Building energy-saving control system based on intelligent design analysis

Abstract

The invention discloses a building energy-saving control system based on intelligent design analysis, relates to the field of building energy-saving control, and collects multi-dimensional data such as temperature, illumination intensity, personnel activity and the like inside and outside a building in real time by means of a sensor network, and summarizes the data to a data processing center through a data transmission module. An advanced big data analysis algorithm is applied, potential correlation between data is deeply mined, the energy consumption trend of the building and energy requirements in different environments are accurately predicted, the intelligent control module automatically regulates and controls various energy consumption devices such as illumination, air conditioners and ventilation devices in the building based on the prediction result, refined management of building energy is achieved, and the energy utilization rate of the building is improved. The energy utilization efficiency is remarkably improved, the building energy consumption is effectively reduced, an innovative and practical technical scheme is provided for building green and energy-saving buildings, and wide application prospects and popularization values are achieved.

Description

Technical Field

[0001] This application relates to the field of building energy conservation control, and particularly to a building energy conservation control system based on intelligent design analysis. Background Art

[0002] Building energy conservation control can reduce energy consumption and environmental pollution while meeting people's energy demand for buildings, lower the operation cost of enterprises, and improve economic benefits. In the long run, this helps to promote the sustainable development of the economy, realize the rational utilization and recycling of resources. Energy-efficient buildings can provide a healthier and more comfortable indoor environment for people, reducing the impact of energy consumption and environmental pollution on human health. At the same time, building energy conservation control also conforms to the public interests and development requirements of society, contributing to the harmonious development and progress of society. However, the existing technologies have the following deficiencies: Even if the existing technologies can obtain the energy consumption data of buildings, due to the lack of professional data analysts and effective data analysis methods, these data are often not fully utilized, and thus it is impossible to find out the energy conservation problems and potential energy conservation space existing in the buildings through the analysis of energy consumption data, and it is also difficult to formulate targeted energy conservation measures. There is a lack of effective integration and coordinated control among the energy systems (such as ventilation, air conditioning, etc.) in the existing buildings. Each system operates independently, and the optimal allocation and comprehensive utilization of energy cannot be achieved. Summary of the Invention

[0003] The purpose of the present invention is to provide a building energy conservation control system based on intelligent design analysis to solve the problems raised in the above background art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A building energy conservation control system based on intelligent design analysis, comprising: A pedestrian flow monitoring module: used to monitor and obtain the pedestrian flow data of the target building, and obtain the total number of people flowing and the total number of people staying in each monitoring area corresponding to each floor inside. An environmental information monitoring module: used to monitor the environmental information corresponding to the target building, and obtain the environmental information set corresponding to the target building. A device operating parameter acquisition module: used to acquire the status data of lighting devices, the operating data of ventilation devices, and the operating data of temperature adjustment devices inside each floor of the target building, and establish an operating parameter set of devices inside each floor of the target building. An intelligent control analysis module: used to analyze according to the total number of people flowing and the total number of people staying in each monitoring area corresponding to each floor inside, the environmental information set corresponding to the target building, and the operating parameter set of devices inside each floor of the target building, and obtain the energy conservation control result corresponding to the target building.

[0005] In a preferred embodiment of the present invention, the specific implementation manner of the crowd flow monitoring module is as follows: Obtain the monitoring device layout log corresponding to the target building, where the monitoring device layout log corresponding to the target building includes the relative positions and monitoring areas of each monitoring device inside each floor of the target building; Obtain the monitoring information of each monitoring device inside each floor of the target building, extract data from the monitoring information of each monitoring device inside each floor of the target building, and obtain the total number of people flowing and the total number of people staying in the monitoring area corresponding to each monitoring device inside each floor within a unit time period, which is recorded as the total number of people flowing and the total number of people staying in the corresponding monitoring area inside each floor.

[0006] In a preferred embodiment of the present invention, the specific implementation manner of the environmental information monitoring module is as follows: Monitor the environmental information in the vicinity of the target building through the environmental monitoring devices preset outside the target building to obtain the external environmental information corresponding to the target building, where the external environmental information includes the external temperature and the external light intensity; Monitor the internal environment of each floor of the target building through each temperature sensor preset inside each floor of the target building to obtain the internal temperature corresponding to each temperature sensor preset inside each floor; Obtain the sensor layout log corresponding to the target building, obtain the relative positions of each temperature sensor inside each floor of the target building through the sensor layout log, perform position matching through the relative positions of each temperature sensor inside each floor and the relative positions and monitoring areas of each monitoring device inside each floor to obtain the temperature sensors corresponding to each monitoring area inside each floor, and record the weighted average temperature of the temperature sensors corresponding to each monitoring area as the internal temperature corresponding to each monitoring area inside each floor; Record the external environmental information corresponding to the target building and the internal temperature corresponding to each monitoring area inside each floor as the environmental information set corresponding to the target building, and obtain the time point when the environmental information set corresponding to the target building is established, which is recorded as the data monitoring time point.

[0007] In a preferred embodiment of the present invention, the specific implementation manner of the device operating parameter acquisition module is as follows: Obtain the lighting device status data, ventilation device operation data, and temperature regulation device operation data inside each floor of the target building through the integrated control platform, where the lighting device status data inside each floor includes the lighting power of each lighting device corresponding to each floor inside; The ventilation device operation data includes the ventilation volume and device power of each ventilation device corresponding to each floor, and obtain the total ventilation volume and total device power corresponding to each floor; The temperature regulation device operation data includes the temperature setting values of the temperature regulation devices corresponding to each monitoring area inside each floor; Record the status data of lighting equipment, operation data of ventilation equipment, and operation data of temperature regulation equipment inside each floor of the target building as the equipment working parameter set inside each floor of the target building.

[0008] In a preferred embodiment of the present invention, the specific execution manner of the intelligent control analysis module is as follows: Perform data calculation on the external temperature corresponding to the target building and the internal temperature corresponding to each monitoring area inside each floor to obtain the actual internal and external temperature difference corresponding to each monitoring area inside each floor. Perform data calculation on the temperature set value of the temperature regulation equipment corresponding to each monitoring area inside each floor and the internal temperature corresponding to each monitoring area to obtain the temperature control deviation of the temperature regulation equipment corresponding to each monitoring area inside each floor. Extract the ventilation volume and equipment power change curve corresponding to the ventilation equipment stored in the database. Obtain the historical monitoring information of each monitoring device inside each floor corresponding to the target building and perform data analysis to obtain the increase ratio of the number of flowing people and the increase ratio of the number of resident people corresponding to each monitoring area on each floor at the data monitoring point. Analyze the increase ratio of the number of flowing people and the increase ratio of the number of resident people corresponding to each monitoring area on each floor at the data monitoring point and the total number of flowing people and the total number of resident people corresponding to each monitoring area inside each floor to obtain the total increase ratio of the number of flowing people and the total increase ratio of the number of resident people corresponding to each floor. Through the calculation formula , calculate and obtain the new ventilation volume corresponding to each floor , where 、 respectively represent the total increase ratio of the number of flowing people and the total increase ratio of the number of resident people corresponding to each floor, represents the floor number corresponding to each floor, represents the total ventilation volume corresponding to each floor; By establishing a data model for the new ventilation volume corresponding to each floor, the ventilation volume and equipment power change curve corresponding to the ventilation equipment, the ventilation volume and equipment power of each ventilation equipment corresponding to each floor, the data model splits the new ventilation volume corresponding to each floor into sub-new ventilation volumes of different sizes, and distributes the sub-new ventilation volumes to each ventilation opening corresponding to each floor, so that the total equipment power of each ventilation opening corresponding to each floor is minimized, and the new ventilation volume of each ventilation opening corresponding to each floor is screened out. Record the new ventilation volume of each ventilation opening corresponding to each floor of the target building as the ventilation control result corresponding to each floor of the target building. Through the calculation formula , calculate and obtain the influence coefficient of the change in the number of people on temperature corresponding to each monitoring area on each floor ; Through the calculation formula , the influence coefficient of the ventilation volume of each floor corresponding to each monitoring area on the temperature is calculated ; Through the architectural design plan corresponding to the target building, the direct lighting area of each monitoring area on each floor of the target building is obtained; , the influence coefficient of the lighting on the temperature of each floor corresponding to each monitoring area is calculated , where 、 respectively represent the increasing proportion of the flowing population and the increasing proportion of the resident population of each floor corresponding to each monitoring area, represents the actual internal and external temperature difference corresponding to each monitoring area inside each floor, represents the external lighting intensity corresponding to the target building, the direct lighting area of each monitoring area on each floor, represents the number of each monitoring area, represents the number of each monitoring area on each floor; Through the calculation formula , the temperature to be regulated corresponding to each monitoring area on each floor is calculated , where represents the internal temperature corresponding to each monitoring area inside each floor, represents the temperature control deviation of the temperature regulation equipment corresponding to each monitoring area inside each floor, and the temperature to be regulated corresponding to each monitoring area on each floor is recorded as the temperature control result corresponding to each floor; Through the light sensors preset at each lighting device for monitoring and data processing, the average natural lighting intensity per unit time when each lighting device is in the off state is obtained; The data relationship between the equipment working parameter acquisition module and the database is established, the natural lighting intensity intervals corresponding to each natural lighting influence level stored in the database are extracted, and combined with the average natural lighting intensity per unit time when each lighting device is in the off state for screening, the natural lighting influence level corresponding to each lighting device is obtained; The natural lighting intensity and lighting brightness change curves corresponding to each natural lighting influence level stored in the database are extracted, and the natural lighting intensity and lighting brightness change curves corresponding to each lighting device are obtained by screening; The ideal lighting brightness corresponding to each usage function in the database is extracted, the lighting power vs. lighting brightness change curve stored in the database is extracted, and the ideal lighting brightness corresponding to each floor and the lighting brightness corresponding to each lighting device on each floor are obtained by screening; A data model is established based on the natural light intensity and illumination brightness corresponding to each lighting device, the illumination brightness corresponding to each lighting device, the curve of illumination power varying with illumination brightness, the external light intensity corresponding to the target building, and the ideal illumination brightness corresponding to each floor. Through the data model, the illumination power regulation values for each lighting device corresponding to each floor are obtained so that the illumination power of each lighting device after regulation is equal to the ideal illumination brightness of the corresponding floor, and the illumination power regulation values of each lighting device on each floor are denoted as the lighting control results corresponding to each floor; The ventilation control results, temperature control results, and lighting control results corresponding to each floor are denoted as the intelligent control results corresponding to the target building.

[0009] Compared with the prior art, the beneficial effects of the present invention are as follows: By means of the sensor network, the present invention can collect multi-dimensional data inside and outside the building in real time, such as temperature, light intensity, and human activities, and summarize them to the data processing center through the data transmission module. Using advanced big data analysis algorithms, it deeply explores the potential correlations between data, accurately predicts the building energy consumption trend and energy demands in different environments. Based on the prediction results, the intelligent control module automatically regulates various energy-consuming devices such as lighting, air conditioning, and ventilation in the building, realizing the refined management of building energy, significantly improving the energy utilization efficiency, effectively reducing the building energy consumption, providing an innovative and practical technical solution for building green and energy-saving buildings, and having broad application prospects and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The present invention will be further described with reference to the accompanying drawings. However, the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the following drawings without creative efforts.

[0011] Figure 1 It is a schematic diagram of the module connection in the embodiment of the present invention.

[0012] Figure 2 It is a schematic diagram of the components included in the intelligent control analysis module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0014] Please refer to Figure 1, the present invention provides a building energy-saving control system based on intelligent design analysis. The method includes a human flow monitoring module, an environmental information monitoring module, a device operating parameter acquisition module, and an intelligent control analysis module; The human flow monitoring module is connected to the intelligent control analysis module, the environmental information monitoring module is connected to the intelligent control analysis module, and the device operating parameter acquisition module is connected to the intelligent control analysis module.

[0015] The human flow monitoring module is used to monitor and obtain the human flow data of the target building, and obtain the total number of people flowing and the total number of people staying in each monitoring area corresponding to each floor inside; Furthermore, the specific implementation method of the human flow monitoring module is as follows: Obtain the layout log of the monitoring devices corresponding to the target building, where the layout log of the monitoring devices corresponding to the target building includes the relative positions and monitoring areas of each monitoring device inside each floor of the target building; Obtain the monitoring information of each monitoring device inside each floor of the target building, extract the data from the monitoring information of each monitoring device inside each floor of the target building, and obtain the total number of people flowing and the total number of people staying in the monitoring area corresponding to each monitoring device inside each floor within a unit time period, denoted as the total number of people flowing and the total number of people staying in each monitoring area corresponding to each floor inside.

[0016] The environmental information monitoring module is used to monitor the environmental information corresponding to the target building and obtain the environmental information set corresponding to the target building; Furthermore, the specific implementation method of the environmental information monitoring module is as follows: Monitor the environmental information in the vicinity of the target building through the environmental monitoring devices preset outside the target building, and obtain the external environmental information corresponding to the target building, where the external environmental information includes the external temperature and the external light intensity; Monitor the internal environment of each floor of the target building through the temperature sensors preset inside each floor of the target building, and obtain the internal temperature corresponding to each temperature sensor preset inside each floor; Obtain the layout log of the sensors corresponding to the target building, obtain the relative positions of each temperature sensor inside each floor of the target building through the layout log of the sensors, perform position matching on the relative positions of each temperature sensor inside each floor with the relative positions and monitoring areas of each monitoring device inside each floor, obtain the temperature sensors corresponding to each monitoring area inside each floor, and denote the weighted average temperature of the temperature sensors corresponding to each monitoring area as the internal temperature corresponding to each monitoring area inside each floor; Denote the external environmental information corresponding to the target building and the internal temperature corresponding to each monitoring area inside each floor as the environmental information set corresponding to the target building, and obtain the time point when the environmental information set corresponding to the target building is established, denoted as the data monitoring time point.

[0017] The device operating parameter acquisition module is used to acquire the status data of lighting devices, the operating data of ventilation devices, and the operating data of temperature regulation devices inside each floor of the target building, and establish a set of device operating parameters for each floor inside the target building; Furthermore, the specific implementation method of the device operating parameter acquisition module is as follows: Obtain the status data of lighting devices, the operating data of ventilation devices, and the operating data of temperature regulation devices inside each floor of the target building through the integrated control platform, where the status data of lighting devices inside each floor includes the lighting power corresponding to each lighting device inside each floor; The operating data of ventilation devices includes the ventilation volume and device power corresponding to each ventilation device on each floor, and obtain the total ventilation volume and total device power corresponding to each floor; The operating data of temperature regulation devices includes the temperature setting values of temperature regulation devices corresponding to each monitored area inside each floor; Record the status data of lighting devices, the operating data of ventilation devices, and the operating data of temperature regulation devices inside each floor of the target building as the set of device operating parameters for each floor inside the target building.

[0018] The intelligent control analysis module is used to analyze based on the total number of flowing people and the total number of permanent residents corresponding to each monitored area inside each floor, the environmental information set corresponding to the target building, and the set of device operating parameters for each floor inside the target building, and obtain the energy-saving control result corresponding to the target building.

[0019] Furthermore, the specific implementation method of the intelligent control analysis module is as follows: Perform data calculation on the external temperature corresponding to the target building and the internal temperature corresponding to each monitored area inside each floor to obtain the actual internal and external temperature difference corresponding to each monitored area inside each floor; Perform data calculation on the temperature setting value of the temperature regulation device corresponding to each monitored area inside each floor and the internal temperature corresponding to each monitored area to obtain the temperature control deviation of the temperature regulation device corresponding to each monitored area inside each floor; Extract the ventilation volume and device power change curve corresponding to the ventilation device stored in the database; Obtain the historical monitoring information of each monitoring device corresponding to each floor inside the target building and perform data analysis to obtain the increasing ratio of the number of flowing people and the increasing ratio of the number of permanent residents corresponding to each monitored area on each floor at the data monitoring point. Analyze the increasing ratio of the number of flowing people and the increasing ratio of the number of permanent residents corresponding to each monitored area on each floor at the data monitoring point and the total number of flowing people and the total number of permanent residents corresponding to each monitored area inside each floor to obtain the total increasing ratio of the number of flowing people and the total increasing ratio of the number of permanent residents corresponding to each floor; Through the calculation formula , calculate the new ventilation volume corresponding to each floor , where 、 respectively represent the increase ratio of the total number of flowing people and the increase ratio of the total number of resident people corresponding to each floor, represents the number of each floor, represents the total ventilation volume corresponding to each floor; By establishing a data model for the new ventilation volume corresponding to each floor, the ventilation volume corresponding to the ventilation equipment and the curve of equipment power change, the ventilation volume and equipment power of each ventilation equipment corresponding to each floor, the data model splits the new ventilation volume corresponding to each floor into sub-new ventilation volumes of different sizes, and distributes each sub-new ventilation volume to each ventilation opening corresponding to each floor, so that the total equipment power of each ventilation opening corresponding to each floor is minimized, and the new ventilation volume of each ventilation opening corresponding to each floor is screened out. The new ventilation volume of each ventilation opening corresponding to each floor of the target building is recorded as the ventilation control result corresponding to each floor of the target building; Through the calculation formula , calculate the influence coefficient of the change in the number of people flow on the temperature for each monitoring area corresponding to each floor ; Through the calculation formula , calculate the influence coefficient of the ventilation volume on the temperature for each monitoring area corresponding to each floor ; Through the architectural design plan corresponding to the target building, obtain the direct sunlight area of each monitoring area in each floor corresponding to the target building; , calculate the influence coefficient of sunlight on the temperature for each monitoring area corresponding to each floor , where 、 respectively represent the increase ratio of the number of flowing people and the increase ratio of the number of resident people in each monitoring area corresponding to each floor, represents the actual internal and external temperature difference corresponding to each monitoring area inside each floor, represents the external sunlight intensity corresponding to the target building, the direct sunlight area of each monitoring area in each floor, represents the number of each monitoring area, represents the number of each monitoring area in each floor; Through the calculation formula , calculate the temperature to be regulated corresponding to each monitoring area in each floor , where represents the internal temperature corresponding to each monitoring area inside each floor, Denoted as the temperature control deviation of the temperature adjustment equipment corresponding to each monitoring area inside each floor, and the temperature to be regulated corresponding to each monitoring area in each floor is denoted as the temperature control result corresponding to each floor; Through the light sensors preset at each lighting device for monitoring and data processing, the average natural light intensity per unit time when each lighting device is in the off state is obtained; Establish the data relationship between the equipment working parameter acquisition module and the database, extract the natural light intensity intervals corresponding to each natural light influence level stored in the database, and combine the average natural light intensity per unit time when each lighting device is in the off state for screening to obtain the natural light influence level corresponding to each lighting device; Extract the natural light intensity and lighting brightness change curves corresponding to each natural light influence level stored in the database, and screen to obtain the natural light intensity and lighting brightness change curves corresponding to each lighting device; Extract the ideal lighting brightness corresponding to each usage function in the database, extract the lighting power change curve with the lighting brightness stored in the database, and screen to obtain the ideal lighting brightness corresponding to each floor and the lighting brightness corresponding to each lighting device on each floor; Establish a data model through the natural light intensity and lighting brightness corresponding to each lighting device, the lighting brightness corresponding to each lighting device, the lighting power change curve with the lighting brightness, the external light intensity corresponding to the target building, and the ideal lighting brightness corresponding to each floor. Obtain the lighting power regulation value of each lighting device corresponding to each floor through the data model so that the lighting power of each lighting device after regulation is equal to the ideal lighting brightness of the corresponding floor, and denote the lighting power regulation value of each lighting device on each floor as the lighting control result corresponding to each floor; Denote the ventilation control result, temperature control result, and lighting control result corresponding to each floor as the intelligent control result corresponding to the target building.

[0020] It should be noted that the direct natural light influence coefficient refers to the sensitivity directly affected by natural light. For example, the brightness near the window depends on natural light and changes drastically with the change of natural light. While in places like corridors that are not directly irradiated but through multiple diffuse reflections, although the brightness of such places is related to natural light, the change is not drastic.

[0021] The above are all the preferred embodiments of this application, and do not limit the protection scope of this application accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of this application should be covered within the protection scope of this application.

Claims

1. Building energy-saving control system based on intelligent design analysis, characterized by: include: Crowd monitoring module: used to monitor and obtain the crowd flow data of the target building, and obtain the total number of mobile people and total number of permanent people in each monitoring area corresponding to each floor; The specific implementation method of the crowd flow monitoring module is as follows: Obtaining a monitoring equipment deployment log corresponding to the target building, wherein the monitoring equipment deployment log corresponding to the target building includes the relative position and monitoring area of ​​each monitoring device inside each floor of the target building; Obtain monitoring information of each monitoring device inside each floor of the target building, extract data from the monitoring information of each monitoring device inside each floor of the target building, obtain the total number of mobile people and the total number of permanent residents in the monitoring area corresponding to each monitoring device inside each floor within a unit time period, and record them as the total number of mobile people and the total number of permanent residents in each monitoring area corresponding to each floor; Environmental information monitoring module: used to monitor the environmental information corresponding to the target building and obtain the environmental information set corresponding to the target building; Equipment working parameter acquisition module: used to acquire the lighting equipment status data, ventilation equipment operation data and temperature control equipment operation data inside each floor of the target building, and establish the equipment working parameter set inside each floor of the target building; Intelligent control analysis module: used to analyze the total number of mobile people and total permanent people in each monitoring area corresponding to each floor, the corresponding environmental information set of the target building and the equipment working parameter set inside each floor of the target building to obtain the energy-saving control results corresponding to the target building.

2. The building energy-saving control system based on intelligent design analysis according to claim 1 is characterized in that: The specific implementation method of the environmental information monitoring module is as follows: By monitoring the environmental information of the area near the target building with an environmental monitoring device preset outside the target building, the external environmental information corresponding to the target building is obtained, wherein the external environmental information includes external temperature and external light intensity; The internal environment of each floor of the target building is monitored by each temperature sensor preset inside each floor of the target building to obtain the internal temperature corresponding to each temperature sensor preset inside each floor; Obtain the sensor deployment log corresponding to the target building, obtain the relative position of each temperature sensor inside each floor of the target building through the sensor deployment log, match the relative position of each temperature sensor inside each floor with the relative position of each monitoring device inside each floor and the monitoring area, obtain each temperature sensor corresponding to each monitoring area inside each floor, and record the weighted average temperature of each temperature sensor corresponding to each monitoring area as the internal temperature corresponding to each monitoring area inside each floor; The external environmental information corresponding to the target building and the internal temperature corresponding to each monitoring area inside each floor are recorded as the environmental information set corresponding to the target building, and the time point of establishing the environmental information set corresponding to the target building is obtained and recorded as the data monitoring time point.

3. The building energy-saving control system based on intelligent design analysis according to claim 1 is characterized in that: The specific implementation method of the device working parameter acquisition module is as follows: Obtain lighting equipment status data, ventilation equipment operation data and temperature control equipment operation data inside each floor of the target building through the integrated control platform, wherein the lighting equipment status data inside each floor includes the lighting power corresponding to each lighting equipment inside each floor; The ventilation equipment operation data includes the ventilation volume and equipment power of each ventilation equipment corresponding to each floor, and the total ventilation volume and total equipment power corresponding to each floor are obtained; The temperature control equipment operation data includes the temperature setting value of the temperature control equipment corresponding to each monitoring area inside each floor; The lighting equipment status data, ventilation equipment operation data and temperature control equipment operation data inside each floor of the target building are recorded as the equipment working parameter set inside each floor of the target building.

4. The building energy-saving control system based on intelligent design analysis according to claim 2 is characterized in that: The specific implementation method of the intelligent control analysis module is as follows: The actual internal and external temperature difference corresponding to each monitoring area on each floor is obtained by calculating the external temperature corresponding to the target building and the internal temperature corresponding to each monitoring area on each floor; The temperature control deviation of the temperature control equipment corresponding to each monitoring area in each floor is obtained by performing data calculation based on the temperature setting value of the temperature control equipment corresponding to each monitoring area in each floor and the internal temperature corresponding to each monitoring area; Extract the ventilation volume and equipment power change curve corresponding to the ventilation equipment stored in the database; Obtain the historical monitoring information of each monitoring device inside each floor of the target building and perform data analysis to obtain the increase ratio of the floating population and the increase ratio of the permanent population corresponding to each monitoring area on each floor at the data monitoring point. Perform data analysis on the increase ratio of the floating population and the increase ratio of the permanent population corresponding to each monitoring area on each floor at the data monitoring point and the total floating population and the total permanent population corresponding to each monitoring area inside each floor to obtain the increase ratio of the total floating population and the total permanent population corresponding to each floor; By calculating the formula , calculate the corresponding additional ventilation volume for each floor ,in , They are respectively expressed as the increase ratio of the total floating population and the total permanent population corresponding to each floor. Indicates the number of each floor. It is expressed as the total ventilation volume corresponding to each floor; A data model is established by using the newly added ventilation volume corresponding to each floor, the ventilation volume and equipment power change curve corresponding to the ventilation equipment, and the ventilation volume and equipment power corresponding to each ventilation equipment on each floor. The data model divides the newly added ventilation volume corresponding to each floor into sub-new ventilation volumes of different sizes, and allocates each sub-new ventilation volume to each vent corresponding to each floor, so that the total equipment power of each vent corresponding to each floor is minimized, and the newly added ventilation volume of each vent corresponding to each floor is screened, and the newly added ventilation volume of each vent corresponding to each floor of the target building is recorded as the ventilation control result of each floor of the target building; By calculating the formula , calculate the influence coefficient of the change of human flow on the temperature in each monitoring area of ​​each floor ; By calculating the formula , calculate the influence coefficient of ventilation volume on temperature of each floor corresponding to each monitoring area ; Obtain the direct illumination area of ​​each monitoring area on each floor of the target building through the architectural design plan corresponding to the target building; , calculate the influence coefficient of light on temperature of each floor corresponding to each monitoring area ,in , They are respectively expressed as the increase ratio of the number of mobile people and the increase ratio of the number of permanent people in each monitoring area on each floor. It is expressed as the actual internal and external temperature difference corresponding to each monitoring area inside each floor. Represented as the external light intensity corresponding to the target building, The direct illumination area of ​​each monitoring area on each floor, Indicates the number of each monitoring area. It is represented by the number of each monitoring area on each floor; By calculating the formula , calculate the temperature that needs to be controlled in each monitoring area on each floor ,in It is expressed as the internal temperature corresponding to each monitoring area inside each floor. It is expressed as the temperature control deviation of the temperature control equipment corresponding to each monitoring area in each floor, and the temperature to be regulated corresponding to each monitoring area in each floor is recorded as the temperature control result corresponding to each floor; By monitoring and processing the data using the preset light sensors at each lighting device, the average natural light intensity per unit time of each lighting device when all lighting devices are turned off can be obtained; Establish a data relationship between the equipment working parameter acquisition module and the database, extract the natural light intensity intervals corresponding to each natural light impact level stored in the database, and filter them based on the average natural light intensity per unit time of each lighting device when all lighting devices are turned off, to obtain the natural light impact level corresponding to each lighting device; Extract the natural light intensity and lighting brightness change curves corresponding to each natural light impact level stored in the database, and screen and obtain the natural light intensity and lighting brightness change curves corresponding to each lighting device; Extract the ideal lighting brightness corresponding to each usage function in the database, extract the lighting power versus lighting brightness curve stored in the database, and screen to obtain the ideal lighting brightness corresponding to each floor and the lighting brightness corresponding to each lighting device on each floor; A data model is established by using the natural light intensity and lighting brightness corresponding to each lighting device, the lighting brightness corresponding to each lighting device, the lighting power versus lighting brightness curve, the external light intensity corresponding to the target building, and the ideal lighting brightness corresponding to each floor. The lighting power control value of each lighting device corresponding to each floor is obtained through the data model so that the lighting power of each lighting device after control is equal to Corresponding to the ideal lighting brightness of each floor, the lighting power control value of each lighting device on each floor is recorded as the lighting control result corresponding to each floor; The ventilation control results, temperature control results and lighting control results corresponding to each floor are recorded as the intelligent control results corresponding to the target building.

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