Energy-saving control method and system for lighting lamps in building area

Abstract

The invention provides an energy-saving control method and system for lighting lamps in a building area. The method comprises the following steps: shooting first video image data in a building area, and extracting construction associated features from the first video image data; utilizing the construction end state analysis model to predict and analyze the construction personnel characteristics, the construction equipment characteristics and the constructed area characteristics to obtain a first construction end probability obtained through prediction; when the first construction ending probability is higher than the specified probability, energy-saving control measures are applied to the lighting lamps in the building area, and the energy-saving control measures include turning off the lighting lamps or turning down the brightness of the lighting lamps. Whether the construction behavior in the building area is finished or not can be automatically judged through the image analysis technology and the deep analysis technology, energy-saving control over the illumination lamp can be automatically executed when it is judged that the construction behavior is finished, and management personnel do not need to manually control the illumination lamp.

Description

Technical Field

[0001] The present invention relates to the technical field of construction energy saving, and in particular to an energy saving control method and system for lighting fixtures in a building area. Background Art

[0002] A large number of lighting fixtures will be installed in the building area to meet the construction needs at night or in poor lighting conditions. Green construction and energy-saving construction are currently the commonly pursued technical goals, so it is very necessary to carry out energy-saving control of lighting fixtures in the building area.

[0003] The existing energy-saving control method of lighting fixtures mainly relies on manual shutdown, that is, after the construction project of the day is completed in the building area, the management personnel manually shut down the lighting fixtures in the building area. However, this traditional manual shutdown method requires a lot of manpower on the one hand, and on the other hand, since the actual completion time of construction in each building area is not fully known, the management personnel can only shut down the lighting fixtures later, resulting in the lighting fixtures still lighting up for a long time after the construction is completed, and the energy-saving effect is not good.

[0004] How to further improve the energy-saving effect of lighting fixtures in building areas is a technical problem that needs to be solved at present. Summary of the invention

[0005] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides an energy-saving control method, system, electronic equipment, computer storage medium and computer program product for lighting fixtures in a building area.

[0006] The present invention provides an energy-saving control method for lighting fixtures in a building area, the method comprising the following steps: Shooting first video image data in the construction area, and extracting construction-related features from the first video image data; wherein the construction-related features include construction personnel features, construction equipment features, and construction area features; Using the construction completion state analysis model, predicting and analyzing the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics, to obtain a predicted first construction completion probability; If the first construction completion probability is higher than a specified probability, energy-saving control measures are implemented for the lighting fixtures in the building area, and the energy-saving control measures include turning off the lighting fixtures or lowering the brightness of the lighting fixtures.

[0007] Optionally, the capturing of first video image data in the building area includes: The current time is obtained, and the construction period is obtained according to the current time, and a table is consulted to obtain a first shooting duration corresponding to the construction period; wherein the construction period includes a noon period and an afternoon off-duty period; The first video image data within the building area is obtained by shooting according to the first shooting duration.

[0008] Optionally, obtaining the construction period according to the current moment, and obtaining the first shooting duration corresponding to the construction period by looking up a table includes: Divide the noon period and the afternoon off-duty period into a plurality of sub-periods, determine the sign-out percentage corresponding to each sub-period, and determine the second shooting duration corresponding to each sub-period according to the sign-out percentage and the first shooting duration; The sign-out percentage corresponding to each sub-period is determined in the following way: The clock-in / out data of construction workers in the construction area and other construction areas of the same construction type as the construction area are obtained, and statistical analysis is performed on the clock-in / out data to obtain the clock-in / out percentage of each sub-period.

[0009] Optionally, the use of the construction completion state analysis model to predict and analyze the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics to obtain the predicted first construction completion probability includes: Inputting the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics into the construction completion state analysis model to obtain a third construction completion probability predicted by the construction completion state analysis model; Input the construction personnel characteristics into the first prediction sub-model to obtain the fourth construction completion probability; input the construction equipment characteristics into the second prediction sub-model to obtain the fifth construction completion probability; input the constructed area characteristics into the third prediction sub-model to obtain the sixth construction completion probability; Calculating the probability variance of the fourth construction completion probability, the fifth construction completion probability, and the sixth construction completion probability, and determining a correction coefficient according to the probability variance; The correction coefficient is multiplied by the third construction completion probability to obtain the first construction completion probability.

[0010] Optionally, the construction completion status analysis model is trained based on the BERT large model or the GPT large model, and the first prediction sub-model, the second prediction sub-model, and the third prediction sub-model are constructed based on a graph convolutional neural network or a Transformer.

[0011] Optionally, the implementing energy-saving control measures on lighting fixtures in the building area includes: Shoot second video image data within the building area. If it is determined based on the second video image data that there are no construction workers, implement energy-saving control measures for lighting fixtures in the building area; wherein the third shooting duration of the second video image data is determined based on the probability of the first construction being completed.

[0012] The present invention also provides an energy-saving control system for building area lighting fixtures, the system comprising a processor and a memory, the processor calling and executing a computer program in the memory to implement the following steps: Shooting first video image data in the construction area, and extracting construction-related features from the first video image data; wherein the construction-related features include construction personnel features, construction equipment features, and construction area features; Using the construction completion state analysis model, predicting and analyzing the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics, to obtain a predicted first construction completion probability; If the first construction completion probability is higher than a specified probability, energy-saving control measures are implemented for the lighting fixtures in the building area, and the energy-saving control measures include turning off the lighting fixtures or lowering the brightness of the lighting fixtures.

[0013] The present invention also provides an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the method as described in any of the preceding items.

[0014] The present invention also provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, any of the above methods is executed.

[0015] The present invention also provides a computer program product, comprising a computer program stored on a non-transitory computer-readable medium, wherein the computer program is executed by a processor to execute the method as described in any of the preceding items.

[0016] The beneficial effects of the present invention are as follows: the scheme of the present invention can automatically determine whether the construction activities in the building area have been completed through image analysis technology and depth analysis technology, and can automatically perform energy-saving control of lighting fixtures when it is determined that the construction activities have been completed, thereby eliminating the need for management personnel to manually control the lighting fixtures. On the premise of improving the energy-saving effect, it can also further improve the efficiency of energy-saving control and reduce the implementation cost of energy-saving control. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 It is a flow chart of an energy-saving control method for lighting fixtures in a building area disclosed in an embodiment of the present invention.

[0019] Figure 2 It is a structural schematic diagram of an energy-saving control system for building area lighting fixtures disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0023] In the description of the present invention, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. appear to indicate an orientation or position relationship, they are based on the orientation or position relationship shown in the accompanying drawings, or are the orientation or position relationship in which the product of the invention is usually placed when used. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0024] It should be noted that, in the absence of conflict, the features in the embodiments of the present invention may be combined with each other.

[0025] The existing energy-saving control method for lighting fixtures mainly relies on manual shutdown, that is, after the construction project of the day is completed in the building area, the management personnel manually shut down the lighting fixtures in the building area. However, this traditional manual shutdown method requires a lot of manpower on the one hand, and on the other hand, since the actual completion time of construction in each building area is not fully known, the management personnel can only shut down the lighting fixtures later, resulting in the lighting fixtures still being illuminated for a long time after the construction is completed, and the energy-saving effect is not good. How to further improve the energy-saving effect of lighting fixtures in building areas is a technical problem that needs to be solved at present.

[0026] In response to the above technical issues, such as Figure 1 As shown, an embodiment of the present invention discloses an energy-saving control method for lighting fixtures in a building area, and the method comprises the following steps: Shooting first video image data in the construction area, and extracting construction-related features from the first video image data; wherein the construction-related features include construction personnel features, construction equipment features, and construction area features; Using the construction completion state analysis model, predicting and analyzing the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics, to obtain a predicted first construction completion probability; If the first construction completion probability is higher than a specified probability, energy-saving control measures are implemented for the lighting fixtures in the building area, and the energy-saving control measures include turning off the lighting fixtures or lowering the brightness of the lighting fixtures.

[0027] Compared with the traditional method of manually turning off lighting fixtures, the present invention sets a camera in the building area, and the camera captures a group of first video image data in the building area, and then extracts construction-related features from the group of first video image data, including construction personnel features, construction equipment features, and construction area features. Then, the pre-built construction end state analysis model is used to comprehensively analyze the above-mentioned construction-related features to obtain a first construction end probability for judging whether the construction behavior in the building area has ended. Finally, the construction end probability is compared with the specified probability. If the construction end probability is higher than the specified probability, it means that the construction behavior in the building area has ended, and no construction workers will enter the building area in the following period of time (for example, until the morning shift). At this time, it is necessary to implement energy-saving control measures for the lighting fixtures in the building area, such as turning off the lighting fixtures or lowering the brightness of the lighting fixtures.

[0028] Therefore, the solution of the present invention can automatically determine whether the construction activities in the building area have been completed through image analysis technology and depth analysis technology, and can automatically perform energy-saving control of lighting fixtures when it is determined that the construction activities have been completed, thereby eliminating the need for management personnel to manually control the lighting fixtures. On the premise of improving energy-saving effects, it can also further improve the efficiency of energy-saving control and reduce the implementation cost of energy-saving control.

[0029] Optionally, the capturing of first video image data in the building area includes: The current time is obtained, and the construction period is obtained according to the current time, and a table is consulted to obtain a first shooting duration corresponding to the construction period; wherein the construction period includes a noon period and an afternoon off-duty period; The first video image data within the building area is obtained by shooting according to the first shooting duration.

[0030] In an embodiment of the present invention, the camera deployed in the building area of ​​the present invention may not be in working state all the time, but may be awakened or awakened periodically, and after awakening, a first video image data of the building area is captured, and the first video image data is used to analyze the first construction completion probability of the building area. At the same time, the degree of obviousness of the construction-related features corresponding to different construction periods is different. For example, when it is about to reach the noon period, the construction workers will implement the work-ending behavior (such as cleaning themselves and leaving the building area), the construction equipment features have the shutdown feature, and the construction area features have the feature of being slightly protected (such as using a simple warning tape for isolation and protection); and when it is about to reach the afternoon off-duty period, the construction workers will implement the work-ending behavior (such as cleaning themselves and leaving the building area), the construction equipment features have the shutdown feature and the features of being cleaned, sorted, and placed in a standardized manner, and the construction area features have the feature of being moderately or strongly protected (such as using fences, warning signs / lights for isolation and protection), etc. Obviously, the number of construction-related features in the afternoon off-get off work period is greater than that in the noon period, and these features last for a longer time span, so first video image data with a longer shooting time is required to ensure the integrity and accuracy of the extracted construction-related features.

[0031] In response to the above technical problem, the present invention sets the first shooting duration corresponding to the noon period during the construction period to be shorter than the first shooting duration corresponding to the afternoon off-get off work period, thereby controlling the camera to shoot a set of first video image data in the building area according to the first shooting duration determined above.

[0032] Optionally, obtaining the construction period according to the current moment, and obtaining the first shooting duration corresponding to the construction period by looking up a table includes: Divide the noon period and the afternoon off-duty period into a plurality of sub-periods, determine the sign-out percentage corresponding to each sub-period, and determine the second shooting duration corresponding to each sub-period according to the sign-out percentage and the first shooting duration; The sign-out percentage corresponding to each sub-period is determined in the following way: The clock-in / out data of construction workers in the construction area and other construction areas of the same construction type as the construction area are obtained, and statistical analysis is performed on the clock-in / out data to obtain the clock-in / out percentage of each sub-period.

[0033] In the embodiment of the present invention, the noon period and the afternoon off-duty period both include multiple sub-periods, 11:00-11:15, 11:15-11:30, 11:30-12:00, 17:30-17:45, 17:45-18:00, and 18:00-18:30. The number of people signing out of get off work in different periods is different. For example, the number of people signing out of work in the noon period and the afternoon off-duty period both conforms to the normal distribution. For example, the number of people signing out of work in 11:00-11:15 and 11:30-12:00 is relatively small (for example, 20%), while the number of people signing out of work in 11:15-11:30 is the largest (for example, 60%), the number of people signing out of work in 17:30-17:45 and 18:00-18:30 is relatively small, while the number of people signing out of work in 17:45-18:00 is the largest. At the same time, the number of people signing out will lead to different numbers of features of corresponding construction-related features and the time span of these features. That is, the more people signing out, the more features of construction-related features there are (more construction workers are completing the work, more construction equipment is being shut down and cleaned, sorted, and placed in a standardized manner, more areas are being isolated and protected by fences, warning signs / lights), and the longer the time span of these features. Conversely, the fewer features of construction-related features there are and the shorter the time span of these features.

[0034] In view of the above characteristics, the present invention divides the noon period and the afternoon off-duty period into multiple sub-periods, determines the sign-out percentage corresponding to each sub-period, and determines the second shooting duration corresponding to each sub-period according to the sign-out percentage and the first shooting duration, so that different second shooting durations are achieved in each sub-period of the construction period. For example, if the first shooting duration of the noon period is 3 minutes, then according to the actual normal distribution function, the second shooting durations of 11:00-11:15 and 11:30-12:00 can be set to 1 minute, and the second shooting duration of 11:15-11:30 can be set to 3 minutes.

[0035] Among them, the sign-in and sign-out percentage corresponding to each sub-time period is obtained through statistical analysis. Specifically: the sign-in and sign-out data of all construction workers in the building area and other building areas of the same construction type as the building area are obtained, and all the sign-in and sign-out data are statistically analyzed to obtain the sign-in and sign-out ratio of each sub-time period.

[0036] Optionally, the use of the construction completion state analysis model to predict and analyze the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics to obtain the predicted first construction completion probability includes: Inputting the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics into the construction completion state analysis model to obtain a third construction completion probability predicted by the construction completion state analysis model; Input the construction personnel characteristics into the first prediction sub-model to obtain the fourth construction completion probability; input the construction equipment characteristics into the second prediction sub-model to obtain the fifth construction completion probability; input the constructed area characteristics into the third prediction sub-model to obtain the sixth construction completion probability; Calculating the probability variance of the fourth construction completion probability, the fifth construction completion probability, and the sixth construction completion probability, and determining a correction coefficient according to the probability variance; The correction coefficient is multiplied by the third construction completion probability to obtain the first construction completion probability.

[0037] In the embodiment of the present invention, the prediction of the first construction completion probability is divided into two parts, that is, firstly, the construction completion state analysis model is used to analyze the construction personnel characteristics, construction equipment characteristics, and construction area characteristics as a whole, and the third construction completion probability is obtained based on the comprehensive analysis. Then, the construction personnel characteristics, construction equipment characteristics, and construction area characteristics are analyzed separately by the first prediction sub-model, the second prediction sub-model, and the third prediction sub-model, respectively, and the fourth construction completion probability, the fifth construction completion probability, and the sixth construction completion probability are obtained accordingly. Finally, the probability variance of these three construction completion probabilities is calculated, and the probability variance reflects the fluctuation range of the determination of the construction completion behavior in the building area. Obviously, when the probability variance is larger, the credibility of the third construction completion probability obtained above is lower, and vice versa. According to the probability variance and the corresponding negative correlation, a correction coefficient of corresponding size can be determined, and the correction coefficient can be used to appropriately correct the third construction completion probability obtained by the above prediction. Obviously, the correction coefficient in the present invention should be a value less than 1, which is used to appropriately reduce the third construction completion probability predicted by the construction completion status analysis model to avoid misjudgment of construction completion behavior and reduce the construction inconvenience caused by erroneous energy-saving control of lighting fixtures.

[0038] Optionally, the construction completion status analysis model is trained based on the BERT large model or the GPT large model, and the first prediction sub-model, the second prediction sub-model, and the third prediction sub-model are constructed based on a graph convolutional neural network or a Transformer.

[0039] In an embodiment of the present invention, the construction end status analysis model needs to conduct a comprehensive analysis of the construction personnel characteristics, construction equipment characteristics, and construction area characteristics. The relationship between the construction personnel's work-ending behavior, the construction equipment's tidying behavior, the construction area's isolated protection behavior, and the construction end status is complex and changeable, which makes it difficult to meet the amount of training data. The vertical model built by traditional methods is difficult to be fully trained, and the accuracy of the predicted third construction end probability cannot be guaranteed. In this regard, the present invention chooses to use the BERT large model or the GPT large model to train the construction end status analysis model. The training only requires small and medium sample level training data, and the difficulty of collecting training data is much lower.

[0040] The first prediction sub-model, the second prediction sub-model, and the third prediction sub-model only need to analyze the features of a single dimension to determine the corresponding probability of completion of construction. The model building is relatively easy, and it is easy to collect sufficient training data. Therefore, these three prediction sub-models adopt the method of building conventional vertical models, preferably using graph convolutional neural networks or Transformers.

[0041] Optionally, the implementing energy-saving control measures on lighting fixtures in the building area includes: Shoot second video image data within the building area. If it is determined based on the second video image data that there are no construction workers, implement energy-saving control measures for lighting fixtures in the building area; wherein the third shooting duration of the second video image data is determined based on the probability of the first construction being completed.

[0042] In the embodiment of the present invention, when it is determined that the first construction completion probability is higher than the specified threshold, it indicates that the construction area has been judged to have entered the construction completion state with a high probability. However, in order to ensure that the construction has indeed entered the construction completion state, it is necessary to continue to wait for a certain period of time, and continue to shoot the second video image data in the building area during the waiting period (i.e., the third shooting period). If it is determined that there are no construction personnel based on the second video image data, it can be confirmed that the construction area has indeed entered the construction completion state, and energy-saving control measures can be implemented for the lighting fixtures in the building area.

[0043] In addition, after implementing energy-saving control measures, the lighting fixtures in the building area can be turned on manually, or automatically when the construction time (such as the early shift) is reached. In addition, the building area involved in the present invention includes indoor building areas, tunnel building areas and other areas that require long-term lighting, and also includes areas such as campuses, squares, and exterior walls that only need to be illuminated at night or during periods of poor light. Correspondingly, the number of construction periods involved in the above and the specific division method are also different, and the details will not be repeated.

[0044] like Figure 2 As shown, an embodiment of the present invention further discloses an energy-saving control system for lighting fixtures in a building area, the system comprising a processor and a memory, the processor calls and executes a computer program in the memory to implement the following steps: Shooting first video image data in the construction area, and extracting construction-related features from the first video image data; wherein the construction-related features include construction personnel features, construction equipment features, and construction area features; Using the construction completion state analysis model, predicting and analyzing the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics, to obtain a predicted first construction completion probability; If the first construction completion probability is higher than a specified probability, energy-saving control measures are implemented for the lighting fixtures in the building area, and the energy-saving control measures include turning off the lighting fixtures or lowering the brightness of the lighting fixtures.

[0045] An embodiment of the present invention further discloses an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the method described in the above embodiment.

[0046] The embodiment of the present invention further discloses a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method described in the above embodiment is executed.

[0047] An embodiment of the present invention further discloses a computer program product, including a computer program stored on a non-transitory computer-readable medium, wherein the computer program is executed by a processor to perform any of the methods described in the preceding items.

[0048] It should be noted that the storage module (102) in the second embodiment of the present invention, the memory in the third embodiment, and the computer storage medium in the fourth embodiment can all be, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc-read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, etc.

[0049] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0050] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0051] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0052] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for energy-saving control of lighting fixtures in a building area, characterized in that: The method comprises the following steps: Shooting first video image data in the construction area, and extracting construction-related features from the first video image data; wherein the construction-related features include construction personnel features, construction equipment features, and construction area features; Using the construction completion state analysis model, predicting and analyzing the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics, to obtain a predicted first construction completion probability; If the first construction completion probability is higher than a specified probability, energy-saving control measures are implemented for the lighting fixtures in the building area, and the energy-saving control measures include turning off the lighting fixtures or lowering the brightness of the lighting fixtures.

2. The energy-saving control method for building area lighting fixtures according to claim 1, characterized in that: The first video image data captured in the building area includes: The current time is obtained, and the construction period is obtained according to the current time, and a table is consulted to obtain a first shooting duration corresponding to the construction period; wherein the construction period includes a noon period and an afternoon off-duty period; The first video image data within the building area is obtained by shooting according to the first shooting duration.

3. The energy-saving control method for building area lighting fixtures according to claim 2, characterized in that: The matching according to the current time to obtain the construction period, and looking up a table to obtain the first shooting duration corresponding to the construction period, includes: Divide the noon period and the afternoon off-duty period into a plurality of sub-periods, determine the sign-out percentage corresponding to each sub-period, and determine the second shooting duration corresponding to each sub-period according to the sign-out percentage and the first shooting duration; The sign-out percentage corresponding to each sub-period is determined in the following way: The clock-in / out data of construction workers in the construction area and other construction areas of the same construction type as the construction area are obtained, and statistical analysis is performed on the clock-in / out data to obtain the clock-in / out percentage of each sub-period.

4. The energy-saving control method for building area lighting fixtures according to claim 3 is characterized in that: The construction completion state analysis model is used to predict and analyze the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics to obtain a predicted first construction completion probability, including: Inputting the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics into the construction completion state analysis model to obtain a third construction completion probability predicted by the construction completion state analysis model; Input the construction personnel characteristics into the first prediction sub-model to obtain the fourth construction completion probability; input the construction equipment characteristics into the second prediction sub-model to obtain the fifth construction completion probability; input the constructed area characteristics into the third prediction sub-model to obtain the sixth construction completion probability; Calculating the probability variance of the fourth construction completion probability, the fifth construction completion probability, and the sixth construction completion probability, and determining a correction coefficient according to the probability variance; The correction coefficient is multiplied by the third construction completion probability to obtain the first construction completion probability.

5. The energy-saving control method for building area lighting fixtures according to claim 4, characterized in that: The construction completion status analysis model is trained based on the BERT large model or the GPT large model, and the first prediction sub-model, the second prediction sub-model, and the third prediction sub-model are constructed based on a graph convolutional neural network or a Transformer.

6. The energy-saving control method for building area lighting fixtures according to claim 1, characterized in that: The energy-saving control measures for lighting fixtures in the building area include: Shoot second video image data within the building area. If it is determined based on the second video image data that there are no construction workers, implement energy-saving control measures for lighting fixtures in the building area; wherein the third shooting duration of the second video image data is determined based on the probability of the first construction being completed.

7. An energy-saving control system for lighting fixtures in a building area, the system comprising a processor and a memory, characterized in that: The processor calls and executes the computer program in the memory to implement the following steps: Shooting first video image data in the construction area, and extracting construction-related features from the first video image data; wherein the construction-related features include construction personnel features, construction equipment features, and construction area features; Using the construction completion state analysis model, predicting and analyzing the construction personnel characteristics, the construction equipment characteristics, and the construction area characteristics, to obtain a predicted first construction completion probability; If the first construction completion probability is higher than a specified probability, energy-saving control measures are implemented for the lighting fixtures in the building area, and the energy-saving control measures include turning off the lighting fixtures or lowering the brightness of the lighting fixtures.

8. An electronic device, comprising: A memory storing executable program code; A processor coupled to the memory; characterized in that: the processor calls the executable program code stored in the memory to execute the method according to any one of claims 1-6.

9. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is executed.

10. A computer program product comprising a computer program stored on a non-transitory computer readable medium, characterized in that: 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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