the preset office floor area, f=1,2,...,F, F represents the total number of preset lighting equipment in the preset office floor area, b represents the number of preset air conditioning equipment in the preset office floor area, b=1,2,...,B, B represents the total number of preset air conditioning equipment in the preset office floor area, d represents the number of preset office equipment in the preset office floor area, d=1,2,...,D, D represents the total number of preset office equipment in the preset office floor area, represents the lighting energy consumption evaluation value of the f-th preset lighting device within the T-th preset time interval, represents the air conditioning energy consumption evaluation value of the b-th preset air conditioning device within the T-th preset time interval, represents the office energy consumption evaluation value of the d-th preset office equipment in the T-th preset time interval, represents the lighting rated power of the fth preset lighting device, represents the rated power of the air conditioner of the bth preset air conditioner, represents the office equipment rated power of the dth preset office equipment, represents the lighting device operating time of the fth preset lighting device in the Tth preset time interval, represents the air conditioning equipment operation time of the b-th preset air conditioning equipment in the T-th preset time interval, represents the office equipment operation time of the dth preset office equipment in the Tth preset time interval, η L represents the lighting equipment efficiency influencing factor, η A represents the efficiency influencing factor of air conditioning equipment, η C represents the influencing factor of office equipment efficiency, represents the lighting usage correction factor, represents the correction factor for air conditioning use, Represents the correction factor for office equipment usage.

[0043] In this embodiment, the lighting equipment efficiency influencing factor is obtained from a preset database, and is used to quantify the ability of the preset lighting equipment to convert electrical energy into light energy, and is represented by summing and averaging the collected historical lighting equipment efficiency data, namely, the light efficiency (the ratio of the luminous flux emitted by the light source to the electrical power consumed); the air-conditioning equipment efficiency influencing factor is obtained from a preset database, and is used to quantify the ability of the preset air-conditioning equipment to convert electrical energy into cold energy or heat energy, and is represented by summing and averaging the collected historical air-conditioning equipment efficiency data, namely, the energy efficiency ratio (the ratio of the cold energy generated by the air conditioner during cooling to the electrical energy consumed); the office equipment efficiency influencing factor is obtained from a preset database, and is used to quantify the ability of the preset office equipment to convert electrical energy into working output, and is represented by summing and averaging the collected historical office equipment efficiency data, namely, the display energy efficiency (the ratio of the power consumption when the equipment is running to the power consumption when in standby mode).

[0044] The lighting energy consumption weight is used to describe the influence of the energy consumption of lighting equipment on the total monitoring energy consumption assessment index. Specifically, the lighting energy consumption weight is the weight corresponding to the lighting energy consumption preset in the preset database, which represents the numerical value of the influence of the lighting energy consumption on the total monitoring energy consumption assessment index. When used, the weight corresponding to the preset lighting energy consumption can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the energy consumption of the lighting equipment and the weight corresponding to the energy consumption of the lighting equipment preset in the preset database form a mapping set, and the energy consumption of the real-time lighting equipment is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1]. The air conditioning energy consumption weight is used to describe the degree of influence of air conditioning energy consumption on the total monitoring energy consumption evaluation index. Specifically, the air conditioning energy consumption weight is the weight corresponding to the air conditioning energy consumption preset in the preset database, which represents the numerical value of the degree of influence of air conditioning energy consumption on the total monitoring energy consumption evaluation index. When used, the preset weight corresponding to the air conditioning energy consumption can be directly obtained from the preset database. The corresponding relationship can be a pre-set mapping relationship. For example, the energy consumption of the air conditioning equipment and the weight corresponding to the energy consumption of the air conditioning equipment preset in the preset database form a mapping set, and the energy consumption of the real-time air conditioning equipment is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1]. In this example, the sum of the lighting energy consumption weight, the air conditioning energy consumption weight and the office equipment energy consumption weight is 1. The office equipment energy consumption weight is used to describe the degree of influence of the office equipment energy consumption on the total monitoring energy consumption evaluation index, realizing the accurate evaluation of the energy consumption of the preset energy consumption equipment.

[0045] like Figure 2As shown, it is a change diagram of the total monitoring energy consumption evaluation index provided in the embodiment of the present application, wherein it is set that: the number of preset time intervals is 1, the total number of preset lighting devices in the preset office floor area is 5, the total number of preset air-conditioning devices in the preset office floor area is 3, the total number of preset office equipment in the preset office floor area is 4, the lighting rated power of the preset lighting devices is 0.3kw, the air-conditioning rated power of the preset air-conditioning devices is 2.0kw, the office equipment rated power of the preset office equipment is 0.1kw, the air-conditioning equipment operating time is 8 hours, and the office equipment The equipment operation time is 5 hours, the equipment efficiency influencing factor is 0.9, the air conditioning equipment efficiency influencing factor is 0.85, the office equipment efficiency influencing factor is 0.8, the lighting use correction factor is 0.95, the air conditioning use correction factor is 0.9, the office equipment use correction factor is 0.85, the lighting energy consumption weight is 0.4, the air conditioning energy consumption weight is 0.3, and the office equipment energy consumption weight is 0.3; It can be seen from the figure that with the increase of the operating time of the lighting equipment, the lighting energy consumption assessment value increases accordingly, and the total monitoring energy consumption assessment index increases accordingly, that is, the energy consumption of the preset energy consumption equipment increases.

[0046] The total monitoring energy consumption assessment index is used to comprehensively quantify the energy consumption of preset energy consumption equipment; among them, the total monitoring energy consumption assessment index includes parameters in multiple aspects, and the various parameters are related, not independent, and not obtained by simple combination and addition; for example, an increase in the lighting energy consumption assessment value does not necessarily mean that the total monitoring energy consumption assessment index is high. At this time, the air conditioning energy consumption assessment value and the office energy consumption assessment value also need to be considered; in addition, the operating time of lighting equipment, the operating time of air conditioning equipment and the operating time of office equipment can all affect the total monitoring energy consumption assessment index. For example, an increase in the operating time of lighting equipment will lead to an increase in the energy consumption assessment value of lighting equipment, thereby affecting the total monitoring energy consumption assessment index. Taking into account the correlation and mutual influence between various factors, the algorithm itself is obtained through comprehensive analysis, which can accurately and quantitatively analyze the energy consumption of preset energy consumption equipment and realize the numerical evaluation of the energy consumption of preset energy consumption equipment.

[0047] Furthermore, the specific steps for determining whether to execute sub-item energy-saving optimization based on the total monitoring energy consumption assessment index and the preset energy consumption assessment threshold range are as follows: compare the total monitoring energy consumption assessment index with the preset energy consumption assessment threshold range. If the total monitoring energy consumption assessment index is within the preset energy consumption assessment threshold range, sub-item energy-saving optimization will not be executed; if the total monitoring energy consumption assessment index exceeds the preset energy consumption assessment threshold range, sub-item energy-saving optimization will be executed.

[0048] In this embodiment, the preset energy consumption assessment threshold range is set by professionals according to standards in the field. For example, the lighting energy consumption assessment value range (90W-150W), the air conditioning energy consumption assessment value range (5kW-10kW) and the office energy consumption assessment value range (65W-250W) are set to determine the preset energy consumption assessment threshold range; the accuracy of executing sub-item energy-saving optimization judgments is achieved.

[0049] Furthermore, the specific steps for executing sub-item energy-saving optimization are as follows: remind the preset personnel to perform energy-saving optimization of lighting equipment, and obtain the total monitoring and evaluation index after the preset personnel perform energy-saving optimization of lighting equipment within a preset time interval. The lighting equipment energy-saving optimization includes brightness optimization and lighting quantity optimization. Brightness optimization means adjusting the brightness of the lighting equipment to the minimum value of the lighting equipment. Lighting quantity optimization means reducing the number of lighting equipment. The minimum value of the lighting equipment is used to describe the minimum brightness of the preset lighting equipment; determine whether the total monitoring and evaluation index after the lighting equipment energy-saving optimization exceeds the preset energy consumption assessment threshold range. If the total monitoring and evaluation index exceeds the preset energy consumption assessment threshold range, remind the preset personnel to perform energy-saving optimization of the air-conditioning equipment, and obtain it within a preset time interval. The total monitoring and evaluation index after the preset personnel perform energy-saving optimization of lighting equipment, otherwise the sub-item energy-saving optimization is terminated. The energy-saving optimization of air-conditioning equipment includes temperature optimization and air-conditioning quantity optimization. Temperature optimization means adjusting the air-conditioning equipment to the optimal value of the air-conditioning equipment. Air-conditioning quantity optimization means reducing the number of air-conditioning equipment. The optimal value of air-conditioning equipment is used to describe the optimal temperature of the preset air-conditioning equipment; determine whether the total monitoring and evaluation index after the energy-saving optimization of air-conditioning equipment exceeds the preset energy consumption evaluation threshold range. If the total monitoring and evaluation index exceeds the preset energy consumption evaluation threshold range, remind the preset personnel to perform energy-saving optimization of office equipment, otherwise no reminder is made. The energy-saving optimization of office equipment includes office quantity optimization and equipment optimization. Office quantity optimization means reducing the number of office equipment in standby state.

[0050] In this embodiment, the minimum value of the lighting equipment is set by a preset personnel, generally 300Lux-500Lux, and the optimal value of the air-conditioning equipment is set by a preset personnel, generally the most energy-saving temperature under the condition of achieving the basic temperature regulation effect; the energy-saving optimization of the lighting equipment can also be achieved by reminding the preset personnel to clean and maintain the lighting equipment and implement zoning management of the lighting equipment; the optimization of the number of lighting equipment means reducing the number of lighting equipment until the minimum value of the lighting equipment is reached, and the optimization of the number of air-conditioning equipment means reducing the number of air-conditioning equipment until the minimum value of the number of air-conditioning equipment is reached when the air-conditioning equipment has the optimal value. The energy-saving optimization of the air-conditioning equipment can be achieved by reminding the preset personnel to detect the air flow and pressure difference of the air-conditioning system; among them, the equipment optimization means reducing the brightness of the computer monitor of the office equipment to the minimum value of the computer brightness and reminding the preset personnel to clean and maintain the office equipment, thereby realizing the energy-saving optimization of the sub-item monitoring equipment.

[0051] Furthermore, the specific steps for evaluating the effect of sub-item energy-saving optimization to obtain the sub-item optimization effect evaluation index are as follows: obtain the carbon emissions of the preset energy-consuming equipment within the preset time interval and the optimized carbon emissions within the preset time interval after executing the sub-item energy-saving optimization; obtain the sub-item optimization effect evaluation index based on the ratio of the difference between the carbon emissions and the optimized carbon emissions and the carbon emissions combined with the carbon emissions influencing factor obtained from the preset database.

[0052] Among them, the method for obtaining the sub-item optimization effect evaluation index is as follows:

[0053]

[0054] In the formula, C represents the evaluation index of the sub-item optimization effect, C(T) represents the carbon emissions of the preset energy-consuming equipment in the Tth preset time interval, and T ’ Indicates the number of the preset time interval after performing the sub-item energy-saving optimization, T ’ =1,2,...,Y ‘ , Y ‘ Indicates the total number of preset time intervals after performing sub-item energy-saving optimization, C ‘ (T ’ ) indicates the T ’ The optimized carbon emissions of the preset energy-consuming equipment within a preset time interval, C α Represents the carbon emission impact factor.

[0055] Specific assumptions: the total number of preset time intervals is 5, the total number of preset time intervals after performing sub-item energy-saving optimization is 5, and the carbon emission impact factor is 0.8. The sub-item optimization effect evaluation index can be calculated by the above method. The change statistics of the sub-item optimization effect evaluation index are shown in Table 1:

[0056] Table 1 Statistics of changes in the evaluation index of sub-item optimization effect

[0057]

[0058] The sub-item optimization effect evaluation index is used to quantify the effect of sub-item energy-saving optimization; as can be seen from Table 1, as the difference between carbon emissions and optimized carbon emissions increases, the sub-item optimization effect evaluation index increases accordingly; if carbon emissions are a fixed value, as the optimized carbon emissions decrease, the difference between carbon emissions and optimized carbon emissions increases, that is, the sub-item optimization effect evaluation index increases, and the effect of sub-item energy-saving optimization is better; among them, carbon emissions and optimized carbon emissions both directly affect the sub-item optimization effect evaluation index. Therefore, through a quantitative method, the correlation and mutual influence between various factors are taken into account, and the sub-item optimization effect evaluation index is obtained through comprehensive analysis, which realizes the numerical evaluation of the sub-item energy-saving optimization effect.

[0059] Furthermore, the specific steps for obtaining the comprehensive evaluation results are as follows: determine whether the obtained total monitoring energy consumption evaluation index is within the preset energy consumption evaluation threshold range. If the obtained total monitoring energy consumption evaluation index is within the preset energy consumption evaluation threshold range, the total energy consumption evaluation result is recorded as normal for the total energy consumption and no sub-item energy-saving optimization is performed; otherwise, the total energy consumption evaluation result is recorded as abnormal for the total energy consumption and sub-item energy-saving optimization is performed; determine whether the obtained sub-item optimization effect evaluation index is within the preset optimization effect threshold range. If the sub-item optimization effect evaluation index is within the preset optimization effect threshold range, the sub-item energy consumption evaluation result is recorded as abnormal for the total energy consumption and qualified for the sub-item energy-saving optimization effect; otherwise, the sub-item energy consumption evaluation result is recorded as abnormal for the total energy consumption and unqualified for the sub-item energy-saving optimization effect, and the preset personnel are reminded to perform aging detection of the preset energy consumption equipment system; the comprehensive evaluation results include total energy consumption evaluation results and sub-item energy consumption evaluation results.

[0060] In this embodiment, the preset optimization effect threshold range is set by professionals according to standards in the field. For example, the carbon emissions range (2000kg CO2 / year-2856kg CO2 / year) and the optimized carbon emissions range (700kg CO2 / year-1000kg CO2 / year) are set to obtain the range of the difference between the carbon emissions and the optimized carbon emissions (1300kg CO2 / year-1856kg CO2 / year), thereby determining the preset optimization effect threshold range; the reliability of the sub-item optimization effect evaluation is improved.

[0061] like Figure 3 As shown, it is a structural schematic diagram of a building energy-saving system based on item-by-item monitoring of energy consumption provided in an embodiment of the present application. The embodiment of the present application provides a building energy-saving system based on item-by-item monitoring of energy consumption, including: a monitoring data acquisition module, an energy consumption evaluation and judgment module, an optimization effect evaluation module, and a comprehensive evaluation feedback module; wherein the monitoring data acquisition module is used to collect real-time item-by-item monitoring data within a preset time interval through an energy consumption monitoring device, and pre-process the real-time item-by-item monitoring data to obtain item-by-item monitoring data; the energy consumption evaluation and judgment module is used to evaluate the energy consumption of preset energy consumption equipment according to the item-by-item monitoring data to obtain the total item monitoring energy consumption. The evaluation index determines whether to execute sub-item energy-saving optimization based on the total monitoring energy consumption evaluation index and the preset energy consumption evaluation threshold range. The total monitoring energy consumption evaluation index is used to comprehensively quantify the energy consumption of preset energy-consuming equipment; the optimization effect evaluation module is used to evaluate the effect of sub-item energy-saving optimization after executing sub-item energy-saving optimization to obtain the sub-item optimization effect evaluation index. The sub-item optimization effect evaluation index is used to quantify the effect of sub-item energy-saving optimization; the comprehensive evaluation feedback module is used to conduct a comprehensive evaluation based on the sub-item optimization effect evaluation index and the preset optimization effect threshold range in combination with the total monitoring energy consumption evaluation index to obtain a comprehensive evaluation result and provide feedback.

[0062] In this embodiment, the system can display the total monitoring energy consumption assessment index in real time through the monitoring dashboard. The total monitoring energy consumption assessment index that exceeds the preset energy consumption assessment threshold range will prompt the preset personnel through the warning light and send a notification on the control panel. The content of the notification is "Please perform sub-item energy saving optimization"; through the dual evaluation of the energy consumption of the preset energy-consuming equipment and the sub-item optimization effect, the comprehensive evaluation results are used to reflect the energy consumption of the preset energy-consuming equipment and the sub-item optimization effect, so as to facilitate the preset personnel to better perform building energy conservation, and realize the improvement of the accuracy of sub-item monitoring energy consumption in the process of building energy conservation.

[0063] To summarize, the embodiment of the present application evaluates the energy consumption of preset energy-consuming equipment through sub-item monitoring data to obtain a total monitoring energy consumption evaluation index to determine whether to perform sub-item energy-saving optimization, and then obtains a sub-item optimization effect evaluation index based on the effect of the sub-item energy-saving optimization. Finally, a comprehensive evaluation result is obtained based on the sub-item optimization effect evaluation index, the preset optimization effect threshold range and the total monitoring energy consumption evaluation index, thereby achieving accurate monitoring of abnormal energy consumption during the sub-item monitoring of office building energy consumption, and further achieving improved accuracy in sub-item monitoring of office building energy consumption, effectively solving the problem of inaccurate sub-item monitoring of office building energy consumption in the prior art.

[0064] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0065] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0066] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0067] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0068] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0069] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A building energy-saving method based on item-by-item monitoring of energy consumption, characterized in that: The following steps are involved: S1, collecting real-time sub-item monitoring data within a preset time interval through energy consumption monitoring equipment, and pre-processing the real-time sub-item monitoring data to obtain sub-item monitoring data; S2, evaluating the energy consumption of the preset energy-consuming equipment according to the sub-item monitoring data to obtain a total monitoring energy consumption evaluation index, and judging whether to perform sub-item energy-saving optimization based on the total monitoring energy consumption evaluation index and the preset energy consumption evaluation threshold range, wherein the total monitoring energy consumption evaluation index is used to comprehensively quantify the energy consumption of the preset energy-consuming equipment; S3, after executing the sub-item energy-saving optimization, evaluating the effect of the sub-item energy-saving optimization to obtain a sub-item optimization effect evaluation index, wherein the sub-item optimization effect evaluation index is used to quantify the effect of the sub-item energy-saving optimization; S4, performing a comprehensive evaluation based on the sub-item optimization effect evaluation index and the preset optimization effect threshold range and combining the total monitoring energy consumption evaluation index to obtain a comprehensive evaluation result and provide feedback.

2. A building energy-saving method based on item-by-item monitoring of energy consumption as claimed in claim 1, characterized in that: The real-time itemized monitoring data includes real-time itemized lighting energy consumption data, real-time itemized air conditioning energy consumption data, and real-time itemized office equipment energy consumption data; The real-time item-by-item monitoring data is used to describe the energy consumption of preset energy-consuming equipment.

3. A building energy-saving method based on item-by-item monitoring of energy consumption as claimed in claim 1, characterized in that: The energy consumption of the preset energy-consuming equipment is evaluated according to the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index, which also includes obtaining the sub-item energy consumption related evaluation data of the preset energy-consuming equipment in the preset office floor area within the preset time interval: The energy consumption related assessment data of each item includes lighting related assessment data, air conditioning related assessment data and office related assessment data; The lighting-related evaluation data includes lighting rated power, lighting equipment operating time, and lighting use correction factor, wherein the lighting use correction factor is the ratio of the lighting equipment operating time to the preset time interval; The office-related evaluation data includes the rated power of office equipment, the operating time of office equipment and the use correction factor of office equipment, wherein the use correction factor of office equipment is the ratio of the operating time of lighting equipment to the preset time interval; The air conditioner related evaluation data includes the air conditioner rated power, the air conditioner equipment operating time and the air conditioner use correction factor, and the air conditioner use correction factor is the ratio of the air conditioner equipment operating time to the preset time interval.

4. A building energy-saving method based on item-by-item monitoring of energy consumption as claimed in claim 3, characterized in that: The specific steps of evaluating the energy consumption of the preset energy-consuming equipment according to the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index are as follows: The lighting-related evaluation data and the lighting equipment efficiency impact factor obtained from the preset database are multiplied to obtain a lighting energy consumption evaluation value, wherein the lighting energy consumption evaluation value is the product of the lighting-related evaluation data and the lighting equipment efficiency impact factor, and the lighting energy consumption evaluation value is used to quantify the energy consumption of the lighting equipment; The air conditioning related evaluation data and the air conditioning equipment efficiency influence factor obtained from the preset database are multiplied to obtain an air conditioning energy consumption evaluation value, wherein the air conditioning energy consumption evaluation value is the product of the air conditioning related evaluation data and the air conditioning equipment efficiency influence factor, and the air conditioning energy consumption evaluation value is used to quantify the energy consumption of the air conditioning equipment; The office energy consumption evaluation value is obtained by multiplying the office-related evaluation data and the office equipment efficiency influence factor obtained from the preset database, wherein the office energy consumption evaluation value is the product of the office-related evaluation data and the office equipment efficiency influence factor, and the office energy consumption evaluation value is used to quantify the energy consumption of the office equipment; The lighting energy consumption assessment value, air conditioning energy consumption assessment value and office energy consumption assessment value of the preset energy consumption equipment in the preset office floor area are summed with the corresponding energy consumption assessment weights obtained from the preset database to obtain the total monitoring energy consumption assessment index, where the energy consumption assessment weights include lighting energy consumption weights, air conditioning energy consumption weights and office equipment energy consumption weights.

5. A building energy-saving method based on item-by-item monitoring of energy consumption as claimed in claim 4, characterized in that: The method for obtaining the total monitoring energy consumption evaluation index is as follows: Wherein, E(T) represents the total monitoring energy consumption evaluation index within the Tth preset time interval, α represents the lighting energy consumption weight, β represents the air conditioning energy consumption weight, γ represents the office equipment energy consumption weight, T represents the number of the preset time interval, T=1,2,...,Y, Y represents the total number of preset time intervals, f represents the number of preset lighting equipment in the preset office floor area, f=1,2,...,F, F represents the total number of preset lighting equipment in the preset office floor area, b represents the number of preset air conditioning equipment in the preset office floor area, b=1,2,...,B, B represents the total number of preset air conditioning equipment in the preset office floor area, d represents the number of preset office equipment in the preset office floor area, d=1,2,...,D, D represents the total number of preset office equipment in the preset office floor area, represents the lighting energy consumption evaluation value of the f-th preset lighting device within the T-th preset time interval, represents the air conditioning energy consumption evaluation value of the b-th preset air conditioning device within the T-th preset time interval, represents the office energy consumption evaluation value of the d-th preset office equipment in the T-th preset time interval, represents the lighting rated power of the fth preset lighting device, represents the rated power of the air conditioner of the bth preset air conditioner, represents the office equipment rated power of the dth preset office equipment, represents the lighting device operating time of the fth preset lighting device in the Tth preset time interval, represents the air conditioning equipment operation time of the b-th preset air conditioning equipment in the T-th preset time interval, represents the office equipment operation time of the dth preset office equipment in the Tth preset time interval, η L represents the lighting equipment efficiency influencing factor, η A represents the efficiency influencing factor of air conditioning equipment, η C represents the influencing factor of office equipment efficiency, represents the lighting usage correction factor, represents the correction factor for air conditioning use, Represents the correction factor for office equipment usage.

6. A building energy-saving method based on item-by-item monitoring of energy consumption as claimed in claim 5, characterized in that: The specific steps of determining whether to perform sub-item energy-saving optimization based on the total monitoring energy consumption evaluation index and the preset energy consumption evaluation threshold range are as follows: The total monitoring energy consumption evaluation index is compared with the preset energy consumption evaluation threshold range. If the total monitoring energy consumption evaluation index is within the preset energy consumption evaluation threshold range, the sub-item energy saving optimization is not performed; If the total monitored energy consumption assessment index exceeds the preset energy consumption assessment threshold range, sub-item energy saving optimization will be performed.

7. A building energy-saving method based on item-by-item monitoring of energy consumption as claimed in claim 6, characterized in that: The specific steps of performing the sub-item energy-saving optimization are as follows: Remind the preset personnel to optimize the lighting equipment energy saving, and obtain the total monitoring and evaluation index after the preset personnel optimize the lighting equipment energy saving within the preset time interval, the lighting equipment energy saving optimization includes brightness optimization and lighting quantity optimization, the brightness optimization means adjusting the brightness of the lighting equipment to the minimum value of the lighting equipment, the lighting quantity optimization means reducing the number of lighting equipment, and the lighting equipment minimum value is used to describe the minimum brightness of the preset lighting equipment; Determine whether the total monitoring and evaluation index after the lighting equipment energy-saving optimization exceeds the preset energy consumption evaluation threshold range. If the total monitoring and evaluation index exceeds the preset energy consumption evaluation threshold range, remind the preset personnel to perform air-conditioning equipment energy-saving optimization, and obtain the total monitoring and evaluation index after the preset personnel perform lighting equipment energy-saving optimization within a preset time interval, otherwise end the sub-item energy-saving optimization. The air-conditioning equipment energy-saving optimization includes temperature optimization and air-conditioning quantity optimization. The temperature optimization means adjusting the air-conditioning equipment to the optimal value of the air-conditioning equipment. The air-conditioning quantity optimization means reducing the number of air-conditioning equipment. The optimal value of the air-conditioning equipment is used to describe the optimal temperature of the preset air-conditioning equipment. Determine whether the total monitoring and evaluation index after the energy-saving optimization of the air-conditioning equipment exceeds the preset energy consumption evaluation threshold range. If the total monitoring and evaluation index exceeds the preset energy consumption evaluation threshold range, remind the preset personnel to perform energy-saving optimization of office equipment, otherwise no reminder will be made. The office equipment energy-saving optimization includes office quantity optimization and equipment optimization. The office quantity optimization means reducing the number of office equipment in standby state.

8. A building energy-saving method based on item-by-item monitoring of energy consumption as claimed in claim 1, characterized in that: The specific steps of evaluating the effect of sub-item energy-saving optimization to obtain the sub-item optimization effect evaluation index are as follows: Obtaining the carbon emissions of preset energy-consuming equipment within a preset time interval and the optimized carbon emissions within a preset time interval after performing item-by-item energy-saving optimization; The sub-item optimization effect evaluation index is obtained based on the ratio of the difference between carbon emissions and optimized carbon emissions to carbon emissions combined with the carbon emissions influencing factors obtained from the preset database.

9. A building energy saving method based on item-by-item monitoring of energy consumption as claimed in claim 1, characterized in that: The specific steps for obtaining the comprehensive evaluation results are as follows: Determine whether the total monitoring energy consumption evaluation index obtained is within the preset energy consumption evaluation threshold range. If the total monitoring energy consumption evaluation index obtained is within the preset energy consumption evaluation threshold range, the total energy consumption evaluation result is recorded as normal for the total energy consumption and no sub-item energy-saving optimization is performed; otherwise, the total energy consumption evaluation result is recorded as abnormal for the total energy consumption and sub-item energy-saving optimization is performed; Determine whether the obtained sub-item optimization effect evaluation index is within the preset optimization effect threshold range. If the sub-item optimization effect evaluation index is within the preset optimization effect threshold range, the sub-item energy consumption evaluation result is recorded as abnormal total energy consumption and qualified sub-item energy-saving optimization effect. Otherwise, the sub-item energy consumption evaluation result is recorded as abnormal total energy consumption and unqualified sub-item energy-saving optimization effect, and remind the preset personnel to perform aging detection of preset energy consumption equipment system. The comprehensive assessment results include the overall energy consumption assessment results and the sub-item energy consumption assessment results.

10. A building energy-saving system based on item-by-item monitoring of energy consumption, characterized in that: include: Monitoring data collection module, energy consumption assessment and judgment module, optimization effect evaluation module, and comprehensive evaluation feedback module; The monitoring data acquisition module is used to collect real-time sub-item monitoring data within a preset time interval through the energy consumption monitoring device, and pre-process the real-time sub-item monitoring data to obtain sub-item monitoring data; The energy consumption evaluation and judgment module is used to evaluate the energy consumption of the preset energy consumption equipment according to the sub-item monitoring data to obtain the total monitoring energy consumption evaluation index, and judge whether to perform sub-item energy-saving optimization based on the total monitoring energy consumption evaluation index and the preset energy consumption evaluation threshold range. The total monitoring energy consumption evaluation index is used to comprehensively quantify the energy consumption of the preset energy consumption equipment; The optimization effect evaluation module is used to evaluate the effect of the sub-item energy-saving optimization after executing the sub-item energy-saving optimization to obtain a sub-item optimization effect evaluation index, and the sub-item optimization effect evaluation index is used to quantify the effect of the sub-item energy-saving optimization; The comprehensive evaluation feedback module is used to perform a comprehensive evaluation based on the sub-item optimization effect evaluation index and the preset optimization effect threshold range in combination with the total monitoring energy consumption evaluation index to obtain a comprehensive evaluation result and provide feedback.

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