A method for controlling intelligent doors and windows with adjustable brightness

Abstract

The present invention provides a method for controlling intelligent doors and windows with adjustable brightness, which relates to the field of smart home and is applied to a server end, wherein the server end is connected to a photosensitive device and a temperature and humidity sensor in communication, and comprises: determining first decision information according to indoor photosensitive information and outdoor photosensitive information; determining second decision information according to outdoor temperature sensor information and expected indoor temperature; determining third decision information according to outdoor humidity sensor information and expected indoor humidity; optimizing light transmission control according to the first decision information to obtain a first control scheme; optimizing door and window opening and closing control according to the first decision information, the second decision information and the third decision information to obtain a second control scheme; and controlling doors and windows according to the first control scheme and the second control scheme. The method solves the technical problem that the door and window control in the prior art is limited to voice control and lacks adaptive adjustment based on scenes.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home, and in particular to a method for controlling smart doors and windows with adjustable brightness. Background Art

[0002] With the improvement of living standards, smart homes are developing rapidly, and improving user experience and comfort has become the goal of smart homes.

[0003] A Chinese patent for a sound-controlled door and window opening and closing device (publication number: CN102305010A) discloses the following technical features: including a position sensor, a moving part, a control device, an environmental sensor, and also including a sound sensing device, a sound recognition unit, and a signal conversion unit. The output end of the position sensor, the environmental sensor, and the signal conversion unit are electrically connected to the input end of the control device, the moving part is connected to the control device, the output end of the sound sensing device is electrically connected to the input end of the sound recognition unit, and the output end of the sound recognition unit is electrically connected to the input end of the signal conversion unit; the moving part includes a limit switch, a moving circuit, and a linear reluctance motor, the output end of the limit switch is electrically connected to the input end of the control device, the output end of the control device is electrically connected to the input end of the drive circuit, and the output end of the drive circuit is electrically connected to the output end of the linear reluctance motor and the input end of the control device. The present invention directly controls the opening of doors and windows through voice commands, and controls the degree of opening of doors and windows through environmental sensors. It is simple to operate and easy to use, and is suitable for home use.

[0004] In the above-mentioned prior art, the door and window control is limited to voice control, lacks the technical problem of adaptive adjustment according to the scene, and lacks the technical effect of adaptive adjustment according to the scene. Summary of the invention

[0005] The present application provides a smart door and window control method with adjustable brightness, which is used to solve the technical problem that the door and window control in the prior art is limited to voice control and lacks adaptive adjustment according to the scene.

[0006] In view of the above problems, the present application provides a smart door and window control method with adjustable brightness.

[0007] The present application provides a method for controlling intelligent doors and windows with adjustable brightness, which is applied to a server, and the server is communicatively connected with a photoreceptor and a temperature and humidity sensor, and includes: receiving photosensitive sensing information from the photoreceptor, wherein the photosensitive sensing information includes indoor photosensitive information and outdoor photosensitive information; determining first decision information according to the indoor photosensitive information and the outdoor photosensitive information; receiving temperature sensing information and humidity sensing information from the temperature and humidity sensor, wherein the temperature sensing information includes outdoor temperature sensing information and outdoor humidity sensing information; determining second decision information according to the outdoor temperature sensing information and the expected indoor temperature; determining third decision information according to the outdoor humidity sensing information and the expected indoor humidity; optimizing light transmittance control according to the first decision information to obtain a first control scheme; optimizing door and window opening and closing control according to the first decision information, the second decision information and the third decision information to obtain a second control scheme; and controlling doors and windows according to the first control scheme and the second control scheme.

[0008] Further, determining first decision information according to the indoor light sensing information and the outdoor light sensing information includes:

[0009] When the indoor light-sensing information is stronger than the outdoor light-sensing information, generating a transparency adjustment instruction;

[0010] adding the indoor light-sensing information, the outdoor light-sensing information and the transparency adjustment instruction into the first decision information;

[0011] When the indoor light-sensing information is weaker than the outdoor light-sensing information, generating a brightness adjustment instruction and a transparency adjustment instruction;

[0012] The indoor light-sensing information, the outdoor light-sensing information, the brightness adjustment instruction and the transparency adjustment instruction are added into the first decision information.

[0013] Further, determining second decision information according to the outdoor temperature sensing information and the expected indoor temperature includes:

[0014] When the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is greater than the outdoor temperature sensing information, obtaining a door and window opening instruction;

[0015] When the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is less than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction;

[0016] When the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is lower than the outdoor temperature sensing information, obtaining a door and window opening instruction;

[0017] When the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is greater than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction;

[0018] The door and window opening instruction or the door and window closing instruction is added into the second decision information.

[0019] Further, according to the outdoor humidity sensing information and the expected indoor humidity, third decision information is determined, including:

[0020] When the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is greater than the outdoor humidity sensor information, obtaining a door and window opening instruction;

[0021] When the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is less than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction;

[0022] When the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is less than the outdoor humidity sensor information, obtaining a door and window opening instruction;

[0023] When the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is greater than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction;

[0024] The door and window opening instruction or the door and window closing instruction is added into the third decision information.

[0025] Further, performing light transmission control optimization according to the first decision information to obtain a first control solution includes:

[0026] According to the first decision information, a first adjustment parameter is acquired, wherein the first adjustment parameter includes door and window brightness and / or window transparency;

[0027] Construct a window brightness decision function:

[0028] L1=k1*(R(T)*E1+T*E2+E3);

[0029] Among them, l1 represents the brightness of the window, T represents the transparency of the window, R(T) represents the light reflection coefficient that changes with the transparency of the window, E1 represents the indoor light intensity, E2 represents the outdoor light intensity, E3 represents the light intensity of the window itself, and k1 represents the brightness loss coefficient of the statistical analysis;

[0030] Construct the gate brightness decision function:

[0031] L2=k2*(R2*E1+E4);

[0032] Among them, L2 represents the brightness of the door, R2 represents the light reflection coefficient of the door, E1 represents the indoor light intensity, E4 represents the light intensity of the door itself, and k2 represents the brightness loss coefficient of statistical analysis;

[0033] Matching the desired transparency of windows and / or the desired brightness of doors and windows according to the first light intensity deviation between the indoor light sensing information and the outdoor light sensing information;

[0034] The first control scheme is generated according to the desired transparency of the window and the desired brightness of the door and window, combined with the window brightness decision function and the door brightness decision function.

[0035] Further, optimizing the door and window opening and closing control according to the first decision information, the second decision information and the third decision information to obtain a second control solution includes:

[0036] Setting a first priority for the second decision information, setting a second priority for the third decision information, and setting a third priority for the first decision information;

[0037] The first decision information, the second decision information and the third decision information are fitted according to the first priority, the second priority and the third priority to obtain the second control scheme.

[0038] Further, fitting the first decision information, the second decision information, and the third decision information according to the first priority, the second priority, and the third priority to obtain the second control scheme includes:

[0039] When the first decision information, the second decision information and the third decision information are simultaneously satisfied, directly acquiring the second control scheme;

[0040] When the first decision information, the second decision information and the third decision information conflict, the second decision information shall prevail;

[0041] When the first decision information conflicts with the second decision information, the second decision information shall prevail;

[0042] When the first decision information and the third decision information conflict, the third decision information shall prevail;

[0043] When the second decision information conflicts with the third decision information, the second decision information shall prevail. One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0044] The present application provides a method for controlling intelligent doors and windows with adjustable brightness, which is applied to a server, wherein the server is in communication with a photoreceptor and a temperature and humidity sensor, and comprises: receiving photosensitive sensing information from the photoreceptor, wherein the photosensitive sensing information comprises indoor photosensitive information and outdoor photosensitive information; determining first decision information according to the indoor photosensitive information and the outdoor photosensitive information; receiving temperature sensing information and humidity sensing information from the temperature and humidity sensor, wherein the temperature sensing information comprises outdoor temperature sensing information and outdoor humidity sensing information; determining second decision information according to the outdoor temperature sensing information and the expected indoor temperature; determining third decision information according to the outdoor humidity sensing information and the expected indoor humidity; optimizing light transmission control according to the first decision information to obtain a first control scheme; optimizing door and window opening and closing control according to the first decision information, the second decision information and the third decision information to obtain a second control scheme; a technical scheme for controlling doors and windows according to the first control scheme and the second control scheme solves the technical problem that the door and window control in the prior art is limited to voice control and lacks adaptive adjustment based on scenes, and achieves the technical effect of realizing adaptive adjustment based on scenes. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of a process flow of a smart door and window control method with adjustable brightness provided in this application;

[0046] Figure 2 A schematic diagram of a process for obtaining first decision information in a method for controlling intelligent doors and windows with adjustable brightness provided in the present application;

[0047] Figure 3 A schematic diagram of the structure of an intelligent door and window control system with adjustable brightness provided in this application.

[0048] Explanation of the reference numerals: server 001 , photosensor 002 , temperature and humidity sensor 003 , first receiving unit 11 , first acquiring unit 12 , second receiving unit 13 , second acquiring unit 14 , third acquiring unit 15 , first optimization unit 16 , second optimization unit 17 , first control unit 18 . DETAILED DESCRIPTION

[0049] The present application provides an intelligent door and window control method with adjustable brightness, which is used to solve the technical problem that door and window control in the prior art is mostly limited to voice control.

[0050] Embodiment 1:

[0051] like Figure 1 As shown, the present application provides a method for controlling intelligent doors and windows with adjustable brightness, which is applied to a server, wherein the server is connected to a photoreceptor and a temperature and humidity sensor in communication, and comprises the following steps:

[0052] Specifically, the server refers to a processing end for implementing any step of a method for controlling intelligent doors and windows with adjustable brightness, including a memory and a processor, the memory is used to store the code of any step of a method for controlling intelligent doors and windows with adjustable brightness, and the processor is used to retrieve the code of any step of a method for controlling intelligent doors and windows with adjustable brightness stored in the memory for execution, so as to realize the function of any step of a method for controlling intelligent doors and windows with adjustable brightness. It is connected to a photoreceptor for collecting light intensity and a temperature and humidity sensor for collecting temperature and humidity by wired communication, or wireless communication, such as Bluetooth connection, or communication network connection.

[0053] S10: receiving light sensing information from a photoreceptor, wherein the light sensing information includes indoor light sensing information and outdoor light sensing information;

[0054] Specifically, the photosensor information refers to the light intensity sensing information of any room collected by the photosensor, including indoor photosensor information representing the indoor light intensity, and outdoor photosensor information representing the outdoor light intensity.

[0055] S20: determining first decision information according to the indoor light sensing information and the outdoor light sensing information;

[0056] Further, such as Figure 2 As shown, according to the indoor light sensing information and the outdoor light sensing information, the first decision information is determined, and step S20 includes the steps of:

[0057] S21: When the indoor light-sensing information is stronger than the outdoor light-sensing information, generating a transparency adjustment instruction;

[0058] S22: adding the indoor light-sensing information, the outdoor light-sensing information and the transparency adjustment instruction into the first decision information;

[0059] S23: When the indoor light sensing information is weaker than the outdoor light sensing information, generating a brightness adjustment instruction and a transparency adjustment instruction;

[0060] S24: Add the indoor light-sensing information, the outdoor light-sensing information, the brightness adjustment instruction, and the transparency adjustment instruction into the first decision information.

[0061] Specifically, the first decision information refers to the first reference instruction for adjusting the door and window control, and the specific adjustment instruction is obtained as follows:

[0062] Case 1: When the indoor photosensitive information is stronger than the outdoor photosensitive information, that is, the indoor light intensity is greater than the outdoor light intensity, a transparency adjustment instruction is generated. The transparency adjustment instruction refers to adjusting the transparency of the window. In this state, the preferred transparency adjustment instruction is to reduce the transparency of the window to prevent outdoor personnel from seeing the user inside the window through the window.

[0063] Case 2: When the indoor light-sensing information is weaker than the outdoor light-sensing information, that is, the indoor light intensity is less than the outdoor light intensity, a brightness adjustment instruction and a transparency adjustment instruction are generated. The preferred brightness adjustment instruction refers to adjusting the brightness of doors and windows. Here, the activity characteristics of indoor personnel are collected by millimeter-wave radar. When the activity is non-sleeping, the preferred brightness adjustment instruction is to increase the brightness of doors and windows, and the transparency adjustment instruction is to increase transparency, so as to increase indoor light transmission; when the activity is sleeping, the preferred brightness adjustment instruction is to reduce the brightness of doors and windows, and the transparency adjustment instruction is to reduce transparency.

[0064] The indoor light-sensing information, the outdoor light-sensing information, the brightness adjustment instruction and the transparency adjustment instruction are added into the first decision information. At this time, it is only to determine the adjustment direction, which serves as the basic information for the brightness and transparency adjustment in the subsequent step.

[0065] S30: receiving temperature sensing information and humidity sensing information from a temperature and humidity sensor, wherein the temperature sensing information includes outdoor temperature sensing information, and the humidity sensing information includes outdoor humidity sensing information;

[0066] Specifically, the temperature sensing information and humidity sensing information of the temperature and humidity sensor are uploaded, the temperature sensing information includes outdoor temperature sensing information and indoor temperature sensing information, and the humidity sensing information includes outdoor humidity sensing information and indoor humidity sensing information.

[0067] S40: determining second decision information according to the outdoor temperature sensing information and the expected indoor temperature;

[0068] Further, according to the outdoor temperature sensing information and the expected indoor temperature, second decision information is determined, and step S40 includes the steps of:

[0069] S41: When the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is greater than the outdoor temperature sensing information, obtaining a door and window opening instruction;

[0070] S42: when the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is less than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction;

[0071] S43: when the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is lower than the outdoor temperature sensing information, obtaining a door and window opening instruction;

[0072] S44: when the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is higher than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction;

[0073] S44: Add the door and window opening instruction or the door and window closing instruction into the second decision information.

[0074] Specifically, the second decision information refers to the second reference instruction for adjusting the door and window control, which specifically includes the following situations:

[0075] Case 1: when the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is greater than the outdoor temperature sensing information, opening doors and windows is conducive to the indoor temperature approaching the expected indoor temperature, and thus a door and window opening instruction for instructing to open the doors and windows is obtained;

[0076] Case 2: when the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is less than or equal to the outdoor temperature sensing information, closing the doors and windows is conducive to the indoor temperature approaching the expected indoor temperature, and thus a door and window closing instruction instructing to close the doors and windows is obtained;

[0077] Case 3: when the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is greater than or equal to the outdoor temperature sensing information, closing doors and windows is conducive to the indoor temperature approaching the expected indoor temperature, and thus a door and window closing instruction instructing to close the doors and windows is obtained;

[0078] Case 4: When the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is lower than the outdoor temperature sensing information, opening doors and windows is conducive to the indoor temperature approaching the expected indoor temperature, and thus a door and window opening instruction is obtained to instruct opening the doors and windows.

[0079] The door and window opening instruction or the door and window closing instruction is added to the second decision information to indicate the subsequent door and window control.

[0080] S50: determining third decision information according to the outdoor humidity sensing information and the expected indoor humidity;

[0081] Further, according to the outdoor humidity sensing information and the expected indoor humidity, third decision information is determined, and step S50 includes the steps of:

[0082] S51: when the outdoor humidity sensing information is greater than the expected indoor humidity, and the indoor humidity sensing information is greater than the outdoor humidity sensing information, obtaining a door and window opening instruction;

[0083] S52: when the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is less than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction;

[0084] S53: when the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is less than the outdoor humidity sensor information, obtaining a door and window opening instruction;

[0085] S54: when the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is greater than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction;

[0086] S55: Add the door and window opening instruction or the door and window closing instruction into the third decision information.

[0087] Specifically, the third decision information refers to the second reference instruction for adjusting the door and window control, which specifically includes the following situations:

[0088] Case 1: when the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is greater than the outdoor humidity sensor information, opening doors and windows is conducive to the indoor humidity approaching the expected indoor humidity, and thus a door and window opening instruction for instructing to open the doors and windows is obtained;

[0089] Case 2: when the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is less than or equal to the outdoor humidity sensor information, closing the doors and windows is conducive to the indoor humidity approaching the expected indoor humidity, and thus a door and window closing instruction indicating closing the doors and windows is obtained;

[0090] Case 3: when the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is greater than or equal to the outdoor humidity sensor information, closing doors and windows is conducive to the indoor humidity approaching the expected indoor humidity, and thus a door and window closing instruction indicating closing the doors and windows is obtained;

[0091] Case 4: When the outdoor humidity sensor information is lower than the expected indoor humidity, and the indoor humidity sensor information is lower than the outdoor humidity sensor information, opening doors and windows is conducive to the indoor humidity approaching the expected indoor humidity, and thus a door and window opening instruction is obtained to instruct opening the doors and windows.

[0092] The door and window opening instruction or the door and window closing instruction is added into the third decision information to indicate the subsequent door and window control.

[0093] S60: performing light transmission control optimization according to the first decision information to obtain a first control solution;

[0094] Further, according to the first decision information, light transmission control optimization is performed to obtain a first control solution. Step S60 includes the following steps:

[0095] S61: acquiring a first adjustment parameter according to the first decision information, wherein the first adjustment parameter includes door and window brightness and / or window transparency;

[0096] S62: Construct window brightness decision function:

[0097] L1=k1*(R(T)*E1+T*E2+E3);

[0098] Among them, L1 represents the brightness of the window, T represents the transparency of the window, R(T) represents the light reflection coefficient that changes with the transparency of the window, E1 represents the indoor light intensity, E2 represents the outdoor light intensity, E3 represents the light intensity of the window itself, and k1 represents the brightness loss coefficient of statistical analysis;

[0099] S63: Construct gate brightness decision function:

[0100] L2=k2*(R2*E1+E4);

[0101] Among them, L2 represents the brightness of the door, R2 represents the light reflection coefficient of the door, E1 represents the indoor light intensity, E4 represents the light intensity of the door itself, and k2 represents the brightness loss coefficient of statistical analysis;

[0102] S64: matching the expected transparency of the window and / or the expected brightness of the door and window according to the first light intensity deviation between the indoor light sensing information and the outdoor light sensing information;

[0103] S65: Generate the first control scheme according to the desired transparency of the window and the desired brightness of the door and window, combined with the window brightness decision function and the door brightness decision function.

[0104] Specifically, the detailed process of optimizing the light transmission control according to the first decision information and determining the first control scheme for window light transmission control is as follows:

[0105] The first adjustment parameter refers to the door and window brightness and / or window transparency information that needs to be adjusted, which is extracted from the first decision information.

[0106] Construct the window brightness decision function: L1=k1*(R(T)*E1+T*E2+E3), where L1 represents the window brightness, T represents the window transparency, R(T) represents the light reflection coefficient that changes with the window transparency, E1 represents the indoor light intensity, E2 represents the outdoor light intensity, E3 represents the window's own light intensity, and k1 represents the brightness loss coefficient of statistical analysis.

[0107] Preferably, k1 is the average brightness retention ratio of windows in the same scene, which is used as the brightness loss coefficient. Preferably, R(T) is pre-defined by the user, and R(T) is associated with window transparency T in different intervals and stored, so that R(T) can be quickly determined when determining the window transparency T.

[0108] Construct the door brightness decision function: L2=k2*(R2*E1+E4), where L2 represents the door brightness, R2 represents the light reflection coefficient of the door, E1 represents the indoor light intensity, E4 represents the light intensity of the door itself, and k2 represents the brightness loss coefficient of the door statistical analysis, which is determined in the same way as k1.

[0109] Through the window brightness decision function and the door brightness decision function, when the window transparency is determined, other variables are kept unchanged, and the brightness information of the doors and windows themselves is adjusted, so as to achieve the desired brightness.

[0110] Furthermore, indoor photosensitive recording data, outdoor photosensitive recording data and light intensity deviation recording data are collected, and the light intensity deviation recording data are marked by experts to obtain window expected transparency marking information and door and window expected brightness marking information;

[0111] Based on BP neural network, the window expected transparency identification information is used as supervision information, and the indoor photosensitive recording data, outdoor photosensitive recording data and light intensity deviation recording data are used as input training data for model training, and the window expected transparency decision model is obtained.

[0112] Based on the BP neural network, the expected brightness identification information of doors and windows is used as the supervision information, and the indoor photosensitivity recording data, outdoor photosensitivity recording data and light intensity deviation recording data are used as the input training data for model training to obtain the expected brightness decision model for doors and windows.

[0113] The window expected transparency decision model and the door and window expected brightness decision model are constructed based on the big data of the same apartment type, and can adapt to the door and window expected brightness and window expected transparency of the same apartment type room. The indoor photosensitive information, outdoor photosensitive information, and the first light intensity deviation are processed by the window expected transparency decision model and the door and window expected brightness decision model to obtain the window expected transparency and the door and window expected brightness, so as to be retrieved based on the first decision information instruction in the subsequent step.

[0114] Finally, the window expected transparency and the door and window expected brightness are combined with the window brightness decision function and the door brightness decision function to obtain the door and window brightness control parameters, and the window expected transparency and the door and window brightness control parameters are added to the first control scheme to realize the door and window brightness and window transparency control. The technical effect of adaptively adjusting the door and window status based on the actual scene is achieved.

[0115] S70: Optimizing the door and window opening and closing control according to the first decision information, the second decision information and the third decision information to obtain a second control solution;

[0116] Further, according to the first decision information, the second decision information and the third decision information, the door and window opening and closing control optimization is performed to obtain a second control scheme, and step S70 includes the following steps:

[0117] S71: setting a first priority for the second decision information, setting a second priority for the third decision information, and setting a third priority for the first decision information;

[0118] S72: Fit the first decision information, the second decision information, and the third decision information according to the first priority, the second priority, and the third priority to obtain the second control scheme.

[0119] Further, the first decision information, the second decision information and the third decision information are fitted according to the first priority, the second priority and the third priority to obtain the second control scheme, and step S72 includes the steps of:

[0120] S721: When the first decision information, the second decision information and the third decision information are all satisfied, directly acquire the second control scheme;

[0121] S722: When the first decision information, the second decision information and the third decision information conflict, the second decision information shall prevail;

[0122] S723: When the first decision information and the second decision information conflict, the second decision information shall prevail;

[0123] S724: When the first decision information and the third decision information conflict, the third decision information shall prevail;

[0124] S725: When the second decision information conflicts with the third decision information, the second decision information shall prevail.

[0125] Specifically, a first priority is set for the second decision information, a second priority is set for the third decision information, and a third priority is set for the first decision information. The first priority to the third priority refer to which one takes priority when the decision indication information conflicts, which are the second decision information, the third decision information and the first decision information, respectively. For example, when the second decision information is a window opening instruction and the first decision information is to reduce the transparency of the window, there is a conflict, and the second decision information takes precedence over the first decision information, so the corresponding window is opened first; if the second decision information is a window opening instruction and the first decision information is to increase the transparency of the window, there is no conflict, and the window transparency can be increased by opening the window.

[0126] When the first decision information, the second decision information and the third decision information are satisfied at the same time, the second control scheme is directly obtained, that is, all the door and window control indication information is directly satisfied; when the first decision information, the second decision information and the third decision information conflict, the second decision information shall prevail; when the first decision information and the second decision information conflict, the second decision information shall prevail; when the first decision information and the third decision information conflict, the third decision information shall prevail; when the second decision information and the third decision information conflict, the second decision information shall prevail.

[0127] The priority setting here is based on the principle that temperature control takes precedence over humidity control, and takes precedence over door and window brightness and transparency control. During control, priority is given to the control scheme that can satisfy all self-instructions. If none, it is selectively satisfied according to the priority.

[0128] S80: Control doors and windows according to the first control scheme and the second control scheme.

[0129] Specifically, automatic control of doors and windows is performed according to the first control scheme and the second control scheme to improve the intelligence of door and window control.

[0130] In summary, the embodiments of the present application have at least the following technical effects:

[0131] The present application provides a method for controlling intelligent doors and windows with adjustable brightness, which is applied to a server, wherein the server is in communication with a photoreceptor and a temperature and humidity sensor, and comprises: receiving photosensitive sensing information from the photoreceptor, wherein the photosensitive sensing information comprises indoor photosensitive information and outdoor photosensitive information; determining first decision information according to the indoor photosensitive information and the outdoor photosensitive information; receiving temperature sensing information and humidity sensing information from the temperature and humidity sensor, wherein the temperature sensing information comprises outdoor temperature sensing information and outdoor humidity sensing information; determining second decision information according to the outdoor temperature sensing information and the expected indoor temperature; determining third decision information according to the outdoor humidity sensing information and the expected indoor humidity; optimizing light transmission control according to the first decision information to obtain a first control scheme; optimizing door and window opening and closing control according to the first decision information, the second decision information and the third decision information to obtain a second control scheme; a technical scheme for controlling doors and windows according to the first control scheme and the second control scheme solves the technical problem that the door and window control in the prior art is limited to voice control and lacks adaptive adjustment based on scenes, and achieves the technical effect of realizing adaptive adjustment based on scenes.

[0132] Embodiment 2:

[0133] Based on the same inventive concept as the brightness-adjustable intelligent door and window control method in the aforementioned embodiment, Figure 3 As shown, the present application provides a smart door and window control system with adjustable brightness, which is applied to a server 001, and the server is connected to a photoreceptor 002 and a temperature and humidity sensor 003 in communication, including:

[0134] A first receiving unit 11 is used to receive light sensing information from a photoreceptor, wherein the light sensing information includes indoor light sensing information and outdoor light sensing information;

[0135] A first acquisition unit 12, configured to determine first decision information according to the indoor light sensing information and the outdoor light sensing information;

[0136] The second receiving unit 13 is used to receive temperature sensing information and humidity sensing information of the temperature and humidity sensor, wherein the temperature sensing information includes outdoor temperature sensing information, and the humidity sensing information includes outdoor humidity sensing information;

[0137] A second acquisition unit 14 is used to determine second decision information according to the outdoor temperature sensing information and the expected indoor temperature;

[0138] A third acquisition unit 15 is used to determine third decision information according to the outdoor humidity sensing information and the expected indoor humidity;

[0139] A first optimization unit 16, configured to perform light transmission control optimization according to the first decision information to obtain a first control solution;

[0140] A second optimization unit 17, configured to optimize the door and window opening and closing control according to the first decision information, the second decision information and the third decision information, and obtain a second control solution;

[0141] The first control unit 18 is used to control doors and windows according to the first control scheme and the second control scheme.

[0142] Furthermore, the first acquiring unit 12 executes the steps including:

[0143] When the indoor light-sensing information is stronger than the outdoor light-sensing information, generating a transparency adjustment instruction;

[0144] adding the indoor light-sensing information, the outdoor light-sensing information and the transparency adjustment instruction into the first decision information;

[0145] When the indoor light-sensing information is weaker than the outdoor light-sensing information, generating a brightness adjustment instruction and a transparency adjustment instruction;

[0146] The indoor light-sensing information, the outdoor light-sensing information, the brightness adjustment instruction and the transparency adjustment instruction are added into the first decision information.

[0147] Furthermore, the second obtaining unit 14 executes the steps including:

[0148] When the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is greater than the outdoor temperature sensing information, obtaining a door and window opening instruction;

[0149] When the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is less than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction;

[0150] When the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is lower than the outdoor temperature sensing information, obtaining a door and window opening instruction;

[0151] When the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is greater than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction;

[0152] The door and window opening instruction or the door and window closing instruction is added into the second decision information.

[0153] Furthermore, the third obtaining unit 15 executes the steps including:

[0154] When the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is greater than the outdoor humidity sensor information, obtaining a door and window opening instruction;

[0155] When the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is less than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction;

[0156] When the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is less than the outdoor humidity sensor information, obtaining a door and window opening instruction;

[0157] When the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is greater than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction;

[0158] The door and window opening instruction or the door and window closing instruction is added into the third decision information.

[0159] Furthermore, the first optimization unit 16 executes the following steps:

[0160] According to the first decision information, a first adjustment parameter is acquired, wherein the first adjustment parameter includes door and window brightness and / or window transparency;

[0161] Construct a window brightness decision function:

[0162] L1=k1*(R(T)*E1+T*E2+E3);

[0163] Among them, L1 represents the brightness of the window, T represents the transparency of the window, R(T) represents the light reflection coefficient that changes with the transparency of the window, E1 represents the indoor light intensity, E2 represents the outdoor light intensity, E3 represents the light intensity of the window itself, and k1 represents the brightness loss coefficient of statistical analysis;

[0164] Construct the gate brightness decision function:

[0165] L2=k2*(R2*E1+E4);

[0166] Among them, L2 represents the brightness of the door, R2 represents the light reflection coefficient of the door, E1 represents the indoor light intensity, E4 represents the light intensity of the door itself, and k2 represents the brightness loss coefficient of statistical analysis;

[0167] Matching the desired transparency of windows and / or the desired brightness of doors and windows according to the first light intensity deviation between the indoor light sensing information and the outdoor light sensing information;

[0168] The first control scheme is generated according to the desired transparency of the window and the desired brightness of the door and window, combined with the window brightness decision function and the door brightness decision function.

[0169] Furthermore, the second optimization unit 17 executes the following steps:

[0170] Setting a first priority for the second decision information, setting a second priority for the third decision information, and setting a third priority for the first decision information;

[0171] The first decision information, the second decision information and the third decision information are fitted according to the first priority, the second priority and the third priority to obtain the second control scheme.

[0172] Furthermore, the second optimization unit 17 executes the following steps:

[0173] When the first decision information, the second decision information and the third decision information are simultaneously satisfied, directly acquiring the second control scheme;

[0174] When the first decision information, the second decision information and the third decision information conflict, the second decision information shall prevail;

[0175] When the first decision information conflicts with the second decision information, the second decision information shall prevail;

[0176] When the first decision information and the third decision information conflict, the third decision information shall prevail;

[0177] When the second decision information conflicts with the third decision information, the second decision information shall prevail.

[0178] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for controlling intelligent doors and windows with adjustable brightness, characterized in that: Applied to the server, the server communicates with the photoreceptor and the temperature and humidity sensor, including: Receiving light sensing information from a photoreceptor, wherein the light sensing information includes indoor light sensing information and outdoor light sensing information; Determining first decision information according to the indoor light sensing information and the outdoor light sensing information; Receiving temperature sensing information and humidity sensing information from a temperature and humidity sensor, wherein the temperature sensing information includes outdoor temperature sensing information, and the humidity sensing information includes outdoor humidity sensing information; Determining second decision information according to the outdoor temperature sensing information and the expected indoor temperature; determining third decision information according to the outdoor humidity sensing information and the expected indoor humidity; Perform light transmission control optimization according to the first decision information to obtain a first control solution; Optimizing the door and window opening and closing control according to the first decision information, the second decision information and the third decision information to obtain a second control solution; Perform door and window control according to the first control scheme and the second control scheme; Performing light transmission control optimization according to the first decision information to obtain a first control solution includes: According to the first decision information, a first adjustment parameter is acquired, wherein the first adjustment parameter includes door and window brightness and / or window transparency; Construct a window brightness decision function: L1=k1*(R(T)*E1+T*E2+E3), Among them, L1 represents the brightness of the window, T represents the transparency of the window, R(T) represents the light reflection coefficient that changes with the transparency of the window, E1 represents the indoor light intensity, E2 represents the outdoor light intensity, E3 represents the light intensity of the window itself, and k1 represents the brightness loss coefficient of statistical analysis; Construct the gate brightness decision function: L2=k2*(R2*E1+E4), Among them, L2 represents the brightness of the door, R2 represents the light reflection coefficient of the door, E1 represents the indoor light intensity, E4 represents the light intensity of the door itself, and k2 represents the brightness loss coefficient of statistical analysis; Matching the desired transparency of windows and / or the desired brightness of doors and windows according to the first light intensity deviation between the indoor light sensing information and the outdoor light sensing information; The first control scheme is generated according to the desired transparency of the window and the desired brightness of the door and window, combined with the window brightness decision function and the door brightness decision function.

2. The method according to claim 1, characterized in that Determining first decision information according to the indoor light sensing information and the outdoor light sensing information includes: When the indoor light-sensing information is stronger than the outdoor light-sensing information, generating a transparency adjustment instruction; adding the indoor light-sensing information, the outdoor light-sensing information and the transparency adjustment instruction into the first decision information; When the indoor light-sensing information is weaker than the outdoor light-sensing information, generating a brightness adjustment instruction and a transparency adjustment instruction; The indoor light-sensing information, the outdoor light-sensing information, the brightness adjustment instruction and the transparency adjustment instruction are added into the first decision information.

3. The method according to claim 1, characterized in that Determining second decision information according to the outdoor temperature sensing information and the expected indoor temperature includes: When the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is greater than the outdoor temperature sensing information, obtaining a door and window opening instruction; When the outdoor temperature sensing information is greater than the expected indoor temperature, and the indoor temperature sensing information is less than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction; When the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is lower than the outdoor temperature sensing information, obtaining a door and window opening instruction; When the outdoor temperature sensing information is lower than the expected indoor temperature, and the indoor temperature sensing information is greater than or equal to the outdoor temperature sensing information, obtaining a door and window closing instruction; The door and window opening instruction or the door and window closing instruction is added into the second decision information.

4. The method according to claim 1, characterized in that Determining third decision information according to the outdoor humidity sensing information and the expected indoor humidity includes: When the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is greater than the outdoor humidity sensor information, obtaining a door and window opening instruction; When the outdoor humidity sensor information is greater than the expected indoor humidity, and the indoor humidity sensor information is less than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction; When the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is less than the outdoor humidity sensor information, obtaining a door and window opening instruction; When the outdoor humidity sensor information is less than the expected indoor humidity, and the indoor humidity sensor information is greater than or equal to the outdoor humidity sensor information, obtaining a door and window closing instruction; The door and window opening instruction or the door and window closing instruction is added into the third decision information.

5. The method according to claim 1, characterized in that Optimizing the door and window opening and closing control according to the first decision information, the second decision information, and the third decision information to obtain a second control solution includes: Setting a first priority for the second decision information, setting a second priority for the third decision information, and setting a third priority for the first decision information; The first decision information, the second decision information and the third decision information are fitted according to the first priority, the second priority and the third priority to obtain the second control scheme.

6. The method according to claim 5, characterized in that Fitting the first decision information, the second decision information, and the third decision information according to the first priority, the second priority, and the third priority to obtain the second control scheme includes: When the first decision information, the second decision information and the third decision information are simultaneously satisfied, directly acquiring the second control scheme; When the first decision information, the second decision information and the third decision information conflict, the second decision information shall prevail; When the first decision information conflicts with the second decision information, the second decision information shall prevail; When the first decision information and the third decision information conflict, the third decision information shall prevail; When the second decision information conflicts with the third decision information, the second decision information shall prevail.

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