A building energy efficiency optimization processing method, system, storage medium and electronic equipment

Abstract

The present invention discloses a building energy efficiency optimization processing method, system, storage medium and electronic equipment, which relates to the field of building energy efficiency monitoring technology, including obtaining the layout information of the target building, determining the systems at all levels in the target building, and respectively determining the working energy consumption of the systems at all levels; according to the systems at all levels in the target building, real-time collection of energy consumption data information of the target building, and determining the actual energy consumption of the systems at all levels; according to the layout information of the target building and the working energy consumption of the systems at all levels, constructing an energy consumption monitoring model of the target building. The present invention can fully display the real energy conversion efficiency and equipment utilization efficiency of the building by analyzing the energy consumption efficiency and capacity efficiency of the building. That is, it effectively solves the shortcomings of the prior art that the real energy conversion efficiency and equipment utilization efficiency of the building cannot be truly displayed.

Description

Technical Field

[0001] The present invention relates to the technical field of building energy efficiency monitoring, and in particular to a building energy efficiency optimization processing method, system, storage medium and electronic equipment. Background Art

[0002] During the planning, design, construction, use and maintenance of buildings, efficient energy utilization technologies and management measures are adopted to reduce energy consumption and improve energy efficiency, thereby achieving energy conservation and emission reduction, reducing operating costs, and improving the comfort and sustainability of the building environment.

[0003] At present, the energy efficiency of buildings generally adopts the index method to directly compare the building energy consumption. Although it can analyze the building energy consumption to a certain extent, it simply equates buildings with low per capita or unit area total energy consumption with buildings with high energy efficiency. It is very likely that the same building will show different energy efficiency indicators under different weather and climate conditions, which cannot truly show the actual energy conversion efficiency of the building and the efficiency of equipment utilization. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art that the actual energy conversion efficiency of the building and the equipment utilization efficiency cannot be truly displayed, and a building energy efficiency optimization processing method, system, storage medium and electronic equipment are proposed.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a method for optimizing building energy efficiency, comprising:

[0007] Obtain the layout information of the target building, determine the systems at all levels in the target building, and determine the working energy consumption of the systems at all levels respectively;

[0008] According to the various systems in the target building, the energy consumption data of the target building is collected in real time to determine the actual energy consumption of the various systems;

[0009] According to the layout information of the target building and the working energy consumption of various systems, an energy consumption monitoring model of the target building is constructed;

[0010] According to the energy consumption monitoring model of the target building, the actual energy consumption of the systems at all levels in the target modeling is analyzed to determine the working status information of the systems at all levels in the target building;

[0011] According to the working status information of each level of systems in the target building and combined with the energy consumption monitoring model of the target building, the optimization processing information of each level of systems in the target building is determined respectively;

[0012] According to the optimization processing information of each level of systems in the target building, the systems at each level in the target building are optimized.

[0013] In a feasible solution, the method for constructing the energy consumption monitoring model of the target building includes:

[0014] Determine the total energy consumption information of the target building based on the number of systems at all levels of the target building and the working energy consumption of the systems at all levels;

[0015] According to the total energy consumption information of the target building and the working energy consumption of each level of systems, the energy consumption reference information of each level of systems is determined respectively;

[0016] Determine the total rated power of the target building based on the working energy consumption of each system and the working rated power of each system;

[0017] According to the working rated power of each system and the total rated power of the target building, the capacity energy efficiency information of each system is determined respectively;

[0018] According to the energy consumption reference information of systems at all levels and the capacity energy efficiency information of systems at all levels, the energy consumption proportion of systems at all levels and the capacity energy efficiency proportion of systems at all levels are respectively matched with coefficients to determine the energy consumption monitoring model of the target building.

[0019] In a feasible solution, the method for constructing the energy consumption monitoring model of the target building further includes:

[0020] Assume that there are n systems in the target building, and in a certain period of time, the energy consumption of the n systems is W1, W2, W3, ..., W n , at this time W 总 is the total energy consumption information of the target building, then:

[0021] ,

[0022] in, is the energy efficiency reference data of the target building per unit time, is the energy efficiency index of n systems, is the energy efficiency index weight, is the capacity energy efficiency index of n systems, is the capacity energy efficiency index weight, and a+b=1;

[0023] Specifically, the Calculate it by the following formula:

[0024] ,

[0025] Specifically, the Calculate it by the following formula:

[0026] ,

[0027] in, is the per capita energy consumption of the nth system per unit time, is the number of people in the target building; is the rated power of the nth system, is the per capita rated power of the nth system per unit time, is the total rated power of n systems in the target building.

[0028] In a feasible solution, the method for determining the working status information of various levels of systems in the target building includes:

[0029] Collect the energy consumption of each system in a certain time period in real time, obtain the number of people in the target building, and determine the actual energy consumption index of each system in the target building;

[0030] According to the energy consumption monitoring model of the target building, the actual energy consumption index of each system in the target building is analyzed to determine the first target system to be optimized;

[0031] According to the layout information of the target building and the rated power of each system at each level, and combined with the number of people in the target building, the capacity energy efficiency index of each system in the target building is determined respectively;

[0032] According to the energy consumption monitoring model of the target building, the capacity energy efficiency index of each system in the target building is analyzed to determine the second target system to be optimized.

[0033] In a feasible solution, the method of respectively determining the optimization processing information of each level of the system in the target building includes:

[0034] According to the energy consumption monitoring model of the target building, set the energy consumption reference parameters and capacity reference parameters of each level of system respectively;

[0035] Compare the actual energy consumption index of the first target system to be optimized with the energy consumption reference parameters of the systems at all levels to determine the optimization processing information of the first target system to be optimized;

[0036] The capacity energy efficiency index of the second target system to be optimized is compared with the capacity reference parameters of the systems at all levels to determine the optimization processing information of the second target system to be optimized.

[0037] In a feasible solution, the method for determining the optimization processing information of the first target system to be optimized includes:

[0038] Determine the energy consumption and efficiency index of each level of systems according to the actual energy consumption index of each level of systems;

[0039] Compare the energy consumption efficiency index of each level of system with the energy consumption reference parameter of each level of system. If the energy consumption efficiency index of each level of system is greater than the energy consumption reference parameter of each level of system, determine the first target system to be optimized with abnormal values ​​in each level of system;

[0040] According to the comparison between the energy consumption and efficiency index of each level of system and the energy consumption reference parameters of each level of system, the first target system to be optimized with abnormal values ​​is adjusted in value.

[0041] In a feasible solution, the method for determining the optimization processing information of the second target system to be optimized includes:

[0042] Determine the capacity energy efficiency index of each level of system based on the rated power of each level of system and the number of people in the target building;

[0043] Compare the capacity energy efficiency index of the systems at all levels with the capacity reference parameters of the systems at all levels. If the capacity energy efficiency index of the systems at all levels is greater than the capacity reference parameters of the systems at all levels, determine the second target system to be optimized that has a numerical anomaly in the systems at all levels.

[0044] According to the comparison between the capacity energy efficiency index of each level of system and the capacity reference parameters of each level of system, the second target system to be optimized with abnormal values ​​is adjusted in value.

[0045] In a second aspect, the present invention provides a building energy efficiency optimization processing system, which adopts a building energy efficiency optimization processing method as described in any one of the first aspects.

[0046] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, a building energy efficiency optimization processing method as described in any one of the first aspects is implemented.

[0047] In a fourth aspect, the present invention provides an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored; when the one or more programs are executed by the one or more processors, the one or more processors implement a building energy efficiency optimization processing method as described in any one of the first aspects.

[0048] The beneficial effects of the present invention are:

[0049] The present invention can fully display the real energy conversion efficiency and equipment utilization efficiency of the building by analyzing the energy consumption efficiency and capacity efficiency of the building, which effectively solves the shortcomings of the prior art that the real energy conversion efficiency and equipment utilization efficiency of the building cannot be truly displayed. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the overall process of a building energy efficiency optimization processing method provided in an embodiment of the present invention;

[0051] Figure 2 This is a schematic diagram of the first part of the process of a building energy efficiency optimization processing method provided in an embodiment of the present invention;

[0052] Figure 3 This is a schematic diagram of the second part of the flow chart of a building energy efficiency optimization processing method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0055] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the meaning of "and / or" appearing in the full text includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0057] Example: Refer to Figures 1 to 3 In this embodiment, the present invention proposes a building energy efficiency optimization processing method in order to solve the shortcomings of the prior art that the actual energy conversion efficiency of the building and the equipment utilization efficiency cannot be truly displayed. The optimization processing method pre-acquires information such as the number of systems existing in the building and their working energy consumption, and formulates an energy consumption monitoring model based on the energy consumption efficiency and capacity efficiency existing in the building. When the energy consumption efficiency and capacity efficiency are abnormal, the systems at all levels in the building can be analyzed in time to obtain the optimization processing means. That is, the present invention can fully display the actual energy conversion efficiency and equipment utilization efficiency of the building by analyzing the energy consumption efficiency and capacity efficiency of the building. That is, it effectively solves the shortcomings of the prior art that the actual energy conversion efficiency and equipment utilization efficiency of the building cannot be truly displayed.

[0058] Specifically, the optimization processing method includes: obtaining the layout information of the target building in advance, determining the various systems in the target building, and respectively determining the working energy consumption of the various systems (such as rated power, energy consumption data, etc.); that is, obtaining all the systems in the target building, and determining the rated power, energy consumption data, etc. of each system. According to the various systems in the target building, the energy consumption data information of the target building is collected in real time to determine the actual energy consumption of the various systems, that is, the energy consumption data of the target building can be collected in a certain time period (such as day, month, year, etc.) to determine the actual energy consumption of the target building. Here, in order to monitor the actual energy consumption of the target building more intelligently, an energy consumption monitoring model of the target building can be constructed according to the layout information of the target building and the working energy consumption of systems at all levels; then, according to the energy consumption monitoring model of the target building, the actual energy consumption of systems at all levels in the target modeling is analyzed to determine the working status information of systems at all levels in the target building; then, the real energy conversion efficiency of the building and the equipment utilization efficiency can be determined, and then, according to the working status information of systems at all levels in the target building and combined with the energy consumption monitoring model of the target building, the optimization processing information of systems at all levels in the target building can be determined respectively; that is, according to the real energy conversion efficiency and equipment utilization efficiency of the building, the system to be optimized in the target building can be adjusted, that is, according to the optimization processing information of systems at all levels in the target building, the systems at all levels in the target building are optimized.

[0059] In this embodiment, in order to facilitate understanding of how to construct the energy consumption monitoring model of the target building, the following description is given. Specifically, the method for constructing the energy consumption monitoring model of the target building includes:

[0060] According to the number of systems at all levels of the target building and the working energy consumption of the systems at all levels, the total energy consumption information of the target building is determined; that is, according to the number of systems at all levels in the target building and their working energy consumption, the total energy consumption in a certain time period is estimated. At the same time, according to the total energy consumption information of the target building and the working energy consumption of the systems at all levels, the energy consumption reference information of the systems at all levels is determined respectively, that is, the energy consumption reference information of each system at all levels is determined. Then, according to the working energy consumption of the systems at all levels and the working rated power of the systems at all levels, the total rated power of the target building is determined, and then according to the working rated power of the systems at all levels and the total rated power of the target building, the capacity energy efficiency information of the systems at all levels is determined respectively, that is, the operating capacity of the equipment in the target building is determined; then, according to the energy consumption reference information of the systems at all levels and the capacity energy efficiency information of the systems at all levels, the energy consumption proportion of the systems at all levels and the capacity energy efficiency proportion of the systems at all levels are respectively matched with coefficients to determine the energy consumption monitoring model of the target building. In a preferred embodiment, the energy consumption and capacity of the target building can be coefficient matched according to past history, and then the energy conversion efficiency and equipment utilization efficiency of the target building can be finally determined based on the energy consumption data and capacity data of each level of systems in the target building actually collected.

[0061] Specifically, the method for constructing the energy consumption monitoring model of the target building also includes:

[0062] Assume that there are n systems in the target building, and in a certain period of time, the energy consumption of the n systems is W1, W2, W3, ..., W n , at this time W 总 is the total energy consumption information of the target building, then:

[0063] ,

[0064] in, is the energy efficiency reference data of the target building per unit time, is the energy efficiency index of n systems, is the energy efficiency index weight, is the capacity energy efficiency index of n systems, is the capacity energy efficiency index weight, and a+b=1;

[0065] Specifically, the Calculate it by the following formula:

[0066] ,

[0067] Specifically, the Calculate it by the following formula:

[0068] ,

[0069] in, is the per capita energy consumption of the nth system per unit time, is the number of people in the target building; is the rated power of the nth system, is the per capita rated power of the nth system per unit time, is the total rated power of n systems in the target building. is the energy utilization rate of the target building when the number of people per unit time remains unchanged. is the operating capacity ratio of each level of systems in the target building, that is It can be used as a basis for evaluating the energy conversion efficiency of target buildings. It can be used as a basis for evaluating equipment utilization efficiency. In some preferred embodiments, ,like >100%, it means that in the current time segment, the energy consumption of each system in the target building is greater than the average energy consumption, that is, The larger the value, the greater the optimization space of energy utilization efficiency of the target building. At this time, it is necessary to use this formula to calculate the energy consumption index of each system at all levels in the target building. Calculation is performed, and the system with abnormally large data is taken as the target system to be optimized and adjusted and optimized. That is, the method for determining the working status information of the systems at all levels in the target building includes: the actual energy consumption index of each system in the target building can be determined by real-time acquisition of the energy consumption of the systems at all levels within a certain time series, and the number of people in the target building is obtained; then, according to the energy consumption monitoring model of the target building, the actual energy consumption index of each system in the target building is analyzed to determine the first target system to be optimized; then, according to the actual energy consumption index of the systems at all levels, the energy consumption efficiency index of the systems at all levels is determined; the energy consumption efficiency index of the systems at all levels is compared with the energy consumption reference parameters of the systems at all levels. If the energy consumption efficiency index of the systems at all levels is greater than the energy consumption reference parameters of the systems at all levels, the first target system to be optimized with numerical abnormalities in the systems at all levels is determined at the same time; according to the comparison of the energy consumption efficiency index of the systems at all levels with the energy consumption reference parameters of the systems at all levels, the first target system to be optimized with numerical abnormalities is adjusted numerically. In order to facilitate understanding of how to determine the first target system to be optimized, the following example is given. For example, the air-conditioning system can adjust its temperature and energy usage time, inspect the insulation of the air-conditioning system pipes, solve the problem of pipe leakage, and reduce the energy consumption data of the system to be optimized until its data is normal. At this time, the system to be optimized After calculation, the value can be infinitely close to or less than 1. At the same time, for the hot and cold water system, the water pump power can be adjusted to control it to be in the optimal power range and improve its water pump efficiency.

[0070] In a feasible embodiment, the application can also calculate and evaluate the energy efficiency of the target building every day, which is conducive to real-time understanding of the health status of building equipment and detecting the equipment status when the building energy efficiency is too high or too low. For example, the energy efficiency index of the power distribution monitoring system and the computer room air conditioning system in the target building Calculate if <30%, indicating that the energy consumption of the computer room or power distribution monitoring system is abnormally reduced. Together with the computer room temperature sensor, it can be identified and determined whether the computer room has a fault and perform maintenance.

[0071] When examining the equipment utilization rate of each level of the system in the target building, the ,like The appearance of abnormal data indicates that the capacity of the target building is redundant, and it can also be determined as a target to be optimized. That is, according to the energy consumption monitoring model of the target building, the capacity reference parameters in each level of the system are pre-set, and then the capacity energy efficiency index of each level of the system is determined according to the rated power of each level of the system and the number of personnel in the target building; the capacity energy efficiency index of each level of the system is compared with the capacity reference parameters of each level of the system. If the capacity energy efficiency index of each level of the system is greater than the capacity reference parameters of each level of the system, the second target system to be optimized with abnormal values ​​in the system at all levels is determined at the same time; according to the comparison between the capacity energy efficiency index of each level of the system and the capacity reference parameters of each level of the system, the second target system to be optimized with abnormal values ​​is adjusted. In order to facilitate understanding of how to determine and adjust the second target system to be optimized, the following example is given here. For example, for the boiler system, if the formula If the calculated value is greater than 1, the use of some boilers or their supporting water pumps will be suspended, which will reduce the per capita utilization rate of the system and eventually make The calculated value is close to or less than 100%, which improves the overall utilization rate of building energy efficiency equipment. In addition, in this embodiment, this technical solution can also assist in judging the operating conditions of office buildings. >2, indicating that there has been a long-term redundancy of equipment in the building, and the proportion of occupants has not met the design standard. This may provide a risk warning for the operating status of the office building, and improvement of the operating status may be promoted through price adjustments or marketing.

[0072] In one possible embodiment, The index can also identify the operation and maintenance level of commercial buildings and record the daily building energy efficiency. , calculate its monthly mean ( is the arithmetic mean of daily building energy efficiency), ( The average and variance values ​​of energy efficiency can be used to determine the average and stable operation of the building.

[0073] In addition, this solution can also judge the normal operation system and operation level of the target building, including the anti-theft alarm system, electronic patrol system, parking lot management system, etc. The rated power of the recording system is M1, M2, M3..., the total rated power is Mtotal, and the energy efficiency of its subsystems is Ea1, Ea2, Ea3..., and its energy efficiency Ea normal = (M1 / Mtotal)* Ea1+(M2 / Mtotal)* Ea2+...

[0074] If the normal value of Ea is >1.2, it proves that some equipment has abnormal energy consumption. The far-infrared detection method can be used to inspect the normally operating system equipment and lines to find abnormal hot spots. If the normal value of Ea is <0.8, it proves that some equipment has stopped running. The disconnected and abnormally stopped equipment can be repaired and replaced on the system software platform.

[0075] In a second aspect, the present invention provides a building energy efficiency optimization processing system, which adopts a building energy efficiency optimization processing method as described in any one of the first aspects.

[0076] In some embodiments, the processing system can communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0077] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0078] The third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, a building energy efficiency optimization processing method as described in any one of the first aspects is implemented. The computer-readable storage medium in this embodiment can be written in one or more programming languages ​​or a combination thereof to write computer program codes for performing the operations of some embodiments of the present disclosure, wherein the programming languages ​​include object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0079] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0080] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart.

[0081] The fourth aspect of the present invention provides an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; when the one or more programs are executed by the one or more processors, the one or more processors implement a building energy efficiency optimization processing method as described in the first aspect. The above-mentioned computer-readable storage medium may be included in the above-mentioned electronic device; or it may exist separately, that is, not assembled into the electronic device. The above-mentioned computer-readable storage medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device can implement a building energy efficiency optimization processing method as described in the first aspect.

[0082] A fifth aspect of the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements a building energy efficiency optimization processing method as described in the first aspect.

[0083] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A building energy efficiency optimization processing method, characterized in that: include: Obtain the layout information of the target building, determine the systems at all levels in the target building, and determine the working energy consumption of the systems at all levels respectively; According to the various systems in the target building, the energy consumption data of the target building is collected in real time to determine the actual energy consumption of the various systems; According to the layout information of the target building and the working energy consumption of various systems, an energy consumption monitoring model of the target building is constructed; According to the energy consumption monitoring model of the target building, the actual energy consumption of the systems at all levels in the target modeling is analyzed to determine the working status information of the systems at all levels in the target building; According to the working status information of each level of systems in the target building and combined with the energy consumption monitoring model of the target building, the optimization processing information of each level of systems in the target building is determined respectively; According to the optimization processing information of each level of systems in the target building, optimize the systems at all levels in the target building; Specifically, the method for constructing the energy consumption monitoring model of the target building includes: Determine the total energy consumption information of the target building based on the number of systems at all levels of the target building and the working energy consumption of the systems at all levels; According to the total energy consumption information of the target building and the working energy consumption of each level of systems, the energy consumption reference information of each level of systems is determined respectively; Determine the total rated power of the target building based on the working energy consumption of each system and the working rated power of each system; According to the working rated power of each system and the total rated power of the target building, the capacity energy efficiency information of each system is determined respectively; According to the energy consumption reference information of each level of system and the capacity energy efficiency information of each level of system, the energy consumption proportion of each level of system and the capacity energy efficiency proportion of each level of system are respectively matched with coefficients to determine the energy consumption monitoring model of the target building; The method for constructing the energy consumption monitoring model of the target building further includes: Assume that there are n systems in the target building, and in a certain period of time, the energy consumption of the n systems is W1, W2, W3, ..., W n , at this time W 总 is the total energy consumption information of the target building, then: ， in, is the energy efficiency reference data of the target building per unit time, is the energy efficiency index of n systems, is the energy efficiency index weight, is the capacity energy efficiency index of n systems, is the capacity energy efficiency index weight, and a+b=1; Specifically, the Calculate it by the following formula: ， Specifically, the Calculate it by the following formula: ， in, is the per capita energy consumption of the nth system per unit time, is the number of people in the target building; is the rated power of the nth system, is the average per capita rated power of the nth system per unit time, is the total rated power of n systems in the target building.

2. A building energy efficiency optimization processing method according to claim 1, characterized in that: The method for determining the working status information of various levels of systems in the target building includes: Collect the energy consumption of each system in a certain time series in real time, obtain the number of people in the target building, and determine the actual energy consumption index of each system in the target building; According to the energy consumption monitoring model of the target building, the actual energy consumption index of each system in the target building is analyzed to determine the first target system to be optimized; According to the layout information of the target building and the rated power of each system at each level, and combined with the number of people in the target building, the capacity energy efficiency index of each system in the target building is determined respectively; According to the energy consumption monitoring model of the target building, the capacity energy efficiency index of each system in the target building is analyzed to determine the second target system to be optimized.

3. A building energy efficiency optimization processing method according to claim 2, characterized in that: The method for respectively determining the optimization processing information of each level of the system in the target building comprises: According to the energy consumption monitoring model of the target building, set the energy consumption reference parameters and capacity reference parameters of each level of system respectively; Compare the actual energy consumption index of the first target system to be optimized with the energy consumption reference parameters of the systems at all levels to determine the optimization processing information of the first target system to be optimized; The capacity energy efficiency index of the second target system to be optimized is compared with the capacity reference parameters of the systems at all levels to determine the optimization processing information of the second target system to be optimized.

4. A building energy efficiency optimization processing method according to claim 3, characterized in that: The method for determining the optimization processing information of the first target system to be optimized includes: Determine the energy consumption and efficiency index of each level of systems according to the actual energy consumption index of each level of systems; Compare the energy consumption efficiency index of each level of system with the energy consumption reference parameter of each level of system. If the energy consumption efficiency index of each level of system is greater than the energy consumption reference parameter of each level of system, determine the first target system to be optimized with abnormal values ​​in each level of system; According to the comparison between the energy consumption and efficiency index of each level of system and the energy consumption reference parameters of each level of system, the first target system to be optimized with abnormal values ​​is adjusted in value.

5. A building energy efficiency optimization processing method according to claim 4, characterized in that: The method for determining the optimization processing information of the second target system to be optimized includes: Determine the capacity energy efficiency index of each level of system based on the rated power of each level of system and the number of people in the target building; Compare the capacity energy efficiency index of the systems at all levels with the capacity reference parameters of the systems at all levels. If the capacity energy efficiency index of the systems at all levels is greater than the capacity reference parameters of the systems at all levels, determine the second target system to be optimized that has a numerical anomaly in the systems at all levels. According to the comparison between the capacity energy efficiency index of each level of system and the capacity reference parameters of each level of system, the second target system to be optimized with abnormal values ​​is adjusted in value.

6. A building energy efficiency optimization processing system, characterized in that: A building energy efficiency optimization processing method as described in any one of claims 1 to 5 is adopted.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: in, When the program is executed by a processor, a building energy efficiency optimization processing method as described in any one of claims 1 to 5 is implemented.

8. An electronic device, comprising: one or more processors; A storage device having one or more programs stored thereon; characterized in that: When the one or more programs are executed by the one or more processors, the one or more processors implement a building energy efficiency optimization processing method as described in any one of claims 1 to 5.

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