A system and method for monitoring the energy-saving effect of residential buildings based on big data
A building energy-saving and effect monitoring technology, applied in control/regulation systems, data processing applications, general control systems, etc., can solve the problems of cumbersome monitoring, heavy workload, and monitoring building energy-saving work, and achieve energy-saving effects. High work efficiency, accurate energy saving monitoring effect
Inactive Publication Date: 2021-07-30
CHONGQING REAL ESTATE COLLEGE
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Problems solved by technology
[0003] To sum up, the problems existing in the existing technology are: the existing energy-saving effect monitoring of large buildings is generally independent of the whole building, the monitoring is cumbersome and cannot monitor the energy-saving work of buildings at the overall level, and the workload is heavy
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[0045] In order to further understand the invention content, features and effects of the present invention, the following examples are exemplified, and detailed descriptions are as follows in conjunction with the accompanying drawings.
[0046] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0047] Such as figure 1 As shown, the residential building energy-saving effect monitoring system based on big data provided by the embodiment of the present invention includes:
[0048]Residential building energy consumption equipment type statistics module 1, main control module 7, residential building energy consumption calculation module 2, building energy saving rate module 3, theoretical energy consumption value and actual energy consumption reduction rate comparison module 4, energy saving rate Statistical module 5 for buildings that do not meet standards, and targeted energy-saving renovation module 6.
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The invention belongs to the technical field of energy-saving monitoring, and discloses a system and method for monitoring the energy-saving effect of residential buildings based on big data; including: collecting energy consumption information of various types of buildings; The range of energy consumption of various types of buildings; count the energy saving difference between the building energy-saving renovation and before the renovation, and calculate the ratio to the total energy consumption; compare the theoretical value with the actual energy consumption reduction rate, and select according to the difference Conduct detection and analysis of certain buildings; define buildings with large differences as non-standard buildings, conduct energy-saving investigations and formulate improvement strategies; carry out targeted energy-saving renovations for non-standard buildings. The method of the invention performs big data statistics on energy consumption of residential buildings, and performs targeted energy-saving monitoring and energy-saving renovation on the basis of big data statistics, with high work efficiency and accurate energy-saving monitoring.
Description
technical field [0001] The invention belongs to the technical field of energy-saving monitoring, and in particular relates to a system and method for monitoring energy-saving effects of residential buildings based on big data. Background technique [0002] Nowadays, there are various energy-saving methods for large buildings, and the effect is good, but in some buildings, a lot of resources will still be wasted. Therefore, it is particularly important to detect the effect of buildings in the energy-saving process. [0003] To sum up, the problems existing in the existing technology are: the existing large-scale building energy-saving effect monitoring is generally independent of the entire building, the monitoring is cumbersome and cannot monitor the energy-saving work of the building as a whole, and the workload is heavy. Contents of the invention [0004] Aiming at the problems existing in the prior art, the present invention provides a system and method for monitoring t...
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IPC IPC(8): G05B19/042G06Q50/08
Inventor 彭丽莉李益杜异卉
Owner CHONGQING REAL ESTATE COLLEGE