CN113052465A - Power utilization energy efficiency analysis system and method for power consumer - Google Patents
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Abstract
The invention discloses a power consumption energy efficiency analysis system and a method thereof for a power consumer, wherein the power consumption energy efficiency analysis system comprises the following steps: the system comprises an information acquisition device, a wireless communication device and a controller; information acquisition device, wireless communication device connect controller respectively, the controller includes: the wireless communication system comprises a processor module, a wireless communication interface circuit, a power switch control circuit, a bus interface circuit and a power circuit, wherein the processor module is connected with the wireless communication interface circuit, the power switch control circuit and the bus interface circuit; and the controller receives the energy consumption data of each device of each user and analyzes the energy consumption of the user. By adopting the technical scheme of the invention, comprehensive energy management measures can be provided for various facilities such as water, electricity, gas and heat of energy consumption units, the operation scheme is optimized, and technical means and scientific basis in the aspect of energy-saving transformation are provided.
Description
Technical Field
The invention belongs to the technical field of user electricity consumption analysis, and particularly relates to an electricity consumption energy efficiency analysis system and method for a power user.
Background
The energy consumption structure of China is mainly the second industry, the third industry and the domestic electricity consumption of urban and rural residents, wherein the domestic electricity consumption of the urban and rural residents is closely related to the life of common residents, and the proportion of the domestic electricity consumption in the total electricity consumption is gradually improved along with the development of economy. In the world, along with popularization of the national green power utilization concept and development of the low-carbon economy concept, all countries develop towards the low-carbon economy, energy conservation and emission reduction. Promoting widespread use of renewable energy sources has become a goal in new situations, Demand-side Management (DSM) has led users to improve their power usage habits and reduce power costs. In order to improve the energy efficiency of residents, the establishment of an energy efficiency analysis model is particularly important, and the energy efficiency analysis model can be used for measuring the household power utilization level, guiding users to reasonably utilize power and providing scientific basis for the reasonable scheduling of demand side management of power companies.
At present, most of domestic and foreign researches analyze the energy efficiency level of industrial users, energy efficiency assessment related to common power users is rare, and in addition, partial index data are difficult to obtain or influence on the energy efficiency of residents is difficult to assess. In the aspect of user classification, the current research on the portrait of the power user focuses more on marketing business, mainly aims at improving the user payment enthusiasm, and adopts a data source mainly from a marketing system. Because refined power consumption data of users are lacked, and data samples with higher difficulty in acquiring basic information data of the users are fewer, the research of paying attention to power grid requirements or user requirements is rare.
Disclosure of Invention
The invention aims to provide an electric energy utilization efficiency analysis system and method for power users, which can provide comprehensive energy management measures for various facilities such as energy consumption units of water, electricity, gas, heat and the like through centralized collection, real-time monitoring, grading diagnosis and sharing of each layer of energy equipment, optimize an operation scheme and provide technical means and scientific basis in the aspect of energy conservation and improvement.
In order to achieve the purpose, the invention adopts the following technical scheme:
a power consumer electricity energy efficiency analysis system comprises: the system comprises an information acquisition device, a wireless communication device and a controller; information acquisition device, wireless communication device connect controller respectively, the controller includes: the wireless communication device comprises a processor module, a wireless communication interface circuit, a power switch control circuit, a bus interface circuit and a power circuit, wherein the processor module is connected with the wireless communication interface circuit, the power switch control circuit and the bus interface circuit; the information acquisition devices are respectively deployed on a plurality of users and used for acquiring energy consumption data of each device of the corresponding user; the equipment is at least one of electric energy equipment, water energy equipment and gas energy equipment, and when the equipment is the electric energy equipment, the energy consumption data correspondingly comprises the following steps: electricity consumption, voltage, current, real-time power; when the equipment is hydraulic energy equipment, the energy consumption data correspondingly comprises the following steps: the amount of water used; when the device is a gas energy device, the energy consumption data correspondingly comprises: gas consumption; and the controller receives the energy consumption data of each device of each user and analyzes the energy consumption of the user.
Preferably, the processor module comprises:
the system comprises an information acquisition unit, a service processing unit and a service processing unit, wherein the information acquisition unit is used for acquiring a plurality of user information, and the user information comprises basic household attribute information, household power consumption information and household marketing data information;
the user classification unit is used for analyzing the user information to obtain feature labels for representing the user features, and performing clustering analysis according to the feature labels to obtain classification results of the users;
the weight calculation unit is used for calculating index values of a plurality of users for quantitatively describing the energy consumption situation of the users according to the user information, and calculating the index weight of each index by adopting an entropy weight method according to the index values of the users;
the energy efficiency score calculating unit is used for calculating the energy efficiency scores of the users according to the index values and the index weights of the users; and
and the energy consumption analysis unit is used for analyzing the energy consumption of the plurality of users according to the classification results and the energy efficiency scores of the plurality of users to obtain analysis results.
Preferably, the processor module for implementing the user energy consumption analysis further comprises: analyzing the time period and energy use condition: energy consumption data of different users in the same period are counted to form a report; comparing and analyzing the energy consumption situation of the equipment: counting energy consumption differences of equipment with the same brand and model under different user environments to form a report; in the statistical process, various brands and models of equipment of each user are registered according to an equipment feature library established in advance.
Preferably, each information acquisition device comprises a plurality of information collectors, a calculation and storage core and an information transmitter;
the plurality of information collectors are respectively deployed on the electric energy equipment, the hydraulic energy equipment and the gas energy equipment to collect corresponding energy consumption data; the method comprises the following steps that an electric energy meter based on electric energy equipment acquires electricity consumption, voltage, current and real-time power, a water meter based on hydroenergy equipment acquires water consumption, and a gas meter based on gas energy equipment acquires gas consumption;
the computing and storing core collects and stores the energy consumption data;
and the information transmitter transmits the processed energy consumption data stored in the calculation and storage core to the controller for data processing and analysis.
Preferably, the calculation and storage core comprises an instruction reader-writer, a data calculator and a data memory;
the instruction reader-writer reads original message data collected by the corresponding information collector and writes the original message data into the data storage;
the data calculator analyzes the original message data in the data storage, analyzes and classifies the original data of different specifications and different formats of electric energy meter manufacturers, water plant manufacturers and gas plant manufacturers, translates the original data into different energy consumption data representing electric energy, water energy and gas energy in a unified format, and writes the data into the data storage through the instruction reader-writer.
Preferably, the energy efficiency score calculation unit includes:
the first score calculating unit is used for scoring each index of the users by adopting a TOPSIS algorithm according to the index value of each index of the users to obtain each index score value;
and the second score calculating unit is used for calculating according to the index score values and the index weights of the multiple users to obtain the energy efficiency scores of the multiple users.
Further, the energy consumption analysis unit includes:
the sorting unit is used for sorting the energy efficiency scores of the users in different categories and selecting the user with the highest energy efficiency score in each category as an energy consumption analysis user;
and the analysis unit is used for comparing and analyzing the basic family attribute information of the different types of energy consumption analysis users, determining the energy consumption difference among the different types of users and generating an analysis result according to the energy consumption difference.
The invention provides a power utilization energy efficiency analysis method for a power consumer, which comprises the following steps:
step 1, the plurality of information acquisition devices are respectively deployed on a plurality of users and used for acquiring energy consumption data of each device of the corresponding user; the equipment is at least one of electric energy equipment, water energy equipment and gas energy equipment;
step 2, when the device is an electric energy device, the energy consumption data correspondingly comprises: electricity consumption, voltage, current, real-time power; when the equipment is hydraulic energy equipment, the energy consumption data correspondingly comprises the following steps: the amount of water used; when the device is a gas energy device, the energy consumption data correspondingly comprises: gas consumption;
and 3, the controller receives the energy consumption data of each device of each user and analyzes the energy consumption of the user.
The invention collects energy information such as parameters, voltage, current, electricity consumption, water consumption, gas consumption and the like of energy utilization equipment through an information collection device, stores related information into a user energy consumption analysis system, and performs user energy consumption comprehensive analysis and self-learning calibration of an equipment characteristic library in various modes such as single-user energy consumption condition analysis, equipment energy consumption analysis, multi-user energy consumption comparison and the like. The invention can provide comprehensive energy management measures for various facilities such as water, electricity, gas and heat of energy consumption units, optimize an operation scheme and provide technical means and scientific basis in the aspect of energy-saving transformation by centralized collection, real-time monitoring, grading diagnosis and sharing of each layer of energy equipment. Further, the method and the device are respectively used for processing and analyzing the household basic attribute information, the household energy consumption information and the household new energy information of the user to obtain the user characteristic labels, classifying according to the user characteristic labels, determining index weight according to the household energy consumption information and the household new energy information, calculating the energy efficiency score of the user according to the index and the index weight, and finally analyzing the electricity utilization efficiency of the household power user according to the category and the energy efficiency score of the user, wherein the analysis result can be used for measuring the household electricity utilization level, so that scientific basis is provided for guiding the reasonable electricity utilization of the user and conducting demand side management reasonable scheduling of a power company.
Drawings
FIG. 1 is a schematic structural diagram of an electric energy efficiency analysis system for power consumers according to the present invention;
fig. 2 is a flowchart of an electric energy efficiency analysis method for a power consumer according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.
As shown in fig. 1, the present invention provides an electric power consumer electricity energy efficiency analysis system including: the system comprises an information acquisition device, a wireless communication device and a controller; information acquisition device, wireless communication device connect controller respectively, the controller includes: the wireless communication device comprises a processor module, a wireless communication interface circuit, a power switch control circuit, a bus interface circuit and a power circuit, wherein the processor module is connected with the wireless communication interface circuit, the power switch control circuit and the bus interface circuit; the information acquisition devices are respectively deployed on a plurality of users and used for acquiring energy consumption data of each device of the corresponding user; the equipment is at least one of electric energy equipment, water energy equipment and gas energy equipment, and when the equipment is the electric energy equipment, the energy consumption data correspondingly comprises the following steps: electricity consumption, voltage, current, real-time power; when the equipment is hydraulic energy equipment, the energy consumption data correspondingly comprises the following steps: the amount of water used; when the device is a gas energy device, the energy consumption data correspondingly comprises: gas consumption; and the controller receives the energy consumption data of each device of each user and analyzes the energy consumption of the user.
Further, the processor module includes:
the system comprises an information acquisition unit, a service processing unit and a service processing unit, wherein the information acquisition unit is used for acquiring a plurality of user information, and the user information comprises basic household attribute information, household power consumption information and household marketing data information;
the user classification unit is used for analyzing the user information to obtain feature labels for representing the user features, and performing clustering analysis according to the feature labels to obtain classification results of the users;
the weight calculation unit is used for calculating index values of a plurality of users for quantitatively describing the energy consumption situation of the users according to the user information, and calculating the index weight of each index by adopting an entropy weight method according to the index values of the users;
the energy efficiency score calculating unit is used for calculating the energy efficiency scores of the users according to the index values and the index weights of the users; and
and the energy consumption analysis unit is used for analyzing the energy consumption of the plurality of users according to the classification results and the energy efficiency scores of the plurality of users to obtain analysis results.
Population is an important factor influencing electricity consumption, and generally, the more population, the more power consumption, if other conditions are not changed. The increase of the house area also affects the household power consumption, and generally, a larger house area needs more power consumption equipment such as lighting, air conditioners and the like, so that more power consumption is generated. The income is closely related to the electricity consumption of residents. The increase of income of everyone's family often makes people's demand to electric power service increase, for example the quantity of possession of washing machine and air conditioner increases, and high-power electrical apparatus increases, and uses frequently, and like this, the house power consumption will increase and will cause some unnecessary wastes, and Ziramba surveys south african resident's demand to electric power according to the linear log-log relation of the total value of everyone's production and electric power price in China. Empirical results indicate that revenue is a major factor in determining power demand. Therefore, the basis for classifying the family information user is selected in the embodiment. The family marketing data information comprises complaint records, default records, electricity stealing records, payment records and the like of family users.
Before the system is applied, a plurality of feature tags are preset, and of course, for any user, the user does not necessarily include all feature tags having preset features. The cluster analysis refers to an analysis process of grouping a set of physical or abstract objects into a plurality of classes composed of similar objects, and the plurality of users can be respectively divided into corresponding class sets through the cluster analysis according to feature labels of the plurality of users to realize classification, wherein a classification result is actually an obtained plurality of user sets, and each set represents a class.
The index value in this embodiment is specifically determined according to the index content, for example, for the index of the energy consumption and the usage time period of the electrical appliance, the index value may be set to the energy consumption power of the electrical appliance.
According to the explanation of the basic principle of information theory, information is a measure of the degree of system order, and entropy is a measure of the degree of system disorder; according to the definition of the information entropy, the degree of dispersion of a certain index can be judged by using the entropy value, the smaller the information entropy value is, the larger the degree of dispersion of the index is, the larger the influence (namely weight) of the index on the comprehensive evaluation is, and if the values of the certain index are all equal, the index does not play a role in the comprehensive evaluation. Therefore, the weight of each index (namely, an entropy weight method) can be calculated by using the information entropy, and a basis is provided for multi-index comprehensive evaluation.
The initial energy efficiency score may be determined according to each index value of the multiple users, and may specifically be calculated by using any scoring algorithm, in this embodiment, the method is not limited to a specific algorithm, and after the initial energy efficiency score of each index of the multiple users is calculated, the final energy efficiency scores of the multiple users may be calculated by combining the initial energy efficiency score and the weight corresponding to the initial energy efficiency score.
According to the energy consumption grading method and the energy consumption grading system, energy consumption differences among different classified users and among the same classified users can be determined through energy efficiency grading corresponding to the different classified users, and the energy consumption differences can be used for measuring the household power consumption level, so that scientific basis is provided for guiding the users to reasonably use power and carrying out demand side management reasonable scheduling of a power company. When analyzing the household energy consumption condition, a transverse comparison device and a longitudinal comparison device can be specifically adopted, and different household users in the same community or type are firstly compared under the condition of unifying energy efficiency indexes. Taking space as a coordinate, the precondition for comparing different study objects should be taken into account when performing the comparison, i.e. they must be homogeneous or of the same nature and must be in the same time interval.
Further, the processor module for implementing the user energy consumption analysis further comprises: analyzing the time period and energy use condition: energy consumption data of different users in the same period are counted to form a report; comparing and analyzing the energy consumption situation of the equipment: counting energy consumption differences of equipment with the same brand and model under different user environments to form a report; in the statistical process, various brands and models of equipment of each user are registered according to an equipment feature library established in advance.
Furthermore, each information acquisition device comprises a plurality of information collectors, a calculation and storage core and an information transmitter;
the plurality of information collectors are respectively deployed on the electric energy equipment, the hydraulic energy equipment and the gas energy equipment to collect corresponding energy consumption data; the method comprises the following steps that an electric energy meter based on electric energy equipment acquires electricity consumption, voltage, current and real-time power, a water meter based on hydroenergy equipment acquires water consumption, and a gas meter based on gas energy equipment acquires gas consumption;
the computing and storing core collects and stores the energy consumption data;
and the information transmitter transmits the processed energy consumption data stored in the calculation and storage core to the controller for data processing and analysis.
Further, the calculation and storage core comprises an instruction reader-writer, a data calculator and a data memory;
the instruction reader-writer reads original message data collected by the corresponding information collector and writes the original message data into the data storage;
the data calculator analyzes the original message data in the data storage, analyzes and classifies the original data of different specifications and different formats of electric energy meter manufacturers, water plant manufacturers and gas plant manufacturers, translates the original data into different energy consumption data representing electric energy, water energy and gas energy in a unified format, and writes the data into the data storage through the instruction reader-writer.
Further, the energy efficiency score calculation unit includes:
the first score calculating unit is used for scoring each index of the users by adopting a TOPSIS algorithm according to the index value of each index of the users to obtain each index score value;
and the second score calculating unit is used for calculating according to the index score values and the index weights of the multiple users to obtain the energy efficiency scores of the multiple users.
Further, the energy consumption analysis unit includes:
the sorting unit is used for sorting the energy efficiency scores of the users in different categories and selecting the user with the highest energy efficiency score in each category as an energy consumption analysis user;
and the analysis unit is used for comparing and analyzing the basic family attribute information of the different types of energy consumption analysis users, determining the energy consumption difference among the different types of users and generating an analysis result according to the energy consumption difference.
As shown in fig. 2, the present invention provides a power consumption energy efficiency analysis method for a power consumer, including the following steps:
step 1, the plurality of information acquisition devices are respectively deployed on a plurality of users and used for acquiring energy consumption data of each device of the corresponding user; the equipment is at least one of electric energy equipment, water energy equipment and gas energy equipment;
step 2, when the device is an electric energy device, the energy consumption data correspondingly comprises: electricity consumption, voltage, current, real-time power; when the equipment is hydraulic energy equipment, the energy consumption data correspondingly comprises the following steps: the amount of water used; when the device is a gas energy device, the energy consumption data correspondingly comprises: gas consumption;
and 3, the controller receives the energy consumption data of each device of each user and analyzes the energy consumption of the user.
The invention collects energy information such as parameters, voltage, current, electricity consumption, water consumption, gas consumption and the like of energy utilization equipment through an information collection device, stores related information into a user energy consumption analysis system, and performs user energy consumption comprehensive analysis and self-learning calibration of an equipment characteristic library in various modes such as single-user energy consumption condition analysis, equipment energy consumption analysis, multi-user energy consumption comparison and the like. The invention can provide comprehensive energy management measures for various facilities such as water, electricity, gas and heat of energy consumption units, optimize an operation scheme and provide technical means and scientific basis in the aspect of energy-saving transformation by centralized collection, real-time monitoring, grading diagnosis and sharing of each layer of energy equipment. Further, the method and the device are respectively used for processing and analyzing the household basic attribute information, the household energy consumption information and the household new energy information of the user to obtain the user characteristic labels, classifying according to the user characteristic labels, determining index weight according to the household energy consumption information and the household new energy information, calculating the energy efficiency score of the user according to the index and the index weight, and finally analyzing the electricity utilization efficiency of the household power user according to the category and the energy efficiency score of the user, wherein the analysis result can be used for measuring the household electricity utilization level, so that scientific basis is provided for guiding the reasonable electricity utilization of the user and conducting demand side management reasonable scheduling of a power company.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed by a computer, cause the computer to perform, in whole or in part, the procedures or functions described in accordance with the embodiments of the application. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable medium or transmitted from one computer readable medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, and the program may be stored in a computer-readable medium, where the storage medium is a non-transitory medium, such as a random access memory, a read only memory, a flash memory, a hard disk, a solid state disk, a magnetic tape (magnetic tape), a floppy disk (floppy disk), an optical disk (optical disk) and any combination thereof.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (7)
1. An electric energy consumption efficiency analysis system for an electric power consumer, comprising: the system comprises an information acquisition device, a wireless communication device and a controller; information acquisition device, wireless communication device connect controller respectively, the controller includes: the wireless communication system comprises a processor module, a wireless communication interface circuit, a power switch control circuit, a bus interface circuit and a power circuit, wherein the processor module is connected with the wireless communication interface circuit, the power switch control circuit and the bus interface circuit; the equipment is at least one of electric energy equipment, water energy equipment and gas energy equipment, and when the equipment is the electric energy equipment, the energy consumption data correspondingly comprises the following steps: electricity consumption, voltage, current, real-time power; when the equipment is hydraulic energy equipment, the energy consumption data correspondingly comprises the following steps: the amount of water used; when the device is a gas energy device, the energy consumption data correspondingly comprises: gas consumption; and the controller receives the energy consumption data of each device of each user and analyzes the energy consumption of the user.
2. The electric utility grid energy efficiency analysis system of claim 1, wherein the processor module comprises:
the system comprises an information acquisition unit, a service processing unit and a service processing unit, wherein the information acquisition unit is used for acquiring a plurality of user information, and the user information comprises basic household attribute information, household power consumption information and household marketing data information;
the user classification unit is used for analyzing the user information to obtain feature labels for representing the user features, and performing clustering analysis according to the feature labels to obtain classification results of the users;
the weight calculation unit is used for calculating index values of a plurality of users for quantitatively describing the energy consumption situation of the users according to the user information, and calculating the index weight of each index by adopting an entropy weight method according to the index values of the users;
the energy efficiency score calculating unit is used for calculating the energy efficiency scores of the users according to the index values and the index weights of the users; and
and the energy consumption analysis unit is used for analyzing the energy consumption of the plurality of users according to the classification results and the energy efficiency scores of the plurality of users to obtain analysis results.
3. The electric power consumer electric energy efficiency analysis system of claim 1, wherein the processor module implementing consumer energy consumption analysis further comprises: analyzing the time period and energy use condition: energy consumption data of different users in the same period are counted to form a report; comparing and analyzing the energy consumption situation of the equipment: counting energy consumption differences of equipment with the same brand and model under different user environments to form a report; in the statistical process, various brands and models of equipment of each user are registered according to an equipment feature library established in advance.
4. The electric energy consumption efficiency analysis system for the electric power consumers as claimed in claim 1, wherein each information acquisition device comprises a plurality of information collectors, a calculation and storage core and an information transmitter;
the plurality of information collectors are respectively deployed on the electric energy equipment, the hydraulic energy equipment and the gas energy equipment to collect corresponding energy consumption data; the method comprises the following steps that an electric energy meter based on electric energy equipment acquires electricity consumption, voltage, current and real-time power, a water meter based on hydroenergy equipment acquires water consumption, and a gas meter based on gas energy equipment acquires gas consumption;
the computing and storing core collects and stores the energy consumption data;
and the information transmitter transmits the processed energy consumption data stored in the calculation and storage core to the controller for data processing and analysis.
5. The electric energy consumption efficiency analysis system for electric consumers according to claim 4, wherein the calculation and storage core comprises an instruction reader-writer, a data calculator and a data memory;
the instruction reader-writer reads original message data collected by the corresponding information collector and writes the original message data into the data storage;
the data calculator analyzes the original message data in the data storage, analyzes and classifies the original data of different specifications and different formats of electric energy meter manufacturers, water plant manufacturers and gas plant manufacturers, translates the original data into different energy consumption data representing electric energy, water energy and gas energy in a unified format, and writes the data into the data storage through the instruction reader-writer.
6. The electricity consumption energy efficiency analysis system for power consumers according to claim 2, wherein the energy efficiency score calculation unit comprises:
the first score calculating unit is used for scoring each index of the users by adopting a TOPSIS algorithm according to the index value of each index of the users to obtain each index score value;
and the second score calculating unit is used for calculating according to the index score values and the index weights of the multiple users to obtain the energy efficiency scores of the multiple users.
Further, the energy consumption analysis unit includes:
the sorting unit is used for sorting the energy efficiency scores of the users in different categories and selecting the user with the highest energy efficiency score in each category as an energy consumption analysis user;
and the analysis unit is used for comparing and analyzing the basic family attribute information of the different types of energy consumption analysis users, determining the energy consumption difference among the different types of users and generating an analysis result according to the energy consumption difference.
7. A power utilization energy efficiency analysis method for a power consumer is characterized by comprising the following steps:
step 1, the plurality of information acquisition devices are respectively deployed on a plurality of users and used for acquiring energy consumption data of each device of the corresponding user; the equipment is at least one of electric energy equipment, water energy equipment and gas energy equipment;
step 2, when the device is an electric energy device, the energy consumption data correspondingly comprises: electricity consumption, voltage, current, real-time power; when the equipment is hydraulic energy equipment, the energy consumption data correspondingly comprises the following steps: the amount of water used; when the device is a gas energy device, the energy consumption data correspondingly comprises: gas consumption;
and 3, the controller receives the energy consumption data of each device of each user and analyzes the energy consumption of the user.
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