Public building energy-saving management system

Abstract

The invention provides a public building energy-saving management system, which is composed of a measurement and control local subsystem and an energy management system cloud platform, and is characterized in that the measurement and control local subsystem comprises a sensing module and an acquisition module; wherein the sensing module is installed in each building and is composed of each level of electric energy metering unit and a measuring unit; the acquisition module is used for transmitting information of the measuring unit and the metering unit to an energy management system cloud platform through a public network communication system, and relates to the technical field of energy consumption management systems, the system adopts the Internet of Things technology, realizes intelligent control and monitoring of building equipment, utilizes big data analysis, optimizes energy management and improves energy efficiency, and the energy consumption management efficiency is improved. The cloud computing technology is adopted, real-time processing and storage of building data are achieved, building energy consumption, energy utilization and environment influence related data are collected, real-time monitoring, transmission, analysis and model building functions are provided, energy utilization and maintenance management are optimized, energy consumption is effectively saved, and environment influence is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of energy consumption management systems, and in particular to a public building energy-saving management system. Background Art

[0002] Building energy consumption refers to the energy consumption of civil buildings, including residential buildings, public buildings and service industries, during their use, mainly including energy consumption in heating, air conditioning, ventilation, hot water supply, lighting, cooking, household appliances, office equipment, elevators, etc.

[0003] There are two ways to define building energy consumption: in a broad sense, building energy consumption refers to the energy consumption of the entire process from building material manufacturing, building construction, to building use; in a narrow sense, building energy consumption, that is, the operating energy consumption of the building, is people's daily energy consumption, such as heating, air conditioning, lighting, cooking, laundry, etc. It is the dominant part of building energy consumption. With the growth of economic income and the improvement of quality of life, the focus of building consumption will shift from hardware consumption to software consumption. Therefore, the energy consumption required to ensure indoor air quality, such as air conditioning, ventilation, heating, and hot water supply will increase rapidly. In the process of rapid increase in demand, energy waste will occur due to inadequate system management, slow data collection, and analysis errors. Therefore, it is urgent to set up a public building energy-saving management system to publish energy consumption usage status and energy-saving measures, so as to achieve the policy of energy conservation and emission reduction. Summary of the invention

[0004] In order to overcome the existing problems, the embodiment of the present application provides a public building energy-saving management system. The system is used to promote energy conservation, emission reduction and sustainable development in the construction industry through data collection, analysis and monitoring management. The system adopts Internet of Things technology to realize intelligent control and monitoring of building equipment, uses big data analysis to optimize energy management and improve energy efficiency, and adopts cloud computing technology to realize real-time processing and storage of building data. It will collect data related to building energy consumption, energy utilization and environmental impact, and provide real-time monitoring, transmission, analysis and modeling functions to optimize energy use and maintenance management, effectively save energy consumption and reduce environmental impact.

[0005] The technical solution adopted by the embodiment of the present application to solve the technical problem is:

[0006] A public building energy-saving management system, the public building energy-saving management system is composed of a local measurement and control subsystem and an energy management system cloud platform, the local measurement and control subsystem includes a perception module and a collection module;

[0007] The sensing module is installed in each building and consists of various levels of power metering units and measurement units;

[0008] The acquisition module is used to transmit the information of the measuring unit and the metering unit to the energy management system cloud platform through the public network communication system.

[0009] Preferably, the energy management system cloud platform includes a network module, an application module, a data module and a model building module;

[0010] Wherein, the network module is used to transmit the data of the perception module through the Internet of Things technology;

[0011] The application module is used to realize energy-saving control and management through big data analysis and processing of collected data;

[0012] The data module is used to store and analyze historical energy consumption data, and to achieve real-time processing and storage of building data through cloud computing technology, thus providing a basis for energy-saving optimization;

[0013] The model building module is used to build a comparison model based on historical data and optimization data to ensure reasonable energy optimization.

[0014] Preferably, the perception module is used to collect building energy consumption and environmental information through various sensors.

[0015] Preferably, the acquisition module is connected to the metering unit and the measuring unit by RS-, Modbus bus.

[0016] The advantages of the embodiments of the present application are:

[0017] This system is used to promote energy conservation, emission reduction and sustainable development in the construction industry through data collection, analysis and monitoring management. The system adopts Internet of Things technology to realize intelligent control and monitoring of building equipment, uses big data analysis to optimize energy management and improve energy efficiency, and adopts cloud computing technology to realize real-time processing and storage of building data. It will collect data related to building energy consumption, energy utilization and environmental impact, and provide real-time monitoring, transmission, analysis and modeling functions to optimize energy use and maintenance management, effectively save energy consumption and reduce environmental impact. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of the public building energy-saving management system of the present invention;

[0019] Figure 2 It is a schematic diagram of the energy management system cloud platform flow in the public building energy-saving management system of the present invention.

[0020] Description of main reference numerals:

[0021] 1. Measurement and control of local subsystem; 2. Energy management system cloud platform; 3. Perception module; 4. Collection module; 5. Network module; 6. Application module; 7. Data module; 8. Model building module. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 in 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. In addition, for the convenience of description below, the referenced "upper", "lower", "left", and "right" are the same as the upper, lower, left, and right directions of the drawings themselves. The "first", "second", etc. below are distinguished for the description and have no other special meanings.

[0023] The embodiment of the present application solves the problems in the prior art by providing a public building energy-saving management system. The system is used to promote energy conservation, emission reduction and sustainable development in the construction industry through data collection, analysis and monitoring management. The system adopts Internet of Things technology to realize intelligent control and monitoring of building equipment, uses big data analysis to optimize energy management and improve energy efficiency, and adopts cloud computing technology to realize real-time processing and storage of building data. It will collect data related to building energy consumption, energy utilization and environmental impact, and provide real-time monitoring, transmission, analysis and modeling functions to optimize energy use and maintenance management, effectively save energy consumption and reduce environmental impact.

[0024] The technical solution in the embodiment of the present application is to solve the above problems, and the overall idea is as follows:

[0025] Example

[0026] This embodiment provides a public building energy-saving management system, such as Figure 1-2 As shown, the public building energy-saving management system is composed of a local measurement and control subsystem 1 and an energy management system cloud platform 2. The local measurement and control subsystem 1 includes a sensing module 3 and a collection module 4;

[0027] Among them, the sensing module 3 is installed in each building and consists of various levels of power metering units and measurement units;

[0028] The acquisition module 4 is used to transmit the information of the measuring unit and the metering unit to the energy management system cloud platform 2 through the public network communication system.

[0029] The energy management system cloud platform 2 includes a network module 5, an application module 6, a data module 7 and a model building module 8;

[0030] Wherein, the network module 5 is used to transmit the data of the sensing module 3 through the Internet of Things technology;

[0031] The application module 6 is used to analyze and process the collected data through big data to achieve energy-saving control and management;

[0032] Data module 7 is used to store and analyze historical energy consumption data, and to achieve real-time processing and storage of building data through cloud computing technology, providing a basis for energy-saving optimization;

[0033] The model building module 8 is used to build a comparison model based on historical data and optimization data to ensure reasonable energy optimization.

[0034] The sensing module 3 is used to collect building energy consumption and environmental information through various sensors.

[0035] The acquisition module 4 is connected with the metering unit and the measuring unit by RS-485 and modbus bus.

[0036] Among them, the equipment objects, parameters and frequencies mainly collected by the collection module 4 are as follows:

[0037] Cold source: The parameters that need to be collected include chilled water supply temperature, chilled water return temperature, chilled water flow, water collector inlet water temperature, compressor voltage, current, power, and direct-fired engine fuel consumption. The collection frequency is once per hour, and the data is used for cold source operating efficiency, operating status and energy consumption analysis.

[0038] Heat source: The parameters that need to be collected are fuel consumption and water replenishment. The collection frequency is once per hour. The data is used for heat source operating efficiency, operating status and energy consumption analysis.

[0039] Cooling tower: The parameters that need to be collected include cooling water inlet temperature, cooling water outlet temperature, cooling water flow rate, number of cooling tower fans on, cooling tower fan speed, and fan voltage, current, and power. The collection frequency is once per hour. The data is used for cooling tower operating efficiency, cold source operating status, and cold source energy consumption analysis.

[0040] Primary return air unit: The parameters that need to be collected include mixing valve opening, return air temperature, inlet air temperature, fan operating hours, fan current, return air humidity, fan voltage, current, and power. The collection frequency is once a day. The data is used for fan efficiency, filter blockage degree, air conditioning box operating efficiency, and air conditioning box energy consumption analysis.

[0041] Fresh air unit: The parameters that need to be collected include exhaust air temperature, fresh air temperature, fresh air humidity, fan operating hours, fan current, voltage, and power. The collection frequency is once per hour. The data will be used for fan efficiency, fresh air system operating efficiency, and fresh air system energy consumption analysis.

[0042] Fan coil unit: The parameters that need to be collected include water supply pipe temperature, return pipe temperature, air inlet temperature, air outlet temperature, humidity, fan coil unit circuit voltage, current, and power. The collection frequency is once per hour, and the data is used for terminal energy consumption and terminal energy efficiency analysis.

[0043] Refrigeration pumps, cooling pumps, heating pumps: The parameters that need to be collected include water pump operating hours, water pump voltage, current, and power. The collection frequency is once per hour, and the data is used for energy consumption analysis of the distribution system.

[0044] Lighting: The parameters that need to be collected include the total lighting circuit voltage, current, power, partitioned and layered lighting circuit voltage, current, power, and itemized lighting circuit voltage, current, power. The collection frequency is once per hour, and the data is used for energy consumption analysis of the lighting system.

[0045] Elevator: The parameters that need to be collected include motor operating voltage, current, power, and motor temperature. The collection frequency is once per hour, and the data is used for elevator operation analysis.

[0046] Transformer: The parameters that need to be collected are voltage, current, power and temperature. The collection frequency is once per hour, and the data is used for transformer load condition analysis.

[0047] Water boiler: The parameters that need to be collected are voltage, current, and power. The collection frequency is once per hour, and the data is used for power consumption analysis of the water boiler.

[0048] Office equipment: The parameters that need to be collected are circuit voltage, current, and power. The collection frequency is once per hour, and the data is used for power consumption statistics of office equipment.

[0049] Environmental parameters: The parameters that need to be collected are indoor and outdoor temperature, humidity, and illumination, and the collection frequency is once per hour.

[0050] Finally, it should be noted that: Obviously, the above embodiments are only examples for clearly explaining the present invention, and are not intended to limit the implementation methods. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from this are still within the scope of protection of the present invention.

Claims

1. A public building energy-saving management system, characterized in that: The public building energy-saving management system is composed of a local measurement and control subsystem (1) and an energy management system cloud platform (2), wherein the local measurement and control subsystem (1) includes a sensing module (3) and a collection module (4); The sensing module (3) is installed in each building and is composed of various levels of electric energy metering units and measurement units; The acquisition module (4) is used to transmit the information of the measuring unit and the metering unit to the energy management system cloud platform (2) via a public network communication system.

2. A public building energy-saving management system as claimed in claim 1, characterized in that: The energy management system cloud platform (2) comprises a network module (5), an application module (6), a data module (7) and a model building module (8); Wherein, the network module (5) is used to transmit data of the sensing module (3) through Internet of Things technology; The application module (6) is used to implement energy-saving control and management by analyzing and processing the collected data through big data; The data module (7) is used to store and analyze historical energy consumption data, and to achieve real-time processing and storage of building data through cloud computing technology, thereby providing a basis for energy-saving optimization; The model building module (8) is used to build a comparison model based on historical data and optimization data to ensure that energy optimization is reasonable.

3. A public building energy-saving management system as claimed in claim 1, characterized in that: The perception module (3) is used to collect building energy consumption and environmental information through various sensors.

4. A public building energy-saving management system as claimed in claim 1, characterized in that: The acquisition module (4) is connected to the metering unit and the measuring unit by using RS-485 and modbus buses.

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