A lighting control method, device, and storage medium based on the Internet of Things (IoT).

Abstract

This specification provides an Internet of Things (IoT)-based lighting control method, device, and storage medium, applicable to the field of IoT technology. The method includes: determining the location area of ​​the target device based on its location information; acquiring the lighting status of at least one IoT device within the location area; and controlling the lighting status of the target device by referring to the lighting status of the at least one IoT device. This method achieves automatic control of the target device's lighting status without requiring a light sensor on the target device, allowing for wider application. Furthermore, statistical analysis of the IoT device's lighting data ensures the accuracy of the lighting status control, enabling convenient and effective automatic lighting control. When applied to vehicles and other transportation vehicles, it allows for timely activation of headlights, reducing the likelihood of traffic accidents and improving the user experience.

Description

Technical Field

[0001] The embodiments in this specification relate to the field of Internet of Things (IoT) technology, and in particular to an IoT-based lighting control method, device, and storage medium. Background Technology

[0002] With societal progress and development, the application of lighting in cities is becoming increasingly widespread. Vehicle lights, streetlights, and household lighting fixtures all effectively provide illumination services, enabling stable and efficient production and daily life even at night. In particular, because vehicles are increasingly used at night and in areas lacking natural light, cars, electric bicycles, and mopeds are becoming more reliant on lighting.

[0003] Normally, vehicle lights are manually controlled based on the user's perception. However, in reality, users may forget to turn on the lights, such as when starting the vehicle or driving from a bright area into a dark area. In the absence of light, traffic accidents are highly likely, affecting driving safety. Currently, automatic control of vehicle lights is generally achieved through light sensors. However, this method not only requires the hardware support of a light sensor, but light sensors are also easily affected by external factors when applied to vehicles, resulting in inconsistent and ineffective operation and poor practical application. Therefore, there is an urgent need for a method to conveniently and effectively control the lights of vehicles and other equipment without relying on light sensors. Summary of the Invention

[0004] The purpose of the embodiments in this specification is to provide a lighting control method, device, and storage medium based on the Internet of Things (IoT) to solve the problem of how to conveniently and effectively control the on / off status of lights on vehicles and other equipment.

[0005] To address the aforementioned technical problems, this specification proposes an Internet of Things (IoT)-based lighting control method, comprising: determining the location area of ​​the target device based on the location information of the target device; acquiring the lighting status of at least one IoT device in the location area; and controlling the lighting status of the target device by referring to the lighting status of the at least one IoT device.

[0006] This specification also proposes an Internet of Things (IoT)-based lighting control device, comprising: a positioning area determination module for determining the positioning area where the target device is located based on the location information of the target device; a lighting status acquisition module for acquiring the lighting status of at least one IoT device in the positioning area; and a lighting status control module for controlling the lighting status of the target device with reference to the lighting status of the at least one IoT device.

[0007] This specification also proposes a computer-readable storage medium storing a computer program / instruction thereon, which, when executed, implements the above-described IoT-based lighting control method.

[0008] As can be seen from the technical solutions provided in the embodiments of this specification above, these embodiments can obtain the location information of the target device to determine its location area. By identifying the IoT devices included in the location area, the lighting status of these IoT devices is statistically analyzed, and based on these lighting statuses, the lighting status of the target device is controlled. This method achieves automatic control of the target device's lighting status without the need to install a light sensor on the target device, allowing for wider application. Furthermore, statistical analysis of the IoT devices' lighting ensures the accuracy of the lighting status control, enabling convenient and effective automatic lighting control. When applied to vehicles and other transportation vehicles, it allows for timely activation of headlights, reducing the likelihood of traffic accidents and improving the user experience. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a structural diagram of an IoT-based lighting control system as an embodiment of this specification;

[0011] Figure 2 This is a flowchart illustrating an IoT-based lighting control method as an embodiment of this specification.

[0012] Figure 3 This is a block diagram of an IoT-based lighting control device as an embodiment of this specification. Detailed Implementation

[0013] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0014] To better understand the inventive concept of this application, an embodiment of an Internet of Things-based lighting control system is first introduced in this specification. For example... Figure 1 As shown, the IoT-based lighting control system 100 may include a target device 110 and a lighting control device 120.

[0015] The target device 110 is a device equipped with a light, and the target device 110 can control the state of the light, including turning the light on and off, the intensity of the light, and the direction of the light's illumination.

[0016] In some embodiments, the target device 110 may be a vehicle equipped with headlights. Since vehicles typically operate outdoors, they face more complex environmental conditions and lighting requirements. Furthermore, the vehicle's position changes during movement, causing the external environment to constantly evolve, necessitating a more effective method for controlling headlights. Accordingly, the vehicle can use internal chips and control circuits to turn the headlights on and off.

[0017] It should be noted that the examples listed in the subsequent method steps describe the target device as a vehicle for the sake of convenience. In reality, the IoT-based lighting control method can also be applied to other target devices besides vehicles, such as streetlights, smart home devices, etc., without limitation.

[0018] The lighting control device 120 is used to determine whether the lights of the target device 110 should be turned on or off according to the corresponding processing logic. Accordingly, the lighting control device 120 can communicate with the target device 110 to obtain the corresponding status information of the target device 110. The lighting control device 120 can issue corresponding commands to the target device 110 to indirectly control the lighting status of the target device 110. For example, the lighting control device 120 can issue a light-on command to the vehicle, and the vehicle can automatically turn on its lights upon receiving the command.

[0019] The lighting control device 120 can be a modular device directly installed on the target device 110, thereby enabling direct information interaction and command transmission with the target device 110 via a line; the lighting control device 120 can also be a computing device installed at a remote location, such as a server or distributed node, which can communicate with the target device 110 via wireless communication and issue corresponding commands to the target device 110 to control the target device 110.

[0020] like Figure 1 As shown, the application environment of the lighting control system 100 may also include Internet of Things (IoT) devices. Among them, Figure 1 The example shows IoT device 1, IoT device 2, and IoT device 3. In actual applications, there is no limit to the number of IoT devices.

[0021] IoT devices can connect to the internet, specifically uploading their own status information and the information they sense to the IoT network. For example... Figure 1 As shown, IoT devices 1, 2, and 3 can all upload their data to their respective IoT data centers. Correspondingly, target device 110 and lighting control device 120 can also access the IoT data center. Lighting control device 120 can filter information in the IoT data center and analyze the filtered information to execute the following lighting control method. The specific process of interaction between lighting control device 120 and the IoT can be configured based on the actual application requirements and will not be elaborated here. Furthermore, target device 110 can also interact with the IoT data center as needed. Figure 1 (Not shown).

[0022] It should be noted that the appendix Figure 1 This description of the relationship between devices is merely illustrative. In actual applications, the number of target devices 110 and lighting control devices 120 may not be limited to this. For example, a single lighting control device 120 may simultaneously handle the lighting status of multiple target devices 110, without any limitation.

[0023] Based on the aforementioned IoT-based lighting control system, this specification introduces an IoT-based lighting control method according to an embodiment. The executing entity of the IoT-based lighting control method is the IoT-based lighting control system itself. For example... Figure 2 As shown, the IoT-based lighting control method may include the following specific implementation steps.

[0024] S210: Based on the location information of the target device, determine the positioning area where the target device is located.

[0025] Location information describes the current location of a target device and is generally information obtained after locating the target device. Specifically, for example, the target device can be located by communicating with it via GPS, GNSS, or other methods. The method of acquiring location information can be adjusted based on the needs of the actual application and is not limited to the examples above, so it will not be elaborated further here.

[0026] In the case where the target device is a vehicle, the location of the target device may be in a state of real-time change due to the mobility of the vehicle, making the acquisition of the location information of the target device even more important.

[0027] The positioning area is the region corresponding to the location information. Since the location information only reflects the location of the target device, the coverage area needs to be expanded based on the location information.

[0028] In some implementations, the positioning area can be the city where the target device is located, determined based on location information. When a vehicle is traveling in a city, and the light intensity is low, there will inevitably be a certain number of other devices in the city with their lights on. By referring to the on / off status of other devices, it is possible to effectively determine whether it is necessary to turn on the target device's lights.

[0029] Since different areas of a city may have different overall lighting conditions, it is preferable to divide the city into different areas in advance based on the overall lighting conditions of different locations. For example, it can be divided into city center areas, residential areas, and suburban areas. In the city center area, the road lighting equipment is generally well set up, so vehicles do not need to turn on their lights or headlights even after dark. In residential areas, due to the tall buildings, the light blocking effect is strong, and vehicles generally turn on their lights earlier. Suburban areas may lack good road lighting equipment, and the adjustment of lights is more obvious due to weather and time.

[0030] In some implementations, the positioning area can be a region centered on the current location of the target device corresponding to the location information, with a preset detection distance as the radius. Since the area surrounding the target device generally has a similar environmental state to the current location when referencing the lighting status of other devices, the lighting status of other devices within this range provides a good reference for whether the target device is lit.

[0031] To illustrate with a concrete example, suppose the preset detection distance is one kilometer. The positioning area is a radius of one kilometer centered on the target device. Assuming the target device is a vehicle traveling on a tree-lined road, the positioning area determined by the preset detection distance is generally also the tree-lined road. Other vehicles within this positioning area are typically in similar environments. If most vehicles in this positioning area have their lights on, it indicates a lack of natural light, and the target vehicle's lights can also be turned on. Conversely, if most vehicles in this positioning area do not have their lights on, it indicates no need to turn on the lights, and they can be left off.

[0032] Furthermore, since in practical applications, not turning on the lights in dim light poses certain safety hazards, while turning on the lights in bright light mainly affects the power consumption of the equipment, it is preferable to first determine whether the target device's lighting status is already on before obtaining the target device's location information. If it is already on, the target device's lighting status does not need to be adjusted, and there is no need to execute the subsequent steps of this method; if the target device is detected to be off, then step S210 and subsequent steps are executed to ensure that the lighting is controlled based on the target device's needs.

[0033] In some implementations, before executing step S210, the current time can be obtained first, and it can be determined whether the current time falls within the lighting control period. The lighting control period can be a time period determined in advance based on the current season and the characteristics of the location, which is a period of lack of natural light. For example, in Shanghai, the sunrise time in May is 5:00 AM and the sunset time is 6:30 PM. If the target device is located in Shanghai and it is currently May, the lighting control period can be set to 6:30 PM to 5:00 AM the next day. After detecting that the current time is within the lighting control period, the positioning area is determined, and it is determined whether the lighting status of the target device needs to be adjusted.

[0034] S220: Obtain the lighting status of at least one IoT device in the positioning area.

[0035] Internet of Things (IoT) devices are non-standard computing devices that can access the internet. They are generally physical devices other than computers and smartphones, such as smart home devices, wearable devices, and smart cars. In the embodiments described in this specification, the IoT device is a device equipped with lights, and the IoT device is able to obtain its own light status.

[0036] Preferably, when the target device is a vehicle equipped with headlights, the IoT device includes the vehicle in motion.

[0037] Light status describes the state of lights set on IoT devices, specifically including on / off status and light intensity. Generally, even if an IoT device lacks a light sensor, it can still obtain its own light status based on its circuit logic, thus expanding the range of IoT devices selected in the embodiments of this specification.

[0038] The process of obtaining the lighting status can be as follows: after determining the location area, search for IoT devices connected to the Internet of Things based on the location area, then filter out the devices with lights set up from these IoT devices, and obtain the lighting status of each IoT device through the information uploaded by these IoT devices.

[0039] In some implementations, the positioning area can also be a low-light area. After obtaining the location information of the target device, the specific area where the target device is located can be determined by combining the location information with actual map information, such as commercial areas, elevated roads, bridges, underground parking garages, tunnels, etc. Among these, underground parking garages and tunnels are often in areas with insufficient lighting. When the target device is detected to be located in these low-light areas, there may be a strong need to adjust the lighting status of the target device, so the lighting status of the IoT device can be specifically obtained for the low-light area.

[0040] To illustrate with a specific example, when the target device is a target car, after the target car enters the tunnel, the lighting control device detects that the target car is in a low-light area. It can then obtain the lighting status of other vehicles connected to the Internet of Things in the tunnel and control the lighting status of the target car by referring to the lighting status of other vehicles.

[0041] S230: Control the lighting state of the target device with reference to the lighting state of the at least one IoT device.

[0042] After obtaining the lighting status of the aforementioned IoT devices, the lighting status of the target device can be controlled based on these lighting statuses.

[0043] In some implementations, when the lighting status includes both on and off states, the number of IoT devices in the on state can be detected, and it can be determined whether the number exceeds the on-state detection threshold. The on-state detection threshold can be a pre-set value that describes the minimum number of IoT devices in the on-state within a location area in a scenario where lighting is required. The specific threshold can be determined based on actual data analysis, and the process of obtaining the on-state detection threshold will not be elaborated here.

[0044] When the number of IoT devices with their lights on exceeds the light detection threshold, it indicates that a large number of IoT devices in the location area have their lights on, meaning there is a current need to turn on the lights. In this case, the lighting status of the target device can be adjusted to be on.

[0045] In some implementations, the light-on detection threshold can also be a proportional value, used to describe the minimum proportion of IoT devices in a location area that are in a lit-on state in a scenario where lighting is required. After acquiring the lighting status of all IoT devices, the lighting control device can calculate the proportion of IoT devices in a lit-on state, and when this proportion exceeds the light-on detection threshold, control the lighting status of the target device to be lit.

[0046] In practical applications, one type of light-on detection threshold can be selected to execute the above method, or both types of light-on detection thresholds can be combined to control the lighting status of the target device; there are no restrictions on this.

[0047] In some implementations, the lighting status may also include light intensity, and the lighting status of the target device can be controlled based on the light intensity. In this implementation, the IoT device may be a device with light sensing capabilities, and may not have its own light. Accordingly, obtaining the lighting status of these IoT devices may involve obtaining the light intensity sensed by the IoT devices in the location area.

[0048] After obtaining the light intensity sensed by IoT devices in the location area, a general understanding of the overall light intensity within the area can be obtained. The comprehensive light intensity corresponding to the location area can then be determined based on this light intensity. Specifically, the comprehensive light intensity can be calculated as an average of the light intensity sensed, or it can be the mode of the light intensity sensed. In practical applications, the method for calculating the comprehensive light intensity can be set as needed and is not limited thereto.

[0049] After determining the overall light intensity, it can be compared with the standard light intensity. If the overall light intensity is not greater than the standard light intensity, it indicates that the illumination intensity in the positioning area is not high, and the device itself needs to provide additional lighting. In this case, the lighting status of the target device can be controlled to be turned on. The standard light intensity can be a preset light intensity value used to describe the minimum light intensity value under conditions where no additional lighting is required. The specific value can be determined based on relevant data from actual applications, which will not be elaborated here.

[0050] In some implementations, the lighting status of the target device may also include lighting intensity, meaning the lighting intensity of the target device is also adjustable. For example, if the target device is a vehicle, the vehicle's low beams and high beams have different light intensities, and lights with different light intensity adjustment functions can also be set for the target device. After obtaining the overall light intensity, the lighting intensity of the target device can be adjusted based on the overall light intensity. For example, a correspondence between the overall light intensity and the lighting intensity of the target device can be preset; the lower the overall light intensity, the higher the lighting intensity of the target device can be set to meet the needs of the actual scenario. Specific settings can be configured according to the actual application requirements, and will not be elaborated here.

[0051] Based on the above embodiments and scenario examples, it can be seen that the method can obtain the location information of the target device to determine the positioning area of ​​the target device. By identifying the IoT devices included in the positioning area, the lighting status of these IoT devices is statistically analyzed, and based on these lighting statuses, the lighting status of the target device is controlled. This method achieves automatic control of the target device's lighting status without the need to install a light sensor on the target device, making the method more widely applicable. Furthermore, statistical analysis of the IoT devices' lighting ensures the accuracy of the lighting status control, thus enabling convenient and effective automatic lighting control. When applied to vehicles and other transportation vehicles, it can promptly turn on headlights, reducing the possibility of traffic accidents and improving the user experience.

[0052] based on Figure 2This specification describes an IoT-based lighting control device, as an example of an IoT-based lighting control method. The IoT-based lighting control device is installed within the lighting control equipment. For example... Figure 3 As shown, the IoT-based lighting control device includes the following modules.

[0053] The positioning area determination module 310 is used to determine the positioning area where the target device is located based on the location information of the target device.

[0054] The light status acquisition module 320 is used to acquire the light status of at least one Internet of Things device in the positioning area.

[0055] The lighting status control module 330 is used to control the lighting status of the target device by referring to the lighting status of the at least one Internet of Things device.

[0056] Based on the above-described IoT-based lighting control method, embodiments of this specification provide a computer-readable storage medium storing computer programs / instructions. The computer-readable storage medium can be read by a processor via the device's internal bus, and the processor can then implement the program instructions in the computer-readable storage medium.

[0057] In this embodiment, the computer-readable storage medium can be implemented in any suitable manner. The computer-readable storage medium includes, but is not limited to, random access memory (RAM), read-only memory (ROM), cache, hard disk drive (HDD), memory card, etc. The computer storage medium stores computer programs / instructions. This specification is implemented when the computer program instructions are executed. Figure 2 The program instructions or modules corresponding to the embodiments.

[0058] In this embodiment, the processor can be implemented in any suitable manner. For example, the processor can take the form of a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) that can be executed by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers, etc.

[0059] Furthermore, it should be noted that the acquisition of user data and device data in the IoT-based lighting control method, device, and storage medium in the embodiments of this specification all comply with the relevant provisions of national laws and regulations.

[0060] Although the process described above includes multiple operations that occur in a specific order, it should be clearly understood that these processes may include more or fewer operations, which may be executed sequentially or in parallel (e.g., using parallel processors or a multithreaded environment).

[0061] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0062] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0063] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0064] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0065] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0066] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, 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 technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0067] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of computer program products implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] The embodiments described in this specification can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. The embodiments of this specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0069] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, system embodiments are basically similar to method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments. In the description of this specification, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the embodiments in this specification. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described can be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0070] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A lighting control method based on the Internet of Things, characterized in that, include: Based on the location information of the target device, the positioning area where the target device is located is determined; The lighting control device acquires the lighting status of multiple IoT devices in the positioning area; The IoT device includes a device with light sensing capabilities; the light status includes light intensity; the IoT device can acquire its own light status; The lighting control device controls the lighting state of the target device by referring to the lighting states of the multiple IoT devices; The lighting control device is a computer device located at a remote location; The step of controlling the lighting state of the target device by referring to the lighting states of the plurality of IoT devices includes: determining the comprehensive light intensity corresponding to the positioning area based on the light sensing intensity; controlling the lighting state of the target device to be on when the comprehensive light intensity is not greater than the standard light intensity; and adjusting the lighting intensity of the target device based on the comprehensive light intensity. The lighting state also includes an on state and an off state; the step of controlling the lighting state of the target device by referring to the lighting states of the plurality of IoT devices further includes: when the number and / or proportion of IoT devices in the on state exceeds the on detection threshold, controlling the lighting state of the target device to be on state.

2. The method as described in claim 1, characterized in that, The target device includes a vehicle equipped with headlights; at least one of the IoT devices includes a vehicle in motion.

3. The method as described in claim 1, characterized in that, The positioning area includes the city where the target device is located or an area no more than a preset detection distance away from the target device.

4. The method as described in claim 1, characterized in that, Determining the location area of ​​the target device based on its location information includes: When it is detected that the current time is a lighting control period, the location area of ​​the target device is determined based on the location information of the target device.

5. The method as described in claim 1, characterized in that, Determining the location area of ​​the target device based on its location information includes: When the target device is detected to be in a dark state, the location area of ​​the target device is determined based on the location information of the target device. Accordingly, controlling the lighting state of the target device includes: Adjust the target device's lighting status from off to on.

6. The method as described in claim 1, characterized in that, Determining the location area of ​​the target device based on its location information includes: Based on the location information of the target device, determine whether the target device is in a low-light area; Accordingly, obtaining the lighting status of at least one IoT device in the positioning area includes: If the target device is determined to be in a low-light area, the lighting status of at least one IoT device in the low-light area is obtained.

7. A lighting control device based on the Internet of Things, characterized in that, include: The positioning area determination module is used to determine the positioning area where the target device is located based on the location information of the target device; A light status acquisition module is used by a light control device to acquire the light status of multiple IoT devices in the positioning area; the IoT devices include devices with light sensing functions; the light status includes light intensity; and the IoT devices can acquire their own light status. A lighting status control module is used by a lighting control device to control the lighting status of the target device by referring to the lighting status of the multiple IoT devices. The lighting control device is a computer device located at a remote location; The step of controlling the lighting state of the target device by referring to the lighting states of the plurality of IoT devices includes: determining the comprehensive light intensity corresponding to the positioning area based on the light sensing intensity; controlling the lighting state of the target device to be on when the comprehensive light intensity is not greater than the standard light intensity; and adjusting the lighting intensity of the target device based on the comprehensive light intensity. The lighting state also includes an on state and an off state; the step of controlling the lighting state of the target device by referring to the lighting states of the plurality of IoT devices further includes: when the number and / or proportion of IoT devices in the on state exceeds the on detection threshold, controlling the lighting state of the target device to be on state.

8. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed, they implement the method as described in any one of claims 1-6.

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