Supermarket ai lighting dimming method, intelligent lighting system, device and storage medium

Abstract

This invention discloses a supermarket AI lighting dimming method and intelligent lighting system, device, and storage medium. Each light-emitting module performs a self-checking dimming step, which includes: controlling the light-emitting unit to emit light at its corresponding brightness setting value; acquiring and accumulating the number of people entering the detection area, calculating the occupancy rate of the area's population; determining whether the occupancy rate reaches the occupancy requirement threshold corresponding to the light-emitting unit; if the occupancy rate fails to reach the threshold, calculating the occupancy difference value based on the occupancy rate and the threshold; correcting the brightness setting value based on the occupancy difference value to increase the brightness setting value; and controlling the light-emitting unit to emit light at the corrected brightness setting value. In this design, each light-emitting module in the entire venue can automatically adjust the lighting brightness of different areas according to the pedestrian flow, rationally guiding pedestrian flow and improving the sales effect of goods.

Description

Technical Field

[0001] This invention relates to the field of intelligent lighting control technology, and in particular to an AI lighting dimming method for supermarkets, as well as an intelligent lighting system, device, and storage medium. Background Technology

[0002] In supermarkets, operators often use lighting of varying brightness in different areas to guide consumers to or encourage them to linger. Research shows that people are phototropic and prefer relatively bright environments. Therefore, operators can adjust the brightness of light sources in areas where different products are placed. For example, operators can appropriately increase the brightness of light sources in areas where high-profit products are placed. However, this does not mean that consumers should be discouraged from visiting other areas. Therefore, balancing the flow of people in different areas is a challenge that operators need to consider. Summary of the Invention

[0003] This invention aims to solve at least one of the technical problems existing in the prior art. To this end, this invention proposes a supermarket AI lighting dimming method, intelligent lighting system, device, and storage medium, which automatically adjusts the lighting brightness of different areas according to pedestrian flow, rationally guides pedestrian flow, and improves the sales effect of goods.

[0004] According to a first aspect of the present invention, a supermarket AI lighting dimming method is applied to an intelligent lighting system. The intelligent lighting system includes multiple light-emitting modules and a monitoring module. The multiple light-emitting modules are arranged at intervals in different areas of the lighting area. Each light-emitting module includes a people detection unit and a light-emitting unit. The people detection unit is used to detect the number of people entering the detection area. The monitoring module is connected to each light-emitting module. The supermarket AI lighting dimming method includes each light-emitting module performing a self-test dimming step. The self-test dimming step includes controlling the light-emitting unit to adjust its brightness according to its corresponding value. The system emits light at the set brightness value; it acquires and accumulates the number of people entering the detection area, calculates the occupancy rate of the area's population relative to the total population; it determines whether the occupancy rate reaches the occupancy requirement threshold corresponding to the emitting unit. If the occupancy rate fails to reach the threshold, it calculates the occupancy difference based on the occupancy rate and the threshold; it corrects the brightness set value based on the occupancy difference to increase the brightness set value, where a larger occupancy difference results in a larger increase in the brightness set value, and a smaller occupancy difference results in a smaller increase in the brightness set value; and it controls the emitting unit to emit light at the corrected brightness set value.

[0005] The AI ​​lighting dimming method for supermarkets according to embodiments of the present invention has at least the following beneficial effects:

[0006] This invention discloses a supermarket AI lighting dimming method. Staff will place different products in different areas. For some products, staff aim to attract more customers. Therefore, staff will set different brightness settings for the lighting modules in different areas. Areas where more customers are expected will have relatively higher brightness settings, while other areas will have relatively lower settings. Furthermore, staff can set an occupancy threshold for each lighting module's location, meaning that a certain percentage of foot traffic is required for that location to meet the requirements. Each lighting unit emits light according to its corresponding brightness setting. In actual operation, the foot traffic detection unit on each lighting module detects the number of people entering the detection area. The occupancy rate is used to determine whether the occupancy threshold is met. If the threshold is not met, it means the brightness of that lighting unit is not high enough to attract customers. The lighting module can automatically adjust and increase the brightness setting based on the occupancy difference. All lighting modules in the entire venue can automatically adjust the lighting brightness of different areas according to foot traffic, rationally guiding foot traffic and improving product sales.

[0007] According to some embodiments of the present invention, each light-emitting module and its adjacent light-emitting modules constitute at least one pairwise matched neighboring light-emitting group; when the pedestrian occupancy rate corresponding to the light-emitting module is higher than the occupancy requirement threshold, the light-emitting module performs a temporary dimming step, the temporary dimming step including: traversing each neighboring light-emitting group containing the light-emitting module, determining whether there is at least one neighboring light-emitting group that meets the neighboring dimming condition and filtering it out, wherein the neighboring dimming condition is that the pedestrian occupancy rate corresponding to another light-emitting module in the neighboring light-emitting group fails to reach the occupancy requirement threshold; obtaining the occupancy difference value of the other light-emitting module in each filtered neighboring light-emitting group; selecting the occupancy difference value with the largest value among at least one occupancy difference value as the temporary correction value; correcting the brightness setting value of the light-emitting module according to the temporary correction value to reduce the brightness setting value, wherein the larger the temporary correction value, the greater the reduction in the brightness setting value, and the smaller the temporary correction value, the smaller the reduction in the brightness setting value; the light-emitting module controls the light-emitting unit to emit light at the corrected brightness setting value.

[0008] According to some embodiments of the present invention, each light-emitting module has its own initial brightness value and the light-emitting unit is capable of emitting light at the initial brightness value. The step of correcting the brightness setting value of the light-emitting module according to the inspection correction value to reduce the brightness setting value includes: when the value of the brightness setting value of the light-emitting module corrected according to the inspection correction value is less than the initial brightness value, the initial brightness value is used as the corrected brightness setting value.

[0009] According to some embodiments of the present invention, in the process of correcting the brightness setting value based on the occupancy difference value to improve the brightness setting value,

[0010]

[0011] Among them, X u1 To improve the corrected brightness setting, X i The brightness setting value before correction is given, K is the correction constant, a1 is the increase correction coefficient, and G is the occupancy difference value.

[0012] According to some embodiments of the present invention, in the step of correcting the brightness setting value of the light-emitting module based on the critical inspection correction value to reduce the brightness setting value,

[0013]

[0014] Among them, X u2 To reduce the corrected brightness setting, X i The brightness setting value before correction is given, K is the correction constant, a2 is the reduction correction coefficient, and G is the occupancy difference value.

[0015] According to some embodiments of the present invention, the intelligent lighting system further includes a first communication component, and each of the crowd detection units includes a second communication component. Both the first and second communication components are capable of acquiring the MAC address of a mobile communication device within the detection area. The monitoring module is connected to the first communication component to calculate the total number of people based on the acquired MAC address. The monitoring module sends the total number of people to each light-emitting module. The light-emitting module calculates the number of people in the area based on the MAC address acquired by the second communication component.

[0016] According to some embodiments of the present invention, the supermarket AI lighting dimming method further includes: when the total number of people reaches the number threshold, the monitoring module issues a trigger command to control each light-emitting module to perform a self-test dimming step.

[0017] According to a second aspect of the present invention, an intelligent lighting system includes a plurality of light-emitting modules and a monitoring module. The plurality of light-emitting modules are arranged at intervals in different areas of the lighting location. Each light-emitting module includes a person flow detection unit and a light-emitting unit. The person flow detection unit is used to detect the number of people entering the detection area. The monitoring module is connected to each light-emitting module to perform a supermarket AI lighting dimming method, including any of the above embodiments.

[0018] The intelligent lighting system according to embodiments of the present invention has at least the following beneficial effects:

[0019] The intelligent lighting system of this invention applies the supermarket AI lighting dimming method disclosed in any of the above embodiments. Each light-emitting module in the entire venue can automatically adjust the lighting brightness of different areas according to the flow of people, so as to reasonably guide the flow of people and improve the sales effect of goods.

[0020] According to a third aspect of the present invention, the control device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the supermarket AI lighting dimming method disclosed in any of the above embodiments.

[0021] According to a fourth aspect of the present invention, a computer-readable storage medium stores a computer program, characterized in that, when executed by a processor, the computer program implements the supermarket AI lighting dimming method disclosed in any of the above embodiments.

[0022] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0023] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0024] Figure 1 This is a schematic diagram of the principle structure of one embodiment of the intelligent lighting system of the present invention;

[0025] Figure 2 This is an application diagram of one embodiment of the intelligent lighting system of the present invention;

[0026] Figure 3 This is a first flowchart of one embodiment of the AI ​​lighting dimming method for supermarkets of the present invention;

[0027] Figure 4 This is a second flowchart of one embodiment of the AI ​​lighting dimming method for supermarkets of the present invention;

[0028] Figure 5 This is a schematic diagram of the control device of the present invention in one embodiment.

[0029] Figure label:

[0030] Light-emitting module 100; pedestrian detection unit 110; light-emitting unit 120; control module 130; monitoring module 200; first communication component 300; processor 610; memory 620; input / output interface 630; communication interface 640; bus 650. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0032] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0033] In the description of this invention, "several" means one or more, "multiple" means two or more, "greater than", "less than", "exceeding" are understood to exclude the number itself, and "above", "below", "within" are understood to include the number itself.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0035] like Figures 1 to 4 As shown, according to a first aspect embodiment of the present invention, a supermarket AI lighting dimming method is applied to an intelligent lighting system. The intelligent lighting system includes multiple light-emitting modules 100 and a monitoring module 200. The multiple light-emitting modules 100 are arranged at intervals in different areas of the lighting area. Each light-emitting module 100 includes a person flow detection unit 110 and a light-emitting unit 120. The person flow detection unit 110 is used to detect the number of people entering the detection area. The monitoring module 200 is connected to each light-emitting module 100. The supermarket AI lighting dimming method includes each light-emitting module 100 performing a self-test dimming step.

[0036] Understandably, multiple light-emitting modules 100 are typically arranged horizontally along the ceiling of the supermarket. Each light-emitting module 100 can correspond to an area. Depending on the type of goods placed in that area, staff can set a brightness setting value that is suitable for that area. The light-emitting unit 120 includes multiple LED light panels. The light-emitting module 100 is also equipped with a control module 130. The control module 130 includes an MCU or CPU and its auxiliary circuits. The control module 130 is connected to the people flow detection unit 110 and the light-emitting unit 120 respectively. The control module 130 can control the light-emitting unit 120 to emit light according to the brightness setting value by adjusting the current passing through the light-emitting unit 120.

[0037] Specifically, the light-emitting module 100 can be a track light installed on the ceiling of the supermarket, so that staff can easily change the position of the light-emitting module 100. The people flow detection unit and control module can be integrated into the light-emitting module.

[0038] In some embodiments of the present invention, LED light panels may also be provided with LED beads of different colors. Operators can output control commands to the control module through remote control or operation buttons. The control module adjusts the on / off frequency of LED beads of different colors according to the control commands, thereby adjusting the mixed color of the light emitted by the LED light panel to change the light emission color temperature.

[0039] The people detection unit 110 can be one or a combination of pyroelectric sensors, lidar, or a second communication component. The pyroelectric sensor, lidar, or second communication component can all be located on the ceiling panel. Taking the pyroelectric sensor as an example, the pyroelectric sensor can form a detection area below. When a consumer enters the detection area, the pyroelectric sensor can detect that a human body has entered the detection area, and the number of people detected will increase by one.

[0040] The second communication component can be a WiFi or mobile communication chip. Nowadays, consumers usually carry mobile communication devices. When a mobile communication device enters the communication area of ​​the second communication component, it can connect with the second communication component. The second communication component can obtain the unique MAC address of the mobile communication device. The number of people entering the detection area can be determined based on the number of MAC addresses. The MAC address is unique. If the same person enters the detection area multiple times, it is only counted as one person.

[0041] In some embodiments of the present invention, the intelligent lighting system further includes a first communication component 300, which can be installed at the entrance and exit of the supermarket. Similarly, the first communication component 300 can be a WiFi or mobile communication chip. When a consumer enters the supermarket, the first communication component 300 obtains the MAC address of the mobile communication device in the detection area. The monitoring module 200 is connected to the first communication component 300 to calculate the total number of people based on the obtained MAC address. The monitoring module 200 sends the total number of people to each light-emitting module 100. It can be understood that since the first communication component 300 is installed at the entrance and exit of the supermarket, the number of MAC addresses obtained by the first communication component 300 is the total number of people in the supermarket. The second communication component is installed in the light-emitting module 100, and the detection area is the lighting area that the light-emitting module 100 is responsible for. Therefore, the number of MAC addresses obtained by the second communication component is the number of people entering the area.

[0042] The self-test dimming step includes:

[0043] S410, Control the light-emitting unit 120 to emit light at the brightness setting value corresponding to the light-emitting unit 120;

[0044] S420. Obtain and accumulate the number of people entering the detection area, and calculate the percentage of people in the area relative to the total number of people.

[0045] S430. Determine whether the pedestrian occupancy rate has reached the occupancy rate requirement threshold corresponding to the light-emitting unit 120. If the pedestrian occupancy rate fails to reach the occupancy rate requirement threshold, calculate the occupancy rate difference value based on the pedestrian occupancy rate and the occupancy rate requirement threshold.

[0046] S440. The brightness setting value is corrected according to the occupancy difference value to improve the brightness setting value. The larger the occupancy difference value, the greater the increase in the brightness setting value. The smaller the occupancy difference value, the smaller the increase in the brightness setting value.

[0047] S450 controls the light-emitting unit 120 to emit light at the corrected brightness setting value.

[0048] When the intelligent lighting system is first powered on, each light-emitting module 100 emits light according to its own brightness setting value. In subsequent operation, people will gradually enter the supermarket. After the people flow detection unit 110 detects a relatively sufficient number of data samples, it can trigger the execution of the self-test dimming step.

[0049] In some embodiments of the present invention, the supermarket AI lighting dimming method further includes:

[0050] When the total number of people reaches the threshold, the monitoring module 200 sends a trigger command to control each light-emitting module 100 to perform its own self-test and dimming steps.

[0051] Understandably, when a sufficient number of people enter the supermarket and the flow of people is guided by the initial brightness level to form a certain distribution, adjusting the brightness setting at this point will be more accurate, preventing dimming disorder in the intelligent lighting system and ensuring more stable and reliable operation.

[0052] Additionally, it should be noted that this design first calculates the pedestrian occupancy rate, and then uses the pedestrian occupancy rate and the required occupancy rate threshold to calculate the occupancy rate difference value. However, the brightness setting value is corrected by using the occupancy rate difference value, rather than directly using the difference in the number of people to correct the brightness setting value, which makes the adjustment of the brightness setting value more precise.

[0053] This invention discloses a supermarket AI lighting dimming method. Staff will place different products in different areas. For some products, staff aim to attract more customers. Therefore, staff will set different brightness settings for the light-emitting modules 100 in different areas. Areas where more customers are expected will have relatively higher brightness settings, while other areas will have relatively lower settings. Furthermore, staff can set an occupancy threshold for each light-emitting module 100, meaning that a certain percentage of people must pass through that location to meet the requirements. Each light-emitting unit 120 emits light according to its corresponding brightness setting. During actual operation, the people flow detection unit 110 on each light-emitting module 100 detects the number of people entering the detection area. The occupancy rate of the area is used to determine whether the occupancy threshold is met. If the threshold is not met, it means the brightness of the light-emitting unit 120 is not high enough to attract customers. The light-emitting module 100 can automatically adjust and increase its brightness setting based on the occupancy difference. All light-emitting modules 100 in the entire venue can automatically adjust the lighting brightness of different areas according to the people flow, rationally guiding the flow of people and improving the sales effect of goods.

[0054] It is understandable that consumer activity tends to be influenced by the brightness of a region. Consumers are more willing to move from a relatively dim environment to a relatively bright environment. If the brightness of a certain area is simply increased, the guiding effect may be relatively limited. Therefore, in some embodiments of the present invention, each light-emitting module 100 and each of the adjacent light-emitting modules 100 constitute at least one pairwise matched adjacent light-emitting group.

[0055] When the pedestrian occupancy rate corresponding to the light-emitting module 100 is higher than the required occupancy threshold, the light-emitting module 100 performs a temporary dimming step, which includes:

[0056] S510. Traverse each adjacent light-emitting group containing the light-emitting module 100, determine whether there is at least one adjacent light-emitting group that meets the adjacent dimming condition and filter it out, wherein the adjacent dimming condition is that the pedestrian occupancy rate corresponding to another light-emitting module 100 in the adjacent light-emitting group fails to reach the occupancy rate requirement threshold.

[0057] S520: Obtain the occupancy difference value of another light-emitting module 100 in each of the filtered adjacent light-emitting groups;

[0058] S530. Select the largest market share difference value from at least one market share difference value as the temporary inspection correction value.

[0059] S540. The brightness setting value of the light-emitting module 100 is corrected according to the inspection correction value to reduce the brightness setting value. The larger the inspection correction value, the greater the reduction in the brightness setting value. The smaller the inspection correction value, the smaller the reduction in the brightness setting value.

[0060] S550, the light-emitting module 100 controls the light-emitting unit 120 to emit light at a corrected brightness setting value.

[0061] Since the various light-emitting modules 100 in the supermarket are relatively evenly and regularly distributed, each light-emitting module 100 is basically surrounded by one or more adjacent light-emitting modules 100. The brightness between two light-emitting modules 100 can also guide consumers to move around.

[0062] Each light-emitting module 100 is matched with adjacent light-emitting modules 100 to form a neighboring light-emitting group. Specifically, this grouping can be set by the staff. It can be understood that two adjacent light-emitting modules 100 form a neighboring light-emitting group. The more light-emitting modules 100 a certain light-emitting module 100 has as its neighbors, the more neighboring light-emitting groups it contains.

[0063] In the self-check dimming step, if the occupancy rate of the area under the responsibility of the light-emitting module 100 fails to reach the corresponding occupancy requirement threshold, the corresponding illumination setting value needs to be corrected and increased. If the occupancy rate of the area under the responsibility of the light-emitting module 100 is higher than the occupancy requirement threshold, an ad hoc dimming step needs to be performed. By matching with neighboring light-emitting modules, it is determined whether there are any nearby light-emitting modules 100 whose occupancy rate fails to reach the occupancy requirement threshold. If so, it is necessary to consider whether the failure to reach the occupancy requirement threshold is due to the excessive brightness of the light-emitting module 100, which makes it difficult for nearby light-emitting modules 100 to attract people even if they reach a certain brightness.

[0064] Therefore, when at least one of the adjacent light-emitting groups containing the light-emitting module 100 meets the adjacent dimming condition, that is, the occupancy rate of the other light-emitting module 100 in the adjacent light-emitting group fails to reach the required occupancy rate threshold, it is necessary to obtain the occupancy rate difference value of the other light-emitting module 100 in the screened adjacent light-emitting group. It can be understood that no matter how many adjacent light-emitting groups are screened, it is only necessary to use the occupancy rate difference value with the largest value as the inspection correction value. Then, the brightness setting value of the light-emitting module 100 is reduced and corrected according to the inspection correction value, thereby reducing the attraction effect of the light-emitting brightness of the light-emitting module 100 on the flow of people, making it easier for the flow of people to disperse to the nearby area.

[0065] It should be noted that during the dimming process, the brightness setting of the light-emitting module 100 cannot be reduced without limit, which may even cause the brightness of the light-emitting module 100 to be insufficient to maintain normal lighting needs. In some embodiments of the present invention, each light-emitting module 100 has its own initial brightness value and the light-emitting unit 120 can emit light at the initial brightness value. The initial brightness value is set by the operator, and the initial brightness values ​​of the light-emitting modules 100 in each area may be the same or different.

[0066] The step of correcting the brightness setting value of the light-emitting module 100 according to the inspection correction value to reduce the brightness setting value includes:

[0067] If the value corrected by the inspection correction value for the brightness setting of the light-emitting module 100 is less than the initial brightness value, then the initial brightness value shall be used as the corrected brightness setting value.

[0068] This is equivalent to first using the temporary inspection correction value to calculate the value to correct the brightness setting value of the light-emitting module 100. If the value is greater than the initial brightness value, then the value is selected as the corrected brightness setting value. If the value is less than the initial brightness value, then the initial brightness value is used as the corrected brightness setting value.

[0069] Specifically, in the process of correcting the brightness setting value based on the occupancy difference value to increase the brightness setting value,

[0070]

[0071] Among them, X u1 To improve the corrected brightness setting, X i The brightness setting value before correction is given, K is the correction constant, a1 is the increase correction coefficient, and G is the occupancy difference value.

[0072] Specifically, the correction constant K and the amplification correction coefficient a1 can both be set by the staff according to the actual situation. Therefore, the larger the occupancy difference value G, the larger the corrected brightness setting value X will be. u1 The brightness setting value X also increases accordingly, while the occupancy difference value G is relatively small. u1 Compared to the original brightness setting X i The increase was relatively small.

[0073] In some embodiments of the present invention, in the step of correcting the brightness setting value of the light-emitting module according to the critical inspection correction value to reduce the brightness setting value...

[0074]

[0075] Among them, X u2 To reduce the corrected brightness setting, X iThe brightness setting value before correction is given, K is the correction constant, a2 is the reduction correction coefficient, and G is the occupancy difference value.

[0076] Understandably, in the self-test dimming step, the occupancy difference value G is calculated based on the pedestrian occupancy rate and the required occupancy threshold of its corresponding area. In the adjacent dimming step, the occupancy difference value G is calculated based on the pedestrian occupancy rate and the required occupancy threshold of the corresponding area of ​​another light-emitting module in the adjacent light-emitting group.

[0077] The reduction correction coefficient a2 can also be set by the staff according to the actual situation. In this design, the reduction correction coefficient a2 can be less than a1 as the increase correction coefficient. By increasing the brightness of its own area, it can attract and guide consumers. Meanwhile, the nearby light-emitting modules can reduce the brightness of their own areas to help increase the flow of people in the nearby areas, while ensuring that the occupancy rate of the pedestrian flow is not reduced excessively.

[0078] According to a second aspect of the present invention, an intelligent lighting system, such as Figure 1 , 2 As shown, the system includes multiple light-emitting modules 100 and a monitoring module 200. The multiple light-emitting modules 100 are arranged at intervals in different areas of the lighting location. Each light-emitting module 100 includes a people flow detection unit 110 and a light-emitting unit 120. The people flow detection unit 110 is used to detect the number of people entering the detection area. The monitoring module 200 is connected to each light-emitting module 100 to perform a supermarket AI lighting dimming method as disclosed in any of the above embodiments.

[0079] The monitoring module 200 can be a central processing unit, which is interconnected with each light-emitting module 100 through communication methods such as WiFi, 4G, and 5G. Each light-emitting module 100 can transmit data to each other and reasonably trigger the self-test dimming step and the emergency dimming step.

[0080] The intelligent lighting system of this invention applies the supermarket AI lighting dimming method disclosed in any of the above embodiments. Each light-emitting module 100 in the entire venue can automatically adjust the lighting brightness of different areas according to the flow of people, so as to reasonably guide the flow of people and improve the sales effect of goods.

[0081] According to a third aspect of the present invention, the control device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the supermarket AI lighting dimming method disclosed in any of the above embodiments.

[0082] The control device can be any intelligent terminal, including a central computer, a remote equipment terminal computer, or any other intelligent terminal.

[0083] like Figure 5 As shown, Figure 5 The hardware structure of a control device according to another embodiment is also illustrated. The control device includes:

[0084] The processor 610 can be implemented using a general-purpose central processing unit (CPU), a microprocessor 610, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0085] The memory 620 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 620 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 620 and called and executed by the processor 610 using the supermarket AI lighting dimming method of the embodiments of this application.

[0086] The input / output interface 630 is used to realize information input and output;

[0087] The communication interface 640 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0088] The bus 650 transmits information between various components of the device (such as processor 610, memory 620, input / output interface 630 and communication interface 640), and can also be connected to the smart Internet of Things.

[0089] The processor 610, memory 620, input / output interface 630 and communication interface 640 are connected to each other within the device via bus 650.

[0090] According to a fourth aspect of the present invention, a computer-readable storage medium stores a computer program, characterized in that, when executed by a processor, the computer program implements the supermarket AI lighting dimming method disclosed in any of the above embodiments.

[0091] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0092] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0093] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0094] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0095] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0096] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0097] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

[0098] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0099] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A supermarket AI lighting dimming method, applied to an intelligent lighting system, wherein the intelligent lighting system includes multiple light-emitting modules and a monitoring module, the multiple light-emitting modules are arranged at intervals in different areas of the lighting area, each light-emitting module includes a people flow detection unit and a light-emitting unit, the people flow detection unit is used to detect the number of people entering the detection area, and the monitoring module is connected to each light-emitting module, characterized in that, The supermarket AI lighting dimming method includes each light-emitting module performing a self-test dimming step, which includes: The light-emitting unit is controlled to emit light at the brightness setting value corresponding to that light-emitting unit; Acquire and accumulate the number of people entering the detection area, and calculate the percentage of people in the area relative to the total number of people. Determine whether the pedestrian occupancy rate has reached the occupancy rate requirement threshold corresponding to the light-emitting unit. If the pedestrian occupancy rate fails to reach the occupancy rate requirement threshold, calculate the occupancy rate difference value based on the pedestrian occupancy rate and the occupancy rate requirement threshold. The brightness setting is adjusted based on the occupancy difference to improve the brightness setting. The larger the occupancy difference, the greater the increase in the brightness setting; the smaller the occupancy difference, the smaller the increase in the brightness setting. The light-emitting unit is controlled to emit light at the corrected brightness setting value.

2. The supermarket AI lighting dimming method according to claim 1, characterized in that, Each light-emitting module and its adjacent light-emitting modules form at least one pairwise matched neighboring light-emitting group, wherein each light-emitting module is light-emitting module A, and the light-emitting modules adjacent to each light-emitting module are light-emitting modules B; When the pedestrian occupancy rate corresponding to the light-emitting module A is higher than the required occupancy threshold, the light-emitting module A performs a temporary dimming step, which includes: Traverse each adjacent light-emitting group containing light-emitting module A, determine whether there is at least one adjacent light-emitting group that meets the adjacent dimming condition and filter it out, wherein the adjacent dimming condition is that the pedestrian occupancy rate corresponding to light-emitting module B in the adjacent light-emitting group fails to reach the occupancy rate requirement threshold. Obtain the occupancy difference value of light-emitting module B in each of the filtered neighboring light-emitting groups; Select the largest market share difference value from at least one market share difference value as the temporary inspection correction value; The brightness setting value of the light-emitting module A is corrected according to the inspection correction value to reduce the brightness setting value. The larger the inspection correction value, the greater the reduction in brightness setting value, and the smaller the inspection correction value, the smaller the reduction in brightness setting value. The light-emitting module A controls the light-emitting unit to emit light at the corrected brightness setting value.

3. The supermarket AI lighting dimming method according to claim 2, characterized in that, Each light-emitting module has its own initial brightness value, and the light-emitting unit is capable of emitting light at the initial brightness value. The step of correcting the brightness setting value of the light-emitting module based on the critical inspection correction value to reduce the brightness setting value includes: If the value corrected for the brightness setting of the light-emitting module based on the temporary inspection correction value is less than the initial brightness value, then the initial brightness value shall be used as the corrected brightness setting value.

4. The supermarket AI lighting dimming method according to claim 2, characterized in that, In the process of correcting the brightness setting value based on the occupancy difference value to improve the brightness setting value... ； in, To improve the corrected brightness setting, The brightness setting before correction. To correct the constant, This is the adjustment factor for the increase. This represents the market share difference.

5. The supermarket AI lighting dimming method according to claim 4, characterized in that, In the process of correcting the brightness setting value of the light-emitting module based on the inspection correction value to reduce the brightness setting value... ； in, To reduce the corrected brightness setting, The brightness setting before correction. To correct the constant, This is the reduction correction factor. This represents the market share difference.

6. The supermarket AI lighting dimming method according to claim 1, characterized in that, The intelligent lighting system also includes a first communication component, and each of the crowd detection units includes a second communication component. Both the first and second communication components are capable of acquiring the MAC address of a mobile communication device within the detection area. The monitoring module is connected to the first communication component to determine the total number of people based on the acquired MAC addresses; The monitoring module distributes the total number of people to each light-emitting module; The light-emitting module determines the number of people in the area based on the MAC address obtained by the second communication component.

7. The supermarket AI lighting dimming method according to claim 6, characterized in that, Also includes: When the total number of people reaches the threshold, the monitoring module issues a trigger command to control each light-emitting module to perform its own self-test and dimming steps.

8. An intelligent lighting system, characterized in that, The system includes multiple light-emitting modules and a monitoring module. The multiple light-emitting modules are arranged at intervals in different areas of the lighting area. Each light-emitting module includes a people flow detection unit and a light-emitting unit. The people flow detection unit is used to detect the number of people entering the detection area. The monitoring module is connected to each light-emitting module to perform the supermarket AI lighting dimming method as described in any one of claims 1 to 7.

9. A control device, characterized in that, The control device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the supermarket AI lighting dimming method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the supermarket AI lighting dimming method according to any one of claims 1 to 7.

Images