Intelligent screen projection entrance door and control method thereof

Abstract

The invention relates to the technical field of entrance doors, and provides an intelligent screen projection entrance door and a control method thereof.The intelligent screen projection entrance door comprises a door frame, a door leaf fixedly installed on the door frame, a screen projection module and a control module in signal connection with the screen projection module; the control module is used for acquiring a regional culture feature vector and a target user portrait feature vector, acquiring a screen projection style according to the regional culture feature vector and the target user portrait feature vector and sending the screen projection style to the screen projection module, and the screen projection module is used for projecting the screen projection style to a door leaf for real-time display. According to the method, regional culture characteristics and target user behavior portraits are fused, a digital ecological interface with culture vitality can be constructed on the basis of physical protection of the entrance door, the functions of the entrance door are enriched, and intelligent and digital content interaction of the entrance door is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of entry door, in particular to an intelligent projection entry door and a control method thereof. BACKGROUND

[0002] The entry door is the first door body to enter the house, which bears the core functions of separating the inside and outside space, ensuring family safety and privacy. The material mainly includes steel, stainless steel and armored door. The armored door has safety and decoration through the surface wood veneer design. With the development and maturity of intelligent projection technology, some users will install a display screen with display and interaction function on the residential entry door. Based on the projection technology and the actual situation, the projection style is updated.

[0003] However, the existing projection style of residential entry door often uses a fixed UI template to display the same projection style to different visitors or guests, which ignores the different regional cultural preferences, and the projection style is easy to be out of touch with the interests and needs of the target object. Its function is single, and the intelligent degree needs to be improved. SUMMARY

[0004] To solve the problem of single function and low intelligent degree of the existing entry door, the present application provides an intelligent projection entry door and a control method thereof. The specific technical solutions are as follows:

[0005] An intelligent projection entry door, comprising a door frame, a door leaf fixedly installed on the door frame, a projection module, and a control module signal connected with the projection module. The control module is used to obtain a regional cultural feature vector and a target user portrait feature vector, obtain a projection style according to the regional cultural feature vector and the target user portrait feature vector, and send the projection style to the projection module. The projection module is used to project the projection style to the door leaf for real-time display.

[0006] The intelligent projection entry door obtains a regional cultural feature vector and a target user portrait feature vector, and obtains a projection style according to the regional cultural feature vector and the target user portrait feature vector. It combines regional cultural characteristics and target user behavior portraits, and can build a digital ecological interface with cultural vitality on the basis of physical protection of the entry door, enrich the function of the entry door, realize the content interaction of the intelligent and digital entry door, and solve the problem that the existing entry door uses a fixed UI template to display the same projection style to different visitors or guests, ignoring the different regional cultural preferences, and the projection style is easy to be out of touch with the interests and needs of the target object.

[0007] Preferably, the control module comprises:

[0008] A science and technology path unit is used to obtain science and technology interface information according to the target user portrait feature vector.

[0009] a culture path unit configured to obtain culture interface information according to the regional culture feature vector;

[0010] a screen projection style acquisition unit configured to obtain a screen projection style according to the science and technology interface information and the culture interface information;

[0011] The science and technology interface information is used to represent a user behavior mode, and the culture interface information is used to represent a visual scheme that integrates regional symbols.

[0012] Preferably, the intelligent screen projection entry door further comprises an environmental factor acquisition module configured to obtain real-time environmental factors, obtain an environmental adjustment factor according to the real-time environmental factors, and feed back the environmental adjustment factor to the control module. The control module further comprises:

[0013] an element weight acquisition unit configured to obtain science and technology element weights and culture element weights according to the regional culture feature vector, the target user portrait feature vector, and the environmental adjustment factor;

[0014] The screen projection style is obtained according to the science and technology interface information, the culture interface information, the science and technology element weights, and the culture element weights.

[0015] Preferably, the element weight acquisition unit comprises:

[0016] a first calculation sub-unit configured to obtain a first norm of the regional culture feature vector and a second norm of the target user portrait feature vector;

[0017] a second calculation sub-unit configured to correct the first norm according to the environmental adjustment factor, and calculate a norm sum between the second norm and the corrected first norm;

[0018] a mapping function sub-unit configured to map a ratio between the second norm and the norm sum by a Sigmoid function, and obtain the science and technology element weights and the culture element weights.

[0019] Preferably, the entry door further comprises a door handle installed on a door leaf, and a piezoelectric sensor in signal connection with the control module is installed on the door handle. When the control module receives a piezoelectric signal fed back by the piezoelectric sensor, an interaction instruction is triggered, and a preset interaction style is sent to the screen projection module. After the screen projection module receives the preset interaction style, the current screen projection style is switched to the preset interaction style.

[0020] An intelligent screen projection entry door control method applied to the intelligent screen projection entry door, which comprises the following steps:

[0021] Obtaining a regional culture characteristic vector and a target user portrait characteristic vector;

[0022] Obtaining a projection style according to the regional culture characteristic vector and the target user portrait characteristic vector;

[0023] Projecting the projection style to a door leaf for real-time display.

[0024] Preferably, the specific method for obtaining the projection style comprises the following steps:

[0025] Obtaining technology interface information according to the target user portrait characteristic vector;

[0026] Obtaining culture interface information according to the regional culture characteristic vector;

[0027] Obtaining the projection style according to the technology interface information and the culture interface information;

[0028] The technology interface information is used to represent a user behavior mode, and the culture interface information is used to represent a visual scheme integrating regional symbols.

[0029] Preferably, the specific method for obtaining the projection style according to the technology interface information and the culture interface information comprises the following steps:

[0030] Obtaining a real-time environmental factor, and obtaining an environmental adjustment factor according to the real-time environmental factor;

[0031] Obtaining technology element weights and culture element weights according to the regional culture characteristic vector, the target user portrait characteristic vector, and the environmental adjustment factor;

[0032] Obtaining the projection style according to the technology interface information, the culture interface information, the technology element weights, and the culture element weights.

[0033] Preferably, the specific method for obtaining the technology element weights and the culture element weights comprises the following steps:

[0034] Obtaining a first norm of the regional culture characteristic vector and a second norm of the target user portrait characteristic vector;

[0035] Correcting the first norm according to the environmental adjustment factor, and calculating a norm sum between the second norm and the corrected first norm;

[0036] Mapping a ratio between the second norm and the norm sum through a Sigmoid function to obtain the technology element weights and the culture element weights.

[0037] Preferably, the control method further comprises the following steps:

[0038] The interaction instruction is triggered when a piezoelectric signal is detected by a piezoelectric sensor installed on a door handle;

[0039] In response to the interaction instruction, a screen cutting operation is performed on the door leaf to switch the current screen projection style to a preset interaction style. BRIEF DESCRIPTION OF DRAWINGS

[0040] The present application can be further understood from the following description in conjunction with the drawings. The components in the drawings are not necessarily drawn to scale, but emphasis is instead placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0041] Figure 1 is an outdoor side view of an intelligent screen projection entry door in an embodiment of the present application;

[0042] Figure 2 is a functional structure schematic diagram of a control module in an embodiment of the present application;

[0043] Figure 3 is a functional structure schematic diagram of a control module in another embodiment of the present application;

[0044] Figure 4 is a functional structure schematic diagram of an element weight acquisition unit in an embodiment of the present application;

[0045] Figure 5 is a cross-sectional structure schematic diagram along line C-D in an embodiment of the present application; Figure 1

[0046] Figure 6 is a whole process schematic diagram of an intelligent screen projection entry door control method in an embodiment of the present application;

[0047] Figure 7 is a process schematic diagram of a specific method for acquiring a screen projection style in an embodiment of the present application;

[0048] Figure 8 is a process schematic diagram of a specific method for acquiring a screen projection style in another embodiment of the present application;

[0049] Figure 9 is a process schematic diagram of a specific method for acquiring a science and technology element weight and a culture element weight in an embodiment of the present application;

[0050] Figure 10 is a whole process schematic diagram of an intelligent screen projection entry door control method in another embodiment of the present application;

[0051] Figure 11 is a screen projection style randomly generated based on a bean bag AI large model in an embodiment of the present application;

[0052] Figure 12 ​is a screen projection style randomly generated based on a Baidu AI large model in an embodiment of the present application.

[0053] BRIEF DESCRIPTION OF DRAWINGS 1, door frame; 2, door leaf; 3, door handle. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present application clearer and more apparent, the present application will be further described in detail below in conjunction with embodiments thereof. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the protection scope of the present application.

[0055] It should be noted that when an element is referred to as being "fixed" to another element, it can be directly on the other element or there can be an intervening element. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or there can be an intervening element. The terms "vertical", "horizontal", "left", "right", and similar expressions used herein are for illustrative purposes only and are not intended to be limiting.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0057] The "first", "second" in the present application do not represent the specific number and order, but only for the name of the distinction.

[0058] As shown in the drawings, an intelligent screen projection entrance door, comprising a door frame 1, a door leaf 2 fixedly installed on the door frame. For the door leaf, a smart access control such as a fingerprint feature, a voice feature, a digital password and the like can be used to control the opening and closing of the door leaf, and a traditional mechanical key can also be used to control the opening and closing of the door leaf. Figure 1 The entrance door further comprises a screen projection module and a control module in signal connection with the screen projection module, the control module being used to acquire a regional culture feature vector and a target user portrait feature vector, acquire a screen projection style according to the regional culture feature vector and the target user portrait feature vector and send the screen projection style to the screen projection module, the screen projection module being used to project the screen projection style to the door leaf for real-time display.

[0059]

[0060] ​In order to realize the real-time display of the projection style, a glass substrate can be installed on the outdoor side of the door leaf, and the projection style is projected onto the glass substrate by a projection module such as a projector. At this time, the projection module can be installed on the wall or ceiling on the outdoor side, which is located above the door leaf and is arranged obliquely downward. In order to facilitate the adjustment of the relative angle between the projection module and the glass substrate, the projection module can be installed on the wall or ceiling by a 360-degree rotating holder.

[0061] The control module obtains the projection style by analyzing the regional culture feature vector and the target user portrait feature vector. Here, the regional culture features include architectural style, color preference, traditional pattern, and festival elements, and other multi-dimensional cultural elements. Each dimension of the cultural element corresponds to a cultural feature value, and the specific dimension of the cultural element is modified by modifying the cultural feature value. For example, assuming that the regional culture feature vector has 256 dimensions, the dimension space of 0-63 is defined as the architectural style, the dimension space of 64-127 is defined as the color preference, the dimension space of 128-191 is defined as the traditional pattern, and the dimension space of 192-255 is defined as the festival element. When the cultural feature value of the architectural style is 0.92, it is set to Huipai Matouqiang, and when the cultural feature value of the architectural style is 0.87, it is set to Beijing quadrangle. When the cultural feature value of the color preference is 0.95 and 0.88, the corresponding color preference is set to Jiangnan Qingdai color and Northeast Snow White, respectively. When the cultural feature value of the traditional pattern is 0.76, 0.81, and 0.93, the corresponding traditional pattern is set to cloud pattern, back-shaped pattern, and bamboo leaf pattern, respectively. The specific dimensions are shown in the following table:

[0062] Dimension Interval Cultural Element Data Example 0-63 Architectural Style Imperial Palace Wall = 0.92, Beijing Courtyard = 0.87 64-127 Color Preference Southern China Indigo = 0.95, Northeast Snow White = 0.88 128-191 Traditional Pattern Cloud Pattern = 0.76, Back-shaped Pattern = 0.81, Bamboo Leaf Pattern = 0.93 192-255 Festival Element Spring Festival = 0.99

[0063] Of course, according to actual needs, the multi-dimensional cultural elements can also include ink elements, layout preferences, and window lattice patterns. For example, when the cultural feature value of the layout preference is 0.93 and 0.85, the layout preference is set to symmetrical layout and white space composition, respectively; when the cultural feature value of the window lattice pattern is 0.78, it is set to garden window lattice pattern; and when the cultural feature value of the ink element is 0.93, it is set to snake year ink pattern.

[0064] The target user portrait features include brightness preference, technology acceptance, interaction frequency, privacy sensitivity, dynamic element preference, and other multi-dimensional behavior elements, which can be obtained based on a user behavior element database, or input and determined by the target user through a spreadsheet before the target user arrives. Each dimension of the behavior element corresponds to a behavior feature value, and the specific dimension of the behavior element is modified by modifying the behavior feature value. For example, when the behavior feature value of the technology acceptance is 0.91, it can be understood that the user has strong technology acceptance; and when the behavior feature value of the privacy sensitivity is 0.32, it can be understood that the user has low privacy demand. The specific dimensions are shown in the following table:

[0065] Dimension Space Behavior Element Data Example 0-31 Interaction Frequency 0.92 (High Frequency: ≥8 times / day) 32-63 Brightness Preference 0.88 (Preference > 400 lux) 64-95 Dynamic Element Preference 0.45 (Medium) 96-111 Technology Acceptance 0.91 (Very Strong) 112-127 Privacy Sensitivity 0.32 (Low Privacy Demand)

[0066] It should be noted that the above-mentioned cultural feature values and behavior feature values can be normalized to eliminate dimensional differences. Exemplarily, the regional cultural feature vector may be represented as The target user portrait feature vector may be represented as

[0067] After obtaining the regional cultural feature vector and the target user portrait feature vector, the screen projection style can be obtained according to the regional cultural feature vector and the target user portrait feature vector. Here, a relatively simple and feasible method is to extract cultural element keywords corresponding to the cultural feature values based on the regional cultural feature vector, and to extract behavior element keywords corresponding to the behavior feature values based on the target user portrait feature vector. Finally, the cultural element keywords and the behavior element keywords are input into the AI large model, and the AI large model randomly generates the screen projection style. As shown in Figure 11 and Figure 12 The keywords "ink bamboo shadow + moon white background + blank composition" are input into the bean bag AI large model and the Baidu AI large model, respectively, to obtain a screen projection style with high acceptability randomly generated.

[0068] As a preferred technical solution, as shown in Figure 2 The control module includes a technology path unit, a culture path unit, and a screen projection style acquisition unit. The technology path unit is used to obtain technology interface information according to the target user portrait feature vector, and the culture path unit is used to obtain culture interface information according to the regional cultural feature vector. The screen projection style acquisition unit is used to obtain the screen projection style according to the technology interface information and the culture interface information; wherein the technology interface information is used to represent the user behavior pattern, and the culture interface information is used to represent the visual scheme of the regional symbol fusion.

[0069] Here, the technology path unit takes the target user portrait feature vector as the input of the GAN (Generative Adversarial Networks), learns the user behavior pattern based on the generative adversarial network, and outputs technology interface information such as a dynamic UI interface with a resolution of 8K. Exemplarily, for a high-privacy target user, the typical technology interface information attribute is minimalist interface + low brightness, and for a technology enthusiast, the typical technology interface information attribute is holographic projection + real-time data stream. The culture path unit takes the regional culture feature vector as the input of the DP-GAN (Diversity-Promoting Generative Adversarial Network), and outputs cultural interface information for representing a visual scheme that fuses regional symbols based on the DP-GAN. Exemplarily, for a northern region, the typical cultural interface information attribute is gilded dragon pattern + scarlet background color + symmetrical layout, and for a southern region, the typical cultural interface information attribute is ink bamboo shadow + moon white background + white space composition.

[0070] Exemplarily, based on the generative adversarial network GAN, the target user portrait feature vector is taken as the input, and one kind of output technology interface information is: a cold light blue tone fluid interface, displaying real-time stock market data stream on the left, projecting an intelligent home control panel on the right, and floating traffic road condition information at the bottom. When the regional culture feature vector is composed of ink elements, color preference, symmetrical layout, and window lattice pattern, and the regional culture feature vector = [0.93, 0.95, 0.85, 0.78] (corresponding to the culture elements of snake year ink pattern + Jiangnan indigo color + white space composition + garden window lattice pattern), the is taken as the input of the GP-GAN, and one kind of output cultural interface information is: lotus flowers bloom as the temperature rises (32℃→ petal opening rate 85%) + snake pattern swimming speed is related to humidity (60%→ medium speed meandering).

[0071] After obtaining the science and technology interface information and the cultural interface information, the science and technology interface information and the cultural interface information can be dynamically fused to obtain a projection style. Specifically, the interface information and the cultural interface information can be combined and sent to an AI large model, and the AI large model automatically analyzes and generates the projection style. Of course, the projection style can also be displayed in layers, and the projection style can be divided into a base layer, a texture layer, and a dynamic layer, and then the science and technology interface information and the cultural interface information are selectively displayed. For example, the base layer is used to display a cold light blue tone fluid interface, the texture layer is mainly used to display a data stream, and the dynamic layer is used to dynamically display real-time stock market data stream or snake scale reflectivity changes with light, and display a snake pattern swimming + lotus blooming interface information in the upper left corner of the door leaf. In this way, by fusing the regional cultural feature vector and the target user portrait feature vector, and automatically generating the projection style based on the AI large model, a digital ecological interface with cultural vitality can be constructed on the basis of the physical protection of the entrance door, enriching the function of the entrance door and realizing the content interaction of the intelligent and digital entrance door.

[0072] Exemplarily, based on the target user portrait feature vector, the occupation, hobby, work place, and hometown of the target user can also be obtained, and a first layer mapping relationship between the personal features and the norm of the regional cultural characteristic vector and a second layer mapping relationship between the norm of the regional cultural characteristic vector and the preset projection style are constructed, and finally the actual projection style is obtained. For example, assuming that the personal feature is A, according to the first layer mapping relationship, the norm of the regional cultural characteristic vector corresponding to A is B, and according to the second layer mapping relationship, the preset projection style corresponding to B is C, and finally the preset projection style C is projected and displayed. Exemplarily, when the target user in Harbin approaches, the door leaf projects ice and snow lapis lazuli texture and full-screen couplets, and the target user in Shenzhen presents a dynamic matrix of neon lines; when the high manager of a Shenzhen technology company comes home, the projection style is a dynamic data stream interface + local Lingnan pattern decoration, and when a retired teacher in Xi'an visits, the projection style is an antique door nail interface + calligraphy welcome words. In this embodiment, by presetting the projection style, problems such as chaotic composition, spatial imbalance, detail distortion, and logical confusion conflict that may occur when the AI large model generates the projection style can be avoided, so that the projection style is more in line with the interest needs of the target user.

[0073] It should be noted that the target user is generally a visitor or a guest. Here, the standard cultural elements including architectural style, color preference, traditional pattern and festival elements corresponding to different places of origin / residence can be preset in the server in advance, and then the standard cultural elements corresponding to the personal information of the target user such as the place of origin / residence of the target user are obtained from the server, and finally the regional cultural characteristics are obtained based on the standard cultural elements. Preferably, the standard cultural elements corresponding to the place of origin of the target user are obtained from the server, and finally the regional cultural characteristics are obtained based on the standard cultural elements.

[0074] For the user behavior element database, the obtaining method includes: first, questionnaire survey is conducted for different regions, different age groups and different professional user groups to obtain the portrait characteristics of each age group of each profession of each region, and the average values of the multi-dimensional behavior elements such as brightness preference, technology acceptance, interaction frequency, privacy sensitivity and dynamic element preference of the portrait characteristics of the user groups are calculated, and then the standard portrait characteristics of the user groups of each age group of each profession under each region are obtained according to each behavior element average value of the user groups, and then the user historical behavior database is obtained according to the standard portrait characteristics. When the system detects a visitor or a guest, the personal information of the target user such as the place of origin, residence, age and profession is obtained, and then the matching standard portrait characteristics are extracted from the historical behavior element database as the target user portrait characteristics according to the personal information of the target user such as the place of origin, residence, age and profession. If one or more personal information in the place of origin, residence, age and profession information of the target user is missing, the missing personal information of the target user can be supplemented by randomly selecting the corresponding information, or the missing personal information of the target user can be supplemented by preset default personal information. For example, if the profession information of the target user is missing, one of the existing professions including "doctor", "nurse", "driver", "worker" and "chef" can be randomly selected as the profession information of the target user. Of course, the profession information of the previous target user can also be used as the profession information of the current target user. That is, based on big data technology, the standard portrait characteristics can be stored in the server in advance, and then the matching standard portrait characteristics are obtained as the target user portrait characteristics according to the personal information of the target user.

[0075] For the appointment visitor or guest (i.e. appointment target user), the smart projection home door manager or user can first obtain the personal information of the opposite party and obtain the target user portrait feature vector and the regional culture feature vector according to the appointment target user personal information, and then obtain the projection style according to the target user portrait feature vector and the regional culture feature vector to perform the projection display of the home door. The camera is installed outside the home door to obtain the face image information of the visitor, the identity information of the visitor is recognized based on the face image information, and the personal information is obtained according to the identity information. For the temporary visitor or guest, the identity information of the visitor can be obtained based on the face image information of the visitor obtained by the camera, and if the identity information cannot be matched with the pre-stored visitor identity information in the server, the projection display of the home door is performed by randomly selecting the projection style or selecting the projection style with the most display times in a preset time period (such as one week or one month) or selecting the preset default projection style.

[0076] In summary, the smart projection home door obtains the regional culture feature vector and the target user portrait feature vector, and obtains the projection style according to the regional culture feature vector and the target user portrait feature vector, which integrates the regional cultural characteristics and the target user behavior portrait. It can construct a digital ecological interface with cultural vitality on the basis of physical protection of the home door, enrich the function of the home door, realize the content interaction of the intelligent and digital home door, and solve the problem that the existing home door ignores different regional cultural preferences and the projection style is easy to be out of touch with the interest needs of the target object because it uses a fixed UI template to display the same set of projection style to different visitors or guests.

[0077] As a preferred technical solution, the smart projection home door further comprises an environment factor acquisition module, which is configured to obtain real-time environment factors, obtain an environment adjustment factor according to the real-time environment factors, and feed back the environment adjustment factor to the control module. The real-time environment factors include but are not limited to season, time and illumination. The function of the environment adjustment factor is to dynamically adjust the weight of the technology element and the weight of the cultural element according to the real-time environment factors, and to improve the flexibility and intelligent degree of the weight of the technology element and the weight of the cultural element. Here, the reference values corresponding to different real-time environment factors such as season, time, temperature and humidity, and illumination can be set first, and then the real-time environment factors are weighted and summed, and the weighted sum value is taken as the final environment adjustment factor. For example, if it is summer evening from 16:00 to 18:00, the environment adjustment factor is 0.7 or 0.8 to appropriately enhance the cultural path.

[0078] As Figure 3As shown, the control module further comprises an element weight acquisition unit. The element weight acquisition unit is configured to acquire a science and technology element weight and a culture element weight according to the regional culture feature vector, the target user portrait feature vector, and the environmental adjustment factor. The control module acquires the screen projection style according to the science and technology interface information and the culture interface information, specifically: acquires the screen projection style according to the science and technology interface information, the culture interface information, the science and technology element weight, and the culture element weight.

[0079] Exemplarily, the cultural element keywords corresponding to the culture feature values can be extracted based on the regional culture feature vector, and the behavior element keywords corresponding to the behavior feature values can be extracted based on the target user portrait feature vector, then the number of the cultural element keywords and the behavior element keywords can be selected according to the science and technology element weight and the culture element weight, and finally the selected cultural element keywords and behavior element keywords are input into the AI large model, and the AI large model randomly generates the screen projection style. For example, assuming that there are 10 cultural element keywords and 5 behavior element keywords in total, and the science and technology element weight and the culture element weight are 0.7 and 0.3 respectively, then 3 cultural element keywords (10*0.3=3) and 3 or 4 behavior element keywords (5*0.7=3.5, which can be rounded up or rounded down here) can be randomly selected from the cultural element keywords and the behavior element keywords, and then the randomly selected cultural element keywords and behavior element keywords are input into the AI large model. That is, the number of selected cultural element keywords = [total number of cultural element keywords * culture element weight], and the number of selected behavior element keywords = [total number of behavior element keywords * science and technology element weight], [ ] represents the rounding function.

[0080] Preferably, as shown in the first aspect, Figure 4 As shown, the element weight acquisition unit comprises a first calculation sub-unit, a second calculation sub-unit, and a mapping function sub-unit. The first calculation sub-unit is configured to acquire a first norm of the regional culture feature vector and a second norm of the target user portrait feature vector; the second calculation sub-unit is configured to correct the first norm according to the environmental adjustment factor, and calculate a norm sum between the second norm and the corrected first norm; and the mapping function sub-unit is configured to map a ratio between the second norm and the norm sum by a Sigmoid function, and acquire the science and technology element weight and the culture element weight.

[0081] The first norm represents the length of the regional culture characteristic vector, which can be understood as the aggregation strength of the regional culture elements. The second norm represents the length of the target user portrait characteristic vector, which is essentially the quantitative strength of the target user behavior mode. The first norm and the second norm are both L2 norms. The mapping function subunit is used to map the ratio between the second norm and the norm sum to the 0-1 interval through a Sigmoid function. By obtaining the science and technology element weight and the culture element weight through the above method, the intelligent screen projection entry door can better integrate the target user behavior mode, the regional culture characteristics and the real-time environmental factors, and generate a personalized display style matched with the target user according to the personal behavior habits of the target user in different regions.

[0082] As a preferred technical solution, as shown in Figure 1 and Figure 5 The entry door further comprises a door handle 3 installed on the door leaf, and a piezoelectric sensor connected with the control module is installed on the door handle. When the control module receives the piezoelectric signal fed back by the piezoelectric sensor, the interactive instruction is triggered and the preset interaction style is sent to the screen projection module. After the screen projection module receives the preset interaction style, the current screen projection style is switched to the preset interaction style.

[0083] The piezoelectric sensor is installed to obtain the trigger signal for interaction with the target user. The preset interaction style can be preset by a technician and stored in the control module. For example, the preset interaction style can be different dynamic effects such as snake year effect, gilded dragon pattern effect and financial data flow effect. By obtaining the trigger signal and switching the preset interaction style based on the trigger interaction instruction, the interactivity of the intelligent screen projection entry door can be enhanced and its functions can be enriched.

[0084] As shown in Figure 6 An embodiment of the present application provides a control method of an intelligent screen projection entry door, which is applied to the intelligent screen projection entry door and comprises the following steps:

[0085] S1, obtain a regional culture feature vector and a target user portrait feature vector. The regional culture features include architectural style, color preference, traditional pattern, and festival elements, and other multi-dimensional cultural elements. Each dimension of the cultural elements corresponds to a cultural feature value, and the specific dimension of the cultural elements is modified by modifying the cultural feature value. For example, assuming that the regional culture feature vector has a total of 256 dimensions, the dimension space of 0-63 can be defined as architectural style, the dimension space of 64-127 can be defined as color preference, the dimension space of 128-191 can be defined as traditional pattern, and the dimension space of 192-255 can be defined as festival elements. The target user portrait features include brightness preference, technology acceptance, interaction frequency, privacy sensitivity, dynamic element preference, and other multi-dimensional behavior elements, which can be obtained based on a user behavior element database. Each dimension of the behavior elements corresponds to a behavior feature value, and the specific dimension of the behavior elements is modified by modifying the behavior feature value. For example, the regional culture feature vector may be represented as The target user portrait feature vector may be represented as

[0086] S2, obtain a projection style according to the regional culture feature vector and the target user portrait feature vector.

[0087] As a preferred technical solution, as shown in Figure 7 in step S2, the specific method for obtaining the projection style includes the following steps:

[0088] S21, obtain technology interface information according to the target user portrait feature vector. Here, the target user portrait feature vector can be used as the input of the GAN (Generative Adversarial Networks), and the user behavior mode can be learned based on the GAN to output technology interface information such as a dynamic UI interface with a resolution of 8K. For example, for a high-privacy target user, the typical technology interface information has the attributes of minimalist interface + low brightness, and for a technology enthusiast, the typical technology interface information has the attributes of holographic projection + real-time data stream.

[0089] S22, obtain culture interface information according to the regional culture feature vector. Here, the regional culture feature vector can be used as the input of the DP-GAN, and the culture interface information used to represent the visual scheme of the fused regional symbols can be output based on the DP-GAN. For example, for a northern region, the typical culture interface information has the attributes of gold-plated dragon pattern + red background color + symmetrical layout, and for a southern region, the typical culture interface information has the attributes of ink bamboo shadow + moon white background + white space composition.

[0090] S23, obtain the projection style based on the technology interface information and the cultural interface information. The technology interface information is used to represent user behavior patterns, and the cultural interface information is used to represent a visual scheme that integrates regional symbols.

[0091] Specifically, the interface information and cultural interface information can be merged and sent to an AI model, which will then automatically analyze and generate the projection style. Alternatively, the projection style can be displayed in layers, divided into a base layer, a texture layer, and a dynamic layer, and then the technological interface information and cultural interface information can be selectively displayed.

[0092] S3, project the projection pattern onto the door panel for real-time display.

[0093] like Figure 8 As shown, in step 23, the specific method for obtaining the projection style based on the technology interface information and the culture interface information includes the following steps:

[0094] S231, Obtain real-time environmental factors, and obtain environmental adjustment factors based on the real-time environmental factors.

[0095] Specifically, real-time environmental factors include, but are not limited to, season, time, and lighting. The role of the environmental adjustment factor is to dynamically adjust the weights of technological and cultural elements based on real-time environmental factors, thereby improving the flexibility and intelligence of the weights of technological and cultural elements.

[0096] S232, obtain the weights of technological elements and cultural elements based on the regional cultural feature vector, the target user profile feature vector, and the environmental adjustment factor.

[0097] Specifically, such as Figure 9 As shown, the specific methods for obtaining the weights of technology elements and cultural elements include the following steps:

[0098] S2321, Obtain the first norm of the regional cultural feature vector and the second norm of the target user profile feature vector.

[0099] S2322, The first norm is corrected according to the environmental adjustment factor, and the norm sum between the second norm and the corrected first norm is calculated.

[0100] S2323: The ratio between the second norm and the norm sum is mapped using the Sigmoid function to obtain the weights of the technology element and the cultural element.

[0101] Specifically, suppose the first norm is represented as The second norm is expressed as An environmental adjustment factor is denoted as γ, and a technology element weight is denoted as α. A cultural element weight = 1 - technology element weight. Wherein, σ(·) is a Sigmoid function, and β represents a user-defined coefficient, which is generally set to 0.5 to balance the technology path and the cultural path. For the user-defined coefficient, the range is set to 0.1-0.9, which is 0.1, the target user preference is set to strong cultural preference, and which is 0.9, the target user preference is set to strong technology preference. The advantage of setting the user-defined coefficient is that the target user's preference can be adjusted according to the actual situation, so that the technology element weight and the cultural element weight finally obtained are adapted to the target user. The user-defined coefficient acts on the adjustment of the technology element weight and the cultural element weight to provide an autonomous decision path, which, combined with the environmental adjustment factor, makes the projection style finally presented on the door leaf more suitable for the needs of the target user.

[0102] S233, obtaining a projection style according to the technology interface information, the cultural interface information, the technology element weight, and the cultural element weight.

[0103] In summary, the intelligent projection home door control method obtains a regional cultural feature vector and a target user portrait feature vector, and obtains a projection style according to the regional cultural feature vector and the target user portrait feature vector, which combines regional cultural characteristics and target user behavior portraits, and can construct a digital ecological interface with cultural vitality on the basis of physical protection of the home door, enrich the function of the home door, realize the intelligent and digital content interaction of the home door, and solve the problem that the existing home door ignores different regional cultural preferences and the projection style is easy to be out of touch with the interests and needs of the target object because it uses a fixed UI template to show the same set of projection style to different visitors or guests.

[0104] As a preferred technical solution, as shown in Figure 10 The control method further includes the following steps:

[0105] S4, triggering an interaction instruction when a piezoelectric signal is detected by a piezoelectric sensor installed on the door handle.

[0106] S5, in response to the interaction instruction, performing a screen cutting operation on the door leaf to switch the current projection style to a preset interaction style.

[0107] Exemplarily, the preset interaction style can be different dynamic special effects, such as a snake year special effect, a gold dragon special effect, and a financial data flow special effect, and the like. In this way, by acquiring the trigger signal, the preset interaction style is switched based on the trigger interaction instruction, the interactivity of the smart screen-in door can be enhanced and the function thereof can be enriched. Of course, in response to the interaction instruction, the screen-in style displayed on the door leaf can also be enhanced, and the preset interaction style, such as a special effect picture, is superimposed on the current screen-in style.

[0108] The technical feature vectors of the above-described embodiments can be combined in any manner. To make the description simple, all possible combinations of the technical feature vectors in the above-described embodiments are not described, but as long as the combinations of the technical feature vectors do not contradict each other, they should be considered as falling within the scope of the present disclosure.

[0109] The above-described embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the scope of the patent. It should be pointed out that, for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which all fall within the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A smart projection entrance door, comprising a door frame and a door leaf fixedly installed on the door frame, characterized in that, The smart projection entrance door also includes a projection module and a control module connected to the projection module by a signal. The control module is used to acquire regional cultural feature vectors and target user profile feature vectors, acquire projection patterns based on the regional cultural feature vectors and target user profile feature vectors, and send the projection patterns to the projection module. The projection module is used to project the projection patterns onto the door leaf for real-time display.

2. The intelligent projection entrance door as described in claim 1, characterized in that, The control module includes: The technology path unit is used to obtain technology interface information based on the target user profile feature vector. The cultural path unit is used to obtain cultural interface information based on the regional cultural feature vector. The screen projection style acquisition unit is used to acquire the screen projection style based on the technology interface information and the culture interface information. The technology interface information is used to characterize user behavior patterns, and the cultural interface information is used to characterize visual schemes that integrate regional symbols.

3. The intelligent projection entrance door as described in claim 2, characterized in that, The smart projection entrance door also includes an environmental factor acquisition module, which is used to acquire real-time environmental factors, acquire environmental adjustment factors based on the real-time environmental factors, and feed the environmental adjustment factors back to the control module. The control module also includes: The element weight acquisition unit is used to acquire the weights of technological elements and cultural elements based on the regional cultural feature vector, the target user profile feature vector, and the environmental adjustment factor. The specific method for obtaining the projection style based on the technology interface information and the culture interface information is as follows: the projection style is obtained based on the technology interface information, the culture interface information, the weight of the technology element, and the weight of the culture element.

4. The intelligent projection entrance door as described in claim 3, characterized in that, The element weight acquisition unit includes: The first calculation subunit is used to obtain the first norm of the regional cultural feature vector and the second norm of the target user profile feature vector. The second calculation subunit is used to correct the first norm according to the environmental adjustment factor and calculate the norm sum between the second norm and the corrected first norm; The mapping function subunit is used to map the ratio between the second norm and the norm sum using the Sigmoid function to obtain the weights of the technology element and the cultural element.

5. The intelligent projection entrance door as described in claim 4, characterized in that, The entrance door also includes a door handle installed on the door leaf. The door handle is equipped with a piezoelectric sensor that is connected to the control module. When the control module receives the piezoelectric signal fed back by the piezoelectric sensor, it triggers an interaction command and sends a preset interaction style to the projection module. After receiving the preset interaction style, the projection module switches the current projection style to the preset interaction style.

6. A method for controlling an intelligent projection entrance door, applied to an intelligent projection entrance door as described in any one of claims 1-5, characterized in that, The control method includes the following steps: Obtain regional cultural feature vectors and target user profile feature vectors; The projection style is obtained based on the regional cultural feature vector and the target user profile feature vector; The projection style is projected onto the door panel for real-time display.

7. The intelligent screen projection entrance door control method as described in claim 6, characterized in that, The specific steps to obtain the screen mirroring style include the following: Obtain technology interface information based on the target user profile feature vector; Cultural interface information is obtained based on the regional cultural feature vector; The projection style is obtained based on the technology interface information and the culture interface information; The technology interface information is used to characterize user behavior patterns, and the cultural interface information is used to characterize visual schemes that integrate regional symbols.

8. The intelligent screen projection entrance door control method as described in claim 7, characterized in that, The specific method for obtaining the projection style based on the technology interface information and the culture interface information includes the following steps: Obtain real-time environmental factors, and obtain environmental adjustment factors based on the real-time environmental factors; The weights of technological elements and cultural elements are obtained based on the regional cultural feature vector, the target user profile feature vector, and the environmental adjustment factors. The projection style is obtained based on the technology interface information, cultural interface information, technology element weights, and cultural element weights.

9. The intelligent screen projection entrance door control method as described in claim 8, characterized in that, The specific methods for obtaining the weights of technology elements and cultural elements include the following steps: Obtain the first norm of the regional cultural feature vector and the second norm of the target user profile feature vector; The first norm is corrected according to the environmental adjustment factor, and the norm sum between the second norm and the corrected first norm is calculated; By mapping the ratio between the second norm and the sum of norms using the Sigmoid function, the weights of the technology element and the cultural element are obtained.

10. The intelligent screen projection entrance door control method as described in claim 9, characterized in that, The control method further includes the following steps: An interactive command is triggered when a piezoelectric signal is detected by a piezoelectric sensor installed on the door handle. In response to the interaction command, the door panel is switched to a preset interaction style.

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