Illumination angle self-adaptive adjusting method and system of LED lamp

Abstract

The invention relates to an illumination angle self-adaptive adjusting method and system for an LED lamp, and the method comprises the steps: obtaining the natural illumination intensity of the position where the LED lamp is located and the voltage signal change of the LED lamp at a corresponding moment, and analyzing the illumination condition relation between the natural illumination intensity change and the corresponding voltage signal change value; adjusting the lamp illumination intensity of the LED lamp according to preset comprehensive illumination intensity and the illumination condition relationship to obtain LED lamp illumination adjustment data coordinated with the natural illumination intensity change, performing data training on the LED lamp illumination adjustment data, constructing an illumination adaptive model for adaptive adjustment of the LED lamp illumination along with the natural light intensity, and obtaining the LED lamp illumination adjustment data. And acquiring personnel activity data of the position where the LED lamp is located, and inputting the personnel activity data into the illumination adaptive model for adaptive adjustment of the illumination angle of the LED lamp to obtain illumination angle adjustment data of the LED lamp. The method has the effect of improving the adaptability of adjusting and controlling the illumination angle of the LED lamp.

Description

Technical Field

[0001] The present application relates to the technical field of LED lamp control, and in particular to a method and system for adaptively adjusting the illumination angle of an LED lamp. Background Art

[0002] At present, with the innovation and application of lighting technology, especially the rapid development of LED lighting technology, the traditional lighting industry has been greatly impacted and changed. Therefore, it is necessary to better handle the irradiation angle of LED lamps.

[0003] The illumination angle of existing LED lamps is usually changed by manually adjusting the LED lamp cover to rotate the lamp cover, or by installing an adjustable angle adjustment screw or turntable, and manually rotating the screw or manually turning the adjustment turntable to make the LED illuminate to a desired position. However, personnel are required to continuously adjust the LED lamp to achieve the purpose of rotating the LED lamp, and personnel are required to always pay attention to changes in the surrounding environment to adjust the LED lamp, which is not only cumbersome but also consumes a lot of manpower and material resources, and even exceeds the illumination value of the LED lamp itself. Therefore, the illumination angle control method of the LED lamp needs to be further optimized. Summary of the invention

[0004] In order to improve the adaptability of the illumination angle adjustment control of the LED lamp and improve the illumination angle adjustment accuracy of the LED lamp, the present application provides an illumination angle adaptive adjustment method and system of the LED lamp.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0006] A method for adaptively adjusting the illumination angle of an LED lamp, comprising:

[0007] Obtain the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and analyze the relationship between the light condition change of the natural light intensity and the corresponding voltage signal change value;

[0008] According to the preset comprehensive light intensity and the relationship between the light conditions, the light intensity of the LED lamp is adjusted to obtain light adjustment data of the LED lamp that is coordinated with the change of natural light intensity;

[0009] Performing data training on the illumination adjustment data of the LED lamp to construct an illumination adaptive model for adaptively adjusting the illumination of the LED lamp according to the intensity of natural light;

[0010] The personnel activity data at the location of the LED lamp is obtained, and the personnel activity data is input into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, so as to obtain illumination angle adjustment data of the LED lamp.

[0011] In a preferred example, the present application can be further configured as follows: the data training of the LED lamp illumination adjustment data is performed to construct an illumination adaptive model for LED lamp illumination adaptively adjusting according to natural light intensity, specifically including:

[0012] Formula (1) is used to express the expression of LED lamp illumination adaptively adjusting with the intensity of natural light in the illumination adaptive model. Formula (1) is as follows:

[0013]

[0014] Among them, z(x) represents the adaptive illumination adjustment function value of the LED lamp, C max Indicates the maximum light intensity value of the LED lamp, L N Indicates the natural light intensity, L max , L min They represent the shutdown threshold and startup threshold of the LED lamp for adaptive adjustment, f(x) represents the function expression of the output light intensity of the LED street lamp, n represents the number of adjustable angles of the LED lamp, v i represents the illumination change weight of the i-th adjustment angle of the LED lamp, ω i 、x i They respectively represent the illumination bias coefficient and the related LED illumination value corresponding to the ith adjustment angle of the LED lamp, γ represents the illumination deviation value caused by the change of the voltage signal when the LED lamp is adjusted to the ith adjustment angle, and β represents the bias coefficient of the change of the natural light intensity at the location of the LED lamp.

[0015] In a preferred example, the present application can be further configured as follows: the acquisition of the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and the analysis of the lighting condition relationship between the natural light intensity change and the corresponding voltage signal change value specifically include:

[0016] The function expression related to the relationship between the change in natural light intensity and the corresponding change in the voltage signal value is expressed by formula (2), and formula (2) is as follows:

[0017]

[0018] Where E represents the functional expression of the relationship between the lighting conditions, m represents the amount of voltage signal change under the influence of changes in natural light intensity, and u jrepresents the jth voltage signal change value, L(t) represents the change in natural light intensity at time t, and λ j Indicates the bias value of the jth voltage signal of the LED lamp affected by changes in natural light intensity.

[0019] By adopting the above technical scheme, when adjusting the illumination angle of the LED lamp, the illumination condition relationship of the LED lamp is constructed by combining the natural light intensity and the voltage signal change caused by the change of natural light intensity, which is helpful for correlation analysis of external conditions that affect the LED illumination angle, and adjusting the illumination intensity of the LED lamp by combining the preset comprehensive light intensity as a reference, which helps to ensure that the LED lamp is always within the comprehensive light intensity range for stable illumination, improve the coordination between the illumination intensity of the LED lamp and the change of natural light intensity, and adaptively adjust the illumination of the LED lamp through the illumination adaptive model to improve the convenience of illumination adjustment of the LED lamp, combine the illumination angle adjustment with the personnel activity data to improve the adaptability of illumination adjustment of the LED lamp, and perform dual adjustment of the illumination angle and illumination intensity according to the personnel activity situation to improve the accuracy of illumination angle adjustment of the LED lamp.

[0020] In a preferred example, the present application can be further configured as follows: the obtaining of personnel activity data at the location of the LED lamp, inputting the personnel activity data into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, and obtaining illumination angle adjustment data of the LED lamp, specifically including:

[0021] When the number of active persons at the location of the LED lamp is one person, the activity trajectory and movement speed of the single person are obtained, and the light offset angle corresponding to the next movement position of the person is calculated according to the activity trajectory and movement speed of the single person;

[0022] According to the illumination deviation angle, the next illumination angle of the LED lamp following the activity track of the single person is calculated, and the current illumination angle of the LED lamp is adaptively adjusted according to the next illumination angle to obtain the single-person illumination angle adjustment data of the LED lamp.

[0023] In a preferred example, the present application can be further configured as follows: the personnel activity data at the location of the LED lamp is obtained, the personnel activity data is input into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, and the illumination angle adjustment data of the LED lamp is obtained, and further includes:

[0024] When there are multiple people at the location of the LED lamp, obtain personnel distribution data and personnel flow direction, and predict the next personnel distribution trend based on the personnel distribution data and the personnel flow direction;

[0025] According to the personnel distribution data, the irradiation range value of the LED lamp is calculated and the irradiation aperture of the LED lamp is adjusted accordingly to obtain the irradiation angle adjustment data of the LED lamp for multiple people;

[0026] According to the next personnel distribution trend, the irradiation range and irradiation angle of the current irradiation aperture are synchronously adjusted to obtain multi-person mobile irradiation adjustment data corresponding to the next personnel distribution trend.

[0027] By adopting the above technical scheme, corresponding LED lamp adjustment modes are selected according to the number of different active persons, which helps to improve the control accuracy of LED lamps. When the number of active persons is only one, the illumination angle of the LED lamp is adaptively adjusted in combination with the illumination offset angle related to the activity trajectory of the single person, which helps to keep the activity trajectory of the single person always within the illumination range of the LED lamp, improve the synchronization between the illumination angle of the LED lamp and the activity trajectory of the person, carry out directionally tracking and irradiation of the person, and improve the illumination accuracy of the LED lamp. When the number of active persons is multiple, it is impossible to carry out directionally tracking and irradiation of the person. Therefore, the next distribution trend of the person is predicted by data such as the distribution of the person and the direction of the flow of the person, so as to adjust the illumination range of the LED lamp, so that the LED lamp can perform range illumination and move illumination along with the next distribution trend of the person, thereby expanding the application range of the LED lamp.

[0028] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions:

[0029] An adaptive adjustment system for the illumination angle of an LED lamp, comprising:

[0030] A data acquisition module is used to obtain the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and analyze the relationship between the light condition between the natural light intensity change and the corresponding voltage signal change value;

[0031] A data analysis module, used to adjust the lighting intensity of the LED lamp according to the preset comprehensive lighting intensity and the lighting condition relationship, and obtain the LED lamp lighting adjustment data coordinated with the change of natural lighting intensity;

[0032] A model building module, used to perform data training on the illumination adjustment data of the LED lamp, and to build an illumination adaptive model for adaptively adjusting the illumination of the LED lamp according to the intensity of natural light;

[0033] The angle adjustment module is used to obtain the personnel activity data at the location of the LED lamp, input the personnel activity data into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, and obtain the illumination angle adjustment data of the LED lamp.

[0034] By adopting the above technical scheme, when adjusting the illumination angle of the LED lamp, the illumination condition relationship of the LED lamp is constructed by combining the natural light intensity and the voltage signal change caused by the change of natural light intensity, which is helpful for correlation analysis of external conditions that affect the LED illumination angle, and adjusting the illumination intensity of the LED lamp by combining the preset comprehensive light intensity as a reference, which helps to ensure that the LED lamp is always within the comprehensive light intensity range for stable illumination, improve the coordination between the illumination intensity of the LED lamp and the change of natural light intensity, and adaptively adjust the illumination of the LED lamp through the illumination adaptive model to improve the convenience of illumination adjustment of the LED lamp, combine the illumination angle adjustment with the personnel activity data to improve the adaptability of illumination adjustment of the LED lamp, and perform dual adjustment of the illumination angle and illumination intensity according to the personnel activity situation to improve the accuracy of illumination angle adjustment of the LED lamp.

[0035] On the third aspect, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0036] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for adaptively adjusting the illumination angle of an LED lamp when executing the computer program.

[0037] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0038] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for adaptively adjusting the illumination angle of an LED lamp are implemented.

[0039] In summary, the present application includes at least one of the following beneficial technical effects:

[0040] 1. When adjusting the illumination angle of LED lamps, the illumination condition relationship of LED lamps is constructed by combining the natural light intensity and the voltage signal change caused by the change of natural light intensity, which is helpful for correlation analysis of external conditions that affect the LED illumination angle, and adjusting the illumination intensity of LED lamps by combining the preset comprehensive light intensity as a reference, which is helpful for making the LED lamps always within the comprehensive light intensity range for stable illumination, improving the coordination between the illumination intensity of LED lamps and the change of natural light intensity, and adaptively adjusting the illumination of LED lamps through the illumination adaptive model, improving the convenience of illumination adjustment of LED lamps, combining the illumination angle adjustment with the personnel activity data, improving the adaptability of illumination adjustment of LED lamps, and performing dual adjustment of illumination angle and illumination intensity according to the personnel activity situation, improving the accuracy of illumination angle adjustment of LED lamps;

[0041] 2. Selecting the corresponding LED lamp adjustment mode according to the number of different active people will help improve the control accuracy of the LED lamp. When the number of active people is only one, the LED lamp's illumination angle is adaptively adjusted in combination with the light offset angle related to the single-person activity trajectory, which helps to keep the single-person activity trajectory always within the illumination range of the LED lamp, improve the synchronization between the LED lamp's illumination angle and the person's activity trajectory, and perform directional tracking and illumination of the personnel to improve the illumination accuracy of the LED lamp. When the number of active people is multiple, it is impossible to perform directional tracking and illumination of the personnel. Therefore, the next personnel distribution trend is predicted through data such as personnel distribution and personnel flow direction, so as to adjust the illumination range of the LED lamp, so that the LED lamp can perform range illumination and move illumination along with the next personnel distribution trend, thereby expanding the application range of the LED lamp. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flow chart of an implementation method of an adaptive adjustment method of the illumination angle of an LED lamp in this embodiment.

[0043] Figure 2 This is a flow chart of the implementation of the illumination angle adaptive adjustment method of this embodiment for single-person activity illumination adjustment.

[0044] Figure 3 This is a flow chart of the implementation of the illumination angle adaptive adjustment method of this embodiment for illumination adjustment for multi-person activities.

[0045] Figure 4 This is a structural block diagram of an illumination angle adaptive adjustment system for an LED lamp in this embodiment.

[0046] Figure 5 The present invention is a schematic diagram of the internal structure of a computer device for realizing a method for adaptively adjusting the illumination angle of an LED lamp. DETAILED DESCRIPTION

[0047] The present application is further described in detail below in conjunction with the accompanying drawings.

[0048] In one embodiment, if Figure 1 As shown, the present application discloses a method for adaptively adjusting the illumination angle of an LED lamp, which specifically includes the following steps:

[0049] S10: Obtain the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and analyze the relationship between the natural light intensity change and the corresponding voltage signal change value.

[0050] Specifically, the natural light intensity at the location of the LED lamp is collected by a photometer mounted on the LED lamp, and the voltage signal change data when the natural light intensity changes is collected by a voltmeter, and the lighting condition relationship between the natural light intensity change and the corresponding voltage signal change value is constructed. In this embodiment, the function expression related to the lighting condition relationship between the natural light intensity change and the corresponding voltage signal change value is expressed by formula (2), and formula (2) is as follows:

[0051]

[0052] Where E represents the functional expression of the relationship between the lighting conditions, m represents the amount of voltage signal change under the influence of changes in natural light intensity, and u j represents the jth voltage signal change value, L(t) represents the change in natural light intensity at time t, and λ j Indicates the bias value of the jth voltage signal of the LED lamp affected by changes in natural light intensity.

[0053] S20: According to the preset relationship between the comprehensive light intensity and the light condition, the light intensity of the LED lamp is adjusted to obtain the light adjustment data of the LED lamp coordinated with the change of the natural light intensity.

[0054] Specifically, within the allowable fluctuation range, the sum of the lamp light intensity of the LED lamp and the natural light intensity is equal to the preset comprehensive light intensity. Therefore, the lamp light intensity in the ideal state is obtained by subtracting the natural light intensity and the lamp light intensity deviation caused by the voltage signal change from the comprehensive light intensity, thereby adjusting the real-time lamp light intensity of the LED lamp to obtain LED lamp light adjustment data that is coordinated with the change in natural light intensity.

[0055] S30: Performing data training on the illumination adjustment data of LED lamps, and constructing an illumination adaptive model for adaptively adjusting the illumination of LED lamps according to the intensity of natural light.

[0056] Specifically, step S30 includes:

[0057] Formula (1) is used to express the expression of LED lamp illumination adaptively adjusting with the intensity of natural light in the illumination adaptive model. Formula (1) is as follows:

[0058]

[0059] Among them, z(x) represents the adaptive illumination adjustment function value of the LED lamp, C max Indicates the maximum light intensity value of the LED lamp, L N Indicates the natural light intensity, L max , L minThey represent the shutdown threshold and startup threshold of the LED lamp for adaptive adjustment, f(x) represents the function expression of the output light intensity of the LED street lamp, n represents the number of adjustable angles of the LED lamp, v i represents the illumination change weight of the i-th adjustment angle of the LED lamp, ω i 、x i They respectively represent the illumination bias coefficient and the related LED illumination value corresponding to the ith adjustment angle of the LED lamp, γ represents the illumination deviation value caused by the change of the voltage signal when the LED lamp is adjusted to the ith adjustment angle, and β represents the bias coefficient of the change of the natural light intensity at the location of the LED lamp.

[0060] S40: acquiring personnel activity data at the location of the LED lamp, inputting the personnel activity data into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, and obtaining illumination angle adjustment data of the LED lamp.

[0061] Specifically, Figure 2 As shown, step S40 includes:

[0062] S401: When the number of active persons at the location of the LED lamp is only one person, the activity trajectory and movement speed of the single person are obtained, and the illumination offset angle corresponding to the next movement position of the person is calculated according to the activity trajectory and movement speed of the single person.

[0063] Specifically, the number of active persons at the location of the LED lamp is detected by infrared. When the number of active persons is detected to be only one, the activity trajectory and movement speed of the single person are obtained. The illumination distance and illumination angle change between the current position and the next movement position of the person and the LED lamp are calculated according to the activity trajectory and movement speed of the single person, thereby calculating the illumination offset angle of the next movement position.

[0064] S402: Calculate the next illumination angle of the LED lamp following the activity track of the single person according to the illumination offset angle, and adaptively adjust the current illumination angle of the LED lamp according to the next illumination angle to obtain the single person illumination angle adjustment data of the LED lamp.

[0065] Specifically, the next illumination angle of the LED lamp following the activity trajectory of a single person is calculated based on the illumination offset angle. For example, the illumination offset angle is rotated according to the moving direction of the online person at the current illumination angle to obtain the next illumination angle, so that when the person reaches the next movement position, the illumination light of the LED lamp can be synchronized.

[0066] In this embodiment, Figure 3 As shown, it also includes:

[0067] S403: When there are multiple people at the location of the LED lamp, obtain personnel distribution data and personnel flow direction, and predict the next personnel distribution trend based on the personnel distribution data and personnel flow direction.

[0068] Specifically, when it is detected that there are multiple active people at the location where the LED lamp is located, the distribution of people and the direction of their flow are obtained. The location with the highest density of people is taken as the illumination center of the LED lamp, and the direction of the flow of most people is taken as the mainstream direction. The mainstream direction is taken as the moving trend of the next personnel distribution trend, thereby predicting the next personnel distribution trend.

[0069] S404: Calculate the illumination range value of the LED lamp according to the personnel distribution data and adjust the illumination aperture of the LED lamp accordingly to obtain the multi-person illumination angle adjustment data of the LED lamp.

[0070] Specifically, according to the personnel distribution data, the illumination range value of the LED lamp is calculated. For example, the distance between the outermost personnel in the personnel distribution and the concentrated position of the personnel is planned as the radius to obtain the maximum illumination range value. The personnel and the concentrated position are taken as the illumination center of the LED lamp, and the illumination aperture of the LED lamp is diffused in the direction of the maximum illumination range. Therefore, the illumination aperture of the LED lamp is adjusted accordingly according to the maximum illumination range value to obtain the illumination angle adjustment data of the LED lamp for multiple people.

[0071] S405: According to the next personnel distribution trend, the irradiation range and irradiation angle of the current irradiation aperture are synchronously adjusted to obtain multi-person mobile irradiation adjustment data corresponding to the next personnel distribution trend.

[0072] Specifically, according to the next personnel distribution trend, the illumination range and illumination angle of the current illumination aperture are synchronously adjusted so that the illumination center of the LED lamp always corresponds to the concentrated position of the personnel and all personnel are within the illumination range, thereby obtaining multi-person mobile illumination adjustment data corresponding to the next personnel distribution trend.

[0073] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0074] In one embodiment, a system for adaptively adjusting the illumination angle of an LED lamp is provided, and the system for adaptively adjusting the illumination angle of an LED lamp corresponds one-to-one to the method for adaptively adjusting the illumination angle of an LED lamp in the above embodiment. Figure 4 As shown, the LED lamp's illumination angle adaptive adjustment system includes a data acquisition module, a data analysis module, a model building module and an angle adjustment module. The detailed description of each functional module is as follows:

[0075] The data acquisition module is used to obtain the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and analyze the lighting condition relationship between the natural light intensity change and the corresponding voltage signal change value.

[0076] The data analysis module is used to adjust the lighting intensity of the LED lamp according to the preset comprehensive lighting intensity and lighting condition relationship, and obtain the LED lamp lighting adjustment data coordinated with the change of natural light intensity.

[0077] The model building module is used to train the lighting adjustment data of LED lamps and build a lighting adaptive model that can adaptively adjust the lighting of LED lamps according to the intensity of natural light.

[0078] The angle adjustment module is used to obtain the personnel activity data at the location of the LED lamp, input the personnel activity data into the lighting adaptive model to perform adaptive adjustment of the LED lamp's irradiation angle, and obtain the LED lamp's irradiation angle adjustment data.

[0079] Preferably, the angle adjustment module specifically includes:

[0080] The offset analysis submodule is used to obtain the activity trajectory and movement speed of a single person when the number of active persons at the location of the LED lamp is a single person, and calculate the lighting offset angle corresponding to the next movement position of the person based on the activity trajectory and movement speed of the single person.

[0081] The single-person illumination adjustment submodule is used to calculate the next illumination angle of the LED lamp following the activity trajectory of a single person according to the illumination offset angle, and adaptively adjust the current illumination angle of the LED lamp according to the next illumination angle to obtain the single-person illumination angle adjustment data of the LED lamp.

[0082] Preferably, the angle adjustment module further comprises:

[0083] The personnel distribution analysis submodule is used to obtain personnel distribution data and personnel flow direction when there are multiple active personnel at the location of the LED lamp, and predict the next personnel distribution trend based on the personnel distribution data and personnel flow direction.

[0084] The irradiation range adjustment submodule is used to calculate the irradiation range value of the LED lamp according to the personnel distribution data and adjust the irradiation aperture of the LED lamp accordingly, so as to obtain the irradiation angle adjustment data of the LED lamp for multiple people.

[0085] The mobile illumination adjustment submodule is used to synchronously adjust the illumination range and illumination angle of the current illumination aperture according to the next personnel distribution trend, and obtain multi-person mobile illumination adjustment data corresponding to the next personnel distribution trend.

[0086] Preferably, the model building module specifically includes:

[0087] Formula (1) is used to express the expression of LED lamp illumination adaptively adjusting with the intensity of natural light in the illumination adaptive model. Formula (1) is as follows:

[0088]

[0089] Among them, z(x) represents the adaptive illumination adjustment function value of the LED lamp, C max Indicates the maximum light intensity value of the LED lamp, L N Indicates the natural light intensity, L max , L min They represent the shutdown threshold and startup threshold of the LED lamp for adaptive adjustment, f(x) represents the function expression of the output light intensity of the LED street lamp, n represents the number of adjustable angles of the LED lamp, v i represents the illumination change weight of the i-th adjustment angle of the LED lamp, ω i 、x i They respectively represent the illumination bias coefficient and the related LED illumination value corresponding to the ith adjustment angle of the LED lamp, γ represents the illumination deviation value caused by the change of the voltage signal when the LED lamp is adjusted to the ith adjustment angle, and β represents the bias coefficient of the change of the natural light intensity at the location of the LED lamp.

[0090] Preferably, the data acquisition module specifically includes:

[0091] The function expression related to the relationship between the change in natural light intensity and the corresponding change in the voltage signal value is expressed by formula (2), and formula (2) is as follows:

[0092]

[0093] Where E represents the functional expression of the relationship between the lighting conditions, m represents the amount of voltage signal change under the influence of changes in natural light intensity, and u j represents the jth voltage signal change value, L(t) represents the change in natural light intensity at time t, and λ j Indicates the bias value of the jth voltage signal of the LED lamp affected by changes in natural light intensity.

[0094] For the specific definition of the adaptive adjustment system of the illumination angle of the LED lamp, please refer to the definition of the adaptive adjustment method of the illumination angle of the LED lamp above, which will not be repeated here. Each module in the adaptive adjustment system of the illumination angle of the LED lamp can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0095] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the illumination angle adaptive adjustment data of the LED lamp. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for adaptively adjusting the illumination angle of an LED lamp is implemented.

[0096] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method for adaptively adjusting the illumination angle of an LED lamp are implemented.

[0097] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0098] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0099] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for adaptively adjusting the illumination angle of an LED lamp, characterized in that: include: Obtain the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and analyze the relationship between the light condition change of the natural light intensity and the corresponding voltage signal change value; According to the preset comprehensive light intensity and the relationship between the light conditions, the light intensity of the LED lamp is adjusted to obtain light adjustment data of the LED lamp that is coordinated with the change of natural light intensity; Performing data training on the illumination adjustment data of the LED lamp to construct an illumination adaptive model for adaptively adjusting the illumination of the LED lamp according to the intensity of natural light; The personnel activity data at the location of the LED lamp is obtained, and the personnel activity data is input into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, so as to obtain illumination angle adjustment data of the LED lamp.

2. The method for adaptively adjusting the illumination angle of an LED lamp according to claim 1, characterized in that: The step of acquiring the personnel activity data at the location of the LED lamp, inputting the personnel activity data into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, and obtaining the illumination angle adjustment data of the LED lamp specifically includes: When the number of active persons at the location of the LED lamp is one person, the activity trajectory and movement speed of the single person are obtained, and the light offset angle corresponding to the next movement position of the person is calculated according to the activity trajectory and movement speed of the single person; According to the illumination deviation angle, the next illumination angle of the LED lamp following the activity track of the single person is calculated, and the current illumination angle of the LED lamp is adaptively adjusted according to the next illumination angle to obtain the single-person illumination angle adjustment data of the LED lamp.

3. The method for adaptively adjusting the illumination angle of an LED lamp according to claim 2, characterized in that: The step of acquiring the personnel activity data at the location of the LED lamp, inputting the personnel activity data into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, and obtaining the illumination angle adjustment data of the LED lamp, further includes: When there are multiple people at the location of the LED lamp, obtain personnel distribution data and personnel flow direction, and predict the next personnel distribution trend based on the personnel distribution data and the personnel flow direction; According to the personnel distribution data, the irradiation range value of the LED lamp is calculated and the irradiation aperture of the LED lamp is adjusted accordingly to obtain the irradiation angle adjustment data of the LED lamp for multiple people; According to the next personnel distribution trend, the irradiation range and irradiation angle of the current irradiation aperture are synchronously adjusted to obtain multi-person mobile irradiation adjustment data corresponding to the next personnel distribution trend.

4. The method for adaptively adjusting the illumination angle of an LED lamp according to claim 1, characterized in that: The step of training the LED lamp illumination adjustment data to construct an illumination adaptive model for adaptively adjusting the illumination of the LED lamp according to the intensity of natural light specifically includes: Formula (1) is used to express the expression of LED lamp illumination adaptively adjusting with the intensity of natural light in the illumination adaptive model. Formula (1) is as follows: Among them, z(x) represents the adaptive illumination adjustment function value of the LED lamp, C max Indicates the maximum light intensity value of the LED lamp, L N Indicates the natural light intensity, L max , L min They represent the shutdown threshold and startup threshold of the LED lamp for adaptive adjustment, f(x) represents the function expression of the output light intensity of the LED street lamp, n represents the number of adjustable angles of the LED lamp, v i represents the illumination change weight of the i-th adjustment angle of the LED lamp, ω i 、x i They respectively represent the illumination bias coefficient and the related LED illumination value corresponding to the ith adjustment angle of the LED lamp, γ represents the illumination deviation value caused by the change of the voltage signal when the LED lamp is adjusted to the ith adjustment angle, and β represents the bias coefficient of the change of the natural light intensity at the location of the LED lamp.

5. The method for adaptively adjusting the illumination angle of an LED lamp according to claim 1, characterized in that: The obtaining of the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and analyzing the relationship between the natural light intensity change and the corresponding voltage signal change value, specifically includes: The function expression related to the relationship between the change in natural light intensity and the corresponding change in the voltage signal value is expressed by formula (2), and formula (2) is as follows: Where E represents the functional expression of the relationship between the lighting conditions, m represents the amount of voltage signal change under the influence of changes in natural light intensity, and u j represents the jth voltage signal change value, L(t) represents the change in natural light intensity at time t, and λ j Indicates the bias value of the jth voltage signal of the LED lamp affected by changes in natural light intensity.

6. An adaptive adjustment system for the illumination angle of an LED lamp, characterized in that: include: A data acquisition module is used to obtain the natural light intensity at the location of the LED lamp and the voltage signal change of the LED lamp at the corresponding moment, and analyze the relationship between the light condition between the natural light intensity change and the corresponding voltage signal change value; A data analysis module, used to adjust the lighting intensity of the LED lamp according to the preset comprehensive lighting intensity and the lighting condition relationship, and obtain the LED lamp lighting adjustment data coordinated with the change of natural lighting intensity; A model building module, used to perform data training on the illumination adjustment data of the LED lamp, and to build an illumination adaptive model for the LED lamp to adaptively adjust the illumination according to the natural light intensity; The angle adjustment module is used to obtain the personnel activity data at the location of the LED lamp, input the personnel activity data into the illumination adaptive model to perform adaptive adjustment of the illumination angle of the LED lamp, and obtain the illumination angle adjustment data of the LED lamp.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for adaptively adjusting the illumination angle of the LED lamp according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for adaptively adjusting the illumination angle of an LED lamp as claimed in any one of claims 1 to 5 are implemented.

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