Projector working mode adjusting method and device based on artificial intelligence

Abstract

The invention provides a projector working mode adjusting method and device based on artificial intelligence. The projector working mode adjusting method comprises the steps that the corresponding relation between the equipment temperature, the environment temperature and the working time period and the projection recommended brightness, the recommended volume and the recommended fan rotating speed of a heat dissipation structure is established through an artificial intelligence model; obtaining the current equipment temperature, the current environment temperature and the current working time period of the projector, and determining a target working mode corresponding to the current equipment temperature, the current environment temperature and the current working time period through the corresponding relation; wherein the working mode comprises the recommended volume, the projection recommended brightness and the recommended fan rotating speed of the heat dissipation structure, and the recommended fan rotating speed is the rotating speed which does not generate noise influence on a user under the current recommended volume; and adjusting the projector according to the target working mode. By establishing the corresponding relation between the equipment temperature, the environment temperature and the working time period and the recommended fan rotating speed of the heat dissipation structure, the obtained recommended fan rotating speed does not generate noise influence on a user.

Description

Technical Field

[0001] The present application relates to the field of projection, and in particular to a method and device for adjusting a projector working mode based on artificial intelligence. Background Art

[0002] A projector, also known as a projector, is a device that uses a light source and an optical system to project images onto a screen or other flat surface. It can be connected to computers, VCDs, DVDs, BDs, game consoles, DVs, etc. through different interfaces to play corresponding video signals.

[0003] Projectors are usually used for projection display in homes, conference rooms, classrooms, theaters, studios and other places. As an important part of modern home entertainment, home projectors allow users to choose a specific placement according to personal preferences and home layout. They can be placed close to the user's viewing position for easy operation and adjustment, or they can be placed relatively far away from the user to obtain a better projection angle.

[0004] For a home projector placed close to the user, when the projector's cooling fan is working at full power, the high-speed cooling fan will produce relatively obvious mechanical noise. When the user is immersed in a quiet viewing environment, these noises will not only distract the user's attention, but also seriously reduce the user's viewing experience. Summary of the invention

[0005] In view of the above problems, the present application is proposed to provide a method and device for adjusting the working mode of a projector based on artificial intelligence to overcome the above problems or at least partially solve the above problems, including: A method for adjusting a projector working mode based on artificial intelligence is applied to a home projector, wherein the projector is provided with a heat dissipation structure, and the projector is placed near a user, and the projector is provided with a standard working temperature; The method comprises: The artificial intelligence model is used to establish the correspondence between the device temperature, ambient temperature, and working time period and the recommended brightness, volume, and fan speed of the projector's heat dissipation structure; Obtaining the current device temperature, current ambient temperature and current working time period of the projector, and determining a target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the corresponding relationship; wherein the working mode includes a recommended volume, a recommended projection brightness and a recommended fan speed of a heat dissipation structure, and the recommended fan speed is a speed that will not cause noise impact on the user at the current recommended volume; The projector is adjusted according to the target operating mode.

[0006] Furthermore, the artificial intelligence model includes a first artificial intelligence sub-model and a second artificial intelligence sub-model; the corresponding relationship includes a first corresponding sub-relationship and a second corresponding sub-relationship; the step of establishing the corresponding relationship between the device temperature, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes: Establishing a first corresponding sub-relationship between the device temperature, the ambient temperature, the working time period and the recommended volume by using the first artificial intelligence sub-model; A second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model.

[0007] Further, the second artificial intelligence sub-model includes a first artificial intelligence grandchild model and a second artificial intelligence grandchild model; the second corresponding sub-relationship includes a first corresponding grandchild relationship and a second corresponding grandchild relationship, and the step of establishing a second corresponding sub-relationship between the recommended volume, the recommended fan speed, and the recommended projection brightness through the second artificial intelligence sub-model includes: Establishing a first corresponding relationship between the recommended volume and the recommended fan speed through the first artificial intelligence model; A second corresponding relationship between the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence model.

[0008] Furthermore, the step of establishing a correspondence between the device temperature, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes: Determining a temperature difference between the standard operating temperature and the current device temperature; The artificial intelligence model is used to establish a correspondence between the temperature difference, the ambient temperature, the working time period, and the recommended volume, the recommended projection brightness, and the recommended fan speed of the heat dissipation structure.

[0009] Furthermore, the artificial intelligence model includes a first artificial intelligence sub-model and a second artificial intelligence sub-model; the corresponding relationship includes a first corresponding sub-relationship and a second corresponding sub-relationship; the step of establishing a corresponding relationship between the temperature difference, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes: Establishing a first corresponding sub-relationship between the temperature difference, the ambient temperature, the working time period and the recommended volume through the first artificial intelligence sub-model; A second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model.

[0010] Further, the second artificial intelligence sub-model includes a first artificial intelligence grandchild model and a second artificial intelligence grandchild model; the second corresponding sub-relationship includes a first corresponding grandchild relationship and a second corresponding grandchild relationship, and the step of establishing a second corresponding sub-relationship between the recommended volume, the recommended fan speed, and the recommended projection brightness through the second artificial intelligence sub-model includes: Establishing a first corresponding relationship between the recommended volume and the recommended fan speed through the first artificial intelligence model; A second corresponding relationship between the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence model.

[0011] Furthermore, it also includes: Big data is used to collect fan noise data that is not noticeable to different users at different volume levels.

[0012] A projector working mode adjustment device based on artificial intelligence is applied to a home projector, the projector is provided with a heat dissipation structure, and the projector is placed near a user, and the projector is provided with a standard working temperature; comprising: A corresponding relationship establishment module is used to establish a corresponding relationship between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the heat dissipation structure of the projector through an artificial intelligence model; A data processing module, used to obtain the current device temperature, current ambient temperature and current working time period of the projector, and determine the target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the corresponding relationship; wherein the working mode includes a recommended volume, a recommended projection brightness and a recommended fan speed of a heat dissipation structure, and the recommended fan speed is a speed that will not cause noise impact on the user at the current recommended volume; A device adjustment module is used to adjust the projector according to the target working mode.

[0013] A computer device comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the steps of the projector working mode adjustment method based on artificial intelligence as described above.

[0014] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the projector working mode adjustment method based on artificial intelligence are implemented as described above.

[0015] This application has the following advantages: In the embodiments of the present application, relative to the technical problem in the prior art that "when the cooling fan of the projector is working at full power, the high-speed cooling fan will generate relatively obvious mechanical noise. When the user is immersed in a quiet viewing environment, these noises will not only distract the user's attention, but also seriously reduce the user's viewing experience", the present application provides a solution for determining the target working mode through the device temperature, ambient temperature and working time period through an artificial intelligence model, and adjusting the projector according to the target working mode, specifically: establishing a correspondence between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the heat dissipation structure of the projection through an artificial intelligence model; obtaining the current device temperature, current ambient temperature and current working time period of the projector, and determining the target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the correspondence; wherein the working mode includes the recommended volume, the recommended brightness of the projection and the recommended fan speed of the heat dissipation structure, and the recommended fan speed is the speed that will not cause noise to the user at the current recommended volume; adjusting the projector according to the target working mode. By establishing a corresponding relationship between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the projector, the obtained recommended fan speed will not cause noise impact on the user; the heat dissipation of the projector is jointly adjusted by the recommended volume, recommended brightness of the projector and the recommended fan speed of the heat dissipation structure, so that the projector can maintain a good working state and bring good projection effects to the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the description of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is a flowchart of a method for adjusting a projector working mode based on artificial intelligence provided in one embodiment of the present application; Figure 2 It is a structural block diagram of a projector working mode adjustment device based on artificial intelligence provided in one embodiment of the present application; Figure 3 It is a structural schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the objects, features and advantages of the present application more obvious and understandable, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0019] The inventors have found through analyzing the prior art that for a home projector placed close to the user, when the cooling fan of the projector works at full power, the high-speed cooling fan will generate obvious mechanical noise. In fact, the projector does not need to work at 100% power, and the temperature of the projector can be reduced to a reasonable temperature threshold within a certain period of time to enable it to work normally. At this time, the noise generated by the cooling fan will be lower than the noise generated by full-power operation, so that the projector can ensure normal operation and will not affect the user's viewing experience. In addition, the user will not touch the projector during the viewing process, so there is no need to lower the temperature of the optical machine too much, which will waste electricity and generate a lot of noise. Therefore, by analyzing the projection data of the projector, the recommended speed of the cooling fan can be calculated, so that the projector can dissipate heat normally and the noise generated will not affect the user's viewing experience.

[0020] Reference Figure 1 , showing a method for adjusting a projector working mode based on artificial intelligence provided by an embodiment of the present application; The method comprises: S110, establishing a correspondence between the device temperature, the ambient temperature, and the working time period and the recommended brightness, the recommended volume, and the recommended fan speed of the heat dissipation structure of the projector through an artificial intelligence model; S120, obtaining the current device temperature, current ambient temperature and current working time period of the projector, and determining a target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the corresponding relationship; wherein the working mode includes a recommended volume, a recommended projection brightness and a recommended fan speed of a heat dissipation structure, and the recommended fan speed is a speed that will not cause noise impact on the user at the current recommended volume; S130: Adjust the projector according to the target working mode.

[0021] In the embodiments of the present application, relative to the technical problem in the prior art that "when the cooling fan of the projector is working at full power, the high-speed cooling fan will generate relatively obvious mechanical noise. When the user is immersed in a quiet viewing environment, these noises will not only distract the user's attention, but also seriously reduce the user's viewing experience", the present application provides a solution for determining the target working mode through the device temperature, ambient temperature and working time period through an artificial intelligence model, and adjusting the projector according to the target working mode, specifically: establishing a correspondence between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the heat dissipation structure of the projection through an artificial intelligence model; obtaining the current device temperature, current ambient temperature and current working time period of the projector, and determining the target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the correspondence; wherein the working mode includes the recommended volume, the recommended brightness of the projection and the recommended fan speed of the heat dissipation structure, and the recommended fan speed is the speed that will not cause noise to the user at the current recommended volume; adjusting the projector according to the target working mode. By establishing a corresponding relationship between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the projector, the obtained recommended fan speed will not cause noise impact on the user; the heat dissipation of the projector is jointly adjusted by the recommended volume, recommended brightness of the projector and the recommended fan speed of the heat dissipation structure, so that the projector can maintain a good working state and bring good projection effects to the user.

[0022] Next, a method for adjusting the working mode of a projector based on artificial intelligence in this exemplary embodiment will be further described.

[0023] As described in step S110, a correspondence between the device temperature, the ambient temperature and the working time period and the recommended brightness, the recommended volume and the recommended fan speed of the heat dissipation structure of the projection is established through the artificial intelligence model.

[0024] It should be noted that the artificial intelligence model includes a first artificial intelligence sub-model and a second artificial intelligence sub-model; and the corresponding relationship includes a first corresponding sub-relationship and a second corresponding sub-relationship.

[0025] In one embodiment of the present invention, the specific process of "establishing a correspondence between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the heat dissipation structure of the projection through an artificial intelligence model" described in step S110 can be further explained in combination with the following description.

[0026] As described in the following steps, a first corresponding sub-relationship between the device temperature, the ambient temperature, the working time period and the recommended volume is established through the first artificial intelligence sub-model; It should be noted that the device temperature is the working temperature of the projector.

[0027] The ambient temperature is the temperature of the external environment of the projector.

[0028] The working time period includes the time period that requires noise control according to the law (such as 10 p.m. to 6 a.m. the next day) and the time period that does not require noise control. Users can also customize the time period that requires noise control according to their personal living habits. For example, if user A's evening rest time is from 11 p.m. to 7 a.m. the next day, and the lunch break time is from 12 noon to 2 p.m., then the time period for user A's projector to be noise-controlled can be set to 11 p.m. to 7 a.m. the next day, and 12 noon to 2 p.m.

[0029] The recommended volume is a volume that will not affect neighbors at the current recommended volume.

[0030] The recommended fan speed is a speed that will not cause noise impact on the user at the current recommended volume.

[0031] The recommended projection brightness is the maximum projection brightness of the projector at the currently recommended fan speed.

[0032] It should be noted that the establishment of the first corresponding sub-relationship is based on the device temperature, the ambient temperature, the working time period and the recommended volume, wherein the recommended volume is calculated through big data, and extensive information on the acceptance of different volumes by different users when watching movies in different time periods is collected, so as to obtain a recommended volume value for the projector in the working time period that is in line with the habits of most people and can ensure viewing while avoiding interference to others to the greatest extent.

[0033] In addition, since users may have different hearing sensitivities and preferences, the recommended volume can also be configured to be customized according to the different noise sensitivity of different users. Specifically, the recommended volume value that meets the habits of most people during the target working time period is set to X 标 , the formula for custom settings is as follows: X 设置 =X 标 ×C Among them, X 设置 To customize the volume, C adjusts the multiple.

[0034] Therefore, the first artificial intelligence sub-model algorithm can be used to analyze the patterns between device temperature, ambient temperature, working time period and recommended volume, and through the self-learning and adaptive characteristics of the artificial intelligence model, the mapping patterns between device temperature, ambient temperature, working time period and recommended volume can be found to obtain the corresponding relationship between device temperature, ambient temperature, working time period and recommended volume.

[0035] As described in the following steps, a second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model.

[0036] In one embodiment of the present invention, the specific process of "establishing a second corresponding sub-relationship between the recommended volume and the recommended fan speed and the recommended projection brightness through the second artificial intelligence sub-model" can be further explained in combination with the following description.

[0037] As described in the following steps, a first corresponding relationship between the recommended volume and the recommended fan speed is established through the first artificial intelligence model; In this embodiment, big data is used to collect fan noise data that is not obviously perceived by different users at different volumes. Not obviously perceived means that the fan noise level is lower than the user's hearing threshold, or the fan noise is masked by other sounds (such as environmental noise), and the fan noise does not interfere with the user's viewing.

[0038] It should be noted that the establishment of the first corresponding sub-relationship is generated based on the recommended volume and the recommended fan speed, wherein the recommended volume is used to determine the recommended noise that the user cannot obviously perceive at the recommended volume, and the recommended fan speed of the heat dissipation structure is obtained through the recommended noise.

[0039] Therefore, the first artificial intelligence sub-model algorithm can be used to analyze the pattern between the recommended volume and the recommended noise, as well as the pattern between the recommended noise and the recommended fan speed, and through the self-learning and adaptive characteristics of the first artificial intelligence sub-model, the mapping pattern between the recommended volume and the recommended noise, as well as the mapping pattern between the recommended noise and the recommended fan speed can be found. The first artificial intelligence sub-model can be learned and trained, and the first artificial intelligence sub-model can be made to fit the correspondence between the recommended volume and the recommended fan speed by adjusting the model structure and the weights between the model nodes.

[0040] As described in the following steps, a second corresponding relationship between the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence model.

[0041] It should be noted that the projection brightness of different projectors at different fan speeds is collected through big data. The second artificial intelligence grandson model algorithm can be used to collect the projection brightness of a large number of different projectors at different fan speeds, select the projection brightness of several different projectors at different fan speeds as sample data, learn and train the second artificial intelligence grandson model, and adjust the model structure and the weights between the model nodes to make the second artificial intelligence grandson model fit the corresponding relationship between the recommended fan speed and the recommended projection brightness.

[0042] It should be noted that if the original projection brightness is higher than the recommended brightness, the original projection brightness is adjusted to the recommended brightness; if the original projection brightness is lower than the recommended brightness, there is no need to adjust the projection brightness.

[0043] In another embodiment of the present invention, the specific process of "establishing a correspondence between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the heat dissipation structure of the projection through an artificial intelligence model" described in step S110 can be further explained in combination with the following description.

[0044] As described in the following steps, determining the temperature difference between the standard operating temperature and the current device temperature; It should be noted that, in order to more accurately determine the current heat dissipation requirement of the projector, the temperature difference between the standard operating temperature and the current device temperature may be calculated, thereby more accurately adjusting the working mode of the projector.

[0045] As described in the following steps, a correspondence between the temperature difference, the ambient temperature, and the working time period and the recommended volume, the recommended projection brightness, and the recommended fan speed of the heat dissipation structure is established through the artificial intelligence model.

[0046] In one embodiment of the present invention, the specific process of "establishing the correspondence between the temperature difference, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model" can be further explained in combination with the following description.

[0047] As described in the following steps, a first corresponding sub-relationship between the temperature difference, the ambient temperature, the working time period and the recommended volume is established through the first artificial intelligence sub-model; It should be noted that the establishment of the first corresponding sub-relationship is based on the temperature difference, the ambient temperature, the working time period and the recommended volume, wherein the recommended volume is calculated through big data, and the information on the acceptance of different volumes by different users when watching movies in different time periods is widely collected, so as to obtain a recommended volume value of the projector in the working time period that is in line with the habits of most people and can ensure the movie watching while avoiding disturbing others to the greatest extent.

[0048] In addition, since users may have different hearing sensitivities and preferences, the recommended volume can also be configured to be customized according to the different noise sensitivity of different users. Specifically, the recommended volume value that meets the habits of most people during the target working time period is set to X 标 , the formula for custom settings is as follows: X 设置 =X 标 ×C Among them, X 设置 To customize the volume, C adjusts the multiple.

[0049] Therefore, the first artificial intelligence sub-model algorithm can be used to analyze the patterns between temperature difference, ambient temperature, working time period and recommended volume, and through the self-learning and adaptive characteristics of the artificial intelligence model, the mapping patterns between temperature difference, ambient temperature, working time period and recommended volume can be found to obtain the corresponding relationship between temperature difference, ambient temperature, working time period and recommended volume.

[0050] As described in the following steps, a second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model.

[0051] In one embodiment of the present invention, the specific process of "establishing a second corresponding sub-relationship between the recommended volume and the recommended fan speed and the recommended projection brightness through the second artificial intelligence sub-model" can be further explained in combination with the following description.

[0052] As described in the following steps, a first corresponding relationship between the recommended volume and the recommended fan speed is established through the first artificial intelligence model; In this embodiment, big data is used to collect fan noise data that is not obviously perceived by different users at different volumes. Not obviously perceived means that the fan noise level is lower than the user's hearing threshold, or the fan noise is masked by other sounds (such as environmental noise), and the fan noise does not interfere with the user's viewing.

[0053] It should be noted that the establishment of the first corresponding sub-relationship is generated based on the recommended volume and the recommended fan speed, wherein the recommended volume is used to determine the recommended noise that the user cannot obviously perceive at the recommended volume, and the recommended fan speed of the heat dissipation structure is obtained through the recommended noise.

[0054] Therefore, the first artificial intelligence sub-model algorithm can be used to analyze the pattern between the recommended volume and the recommended noise, as well as the pattern between the recommended noise and the recommended fan speed, and through the self-learning and adaptive characteristics of the first artificial intelligence sub-model, the mapping pattern between the recommended volume and the recommended noise, as well as the mapping pattern between the recommended noise and the recommended fan speed can be found. The first artificial intelligence sub-model can be learned and trained, and the first artificial intelligence sub-model can be made to fit the correspondence between the recommended volume and the recommended fan speed by adjusting the model structure and the weights between the model nodes.

[0055] As described in the following steps, a second corresponding relationship between the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence model.

[0056] It should be noted that the projection brightness of different projectors at different fan speeds is collected through big data. The second artificial intelligence grandson model algorithm can be used to collect the projection brightness of a large number of different projectors at different fan speeds, select the projection brightness of several different projectors at different fan speeds as sample data, learn and train the second artificial intelligence grandson model, and adjust the model structure and the weights between the model nodes to make the second artificial intelligence grandson model fit the corresponding relationship between the recommended fan speed and the recommended projection brightness.

[0057] It should be noted that if the original projection brightness is higher than the recommended brightness, the original projection brightness is adjusted to the recommended brightness; if the original projection brightness is lower than the recommended brightness, there is no need to adjust the projection brightness.

[0058] As described in step S120, the current device temperature, current ambient temperature and current working time period of the projector are obtained, and the target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period is determined through the corresponding relationship; wherein the working mode includes a recommended volume, a recommended projection brightness and a recommended fan speed of a heat dissipation structure, and the recommended fan speed is a speed that will not cause noise to the user at the current recommended volume.

[0059] As an example, the current device temperature, the current ambient temperature and the current working time period are input into the first artificial intelligence sub-model to obtain the recommended volume; the recommended volume is input into the first artificial intelligence grandchild model to obtain the recommended fan speed; the recommended fan speed is input into the second artificial intelligence grandchild model to project the recommended brightness.

[0060] As another example, the temperature difference between the standard operating temperature and the current device temperature is calculated, and the temperature difference, the current ambient temperature, and the current working time period are input into the first artificial intelligence sub-model to obtain a recommended volume; the recommended volume is input into the first artificial intelligence grandchild model to obtain a recommended fan speed; the recommended fan speed is input into the second artificial intelligence grandchild model to project the recommended brightness.

[0061] As described in step S130, the projector is adjusted according to the target working mode.

[0062] It should be noted that the speed of the heat dissipation structure is adjusted based on the calculated recommended fan speed, and the projection brightness is adjusted based on the calculated recommended brightness. If the original projection brightness is higher than the recommended brightness, the original projection brightness is adjusted to the recommended brightness; if the original projection brightness is lower than the recommended brightness, there is no need to adjust the projection brightness.

[0063] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0064] Reference Figure 2 , shows a heat dissipation control device for a projector provided in an embodiment of the present application, which is applied to a home projector, wherein the projector is provided with a heat dissipation structure, and the projector is placed near a user, and the projector is provided with a standard operating temperature; Specifically include: A correspondence establishing module 210, for establishing a correspondence between the device temperature, the ambient temperature and the working time period and the recommended brightness, the recommended volume and the recommended fan speed of the heat dissipation structure of the projection through an artificial intelligence model; The data processing module 220 is used to obtain the current device temperature, the current ambient temperature and the current working time period of the projector, and determine the target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the corresponding relationship; wherein the working mode includes the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure, and the recommended fan speed is the speed that will not cause noise impact on the user at the current recommended volume; The device adjustment module 230 is used to adjust the projector according to the target working mode.

[0065] In one embodiment of the present invention, the artificial intelligence model includes a first artificial intelligence sub-model and a second artificial intelligence sub-model; the corresponding relationship includes a first corresponding sub-relationship and a second corresponding sub-relationship; the corresponding relationship establishment module 210 includes: A first corresponding relationship establishing submodule, used to establish a first corresponding sub-relationship between the device temperature, the ambient temperature, the working time period and the recommended volume through the first artificial intelligence sub-model; The second corresponding relationship establishing submodule is used to establish a second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness through the second artificial intelligence sub-model.

[0066] In one embodiment of the present invention, the second artificial intelligence sub-model includes a first artificial intelligence grandchild model and a second artificial intelligence grandchild model; the second corresponding sub-relationship includes a first corresponding grandchild relationship and a second corresponding grandchild relationship, and the second corresponding relationship establishment sub-module includes: A first corresponding grandchild relationship establishing unit, configured to establish a first corresponding grandchild relationship between the recommended volume and the recommended fan speed through the first artificial intelligence grandchild model; The second corresponding grandchild relationship establishing unit is used to establish a second corresponding grandchild relationship between the recommended fan speed and the recommended projection brightness through the second artificial intelligence grandchild model.

[0067] In one embodiment of the present invention, the corresponding relationship establishing module 210 includes: A temperature difference calculation submodule, used to determine the temperature difference between the standard operating temperature and the current device temperature; The correspondence establishing submodule is used to establish the correspondence between the temperature difference, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model.

[0068] In one embodiment of the present invention, the artificial intelligence model includes a first artificial intelligence sub-model and a second artificial intelligence sub-model; the corresponding relationship includes a first corresponding sub-relationship and a second corresponding sub-relationship; the corresponding relationship establishment submodule includes: a first corresponding sub-relationship establishing unit, configured to establish a first corresponding sub-relationship between the temperature difference, the ambient temperature, the working time period and the recommended volume through the first artificial intelligence sub-model; The second corresponding sub-relationship establishing unit is used to establish a second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness through the second artificial intelligence sub-model.

[0069] In one embodiment of the present invention, the second artificial intelligence sub-model includes a first artificial intelligence grandchild model and a second artificial intelligence grandchild model; the second corresponding sub-relationship includes a first corresponding grandchild relationship and a second corresponding grandchild relationship, and the second corresponding sub-relationship establishing unit includes: a first corresponding grandchild relationship establishing subunit, configured to establish a first corresponding grandchild relationship between the recommended volume and the recommended fan speed through the first artificial intelligence grandchild model; The second corresponding grandchild relationship establishing subunit is used to establish a second corresponding grandchild relationship between the recommended fan speed and the recommended projection brightness through the second artificial intelligence grandchild model.

[0070] In one embodiment of the present invention, it also includes: The data collection module is used to collect fan noise data that is not obviously perceived by different users at different volume levels through big data.

[0071] Reference Figure 3 , showing a computer device of a projector working mode adjustment method based on artificial intelligence of the present invention, which may specifically include the following: The computer device 12 is in the form of a general-purpose computing device, and the components of the computer device 12 may include but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0072] The bus 18 represents one or more of several types of bus 18 structures, including a memory bus 18 or memory controller, a peripheral bus 18, an accelerated graphics port, a processor, or a local bus 18 using any of a variety of bus 18 architectures. These architectures include, by way of example, but are not limited to, an Industry Standard Architecture (ISA) bus 18, a Micro Channel Architecture (MAC) bus 18, an Enhanced ISA bus 18, an Audio Video Electronics Standards Association (VESA) local bus 18, and a Peripheral Component Interconnect (PCI) bus 18.

[0073] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0074] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (commonly referred to as a "hard drive"). Although Figure 3 Not shown, a disk drive for reading and writing to a removable non-volatile disk (such as a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM or other optical medium) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42, which are configured to perform the functions of various embodiments of the present invention.

[0075] A program / utility 40 having a set (at least one) of program modules 42 may be stored in, for example, a memory, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules 42, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0076] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, cameras, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the computer device 12 may also communicate with one or more networks (e.g., local area networks (LANs)), wide area networks (WANs), and / or public networks (e.g., the Internet) via a network adapter 20. Figure 3 As shown, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be understood that although Figure 3 Not shown, other hardware and / or software modules may be used in conjunction with the computer device 12, including but not limited to: microcode, device drivers, redundant processing units 16, external disk drive arrays, RAID systems, tape drives, and data backup storage systems 34, etc.

[0077] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, such as implementing the projector working mode adjustment method based on artificial intelligence provided in the embodiment of the present invention.

[0078] That is, when the processing unit 16 executes the program, the following is achieved: establishing a correspondence between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the heat dissipation structure of the projection through an artificial intelligence model; obtaining the current device temperature, current ambient temperature and current working time period of the projector, and determining a target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the correspondence; wherein the working mode includes the recommended volume, the recommended brightness of the projection and the recommended fan speed of the heat dissipation structure, and the recommended fan speed is a speed that will not generate noise to the user at the current recommended volume; and adjusting the projector according to the target working mode.

[0079] In an embodiment of the present invention, the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the projector working mode adjustment method based on artificial intelligence provided in all embodiments of the present application is implemented: That is, when the program is executed by the processor, it is achieved: establishing a correspondence between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the projector through an artificial intelligence model; obtaining the current device temperature, current ambient temperature and current working time period of the projector, and determining the target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the corresponding relationship; wherein the working mode includes the recommended volume, the recommended brightness of the projector and the recommended fan speed of the heat dissipation structure, and the recommended fan speed is a speed that will not cause noise to the user at the current recommended volume; and adjusting the projector according to the target working mode.

[0080] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device or device.

[0081] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0082] The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet). The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can be referred to each other.

[0083] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present application.

[0084] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0085] The above is a detailed introduction to the projector working mode adjustment method and device based on artificial intelligence provided by the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for adjusting the working mode of a projector based on artificial intelligence, applied to a home projector, wherein the projector is provided with a heat dissipation structure, and the projector is placed near a user, and the projector is provided with a standard working temperature; characterized in that: The method comprises: The artificial intelligence model is used to establish the correspondence between the device temperature, ambient temperature, and working time period and the recommended brightness, volume, and fan speed of the projector's heat dissipation structure; Obtaining the current device temperature, current ambient temperature and current working time period of the projector, and determining a target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the corresponding relationship; wherein the working mode includes a recommended volume, a recommended projection brightness and a recommended fan speed of a heat dissipation structure, and the recommended fan speed is a speed that will not cause noise impact on the user at the current recommended volume; The projector is adjusted according to the target operating mode.

2. The method according to claim 1, characterized in that The artificial intelligence model includes a first artificial intelligence sub-model and a second artificial intelligence sub-model; the corresponding relationship includes a first corresponding sub-relationship and a second corresponding sub-relationship; the step of establishing the corresponding relationship between the device temperature, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes: Establishing a first corresponding sub-relationship between the device temperature, the ambient temperature, the working time period and the recommended volume by using the first artificial intelligence sub-model; A second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model.

3. The method according to claim 2, characterized in that The second artificial intelligence sub-model includes a first artificial intelligence grandchild model and a second artificial intelligence grandchild model; the second corresponding sub-relationship includes a first corresponding grandchild relationship and a second corresponding grandchild relationship, and the step of establishing a second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness through the second artificial intelligence sub-model includes: Establishing a first corresponding relationship between the recommended volume and the recommended fan speed through the first artificial intelligence model; A second corresponding relationship between the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence model.

4. The method according to claim 1, characterized in that The step of establishing a corresponding relationship between the device temperature, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes: Determining a temperature difference between the standard operating temperature and the current device temperature; The artificial intelligence model is used to establish a correspondence between the temperature difference, the ambient temperature, the working time period, and the recommended volume, the recommended projection brightness, and the recommended fan speed of the heat dissipation structure.

5. The method according to claim 4, characterized in that The artificial intelligence model includes a first artificial intelligence sub-model and a second artificial intelligence sub-model; the corresponding relationship includes a first corresponding sub-relationship and a second corresponding sub-relationship; the step of establishing the corresponding relationship between the temperature difference, the ambient temperature and the working time period and the recommended volume, the recommended projection brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes: Establishing a first corresponding sub-relationship between the temperature difference, the ambient temperature, the working time period and the recommended volume through the first artificial intelligence sub-model; A second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model.

6. The method according to claim 5, characterized in that The second artificial intelligence sub-model includes a first artificial intelligence grandchild model and a second artificial intelligence grandchild model; the second corresponding sub-relationship includes a first corresponding grandchild relationship and a second corresponding grandchild relationship, and the step of establishing a second corresponding sub-relationship between the recommended volume, the recommended fan speed and the recommended projection brightness through the second artificial intelligence sub-model includes: Establishing a first corresponding relationship between the recommended volume and the recommended fan speed through the first artificial intelligence model; A second corresponding relationship between the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence model.

7. The method according to claim 1, characterized in that Also includes: Big data is used to collect fan noise data that is not noticeable to different users at different volume levels.

8. An artificial intelligence-based projector working mode adjustment device, applied to a home projector, wherein the projector is provided with a heat dissipation structure, and the projector is placed near a user, and the projector is provided with a standard working temperature; characterized in that: include: A corresponding relationship establishment module is used to establish a corresponding relationship between the device temperature, ambient temperature and working time period and the recommended brightness, recommended volume and recommended fan speed of the heat dissipation structure of the projector through an artificial intelligence model; A data processing module, used to obtain the current device temperature, current ambient temperature and current working time period of the projector, and determine the target working mode corresponding to the current device temperature, the current ambient temperature and the current working time period through the corresponding relationship; wherein the working mode includes a recommended volume, a recommended projection brightness and a recommended fan speed of a heat dissipation structure, and the recommended fan speed is a speed that will not cause noise impact on the user at the current recommended volume; A device adjustment module is used to adjust the projector according to the target working mode.

9. A computer device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program implements the method according to any one of claims 1 to 7 when executed by the processor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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