Shooting environment compensation method, system and equipment based on digital twinning

Abstract

The invention relates to the technical field of intelligent control, and discloses a digital twinning-based shooting environment compensation method, system and device. The method comprises the steps of obtaining shooting environment big data and a shooting environment twinborn model, obtaining real-time shooting environment data, operating the shooting environment twinborn model to analyze the real-time shooting environment data, generating a real-time twinborn shooting environment and outputting the real-time twinborn shooting environment. According to the method and the device, the big data of the shooting environment is obtained by gathering the collected massive shooting data, a data basis is provided for pre-construction of the shooting environment twinborn model, and the shooting environment twinborn model used for analyzing the shooting environment data, generating the twinborn shooting environment and outputting the shooting environment data is obtained by combining a digital twinborn technology; according to the invention, shooting environment compensation which is low in cost and does not lose the shooting environment is realized, so that a high-quality shooting environment capable of improving the quality of a shooting result is provided.

Description

Technical Field

[0001] The present application relates to the field of intelligent control technology, and specifically to a shooting environment compensation method, system and device based on digital twins. Background Art

[0002] In a complete shooting process, the quality of the shooting environment directly affects the quality of the shooting results. Therefore, in order to improve the quality of the shooting results, it is a feasible technical path to first improve the quality of the shooting environment. In combination with the existing improvement of the quality of the shooting environment, a large number of sensors and lighting equipment are often used to physically improve the quality of the shooting environment, but this generates a large amount of equipment costs, limiting the application of this method to improve the quality of the shooting environment. In addition, the existing technology uses image processing technology to directly process the shooting results, thereby improving the quality of the shooting environment in disguise, but this technical path will lead to a certain degree of loss of the shooting environment.

[0003] Data twin technology is an innovative technology that combines physical entities with digital models. Adaptive research on it can map the physical entity of the shooting environment to the data space, thereby forming a twin shooting environment and providing a technical basis for shooting environment compensation.

[0004] Chinese patent number CN 118365571A discloses an image processing method, device, storage medium and electronic device, wherein the method comprises: obtaining an original image to be processed; obtaining an illumination image based on the original image, and obtaining a reflection image based on the original image and the illumination image; performing color correction processing on the illumination image to obtain a correction image, and performing image enhancement processing on the reflection image to obtain an enhancement image; fusing the correction image and the enhancement image to obtain a processed target image. However, in the actual application of the invention, during the multiple image changes, changes in the light intensity parameters and color temperature parameters of the shooting results are caused, which not only fails to achieve shooting environment compensation, but also leads to the loss of the shooting environment.

[0005] In summary, the existing technology urgently needs a new technical solution for shooting environment compensation based on digital twins. Summary of the invention

[0006] The purpose of this application is to provide a shooting environment compensation method, system and device based on digital twins to solve the technical problems raised in the above background technology.

[0007] To achieve the above objectives, this application discloses the following technical solutions:

[0008] In a first aspect, the present application discloses a shooting environment compensation method based on digital twins, the method comprising:

[0009] S1: Obtain shooting environment big data and a shooting environment twin model pre-built using digital twin technology; wherein the shooting environment twin model is used to analyze the shooting environment data, generate a twin shooting environment and output it, the shooting environment data at least includes light intensity parameters and color temperature parameters, and the shooting environment big data is obtained by aggregating multiple different types of shooting environment data;

[0010] S2: Acquire real-time shooting environment data and input it into the shooting environment twin model;

[0011] S3: the shooting environment twin model analyzes real-time shooting environment data;

[0012] S4: The shooting environment twin model generates and outputs a real-time twin shooting environment; wherein the real-time twin shooting environment is used for shooting environment compensation.

[0013] Preferably, the pre-construction process of the shooting environment twin model includes:

[0014] Determine a plurality of different types of standard shooting environments, and determine standard shooting environment data corresponding to the standard shooting environments, wherein the standard shooting environment data at least includes a standard light intensity parameter and a standard color temperature parameter;

[0015] The shooting environment twin model is trained using the shooting environment big data to execute steps A1 to A5:

[0016] A1: Obtain and use the standard shooting environment requirement to match the corresponding standard shooting environment, and obtain the standard light intensity parameter and the standard color temperature parameter corresponding to the environment requirement;

[0017] A2: Acquire the shooting environment data to obtain the light intensity parameter and the color temperature parameter;

[0018] A3: Using a preset parameter adjustment mechanism, the light intensity parameter and the color temperature parameter are adjusted based on the standard light intensity parameter and the standard color temperature parameter to obtain a twin light intensity parameter and a twin color temperature parameter; wherein the parameter adjustment mechanism is used to adjust the light intensity parameter and the color temperature parameter;

[0019] A4: Output the twin light intensity parameter and the twin color temperature parameter to obtain the twin shooting environment and output it;

[0020] A5: Save the shooting environment data corresponding to the twin shooting environment;

[0021] Output the trained shooting environment twin model.

[0022] Preferably, the process of acquiring the real-time shooting environment data includes:

[0023] Collect real-time light intensity parameters using a preset device for collecting light color parameters;

[0024] Collect real-time color temperature parameters using a preset device for collecting color temperature parameters;

[0025] The real-time shooting environment data is obtained by using the real-time light intensity data and the real-time color temperature data.

[0026] Preferably, the process of analyzing the real-time shooting environment data includes:

[0027] Running the shooting environment twin model;

[0028] Acquire and use the real-time standard shooting environment requirement to match the corresponding standard shooting environment, and obtain the standard light intensity parameter and the standard color temperature parameter corresponding to the environment requirement;

[0029] The real-time shooting environment data is acquired to obtain the real-time light intensity parameter and the real-time color temperature parameter.

[0030] Preferably, the process of generating and outputting a real-time twin shooting environment includes:

[0031] Using the parameter adjustment mechanism, adjusting the real-time light intensity parameter and the real-time color temperature parameter based on the standard light intensity parameter and the standard color temperature parameter to obtain a real-time twin light intensity parameter and a real-time twin color temperature parameter;

[0032] Output the real-time twin light intensity parameter and the real-time twin color temperature parameter to obtain a real-time twin shooting environment and output it;

[0033] The real-time shooting environment data corresponding to the real-time twin shooting environment is saved.

[0034] Preferably, the shooting environment data also includes geographic location information and a corresponding timestamp, geographic light intensity parameters and geographic color temperature parameters with a time series; the geographic light intensity parameters and geographic color temperature parameters are used to characterize the optimal light intensity parameters and optimal color temperature parameters of the geographic location information at the corresponding timestamp.

[0035] Preferably, when the geographic location information and the corresponding timestamp, the geographic light intensity parameter, and the geographic color temperature parameter exist, the pre-construction process of the shooting environment twin model further includes training the shooting environment twin model to perform steps B1 to B5:

[0036] B1: Acquire the geographic location information and the corresponding timestamp, and use the timestamp to match the geographic light intensity parameter and the geographic color temperature parameter with a time series to obtain the corresponding moment light intensity parameter and moment color temperature parameter;

[0037] B2: Acquire the shooting environment data corresponding to the timestamp to obtain the light intensity parameter and the color temperature parameter;

[0038] B3: Using a preset parameter adjustment mechanism, adjusting the light intensity parameter and the color temperature parameter based on the moment light intensity parameter and the moment color temperature parameter to obtain a moment twin light intensity parameter and a moment twin color temperature parameter; wherein the parameter adjustment mechanism is used to adjust the light intensity parameter and the color temperature parameter;

[0039] B4: Output the twin light intensity parameter at the moment and the twin color temperature parameter at the moment to obtain the twin shooting environment at the moment and output it;

[0040] B5: Save the shooting environment data corresponding to the twin shooting environment at that moment.

[0041] Preferably, when the geographic location information and the corresponding timestamp, the geographic light intensity parameter and the geographic color temperature parameter exist, the analyzing the real-time shooting environment data and the generating and outputting the real-time twin shooting environment further include:

[0042] Running the shooting environment twin model;

[0043] Acquire real-time geographic location information and a corresponding real-time timestamp, and use the real-time timestamp to match the geographic light intensity parameter and the geographic color temperature parameter with a time series to obtain the corresponding real-time light intensity parameter and real-time color temperature parameter;

[0044] Acquire geographic real-time shooting environment data corresponding to the real-time timestamp to obtain geographic real-time light intensity parameters and geographic real-time color temperature parameters;

[0045] By using the parameter adjustment mechanism, the geographic real-time light intensity parameter and the geographic real-time color temperature parameter are adjusted based on the real-time light intensity parameter and the real-time color temperature parameter to obtain the real-time twin light intensity parameter and the real-time twin color temperature parameter;

[0046] B4: Output the real-time twin light intensity parameter and the real-time twin color temperature parameter to obtain the real-time twin shooting environment and output it;

[0047] B5: Save the geographic real-time shooting environment data corresponding to the real-time twin shooting environment.

[0048] In a second aspect, the present application discloses a shooting environment compensation system based on digital twins, which is applicable to the shooting environment compensation method based on digital twins as described above, and the system includes:

[0049] A basic data acquisition module, wherein the basic data acquisition module is configured to acquire shooting environment big data and a shooting environment twin model pre-built using digital twin technology; wherein the shooting environment twin model is used to analyze the shooting environment data, generate a twin shooting environment and output it, wherein the shooting environment data at least includes light intensity parameters and color temperature parameters, and the shooting environment big data is obtained by aggregating a plurality of different types of shooting environment data;

[0050] A real-time data acquisition module, wherein the real-time data acquisition module is configured to acquire real-time shooting environment data and input the shooting environment twin model;

[0051] A data analysis module, wherein the data analysis module is configured to analyze real-time shooting environment data using the shooting environment twin model;

[0052] An environment generation module, wherein the environment generation module is configured to generate a real-time twin shooting environment for the shooting environment twin model and output it; wherein the real-time twin shooting environment is used for shooting environment compensation.

[0053] In the third aspect, the present application discloses an electronic device, comprising: at least one processor and at least one memory, the memory being communicatively connected to the processor; the memory storing a computer program that can be executed by the processor, and when the computer program is executed by the processor, the shooting environment compensation method based on digital twins as described in any one of claims 1-8 is implemented.

[0054] Beneficial effects: The shooting environment compensation method, system and device based on digital twin of the present application utilize the collected massive shooting data to realize the aggregation to obtain shooting environment big data, which provides a data basis for the pre-construction of the shooting environment twin model, and combines the digital twin technology to obtain the shooting environment twin model for analyzing the shooting environment data, generating a twin shooting environment and outputting it, thereby realizing low-cost shooting environment compensation without losing the shooting environment, thereby providing a high-quality shooting environment that can improve the quality of the shooting results. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0056] Figure 1 A flowchart of a shooting environment compensation method based on digital twins provided in an embodiment of the present application;

[0057] Figure 2A structural block diagram of a shooting environment compensation system based on digital twins provided in an embodiment of the present application. DETAILED DESCRIPTION

[0058] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0059] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0060] In a first aspect, this embodiment discloses Figure 1 A shooting environment compensation method based on digital twin is shown, and the method includes:

[0061] S1: Obtain shooting environment big data and a shooting environment twin model pre-built using digital twin technology; wherein the shooting environment twin model is used to analyze the shooting environment data, generate and output a twin shooting environment, the shooting environment data at least includes light intensity parameters and color temperature parameters, and multiple different types of shooting environment data are collected to obtain the shooting environment big data;

[0062] S2: Obtain real-time shooting environment data and input it into the shooting environment twin model;

[0063] S3: The shooting environment twin model analyzes real-time shooting environment data;

[0064] S4: The shooting environment twin model generates and outputs a real-time twin shooting environment; wherein the real-time twin shooting environment is used for shooting environment compensation.

[0065] It should be noted that this embodiment utilizes existing big data technology to realize the collection of shooting environment big data, and utilizes existing digital twin technology to realize the construction of a shooting environment twin model.

[0066] Based on the above, this embodiment utilizes the collected massive shooting data to realize the collection of shooting environment big data, which provides a data basis for the pre-construction of the shooting environment twin model, and combines the digital twin technology to obtain the shooting environment twin model for analyzing the shooting environment data, generating a twin shooting environment and outputting it, thereby realizing low-cost shooting environment compensation without losing the shooting environment, thereby providing a high-quality shooting environment that can improve the quality of the shooting results.

[0067] Specifically, the pre-construction process of the shooting environment twin model includes:

[0068] Determine a plurality of different types of standard shooting environments, and determine standard shooting environment data corresponding to the standard shooting environments, the standard shooting environment data at least including a standard light intensity parameter and a standard color temperature parameter;

[0069] Use the shooting environment big data to train the shooting environment twin model and execute steps A1 to A5:

[0070] A1: Obtain and use the standard shooting environment requirement to match the corresponding standard shooting environment, and obtain the standard light intensity parameter and the standard color temperature parameter corresponding to the environment requirement;

[0071] A2: Obtain shooting environment data and obtain light intensity parameters and color temperature parameters;

[0072] A3: Using a preset parameter adjustment mechanism, the light intensity parameter and the color temperature parameter are adjusted based on the standard light intensity parameter and the standard color temperature parameter to obtain a twin light intensity parameter and a twin color temperature parameter; wherein the parameter adjustment mechanism is used to adjust the light intensity parameter and the color temperature parameter;

[0073] A4: Output the twin light intensity parameters and the twin color temperature parameters to obtain the twin shooting environment and output it;

[0074] A5: Save the shooting environment data corresponding to the twin shooting environment;

[0075] Output the trained shooting environment twin model.

[0076] It should be noted that the standard shooting environment and the corresponding standard shooting environment data of this embodiment are obtained by refining based on actual shooting. For example, through multiple refinements of the internal studio, the standard light intensity parameters of the standard indoor studio are 1000 lux, and the standard color temperature parameters are 5500K; for another example, in a specific indoor scene, such as multiple refinements of the conference room, the standard light intensity parameters of the standard conference room are 500 lux, and the standard color temperature parameters are 3200K.

[0077] In a specific implementation, the parameter adjustment mechanism of this embodiment can be, but is not limited to, a light intensity adjustment curve and a color temperature adjustment curve obtained by fitting based on the shooting environment big data, and meet diverse shooting needs by adjusting the light intensity adjustment curve and the color temperature adjustment curve.

[0078] It can be understood that the shooting environment data corresponding to the twin shooting environment saved in this embodiment can be used to update the shooting environment big data, and can also be used to provide data reference when the user needs to optimize the shooting results.

[0079] In this embodiment, the criterion for completion of training can be an empirical value of the model accuracy based on the experience known to basic personnel in the field. For example, if the preset model accuracy is 90%, then when the accuracy of the shooting environment twin model outputting the twin shooting environment is greater than or equal to 90%, it indicates that the training is completed.

[0080] Based on the above, this embodiment, under the condition of determining the standard shooting environment, realizes the adjustment of light intensity parameters and color temperature parameters in combination with the parameter adjustment mechanism, and the adjustment is independently realized using the shooting environment twin model, thereby realizing the intelligent and standardized shooting environment compensation, and ensuring low-cost shooting environment compensation without losing the shooting environment.

[0081] Specifically, the process of acquiring real-time shooting environment data includes:

[0082] Collect real-time light intensity parameters using a preset device for collecting light color parameters;

[0083] Collect real-time color temperature parameters using a preset device for collecting color temperature parameters;

[0084] Real-time shooting environment data is obtained using real-time light intensity data and real-time color temperature data.

[0085] It should be noted that the device for collecting light color parameters and the device for collecting color temperature parameters used in this embodiment are both existing corresponding devices, such as photoresistors and color CCD / CMOS image sensors.

[0086] Based on the above, this embodiment provides a data basis for generating a twin shooting environment by correspondingly collecting real-time light intensity parameters and real-time color temperature parameters.

[0087] Specifically, the process of analyzing real-time shooting environment data includes:

[0088] Run the shooting environment twin model;

[0089] Acquire and use the real-time standard shooting environment requirements to match the corresponding standard shooting environment, and obtain the standard light intensity parameters and standard color temperature parameters corresponding to the environment requirements;

[0090] Acquire real-time shooting environment data and obtain real-time light intensity parameters and real-time color temperature parameters.

[0091] Based on the above, this embodiment realizes targeted shooting environment compensation by matching the corresponding standard shooting environment with the real-time standard shooting environment requirement, and provides accurate shooting environment compensation to meet the user's demand for improving the quality of shooting results.

[0092] Specifically, the process of generating and outputting a real-time twin shooting environment includes:

[0093] By using the parameter adjustment mechanism, the real-time light intensity parameter and the real-time color temperature parameter are adjusted based on the standard light intensity parameter and the standard color temperature parameter to obtain the real-time twin light intensity parameter and the real-time twin color temperature parameter;

[0094] Output the real-time twin light intensity parameters and real-time twin color temperature parameters to obtain the real-time twin shooting environment and output it;

[0095] Save the real-time shooting environment data corresponding to the real-time twin shooting environment.

[0096] Based on the above, this embodiment utilizes real-time twin light intensity parameters and real-time twin color temperature parameters to obtain a real-time twin shooting environment, which provides an accurate shooting environment to meet the user's needs to improve the quality of shooting results. It does not require the addition of redundant equipment and retains real-time shooting environment data, thereby achieving low-cost shooting environment compensation without losing the shooting environment.

[0097] In a large number of actual shootings, such as users checking in and shooting at popular scenic spots, the users' demand for the shooting environment will be affected by the time when the users arrive at the shooting environment. It is understandable that through the shooting environment big data and the existing statistical techniques, the optimal light intensity parameters and the optimal color temperature parameters for different geographical locations at different timestamps can be obtained. Therefore, this embodiment also collects geographical location information and the corresponding timestamps, geographical light intensity parameters and geographical color temperature parameters with time series.

[0098] Specifically, the shooting environment data also includes geographic location information and a corresponding timestamp, geographic light intensity parameters and geographic color temperature parameters with a time series; the geographic light intensity parameters and geographic color temperature parameters are used to characterize the optimal light intensity parameters and optimal color temperature parameters of the geographic location information at the corresponding timestamp.

[0099] It should be noted that the geographic location information and the corresponding timestamp, the geographic light intensity parameters and the geographic color temperature parameters with time series of this embodiment are all obtained by refining based on actual shooting. For example, at the geographic location of scenic area A, when the timestamp is 10 am, by analyzing and refining a large number of photos taken at this time point in scenic area A, the geographic light intensity parameter is about 8000 lux, and the geographic color temperature parameter is 5200K; for example, still at the geographic location of scenic area A, when the timestamp is 3 pm, by analyzing and refining a large number of photos taken at this time point in scenic area A, the geographic light intensity parameter is about 6500 lux, and the geographic color temperature parameter is 5000K; for another example, at the geographic location near scenic spot B, the timestamp is 6 pm, and the geographic light intensity parameter is about 1000 lux, and the geographic color temperature parameter is 3500K extracted from a large number of actual shots taken here during this period.

[0100] Based on the above, this embodiment provides a data basis for realizing intelligent and standardized shooting environment compensation by determining geographic light intensity parameters and geographic color temperature parameters, and can effectively improve the user experience and satisfaction.

[0101] Specifically, when there is geographic location information and corresponding timestamp, geographic light intensity parameter, and geographic color temperature parameter, the pre-construction process of the shooting environment twin model further includes training the shooting environment twin model to execute steps B1 to B5:

[0102] B1: Obtain geographic location information and a corresponding timestamp, and use the timestamp to match geographic light intensity parameters and geographic color temperature parameters with a time series to obtain corresponding moment light intensity parameters and moment color temperature parameters;

[0103] B2: Obtain the shooting environment data corresponding to the timestamp, and obtain the light intensity parameters and color temperature parameters;

[0104] B3: Using a preset parameter adjustment mechanism, the light intensity parameter and the color temperature parameter are adjusted based on the moment light intensity parameter and the moment color temperature parameter to obtain the moment twin light intensity parameter and the moment twin color temperature parameter; wherein the parameter adjustment mechanism is used to adjust the light intensity parameter and the color temperature parameter;

[0105] B4: Output the twin light intensity parameters and the twin color temperature parameters at the moment to obtain the twin shooting environment at the moment and output it;

[0106] B5: Save the shooting environment data corresponding to the moment twin shooting environment.

[0107] It should be noted that the parameter adjustment mechanism and pre-construction process of this embodiment correspond to the parameter adjustment mechanism and pre-construction process mentioned above, and only the standard light intensity parameters and the standard color temperature parameters are updated to the moment light intensity parameters and the moment color temperature parameters. Therefore, the parts of the parameter adjustment mechanism and the pre-construction process of this embodiment that are not specifically described can refer to the specific records of the parameter adjustment mechanism and the pre-construction process mentioned above, and this text will not go into details here.

[0108] Specifically, when there is geographic location information and a corresponding timestamp, geographic light intensity parameters, and geographic color temperature parameters, analyzing the real-time shooting environment data and generating a real-time twin shooting environment and outputting it also includes:

[0109] Run the shooting environment twin model;

[0110] Acquire real-time geographic location information and a corresponding real-time timestamp, and use the real-time timestamp to match the geographic light intensity parameter and the geographic color temperature parameter with a time series to obtain the corresponding real-time light intensity parameter and the real-time color temperature parameter;

[0111] Acquire geographic real-time shooting environment data corresponding to the real-time timestamp, and obtain geographic real-time light intensity parameters and geographic real-time color temperature parameters;

[0112] By using the parameter adjustment mechanism, the geographic real-time light intensity parameter and the geographic real-time color temperature parameter are adjusted based on the real-time light intensity parameter and the real-time color temperature parameter to obtain the real-time twin light intensity parameter and the real-time twin color temperature parameter;

[0113] B4: Output the real-time twin light intensity parameters and the real-time twin color temperature parameters to obtain the real-time twin shooting environment and output it;

[0114] B5: Save the geographic real-time shooting environment data corresponding to the real-time twin shooting environment.

[0115] It should be noted that this embodiment realizes shooting environment compensation based on geographic location information and corresponding timestamps by generating a real-time twin shooting environment, thereby further improving the intelligence and standardization of shooting environment compensation, and ensuring low-cost shooting environment compensation without losing the shooting environment.

[0116] In a second aspect, this embodiment discloses Figure 2 A shooting environment compensation system based on digital twins is shown, and the system is applicable to the shooting environment compensation method based on digital twins as described above, and the system includes:

[0117] A basic data acquisition module, the basic data acquisition module is configured to acquire shooting environment big data and a shooting environment twin model pre-built using digital twin technology; wherein the shooting environment twin model is used to analyze the shooting environment data, generate a twin shooting environment and output it, the shooting environment data at least includes light intensity parameters and color temperature parameters, and multiple different types of shooting environment data are collected to obtain the shooting environment big data;

[0118] A real-time data acquisition module, the real-time data acquisition module is configured to acquire real-time shooting environment data and input it into the shooting environment twin model;

[0119] A data analysis module, wherein the data analysis module is configured to analyze real-time shooting environment data using a shooting environment twin model;

[0120] An environment generation module, the environment generation module is configured to generate a real-time twin shooting environment based on a shooting environment twin model and output it; wherein the real-time twin shooting environment is used for shooting environment compensation.

[0121] It should be noted that the shooting environment compensation system based on digital twins of this embodiment corresponds to the aforementioned shooting environment compensation method based on digital twins. Therefore, the parts that are not specifically described in the shooting environment compensation system based on digital twins, including but not limited to technical effects, specific technical means, etc., can refer to the specific records in the aforementioned shooting environment compensation method based on digital twins, and this text will not go into details here.

[0122] In a third aspect, this embodiment discloses an electronic device, including: at least one processor and at least one memory, the memory being communicatively connected to the processor; the memory storing a computer program that can be executed by the processor, and when the computer program is executed by the processor, the shooting environment compensation method based on digital twins as described above is implemented.

[0123] Similarly, it should be noted that the electronic device of this embodiment corresponds to the aforementioned shooting environment compensation method based on digital twins. Therefore, the parts that are not specifically described in the electronic device, including but not limited to technical effects, specific technical means, etc., can refer to the specific records in the aforementioned shooting environment compensation method based on digital twins, and this text will not go into details here.

[0124] In summary, the shooting environment compensation method, system and device based on digital twin in this embodiment utilize the collected massive shooting data to realize the aggregation to obtain shooting environment big data, which provides a data basis for the pre-construction of the shooting environment twin model, and combines the digital twin technology to obtain the shooting environment twin model for analyzing the shooting environment data, generating a twin shooting environment and outputting it, thereby realizing low-cost shooting environment compensation without losing the shooting environment, thereby providing a high-quality shooting environment that can improve the quality of the shooting results.

[0125] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0126] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A shooting environment compensation method based on digital twins, characterized in that: The method includes: S1: Obtain shooting environment big data and a shooting environment twin model pre-built using digital twin technology; wherein the shooting environment twin model is used to analyze the shooting environment data, generate a twin shooting environment and output it, the shooting environment data at least includes light intensity parameters and color temperature parameters, and the shooting environment big data is obtained by aggregating multiple different types of shooting environment data; S2: Acquire real-time shooting environment data and input it into the shooting environment twin model; S3: the shooting environment twin model analyzes real-time shooting environment data; S4: The shooting environment twin model generates and outputs a real-time twin shooting environment; wherein the real-time twin shooting environment is used for shooting environment compensation.

2. The shooting environment compensation method based on digital twin according to claim 1, characterized in that: The pre-construction process of the shooting environment twin model includes: Determine a plurality of different types of standard shooting environments, and determine standard shooting environment data corresponding to the standard shooting environments, wherein the standard shooting environment data at least includes a standard light intensity parameter and a standard color temperature parameter; The shooting environment twin model is trained using the shooting environment big data to execute steps A1 to A5: A1: Obtain and use the standard shooting environment requirement to match the corresponding standard shooting environment, and obtain the standard light intensity parameter and the standard color temperature parameter corresponding to the environment requirement; A2: Acquire the shooting environment data to obtain the light intensity parameter and the color temperature parameter; A3: Using a preset parameter adjustment mechanism, the light intensity parameter and the color temperature parameter are adjusted based on the standard light intensity parameter and the standard color temperature parameter to obtain a twin light intensity parameter and a twin color temperature parameter; wherein the parameter adjustment mechanism is used to adjust the light intensity parameter and the color temperature parameter; A4: Output the twin light intensity parameter and the twin color temperature parameter to obtain the twin shooting environment and output it; A5: Save the shooting environment data corresponding to the twin shooting environment; Output the trained shooting environment twin model.

3. The shooting environment compensation method based on digital twin according to claim 2 is characterized in that: The process of acquiring the real-time shooting environment data includes: Collect real-time light intensity parameters using a preset device for collecting light color parameters; Collect real-time color temperature parameters using a preset device for collecting color temperature parameters; The real-time shooting environment data is obtained by using the real-time light intensity data and the real-time color temperature data.

4. The shooting environment compensation method based on digital twin according to claim 3 is characterized in that: The process of analyzing the real-time captured environmental data includes: Running the shooting environment twin model; Acquire and use the real-time standard shooting environment requirement to match the corresponding standard shooting environment, and obtain the standard light intensity parameter and the standard color temperature parameter corresponding to the environment requirement; The real-time shooting environment data is acquired to obtain the real-time light intensity parameter and the real-time color temperature parameter.

5. The shooting environment compensation method based on digital twin according to claim 4 is characterized in that: The process of generating and outputting a real-time twin shooting environment includes: Using the parameter adjustment mechanism, adjusting the real-time light intensity parameter and the real-time color temperature parameter based on the standard light intensity parameter and the standard color temperature parameter to obtain a real-time twin light intensity parameter and a real-time twin color temperature parameter; Output the real-time twin light intensity parameter and the real-time twin color temperature parameter to obtain a real-time twin shooting environment and output it; The real-time shooting environment data corresponding to the real-time twin shooting environment is saved.

6. The shooting environment compensation method based on digital twin according to claim 2, characterized in that: The shooting environment data also includes geographic location information and a corresponding timestamp, geographic light intensity parameters and geographic color temperature parameters with a time series; the geographic light intensity parameters and geographic color temperature parameters are used to characterize the optimal light intensity parameters and optimal color temperature parameters of the geographic location information at the corresponding timestamp.

7. The shooting environment compensation method based on digital twin according to claim 6 is characterized in that: When the geographic location information and the corresponding timestamp, the geographic light intensity parameter, and the geographic color temperature parameter exist, the pre-construction process of the shooting environment twin model further includes training the shooting environment twin model to execute steps B1 to B5: B1: Acquire the geographic location information and the corresponding timestamp, and use the timestamp to match the geographic light intensity parameter and the geographic color temperature parameter with a time series to obtain the corresponding moment light intensity parameter and moment color temperature parameter; B2: Acquire the shooting environment data corresponding to the timestamp to obtain the light intensity parameter and the color temperature parameter; B3: Using a preset parameter adjustment mechanism, adjusting the light intensity parameter and the color temperature parameter based on the moment light intensity parameter and the moment color temperature parameter to obtain a moment twin light intensity parameter and a moment twin color temperature parameter; wherein the parameter adjustment mechanism is used to adjust the light intensity parameter and the color temperature parameter; B4: Output the twin light intensity parameter at the moment and the twin color temperature parameter at the moment to obtain the twin shooting environment at the moment and output it; B5: Save the shooting environment data corresponding to the twin shooting environment at that moment.

8. The shooting environment compensation method based on digital twin according to claim 7 is characterized in that: When the geographic location information and the corresponding timestamp, the geographic light intensity parameter, and the geographic color temperature parameter exist, the analyzing the real-time shooting environment data and the generating and outputting the real-time twin shooting environment further include: Running the shooting environment twin model; Acquire real-time geographic location information and a corresponding real-time timestamp, and use the real-time timestamp to match the geographic light intensity parameter and the geographic color temperature parameter with a time series to obtain the corresponding real-time light intensity parameter and real-time color temperature parameter; Acquire geographic real-time shooting environment data corresponding to the real-time timestamp to obtain geographic real-time light intensity parameters and geographic real-time color temperature parameters; By using the parameter adjustment mechanism, the geographic real-time light intensity parameter and the geographic real-time color temperature parameter are adjusted based on the real-time light intensity parameter and the real-time color temperature parameter to obtain the real-time twin light intensity parameter and the real-time twin color temperature parameter; B4: Output the real-time twin light intensity parameter and the real-time twin color temperature parameter to obtain the real-time twin shooting environment and output it; B5: Save the geographic real-time shooting environment data corresponding to the real-time twin shooting environment.

9. A shooting environment compensation system based on digital twins, the system being applicable to the shooting environment compensation method based on digital twins as described in any one of claims 1 to 8, characterized in that: The system includes: A basic data acquisition module, wherein the basic data acquisition module is configured to acquire shooting environment big data and a shooting environment twin model pre-built using digital twin technology; wherein the shooting environment twin model is used to analyze the shooting environment data, generate a twin shooting environment and output it, wherein the shooting environment data at least includes light intensity parameters and color temperature parameters, and the shooting environment big data is obtained by aggregating a plurality of different types of shooting environment data; A real-time data acquisition module, wherein the real-time data acquisition module is configured to acquire real-time shooting environment data and input the shooting environment twin model; A data analysis module, wherein the data analysis module is configured to analyze real-time shooting environment data using the shooting environment twin model; An environment generation module, wherein the environment generation module is configured to generate a real-time twin shooting environment for the shooting environment twin model and output it; wherein the real-time twin shooting environment is used for shooting environment compensation.

10. An electronic device, characterized in that: include: At least one processor and at least one memory, the memory being communicatively connected to the processor; the memory storing a computer program that can be executed by the processor, and when the computer program is executed by the processor, the shooting environment compensation method based on digital twins as described in any one of claims 1-8 is implemented.

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