Intelligent lighting optimization method and device based on environment adaptation and medium

Abstract

The invention relates to a smart lighting optimization method based on environmental adaptation, and the method comprises the steps: collecting the optical conditions of all road sections received by light sensors, and enabling the light sensors to be based on the road sections; a road section-based illuminating lamp control center is constructed, the illuminating lamp control center is in communication connection with an electric power network and acquires illuminating lamp brightness, illuminating lamp models and illuminating lamp color temperatures under each road section from the electric power network, and the illuminating lamp control center is in communication connection with a meteorological platform and acquires meteorological parameters of each road section; and on the basis of the optical conditions and the meteorological parameters, the brightness and color temperature of each illuminating lamp under each road section are adjusted through the illuminating lamp control center. And optical conditions, temperature and humidity parameters, meteorological parameters and the like are acquired in different road sections, so that the urban lighting system shows an intelligent effect.

Description

Technical Field

[0001] This invention relates to the field of smart lighting technology, and in particular to a smart lighting optimization method, device, and medium based on environmental adaptation. Background Technology

[0002] Currently, smart lighting includes the intelligentization of home lighting and the intelligentization of urban lighting systems. Although many have achieved intelligent operation, manual control is still required in most cases. The popularization of the Internet of Things connects lighting systems to the network, allowing for remote control, customization, and automated management of lighting systems through a higher-level control system.

[0003] Existing smart lighting mostly refers to smart lighting in smart homes, but there are also optimizations for urban lighting systems. Taking the patent with publication number CN120379097A, entitled "A Cluster Analysis System and Method for Optimizing Regional Lighting of a Smart Lighting Lamp," as an example, it involves a system that adjusts the operating power of the lighting lamp based on the lamp's attribute information, power consumption, and lighting task execution conditions. This method provides a power-adaptive lighting effect. However, this method is not applicable when the environment changes, especially in tropical regions with variable environments. This lighting method cannot provide users with an experience based on environmental changes.

[0004] Users' experience with smart lighting can change with the environment, bringing a novel experience, but there is currently no method or device in the industry that can solve the above problems. Summary of the Invention

[0005] In view of this, the purpose of this invention is to propose a smart lighting optimization method, device and medium based on environmental adaptation.

[0006] To achieve the above objectives, this invention provides an environment-adaptive smart lighting optimization method, comprising: Based on the optical sensors set up on each road segment, the optical conditions of each road segment are collected by each optical sensor. A road segment-based lighting control center is constructed. The lighting control center is communicatively connected to the power network and obtains the lighting brightness, lighting model, and lighting color temperature of each road segment from the power network. The lighting control center is also communicatively connected to a meteorological platform and obtains meteorological parameters of each road segment. Based on the aforementioned optical conditions and meteorological parameters, the brightness and color temperature of each lighting fixture along each road section are adjusted by the lighting control center.

[0007] For another purpose of this invention, it also includes: The system acquires pedestrian data for each road segment and controls the brightness of the lights in each segment via the lighting control center based on the amount of pedestrian data.

[0008] Another objective of this invention, a smart lighting optimization method based on environment adaptation, further includes: The light sensor collects light from multiple sources. When the light intensity collected by the light sensor exceeds a preset threshold, it is determined that there are many vehicles passing through the road section at night. At this time, the light intensity of the corresponding road section is reduced by controlling the lighting control center.

[0009] Another objective of this invention, a smart lighting optimization method based on environment adaptation, further includes: The lighting control center is connected to the signal light system via communication. Determine the phase of the traffic lights in each road segment, and adjust the brightness of the lights at the corresponding traffic light positions on the current road segment based on the phase of the traffic lights.

[0010] Another objective of this invention, a smart lighting optimization method based on environment adaptation, further includes: Light sensors are installed along the road section, and temperature and humidity sensors are used to detect changes in ambient temperature and humidity. When changes in ambient temperature and humidity are detected, a special lighting scenario for the road section is triggered through the lighting control center.

[0011] Another objective of this invention, a smart lighting optimization method based on environment adaptation, further includes: Each section of the road is equipped with a dimmable driver for the lighting, which receives instructions from the lighting control center and adjusts the brightness of the lighting.

[0012] Another objective of this invention, a smart lighting optimization method based on environment adaptation, further includes: Based on the phase duration of the traffic lights in each road segment, the brightness of the lighting at the corresponding traffic light location on the road segment is set to a corresponding duration.

[0013] Another objective of this invention, a smart lighting optimization method based on environment adaptation, further includes: The lighting control center is connected to the smart city central platform via communication. When a lighting request is received from the smart city central platform, the lighting control center controls the lighting in each section of the road to respond to the lighting request.

[0014] Secondly, the present invention also includes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-described environment-adaptive smart lighting optimization method.

[0015] Thirdly, the present invention also includes a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the above-described environment-adaptive smart lighting optimization method.

[0016] As can be seen from the above, the intelligent lighting optimization method, equipment and medium based on environmental adaptation provided by the present invention differentiates the lighting by road segment and collects optical conditions, temperature and humidity parameters and meteorological parameters by road segment, so that the urban lighting system presents an intelligent effect. In the long run, it has the advantages of energy saving, good human experience, reduced maintenance costs and improved road safety. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or related technologies, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only embodiments of this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the intelligent lighting optimization method based on environment adaptation according to an embodiment of the present invention. Figure 2 This is a schematic diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0020] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this invention should have the ordinary meaning understood by those skilled in the art. The terms "first," "second," and similar terms used in the embodiments of this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "include" or "comprising" mean that the element or object preceding the term covers the element or object listed after the term and its equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "up," "down," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0021] This invention provides a smart lighting optimization method based on environmental adaptation, combining... Figure 1 The basic process diagram shown includes: In step 110, optical conditions of each road segment are collected by optical sensors based on the optical sensors installed on each road segment; The optical sensor is a non-magnetic sensor to avoid optical detection distortion caused by complex magnetic radiation on urban lighting roads. The optical conditions of the road section can be optimized to improve the brightness of the lighting.

[0022] In step 120, a road segment-based lighting control center is constructed. The lighting control center is communicatively connected to the power network and obtains the lighting brightness, lighting model, and lighting color temperature of each road segment from the power network. The lighting control center is also communicatively connected to the meteorological platform and obtains the meteorological parameters of each road segment. The lighting control center for each road segment can adapt to weather changes in urban roads, down to the segment level. Different road segments may have different weather conditions, and the addition of optical sensors enables the lighting adjustment to achieve an adaptive effect to the weather, while also providing a good lighting experience for drivers on the road.

[0023] In step 130, based on the optical conditions and meteorological parameters, the brightness and color temperature of each lamp under each road section are adjusted by the lighting control center.

[0024] Establishing a correlation between different meteorological conditions (heavy fog, heavy rain, light snow, etc.) and optimal brightness and color temperature improves the visibility of road surfaces and can further reduce road traffic accidents.

[0025] The intelligent lighting optimization method based on environmental adaptation provided by this invention differentiates lighting into road segments and collects optical conditions, temperature and humidity parameters, and meteorological parameters for each segment, resulting in an intelligent effect for the urban lighting system. In the long run, it offers advantages such as energy savings, improved user experience, reduced maintenance costs, and enhanced road safety. In feasible implementation scenarios of exemplary embodiments of the present invention, the invention further includes: The system acquires pedestrian data for each road segment and controls the brightness of the lights in each segment via the lighting control center based on the amount of pedestrian data.

[0026] When there are many pedestrians, the brightness of the lights can be increased. For example, the lights in a square can be turned up to the maximum brightness so that people in the square can get the best vision at night. When there are fewer pedestrians, such as when people in the square disperse and it is late at night, the brightness of the square lights can be reduced to the minimum to achieve the best energy saving.

[0027] In feasible implementation scenarios of exemplary embodiments of the present invention, the intelligent lighting optimization method based on environment adaptation further includes: The light sensor collects light from multiple sources. When the light intensity collected by the light sensor exceeds a preset threshold, it is determined that there are many vehicles passing through the road section at night. At this time, the light intensity of the corresponding road section is reduced by controlling the lighting control center.

[0028] For example, when there are many vehicles on the road at night, the brightness of the roadside lights can be reduced to avoid affecting drivers.

[0029] In feasible implementation scenarios of exemplary embodiments of the present invention, the intelligent lighting optimization method based on environment adaptation further includes: The lighting control center is connected to the signal light system via communication. Determine the phase of the traffic lights in each road segment, and adjust the brightness of the lights at the corresponding traffic light positions on the current road segment based on the phase of the traffic lights.

[0030] For example, when the traffic light is red, the brightness of the lights is increased at night to provide a visual reminder to drivers. In a feasible implementation scenario of this exemplary embodiment, the brightness of the lights at the corresponding traffic light positions on each road segment is set to a corresponding duration based on the phase duration of the traffic lights on each road segment, in order to remind pedestrians on the road segment.

[0031] In feasible implementation scenarios of exemplary embodiments of the present invention, the intelligent lighting optimization method based on environment adaptation further includes: Light sensors are installed along the road section, and temperature and humidity sensors are used to detect changes in ambient temperature and humidity. When changes in ambient temperature and humidity are detected, a special lighting scenario for the road section is triggered through the lighting control center.

[0032] For example, in tropical cities where humidity fluctuates greatly, lighting can be set to a rhythmic mode during storms or heavy rain to alert pedestrians or vehicles on the road to take timely shelter and ensure road and city safety.

[0033] In feasible implementation scenarios of exemplary embodiments of the present invention, the intelligent lighting optimization method based on environment adaptation further includes: Each section of the road is equipped with a dimmable driver to receive commands from the lighting control center and adjust the brightness of the lights. The dimming drivers facilitate adjustment via the central lighting control system.

[0034] In feasible implementation scenarios of exemplary embodiments of the present invention, the intelligent lighting optimization method based on environment adaptation further includes: The lighting control center is connected to the smart city central platform via communication. When a lighting request is received from the smart city central platform, the lighting control center controls the lighting in each section of the road to respond to the lighting request.

[0035] Based on the needs of the smart city center platform, the lighting of each road section can be managed. For example, during nighttime aerial photography, the brightness of the lighting can be adjusted to create a special pattern.

[0036] It should be noted that the method of this embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied to distributed scenarios, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this embodiment, and these multiple devices will interact with each other to complete the described environment-adaptive smart lighting optimization method.

[0037] It should be noted that the above description describes some embodiments of the present invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than that shown in the above embodiments and still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0038] Figure 2 This embodiment illustrates a more specific hardware structure of an electronic device, which may include a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, memory 1020, input / output interface 1030, and communication interface 1040 are interconnected internally via the bus 1050.

[0039] The processor 1010 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, 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 specification.

[0040] The memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0041] The input / output interface 1030 is used to connect input / output modules to realize information input and output. Input / output modules can be configured as components within the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touchscreens, microphones, various sensors, etc., while output devices may include displays, speakers, vibrators, indicator lights, etc.

[0042] The communication interface 1040 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0043] Bus 1050 includes a pathway for transmitting information between various components of the device, such as processor 1010, memory 1020, input / output interface 1030, and communication interface 1040.

[0044] It should be noted that although the above-described device only shows the processor 1010, memory 1020, input / output interface 1030, communication interface 1040, and bus 1050, in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0045] The electronic devices described above are used to implement the corresponding environment-adaptive smart lighting optimization methods in any of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0046] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, the present invention also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the environment-adaptive smart lighting optimization method as described in any of the above embodiments.

[0047] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, program modules, 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-transfer medium that can be used to store information accessible by a computing device.

[0048] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to execute the signal quality control method of the communication device in a multi-magnetic environment as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0049] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples; within the framework of the invention, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the embodiments of the invention as described above, which are not provided in the details for the sake of brevity.

[0050] Additionally, to simplify the description and discussion, and to avoid obscuring the embodiments of the invention, the well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided drawings. Furthermore, the apparatus may be shown in block diagram form to avoid obscuring the embodiments of the invention, and this also takes into account the fact that the details of implementation of these block diagram apparatuses are highly dependent on the platform on which the embodiments of the invention will be implemented (i.e., these details should be fully understood by those skilled in the art). While specific details (e.g., circuits) have been set forth to describe exemplary embodiments of the invention, it will be apparent to those skilled in the art that the embodiments of the invention may be implemented without these specific details or with variations thereof. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0051] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples; within the framework of the invention, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the embodiments of the invention as described above, which are not provided in the details for the sake of brevity.

[0052] The embodiments of this invention are intended to cover all such substitutions, modifications, and variations falling within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the embodiments of this invention should be included within the protection scope of this invention.

Claims

1. A method for intelligent lighting optimization based on environment adaptation, characterized in that, The environment-adaptive intelligent lighting optimization method comprises the following steps: Collecting optical conditions of each road section received by a light sensor, each light sensor being based on road section settings; Building a lighting lamp control center based on road sections, the lighting lamp control center being communicatively connected to a power network and obtaining lighting lamp brightness, lighting lamp models and lighting lamp color temperatures of each road section from the power network, the lighting lamp control center being communicatively connected to a meteorological platform and obtaining meteorological parameters of each road section; Adjusting the brightness and color temperature of each lighting lamp under each road section by the lighting lamp control center based on the optical conditions and meteorological parameters.

2. The method for environment adaptation based intelligent lighting optimization as claimed in claim 1, wherein, Further comprising: Obtaining pedestrian data of each road section, and controlling the brightness of the lighting lamp of each road section by the lighting lamp control center according to the amount of pedestrian data. 3.The environment adaptation based intelligent lighting optimization method of claim 1, wherein, Further comprising: Collecting multi-source light by the light sensor, and when the brightness of the light collected by the light sensor exceeds a preset threshold, determining that there are many vehicles passing through the road section at night, and then controlling the brightness of the lighting lamp under the corresponding road section to be reduced by the lighting lamp control center.

4. The method for environment adaptation based intelligent lighting optimization as claimed in claim 1, wherein, Further comprising: The lighting lamp control center is communicatively connected to a signal lamp system; Determining the phase of the signal lamp under each road section, and adjusting the brightness of the lighting lamp at the position of the corresponding signal lamp on the current road section according to the phase of the signal lamp.

5. The method for environment adaptation based intelligent lighting optimization as claimed in claim 1 wherein, Further comprising: The light sensor is set based on the road section, and the temperature and humidity sensor senses the change of the temperature and humidity of the environment; When the change of the temperature and humidity of the environment is sensed, the lighting lamp control center triggers the special lighting scene of the road section.

6. The method for environment adaptation based intelligent lighting optimization as claimed in claim 1 wherein, Further comprising: The lighting lamp of each road section is provided with an adjustable light driver for receiving the instruction of the lighting lamp control center and adjusting the brightness of the lighting lamp.

7. The method for environment adaptation based intelligent lighting optimization as claimed in claim 4, wherein, Further comprising: According to the phase length of the signal lamp under each road section, the brightness of the lighting lamp at the position of the corresponding signal lamp on the road section is set to a corresponding length.

8. The method for environment adaptation based intelligent lighting optimization as claimed in claim 1 wherein, Further comprising: The lighting lamp control center is communicatively connected to a smart city center platform; When receiving the lighting demand of the smart city center platform, the lighting lamp of each road section is controlled by the lighting lamp control center to respond to the lighting demand. 9.An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the environment-adaptive intelligent lighting optimization method according to any one of claims 1 to 8 when executing the program. 10.A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the environment-adaptive intelligent lighting optimization method according to any one of claims 1 to 8.

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