Projection system, projection apparatus, and method of controlling projection apparatus

Abstract

The invention provides a projection system, a projection apparatus, and a method of controlling the projection apparatus. The method for controlling the projection device comprises the following steps: receiving travel data from the projection device or a terminal device in an artificial intelligence model; generating at least one of a standard instruction and a personalized picture in an artificial intelligence model based on the travel data and the rule instruction; after the projection device receives the standard instruction, operation corresponding to the travel data is executed on the projection device based on the standard instruction; and after the projection device receives the personalized picture, projecting the personalized picture by means of the projection device. According to the projection system, the projection device and the method for controlling the projection device, the reminding service can be individually provided.

Description

Technical Field

[0001] The present invention relates to a display technology, and in particular to a projection system, a projection device and a method for controlling the projection device. Background Art

[0002] Generally speaking, the control method of the projection device (projector) is mostly performed by the user manually operating a remote controller of the projection device or a human-machine interface on the projection device. Therefore, the traditional control method of the projection device is quite inconvenient.

[0003] Specifically, the user needs to have relevant knowledge of the projection device. For example, when adjusting the function of the projection device by means of a remote control, the user needs to learn the meaning of each item on the menu of the projection device and how to adjust the operation settings of the projection device according to the usage scenario, and the user needs to manually adjust the operation settings of the projection device. Therefore, the existing adjustment operation setting method of the projection device is relatively inconvenient.

[0004] The "background technology" section is only used to help understand the content of the present invention. Therefore, the content disclosed in the "background technology" section may contain some prior art that is not known to those skilled in the art. The content disclosed in the "background technology" section does not mean that the content or the problem to be solved by one or more embodiments of the present invention has been known or recognized by those skilled in the art before the application of the present invention. Summary of the invention

[0005] The invention provides a projection system, a projection device and a method for controlling the projection device, which can provide personalized reminder services.

[0006] Other purposes and advantages of the present invention can be further understood from the technical features disclosed in the present invention.

[0007] To achieve one or part or all of the above purposes or other purposes, the method for controlling a projection device of the present invention includes the following steps: receiving travel data from a projection device or a terminal device in an artificial intelligence model; generating at least one of a standard instruction and a personalized picture in the artificial intelligence model based on the travel data and rule instructions; after the projection device receives the standard instruction, executing an operation corresponding to the travel data in the projection device based on the standard instruction; and after the projection device receives the personalized picture, projecting the personalized picture by the projection device.

[0008] To achieve one or part or all of the above purposes or other purposes, the projection system of the present invention includes a projection device, a terminal device and an artificial intelligence model. The artificial intelligence model is connected to the projection device and the terminal device for communication, and the artificial intelligence model is used to receive the travel data from the projection device or the terminal device, and generate at least one of a standard instruction and a personalized picture based on the travel data and the rule instruction. In response to the projection device receiving the standard instruction, the projection device is used to perform an operation corresponding to the travel data based on the standard instruction; in response to the projection device receiving the personalized picture, the projection device is used to project the personalized picture.

[0009] To achieve one or part or all of the above purposes or other purposes, the projection device of the present invention includes: a projection module, a communication interface and at least one processor. The communication interface is used to obtain travel data and to receive at least one of a standard instruction and a personalized picture corresponding to the travel data, wherein the travel data includes travel time. The at least one processor is electrically connected to the communication interface and the projection module and is configured to execute: based on the standard instruction, execute an operation corresponding to the travel data at the travel time; and based on the personalized picture, drive the projection module to project the personalized picture at the travel time.

[0010] Based on the above, the present disclosure can provide personalized reminder services and actively make dynamic adjustments based on user feedback and travel information to provide a more personalized and effective experience to meet the needs of different users. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 is a schematic diagram of a projection system according to a first embodiment of the present invention.

[0012] Figure 2 is a schematic diagram of a projection device according to a first embodiment of the present invention.

[0013] Figure 3 is a flow chart of a method for controlling a projection device according to a first embodiment of the present invention.

[0014] Figure 4 is a schematic diagram of a projection system according to a second embodiment of the present invention.

[0015] Figure 5 is a schematic diagram of a projection system according to a third embodiment of the present invention.

[0016] Figure 6 is a schematic diagram of a projection system according to a fourth embodiment of the present invention.

[0017] Fig. 7A is a schematic diagram of a personalized picture corresponding to an alarm event according to a fifth embodiment of the present invention.

[0018] Figure 7B is a schematic diagram of a personalized picture corresponding to a snooze mode according to a fifth embodiment of the present invention.

[0019] Figure 7C 4 is a schematic diagram of a personalized picture corresponding to a travel event according to a fifth embodiment of the present invention.

[0020] Figure 8 is a schematic diagram of a personalized picture according to a sixth embodiment of the present invention.

[0021] Fig. 9 is a schematic diagram of a control flow of a projection system according to a seventh embodiment of the present invention.

[0022] Fig.10 is a schematic diagram of a control flow of a projection system according to an eighth embodiment of the present invention.

[0023] Reference numerals list

[0024] 100: Electronic devices

[0025] 10: Artificial Intelligence Model

[0026] 20: Projection device

[0027] 30: Terminal device

[0028] 40: Cloud Server

[0029] 51: Natural Language Model

[0030] 52: Image Generation Model

[0031] 60: User

[0032] 210: Processor

[0033] 220: Projection module

[0034] 230: Communication interface

[0035] 240: Storage

[0036] 250: Speaker

[0037] 710: Alarm picture

[0038] 711, 721, 731, 801: Time

[0039] 713, 723, 733, 803: text messages

[0040] 725: Alarm icon

[0041] 720: Itinerary Pictures

[0042] 735, 805: Itinerary list

[0043] 807: Reminders List

[0044] 809: News Information

[0045] 810: Personalized pictures

[0046] S305-320: Steps

[0047] S501~S510: Steps

[0048] S601~S609: Steps

[0049] S905~S940: Steps

[0050] S1005~S1040: steps. DETAILED DESCRIPTION

[0051] The above and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of a preferred embodiment with reference to the drawings. The directional terms (e.g., up, down, left, right, front or back, etc.) mentioned in the following embodiments are only referenced to the directions of the attached drawings. Therefore, the directional terms used are used to illustrate and not to limit the present invention.

[0052] Figure 1 is a schematic diagram of a projection system according to a first embodiment of the present invention. Figure 1 The projection system 100 includes an artificial intelligence (AI) model 10, a projection device 20, and a terminal device 30. The artificial intelligence model 10, the projection device 20, and the terminal device 30 communicate with each other via wired and / or wireless communication.

[0053] Figure 2 is a schematic diagram of a projection device according to a first embodiment of the present invention. Figure 2 The projection device 20 includes a processor 210, a projection module 220, a communication interface 230, and a storage 240, and optionally a speaker 250. The processor 210 is coupled to the projection module 220, the communication interface 230, the storage 240, and the speaker 250. The number of the processor 210 can be one or more, and for the convenience of description, only one processor 210 is shown.

[0054] The processor 210 may be, for example, a central processing unit (CPU), a physical processing unit (PPU), a programmable microprocessor (Microprocessor), an embedded control chip, a digital signal processor (DSP), an application specific integrated circuit (ASIC) or other similar devices. The multiple processors 210 may be, for example, a combination of the above processors.

[0055] The projection module 220 is used to project multimedia content onto a projection target (e.g., a screen, a desktop, or a wall). The projection module 220 includes an imaging element (e.g., a light valve), a projection lens, a light source (e.g., a light emitting diode (LED), a laser diode (LD), or a combination thereof), an optical element for transmitting a light beam (e.g., a reflector, a beam splitter, etc.), and other components.

[0056] The communication interface 230 is used to communicate with other devices or communication networks to send and receive signals through the network. The communication interface 230 may include a wired communication interface and / or a wireless communication interface. The wired communication interface may be implemented using a Universal Serial Bus (USB) port, a General Purpose Interface Bus (GPIB) port, or a Local Area Network (LAN) port. The wireless communication interface may be implemented using a wireless local area network (WLAN) interface, a cellular network communication interface, or a combination thereof.

[0057] The storage 240 may be implemented by any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk or other similar devices or a combination of these devices. The storage 240 may exist independently and be connected to at least one processor 210 via a communication bus, or the storage 240 may be integrated with at least one processor 210. The storage 240 may include one or more source code segments, which are executed by at least one processor 210 after being installed.

[0058] The speaker 250 is, for example, a speaker. In this embodiment, the speaker 250 is disposed in the projection device 20. In other embodiments, the speaker 250 may be an independent device, which is connected to the communication interface 230 of the projection device 20 via a wired transmission interface such as an audio cable or a wireless transmission protocol such as Bluetooth.

[0059] In this embodiment, the projection system 100 can provide a function of remotely starting the projection device 20. For example, the user uses the terminal device 30 to control when the projection device 20 is turned on and started using the local area network. The terminal device 30 is, for example, a user's smart phone, smart watch, smart bracelet, tablet computer, notebook computer, or other electronic product with networking function.

[0060] In this embodiment, the artificial intelligence model 10 includes at least one chatbot with a machine learning algorithm. The artificial intelligence model 10 can be set in the projection device 20 and coupled to the processor 210 of the projection device 20, or the artificial intelligence model 10 can be set in the cloud server. The storage of the cloud server or the projection device 20 is used to store the chatbot with a machine learning algorithm, and the processor of the cloud server or the projection device 20 is used to execute the above algorithm to implement the following method of controlling the projection device. Figure 3 is a flow chart of a method for controlling a projection device according to a first embodiment of the present invention. Figure 1 to Figure 3 In step S305, the artificial intelligence model 10 receives the travel data from the projection device 20 or the terminal device 30. In step S310, based on the travel data and the rule instruction, the artificial intelligence model 10 generates at least one of a standard instruction and a personalized picture. The travel data includes at least one of an alarm event and a travel event. The personalized picture is, for example, the desktop of the projection device 20 (the background image projected by the projection device 20).

[0061] In step S315, after the projection device 20 receives the standard instruction, the processor 210 of the projection device 20 performs an operation corresponding to the travel data in the projection device 20 based on the standard instruction. The operation includes at least one of: a wake-up action, an alarm playing action, a brightness adjustment action, a projection mode adjustment action, a reminder playing action, and a desktop change action. In step S320, after the projection device 20 receives the personalized picture, the projection device 20 projects the personalized picture.

[0062] Figure 4 is a schematic diagram of a projection system according to a second embodiment of the present invention. Figure 4This embodiment is an application example of the first embodiment. The projection system 100 may further include a cloud server 40. The cloud server 40 stores rule instructions. The rule instructions are used to limit the standard instructions generated by the artificial intelligence model 10 to comply with the operations executable by the projection device 20, and to limit the personalized pictures generated by the artificial intelligence model 10 to correspond to the travel data. The cloud server 40 is used to receive at least one of the standard instructions and personalized pictures from the artificial intelligence model 10.

[0063] The cloud server 40 includes a processor, a communication device, and a storage device. The storage device is used to store one or more source code snippets, and the processor is used to execute the one or more source code snippets. The communication device is used to communicate with the projection device 20 and the artificial intelligence model 10. In this embodiment, the projection device 20, the artificial intelligence model 10, and the cloud server 40 are implemented by three independent hardware devices, and the artificial intelligence model 10 is, for example, set in a third-party server. In other embodiments, the projection device 20 and the cloud server 40 can be integrated into one hardware device.

[0064] The projection device 20 or the terminal device 30 is used to transmit the itinerary data to the cloud server 40, and then the received itinerary data and the corresponding rule instructions are transmitted to the artificial intelligence model 10 via the cloud server 40. Afterwards, based on the itinerary data and the rule instructions, at least one of a standard instruction and a personalized picture is generated in the artificial intelligence model 10 and transmitted to the cloud server 40.

[0065] The travel data includes the travel time corresponding to each event (travel event and alarm event). After receiving the standard command and the personalized image, the cloud server 40 transmits the standard command and the personalized image to the projection device 20 at the travel time corresponding to the travel data.

[0066] After receiving the standard instruction from the artificial intelligence model 10, the cloud server 40 may convert the standard instruction into a control code and transmit the control code to the projection device 20. The standard instruction may include an operation to be performed and a travel time for performing the operation. In one embodiment, the cloud server 40 may convert the operation to be performed in the standard instruction into a control code executable by the projection device 20, and transmit the control code to the projection device 20 at the travel time included in the standard instruction, so that the projection device 20 executes the control code at the travel time, and then performs the operation corresponding to the travel data.

[0067] In another embodiment, the cloud server 40 may also transmit at least one of the control code and the personalized image to the terminal device 30 , and then the terminal device 30 transmits at least one of the control code and the personalized image to the projection device 20 during the travel time.

[0068] In other embodiments, the operation of converting the standard command into the control code may also be performed by the terminal device 30 or the projection device 20 .

[0069] In one embodiment, the travel data includes an alarm event, and the travel time corresponding to the alarm event is, for example, a first designated time. The artificial intelligence model 10 can be used to generate a first standard instruction and a first picture corresponding to the alarm event based on the alarm event and the rule instruction. The cloud server 40 transmits the first standard instruction and the first picture to the projection device 20 at the first designated time corresponding to the alarm event. After the projection device 20 receives the first standard instruction and the first picture, it projects the first picture and performs a first operation based on the first standard instruction. The first operation, for example, includes driving the speaker 250 to emit a sound signal and driving the projection module 220 to adjust the display brightness. The speaker 250 emits a sound signal, for example, from small to large, and the display brightness of the projection module 220, for example, from dark to bright.

[0070] The travel data may also include travel events, and the travel time corresponding to the travel event is, for example, a second designated time. The artificial intelligence model 10 can be used to generate a second standard instruction and a second picture corresponding to the travel event based on the travel event and the rule instruction. The cloud server 40 transmits the second standard instruction and the second picture to the projection device 20 at the second designated time corresponding to the travel event. After the projection device 20 receives the second standard instruction and the second picture, it projects the second picture and performs a second operation based on the second standard instruction. The second operation, for example, includes driving the projection module 220 to adjust the display brightness (brightness adjustment action) and projecting a reminder corresponding to the travel event (reminder playback action).

[0071] In one embodiment, the user can control the projection device 20 (or the terminal device 30) by text control, voice control, or by touching the display screen of the projection device 20 (or the terminal device 30), so that the projection device 20 (or the terminal device 30) receives the corresponding control signal. After the projection device 20 (or the terminal device 30) receives the control signal, the control signal is transmitted to the artificial intelligence model 10 by the cloud server 40. The artificial intelligence model 10 generates a third standard instruction based on the control signal and the rule instruction, and transmits the third standard instruction to the cloud server 40. The cloud server 40 transmits the third standard instruction to the projection device 20, and after the projection device 20 receives the third standard instruction, it performs a third operation based on the third standard instruction. The third operation, for example, includes stopping driving the speaker 250 to emit a sound signal and driving the projection module 220 to adjust the display brightness to dim.

[0072] Figure 5 is a schematic diagram of a projection system according to a third embodiment of the present invention. Figure 5This embodiment is an application example of the first embodiment. The artificial intelligence model 10 also includes a natural language model 51 and a picture generation model 52. The rule instruction includes a first rule instruction and a second rule instruction. The natural language model 51 is used to generate a standard instruction based on the itinerary data and the first rule instruction. The picture generation model 52 is used to generate a personalized picture based on the itinerary data and the second rule instruction.

[0073] The natural language model 51 can be any pre-trained chatbot such as Chat Generative Pre-trained Transformer (ChatGPT), Microsoft Bing, Google Bard or ERNIEBot, or it can be a dedicated chatbot trained with data in a specific field. The image generation model 52 is, for example, any trained intelligent image generation model such as Jasper Art, Midjourney, DALL-E2, DALL-E3, Stability AIDreamStudio, Wombo, Stable Diffusion, etc. The natural language model 51 and the image generation model 52 can also be separately trained models. The natural language model 51 and the image generation model 52 can be set in the cloud server 40 or a third-party cloud server, and executed by the processor of the cloud server 40 or the third-party cloud server.

[0074] In this embodiment, the user inputs the travel data into the projection device 20. Then, as shown in step S501, the projection device 20 transmits the travel data to the cloud server 40. In step S503, the cloud server 40 transmits the travel data and the first rule instruction to the natural language model 51 to generate a standard instruction in the natural language model 51. In step S505, the cloud server 40 transmits the travel data and the second rule instruction to the image generation model 52 to generate a personalized image in the image generation model 52.

[0075] In step S507, the cloud server 40 receives the standard command from the natural language model 51. In step S509, the cloud server 40 receives the personalized image from the image generation model 52. After the cloud server 40 converts the standard command into a control code executable by the projection device 20, in step S510, the control code and the personalized image are transmitted to the projection device 20.

[0076] In one embodiment, the natural language model 51 is used to generate a standard instruction based on the itinerary data and the first rule instruction, including instructing the projection device 20 to project a reminder item corresponding to the itinerary data. The image generation model 52 is used to generate a personalized image based on the itinerary data, the second rule instruction and the above-mentioned reminder item.

[0077] The first rule instruction is used to limit the natural language model 51 to generate a standard instruction that conforms to the itinerary data and is executable by the projection device 20 for the itinerary data. The first rule instruction and the second rule instruction may be pre-stored in the cloud server 40, or the second rule instruction may be generated by the natural language model 51. That is, the natural language model 51 generates the second rule instruction while generating the standard instruction based on the itinerary data from the cloud server 40 and the first rule instruction, and the natural language model 51 transmits the second rule instruction to the cloud server 40. The cloud server 40 transmits the second rule instruction to the image generation model 52, so that the image generation model 52 generates a personalized image based on the itinerary data and the second rule instruction, and then transmits the personalized image to the cloud server 40.

[0078] For example, the first rule instruction also includes "please generate a drawing instruction readable by the picture generation model based on the keywords of the itinerary data". The drawing instruction is the second rule instruction. For example, when the natural language model 51 analyzes that the keywords of the itinerary data are related to Christmas, the second rule instruction generated by the natural language model 51 is, for example, "please generate a picture about Christmas".

[0079] Figure 6 is a schematic diagram of a projection system according to a fourth embodiment of the present invention. Figure 6 This embodiment is an application example of the first embodiment. In step S601, the user 60 can use the terminal device 30 to input the itinerary data, and in step S603, the itinerary data is transmitted to the cloud server 40 through the terminal device 30. In step S605, the cloud server 40 transmits the itinerary data and the rule instructions to the artificial intelligence model 10. In the artificial intelligence model 10, standard instructions and / or personalized pictures are generated.

[0080] Next, in step S607, the artificial intelligence model 10 transmits at least one of the standard command and the personalized image to the cloud server 40. In the cloud server 40, the standard command is converted into a control code executable by the projection device 20. Thereafter, in step S609, the cloud server 40 transmits the control code and the personalized image to the projection device 20.

[0081] In one embodiment, the projection system 100 can further realize the function of using the projection device 20 as a smart alarm clock. Figure 7A to Figure 7CTo explain.

[0082] Fig. 7A is a schematic diagram of a personalized picture corresponding to an alarm event according to a fifth embodiment of the present invention. Figure 7B is a schematic diagram of a personalized picture corresponding to a snooze mode according to a fifth embodiment of the present invention. Figure 7C is a schematic diagram of a personalized picture corresponding to a travel event according to the fifth embodiment of the present invention. The fifth embodiment is an application example of the first embodiment. In the fifth embodiment, it is assumed that the user uses the terminal device 30 or the projection device 20 to set an alarm event for waking up at 10:00 a.m. on Saturday, December 9, 2023 (the first designated time is 10:00 a.m. on Saturday), and sets multiple travel events (including corresponding multiple travel times) on Saturday.

[0083] The cloud server 40 transmits the travel data (including alarm events and travel events) to the artificial intelligence model 10, and then the artificial intelligence model 10 generates a first standard instruction and an alarm picture 710 (first picture) corresponding to the alarm event, and generates a second standard instruction and a travel picture 720 (second picture) corresponding to the travel event. The cloud server 40 converts the first standard instruction and the second standard instruction into corresponding control codes.

[0084] At 10:00 am on Saturday, December 9, 2023, the cloud server 40 transmits the alarm picture 710 and the first standard instruction to the projection device 20. For example, the first standard instruction includes instructions for instructing the projection device 20 to perform a wake-up action, an alarm playing action, a brightness adjustment action, and a desktop change action. After the projection device 20 performs a wake-up action (powers on) based on the first standard instruction, the processor 210 controls the projection module 220 to perform a brightness adjustment action so that the brightness of the light source gradually changes from dark to bright, and then performs a desktop change action, projects the alarm picture 710, and performs an alarm playing action, driving the speaker 250 to play the alarm sound effect. For example, by adjusting the light source of the projection device 20, the sunrise effect can be simulated, and the brightness of the light source can be gradually increased to wake up the user in a more natural way.

[0085] like Fig. 7A As shown, the projection device 20 uses the alarm picture 710 as the desktop. The first standard instruction may also include instructions for instructing the projection device 20 to perform a reminder playback action, for example, displaying the current time 711 and text information 713 corresponding to the alarm event on the alarm picture 710.

[0086] During the process of playing the alarm sound effect, if the projection device 20 receives a control signal from the user that the projection device 20 wants to enter the snooze mode, the projection device 20 transmits the control signal to the artificial intelligence model 10. The artificial intelligence model 10 generates a third standard instruction based on the control signal and the rule instruction, and transmits the third standard instruction to the cloud server 40 to convert the third standard instruction into a control code, and then transmits the control code to the projection device 20. The control signal can be a text signal, a voice signal, or a touch signal, etc. The user can transmit the instruction to enter the snooze mode to the projection device 20 by voice, text, or touch screen, or the user can transmit the instruction to the terminal device 30, and the terminal device 30 transmits the control signal received by the terminal device 30 to the artificial intelligence model 10 via the cloud server 40. The third standard instruction, for example, includes parameters for instructing the projection device 20 to change the display brightness and / or sound signal, for example, to suppress the speaker 250 from continuing to play the alarm sound effect and / or reduce the brightness of the projection module 220, and to perform the brightness adjustment action and the alarm playing action again after 10 minutes.

[0087] like Figure 7B As shown, in the snooze mode, after receiving the control code corresponding to the third standard instruction, the processor 210 controls the projection module 220 to perform a brightness adjustment action so that the brightness of the light source gradually changes from bright to dark. The reminder items displayed by the projection device 20 on the alarm picture 710 may include the current time 721, the text message 723 corresponding to the snooze mode and the alarm icon 725, and this situation is maintained for 10 minutes. After 10 minutes (i.e. 10:10), the brightness of the light source of the projection module 220 is controlled to gradually change from dark to bright, and the alarm playing action is executed, driving the speaker 250 to play the alarm sound effect.

[0088] like Figure 7C As shown, at 10:10 am on Saturday, December 9, 2023, the cloud server 40 transmits the second standard instruction and the itinerary picture 720 to the projection device 20. For example, the second standard instruction includes instructions for indicating a desktop change action and a reminder item playback action. In the projection device 20, the processor 210 controls the projection module 220 to perform the desktop change action and the reminder item playback action.

[0089] In this embodiment, the projection system 100 can use the artificial intelligence model 10 to create a personalized desktop based on the user's itinerary information, time zone information, etc., and display various reminders on the desktop in the form of an information wall. The projection device 20 or the terminal device 30 can use the Global Positioning System (GPS) to know the user's current location and thus the time zone information. The projection device 20 or the terminal device 30 can transmit the time zone data to the cloud server 40, and the cloud server 40 obtains the weather information corresponding to the time zone data based on the received time zone data. For example, in Figure 7C In the example, the projection device 20 uses the itinerary picture 720 as the desktop, and the reminder items displayed on the itinerary picture 720 include the current time 731, text information 733 related to weather information, and itinerary list 735. The text information 733 related to weather information can be used to display the real-time weather information of the user's current location, so that the user can understand the local weather conditions.

[0090] Figure 8 810 is a schematic diagram of a personalized picture according to the sixth embodiment of the present invention. The sixth embodiment is an application example of the first embodiment. In the sixth embodiment, it is assumed that the user uses the application of the terminal device 30 or the projection device 20 to set the wake-up time on weekdays (Monday to Friday) to 7:00 in the morning in advance, and the terminal device 30 or the projection device 20 obtains the itinerary data for tomorrow (assuming it is December 5, 2023), and transmits the alarm event including the wake-up time and the subsequent itinerary events to the artificial intelligence model 10 through the cloud server 40. The artificial intelligence model 10 generates corresponding standard instructions and personalized pictures 810 based on the alarm event and the itinerary event. The cloud server 40 converts the standard instructions into corresponding control codes.

[0091] At 7:00 a.m. on Thursday, December 5, 2023 (the wake-up time previously set by the user), the cloud server 40 transmits the personalized picture 810 and the control code to the projection device 20, so that after the projection device 20 wakes up, the processor 210 controls the projection module 220 to adjust the brightness, and the brightness of the light source gradually changes from dark to bright. Then, the personalized picture 810 and various reminder items are projected, and the alarm playing action is executed, driving the speaker 250 to play the alarm sound effect.

[0092] like Figure 8As shown, the projection device 20 uses the personalized picture 810 as the desktop. The artificial intelligence model 10 can provide relevant information about the itinerary location based on the itinerary data and the time zone data. The relevant information includes weather information, traffic information, news information, etc., and the relevant information can be obtained by searching the Internet, for example. The rule instructions of this embodiment include standard instructions for the artificial intelligence model 10 to generate relevant information about the itinerary location based on the itinerary data and the time zone data. For example, the reminder items displayed on the personalized picture 810 may include time 801, text information 803 related to weather information, itinerary list 805, reminder list 807 corresponding to the itinerary data, and news information 809 of the day.

[0093] The artificial intelligence model 10 can generate reminders based on the day's itinerary data and weather information. For example, if the itinerary data includes a travel event called "jogging", the artificial intelligence model 10 generates a reminder suggesting to bring sportswear and sports shoes. If the itinerary data includes a travel event called "birthday celebration" within the next week (or a specified time such as a month), the artificial intelligence model 10 generates a reminder suggesting the corresponding travel event. Alternatively, if the weather information for the day is "rainy", the artificial intelligence model 10 generates a reminder suggesting to bring rain gear. If the weather information for the day is "sunny", the artificial intelligence model 10 generates a reminder suggesting to use sunscreen products.

[0094] The standard instructions may further instruct the projection device 20 to project non-scheduled travel reminders. For example, the artificial intelligence model 10 obtains specific behaviors performed by the user at a specific time based on multiple historical travel data of the user. That is, the artificial intelligence model 10 can learn the user's work and rest or routine based on the historical travel data. After receiving the travel data, in response to the travel data not including specific behaviors at a specific time, the artificial intelligence model 10 generates at least one of standard instructions and personalized pictures corresponding to the specific behavior based on the specific behavior and rule instructions. Accordingly, the projection system 100 can generate reminders based on the user's work and rest or routine, and the projection device 20 projects the corresponding personalized picture at a specific time and performs operations corresponding to the reminders (for example, issuing a reminder notification).

[0095] For example, if the artificial intelligence model 10 analyzes a specific behavior that a certain day of each month in the historical travel data is a payday, then in the next month, even if the user does not actively input a travel event related to payday, the artificial intelligence model 10 can automatically generate a reminder on the payday day to make the projection device 20 project today as a payday and a related personalized picture. For another example, if the artificial intelligence model 10 analyzes a specific behavior that a certain month of each year in multiple historical travel data is a regular health check-up, the artificial intelligence model 10 can automatically generate a reminder related to the health check-up in that month.

[0096] The artificial intelligence model 10 can obtain the parameter setting contents corresponding to each of the projection device 20 in multiple usage states based on multiple historical travel data. For example, the parameter setting contents corresponding to the movie mode and the parameter setting contents corresponding to the presentation mode of the projection device 20. After that, after the artificial intelligence model 10 receives the travel data, it will obtain the parameter setting contents corresponding to a usage state that matches the travel data from the historical travel data, and then generate standard instructions based on the parameter setting contents of the historical travel data and the rule instructions. For example, when the travel data received by the natural language model 51 of the artificial intelligence model 10 is when watching a movie using the projection device 20, the natural language model 51 analyzes the state data of the movie mode of the projection device 20 when the travel data of the user 60 is watching a movie based on the historical travel data. The natural language model 51 can generate a standard instruction (projection mode adjustment action) that switches the projection mode of the projection device 20 to the movie mode at the travel time corresponding to the travel data. The parameter setting contents of this movie mode are, for example, the parameter setting contents of the relevant parameters of the projection device 20 in the movie mode when the user 60 was watching a movie before, so that the effect of personalized projection mode can be achieved. The cloud server 40 may associate the historical travel data of the user 60 with the status data of the projection device 20 corresponding to the travel time of the historical travel data, and use them as the content of the first rule instruction. When the user 60 inputs new travel data, the first rule instruction is passed to the natural language model 51. The first rule instruction of this embodiment is, for example, a standard instruction that instructs the natural language model 51 to adjust the status data of the projection mode of the projection device 20 according to the historical travel data.

[0097] The projection device 20 may also transmit the status data of the projection device 20 to the cloud server 40. The status data may be, for example, the brightness, color gamut, volume and other parameters currently set for the projection device 20. The cloud server 40 may obtain at least one of the weather information and traffic information corresponding to the time zone data based on the received time zone data. The cloud server 40 transmits at least one of the time zone data, the status data, the weather information and the traffic information to the artificial intelligence model 10.

[0098] The artificial intelligence model 10 can further generate at least one of standard instructions and personalized pictures based on time zone data, status data, at least one of weather information and traffic information, itinerary data and rule instructions.

[0099] Traffic information is, for example, real-time traffic data, which can be obtained by the terminal device 30, the projection device 20, or the cloud server 40. The artificial intelligence model 10 can use the real-time traffic data to generate the most efficient route for the day's commuting corresponding to the itinerary data (a route with a shorter commuting time and / or fewer transfers). The standard instructions include instructing the projection device 20 to display the most efficient route. Accordingly, the user can be helped to save time. Commuting modes include cars, public transportation vehicles, motorcycles, bicycles, or walking.

[0100] The natural language model 51 of the artificial intelligence model 10 is used to generate standard instructions based on the itinerary data, time zone data, status data and the first rule instruction. The first rule instruction includes "Please analyze the itinerary data and generate standard instructions based on the time zone data and status data. The standard instructions may include providing the itinerary of the day, the upcoming important festivals, the weather information of the itinerary location, traffic information, local news information, commuting time and commuting route, etc., and generating the status data of the appropriate projection device corresponding to the itinerary data and time zone data.

[0101] The artificial intelligence model 10 can give users different itinerary suggestion reminders according to different situations (weekdays or holidays). If the itinerary event included in the itinerary data is "travel", the reminder corresponding to the standard instruction generated by the artificial intelligence model 10 can be, for example, a travel route suggestion, which includes recommended attractions and stopovers along the way to enhance the user's travel experience. If the itinerary event included in the itinerary data is "work", the reminder corresponding to the standard instruction generated by the artificial intelligence model 10 can be, for example, the most effective commuting route, for example, the route with the shortest distance, the route with the fastest commuting time, the route with the least number of transfers, etc.

[0102] Fig. 9 is a schematic diagram of the control process of the projection system according to the seventh embodiment of the present invention. Fig. 9 , in step S905, the user 60 inputs the itinerary information. In one embodiment, the user 60 opens an application of the terminal device 30 (for example, an application of an AI assistant), and authorizes this application to obtain the permissions of the calendar application and / or the alarm application of the terminal device 30, as well as the permissions to obtain the location of the terminal device 30. In one embodiment, the user 60 opens the voice input interface of the calendar application, so that the processor of the terminal device 30 activates its sound receiving device (such as a microphone). The user 60 inputs the itinerary information by voice. The itinerary information includes information such as participants, alarm events, itinerary events, itinerary time, location, and related objects related to the itinerary. For example, the alarm event is "what time to get up", etc. Alternatively, the itinerary can be entered in text through the text input interface of the calendar application.

[0103] Alternatively, the user 60 can directly input instructions for modifying the schedule through the voice input interface or text input interface of the AI ​​assistant application. For example, the original alarm event is to get up at 8:00 in the morning, and the projection device 20 plays an alarm picture (such as Fig. 7A When the alarm picture 710 and the alarm sound are displayed, the user 60 can use voice input or click on the "snooze mode" of the AI ​​assistant application to cause the terminal device 30 to generate a control signal to modify the original wake-up time and adjust the alarm playing action to 8:10. Fig. 7A as well as Figure 7B Description.

[0104] In step S907, the projection device 20 transmits the status data to the cloud server 40. In step S910, the terminal device 30 transmits the itinerary data and the time zone data to the cloud server 40. The terminal device 30 transmits the itinerary data of the calendar application, the status data of the projection device 20, and the time zone data of the terminal device 30 to the cloud server 40 through the AI ​​assistant application. In one embodiment, the terminal device 30 can be configured to transmit the itinerary data, the time zone data, and the status data to the cloud server 40 upon receiving the itinerary data input by the user 60. In another embodiment, the terminal device 30 can also be configured to transmit the itinerary data, the time zone data, and the status data to the cloud server 40 at fixed intervals.

[0105] In step S915, the cloud server 40 transmits the travel data, time zone data, status data and rule instructions to the artificial intelligence model 10. The cloud server 40 can also receive and store the time zone data by the user 60 agreeing to authorize the location of the projection device 20, and the projection device 20 transmits the time zone data to the cloud server 40.

[0106] In step S920 , the artificial intelligence model 10 generates standard instructions and personalized images based on the itinerary data, time zone data, status data and rule instructions. In step S925 , the artificial intelligence model 10 transmits the standard instructions and personalized images to the cloud server 40 .

[0107] In this embodiment, the natural language model 51 generates a second rule instruction while generating a standard instruction based on the itinerary information, time zone information, status information, and the first rule instruction. For example, the first rule instruction further includes: "Please generate a drawing instruction that can be read by the picture generation model based on the keywords of the itinerary information, the time zone information, and the corresponding reminder items." The drawing instruction is the second rule instruction. The picture generation model 52 generates a personalized picture based on the second rule instruction.

[0108] In one embodiment, the natural language model 51 can analyze and extract keywords from the itinerary data to learn the daily routine or itinerary of the user 60, and then provide reminders. The first rule instruction includes instructing the natural language model 51 to generate a standard instruction corresponding to the reminder according to the itinerary data and the time zone data. For example, the standard instruction generated by the natural language model 51 can cause the projection device 20 to project the entire day's itinerary (such as Figure 7C Itinerary list 735, Figure 8 Itinerary list 805) allows the user 60 to clearly know the upcoming travel events.

[0109] In one embodiment, the itinerary information may include important holidays in the next few days (a week, two weeks, a month, etc.), such as Christmas, Chinese New Year, Father's Day, Mother's Day, etc., or birthdays of relatives and friends, etc. The standard instructions generated by the natural language model 51 can cause the projection device 20 to project reminders on the day of the important holiday and a few days before the important holiday to remind the user 60.

[0110] For example, the natural language model 51 determines that Christmas is five days from now based on the travel data. The standard instructions generated by the natural language model 51 may include causing the projection device 20 to project multiple items that are most suitable as Christmas gifts and / or multiple restaurants in the area where the user 60 is located that are suitable for celebrating Christmas, and other reminders.

[0111] For example, the natural language model 51 determines that a family member's birthday is three days from now based on the itinerary data, and the standard instruction generated by the natural language model 51 may include causing the projection device 20 to project a reminder to the user 60 to prepare a gift and / or book a restaurant. On the family member's birthday, the standard instruction generated by the natural language model 51 includes causing the projection device 20 to project a reminder to the user 60 to bring a gift when going out. If the itinerary data also includes the dining time and location on the family member's birthday, the standard instruction also includes causing the projection device 20 to project a reminder of the dining information on that day.

[0112] In one embodiment, the natural language model 51 of the artificial intelligence model 10 determines that the user 60 stays in the same area today based on the travel data, and the standard instructions generated by the natural language model 51 can cause the projection device 20 to project the weather information, traffic information and news information 809 of the area, and generate a reminder list 807 based on the weather information, traffic information and news information 809. For example, if the news information 809 contains news that is harmful to the local people (such as terrorist attacks or wars, etc.), the natural language model 51 can generate a reminder that recommends not going out today or being careful when going out.

[0113] In one embodiment, the natural language model 51 of the artificial intelligence model 10 determines the destination that the user 60 will move to today based on the itinerary data, and then obtains the weather information, traffic information and local news of the destination, and generates reminders accordingly. For example, the standard instruction instructs the projection device 20 to project the weather of the travel destination to assist the user in making a suitable travel plan. Alternatively, the standard instruction may include instructing the projection device 20 to project reminders of weather changes between the original location and the destination, the best commuting route, commuting method and commuting time.

[0114] In one embodiment, the natural language model 51 can determine that the user 60 is about to have a travel plan based on the itinerary data. The standard instructions generated by the natural language model 51 can cause the projection device 20 to project reminders. The reminders may include recommended travel itineraries, tourist attractions, travel routes, and reminders such as recommended clothing and items to be brought can be generated based on the weather information of the travel location.

[0115] In one embodiment, the natural language model 51 can change the relevant parameters of the state data of the projection device 20 according to the state data and the travel data of the projection device 20. For example, the standard instruction includes making the brightness of the light source of the projection module 220 of the projection device 20 gradually brighten from dark to bright, and the volume of the alarm sound effect played by the projection device 20 increases from low to high, etc. The first rule instruction of this embodiment includes instructing the natural language model 51 to generate a standard instruction for adjusting the state data of the projection device 20 according to the state data and the travel data.

[0116] In one embodiment, the natural language model 51 can change the relevant parameters of the state data of the projection device 20 according to the state data of the projection device 20 and the historical travel data. For example, the natural language model 51 analyzes the historical travel data and finds that the user 60 often adjusts to the "snooze mode" many times after the alarm sound effect sounds, so that he cannot catch up with the next travel event that follows the alarm event on the same day. Accordingly, the natural language model 51 can automatically generate a standard instruction for the projection device 20 to increase the brightness of the light source and the volume of the alarm sound effect when there are other travel events after the alarm event, so as to assist the user 60 not to delay the next travel event. The first rule instruction of this embodiment includes a standard instruction that instructs the natural language model 51 to generate the state data of adjusting the alarm mode of the projection device 20 according to the historical travel data. In other embodiments, the projection system 100 can ring some time in advance after the user's authorization and consent to ensure that the user can wake up in time.

[0117] In one embodiment, the natural language model 51 may change the relevant parameters of the state data of the projection device 20 according to the state data and the time zone data of the projection device 20. For example, if the natural language model 51 analyzes that the local time zone is currently at night, the standard instruction generated by the natural language model 51 may include reducing the display brightness of the projection module 220 of the projection device 20. The first rule instruction of this embodiment includes a standard instruction that instructs the natural language model 51 to adjust the state data of the projection mode of the projection device 20 according to the state data and the time zone data.

[0118] The picture generation model 52 can generate personalized pictures based on the keywords and time zone information of the itinerary information. The second rule instruction of this embodiment includes an instruction to instruct the picture generation model 52 to generate personalized pictures based on the itinerary information and the time zone information. The personalized pictures can be consistent with the itinerary of the day or the upcoming important festivals. For example, the alarm event included in the itinerary information is set to get up at 8:00 in the morning, and the personalized picture generated by the picture generation model 52 is a landscape picture that conforms to the weather in the local time zone. For example, the itinerary event included in the itinerary information is set to a meeting at 2:00 in the afternoon, and the personalized picture generated by the picture generation model 52 is a picture that conforms to the meeting situation. For example, the itinerary event included in the itinerary information is set to travel to a certain place, and the personalized picture generated by the picture generation model 52 is a picture with local attractions of the trip.

[0119] In one embodiment, the natural language model 51 can be connected to the image generation model 52 in communication, and the image generation model 52 can further generate personalized images based on the reminder items generated by the natural language model 51. In this embodiment, the second rule instruction includes an instruction to instruct the image generation model 52 to generate personalized images according to the itinerary information, time zone information, and reminder items included in the standard instruction. For example, if the reminder item generated by the natural language model 51 is that today is payday, the image generation model 52 can generate a personalized picture about money on payday to serve as the desktop of the projection device 20.

[0120] return Fig. 9 In step S930, the cloud server 40 converts the received standard command into a control code. In step S935, the cloud server 40 transmits the control code and the personalized image to the projection device 20. In step S940, the projection device 20 executes the control code to implement the corresponding operation and projects the personalized image.

[0121] Fig.10 is a schematic diagram of the control process of the projection system according to the eighth embodiment of the present invention. This embodiment is an application example of the first embodiment. Fig.10In step S1005, the user 60 inputs the travel data into the projection device 20. In step S1010, the projection device 20 transmits the travel data, the time zone data, and the status data to the cloud server 40. In step S1015, the cloud server 40 transmits the travel data, the time zone data, the status data, and the rule instructions (the first rule instruction and the second rule instruction) to the artificial intelligence model 10.

[0122] In step S1020, the artificial intelligence model 10 generates standard instructions and personalized pictures based on the itinerary data, time zone data, status data and rule instructions. In step S1025, the artificial intelligence model 10 transmits the standard instructions and personalized pictures to the cloud server 40. In step S1030, the cloud server 40 converts the standard instructions into control codes. In step S1035, the cloud server 40 transmits the control codes and personalized pictures to the projection device 20. In step S1040, the projection device 20 executes the control codes to implement the corresponding operations and projects the personalized pictures.

[0123] In other embodiments, when the projection device 20 is turned off, the projection device 20 can be turned on by the AI ​​assistant of the terminal device 30 in conjunction with the cloud server 40. For example, Figure 6 In steps S601 to S609 shown, the travel data provided by the terminal device 30 is transmitted to the artificial intelligence model 10 via the cloud server 40, and after the artificial intelligence model 10 generates standard instructions and / or personalized images, the control code and / or personalized image converted by the standard instructions is transmitted to the projection device 20 via the cloud server 40 to wake up the projection device 20 to perform corresponding operations. Subsequently, the projection device 20 can provide the travel data to control the operation of the projection device 20, such as Figure 5 Steps S501 to S510 are shown.

[0124] In summary, the present disclosure can provide personalized reminder services and actively make dynamic adjustments based on user feedback and itinerary data to provide a more personalized and effective experience to meet the needs of different users. The projection system can use an artificial intelligence model to realize the concept of using the projection device as an AI smart alarm.

[0125] The above embodiments have the following advantages.

[0126] 1. Optimize the function of the smart alarm clock. The projection system can analyze the user's itinerary information to understand the user's work and activity time. Based on this information, the projection system can automatically generate standard instructions at the appropriate time to adjust the parameter settings of the projection device (power / brightness / sound) to ensure that the user will not miss important events or have a good rest.

[0127] 2. Sound optimization: The projection system can analyze the user's preference for different sounds and further optimize the sound effects of the projection device.

[0128] 3. Controllable lighting. The projection system can simulate the sunrise effect by adjusting the light source of the projection device, gradually increasing the intensity of the light, and waking up the user in a more natural way. The projection system can record the user's response to the lighting (for example, whether the user has issued instructions to change the icon or brightness) and adjust the most suitable brightness mode.

[0129] 4. Optimize personalized pictures. The projection system can infer the user's preferences and interests based on the user's itinerary information and automatically generate relevant personalized pictures. For example, the projection system analyzes that the user often goes to the zoo in the itinerary information, and the projection system can infer that the user likes animals. Therefore, the projection system can generate personalized pictures based on the positive prompt words "the user likes animals".

[0130] The above description is only a preferred embodiment of the present invention, and it cannot be used to limit the scope of the implementation of the present invention. That is, all simple equivalent changes and modifications made in accordance with the claims of the present invention and the specification of the present invention are still within the scope of the patent of the present invention. In addition, any embodiment or claim of the present invention is not required to achieve all the purposes, advantages or features disclosed in the present invention. In addition, the abstract of the specification and the name of the invention are only used to assist in the retrieval of patent documents, and are not used to limit the scope of rights of the present invention. In addition, the terms "first", "second", etc. mentioned in this specification or claims are only used to name the name of the element or distinguish different embodiments or scopes, and are not used to limit the upper or lower limit of the number of elements.

Claims

1. A method for controlling a projection device, characterized in that: The method comprises the following steps: The artificial intelligence model receives the travel data from the projection device or the terminal device; Based on the itinerary data and the rule instructions, generating at least one of a standard instruction and a personalized picture in the artificial intelligence model; After the projection device receives the standard instruction, based on the standard instruction, the projection device performs an operation corresponding to the travel data; as well as After the projection device receives the personalized picture, the personalized picture is projected by the projection device.

2. The method for controlling a projection device according to claim 1, characterized in that: The step of receiving the travel data from the projection device or the terminal device in the artificial intelligence model includes: Transmitting the itinerary data to a cloud server via the projection device or the terminal device, wherein the cloud server stores the rule instructions; and The trip data and the rule instructions are transmitted to the artificial intelligence model via the cloud server.

3. The method for controlling a projection device according to claim 1, characterized in that: The artificial intelligence model includes a natural language model and a picture generation model, the rule instruction includes a first rule instruction and a second rule instruction, wherein based on the itinerary data and the rule instruction, the step of generating at least one of the standard instruction and the personalized picture in the artificial intelligence model further includes: Based on the itinerary data and the first rule instruction, generating the standard instruction in the natural language model; and The personalized image is generated in the image generation model based on the travel information and the second rule instruction.

4. The method for controlling a projection device according to claim 3, characterized in that: Based on the itinerary data and the rule instruction, the step of generating at least one of the standard instruction and the personalized picture in the artificial intelligence model further includes: Based on the itinerary data and the first rule instruction, generating the standard instruction corresponding to the reminder item in the natural language model; and The personalized image is generated in the image generation model based on the reminder, the travel information and the second rule instruction.

5. The method for controlling a projection device according to claim 1, characterized in that: The travel data includes the travel time, wherein the method for controlling the projection device further includes the following steps: Receiving the standard instruction and the personalized image via a cloud server; and The cloud server transmits the standard instruction and the personalized picture to the projection device at the travel time corresponding to the travel data.

6. The method for controlling a projection device according to claim 5, characterized in that: The travel data includes at least one of an alarm event and a travel event, wherein based on the travel data and the rule instruction, the step of generating at least one of the standard instruction and the personalized picture in the artificial intelligence model further includes: Based on the alarm event and the rule instruction, generating a first standard instruction and a first picture corresponding to the alarm event in the artificial intelligence model; and Based on the travel event and the rule instruction, generating a second standard instruction and a second picture corresponding to the travel event in the artificial intelligence model; The step of transmitting the standard instruction and the personalized image to the projection device at the travel time corresponding to the travel data by the cloud server further includes: The cloud server transmits the first standard instruction and the first picture to the projection device at a first designated time corresponding to the alarm event, and after the projection device receives the first standard instruction and the first picture, the projection device projects the first picture and performs a first operation based on the first standard instruction, wherein the first operation includes driving a speaker to emit a sound signal and driving a projection module to adjust display brightness; and The cloud server transmits the second standard instruction and the second image to the projection device at a second specified time corresponding to the travel event. After the projection device receives the second standard instruction and the second image, it projects the second image and performs a second operation based on the second standard instruction, wherein the second operation includes driving the projection module to adjust the display brightness and projecting a reminder corresponding to the travel event.

7. The method for controlling a projection device according to claim 6, characterized in that: After the projection device performs the operation based on the standard instruction, the method further includes the following steps: After the projection device or the terminal device receives the control signal, the control signal is transmitted to the artificial intelligence model via the cloud server; Based on the control signal and the rule instruction, a third standard instruction is generated in the artificial intelligence model, and the third standard instruction is transmitted to the cloud server; as well as The cloud server transmits the third standard command to the projection device, and after the projection device receives the third standard command, the third operation is performed based on the third standard command.

8. The method for controlling a projection device according to claim 1, characterized in that: The method further comprises the following steps: Based on a plurality of historical travel data, obtaining, in the artificial intelligence model, parameter setting contents corresponding to each of the plurality of usage states of the projection device; The step of generating the standard instruction in the artificial intelligence model based on the itinerary data and the rule instruction includes: After the artificial intelligence model obtains the parameter setting content corresponding to one of the multiple usage states that match the travel data, the standard instruction is generated in the artificial intelligence model based on the parameter setting content and the rule instruction.

9. The method for controlling a projection device according to claim 1, characterized in that: The operation includes at least one of a wake-up action, an alarm playing action, a brightness adjustment action, a projection mode adjustment action, a reminder playing action, and a desktop changing action.

10. The method for controlling a projection device according to claim 1, characterized in that: The method further comprises the following steps: Transmitting the time zone data and the status data of the projection device to the cloud server via the projection device or the terminal device; Based on the received time zone data, obtaining at least one of weather information and traffic information corresponding to the time zone data in the cloud server; as well as At least one of the time zone data, the status data, the weather information and the traffic information is transmitted to the artificial intelligence model via the cloud server.

11. The method for controlling a projection device according to claim 10, characterized in that: Based on the travel data and the rule instruction, the step of generating at least one of the standard instruction and the personalized picture in the artificial intelligence model also includes the following steps: Based on the time zone data, the status data, at least one of the weather information and the traffic information, the trip data and the rule instructions, at least one of the standard instructions and the personalized pictures is generated in the artificial intelligence model.

12. The method for controlling a projection device according to claim 1, characterized in that: The method further comprises the following steps: After the cloud server receives the standard command from the artificial intelligence model, the cloud server converts the standard command into a control code and transmits the control code to the projection device; as well as After the projection device receives the control code, the projection device executes the control code to further perform the operation corresponding to the travel data.

13. The method for controlling a projection device according to claim 1, characterized in that: The method further comprises the following steps: Based on a plurality of historical itinerary data of the user, obtaining in the artificial intelligence model a specific behavior performed by the user at a specific time; and After the artificial intelligence model receives the travel data, in response to the travel data not including the specific behavior at the specific time, the artificial intelligence model generates at least one of the standard instructions and the personalized picture corresponding to the specific behavior based on the specific behavior and the rule instructions.

14. A projection system, characterized in that: The projection system includes a projection device, a terminal device and an artificial intelligence model, wherein: The artificial intelligence model is respectively connected to the projection device and the terminal device for communication, and the artificial intelligence model is used to receive the travel data from the projection device or the terminal device, and generate at least one of a standard instruction and a personalized picture based on the travel data and the rule instruction; Wherein, in response to the projection device receiving the standard instruction, the projection device is used to perform an operation corresponding to the travel data based on the standard instruction; In response to the projection device receiving the personalized picture, the projection device is used to project the personalized picture.

15. The projection system according to claim 14, characterized in that: The projection system also includes a cloud server, wherein the cloud server is communicatively connected to the artificial intelligence model, the projection device and the terminal device, and the cloud server stores the rule instructions and is used to transmit the rule instructions and the travel data from the projection device or the terminal device to the artificial intelligence model.

16. The projection system according to claim 14, characterized in that: The rule instruction includes a first rule instruction and a second rule instruction, wherein the artificial intelligence model includes a natural language model and a picture generation model, wherein: The natural language model is used to generate the standard instruction based on the itinerary data and the first rule instruction; The image generation model is used to generate the personalized image based on the travel information and the second rule instruction.

17. The projection system according to claim 16, characterized in that: The natural language model is used to generate the standard instruction corresponding to the reminder item based on the itinerary data and the first rule instruction; as well as The image generation model is used to generate the personalized image based on the reminder, the itinerary information and the second rule instruction.

18. The projection system according to claim 14, characterized in that: The travel data includes travel time, and the projection system also includes a cloud server, wherein the cloud server is communicatively connected to the artificial intelligence model and the projection device, the cloud server stores the rule instructions, and is used to receive the standard instructions and the personalized pictures from the artificial intelligence model, and transmit the standard instructions and the personalized pictures to the projection device at the travel time corresponding to the travel data.

19. The projection system according to claim 18, characterized in that: The travel data includes at least one of an alarm event and a travel event, and the projection device includes a speaker and a projection module, wherein: The artificial intelligence model is used to generate a first standard instruction and a first picture corresponding to the alarm event based on the alarm event and the rule instruction, and to generate a second standard instruction and a second picture corresponding to the travel event based on the travel event and the rule instruction; The cloud server is configured to: transmitting the first standard instruction and the first picture to the projection device at a first designated time corresponding to the alarm event, so that the projection device projects the first picture and performs a first operation based on the first standard instruction, wherein the first operation includes driving the speaker to emit a sound signal and driving the projection module to adjust display brightness; and The second standard instruction and the second image are transmitted to the projection device at a second specified time corresponding to the travel event, so that the projection device projects the second image and performs a second operation based on the second standard instruction, wherein the second operation includes driving the projection module to adjust the display brightness and projecting a reminder corresponding to the travel event.

20. The projection system according to claim 19, characterized in that After the projection device or the terminal device receives the control signal, the control signal is transmitted to the artificial intelligence model via the cloud server; The artificial intelligence model is used to generate a third standard instruction based on the control signal and the rule instruction, and transmit the third standard instruction to the cloud server; as well as The cloud server is used to transmit the state change data to the artificial intelligence model, and transmit the third standard instruction to the projection device, so that the projection device performs a third operation based on the third standard instruction.

21. The projection system according to claim 14, wherein: The artificial intelligence model is configured to: Based on a plurality of historical travel data, obtaining parameter setting contents corresponding to each of a plurality of usage states of the projection device; and After obtaining the parameter setting content corresponding to one of the plurality of usage states that matches the travel data, the standard instruction is generated based on the parameter setting content and the rule instruction.

22. The projection system according to claim 14, characterized in that The operation includes: at least one of a wake-up action, an alarm playing action, a brightness adjustment action, a projection mode adjustment action, a reminder playing action, and a desktop changing action.

23. The projection system according to claim 14, characterized in that The projection system further includes a cloud server, the cloud server is in communication with the artificial intelligence model, the projection device and the terminal device, the cloud server stores the rule instructions and is used to: Receiving time zone data and status data of the projection device from the projection device or the terminal device; Based on the received time zone data, obtaining at least one of weather information and traffic information corresponding to the time zone data; and At least one of the time zone data, the status data, the weather information, and the traffic information is transmitted to the artificial intelligence model.

24. The projection system according to claim 23, characterized in that The artificial intelligence model is used to generate at least one of the standard instructions and the personalized pictures based on the time zone data, the status data, at least one of the weather information and the traffic information, the trip data and the rule instructions.

25. The projection system according to claim 14, characterized in that The projection system also includes a cloud server, which is communicatively connected to the artificial intelligence model and the projection device. The cloud server stores the rule instructions and is used to convert the standard instructions from the artificial intelligence model into control codes and transmit the control codes to the projection device so that the projection device executes the control codes and further performs the operations corresponding to the travel data.

26. The projection system according to claim 14, wherein: The artificial intelligence model is configured to: Based on multiple historical itinerary data of the user, obtain specific behaviors performed by the user at a specific time; and After receiving the travel data, in response to the travel data not including the specific behavior at the specific time, at least one of the standard instruction and the personalized picture corresponding to the specific behavior is generated based on the specific behavior and the rule instruction.

27. A projection device, characterized in that: The projection device includes a projection module, a communication interface and at least one processor, wherein: The communication interface is used to obtain travel data and receive at least one of a standard instruction and a personalized picture corresponding to the travel data, wherein the travel data includes travel time; The at least one processor is electrically connected to the communication interface and the projection module and is configured to execute: Based on the standard instruction, executing an operation corresponding to the travel data at the travel time; and Based on the personalized picture, the projection module is driven to project the personalized picture during the travel time.

Images