Automatic intelligent control method and system

Abstract

The invention is suitable for the field of automatic control, and provides an automatic intelligent control method and system, and the method comprises the steps: collecting the working frequency of intelligent furniture of a targeted user and the working state information of a historical period, and the intelligent furniture specifically comprises an intelligent curtain, an intelligent lamp and an intelligent air conditioner; setting an induction identification point location and induction identification terminal equipment; based on the induction recognition point location and the induction recognition terminal equipment, obtaining a target user access behavior action; generating a habit restoration control strategy based on the target user access behavior action; according to the method and the system, the habit restoring control strategy can be generated based on user habits, environment perception and targeted user access behavior actions, the habit restoring control strategy is generated, the habitual use state requirements of the intelligent furniture equipment of the user are restored, the humanized control capability of the intelligent furniture equipment is improved, and the user experience is improved. And thus, the use experience of the intelligent equipment is improved.

Description

Technical Field

[0001] The present invention belongs to the field of automatic control, and in particular relates to an automatic intelligent control method and system. Background Art

[0002] With the rapid development of technology and the continuous improvement of people's living standards, smart homes have become a major trend in modern families' pursuit of convenient, comfortable, and energy-efficient living. Traditional home control methods, which mostly rely on manual operation, are not only inefficient but also fail to meet the modern family's demand for intelligent, automated, and remote control. In recent years, the widespread application of technologies such as the Internet of Things, cloud computing, and artificial intelligence has provided strong technical support and unlimited possibilities for intelligent home automation control.

[0003] However, existing home automation intelligent control lacks deep learning and intelligent decision-making capabilities based on user habits and environmental perception. Therefore, developing a highly integrated and intelligent home automation intelligent control method and system has become a technical problem that needs to be solved urgently in the current smart home field. Summary of the Invention

[0004] The purpose of the present invention is to provide an automated intelligent control method and system, aiming to solve the problems raised in the above background technology.

[0005] The present invention is implemented as follows: on the one hand, an automated intelligent control method, the method comprising:

[0006] Collecting the operating frequency and historical working status information of each smart furniture of the targeted user, wherein each smart furniture specifically includes: smart curtains, smart lamps, and smart air conditioners;

[0007] Set up induction recognition points and induction recognition terminal equipment;

[0008] Based on sensing recognition points and sensing recognition terminal devices, the entry and exit behavior of targeted users is obtained;

[0009] Generate habit restoration control strategies based on targeted user entry and exit behaviors;

[0010] Obtain habit restoration control strategy, generate and push control action information.

[0011] As a further solution of the present invention, the collection of the working frequency and historical working status information of each smart home of the targeted user specifically includes:

[0012] Get the historical opening and closing time points of smart curtains, smart lamps, and smart air conditioners respectively;

[0013] Generate the historical opening and closing periods of the intelligent curtain, intelligent lamp, and intelligent air conditioner based on the opening and closing time points of the intelligent curtain, intelligent lamp, and intelligent air conditioner;

[0014] Generate several unit periods based on the historical opening and closing periods;

[0015] Obtain several unit periods, calculate and store the average indoor light perception index value and the average indoor temperature value ;

[0016] Among them, the calculation process of the indoor light perception index is as follows:

[0017] ;

[0018] In the formula, is the total number of indoor light sources, is the intensity of the th light source, is the visual weight of the th light source, is the environmental reflectivity of the irradiation area of the th light source, is the intensity of the supplementary sunlight entering, is the visual weight of the supplementary sunlight entering, is the environmental reflectivity of the supplementary sunlight entering.

[0019] As a further solution of the present invention, the obtaining of the specific actions of the target user's entry and exit behavior based on the induction recognition point and the induction recognition terminal device specifically includes:

[0020] Collect and judge the order of the induction position information, and send a face recognition instruction;

[0021] Based on the face recognition instruction, obtain a real-time frame image and generate a face recognition result;

[0022] Based on the face recognition result, generate home information or leaving home information.

[0023] As a further solution of the present invention, the generation of the habit restoration control strategy based on the specific actions of the target user's entry and exit behavior specifically includes:

[0024] Retrieve whether there is leaving home information;

[0025] If there is leaving home information, generate a closing adjustment instruction;

[0026] Based on the closing adjustment instruction, regularly collect the intensity value of the supplementary sunlight entering.

[0027] As a further solution of the present invention, the generation of the habit restoration control strategy based on the specific actions of the target user's entry and exit behavior specifically further includes:

[0028] Retrieve whether there is homecoming information;

[0029] If there is leaving-home information, generate a restoration adjustment instruction;

[0030] Based on the restoration adjustment instruction, obtain the real-time time of the induction position information and match the unit time period corresponding to the real-time time of the induction position information;

[0031] Based on the unit time period corresponding to the real-time time of the induction position information, extract the average indoor light perception index of the corresponding unit time period and the average indoor temperature ;

[0032] Obtain the real-time indoor temperature value;

[0033] Based on the average indoor temperature of the corresponding unit time period and the real-time indoor temperature value, generate a target temperature adjustment instruction for the intelligent air conditioner;

[0034] Obtain the real-time supplementary sunlight intensity entering the room ;

[0035] Based on the real-time supplementary sunlight intensity entering the room , generate the real-time visual weight of the supplementary sunlight entering the room and the real-time environmental reflectivity of the supplementary sunlight entering the room ;

[0036] Based on the real-time supplementary sunlight intensity entering the room , the real-time visual weight of the supplementary sunlight entering the room and the real-time environmental reflectivity of the supplementary sunlight entering the room , calculate the real-time light perception index of the supplementary sunlight entering the room ;

[0037] The calculation process of the real-time light perception index of the supplementary sunlight entering the room is as follows:

[0038] ;

[0039] Calculate the index difference between the average indoor light perception index of the corresponding unit time period and the real-time light perception index of the supplementary sunlight entering the room ;

[0040] Based on the index difference, generate target light perception adjustment instructions for the intelligent curtain and the intelligent lamp.

[0041] As a further solution of the present invention, on the other hand, an automated intelligent control system, the system includes:

[0042] The acquisition module is used to acquire the working frequencies of each smart furniture of the targeted user and the working status information of historical time periods;

[0043] The induction module is used to set the induction recognition points and induction recognition terminal devices;

[0044] The first acquisition module is used to acquire the in-out behavior actions of the targeted user based on the induction recognition points and induction recognition terminal devices;

[0045] The generation module is used to generate a habit restoration control strategy based on the in-out behavior actions of the targeted user;

[0046] The second acquisition module is used to acquire the habit restoration control strategy;

[0047] The generation and push module is used to generate and push control action information.

[0048] As a further solution of the present invention, the acquisition module specifically includes:

[0049] The first acquisition unit is used to respectively acquire the historical opening and closing time points of the smart curtain, smart lamp and smart air conditioner;

[0050] The first generation unit is used to generate the historical opening and closing time periods of the smart curtain, smart lamp and smart air conditioner based on the opening and closing time points of the smart curtain, smart lamp and smart air conditioner;

[0051] The second generation unit is used to generate several unit time periods based on the historical opening and closing time periods;

[0052] The second acquisition unit is used to acquire several unit time periods;

[0053] The calculation and storage unit is used to calculate and store the average indoor light perception index and the average indoor temperature .

[0054] As a further solution of the present invention, the first acquisition module specifically includes:

[0055] The acquisition and judgment unit is used to acquire and judge the sequence of induction position information;

[0056] The sending unit is used to send a face recognition instruction;

[0057] The third acquisition unit is used to acquire a real-time frame image based on the face recognition instruction;

[0058] The third generation unit is used to generate a face recognition result;

[0059] The fourth generation unit is used to generate home information or leaving home information based on the face recognition result.

[0060] An automated intelligent control method and system provided by the present invention can generate a habit restoration control strategy based on user habits, environmental perception, and targeted user entry and exit behavior actions, restore the usage state requirements of intelligent furniture devices that users are accustomed to, improve the humanized control ability of intelligent furniture devices, and thus enhance the usage experience of intelligent devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is the main flowchart of an automated intelligent control method.

[0062] Figure 2 It is the flowchart of collecting the working frequency and historical working state information of each smart home of the targeted user in an automated intelligent control method.

[0063] Figure 3 It is the flowchart of obtaining the targeted user's entry and exit behavior actions based on the induction recognition points and induction recognition terminal devices in an automated intelligent control method.

[0064] Figure 4 It is the flowchart of generating the first embodiment of the habit restoration control strategy based on the targeted user's entry and exit behavior actions in an automated intelligent control method.

[0065] Figure 5 It is the flowchart of generating the second embodiment of the habit restoration control strategy based on the targeted user's entry and exit behavior actions in an automated intelligent control method.

[0066] Figure 6 It is the main structure diagram of an automated intelligent control system.

[0067] Figure 7 It is the block diagram of the acquisition module in an automated intelligent control system.

[0068] Figure 8 It is the block diagram of the first acquisition module in an automated intelligent control system. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0069] In order to make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0070] The following describes the specific implementation of the present invention in detail with reference to specific embodiments.

[0071] An automated intelligent control method and system provided by the present invention solve the technical problems in the background art.

[0072] Such as Figure 1As shown in the figure, it is the main flowchart of an automated intelligent control method provided by an embodiment of the present invention. The automated intelligent control method includes:

[0073] Step S100: Collect the working frequencies and working status information of each intelligent furniture of the targeted user in historical periods. The specific intelligent furniture includes: intelligent curtains, intelligent lights, and intelligent air conditioners;

[0074] Step S200: Set induction recognition points and induction recognition terminal devices;

[0075] Step S300: Based on the induction recognition points and induction recognition terminal devices, obtain the entry and exit behavior actions of the targeted user;

[0076] Step S400: Generate a habit restoration control strategy based on the entry and exit behavior actions of the targeted user;

[0077] Step S500: Obtain the habit restoration control strategy, generate and push control action information;

[0078] When this embodiment is applied, in the room of the targeted user, there are intelligent furniture devices such as but not limited to intelligent curtains, intelligent lights, and intelligent air conditioners. There is a home local area network, and information channels can be established for several intelligent furniture devices through the home local area network, so as to realize the linkage control of several intelligent furniture devices. When each intelligent furniture device is turned on, turned off, or running, it will record its daily usage frequency and working status information. First, collect the working frequencies and working status information of each intelligent furniture of the targeted user. The working frequency can be used to judge the opening and closing time points and opening and closing durations of the intelligent furniture, and the working status information can be used to judge the status information when the intelligent furniture is turned on. By identifying and analyzing the opening and closing time points, opening and closing durations, and status information when the intelligent furniture is turned on, the synchronous usage habits of several intelligent furniture of the targeted user can be judged. At the same time, induction recognition terminal devices are set at the necessary positions for entering and exiting the home portal. The induction recognition terminal devices can realize personnel entry and exit monitoring and face recognition functions. When the face information of the manager is extracted and entered, the entry and exit monitoring of targeted personnel can be realized. At the same time, the induction recognition terminal devices can also perform continuous video recording, and then realize the placement function. When performing home intelligent control, based on the induction recognition points and induction recognition terminal devices, obtain the entry and exit behavior actions of the targeted user, and then generate a habit restoration control strategy based on the entry and exit behavior actions of the targeted user to restore the synchronous usage habits of several intelligent furniture of the targeted user. Then obtain the habit restoration control strategy, generate and push control action information. The pushed control action information can be transmitted to the user's mobile phone, which is convenient for the targeted user to understand the usage situation of home devices in real time.

[0079] Such as Figure 2As shown, as a preferred embodiment of the present invention, the process of collecting the working frequency and historical working status information of each smart home of the target user specifically includes:

[0080] Step S101: Obtain the historical opening and closing time points of the smart curtain, smart lamp, and smart air conditioner respectively;

[0081] Step S102: Generate the historical opening and closing periods of the smart curtain, smart lamp, and smart air conditioner based on the opening and closing time points of the smart curtain, smart lamp, and smart air conditioner;

[0082] Step S103: Generate several unit periods based on the historical opening and closing periods;

[0083] Step S104: Obtain several unit periods, calculate and store the average indoor light perception index and the average indoor temperature ;

[0084] Among them, the calculation process of the indoor light perception index is:

[0085] ;

[0086] In the formula, is the total number of indoor light sources, is the intensity of the th light source, is the visual weight of the th light source, is the environmental reflectivity of the irradiation area of the th light source, is the intensity of the supplementary sunlight entering, is the visual weight of the supplementary sunlight entering, is the environmental reflectivity of the supplementary sunlight entering;

[0087] When this embodiment is applied, a light intensity measuring instrument and a temperature sensor are arranged indoors. First, obtain the historical opening and closing time points of the smart curtain, smart lamp, and smart air conditioner respectively. Based on the opening and closing time points of the smart curtain, smart lamp, and smart air conditioner, generate the historical opening and closing periods of the smart curtain, smart lamp, and smart air conditioner. The calculation process is performed through a preset algorithm. Then, based on the historical opening and closing periods, generate several unit periods, and each unit period does not exceed 10 minutes, thereby ensuring the accuracy of the subsequent calculation of the average light perception and the average temperature. Obtain several unit periods, calculate and store the average indoor light perception index and the average indoor temperature , and the calculation process is also performed through a preset algorithm.

[0088] Such as Figure 3As shown in the figure, as a preferred embodiment of the present invention, the specific steps of obtaining the targeted user's entry and exit behavior actions based on the induction recognition points and induction recognition terminal devices include:

[0089] Step S301: Collect and judge the order of induction position information, and send a face recognition instruction;

[0090] Step S302: Based on the face recognition instruction, obtain a real-time frame image and generate a face recognition result;

[0091] Step S303: Based on the face recognition result, generate homecoming information or leaving-home information;

[0092] When this embodiment is applied, at least two photoelectric sensors and monitoring devices are installed at the set positions, and the two photoelectric sensors are at a certain distance from each other. One is located at the position of the entrance door, and the other can be located (but not limited to) at the position of the unit door. The photoelectric sensors can sense the human body movement information, and the monitoring devices can continuously record in a fixed direction and perform face recognition, collect and judge the order of induction position information, and send a face recognition instruction. When the photoelectric sensor at the entrance door position receives the information first and then the other photoelectric sensor receives the information, it indicates that the user is in the state of going out. When the photoelectric sensor far from the entrance door position receives the information first, it indicates that the user is in the state of coming in. At the same time, a face recognition instruction is sent. Based on the face recognition instruction, a real-time frame image is obtained and a face recognition result is generated. Based on the face recognition result, after confirming the targeted user, homecoming information or leaving-home information is generated.

[0093] As Figure 4 shown in the figure, as a preferred embodiment of the present invention, the specific steps of generating a habit restoration control strategy based on the targeted user's entry and exit behavior actions include:

[0094] Step S401: Retrieve whether there is leaving-home information;

[0095] Step S402: If there is leaving-home information, generate a closing adjustment instruction;

[0096] Step S403: Based on the closing adjustment instruction, regularly collect the intensity value of the supplementary sunlight entering the room;

[0097] It should be understood that when retrieving whether there is leaving-home information, if there is leaving-home information, a closing adjustment message is generated, the intelligent lamps and intelligent air conditioners are turned off, and the intelligent curtains are in the retracted state. At the same time, based on the closing adjustment instruction, the illuminance measuring instrument set indoors regularly collects the intensity value of the supplementary sunlight entering the room, which is convenient for subsequent cooperation with the intelligent lamps to adjust the indoor ambient light perception.

[0098] As Figure 5 shown in the figure, as a preferred embodiment of the present invention, the specific steps of generating a habit restoration control strategy based on the targeted user's entry and exit behavior actions further include:

[0099] Step S411: Retrieve whether there is homecoming information;

[0100] Step S412: If there is leaving-home information, generate a restoration adjustment instruction;

[0101] Step S413: Based on the restoration adjustment instruction, obtain the real-time time of the induction position information and match the unit time period corresponding to the real-time time of the induction position information;

[0102] Step S414: Based on the unit time period corresponding to the real-time time of the induction position information, extract the average indoor light perception index and the average indoor temperature ;

[0103] Step S415: Obtain the real-time indoor temperature value;

[0104] Step S416: Based on the average indoor temperature of the corresponding unit time period and the real-time indoor temperature value, generate an intelligent air conditioner target temperature adjustment instruction;

[0105] Step S417: Obtain the real-time supplementary sunlight intensity entering the room ;

[0106] Step S418: Based on the real-time supplementary sunlight intensity entering the room , generate the real-time supplementary sunlight visual weight and the real-time supplementary sunlight environment reflectivity ;

[0107] Step S419: Based on the real-time supplementary sunlight intensity entering the room , the real-time supplementary sunlight visual weight and the real-time supplementary sunlight environment reflectivity , calculate the real-time supplementary sunlight light perception index ;

[0108] The calculation process of the real-time supplementary sunlight light perception index is as follows:

[0109]

[0110] Step S420: Calculate the index difference between the average indoor light perception index of the corresponding unit time period and the real-time supplementary sunlight light perception index ;

[0111] Step S421: Based on the index difference, generate the target light perception adjustment instructions for the intelligent curtain and the intelligent lamp;

[0112] When this embodiment is applied, it first searches for information about returning home. If there is information about leaving home, it generates a restoration adjustment instruction. Based on the restoration adjustment instruction, it obtains the real-time time of the sensing position information, matches the unit time period corresponding to the real-time time of the sensing position information, and extracts the mean indoor light perception index of the corresponding unit time period based on the unit time period corresponding to the real-time time of the sensing position information. and the average indoor temperature , and then obtain the real-time indoor temperature value based on the average indoor temperature of the corresponding unit period And the real-time indoor temperature value, generate the intelligent air-conditioning target temperature adjustment instruction, obtain the real-time indoor temperature value and the real-time incident supplementary daylight intensity at the same time , based on real-time sunlight intensity , generating real-time incident supplementary daylight visual weight and real-time injection to supplement the daylight environment reflectivity , based on real-time sunlight intensity , the visual weight of real-time supplementary sunlight and real-time injection to supplement the daylight environment reflectivity , calculate the real-time incident supplementary sunlight light index , calculate the mean indoor light index of the corresponding unit period and real-time supplementary daylight perception index The index difference can be positive or negative. Based on the index difference, the target light adjustment instructions for smart curtains and smart lamps are generated. When the index difference is positive, it indicates that the indoor light at this moment is weaker than the user's accustomed light. At this time, there is no need to adjust the smart curtains. Turn on the smart lamps to the target brightness, and then supplement the indoor light so that the indoor light value reaches the average of the user's accustomed light in the historical period. When the index difference is negative, it indicates that the indoor light at this moment is stronger than the user's accustomed light. At this time, there is no need to turn on the smart lamps. Adjust the smart curtains to the target opening and closing distance so that the indoor light value reaches the average of the user's accustomed light in the historical period. When adjusting smart lamps and smart controls, the adjustment status will be sent to terminal devices such as the targeted user's mobile phone.

[0113] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, an automated intelligent control system, the system includes:

[0114] The collection module 100 is used to collect the working frequency and historical working status information of each smart furniture of the targeted user;

[0115] The sensing module 200 is used to set sensing identification points and sensing identification terminal devices;

[0116] The first acquisition module 300 is configured to acquire the access behavior actions of the targeted user based on the induction recognition points and the induction recognition terminal devices.

[0117] The generation module 400 is configured to generate a habit restoration control strategy based on the access behavior actions of the targeted user.

[0118] The second acquisition module 500 is configured to acquire the habit restoration control strategy.

[0119] The generation and push module 600 is configured to generate and push control action information.

[0120] When this embodiment is applied, the acquisition module 100 collects the working frequencies of each intelligent furniture of the targeted user and the working status information of the historical time periods. The induction module 200 sets the induction recognition points and the induction recognition terminal devices. Based on the induction recognition points and the induction recognition terminal devices, the first acquisition module 300 acquires the access behavior actions of the targeted user. Based on the access behavior actions of the targeted user, the generation module 400 generates a habit restoration control strategy. The second acquisition module 500 acquires the habit restoration control strategy. The generation and push module 600 generates and pushes control action information.

[0121] As Figure 7 shown, as another preferred embodiment of the present invention, the acquisition module 100 specifically includes:

[0122] The first acquisition unit 101 is configured to respectively acquire the historical opening and closing time points of the intelligent curtain, the intelligent lamp, and the intelligent air conditioner.

[0123] The first generation unit 102 is configured to generate the historical opening and closing time periods of the intelligent curtain, the intelligent lamp, and the intelligent air conditioner based on the opening and closing time points of the intelligent curtain, the intelligent lamp, and the intelligent air conditioner.

[0124] The second generation unit 103 is configured to generate a plurality of unit time periods based on the historical opening and closing time periods.

[0125] The second acquisition unit 104 is configured to acquire a plurality of unit time periods.

[0126] The calculation and storage unit 105 is configured to calculate and store the average indoor light sensing index and the average indoor temperature ;

[0127] When this embodiment is applied, the first acquisition unit 101 respectively acquires the historical opening and closing time points of the intelligent curtain, the intelligent lamp, and the intelligent air conditioner. Based on the opening and closing time points of the intelligent curtain, the intelligent lamp, and the intelligent air conditioner, the first generation unit 102 generates the historical opening and closing time periods of the intelligent curtain, the intelligent lamp, and the intelligent air conditioner. Based on the historical opening and closing time periods, the second generation unit 103 generates a plurality of unit time periods. The second acquisition unit 104 acquires the plurality of unit time periods, and the calculation and storage unit 105 calculates and stores the average indoor light perception index value for each unit time period and the average indoor temperature .

[0128] As Figure 8 shown, as another preferred embodiment of the present invention, the first acquisition module 300 specifically includes:

[0129] The acquisition and judgment unit 301 is used to acquire and judge the order of the induction position information;

[0130] The sending unit 302 is used to send the face recognition instruction;

[0131] The third acquisition unit 303 is used to acquire the real-time frame image based on the face recognition instruction;

[0132] The third generation unit 304 is used to generate the face recognition result;

[0133] The fourth generation unit 305 is used to generate the going-home information or the leaving-home information based on the face recognition result;

[0134] When this embodiment is applied, the acquisition and judgment unit 304 acquires and judges the order of the induction position information, the sending unit 302 sends the face recognition instruction. Based on the face recognition instruction, the third acquisition unit 303 acquires the real-time frame image, the third generation unit 304 generates the face recognition result, and based on the face recognition result, the fourth generation unit 305 generates the going-home information or the leaving-home information.

[0135] In the above embodiments of the present invention, an automated intelligent control method is provided, and an automated intelligent control system is provided. In the targeted user's room, there are intelligent furniture devices such as, but not limited to, intelligent curtains, intelligent lamps, and intelligent air conditioners. A home local area network is set up, and information channels can be established for several intelligent furniture devices through the home local area network, so as to realize the linkage control of several intelligent furniture devices. When each intelligent furniture device is turned on, turned off, or running, it will record its daily usage frequency and working status information. First, collect the working frequency and working status information of each intelligent furniture of the targeted user in the historical period. The working frequency can be used to judge the opening and closing time points and the opening and closing duration of the intelligent furniture, and the working status information can be used to judge the status information when the intelligent furniture is turned on. By identifying and analyzing the opening and closing time points, the opening and closing duration, and the status information when the intelligent furniture is turned on, the synchronous usage habits of several intelligent furniture of the targeted user are further judged. At the same time, an induction recognition terminal device is set at the necessary position for entering and leaving the home portal. The induction recognition terminal device can realize personnel entry and exit monitoring and face recognition functions. When the face information of the manager is extracted and entered, the entry and exit monitoring of the targeted personnel can be realized. At the same time, the induction recognition terminal device can also perform continuous video recording, so as to realize the placement function. When performing home intelligent control, based on the induction recognition points and the induction recognition terminal device, obtain the entry and exit behavior actions of the targeted user, and then generate a habit restoration control strategy based on the entry and exit behavior actions of the targeted user to restore the synchronous usage habits of several intelligent furniture of the targeted user. Then obtain the habit restoration control strategy, generate and push control action information, and the pushed control action information can be transmitted to the user's mobile phone, so as to facilitate the targeted user to understand the usage situation of the home equipment in real time; This method and system can generate a habit restoration control strategy based on user habits, environmental perception, and the entry and exit behavior actions of the targeted user, restore the usage state requirements of the user's habitual intelligent furniture devices, improve the humanized control ability of the intelligent furniture devices, and thus improve the usage experience of the intelligent devices.

[0136] In order to enable the above method and system to run smoothly, in addition to including the above various modules, the system can also include more or fewer components than the above description, or combine some components, or different components. For example, it can include input and output devices, network access devices, buses, processors, and memories, etc.

[0137] The so-called processor can be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor can also be any conventional processor, etc. The above processor is the control center of the above system, and connects various parts through various interfaces and lines.

[0138] The technical features of the above-described embodiments may be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0139] The above-described embodiments only represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be subject to the appended claims.

[0140] The foregoing is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An automated intelligent control method, characterized in that, The method includes: Collecting the working frequencies and the working status information of the historical periods of each smart furniture of the targeted user, and the specific types of each smart furniture include: smart curtains, smart lights, and smart air conditioners; Setting induction recognition points and induction recognition terminal devices; Obtaining the entry and exit behavior actions of the targeted user based on the induction recognition points and the induction recognition terminal devices; Generating a habit restoration control strategy based on the entry and exit behavior actions of the targeted user; Obtaining the habit restoration control strategy, generating and pushing control action information.

2. The automated intelligent control method according to claim 1, wherein The specific process of collecting the working frequencies and the working status information of the historical periods of each smart home of the targeted user includes: Respectively obtaining the historical opening and closing time points of the smart curtains, smart lights, and smart air conditioners; Generating the historical opening and closing periods of the smart curtains, smart lights, and smart air conditioners based on the opening and closing time points of the smart curtains, smart lights, and smart air conditioners; Generating a number of unit periods based on the historical opening and closing periods; Obtain several unit time periods, calculate and store the average indoor light perception index for each unit time period and the average indoor temperature ; Among them, the calculation process of the indoor light sensing index is: ； Wherein, is the total number of indoor light sources, is the intensity of the th light source, is the visual weight of the th light source, is the environmental reflectivity of the irradiation area of the th light source, is the intensity of the supplementary daylight incident, is the visual weight of the supplementary daylight incident, is the environmental reflectivity of the supplementary daylight incident.

3. The automated intelligent control method according to claim 2, characterized in that The specific process of obtaining the entry and exit behavior actions of the targeted user based on the induction recognition points and the induction recognition terminal devices includes: Collecting and judging the sequence of induction position information and sending a face recognition instruction; Obtaining a real-time frame image based on the face recognition instruction and generating a face recognition result; Generating home information or leaving home information based on the face recognition result.

4. The automated intelligent control method according to claim 3, wherein The specific process of generating a habit restoration control strategy based on the entry and exit behavior actions of the targeted user includes: Searching for the existence of leaving home information; If leaving home information exists, generating a closing adjustment instruction; Timing to collect the intensity value of the supplementary sunlight entering based on the closing adjustment instruction.

5. The automated intelligent control method according to claim 3, wherein The specific process of generating a habit restoration control strategy based on the entry and exit behavior actions of the targeted user further includes: Searching for the existence of home information; If leaving home information exists, generating a restoration adjustment instruction; Based on the restoration adjustment instruction, obtaining the real-time time of the induction position information and matching the unit period corresponding to the real-time time of the induction position information; Extract the mean value of the indoor light sensing index and the mean value of the indoor temperature corresponding to the unit time period corresponding to the real-time time based on the sensed position information and the mean value of the indoor temperature ; Obtaining the real-time indoor temperature value; Based on the average indoor temperature value corresponding to the unit time period and the real-time indoor temperature value, generate an intelligent air conditioner target temperature adjustment instruction; Obtain the real-time incident supplementary sunlight intensity ; Based on the real-time incident supplementary daylight intensity , generate the visual weight of the real-time incident supplementary daylight and the environmental reflectance of the real-time incident supplementary daylight ; Based on the real-time incident supplementary sunlight intensity 、the real-time incident supplementary sunlight visual weight and the real-time incident supplementary sunlight environmental reflectance , calculate the real-time incident supplementary sunlight light perception index ; The calculation process of the real-time injected supplementary sunlight light perception index is as follows: ； Calculate the average indoor light perception index for the corresponding unit time period and the real-time supplementary daylight light perception index of the index difference; Generating a target light sensing adjustment instruction for the smart curtains and smart lights based on the index difference.

6. An automated intelligent control system, characterized in that, Applying the automated intelligent control method according to any one of claims 1-5, the system includes: A collection module for collecting the working frequencies and the working status information of the historical periods of each smart furniture of the targeted user; An induction module for setting induction recognition points and induction recognition terminal devices; A first acquisition module for obtaining the entry and exit behavior actions of the targeted user based on the induction recognition points and the induction recognition terminal devices; A generation module for generating a habit restoration control strategy based on the entry and exit behavior actions of the targeted user; A second acquisition module for obtaining the habit restoration control strategy; A generation and push module for generating and pushing control action information.

7. The automated intelligent control system according to claim 6, wherein The collection module specifically includes: A first acquisition unit for respectively obtaining the historical opening and closing time points of the smart curtains, smart lights, and smart air conditioners; A first generation unit for generating the historical opening and closing periods of the smart curtains, smart lights, and smart air conditioners based on the opening and closing time points of the smart curtains, smart lights, and smart air conditioners; A second generation unit for generating a number of unit periods based on the historical opening and closing periods; A second acquisition unit for obtaining a number of unit periods; A computing and storage unit for calculating and storing the average indoor light perception index and the average indoor temperature for each unit time period and the average indoor temperature .

8. The automated intelligent control system according to claim 7, characterized in that The specific components of the first acquisition module include: An acquisition and judgment unit, configured to acquire and judge the sequence of induction position information; A sending unit, configured to send a face recognition instruction; A third acquisition unit, configured to acquire a real-time frame image based on the face recognition instruction; A third generation unit, configured to generate a face recognition result; A fourth generation unit, configured to generate homecoming information or leaving-home information based on the face recognition result.

Images