Intelligent building management system and method based on big data

Abstract

The invention discloses an intelligent building management system and method based on big data, and relates to the technical field of big data analysis and application. Comprising the steps of 1, collecting data from various sensors and controller equipment in a building in real time, 2, preprocessing the collected data by adopting a big data processing method, carrying out deep analysis on the preprocessed data by applying a machine learning algorithm, mining hidden rules and trends behind the data, obtaining an analysis result, and carrying out real-time analysis on the data according to the hidden rules and trends. The method comprises the steps of (1) analyzing data and providing a decision basis for intelligent control through an analysis result, (2) automatically adjusting the operation state of each device in a building according to the analysis result of the data, and (4) allowing a user to check real-time data, historical records and analysis reports through a front-end operation interface, supporting the user to customize a management strategy, and meeting individual requirements in different scenes.

Description

Technical Field

[0001] The present invention discloses an intelligent building management system and method based on big data, which relates to the technical field of big data analysis applications. Background Art

[0002] Most of the intelligent building management systems on the current market focus on the automation control of single functions, such as lighting, security, air conditioning, etc., lacking a unified data integration and intelligent analysis platform. These systems often have the phenomenon of data islands, making it difficult to achieve cross-system collaborative management and optimization. In addition, when facing the complex and changeable building operation environment, the existing systems often lack sufficient flexibility and adaptability, and it is difficult to adjust management strategies in a timely manner to meet actual needs. Summary of the Invention

[0003] Aiming at the problems of the existing technology, the present invention provides an intelligent building management system and method based on big data, which realizes the efficient and intelligent management of various facilities in the building by integrating big data analysis and processing technologies.

[0004] The specific solution proposed by the present invention is as follows:

[0005] The present invention provides an intelligent building management method based on big data, including:

[0006] Step 1: Real-time collect data from various sensors and controller devices in the building,

[0007] Step 2: Adopt big data processing methods to preprocess the collected data, and use machine learning algorithms to deeply analyze the preprocessed data, mine the hidden laws and trends behind the data, obtain analysis results, and provide decision-making basis for intelligent control through the analysis results.

[0008] Step 3: Automatically adjust the operating states of various devices in the building according to the analysis results of the data.

[0009] Step 4: Through the front-end operation interface, allow users to view real-time data, historical records, and analysis reports, and support users to customize management strategies to meet personalized needs in different scenarios.

[0010] Further, in step 1 of the intelligent building management method based on big data, it specifically includes:

[0011] Collect environmental parameters from temperature sensors, humidity sensors, and light intensity sensors in the building, and collect energy consumption data and security monitoring information from controller devices.

[0012] Further, the preprocessing of the collected data in step 2 of the intelligent building management method based on big data includes cleaning, integrating, and storing the collected data.

[0013] Among them, cleaning the collected data includes:

[0014] Deleting duplicate data: checking whether there are duplicate data records in the dataset and performing deduplication processing.

[0015] Handling missing values: checking whether there are missing values in the dataset and using deletion, filling, or interpolation methods to estimate the missing values.

[0016] Handling outliers: identifying and handling outliers in the dataset.

[0017] Performing format and type conversion: converting the data into a unified format and type.

[0018] Furthermore, in step 3 of the method for managing a smart building based on big data, automatically adjusting the operating states of various devices in the building includes: automatically adjusting the air conditioning temperature, optimizing the lighting layout, and giving early warnings about potential safety hazards.

[0019] The present invention also provides a smart building management system based on big data, including a data acquisition module, a data processing and analysis module, an intelligent control module, and a user interaction interface module.

[0020] The data acquisition module collects data in real time from various sensors and controller devices in the building.

[0021] The data processing and analysis module uses big data processing methods to preprocess the collected data, and applies machine learning algorithms to deeply analyze the preprocessed data, mine the hidden rules and trends behind the data, obtain analysis results, and provide decision-making basis for intelligent control through the analysis results.

[0022] The intelligent control module automatically adjusts the operating states of various devices in the building according to the analysis results of the data.

[0023] The user interaction interface module allows users to view real-time data, historical records, and analysis reports through a front-end operation interface, and supports users to customize management strategies to meet personalized needs in different scenarios.

[0024] Furthermore, the data acquisition module of the smart building management device based on big data collects environmental parameters from temperature sensors, humidity sensors, and light intensity sensors in the building, and collects energy consumption data and security monitoring information from controller devices.

[0025] Furthermore, the data processing and analysis module of the smart building management device based on big data preprocesses the collected data, including cleaning, integrating, and storing the collected data.

[0026] Among them, the collected data is cleaned, including:

[0027] Deleting duplicate data: Check whether there are duplicate data records in the dataset and perform deduplication processing.

[0028] Handling missing values: Check whether there are missing values in the dataset and use deletion, filling, or interpolation methods to estimate the missing values.

[0029] Handling outliers: Identify and handle outliers in the dataset.

[0030] Performing format and type conversion: Convert the data into a unified format and type.

[0031] Furthermore, the intelligent control module of the intelligent building management device based on big data automatically adjusts the operating states of various devices in the building, including: automatically adjusting the air conditioning temperature, optimizing the lighting layout, and warning of potential safety hazards.

[0032] The beneficial effects of the present invention are:

[0033] Realize the comprehensive collection, efficient processing, and intelligent analysis of data of various facilities in the building, thereby optimizing the building operation efficiency, reducing energy consumption costs, and improving the quality of the living or working environment. Break data islands, realize data sharing and collaboration among multiple systems; enhance the system's adaptability, dynamically adjust management strategies according to real-time data; provide intuitive decision-making support tools to assist managers in making scientific decisions. Brief Description of the Drawings

[0034] Figure 1 It is a schematic flowchart of the method of the present invention. Detailed Embodiments

[0035] The following further describes the present invention in conjunction with the drawings and specific embodiments, so that those skilled in the art can better understand the present invention and be able to implement it, but the embodiments cited do not limit the present invention.

[0036] Embodiment 1

[0037] The present invention provides a big data-based intelligent building management method, including:

[0038] Step 1: Real-time collect data from various sensors and controller devices in the building. Among them, environmental parameters are collected from temperature sensors, humidity sensors, and light intensity sensors in the building, and energy consumption data and safety monitoring information are collected from controller devices.

[0039] Step 2: Adopt big data processing methods to preprocess the collected data, and use machine learning algorithms to deeply analyze the preprocessed data, mine the hidden laws and trends behind the data, obtain the analysis results, and provide a decision-making basis for intelligent control through the analysis results.

[0040] Among them, preprocessing the collected data may further include cleaning, integrating, and storing the collected data.

[0041] Among them, cleaning the collected data includes:

[0042] Deleting duplicate data: Check whether there are duplicate data records in the dataset and perform deduplication processing.

[0043] Handling missing values: Check whether there are missing values in the dataset and adopt deletion, filling, or interpolation methods to estimate the missing values.

[0044] Handling outliers: Identify and handle outliers in the dataset.

[0045] Performing format and type conversion: Convert the data into a unified format and type.

[0046] Step 3: Automatically adjust the operating states of various devices in the building according to the analysis results of the data. Among them, automatically adjusting the operating states of various devices in the building includes: automatically adjusting the air conditioning temperature, optimizing the lighting layout, and giving early warnings for potential safety hazards.

[0047] Step 4: Through the front-end operation interface, allow users to view real-time data, historical records, and analysis reports, and support users to customize management strategies to meet personalized needs in different scenarios.

[0048] Embodiment 2

[0049] The present invention also provides a smart building management system based on big data, including a data acquisition module, a data processing and analysis module, an intelligent control module, and a user interaction interface module.

[0050] The data acquisition module collects data in real time from various sensors and controller devices in the building.

[0051] The data processing and analysis module adopts big data processing methods to preprocess the collected data, and uses machine learning algorithms to deeply analyze the preprocessed data, mine the hidden laws and trends behind the data, obtain the analysis results, and provide a decision-making basis for intelligent control through the analysis results.

[0052] The intelligent control module automatically adjusts the operating states of various devices in the building according to the analysis results of the data.

[0053] The user interaction interface module allows users to view real-time data, historical records, and analysis reports through the front-end operation interface, and supports users to customize management strategies to meet personalized needs in different scenarios.

[0054] Regarding the information interaction, execution process, etc. among the above-mentioned modules in the system, since they are based on the same concept as the method embodiment of the present invention, the specific content can be referred to the description in the method embodiment of the present invention, and will not be elaborated here.

[0055] Similarly, the system of the present invention realizes the comprehensive collection, efficient processing, and intelligent analysis of data of various facilities in the building, thereby optimizing the building operation efficiency, reducing energy consumption costs, and improving the quality of the living or working environment. It breaks data islands and realizes data sharing and collaboration among multiple systems; enhances the adaptive ability of the system and dynamically adjusts management strategies according to real-time data; provides intuitive decision-making support tools to assist managers in making scientific decisions.

[0056] It should be noted that not all steps and modules in the above-mentioned processes and system structures are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted according to needs. The system structures described in the above embodiments can be physical structures or logical structures, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or some components in multiple independent devices can be jointly implemented.

[0057] The above-mentioned embodiments are only preferred embodiments given to fully illustrate the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or transformations made by those skilled in the art on the basis of the present invention are within the protection scope of the present invention. The protection scope of the present invention is subject to the claims.

Claims

1. A smart building management method based on big data, characterized by include: Step 1: Collect data in real time from various sensors and controller devices in the building. Step 2: Use big data processing methods to pre-process the collected data, and use machine learning algorithms to conduct in-depth analysis of the pre-processed data, explore the hidden laws and trends behind the data, obtain analysis results, and provide decision-making basis for intelligent control through analysis results. Step 3: Automatically adjust the operating status of various equipment in the building based on the data analysis results. Step 4: Through the front-end operation interface, users are allowed to view real-time data, historical records, and analysis reports, and support user-defined management strategies to meet personalized needs in different scenarios.

2. According to claim 1, a smart building management method based on big data is characterized by: Step 1 specifically includes: Collect environmental parameters from temperature sensors, humidity sensors, and light intensity sensors in the building, and collect energy consumption data and security monitoring information from controller devices.

3. According to claim 1, a smart building management method based on big data is characterized by: In step 2, the collected data is preprocessed, including cleaning, integration, and storage of the collected data. The collected data is cleaned, including: Deleting duplicate data: Checking whether there are duplicate data records in the data set and performing deduplication processing. Handling missing values: Check if there are missing values ​​in the dataset and estimate the missing values ​​by deleting, filling or using interpolation. Handling outliers: Identifying and handling outliers in a dataset, Perform format and type conversion: Convert data into a uniform format and type.

4. The big data-based smart building management method according to claim 1 is characterized by: In step 3, the operating status of various equipment in the building is automatically adjusted, including: automatically adjusting the air-conditioning temperature, optimizing the lighting layout, and issuing early warnings for safety hazards.

5. A smart building management system based on big data, characterized by It includes data acquisition module, data processing and analysis module, intelligent control module and user interaction interface module. The data acquisition module collects data in real time from various sensors and controller devices in the building. The data processing and analysis module uses big data processing methods to pre-process the collected data, and uses machine learning algorithms to conduct in-depth analysis of the pre-processed data, explore the hidden laws and trends behind the data, obtain analysis results, and provide decision-making basis for intelligent control through analysis results. The intelligent control module automatically adjusts the operating status of various equipment in the building based on the data analysis results. The user interaction interface module allows users to view real-time data, historical records, and analysis reports through the front-end operation interface, and supports user-defined management strategies to meet personalized needs in different scenarios.

6. The big data-based smart building management system according to claim 5 is characterized by: The data acquisition module collects environmental parameters from the temperature sensors, humidity sensors, and light intensity sensors in the building, and collects energy consumption data and safety monitoring information from the controller equipment.

7. The big data-based smart building management system according to claim 5 is characterized by: The data processing and analysis module pre-processes the collected data, including cleaning, integrating and storing the collected data. The collected data is cleaned, including: Deleting duplicate data: Checking whether there are duplicate data records in the data set and performing deduplication processing. Handling missing values: Check if there are missing values ​​in the dataset and estimate the missing values ​​by deleting, filling or using interpolation. Handling outliers: Identifying and handling outliers in a dataset, Perform format and type conversion: Convert data into a uniform format and type.

8. The big data-based smart building management system according to claim 5 is characterized by: The intelligent control module automatically adjusts the operating status of various equipment in the building, including: automatically adjusting the air-conditioning temperature, optimizing the lighting layout, and issuing early warnings for safety hazards.

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