An AI-based method and device for adjusting the working mode of a projector

Abstract

The present application provides a method and device for adjusting the working mode of a projector based on artificial intelligence, including the steps of: establishing a corresponding relationship between the device temperature, ambient temperature, working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the heat dissipation structure 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, current ambient temperature, and 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; adjusting the projector according to the target working mode. By establishing the corresponding relationship between the device temperature, ambient temperature, and working time period and the recommended fan speed of the heat dissipation structure, the obtained recommended fan speed will not cause noise impact on the user.

Description

Technical Field

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

[0002] A projector, also known as a projection machine, is a device that uses a light source and an optical system to project an image onto a screen or other flat surface, and can be connected to a computer, VCD, DVD, BD, game console, DV, etc. through different interfaces to play corresponding video signals.

[0003] Projectors are usually used in places such as homes, meeting rooms, classrooms, cinemas, and studios for projection display. Among them, the home projector, as an important part of modern home entertainment, allows users to choose a specific placement location according to personal preferences and home layout. It can be placed near the viewing position where the user is located for easy user operation and adjustment, or it can be placed at a relatively far position from the user to obtain a better projection angle.

[0004] For a home projector placed near the user, when the cooling fan of the projector operates at full power, the high-speed cooling fan will generate relatively obvious mechanical noise. When the user is immersed in a quiet movie-watching environment, these noises will not only distract the user's attention but also seriously reduce the user's movie-watching 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 that overcomes or at least partially solves the above problems, including:

[0006] A method for adjusting the working mode of a projector based on artificial intelligence, which is applied to a home projector. The projector is provided with a heat dissipation structure and is placed near the location where the user is located, and the projector has a standard working temperature;

[0007] The method includes:

[0008] Establish a correspondence relationship between the device temperature, the ambient temperature, the working time period, the recommended projection brightness, the recommended volume, and the recommended fan speed of the heat dissipation structure through an artificial intelligence model;

[0009] 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 correspondence 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;

[0010] Adjust the projector according to the target working mode.

[0011] Further, 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, the working time period, the recommended volume, the recommended projection brightness, and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes:

[0012] 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;

[0013] 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.

[0014] 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. The step of establishing the 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:

[0015] Establish a first corresponding grandchild relationship between the recommended volume and the recommended fan speed through the first artificial intelligence grandchild model;

[0016] Establish a second corresponding grandchild relationship between the recommended fan speed and the recommended projection brightness through the second artificial intelligence grandchild model.

[0017] Further, the step of establishing the corresponding relationship between the device temperature, the ambient temperature, the working time period, the recommended volume, the recommended projection brightness, and the recommended fan speed of the heat dissipation structure through the artificial intelligence model includes:

[0018] Determine the temperature difference between the standard working temperature and the current device temperature;

[0019] Establish the corresponding relationship between the temperature difference, the ambient temperature, the working time period, the recommended volume, the recommended projection brightness, and the recommended fan speed of the heat dissipation structure through the artificial intelligence model.

[0020] Further, 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, 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:

[0021] 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;

[0022] 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.

[0023] 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 the 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 includes:

[0024] Establishing a first corresponding grandchild relationship between the recommended volume and the recommended fan speed through the first artificial intelligence grandchild model;

[0025] Establishing a second corresponding grandchild relationship between the recommended fan speed and the recommended projection brightness through the second artificial intelligence grandchild model.

[0026] Further, it further includes:

[0027] Collecting fan noise data that is not significantly perceptible to different users at different volumes through big data.

[0028] An artificial intelligence-based projector working mode adjustment device, which is applied to a home projector. The projector is provided with a heat dissipation structure, and the projector is placed close to the location where the user is located. The projector has a standard working temperature; it includes:

[0029] A corresponding relationship establishment module, which is used to establish a corresponding relationship between the device temperature, the ambient temperature, the working time period and the recommended projection brightness, the recommended volume, and the recommended fan speed of the heat dissipation structure through an artificial intelligence model;

[0030] A data processing module, configured to obtain the current device temperature, the current ambient temperature, and the current working time period of the projector, and determine, according to the corresponding relationship, a target working mode corresponding to the current device temperature, the current ambient temperature, and the current working time period; wherein, the working mode includes a recommended volume, a recommended projection brightness, and a recommended fan speed of the heat dissipation structure, and the recommended fan speed is a speed that will not cause noise impact on users at the current recommended volume;

[0031] A device adjustment module, configured to adjust the projector according to the target working mode.

[0032] A computer device, comprising a processor, a memory, and a computer program stored on the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the above-mentioned method for adjusting the working mode of a projector based on artificial intelligence are implemented.

[0033] A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned method for adjusting the working mode of a projector based on artificial intelligence are implemented.

[0034] The present application has the following advantages:

[0035] In the embodiments of the present application, in view of the technical problem in the prior art that "when the cooling fan of a projector operates at full power, the high-speed cooling fan will generate obvious mechanical noise. When users are immersed in a quiet viewing environment, these noises will not only distract the users' attention but also seriously reduce the users' viewing experience", the present application provides a solution for determining a target working mode based on 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, the corresponding relationships between the device temperature, ambient temperature, and working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the cooling structure are established through the artificial intelligence model; 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, current ambient temperature, and current working time period is determined through the corresponding relationships; wherein, the working mode includes the recommended volume, the recommended projection brightness, and the recommended fan speed of the cooling structure, and the recommended fan speed is the speed that will not cause noise impact on users at the current recommended volume; the projector is adjusted according to the target working mode. By establishing the corresponding relationships between the device temperature, ambient temperature, and working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the cooling structure, the recommended fan speed obtained will not cause noise impact on users; by jointly adjusting the cooling of the projector through the recommended volume, the recommended projection brightness, and the recommended fan speed of the cooling structure, the projector can maintain a good working state and bring a good projection effect to users. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the present application, the following will briefly introduce the drawings required for the description of the present application. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0037] Figure 1 is a flowchart of the steps of a method for adjusting the working mode of a projector based on artificial intelligence provided by an embodiment of the present application;

[0038] Figure 2 is a block diagram of the structure of a device for adjusting the working mode of a projector based on artificial intelligence provided by an embodiment of the present application;

[0039] Figure 3 is a schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] To make the objectives, features, and advantages of the present application more apparent and understandable, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the scope of protection of the present application.

[0041] The inventors found through analyzing the prior art that: for a home projector placed close to the user, when the cooling fan of the projector operates at full power, the high-speed cooling fan will generate relatively obvious mechanical noise. In fact, the projector does not need to operate at 100% power, and it can also reduce the temperature of the projector to a reasonable temperature threshold within a certain period of time to enable it to work properly. At this time, the noise generated by the cooling fan will also be lower than that generated during full-power operation, enabling the projector to ensure normal operation and not affecting the user's viewing experience. Moreover, during the user's viewing process, the projector will not be touched, and it is not necessary to reduce the temperature of the optical engine too low, which not only wastes electric energy but also generates relatively large noise. Therefore, by analyzing the projection data of the projector, the recommended rotation speed of the cooling fan can be calculated, enabling the projector to dissipate heat normally and the generated noise not to affect the user's viewing experience.

[0042] Refer to Figure 1 , which shows a method for adjusting the working mode of a projector based on artificial intelligence provided by an embodiment of the present application;

[0043] The method includes:

[0044] S110. Establish a correspondence relationship between the device temperature, ambient temperature, working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the cooling structure through an artificial intelligence model;

[0045] S120. 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, current ambient temperature, and current working time period through the correspondence relationship; wherein, the working mode includes the recommended volume, recommended projection brightness, and recommended fan speed of the cooling structure, and the recommended fan speed is the speed that will not cause noise impact on the user at the current recommended volume;

[0046] S130. Adjust the projector according to the target working mode.

[0047] In the embodiments of the present application, in view of the technical problem in the prior art that "when the cooling fan of a projector operates at full power, the high-speed cooling fan will generate obvious mechanical noise. When users are immersed in a quiet viewing environment, these noises will not only distract the users' attention but also seriously reduce the users' viewing experience", the present application provides a solution for determining a target working mode based on 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 corresponding relationship between the device temperature, ambient temperature, and working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the cooling structure 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, current ambient temperature, and current working time period through the corresponding relationship; where the working mode includes the recommended volume, recommended projection brightness, and recommended fan speed of the cooling structure, and the recommended fan speed is a speed that will not cause noise interference to users at the current recommended volume; adjusting the projector according to the target working mode. By establishing the corresponding relationship between the device temperature, ambient temperature, and working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the cooling structure, the obtained recommended fan speed will not cause noise interference to users; by jointly adjusting the cooling of the projector through the recommended volume, recommended projection brightness, and recommended fan speed of the cooling structure, the projector can maintain a good working state and bring a good projection effect to users.

[0048] Next, a method for adjusting the working mode of a projector based on artificial intelligence in this exemplary embodiment will be further described.

[0049] As described in step S110, establish a corresponding relationship between the device temperature, ambient temperature, and working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the cooling structure through an artificial intelligence model.

[0050] It should be noted 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.

[0051] In an embodiment of the present invention, the specific process of "establishing a corresponding relationship between the device temperature, ambient temperature, and working time period and the recommended projection brightness, recommended volume, and recommended fan speed of the cooling structure" described in step S110 can be further described in combination with the following description.

[0052] As described in the following steps, establish a first corresponding sub-relationship between the device temperature, the ambient temperature, and the working time period and the recommended volume through the first artificial intelligence sub-model;

[0053] It should be noted that the device temperature is the operating temperature of the projector.

[0054] The ambient temperature is the temperature of the external environment of the projector.

[0055] The working time period includes the time periods when noise control is required by law (such as from 22:00 at night to 6:00 in the early morning of the next day) and the time periods when noise control is not required. Users can also customize the time periods when noise control is required according to their personal living habits. For example, if user A's rest time at night is from 23:00 at night to 7:00 in the morning of the next day, and the lunch break time is from 12:00 noon to 14:00 in the afternoon, then the time periods when user A's projector needs to perform noise control can be set to from 23:00 at night to 7:00 in the morning of the next day, and from 12:00 noon to 14:00 in the afternoon.

[0056] The recommended volume is the volume that will not affect the neighbors at the current recommended volume.

[0057] The recommended fan speed is the speed that will not cause noise impact on the user at the current recommended volume.

[0058] The recommended projection brightness is the highest projection brightness of the projector at the current recommended fan speed.

[0059] It should be noted that the establishment of the first corresponding sub-relationship is generated based on the device temperature, the ambient temperature, the working time period and the recommended volume. Among them, the recommended volume is calculated through big data, widely collecting information on the acceptance degree of different volumes by different users when watching movies at different time periods, so as to obtain a recommended volume value that can ensure movie viewing and avoid disturbing others to the greatest extent and conforms to the habits of most people for the projector during this working time period.

[0060] In addition, due to the possible differences in the auditory sensitivity and preferences of users, the recommended volume can also be configured for custom settings according to the different sensitivities of different users to noise. Specifically, let the recommended volume value that conforms to the habits of most people in the target working time period be X 标 , and the formula for custom settings is as follows:

[0061] X 设置 = X 标 × C

[0062] where X 设置 is the custom volume and C is the adjustment multiple.

[0063] Therefore, the first artificial intelligence sub-model algorithm can be used to analyze the relationship 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 relationship between device temperature, ambient temperature, working time period and recommended volume can be found, so as to obtain the corresponding relationship between device temperature, ambient temperature, working time period and recommended volume.

[0064] As described in the following steps, the second corresponding sub-relationship between the recommended volume, the recommended fan speed and the projected recommended brightness is established through the second artificial intelligence sub-model.

[0065] In an embodiment of the present invention, the specific process of "establishing the second corresponding sub-relationship between the recommended volume, the recommended fan speed and the projected recommended brightness through the second artificial intelligence sub-model" can be further described in combination with the following description.

[0066] As described in the following steps, the first corresponding grand-relationship between the recommended volume and the recommended fan speed is established through the first artificial intelligence grand-model;

[0067] In this embodiment, fan noise data that is not significantly perceived by different users at different volumes is collected through big data. Here, "not significantly perceived" means that the noise level of the fan is lower than the user's auditory threshold, or the fan noise is masked by other sounds (such as ambient noise), and the fan noise will not interfere with the user's movie viewing.

[0068] It should be noted that the establishment of the first corresponding grand-relationship is generated based on the recommended volume and the recommended fan speed. Among them, the recommended volume is used to determine the recommended noise that is not significantly perceived by the user at this recommended volume, and the recommended fan speed of the heat dissipation structure is obtained through this recommended noise.

[0069] Therefore, the first artificial intelligence sub-model algorithm can be used to analyze the relationship between the recommended volume and the recommended noise, and the relationship 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 relationship between the recommended volume and the recommended noise, and the mapping relationship between the recommended noise and the recommended fan speed can be found, and the first artificial intelligence sub-model is learned and trained. By adjusting the model structure and the weights between model nodes, the first artificial intelligence sub-model is made to fit the corresponding relationship between the recommended volume and the recommended fan speed.

[0070] As described in the following steps, the second corresponding grand-relationship between the recommended fan speed and the projected recommended brightness is established through the second artificial intelligence grand-model.

[0071] It should be noted that the projection brightness of different projectors at different fan speeds is collected through big data. The second artificial intelligence Sun model algorithm can be used to collect and summarize 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 Sun model, and by adjusting the model structure and the weights between model nodes, make the second artificial intelligence Sun model fit the corresponding relationship between the recommended fan speed and the projection recommended brightness.

[0072] 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, the projection brightness does not need to be adjusted.

[0073] In another embodiment of the present invention, the specific process of "establishing the corresponding relationship between the device temperature, the ambient temperature, the working time period and the recommended fan speed of the projection recommended brightness, the recommended volume and the heat dissipation structure through the artificial intelligence model" in step S110 can be further described in combination with the following description.

[0074] As described in the following steps, determine the temperature difference between the standard working temperature and the current device temperature;

[0075] It should be noted that in order to more accurately judge the current heat dissipation requirement of the projector, the temperature difference between the standard working temperature and the current device temperature can be calculated, so as to more precisely adjust the working mode of the projector.

[0076] As described in the following steps, establish the corresponding relationship between the temperature difference, the ambient temperature, the working time period and the recommended volume, the projection recommended brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model.

[0077] In an embodiment of the present invention, the specific process of "establishing the corresponding relationship between the temperature difference, the ambient temperature, the working time period and the recommended volume, the projection recommended brightness and the recommended fan speed of the heat dissipation structure through the artificial intelligence model" can be further described in combination with the following description.

[0078] As described in the following steps, establish the 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;

[0079] It should be noted that the establishment of the first corresponding sub-relationship is generated based on the temperature difference, the ambient temperature, the working time period, and the recommended volume. Among them, the recommended volume is calculated through big data, widely collecting information on the acceptance levels of different volumes by different users when watching movies at different time periods, so as to obtain a recommended volume value that can not only ensure movie viewing but also avoid disturbing others to the greatest extent and conforms to the habits of most people for the projector during this working time period.

[0080] In addition, due to possible differences in the auditory sensitivity and preferences of users, the recommended volume can also be configured for custom settings according to the different sensitivities of different users to noise. Specifically, let the recommended volume value that conforms to the habits of most people during the target working time period be X 标 , and the formula for custom settings is as follows:

[0081] X 设置 = X 标 × C

[0082] Among them, X 设置 is the custom volume, and C is the adjustment multiple.

[0083] Therefore, the algorithm of the first artificial intelligence sub-model can be used to analyze the laws between the temperature difference, the ambient temperature, the working time period, and the recommended volume, and the mapping laws between the temperature difference, the ambient temperature, the working time period, and the recommended volume can be found through the self-learning and self-adaptive characteristics of the artificial intelligence model, so as to obtain the corresponding relationship between the temperature difference, the ambient temperature, the working time period, and the recommended volume.

[0084] As described in the following steps, the second corresponding sub-relationship between the recommended volume, the recommended fan speed, and the projection recommended brightness is established through the second artificial intelligence sub-model.

[0085] In an embodiment of the present invention, the specific process of "establishing the second corresponding sub-relationship between the recommended volume, the recommended fan speed, and the projection recommended brightness through the second artificial intelligence sub-model" can be further described in combination with the following description.

[0086] As described in the following steps, the first corresponding grand-relationship between the recommended volume and the recommended fan speed is established through the first artificial intelligence grand-model;

[0087] In this embodiment, fan noise data that is not significantly perceived by different users at different volumes is collected through big data. Here, not being significantly perceived means that the noise level of the fan is lower than the user's auditory threshold, or the fan noise is masked by other sounds (such as ambient noise), and the fan noise will not interfere with the user's movie viewing.

[0088] It should be noted that the establishment of the first corresponding relationship is generated based on the recommended volume and the recommended fan speed. Among them, the recommended volume is used to determine the recommended noise that is not significantly perceived by the user at this recommended volume, and the recommended fan speed of the heat dissipation structure is obtained through this recommended noise.

[0089] Therefore, the first artificial intelligence sub-model algorithm can be used to analyze the law between the recommended volume and the recommended noise, as well as the law between the recommended noise and the recommended fan speed, and find the mapping law between the recommended volume and the recommended noise, and the mapping law between the recommended noise and the recommended fan speed through the self-learning and adaptive characteristics of the first artificial intelligence sub-model. The first artificial intelligence sub-model is learned and trained, and by adjusting the model structure and the weights between model nodes, the first artificial intelligence sub-model fits the corresponding relationship between the recommended volume and the recommended fan speed.

[0090] As described in the following steps, the second corresponding relationship between the recommended fan speed and the projected recommended brightness is established through the second artificial intelligence sub-model.

[0091] It should be noted that the projected brightness of different projectors at different fan speeds is collected through big data. The second artificial intelligence sub-model algorithm can be used to collect and summarize the projected brightness of a large number of different projectors at different fan speeds, select the projected brightness of several different projectors at different fan speeds as sample data, learn and train the second artificial intelligence sub-model, and by adjusting the model structure and the weights between model nodes, the second artificial intelligence sub-model fits the corresponding relationship between the recommended fan speed and the projected recommended brightness.

[0092] It should be noted that if the original projected brightness is higher than the recommended brightness, the original projected brightness is adjusted to the recommended brightness; if the original projected brightness is lower than the recommended brightness, the projected brightness does not need to be adjusted.

[0093] As described in step S120, the current device temperature, the current ambient temperature, and the current working 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 period is determined through the corresponding relationship; among them, the working mode includes the recommended volume, the projected recommended 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.

[0094] As an example, the current device temperature, the current ambient temperature, and the current working 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 sub-model to obtain the recommended fan speed; the recommended fan speed is input into the second artificial intelligence sub-model to obtain the projected recommended brightness.

[0095] As another example, calculate the temperature difference between the standard operating temperature and the current device temperature, input the temperature difference, the current ambient temperature, and the current working period into the first artificial intelligence sub-model to obtain a recommended volume; input the recommended volume into the first artificial intelligence grandchild model to obtain a recommended fan speed; input the recommended fan speed into the second artificial intelligence grandchild model to project a recommended brightness.

[0096] As described in step S130, adjust the projector according to the target working mode.

[0097] It should be noted that adjust the speed of the heat dissipation structure based on the calculated recommended fan speed, and adjust the projection brightness based on the calculated recommended brightness. If the original projection brightness is higher than the recommended brightness, then adjust the original projection brightness to the recommended brightness; if the original projection brightness is lower than the recommended brightness, then there is no need to adjust the projection brightness.

[0098] For the device embodiment, since it is basically similar to the method embodiment, it is described relatively simply. For the relevant parts, refer to the partial description of the method embodiment.

[0099] Refer to Figure 2 , which shows a heat dissipation control device for a projector provided by an embodiment of the present application, applied to a home projector. The projector is provided with a heat dissipation structure, and the projector is placed close to the location where the user is located. The projector is provided with a standard operating temperature;

[0100] Specifically, it includes:

[0101] A correspondence relationship establishment module 210, configured to establish a correspondence relationship between the device temperature, the ambient temperature, and the working period and the recommended projection brightness, the recommended volume, and the recommended fan speed of the heat dissipation structure through an artificial intelligence model;

[0102] A data processing module 220, configured to obtain the current device temperature, the current ambient temperature, and the current working period of the projector, and determine a target working mode corresponding to the current device temperature, the current ambient temperature, and the current working period through the correspondence 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 a speed that will not cause noise impact on the user at the current recommended volume;

[0103] A device adjustment module 230, configured to adjust the projector according to the target working mode.

[0104] In an 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:

[0105] A first corresponding relationship establishment sub-module, configured 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;

[0106] A second corresponding relationship establishment sub-module, configured to establish a second corresponding sub-relationship between the recommended volume, the recommended fan speed, and the projected recommended brightness through the second artificial intelligence sub-model.

[0107] In an 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:

[0108] A first corresponding grandchild relationship establishment 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;

[0109] A second corresponding grandchild relationship establishment unit, configured to establish a second corresponding grandchild relationship between the recommended fan speed and the projected recommended brightness through the second artificial intelligence grandchild model.

[0110] In an embodiment of the present invention, the corresponding relationship establishment module 210 includes:

[0111] A temperature difference calculation sub-module, configured to determine the temperature difference between the standard working temperature and the current device temperature;

[0112] A corresponding relationship establishment sub-module, configured to establish a corresponding relationship between the temperature difference, the ambient temperature, the working time period, and the recommended volume, the projected recommended brightness, and the recommended fan speed of the heat dissipation structure through the artificial intelligence model.

[0113] In an 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 sub-module includes:

[0114] A first corresponding sub-relationship establishment 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;

[0115] A second corresponding sub-relationship establishing unit, configured to establish a second corresponding sub-relationship between the recommended volume, the recommended fan speed, and the projected recommended brightness through the second artificial intelligence sub-model.

[0116] In an 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. The second corresponding sub-relationship establishing unit includes:

[0117] A first corresponding grandchild relationship establishing sub-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;

[0118] A second corresponding grandchild relationship establishing sub-unit, configured to establish a second corresponding grandchild relationship between the recommended fan speed and the projected recommended brightness through the second artificial intelligence grandchild model.

[0119] In an embodiment of the present invention, it further includes:

[0120] A data collection module, configured to collect fan noise data that is not significantly perceptible to different users at different volumes through big data.

[0121] Refer to Figure 3 , which shows a computer device for an artificial intelligence-based projector working mode adjustment method according to the present invention. Specifically, it may include the following:

[0122] The above computer device 12 is presented in the form of a general computing device. 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).

[0123] The bus 18 represents one or more of several bus 18 structures, including a memory bus 18 or a memory controller, a peripheral bus 18, a graphics acceleration port, a processor, or a local bus 18 using any bus 18 structure in a variety of bus 18 structures. For example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus 18, a Micro Channel Architecture (MAC) bus 18, an Enhanced ISA bus 18, a Video Electronics Standards Association (VESA) local bus 18, and a Peripheral Component Interconnect (PCI) bus 18.

[0124] 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.

[0125] 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. The computing device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 can be used for reading from and writing to non-removable, non-volatile magnetic media (commonly known as a "hard disk drive"). Although Figure 3 not shown in FIG. Figure 3 , a disk drive for reading from and writing to a removable non-volatile disk (such as a "floppy disk"), and an optical disk drive for reading from and writing to a removable non-volatile optical disk (e.g., CD-ROM, DVD-ROM or other optical media) can be provided. In these instances, each drive can be connected to the bus 18 by one or more data media interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42 that are configured to carry out the functions of embodiments of the present invention.

[0126] A program / utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory. Such program modules 42 include—but are not limited to—an operating system, one or more application programs, other program modules 42, and program data, each of which examples or some combination thereof may include an implementation of a network environment. The program modules 42 generally carry out the functions and / or methods in the described embodiments of the present invention.

[0127] The computing device 12 may also communicate with one or more external devices 14 such as a keyboard, a pointing device, a display 24, a camera, etc., and may also communicate with one or more devices that enable a user to interact with the computing device 12, and / or with any device that enables the computing device 12 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication may occur via an input / output (I / O) interface 22. Also, the computing device 12 may communicate with one or more networks such as a local area network (LAN), a wide area network (WAN), and / or a public network (such as the Internet) via a network adapter 20. As Figure 3 shown, the network adapter 20 communicates with other modules of the computing device 12 via the bus 18. It should be appreciated that although Figure 3 not shown in FIG. Figure 3 , other hardware and / or software modules may be used in conjunction with the computing 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.

[0128] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, for example, implementing the method for adjusting the working mode of the projector based on artificial intelligence provided by the embodiments of the present invention.

[0129] That is, when the above-mentioned processing unit 16 executes the above-mentioned program, it realizes: establishing the corresponding relationships between the device temperature, the ambient temperature, and the working time period and the recommended projection brightness, the recommended volume, and the recommended fan speed of the heat dissipation structure through an artificial intelligence model; obtaining the current device temperature, the current ambient temperature, and the 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 relationships; 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 users at the current recommended volume; adjusting the projector according to the target working mode.

[0130] In the embodiments of the present invention, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it realizes the method for adjusting the working mode of the projector based on artificial intelligence provided by all the embodiments of the present application:

[0131] That is, when the program is executed by a processor, it realizes: establishing the corresponding relationships between the device temperature, the ambient temperature, and the working time period and the recommended projection brightness, the recommended volume, and the recommended fan speed of the heat dissipation structure through an artificial intelligence model; obtaining the current device temperature, the current ambient temperature, and the 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 relationships; 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 users at the current recommended volume; adjusting the projector according to the target working mode.

[0132] Any combination of one or more computer-readable media may be employed. The computer-readable media 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, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.

[0133] A computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which computer-readable program code is carried. Such a propagated data signal may take many forms, including - but not limited to - an electromagnetic signal, an optical signal, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0134] The computer program code for performing the operations of the present invention may be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may 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 may be connected to an external computer (e.g., through the Internet using an Internet service provider). Each embodiment in this specification is described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts among the various embodiments may be referred to each other.

[0135] Although the preferred embodiments of the embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present application.

[0136] Finally, it should also be noted that in this text, relational terms such as first and second 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 term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or terminal device comprising the element.

[0137] The above has introduced in detail a method and device for adjusting the working mode of a projector based on artificial intelligence provided by the present application. Specific examples are used in this text to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to 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 corresponding relationship 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 is established through the artificial intelligence model; wherein the device temperature is the working temperature of the projector; the ambient temperature is the temperature of the external environment of the projector; the working time period is the working time period of the projector; and the recommended volume is a recommended volume value of the projector in the working time period that can ensure viewing and avoid disturbing others to the greatest extent; 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 among the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model; specifically, the recommended noise corresponding to the heat dissipation structure is determined according to the recommended volume, and the recommended fan speed of the heat dissipation structure is determined according to the recommended noise; the maximum projection brightness of the projector at the current recommended fan speed is determined according to the recommended fan speed; wherein the recommended noise is a noise level of the fan that is lower than the user's hearing threshold, or the fan noise is masked by other sounds, and the fan noise does not interfere with the user's viewing; the recommended projection brightness is the maximum projection brightness of the projector at the current recommended fan speed.

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: 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; wherein the temperature difference is the temperature difference between the standard working temperature and the current device temperature; the ambient temperature is the temperature of the external environment of the projector; and the recommended volume is a recommended volume value in the working time period that can ensure viewing while avoiding disturbing others to the greatest extent; A second corresponding sub-relationship among the recommended volume, the recommended fan speed and the recommended projection brightness is established through the second artificial intelligence sub-model; specifically, the recommended noise corresponding to the heat dissipation structure is determined according to the recommended volume, and the recommended fan speed of the heat dissipation structure is determined according to the recommended noise; the maximum projection brightness of the projector at the current recommended fan speed is determined according to the recommended fan speed; wherein the recommended noise is a noise level of the fan that is lower than the user's hearing threshold, or the fan noise is masked by other sounds, and the fan noise does not interfere with the user's viewing; the recommended projection brightness is the maximum projection brightness of the projector at the current recommended fan speed.

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. 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, used to establish a corresponding relationship 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; wherein the device temperature is the working temperature of the projector; the ambient temperature is the temperature of the external environment of the projector; the working time period is the working time period of the projector; and the recommended volume is a recommended volume value of the projector in the working time period that can ensure viewing while avoiding interference to others to the greatest extent; 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.

8. 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 6 when executed by the processor.

9. 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 6 is implemented.

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