CN-121810077-B - Intelligent management method and system for low-carbon building material building energy consumption

CN121810077BCN 121810077 BCN121810077 BCN 121810077BCN-121810077-B

Abstract

The invention discloses an intelligent management method and system for low-carbon building material building energy consumption, and relates to the technical field of building management, wherein the method comprises the steps of obtaining building member attribute information, wherein the building member attribute information comprises a unique identifier, a material type, a geometric dimension and a position; selecting a maintenance strategy from a maintenance strategy library as a candidate maintenance strategy according to the building element attribute information, carrying out economic evaluation on the candidate maintenance strategy to obtain an economic evaluation result, taking the maintenance strategy with highest economical efficiency in the maintenance strategy library as a target maintenance strategy according to the economic evaluation result, and generating a maintenance suggestion according to the target maintenance strategy, the building element attribute information and the economic evaluation result. The invention can combine the attribute information of the building components and the economic evaluation to generate the maintenance suggestion so as to realize the management of building energy consumption and improve the accuracy and the reliability.

Inventors

CHEN XUEFEI
ZHANG XIUCHENG
LI SHENGCAI
HUANG WENJIN

Assignees

莆田学院

Dates

Publication Date: 20260512
Application Date: 20260306

Claims (7)

1. The intelligent management method for the energy consumption of the low-carbon building material building is characterized by comprising the following steps of: acquiring building element attribute information, wherein the building element attribute information comprises a unique identifier, a material type, a geometric dimension and a position; selecting a maintenance strategy from a maintenance strategy library as a candidate maintenance strategy according to the building component attribute information; carrying out economic evaluation on the candidate maintenance strategies to obtain an economic evaluation result; According to the economic evaluation result, taking the maintenance strategy with highest economic efficiency in the maintenance strategy library as a target maintenance strategy; Generating a maintenance suggestion according to the target maintenance strategy, the building element attribute information and the economic evaluation result; the step of performing the economic evaluation on the candidate maintenance strategy to obtain an economic evaluation result includes: Calculating the predicted cost of the candidate maintenance strategy according to a cost database; Performing energy consumption simulation on the candidate maintenance strategy, and calculating energy-saving benefits; according to the estimated cost and the energy-saving benefit, carrying out economic evaluation on the candidate maintenance strategy to obtain an economic evaluation result; the energy consumption simulation is carried out on the candidate maintenance strategy, and the energy saving benefit is calculated, including: Acquiring current building member state data, current environment data and historical meteorological data; constructing a thermal response mapping relation; According to the thermal response mapping relation, mapping the current building element state data and the current environment data into target thermal response parameters; according to the target thermal response parameters, the historical meteorological data and the indoor environment set values, performing energy consumption simulation on the candidate maintenance strategies to obtain building energy consumption before maintenance and building energy consumption after maintenance; calculating the energy-saving benefit according to the building energy consumption before maintenance and the building energy consumption after maintenance; The construction of the thermal response mapping relation comprises the following steps: acquiring historical building component state data and historical environment data, wherein the historical building component state data comprises component internal temperature data, component surface temperature data and component heat flow data, and the historical environment data comprises external temperature, external humidity, external air pressure, external air speed and illumination intensity; identifying environmental change events according to the historical environmental data, wherein the environmental change events comprise sudden drop of air temperature, long-time high humidity or strong sunlight; Identifying component thermal response parameters from the environmental change event, the component thermal response parameters including a surface temperature change rate, a heat flow change magnitude, a thermal resistance, and a heat transfer coefficient; and constructing the thermal response mapping relation by utilizing a nonlinear regression analysis method according to the historical building component state data, the historical environment data and the component thermal response parameters.
2. The method of claim 1, wherein after constructing the thermal response map, the method further comprises: acquiring historical component microstructure data, current component microstructure data, historical moisture aggregation data and current moisture aggregation data; Evaluating a component microstructure improvement degree according to the historical component microstructure data and the current component microstructure data; Evaluating the moisture aggregation improvement degree according to the historical moisture aggregation data and the current moisture aggregation data; And adjusting the thermal response mapping relation according to the structural member microstructure improvement degree and the moisture aggregation improvement degree.
3. The method according to claim 1, wherein the performing an economic evaluation on the candidate maintenance strategy according to the predicted cost and the energy-saving benefit, to obtain the economic evaluation result, includes: Acquiring building material market price data; Predicting price fluctuation range and price probability distribution according to the building material market price data; Updating the projected cost based on the price fluctuation range and the price probability distribution; Identifying resource competition relations among different maintenance strategies in the maintenance strategy library; identifying repair effect associations between different maintenance strategies in the maintenance strategy library; and carrying out economic evaluation on the candidate maintenance strategy according to the resource competition relationship, the restoration effect association, the energy-saving benefit and the updated predicted cost to obtain an economic evaluation result.
4. A method according to claim 3, wherein said identifying repair effect associations between different maintenance policies in the maintenance policy repository comprises: Acquiring the physical proximity relation and the material property of adjacent building components; evaluating the performance impact of each maintenance strategy on the adjacent building element according to the physical proximity relation and the material properties; Determining the strength of the repairing effect and the influence range of the repairing effect according to the performance influence; And constructing the restoration effect association according to the physical proximity relation, the material attribute, the restoration effect strength and the restoration effect influence range.
5. A method according to claim 3, wherein said identifying resource competition relationships between different maintenance policies in the maintenance policy repository comprises: acquiring the types and the quantity of the resource demands corresponding to different maintenance strategies; Monitoring the real-time resource availability in the maintenance resource pool; setting a resource demand floating interval; Judging whether resource demand overlap exists between different maintenance strategies according to the resource demand type; If the resource demands overlap among different maintenance strategies, adjusting the resource allocation sequence according to the resource demand quantity, the real-time resource available quantity, the resource demand floating interval and the maintenance strategy priority sequence; and constructing the resource competition relationship according to the resource demand type, the resource demand quantity and the resource allocation sequence.
6. The method of claim 5, wherein the setting the resource demand float interval comprises: Acquiring historical maintenance data; extracting resource consumption fluctuation range of the same type of resources from the historical maintenance data; And setting the resource demand floating interval according to the resource consumption fluctuation range.
7. An intelligent management system for low-carbon building material building energy consumption is characterized by comprising: The information acquisition module is used for acquiring building element attribute information, wherein the building element attribute information comprises a unique identifier, a material type, a geometric dimension and a position; the candidate maintenance strategy selection module is used for selecting a maintenance strategy from a maintenance strategy library as a candidate maintenance strategy according to the attribute information of the building component; the economic evaluation module is used for carrying out economic evaluation on the candidate maintenance strategies to obtain economic evaluation results; The target maintenance strategy determining module is used for taking the maintenance strategy with highest economy in the maintenance strategy library as a target maintenance strategy according to the economy evaluation result; the maintenance suggestion generation module is used for generating maintenance suggestions according to the target maintenance strategy, the building element attribute information and the economic evaluation result; the step of performing the economic evaluation on the candidate maintenance strategy to obtain an economic evaluation result includes: Calculating the predicted cost of the candidate maintenance strategy according to a cost database; Performing energy consumption simulation on the candidate maintenance strategy, and calculating energy-saving benefits; according to the estimated cost and the energy-saving benefit, carrying out economic evaluation on the candidate maintenance strategy to obtain an economic evaluation result; the energy consumption simulation is carried out on the candidate maintenance strategy, and the energy saving benefit is calculated, including: Acquiring current building member state data, current environment data and historical meteorological data; constructing a thermal response mapping relation; According to the thermal response mapping relation, mapping the current building element state data and the current environment data into target thermal response parameters; according to the target thermal response parameters, the historical meteorological data and the indoor environment set values, performing energy consumption simulation on the candidate maintenance strategies to obtain building energy consumption before maintenance and building energy consumption after maintenance; calculating the energy-saving benefit according to the building energy consumption before maintenance and the building energy consumption after maintenance; The construction of the thermal response mapping relation comprises the following steps: acquiring historical building component state data and historical environment data, wherein the historical building component state data comprises component internal temperature data, component surface temperature data and component heat flow data, and the historical environment data comprises external temperature, external humidity, external air pressure, external air speed and illumination intensity; identifying environmental change events according to the historical environmental data, wherein the environmental change events comprise sudden drop of air temperature, long-time high humidity or strong sunlight; Identifying component thermal response parameters from the environmental change event, the component thermal response parameters including a surface temperature change rate, a heat flow change magnitude, a thermal resistance, and a heat transfer coefficient; and constructing the thermal response mapping relation by utilizing a nonlinear regression analysis method according to the historical building component state data, the historical environment data and the component thermal response parameters.

Description

Intelligent management method and system for low-carbon building material building energy consumption Technical Field The invention relates to the technical field of building management, in particular to an intelligent management method and system for low-carbon building material building energy consumption. Background In modern building management, in order to achieve the aim of low-carbon operation in the whole life cycle of a building, particularly in a building widely adopting low-carbon building materials, it is important to perform fine and intelligent management on building energy consumption. The existing system evaluates the actual energy-saving effect of the building material and optimizes the operation strategy of the building by integrating building material attribute and structure information provided by a Building Information Model (BIM) and data collected by real-time energy consumption monitoring equipment distributed throughout the building. However, in the long-term running process of a building, natural attenuation of building material performance is an unavoidable problem, so that an energy consumption prediction model established based on ideal design parameters in the existing system gradually deviates from the actual physical state of the building, and further the accuracy of system decision is affected, and the energy consumption management accuracy and reliability are low. In summary, the technical problems in the related art are to be improved. Disclosure of Invention The embodiment of the invention mainly aims to provide a low-carbon building material building energy consumption intelligent management method and system, which can be used for generating maintenance suggestions by combining building member attribute information and economic evaluation so as to realize building energy consumption management and improve accuracy and reliability. On one hand, the embodiment of the invention provides an intelligent management method for low-carbon building material building energy consumption, which comprises the following steps: acquiring building element attribute information, wherein the building element attribute information comprises a unique identifier, a material type, a geometric dimension and a position; selecting a maintenance strategy from a maintenance strategy library as a candidate maintenance strategy according to the building component attribute information; carrying out economic evaluation on the candidate maintenance strategies to obtain an economic evaluation result; According to the economic evaluation result, taking the maintenance strategy with highest economic efficiency in the maintenance strategy library as a target maintenance strategy; and generating maintenance suggestions according to the target maintenance strategy, the building element attribute information and the economic evaluation result. In some embodiments, the performing the economic evaluation on the candidate maintenance policy to obtain an economic evaluation result includes: Calculating the predicted cost of the candidate maintenance strategy according to a cost database; Performing energy consumption simulation on the candidate maintenance strategy, and calculating energy-saving benefits; And carrying out economic evaluation on the candidate maintenance strategy according to the predicted cost and the energy-saving benefit to obtain an economic evaluation result. In some embodiments, the performing energy consumption simulation on the candidate maintenance strategy, calculating energy saving benefits includes: Acquiring current building member state data, current environment data and historical meteorological data; constructing a thermal response mapping relation; According to the thermal response mapping relation, mapping the current building element state data and the current environment data into target thermal response parameters; according to the target thermal response parameters, the historical meteorological data and the indoor environment set values, performing energy consumption simulation on the candidate maintenance strategies to obtain building energy consumption before maintenance and building energy consumption after maintenance; And calculating the energy-saving benefit according to the building energy consumption before maintenance and the building energy consumption after maintenance. In some embodiments, the building a thermal response mapping relationship includes: acquiring historical building component state data and historical environment data, wherein the historical building component state data comprises component internal temperature data, component surface temperature data and component heat flow data, and the historical environment data comprises external temperature, external humidity, external air pressure, external air speed and illumination intensity; identifying environmental change events according to the historical environmental data, wherein the environmental