An intelligent simulation experimental system for building light reception

Abstract

The present invention relates to the field of intelligent control technology, and discloses an intelligent simulation experiment system for building light exposure, comprising: obtaining biological collection information through biological collection of data collection, obtaining environmental collection information through environmental collection of data collection, simulating the ambient temperature and the ambient temperature of the building after being exposed to light through temperature simulation, collecting and simulating the ambient light, the ambient light source, light color, light intensity, light time, invisible light, etc. after the building is exposed to light through illumination simulation, and controlling life devices according to changes in the environmental collection information and the biological collection information, the life devices including windows, curtains, lights, air conditioners, etc. The intelligent simulation experiment system for building light exposure collects and summarizes data on user living habits, and controls the life devices according to the summarized data.

Description

Technical Field

[0001] The invention relates to the field of intelligent control technology, in particular to an intelligent simulation experimental system for building light reception. Background Art

[0002] The light intelligent simulation experiment system is a system used to simulate the lighting effects of buildings under different sunlight conditions. It is mainly used in the fields of architectural design, lighting design and energy management. It mainly involves optical theory, sun position algorithm, light sensor technology, computer simulation technology and data processing and analysis technology. The combination of these technologies can realize accurate simulation and evaluation of building lighting effects.

[0003] The system needs to simulate the propagation and attenuation of light based on optical theory. Optical theory can help the system calculate the intensity and direction of light at different locations in the building, as well as the distribution of light projected on the walls, floors and ceilings. The system needs to accurately calculate the position and altitude of the sun to determine the lighting conditions under different sunlight conditions. The sun position algorithm can calculate the position of the sun based on date, time and location information. Taking into account factors such as the rotation and revolution of the earth, the system uses light sensors to measure the light intensity indoors, outdoors and on the surface of buildings. The light sensor can convert the light intensity into electrical signals and transmit them to the system for processing and analysis. The system uses computer simulation technology to generate a light distribution model inside and around the building. Computer simulation technology can numerically simulate and simulate the propagation process of light in the building based on optical theory and the sun position algorithm. The system needs to process and analyze the acquired light data to generate lighting effect simulation results. Data processing and analysis technology can perform statistics, visualization and evaluation on light intensity, light distribution and lighting effects.

[0004] Existing systems mostly focus on the building itself, but do not adequately consider the users within the building, and are not sufficiently integrated with actual usage. Therefore, their practicality has certain limitations. Summary of the invention

[0005] The present invention provides an intelligent simulation experiment system for building light reception, which promotes solving the intelligent control process mentioned in the above background technology. The system collects data on the indoor and outdoor environments of the user's living environment through environmental data collection, and collects data on the user's own living habits through biological data collection. According to the collected data information, the data on the user's living habits are integrated, and through temperature simulation and light simulation, the temperature and light of the indoor and outdoor environments of the building after the building is illuminated are collected and simulated. According to the data collection of light source, light color, light intensity, light time, and invisible light, a light simulation control strategy is formed. Combined with the data on the user's living habits, a summer sunny day control strategy, a summer rainy day control strategy, a winter sunny day control strategy, a winter rainy day control strategy, and a spring and autumn season control strategy are formed respectively, so that life devices are controlled through a control module.

[0006] The present invention provides the following technical solution: an intelligent simulation experimental system for building light reception, comprising:

[0007] Obtaining biometric information through biometric collection for data collection;

[0008] Obtain environmental collection information through environmental collection of data collection;

[0009] Through temperature simulation, the ambient temperature and the ambient temperature of the building after being illuminated are simulated;

[0010] Through lighting simulation, the ambient lighting, the ambient light source after the building is illuminated, the light color, the light intensity, the lighting time, the invisible light, etc. are collected and simulated;

[0011] Control life devices according to changes in environmental and biological information;

[0012] The living devices include windows, curtains, lights, air conditioners, etc.

[0013] As an optional solution of the building light intelligent simulation experiment system of the present invention, the biological collection information includes the user's daily routine, the user's sleeping status, the user's living status, and the user's living habits; the environmental collection information includes the light reflection of indoor objects, indoor environmental sounds, and outdoor environmental sounds. The biological collection information and the environmental collection information are integrated, and the life devices are controlled according to the integrated information;

[0014] The user's daily routine includes getting up, washing, sleeping, etc.;

[0015] The user's sleep status includes deep sleep, light sleep, about to fall asleep, about to wake up, etc.;

[0016] The user's living conditions include reading, writing, labor, entertainment, etc.;

[0017] The user's living habits include sleeping time, habitual time to open windows for ventilation, habitual degree of opening and closing of windows for ventilation, habitual ambient temperature, habitual time to turn on lights, etc.

[0018] As an optional solution of the intelligent simulation experiment system for building light reception described in the present invention, wherein: the lighting simulation includes lighting collection, and the lighting collection includes light source collection, light color collection, light intensity collection, lighting time collection, and invisible light collection. Light collection information is integrated according to the lighting collection, and the lighting collection information includes light source, light color, light intensity, lighting time, and invisible light. A lighting simulation control strategy is made according to the integrated lighting collection information, and life devices are controlled according to the lighting simulation control strategy.

[0019] As an optional solution of the building light intelligent simulation experiment system of the present invention, when the light intensity is strong, the temperature is high, and the light time is long, a summer sunny day control strategy is formed;

[0020] When the summer sunny day control strategy is implemented, the living devices are in a state of ventilation and indoor cooling as a whole, that is, the curtains are automatically opened after the user wakes up, the windows are automatically opened for ventilation after the user goes out, the windows are automatically closed and the air conditioner is turned on for indoor cooling before the user returns home, and the lights are gradually turned on when it gets dark in the evening;

[0021] The summer sunny day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes strong light intensity, high temperature, long light time, etc.;

[0022] The biological information collected by the summer sunny day control strategy is that the user gets up early, washes quickly, goes to bed late, and has a short sleep time, etc.;

[0023] The environmental information collected by the summer sunny day control strategy includes the strong light reflection degree of indoor objects, the long light reflection time of indoor objects, the large number of insect sounds in the outdoor environmental sounds, etc.

[0024] As an optional solution of the building light intelligent simulation experiment system of the present invention, when the light intensity is strong, the temperature is high, and the light time is long, a summer rainy day control strategy is formed;

[0025] When the summer rainy day control strategy is implemented, the living devices are in a semi-ventilated state as a whole, and the indoor temperature is lowered. That is, the curtains are automatically opened after the user wakes up, and the windows are automatically opened for ventilation according to the degree of rain after the user goes out. Before the user returns home, it is automatically determined whether to turn on the air conditioner for indoor cooling according to the user's living habits, and the lights are gradually turned on when it gets dark in the evening.

[0026] The summer rainy day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes strong light intensity, high temperature, long light time, etc.;

[0027] The biological collection information of the summer rainy day control strategy is the same as that of the summer sunny day control strategy;

[0028] The environmental information collected by the summer rainy day control strategy includes that the light reflection degree of indoor objects is strong, the light reflection time of indoor objects is long, and there are many and strong insect sounds in the outdoor environment.

[0029] As an optional solution of the building light intelligent simulation experiment system of the present invention, when the light intensity is weak, the temperature is low, and the light time is short, a winter sunny day control strategy is formed;

[0030] When the winter sunny day control strategy is implemented, the living devices are in a state of ventilation and indoor heating, that is, the curtains are automatically opened after the user wakes up, the windows are automatically opened for ventilation after the user goes out, the windows are automatically closed and the air conditioner is turned on to heat the room before the user returns home, and the lights are gradually turned on when it gets dark in the evening;

[0031] The winter sunny day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes weak light intensity, low temperature, short light time, etc.;

[0032] The biological information collected by the winter sunny day control strategy is that the user gets up late, washes slowly, goes to bed early, and sleeps for a long time;

[0033] The environmental collection information of the winter sunny day control strategy is that the light reflection degree of indoor objects is weak, the light reflection time of indoor objects is short, the outdoor environment sound is quiet, etc.

[0034] As an optional solution of the building light intelligent simulation experiment system of the present invention, when the light intensity is weak, the temperature is low, and the light time is short, a winter rainy and snowy day control strategy is formed.

[0035] When implementing the winter rainy and snowy day control strategy, the living devices are kept as close to ventilation as possible and the indoor temperature is increased. That is, the curtains are automatically opened after the user wakes up, the windows are automatically opened a little for short ventilation after the user goes out, all windows are automatically closed before the user returns home, the air conditioner is turned on to increase the indoor temperature, and the lights are gradually turned on when it gets dark in the evening.

[0036] The winter rainy and snowy day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes weak light intensity, low temperature, short light time, etc.;

[0037] The biological collection information of the winter rainy and snowy day control strategy is the same as that of the winter sunny day control strategy;

[0038] The environmental information collected by the winter rainy and snowy day control strategy is that the light reflection degree of indoor objects is weak, the light reflection time of indoor objects is short, and the outdoor environment is quiet.

[0039] As an optional solution of the building light intelligent simulation experimental system of the present invention, when the light intensity is normal, the temperature is moderate, and the light time is average, a spring and autumn season control strategy is formed;

[0040] When the spring and autumn season control strategy is implemented, the living devices are kept in a state of ventilation and normal indoor temperature. That is, the curtains are opened automatically after the user wakes up, and the windows are opened automatically for ventilation after the user gets up. The air conditioner will not be turned on. The ventilation is almost all day long, and the lights are gradually turned on when it gets dark in the evening.

[0041] The spring and autumn season control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes general light intensity, moderate temperature, average light time, etc.;

[0042] The biological information collected by the spring and autumn season control strategy is that the user wakes up normally, washes at a moderate speed, sleeps normally, and sleeps for an average amount of time, etc.;

[0043] The environmental information collected by the spring and autumn season control strategy includes the general light reflection degree of indoor objects, the average light reflection time of indoor objects, the presence of insect sounds in the outdoor environment but not noisy, etc.

[0044] As an optional solution of the building light receiving intelligent simulation experiment system of the present invention, the temperature simulation collects and simulates the outdoor and indoor temperatures through the temperature sensor, collects the user's living habits and controls the living devices according to the combination of biological collection information and temperature simulation;

[0045] The control module includes a data processor and a data storage device, which stores and processes the collected data information, integrates the information, finds out the user's living habit data from the information and stores it, and controls the living devices according to the user's living habits.

[0046] The present invention has the following beneficial effects:

[0047] 1. The building's light-receiving intelligent simulation experiment system collects data on the indoor and outdoor environments of the user's living environment through environmental data collection, and collects data on the user's own living habits through biological data collection.

[0048] 2. The intelligent simulation experiment system for building light reception collects and simulates the temperature and light of the indoor and outdoor environment after the building is illuminated through temperature simulation and light simulation. It forms a light simulation control strategy based on the data collection of light source, light color, light intensity, light time, and invisible light.

[0049] 3. The building's light-sensitive intelligent simulation experimental system forms summer sunny day control strategies, summer rainy day control strategies, winter sunny day control strategies, winter rainy day control strategies, and spring and autumn season control strategies based on environmental collection information, biological collection information, and light collection information, thereby controlling life devices through control modules. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a block diagram of the intelligent simulation experimental system for building light reception according to the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] In the related technology, the system collects data on the indoor and outdoor environments of the user's living environment through environmental data collection, and collects data on the user's own living habits through biological data collection. According to the collected data information, the data on the user's living habits is integrated, and the temperature and light environment of the indoor and outdoor environment of the building after being illuminated is collected and simulated through temperature simulation and light simulation. According to the data collection of light source, light color, light intensity, light time, and invisible light, a light simulation control strategy is formed. Combined with the data on the user's living habits, summer sunny day control strategy, summer rainy day control strategy, winter sunny day control strategy, winter rainy day control strategy, and spring and autumn season control strategy are formed respectively, so as to control life devices through the control module.

[0053] Among them, biological collection information includes user's daily routine, user's sleep status, user's living conditions, and user's living habits. Environmental collection information includes light reflection of indoor objects, indoor environmental sounds, and outdoor environmental sounds. The biological collection information and environmental collection information are integrated to control life devices based on the integrated information.

[0054] Among them, lighting simulation includes lighting collection, which includes light source collection, light color collection, light intensity collection, lighting time collection, and invisible light collection. Light collection information is integrated according to the lighting collection. The lighting collection information includes light source, light color, light intensity, lighting time, and invisible light. A lighting simulation control strategy is made based on the integrated lighting collection information, and life devices are controlled according to the lighting simulation control strategy.

[0055] Among them, the control strategy mainly controls and changes ventilation, room temperature, indoor lighting, etc. according to the external environment and users' own habits.

[0056] Example

[0057] An intelligent simulation experiment system for building light reception, comprising:

[0058] Obtaining biometric information through biometric collection for data collection;

[0059] Obtain environmental collection information through environmental collection of data collection;

[0060] Through temperature simulation, the ambient temperature and the ambient temperature of the building after being illuminated are simulated;

[0061] Through lighting simulation, the ambient lighting, the ambient light source after the building is illuminated, the light color, the light intensity, the lighting time, the invisible light, etc. are collected and simulated;

[0062] Control life devices according to changes in environmental and biological information;

[0063] The living devices include windows, curtains, lights, air conditioners, etc.

[0064] The biological information includes the user's daily routine, sleep status, living status, and living habits. The environmental information includes the light reflection of indoor objects, indoor environmental sounds, and outdoor environmental sounds. The biological information and environmental information are integrated to control the living devices according to the integrated information.

[0065] The user's daily routine includes getting up, washing, sleeping, etc.;

[0066] The user's sleep status includes deep sleep, light sleep, about to fall asleep, about to wake up, etc.;

[0067] The user's living conditions include reading, writing, labor, entertainment, etc.;

[0068] The user's living habits include sleeping time, habitual time to open windows for ventilation, habitual degree of opening and closing of windows for ventilation, habitual ambient temperature, habitual time to turn on lights, etc.

[0069] The building light intelligent simulation experiment system, the lighting simulation includes lighting collection, the lighting collection includes light source collection, light color collection, lighting intensity collection, lighting time collection, invisible light collection, according to the lighting collection, the lighting collection information is integrated, the lighting collection information includes light source, light color, light intensity, lighting time, invisible light, according to the integrated lighting collection information, a lighting simulation control strategy is made, and the life devices are controlled according to the lighting simulation control strategy.

[0070] In this embodiment, when the light intensity is strong, the temperature is high, and the light duration is long, a summer sunny day control strategy is formed;

[0071] When the summer sunny day control strategy is implemented, the living devices are in a state of ventilation and indoor cooling as a whole, that is, the curtains are automatically opened after the user wakes up, the windows are automatically opened for ventilation after the user goes out, the windows are automatically closed and the air conditioner is turned on for indoor cooling before the user returns home, and the lights are gradually turned on when it gets dark in the evening;

[0072] The summer sunny day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes strong light intensity, high temperature, long light time, etc.;

[0073] The biological information collected by the summer sunny day control strategy is that the user gets up early, washes quickly, goes to bed late, and has a short sleep time, etc.;

[0074] The environmental information collected by the summer sunny day control strategy includes the strong light reflection degree of indoor objects, the long light reflection time of indoor objects, the large number of insect sounds in the outdoor environmental sounds, etc.

[0075] When the light intensity is strong, the temperature is high, and the light duration is long, a summer rainy day control strategy is formed;

[0076] When the summer rainy day control strategy is implemented, the living devices are in a semi-ventilated state as a whole, and the indoor temperature is lowered. That is, the curtains are automatically opened after the user wakes up, and the windows are automatically opened for ventilation according to the degree of rain after the user goes out. Before the user returns home, it is automatically determined whether to turn on the air conditioner for indoor cooling according to the user's living habits, and the lights are gradually turned on when it gets dark in the evening.

[0077] The summer rainy day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes strong light intensity, high temperature, long light time, etc.;

[0078] The biological collection information of the summer rainy day control strategy is the same as that of the summer sunny day control strategy;

[0079] The environmental information collected by the summer rainy day control strategy includes that the light reflection degree of indoor objects is strong, the light reflection time of indoor objects is long, and there are many and strong insect sounds in the outdoor environment.

[0080] In this embodiment, when the light intensity is weak, the temperature is low, and the light time is short, a winter sunny day control strategy is formed;

[0081] When the winter sunny day control strategy is implemented, the living devices are in a state of ventilation and indoor heating, that is, the curtains are automatically opened after the user wakes up, the windows are automatically opened for ventilation after the user goes out, the windows are automatically closed and the air conditioner is turned on to heat the room before the user returns home, and the lights are gradually turned on when it gets dark in the evening;

[0082] The winter sunny day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes weak light intensity, low temperature, short light time, etc.;

[0083] The biological information collected by the winter sunny day control strategy is that the user gets up late, washes slowly, goes to bed early, and sleeps for a long time;

[0084] The environmental collection information of the winter sunny day control strategy is that the light reflection degree of indoor objects is weak, the light reflection time of indoor objects is short, the outdoor environment sound is quiet, etc.

[0085] When the light intensity is weak, the temperature is low, and the light time is short, a control strategy for rainy and snowy days in winter is formed.

[0086] When implementing the winter rainy and snowy day control strategy, the living devices are kept as close to ventilation as possible and the indoor temperature is increased. That is, the curtains are automatically opened after the user wakes up, the windows are automatically opened a little for short ventilation after the user goes out, all windows are automatically closed before the user returns home, the air conditioner is turned on to increase the indoor temperature, and the lights are gradually turned on when it gets dark in the evening.

[0087] The winter rainy and snowy day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes weak light intensity, low temperature, short light time, etc.;

[0088] The biological collection information of the winter rainy and snowy day control strategy is the same as that of the winter sunny day control strategy;

[0089] The environmental information collected by the winter rainy and snowy day control strategy is that the light reflection degree of indoor objects is weak, the light reflection time of indoor objects is short, and the outdoor environment is quiet.

[0090] In this embodiment, when the light intensity is average, the temperature is moderate, and the light time is average, a spring and autumn season control strategy is formed;

[0091] When the spring and autumn season control strategy is implemented, the living devices are kept in a state of ventilation and normal indoor temperature. That is, the curtains are opened automatically after the user wakes up, and the windows are opened automatically for ventilation after the user gets up. The air conditioner will not be turned on. The ventilation is almost all day long, and the lights are gradually turned on when it gets dark in the evening.

[0092] The spring and autumn season control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes general light intensity, moderate temperature, average light time, etc.;

[0093] The biological information collected by the spring and autumn season control strategy is that the user wakes up normally, washes at a moderate speed, sleeps normally, and sleeps for an average amount of time, etc.;

[0094] The environmental information collected by the spring and autumn season control strategy includes the general light reflection degree of indoor objects, the average light reflection time of indoor objects, the presence of insect sounds in the outdoor environment but not noisy, etc.

[0095] This embodiment also provides that the temperature simulation collects and simulates outdoor and indoor temperatures through a temperature sensor, collects user living habits based on the combination of biological collection information and temperature simulation, and controls living devices;

[0096] The control module includes a data processor and a data storage device, which stores and processes the collected data information, integrates the information, finds out the user's living habit data from the information and stores it, and controls the living devices according to the user's living habits.

[0097] The embodiment of the present disclosure also provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the building light intelligent simulation experiment system in the aforementioned method embodiment.

[0098] It should be noted that more specific examples of computer-readable storage media may include portable computer disks, hard disks, erasable programmable read-only memories (EPROMs or flash memories), optical storage devices, magnetic storage devices, or any suitable combination thereof. In the present disclosure, computer-readable storage media may be any tangible medium that contains or stores a program, which may be used by or in conjunction with an instruction execution system, apparatus, or device, and the computer-readable medium may be contained in the electronic device; or it may exist independently without being assembled into the electronic device.

[0099] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device can implement the solution provided by the method embodiment.

[0100] Computer program code for performing operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, and may be executed entirely on a user's computer, partially on a user's computer, as a stand-alone software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0101] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0102] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An intelligent simulation experimental system for building light reception, characterized in that: include: Obtaining biometric information through biometric collection for data collection; Obtain environmental collection information through environmental collection of data collection; Through temperature simulation, the ambient temperature and the ambient temperature of the building after being illuminated are simulated; Through lighting simulation, the ambient lighting, the ambient light source after the building is illuminated, the light color, the light intensity, the lighting time, the invisible light, etc. are collected and simulated; Control life devices according to changes in environmental and biological information; The living devices include windows, curtains, lights, air conditioners, etc.

2. The building light receiving intelligent simulation experiment system according to claim 1 is characterized by: The biological information includes the user's daily routine, sleep status, living status, and living habits. The environmental information includes the light reflection of indoor objects, indoor environmental sounds, and outdoor environmental sounds. The biological information and environmental information are integrated to control the living devices according to the integrated information. The user's daily routine includes getting up, washing, sleeping, etc.; The user's sleep status includes deep sleep, light sleep, about to fall asleep, about to wake up, etc.; The user's living conditions include reading, writing, labor, entertainment, etc.; The user's living habits include sleeping time, habitual time to open windows for ventilation, habitual degree of opening and closing of windows for ventilation, habitual ambient temperature, habitual time to turn on lights, etc.

3. The building light receiving intelligent simulation experiment system according to claim 1 is characterized by: The lighting simulation includes lighting collection, which includes light source collection, light color collection, light intensity collection, lighting time collection, and invisible light collection. Light collection information is integrated according to the lighting collection. The lighting collection information includes light source, light color, light intensity, lighting time, and invisible light. A lighting simulation control strategy is made based on the integrated lighting collection information, and life devices are controlled according to the lighting simulation control strategy.

4. The building light receiving intelligent simulation experiment system according to claim 3 is characterized by: When the light intensity is strong, the temperature is high, and the light duration is long, a summer sunny day control strategy is formed; When the summer sunny day control strategy is implemented, the living devices are in a state of ventilation and indoor cooling as a whole, that is, the curtains are automatically opened after the user wakes up, the windows are automatically opened for ventilation after the user goes out, the windows are automatically closed and the air conditioner is turned on for indoor cooling before the user returns home, and the lights are gradually turned on when it gets dark in the evening; The summer sunny day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes strong light intensity, high temperature, long light time, etc.; The biological information collected by the summer sunny day control strategy is that the user gets up early, washes quickly, goes to bed late, and has a short sleep time, etc.; The environmental information collected by the summer sunny day control strategy includes strong light reflection degree of indoor objects, long light reflection time of indoor objects, and many insect sounds in the outdoor environment.

5. The building light receiving intelligent simulation experiment system according to claim 4 is characterized in that: When the light intensity is strong, the temperature is high, and the light duration is long, a summer rainy day control strategy is formed; When the summer rainy day control strategy is implemented, the living devices are in a semi-ventilated state as a whole, and the indoor temperature is lowered. That is, the curtains are automatically opened after the user wakes up, and the windows are automatically opened for ventilation according to the degree of rain after the user goes out. Before the user returns home, it is automatically determined whether to turn on the air conditioner for indoor cooling according to the user's living habits, and the lights are gradually turned on when it gets dark in the evening. The summer rainy day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes strong light intensity, high temperature, long light time, etc.; The biological collection information of the summer rainy day control strategy is the same as that of the summer sunny day control strategy; The environmental information collected by the summer rainy day control strategy includes that the light reflection degree of indoor objects is strong, the light reflection time of indoor objects is long, and there are many and strong insect sounds in the outdoor environment.

6. The building light receiving intelligent simulation experiment system according to claim 3 is characterized by: When the light intensity is weak, the temperature is low, and the light duration is short, a winter sunny day control strategy is formed; When the winter sunny day control strategy is implemented, the living devices are in a state of ventilation and indoor heating, that is, the curtains are automatically opened after the user wakes up, the windows are automatically opened for ventilation after the user goes out, the windows are automatically closed and the air conditioner is turned on to heat the room before the user returns home, and the lights are gradually turned on when it gets dark in the evening; The winter sunny day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes weak light intensity, low temperature, short light time, etc.; The biological information collected by the winter sunny day control strategy is that the user gets up late, washes slowly, goes to bed early, and sleeps for a long time; The environmental collection information of the winter sunny day control strategy is that the light reflection degree of indoor objects is weak, the light reflection time of indoor objects is short, the outdoor environment sound is quiet, etc.

7. The building light receiving intelligent simulation experiment system according to claim 6 is characterized by: When the light intensity is weak, the temperature is low, and the light time is short, a control strategy for rainy and snowy days in winter is formed. When implementing the winter rainy and snowy day control strategy, the living devices are kept as close to ventilation as possible and the indoor temperature is increased. That is, the curtains are automatically opened after the user wakes up, the windows are automatically opened a little for short ventilation after the user goes out, all windows are automatically closed before the user returns home, the air conditioner is turned on to increase the indoor temperature, and the lights are gradually turned on when it gets dark in the evening. The winter rainy and snowy day control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes weak light intensity, low temperature, short light time, etc.; The biological collection information of the winter rainy and snowy day control strategy is the same as that of the winter sunny day control strategy; The environmental information collected by the winter rainy and snowy day control strategy is that the light reflection degree of indoor objects is weak, the light reflection time of indoor objects is short, and the outdoor environment is quiet.

8. The building light receiving intelligent simulation experiment system according to claim 3 is characterized by: When the light intensity is average, the temperature is moderate, and the light duration is average, a spring and autumn control strategy is formed; When the spring and autumn season control strategy is implemented, the living devices are kept in a state of ventilation and normal indoor temperature. That is, the curtains are opened automatically after the user wakes up, and the windows are opened automatically for ventilation after the user gets up. The air conditioner will not be turned on. The ventilation is almost all day long, and the lights are gradually turned on when it gets dark in the evening. The spring and autumn season control strategy controls the life devices through the control module according to the biological collection information, environmental collection information, and light collection information, and the light collection information includes general light intensity, moderate temperature, average light time, etc.; The biological information collected by the spring and autumn season control strategy is that the user wakes up normally, washes at a moderate speed, sleeps normally, and sleeps for an average amount of time, etc.; The environmental information collected by the spring and autumn season control strategy includes the general light reflection degree of indoor objects, the average light reflection time of indoor objects, the presence of insect sounds in the outdoor environment but not noisy, etc.

9. The building light receiving intelligent simulation experiment system according to claim 1 is characterized by: The temperature simulation collects and simulates outdoor and indoor temperatures through temperature sensors, collects user living habits based on the combination of biological collection information and temperature simulation, and controls living devices; The control module includes a data processor and a data storage device, which stores and processes the collected data information, integrates the information, finds out the user's living habit data from the information and stores it, and controls the living devices according to the user's living habits.

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