Healthy low-carbon building system based on intelligent regulation and control and implementation method thereof

Abstract

The invention discloses a healthy low-carbon building system based on intelligent regulation and control and an implementation method thereof, and relates to the technical field of low-carbon buildings, the healthy low-carbon building system comprises an environment monitoring subsystem, an intelligent regulation and control subsystem and an interaction control system; the environment monitoring subsystem is used for uniformly collecting and sorting environment data of buildings and life, including real-time indoor and outdoor temperature, air circulation rate, environment humidity and light sensation illumination, sending the collected data to the intelligent regulation and control subsystem, and comparing the collected data with suitable environment standards one by one, so that the current living environment state is checked, and the real-time monitoring of the environment of the buildings and life is realized. And meanwhile, according to the compared difference value, the interactive control system is used for performing remote wireless control on the low-carbon energy equipment, so that low-carbon energy supply is kept while the living quality is improved. According to the building system, building operation data and environment information are collected, resources such as water and electricity in a building are reasonably distributed and utilized, meanwhile, natural energy is combined and utilized to serve as energy supply of building equipment, and the low-carbon and environment-friendly building system is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of low-carbon buildings, and in particular to a healthy low-carbon building system based on intelligent regulation and an implementation method thereof. Background Art

[0002] Low-carbon architecture refers to reducing fossil energy use, improving energy efficiency, and lowering carbon dioxide emissions throughout the entire life cycle of building materials and equipment manufacturing, construction, and usage. Low-carbon architecture has gradually become a mainstream trend in the international construction industry. An often-overlooked fact is that buildings account for almost 50% of total carbon dioxide emissions, a proportion far higher than that of the transportation and industrial sectors.

[0003] At present, most building equipment in architectural design is operated by independent energy supply. Its power consumption is difficult to estimate, and a large amount of energy is wasted or overused, lacking sufficient management and regulation. In order to save energy, energy use is generally controlled by manual settings and manipulation, but it requires a lot of manpower costs and mainly relies on the subjective consciousness of managers, which cannot form targeted management. Summary of the Invention

[0004] In response to the deficiencies of the prior art, the present invention provides a healthy and low-carbon building system based on intelligent regulation and its implementation method, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a healthy and low-carbon building system based on intelligent regulation, including an environmental monitoring subsystem, an intelligent regulation subsystem and an interactive control system;

[0006] The environmental monitoring subsystem collects and organizes building and living environment data, including real-time indoor and outdoor temperature, air circulation rate, ambient humidity, and light-sensing lighting. The collected data is sent to the intelligent control subsystem for comparison with appropriate environmental standards to verify the current living environment status. At the same time, based on the difference values after comparison, the interactive control system remotely and wirelessly controls low-carbon energy equipment, thereby improving living quality while maintaining low-carbon energy supply.

[0007] in,

[0008] The environmental monitoring subsystem is a comprehensive system for monitoring and analyzing the status of the home environment. In response to the increasingly high requirements for the safety, comfort and health of the living environment, it provides users with real-time information on the home environment to help users better manage and improve their living environment. The system supports the access of multiple smart devices, including but not limited to temperature and humidity sensors, air quality monitors, and smart cameras, making it convenient for users to integrate different types of devices into the system. The devices and the system are connected to the network using one or more of LAN broadcast and Bluetooth technologies. The system also includes real-time collection and management of environmental data, and integrates and packages the environmental data for management. Users can remotely set thresholds. When environmental parameters deviate from the normal range, users are immediately notified via APP push, SMS or email to ensure that users can deal with abnormal situations in a timely manner.

[0009] The intelligent control subsystem is used to analyze and operate the data collected by the environmental monitoring subsystem, generate data dynamic curves, set corresponding environmental parameters, and compare the data with the set parameters one by one to obtain type data differences. When the type data difference exceeds the set range, multiple independent control plans are generated according to each parameter type, and the control plans of the same time node are merged into a set. A prediction model and parameter curve are established based on the control plan to obtain the final control result and control duration. During the process of establishing the prediction model, the data dynamic curve is synchronized with the model, and the model is adjusted in real time according to changes in the monitoring data. The prediction model established in this way better meets the user's usage needs;

[0010] The interactive control system uses wireless / wired signal transmission to receive real-time environmental data obtained by the environmental monitoring subsystem, and at the same time sends control signals to control the environmental equipment in the building system and adjust its set parameters in real time.

[0011] Optionally, the environment monitoring subsystem includes a sensor monitoring module, an environment data collection module and a monitoring equipment management module.

[0012] Optionally, the sensor monitoring module uses temperature and humidity sensors, air quality sensors, light sensors, and wind speed sensors to monitor and collect indoor and outdoor temperature, humidity, air quality, light intensity, and wind speed data of the building's living environment. At the same time, it also separately monitors the user's daily electricity consumption, electricity consumption time interval, and daily water consumption. According to the user's usage, the intelligent control subsystem is used to reasonably allocate natural energy reserves to achieve low-carbon energy utilization.

[0013] Optionally, the sensor monitoring module implements remote environmental monitoring through the Internet of Things platform, making it easier for users to understand the living environment conditions; wherein, the remote monitoring data is used to help users discover problems in a timely manner and remotely intervene to control smart home devices.

[0014] Optionally, the environmental data collection module uses sensors or metering equipment to collect real-time data, performs preliminary cleaning on the collected data, removes duplicate content and abnormal data in the data for secondary matching, then classifies the verified data, and separately saves abnormal data sets or data sets that do not meet the reasonable range as the basis for subsequent analysis, thereby making the data more in line with the requirements of subsequent analysis and application, and sending the data to the intelligent control subsystem via wired / wireless communication for subsequent monitoring and analysis operations.

[0015] Optionally, the monitoring device management module is used for remote supervision and control of the equipment, wherein the user uses remote communication to freely set the threshold of the monitoring device, and is also used to predict potential problems of the equipment, take preventive measures, reduce equipment downtime, improve monitoring efficiency, and enhance overall operational efficiency; a fault alarm mechanism is provided inside the equipment, which can promptly notify management personnel when an abnormality occurs in the equipment, reduce potential losses and risks, and ensure the normal and continuous operation of the equipment. The equipment is equipped with multi-level alarms, and different levels of response measures are taken according to the severity of the fault. At the same time, each setting information and maintenance information is recorded, including setting content, setting time, maintenance time, content, and participants, to establish a complete equipment file and track the historical status of the equipment.

[0016] Optionally, the temperature and humidity sensor is used to accurately detect indoor and outdoor temperature and humidity, and transmit data in real time through the Internet of Things platform to help users adjust the indoor environment and optimize living comfort and health. The sensor is integrated into thermostats, humidifiers, and dehumidifiers.

[0017] Air quality sensors are used to detect particulate matter and volatile organic compounds in indoor and outdoor air, helping users understand the health of their indoor environment. Sensors are also integrated into air purifiers and fresh air systems to automatically adjust purification and ventilation to ensure indoor air quality.

[0018] Light sensors are used to measure the light intensity indoors and outdoors, and control the switching and brightness of lights through the smart home platform. At the same time, they also control the lighting of corridors and public facilities through building equipment to optimize the user's living environment. Light sensors are integrated into curtains, lights and smart home systems to achieve intelligent lighting management and scene customization. Light sensors are also installed in corridors, exterior walls and basements.

[0019] A method for implementing a healthy low-carbon building system based on intelligent regulation includes the following specific steps:

[0020] Step 1: Adopt a multi-point layout based on the building structure and install multiple sensors for monitoring the indoor and outdoor climate environment. The sensors include temperature sensors, humidity sensors, air quality detection sensors, light sensors, and wind speed sensors. At the same time, corresponding photovoltaic power generation components, wind power generation components, and heat exchange components need to be installed.

[0021] in,

[0022] Photovoltaic power generation components, wind power generation components and heat exchange components are all equipped with diversion equipment to distribute energy according to the required parameters set by the user and the real-time control status;

[0023] Step 2: Establish an intelligent control subsystem that is connected to the building ventilation system, lighting system, and the user's personal smart home system.

[0024] Step 3: In the intelligent control subsystem, set the parameter location x and the data type k 1 、k 2 、k 3 、k 4 ...k n-1 、k n ;

[0025] The difference in type data is set to

[0026] Collect multiple Each Each of them corresponds to a corresponding strategy scheme, which searches for duplicate items in the difference of multiple types of data. If there are duplicate items, just keep one of them.

[0027] according to The system proposes corresponding strategic solutions and uses interactive control systems to adjust and control the equipment;

[0028] Step 4: Propose corresponding strategic plans based on real-time environmental data to maintain energy supply based on low-carbon and environmental protection;

[0029] Step 5: Feedback the policy command to the smart device.

[0030] The present invention provides a healthy low-carbon building system based on intelligent regulation and its implementation method, which has the following beneficial effects:

[0031] This healthy and low-carbon building system based on intelligent regulation and its implementation method, through real-time monitoring and regulation of the home environment, the smart home system can provide a more comfortable and healthy living environment, which is conducive to improving the quality of life of family members. At the same time, by collecting the operating data and environmental information of building equipment, it can realize the rational allocation and utilization of water, electricity and other resources in the building, reducing energy consumption; adjust the operation of the water supply system according to real-time water consumption data; intelligently adjust the air-conditioning system according to indoor temperature and humidity and personnel activities; and automatically adjust the environmental parameters in the building, including ambient temperature, humidity, light, etc., according to user needs and habits, to provide a more comfortable living and working environment; thereby rationally utilizing natural energy as the energy supply for building equipment and realizing a low-carbon and environmentally friendly building system. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0033] A healthy and low-carbon building system based on intelligent regulation, including an environmental monitoring subsystem, an intelligent regulation subsystem and an interactive control system;

[0034] The environmental monitoring subsystem collects and organizes building and living environment data, including real-time indoor and outdoor temperature, air circulation rate, ambient humidity, and light-sensing lighting. The collected data is sent to the intelligent control subsystem for comparison with appropriate environmental standards to verify the current living environment status. At the same time, based on the difference values after comparison, the interactive control system remotely and wirelessly controls low-carbon energy equipment, thereby improving living quality while maintaining low-carbon energy supply.

[0035] in,

[0036] The environmental monitoring subsystem is a comprehensive system for monitoring and analyzing the status of the home environment. In response to the increasingly high requirements for the safety, comfort and health of the living environment, it provides users with real-time information on the home environment to help users better manage and improve their living environment. The system supports the access of multiple smart devices, including but not limited to temperature and humidity sensors, air quality monitors, and smart cameras, making it convenient for users to integrate different types of devices into the system. The devices and the system are connected to the network using one or more of LAN broadcast and Bluetooth technologies. The system also includes real-time collection and management of environmental data, and integrates and packages the environmental data for management. Users can remotely set thresholds. When environmental parameters deviate from the normal range, users are immediately notified via APP push, SMS or email to ensure that users can deal with abnormal situations in a timely manner.

[0037] The environmental monitoring subsystem includes a sensor monitoring module, an environmental data collection module, and a monitoring equipment management module;

[0038] The sensor monitoring module uses temperature and humidity sensors, air quality sensors, light sensors, and wind speed sensors to monitor and collect data on the indoor and outdoor temperature, humidity, air quality, light intensity, and wind speed of the building's living environment. It also monitors the user's daily electricity consumption, electricity consumption time interval, and daily water consumption. The intelligent control subsystem is used to rationally allocate natural energy reserves based on user usage to achieve low-carbon energy utilization;

[0039] Temperature and humidity sensors are used to accurately detect indoor and outdoor temperature and humidity, and transmit data in real time through the IoT platform to help users adjust the indoor environment and optimize living comfort and health. Sensors are integrated into thermostats, humidifiers, and dehumidifiers.

[0040] Air quality sensors are used to detect particulate matter and volatile organic compounds in indoor and outdoor air, helping users understand the health of their indoor environment. Sensors are also integrated into air purifiers and fresh air systems to automatically adjust purification and ventilation to ensure indoor air quality.

[0041] Light sensors are used to measure indoor and outdoor light intensity and control light on / off and brightness adjustment through the smart home platform. They also control lighting in corridors and public facilities through building equipment to optimize the user's living environment. Light sensors are integrated into curtains, lights, and smart home systems to achieve intelligent lighting management and scene customization. Light sensors are also installed in corridors, exterior walls, and basements.

[0042] The sensor monitoring module enables remote environmental monitoring through the Internet of Things platform, allowing users to understand the status of their living environment. The remote monitoring data is used to help users identify problems in a timely manner and remotely intervene to control smart home devices.

[0043] The environmental data collection module uses sensors or metering equipment to collect real-time data, performs preliminary cleaning on the collected data, removes duplicate content and abnormal data from the data content, and then classifies the verified data. It also saves abnormal data sets or data sets that do not meet the reasonable range as the basis for subsequent analysis, thereby making the data more in line with the requirements of subsequent analysis and application. The data is sent to the intelligent control subsystem via wired / wireless communication for subsequent monitoring and analysis operations;

[0044] The monitoring equipment management module is used for remote supervision and control of equipment. Users can freely set the thresholds of monitoring equipment through remote communication. It is also used to predict potential problems of equipment, take preventive measures, reduce equipment downtime, improve monitoring efficiency, and enhance overall operational efficiency. The equipment is equipped with a fault alarm mechanism to promptly notify management personnel when equipment anomalies occur, reducing potential losses and risks and ensuring the normal and continuous operation of the equipment. The equipment has multiple levels of alarms and takes different levels of response measures according to the severity of the fault. At the same time, each setting and maintenance information is recorded, including setting content, setting time, maintenance time, content, and participants, to establish a complete equipment file and track the historical status of the equipment.

[0045] The intelligent control subsystem is used to analyze and operate the data collected by the environmental monitoring subsystem, generate data dynamic curves, set corresponding environmental parameters, and compare the data with the set parameters one by one to obtain type data differences. When the type data difference exceeds the set range, multiple independent control plans are generated according to each parameter type, and the control plans of the same time node are merged into a set. A prediction model and parameter curve are established based on the control plan to obtain the final control result and control duration. During the process of establishing the prediction model, the data dynamic curve is synchronized with the model, and the model is adjusted in real time according to changes in the monitoring data. The prediction model established in this way better meets the user's usage needs;

[0046] The interactive control system uses wireless / wired signal transmission to receive real-time environmental data obtained by the environmental monitoring subsystem, and at the same time sends control signals to control the environmental equipment in the building system and adjust its set parameters in real time.

[0047] A method for implementing a healthy low-carbon building system based on intelligent regulation includes the following specific steps:

[0048] Step 1: Adopt a multi-point layout based on the building structure and install multiple sensors for monitoring the indoor and outdoor climate environment. The sensors include temperature sensors, humidity sensors, air quality detection sensors, light sensors, and wind speed sensors. At the same time, corresponding photovoltaic power generation components, wind power generation components, and heat exchange components need to be installed.

[0049] in,

[0050] Photovoltaic power generation components, wind power generation components and heat exchange components are all equipped with diversion equipment to distribute energy according to the required parameters set by the user and the real-time control status;

[0051] Step 2: Establish an intelligent control subsystem that is connected to the building ventilation system, lighting system, and the user's personal smart home system.

[0052] Step 3: In the intelligent control subsystem, set the parameter location x and the data type k 1 、k 2 、k 3 、k 4 ...k n-1 、k n ;

[0053] The difference in type data is set to

[0054] Collect multiple Each Each of them corresponds to a corresponding strategy scheme, which searches for duplicate items in the difference of multiple types of data. If there are duplicate items, just keep one of them.

[0055] according to The system proposes corresponding strategic solutions and uses interactive control systems to adjust and control the equipment;

[0056] Step 4: Propose corresponding strategic plans based on real-time environmental data to maintain energy supply based on low-carbon and environmental protection;

[0057] Step 5: Feedback the policy command to the smart device.

[0058] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A healthy low-carbon building system based on intelligent regulation, characterized by: Including environmental monitoring subsystem, intelligent control subsystem and interactive control system; The environmental monitoring subsystem collects and organizes building and living environment data, including real-time indoor and outdoor temperature, air circulation rate, ambient humidity, and light-sensing lighting. The collected data is sent to the intelligent control subsystem for comparison with appropriate environmental standards to verify the current living environment status. At the same time, based on the difference values after comparison, the interactive control system remotely and wirelessly controls low-carbon energy equipment, thereby improving living quality while maintaining low-carbon energy supply. in, The environmental monitoring subsystem is a comprehensive system for monitoring and analyzing the status of the home environment. In response to the increasingly high requirements for the safety, comfort and health of the living environment, it provides users with real-time information on the home environment to help users better manage and improve their living environment. The system supports the access of multiple smart devices, including but not limited to temperature and humidity sensors, air quality monitors, and smart cameras, making it convenient for users to integrate different types of devices into the system. The devices and the system are connected to the network using one or more of LAN broadcast and Bluetooth technologies. The system also includes real-time collection and management of environmental data, and integrates and packages the environmental data for management. Users can remotely set thresholds. When environmental parameters deviate from the normal range, users are immediately notified via APP push, SMS or email to ensure that users can deal with abnormal situations in a timely manner. The intelligent control subsystem is used to analyze and operate the data collected by the environmental monitoring subsystem, generate data dynamic curves, set corresponding environmental parameters, and compare the data with the set parameters one by one to obtain type data differences. When the type data difference exceeds the set range, multiple independent control plans are generated according to each parameter type, and the control plans of the same time node are merged into a set. A prediction model and parameter curve are established based on the control plan to obtain the final control result and control duration. During the process of establishing the prediction model, the data dynamic curve is synchronized with the model, and the model is adjusted in real time according to changes in the monitoring data. The prediction model established in this way better meets the user's usage needs; The interactive control system uses wireless / wired signal transmission to receive real-time environmental data obtained by the environmental monitoring subsystem, and at the same time sends control signals to control the environmental equipment in the building system and adjust its set parameters in real time.

2. The healthy low-carbon building system based on intelligent control according to claim 1 is characterized by: The environmental monitoring subsystem includes a sensor monitoring module, an environmental data collection module and a monitoring equipment management module.

3. The healthy low-carbon building system based on intelligent control according to claim 2 is characterized by: The sensor monitoring module uses temperature and humidity sensors, air quality sensors, light sensors, and wind speed sensors to monitor and collect indoor and outdoor temperature, humidity, air quality, light intensity, and wind speed data of the building's living environment. At the same time, it also separately monitors the user's daily electricity consumption, electricity consumption time interval, and daily water consumption. The intelligent control subsystem is used to reasonably allocate natural energy reserves according to the user's usage to achieve low-carbon energy utilization.

4. The healthy low-carbon building system based on intelligent control according to claim 3 is characterized by: The sensor monitoring module realizes remote environmental monitoring through the Internet of Things platform, making it easier for users to understand the living environment conditions; wherein, the remote monitoring data is used to help users discover problems in a timely manner and remotely intervene to control smart home devices.

5. The healthy low-carbon building system based on intelligent control according to claim 2 is characterized by: The environmental data collection module uses sensors or metering equipment to collect real-time data, performs preliminary cleaning on the collected data, removes duplicate content and abnormal data in the data content for secondary matching, then classifies the verified data, and separately saves abnormal data sets or data sets that do not meet the reasonable range as the basis for subsequent analysis, thereby making the data more in line with the requirements of subsequent analysis and application, and sends the data to the intelligent control subsystem via wired / wireless communication for subsequent monitoring and analysis operations.

6. The healthy low-carbon building system based on intelligent control according to claim 3 is characterized by: The monitoring device management module is used for remote supervision and control of the equipment, wherein the user uses remote communication to freely set the threshold of the monitoring device, and is also used to predict potential problems of the equipment, take preventive measures, reduce equipment downtime, improve monitoring efficiency, and enhance overall operational efficiency; a fault alarm mechanism is provided inside the equipment, which can promptly notify management personnel when an abnormality occurs in the equipment, reduce potential losses and risks, and ensure the normal and continuous operation of the equipment. The equipment is equipped with multi-level alarms, and different levels of response measures are taken according to the severity of the fault. At the same time, each setting information and maintenance information is recorded, including setting content, setting time, maintenance time, content, and participants, to establish a complete equipment file and track the historical status of the equipment.

7. The healthy low-carbon building system based on intelligent control according to claim 3 is characterized by: The temperature and humidity sensor is used to accurately detect indoor and outdoor temperature and humidity, and transmit data in real time through the Internet of Things platform to help users adjust the indoor environment and optimize living comfort and health. The sensor is integrated into thermostats, humidifiers, and dehumidifiers. Air quality sensors are used to detect particulate matter and volatile organic compounds in indoor and outdoor air, helping users understand the health of their indoor environment. Sensors are also integrated into air purifiers and fresh air systems to automatically adjust purification and ventilation to ensure indoor air quality. Light sensors are used to measure the light intensity indoors and outdoors, and control the switching and brightness of lights through the smart home platform. At the same time, they also control the lighting of corridors and public facilities through building equipment to optimize the user's living environment. Light sensors are integrated into curtains, lights and smart home systems to achieve intelligent lighting management and scene customization. Light sensors are also installed in corridors, exterior walls and basements.

8. A method for implementing the healthy low-carbon building system based on intelligent regulation according to any one of claims 1 to 7, characterized in that: The specific steps include: Step 1: Adopt a multi-point layout based on the building structure and install multiple sensors for monitoring the indoor and outdoor climate environment. The sensors include temperature sensors, humidity sensors, air quality detection sensors, light sensors, and wind speed sensors. At the same time, corresponding photovoltaic power generation components, wind power generation components, and heat exchange components need to be installed. in, Photovoltaic power generation components, wind power generation components and heat exchange components are all equipped with diversion equipment to distribute energy according to the required parameters set by the user and the real-time control status; Step 2: Establish an intelligent control subsystem that is connected to the building ventilation system, lighting system, and the user's personal smart home system. Step 3: In the intelligent control subsystem, set the parameter location x and the data type k 1 、k 2 、k 3 、k 4 ...k n-1 、k n ; The difference in type data is set to Collect multiple Each Each of them corresponds to a corresponding strategy scheme, which searches for duplicate items in the difference of multiple types of data. If there are duplicate items, just keep one of them. according to The system proposes corresponding strategic solutions and uses interactive control systems to adjust and control the equipment; Step 4: Propose corresponding strategic plans based on real-time environmental data to maintain energy supply based on low-carbon and environmental protection; Step 5: Feedback the policy command to the smart device.