Field illuminating lamp and light-emitting element position optimization method thereof

Abstract

The invention provides a site lighting lamp and a light-emitting element position optimization method thereof, and belongs to the technical field of site lighting, the site lighting lamp comprises a pressing plate, a glass screen, a shell assembly and a rear cover, a lens, a lens support, a lens pressing plate, an LED printed board assembly and a driving printed board assembly are arranged in the shell assembly, and the LED printed board assembly is provided with a light-emitting element. The positions of the light-emitting elements are determined through a cordyceps sinensis optimization algorithm; the lens is fixed in the shell assembly through the lens support and the lens pressing plate. The rear cover is fixedly installed on the back side of the shell assembly, the friendly mode switch and the potentiometer are arranged on the rear cover, installation interfaces are reserved in the shell assembly and the rear cover, the friendly mode switch and the potentiometer are connected with the driving printed board assembly through wires, and the driving printed board assembly is connected with the LED printed board assembly. And the potentiometer dynamically adjusts the brightness by controlling the driving printed board assembly to output current. According to the scheme, the lighting effect and the energy utilization efficiency of the field lighting lamp are improved.

Description

Technical Field

[0001] This application relates to the field of site lighting technology, and in particular to a site lighting lamp and a method for optimizing the position of its light-emitting element. Background Technology

[0002] With the continuous development of lighting technology, LED light sources are increasingly widely used in various fields due to their significant advantages such as high efficiency, energy saving, environmental protection, and long lifespan. In the field of site lighting, the diversity of working environments places higher demands on the functionality of site lighting fixtures. Current site lighting fixtures have poor beam uniformity and their brightness cannot be flexibly adjusted. Therefore, it is necessary to research a site lighting fixture with uniform light distribution and adjustable brightness to meet the requirements of different working scenarios. Summary of the Invention

[0003] In view of this, embodiments of this application provide a site lighting lamp and a method for optimizing the position of its light-emitting element, which at least partially solves the problems of poor beam uniformity and unadjustable brightness of site lighting lamps in the prior art.

[0004] In a first aspect, embodiments of this application provide a site lighting lamp, including a pressure plate, a glass screen, a housing assembly, and a back cover. The housing assembly contains a lens, a lens bracket, a lens pressure plate, an LED printed circuit board assembly, and a driver printed circuit board assembly. The LED printed circuit board assembly has multiple light-emitting elements, the positions of which are determined by a Cordyceps sinensis optimization algorithm. The lens is fixed inside the housing assembly by the lens bracket, the lens pressure plate, and fasteners. The back cover is fixedly installed on the back side of the housing assembly and has a user-friendly mode switch and a potentiometer. The housing assembly and the back cover have installation interfaces. The user-friendly mode switch and the potentiometer are respectively connected to the driver printed circuit board assembly via wires. The driver printed circuit board assembly is connected to the LED printed circuit board assembly. The potentiometer dynamically adjusts the brightness of the LED printed circuit board assembly by controlling the output current of the driver printed circuit board assembly.

[0005] According to one specific implementation of the embodiments of this application, the housing assembly is provided with heat dissipation fins.

[0006] Secondly, embodiments of this application also provide a method for optimizing the position of a light-emitting element of a site lighting lamp as described in any embodiment of the first aspect. The method includes: determining the position of the light-emitting element using a Cordyceps sinensis optimization algorithm. The Cordyceps sinensis optimization algorithm includes an initialization stage, an exploration stage, and a larval parasitism stage. The exploration stage includes a wave-traveling operator stage and a spiral ascent operator stage. The larval parasitism stage includes reparasitism behavior and optimal parasitism behavior.

[0007] According to a specific implementation of an embodiment of this application, the position expression of the light-emitting element is as follows: , In the formula, d is the distance between two adjacent light-emitting elements, and M and N are the number of light-emitting elements in the X and Y directions, respectively.

[0008] According to a specific implementation of an embodiment of this application, the initialization phase employs a Sine-Tent-Cosine composite chaotic mapping, expressed as: , Where r is a control factor, r∈[0,1], and x(i) is a position point between the lower and upper bounds of the distance of the light-emitting element in the X and Y directions.

[0009] According to a specific implementation of an embodiment of this application, the expression for the wave-traversing operator stage is: , in, The location of the caterpillar fungus during the search phase; dim is the number of variables; X best X represents the location of the caterpillar fungus with the lowest fitness value. CF,i Let be the position of the i-th caterpillar fungus; α is the search step size of the caterpillar fungus towards a higher quality position, and the expression for α is: .

[0010] According to a specific implementation of an embodiment of this application, the expression for the spiral ascent operator stage is: , Where beta is the search step size of the caterpillar fungus in the spiral ascent operator stage, and the expression for beta is: , Where r1 is a random number uniformly distributed between [0,1]; r2 is a random integer, taking the value 1 or 2; t is the current iteration number; Max iter This represents the maximum number of iterations.

[0011] According to a specific implementation of an embodiment of this application, the reparasitic behavior is improved using a weighted random projection mechanism, as expressed below: , in, and These are the first random factor and the second random factor, respectively, and their expressions are as follows; .

[0012] According to a specific implementation of an embodiment of this application, the optimal parasitic behavior expression is as follows: , , Where r4 is a random number uniformly distributed in [0,1]. lamda This represents the search step size for optimal parasitic behavior.

[0013] According to a specific implementation of this application, the expression for the fitness function in the Cordyceps sinensis optimization algorithm is as follows: , In the formula, f is the fitness function. E represents the average irradiance value of all grids on the target surface. max This represents the maximum irradiance value of all grids on the target surface; Average irradiance value The expression is: , In the formula, E is the irradiance produced by an array of M×N light-emitting elements on the target surface, and the expression for E is: , In the formula, I0 is the luminous intensity distribution perpendicular to the normal direction of the light source surface; z is the distance between the plane containing the light source and the target surface; m depends on the half-angle width and is defined by the following formula: , In the formula, The angle of view when the luminous intensity drops to half that in the normal direction.

[0014] Beneficial effects: The site lighting lamp and its light-emitting element position optimization method in this application embodiment achieves brightness adjustment through a potentiometer installed on the back cover, thereby realizing dynamic adjustment of light brightness in different working scenarios. To achieve uniform light, a rectangular array of LED light-emitting diodes is arranged, and the position of the LED light-emitting diodes is determined using a Cordyceps sinensis optimization algorithm. The algorithm is initialized using a Sine-Tent-Cosine composite chaotic mapping, which improves the uniformity of the population distribution in the solution space, laying a good foundation for the algorithm's global exploration. A weighted random projection mechanism is used to improve the algorithm's reparasitic behavior, balancing the algorithm's local exploitation ability and global exploration ability, avoiding the algorithm from getting trapped in local optima, thereby improving the algorithm's optimization ability. Therefore, this application has the following beneficial effects: Significant improvement in lighting effect: By using the Cordyceps sinensis optimization algorithm to determine the position of the light-emitting element, the problem of poor beam uniformity of the venue lighting is effectively improved, making the lighting in the venue more uniform, reducing lighting dead spots and differences in brightness, and providing a better lighting environment for venue activities; Outstanding energy-saving advantages: The potentiometer can dynamically adjust the brightness of the LED printed circuit board components, and can flexibly adjust the lighting brightness according to the actual needs of different working scenarios, avoiding unnecessary energy waste, improving energy utilization efficiency, and reducing the operating cost of site lighting. Superior algorithm performance: The Sine-Tent-Cosine composite chaotic mapping is used for algorithm initialization, making the population individuals more evenly distributed in the solution space, laying the foundation for global exploration; the weighted random projection mechanism improves the reparasitic behavior, balances local development and global exploration capabilities, avoids the algorithm from getting trapped in local optima, improves the algorithm's optimization ability, and ensures that the position of the light-emitting element reaches the optimal. Easy and user-friendly operation: The user-friendly mode switch and potentiometer on the back cover allow users to operate according to the actual situation without complicated settings or professional knowledge. Ordinary people can easily adjust the brightness of the lamps to meet the lighting needs of different scenarios. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is an overall structural diagram of a site lighting lamp according to an embodiment of the present invention; Figure 2 This is a component disassembly diagram of a site lighting lamp according to an embodiment of the present invention.

[0017] In the diagram: 1. Pressure plate; 2. Glass screen; 3. Lens pressure plate; 4. Lens bracket; 5. Lens; 6. Screw; 7. LED printed circuit board assembly; 8. Housing assembly; 9. Driver printed circuit board assembly; 10. Back cover; 11. Potentiometer; 12. User-friendly mode switch. Detailed Implementation

[0018] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0019] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this application, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using structures and / or functionalities other than one or more of the aspects set forth herein.

[0021] It should also be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. The illustrations only show the components related to this application and are not drawn according to the number, shape and size of the components in actual implementation. In actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0022] Furthermore, specific details are provided in the following description to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that the described aspects can be practiced without these specific details.

[0023] In a first aspect, embodiments of this application provide a site lighting lamp, referring to... Figure 1 and Figure 2The system includes a pressure plate 1, a glass screen 2, a housing assembly 8, and a back cover 10. The housing assembly 8 contains a lens 5, a lens bracket 4, a lens pressure plate 3, an LED printed circuit board assembly 7, and a driver printed circuit board assembly 9. The LED printed circuit board assembly 7 has multiple light-emitting elements, and the positions of the light-emitting elements are determined by a Cordyceps sinensis optimization algorithm. The lens 5 is fixed in the housing assembly 8 by the lens bracket 4, the lens pressure plate 3, and fasteners. The back cover 10 is fixedly installed on the back side of the housing assembly 8. The back cover 10 has a user-friendly mode switch 12 and a potentiometer 11. The housing assembly 8 and the back cover 10 have installation interfaces. The user-friendly mode switch 12 and the potentiometer 11 are respectively connected to the driver printed circuit board assembly 9 through wires. The driver printed circuit board assembly 9 is connected to the LED printed circuit board assembly 7. The potentiometer 11 dynamically adjusts the brightness of the LED printed circuit board assembly 7 by controlling the output current of the driver printed circuit board assembly 9.

[0024] In practice, the light-emitting elements are set as LEDs, arranged in a rectangular array, and their specific positions are determined by an improved Cordyceps sinensis optimization algorithm.

[0025] Furthermore, to facilitate heat dissipation of the venue lighting, heat dissipation fins are provided on the housing assembly.

[0026] In this embodiment, the brightness of the site lighting is dynamically adjusted via a potentiometer.

[0027] In one embodiment, a lens with a light emission angle of 60°×60° is selected, and the uniformity of light within the illumination range is ensured by adding scales to the refractive surface of the lens.

[0028] In one embodiment, the mounting interface is a composite error-proof mounting interface consisting of a standard 1 / 4 thread and a standard M6 thread. During installation, screws 6 are fixed to the field light via the mounting plate, improving the flexibility of field light installation.

[0029] Secondly, embodiments of this application also provide a method for optimizing the position of a light-emitting element of a site lighting lamp as described in any embodiment of the first aspect. The method includes: determining the position of the light-emitting element using a Cordyceps sinensis optimization algorithm. The Cordyceps sinensis optimization algorithm includes an initialization stage, an exploration stage, and a larval parasitism stage. The exploration stage includes a wave-traveling operator stage and a spiral ascent operator stage. The larval parasitism stage includes reparasitism behavior and optimal parasitism behavior.

[0030] Furthermore, the position expression of the light-emitting element is: , In the formula, d is the distance between two adjacent light-emitting elements, and M and N are the number of light-emitting elements in the X and Y directions, respectively.

[0031] Furthermore, the initialization phase employs a Sine-Tent-Cosine composite chaotic mapping, expressed as: , Where r is a control factor, r∈[0,1], and x(i) is a position point between the lower and upper bounds of the distance of the light-emitting element in the X and Y directions.

[0032] In this embodiment, a Sine-Tent-Cosine composite chaotic mapping is employed because it enables a more uniform distribution of population individuals across the solution space. Traditional initialization methods may lead to population concentration in certain regions, causing the algorithm to get stuck in local searches in the initial stages. The Sine-Tent-Cosine composite chaotic mapping overcomes this limitation. By utilizing the properties of trigonometric functions and chaotic mapping, it generates initial points that can cover a wider range of the solution space, providing a solid foundation for the algorithm's subsequent global exploration.

[0033] Furthermore, the expression for the wave-traversing operator stage is: , in, The location of the caterpillar fungus during the search phase; dim is the number of variables; X best X represents the location of the caterpillar fungus with the lowest fitness value. CF,i Let be the position of the i-th caterpillar fungus; α is the search step size of the caterpillar fungus towards a higher quality position, and the expression for α is: .

[0034] Furthermore, the expression for the spiral ascent operator stage is: , Where beta is the search step size of the caterpillar fungus in the spiral ascent operator stage, and the expression for beta is: , Where r1 is a random number uniformly distributed between [0,1]; r2 is a random integer, taking the value 1 or 2; t is the current iteration number; Max iter This represents the maximum number of iterations.

[0035] Furthermore, the reparasitic behavior is improved using a weighted random projection mechanism, as expressed below: , in, and These are the first random factor and the second random factor, respectively, and their expressions are as follows; .

[0036] In this embodiment, by improving the reparasitic behavior, it is found that traditional reparasitic behavior may cause the algorithm to over-search in local areas, leading to getting trapped in local optima. The weighted random projection mechanism introduces a random factor and a weighting strategy, increasing the randomness and diversity of the search. During the algorithm's search process, it allows the search direction to be dynamically adjusted based on the random factor and weighting coefficients, rather than being limited to a fixed pattern. This enables the algorithm to break out of local areas, expand the search scope, and thus better balance local exploitation capabilities and global exploration capabilities. When the algorithm gets trapped in a local optimum, the weighted random projection mechanism can guide the algorithm to search in other areas, increasing the probability of finding the global optimum.

[0037] Furthermore, the optimal parasitic behavior expression is as follows: , , Where r4 is a random number uniformly distributed in [0,1]. lamda This represents the search step size for optimal parasitic behavior.

[0038] Furthermore, the expression for the fitness function in the Cordyceps sinensis optimization algorithm is as follows: , In the formula, f is the fitness function. E represents the average irradiance value of all grids on the target surface. max This represents the maximum irradiance value of all grids on the target surface; Average irradiance value The expression is: , In the formula, E is the irradiance produced by an array of M×N light-emitting elements on the target surface, and the expression for E is: , In the formula, I0 is the luminous intensity distribution perpendicular to the normal direction of the light source surface; z is the distance between the plane containing the light source and the target surface; m depends on the half-angle width and is defined by the following formula: , In the formula, The angle of view when the luminous intensity drops to half that in the normal direction.

[0039] In practical implementation, the fitness function plays a crucial role in measuring and guiding the optimization of the position of the light-emitting elements in the site lighting. It comprehensively evaluates the illumination conditions on the target surface, providing a clear optimization direction for the Cordyceps sinensis optimization algorithm. By comparing the fitness values ​​under different combinations of light-emitting element positions, the algorithm can determine which combination makes the illumination distribution on the target surface more suitable.

[0040] Specifically, the average irradiance value in the fitness function reflects the overall illuminance level on the target surface. In practical site lighting applications, different scenarios have different standards for average irradiance. For example, in some industrial sites, a suitable average irradiance is needed to ensure that workers can operate clearly. The maximum irradiance value, on the other hand, reflects the peak illuminance on the target surface. If the maximum irradiance value is too high, it may cause local areas to be too bright, producing glare and affecting the visual experience; conversely, if the maximum irradiance value is too low, it may mean that the overall illuminance is insufficient.

[0041] During the iterative process, the algorithm continuously adjusts the positions of the light-emitting elements, calculates new fitness values, and compares them with previous optimal values. As the fitness value decreases, it indicates that the algorithm is searching for a better combination of light-emitting element positions. This is because the fitness function is designed to achieve an ideal balance between average and maximum irradiance. In this way, the algorithm can gradually find the optimal positions of the light-emitting elements that provide uniform illumination on the target surface and meet practical requirements.

[0042] Furthermore, the fitness function can be flexibly adjusted according to different site requirements. For example, for sites with extremely high requirements for uniform illumination, the weight of the average irradiance value in the fitness function can be appropriately increased; while for sites with strict limits on peak illumination, the weight of the maximum irradiance value can be increased. This allows the optimization algorithm to more specifically meet the actual lighting requirements of different sites, improving the lighting effect and practicality of the site lighting. In one embodiment, the total number of LEDs is 12, with 6 in the X direction and 2 in the Y direction. The optimized horizontal and vertical spacing is dx=26mm and dy=28mm, respectively. The current through the LEDs is 1.2~1.6A, the voltage drop of the LEDs is 3V, and the luminous intensity of the site lighting can reach 10951cd~12451cd.

[0043] The embodiments provided by this invention can solve the problems of poor beam uniformity and unadjustable brightness in existing site lighting; the introduction of a Sine-Tent-Cosine composite chaotic mapping strategy for initialization improves the uniformity of population distribution in the solution space, laying a good foundation for the algorithm's global exploration; the introduction of a weighted random projection mechanism improves the reparasitic behavior, balancing the algorithm's local exploitation ability and global exploration ability, avoiding the algorithm from getting trapped in local optima, thereby improving the algorithm's optimization ability; this invention is not limited to Figure 1 The field lighting shown is also applicable to field lighting of other structures, expanding new design ideas for field lighting that requires uniform light and adjustable brightness.

[0044] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A site lighting lamp, characterized in that, The system includes a pressure plate, a glass screen, a housing assembly, and a back cover. The housing assembly contains a lens, a lens holder, a lens pressure plate, an LED printed circuit board assembly, and a driver printed circuit board assembly. The LED printed circuit board assembly has multiple light-emitting elements, the positions of which are determined using a Cordyceps sinensis optimization algorithm. The lens is fixed inside the housing assembly by the lens holder, the lens pressure plate, and fasteners. The back cover is fixedly installed on the back side of the housing assembly and has a user-friendly mode switch and a potentiometer. The housing assembly and the back cover have mounting interfaces. The user-friendly mode switch and the potentiometer are connected to the driver printed circuit board assembly via wires. The driver printed circuit board assembly is connected to the LED printed circuit board assembly. The potentiometer dynamically adjusts the brightness of the LED printed circuit board assembly by controlling the output current of the driver printed circuit board assembly.

2. The site lighting lamp according to claim 1, characterized in that, The housing assembly is equipped with heat dissipation fins.

3. A method for optimizing the position of the light-emitting element of a site lighting fixture as described in claim 1 or 2, characterized in that, The method includes: determining the position of the light-emitting element by means of a Cordyceps sinensis optimization algorithm. The Cordyceps sinensis optimization algorithm includes an initialization stage, an exploration stage and a larval parasitism stage. The exploration stage includes a wave-traveling operator stage and a spiral ascent operator stage. The larval parasitism stage includes reparasitism behavior and optimal parasitism behavior.

4. The method for optimizing the position of the light-emitting element according to claim 3, characterized in that, The position expression for the light-emitting element is: ， In the formula, d is the distance between two adjacent light-emitting elements, and M and N are the number of light-emitting elements in the X and Y directions, respectively.

5. The method for optimizing the position of the light-emitting element according to claim 3, characterized in that, The initialization phase employs a Sine-Tent-Cosine composite chaotic mapping, expressed as: ， Where r is a control factor, r∈[0,1], and x(i) is a position point between the lower and upper bounds of the distance of the light-emitting element in the X and Y directions.

6. The method for optimizing the position of the light-emitting element according to claim 3, characterized in that, The expression for the wave-traversing operator stage is: ， in, The location of the caterpillar fungus during the search phase; dim is the number of variables; X best X represents the location of the caterpillar fungus with the lowest fitness value. CF,i Let be the position of the i-th caterpillar fungus; α is the search step size of the caterpillar fungus towards a higher quality position, and the expression for α is: 。 7. The method for optimizing the position of the light-emitting element according to claim 6, characterized in that, The expression for the spiral ascent operator stage is: ， Where beta is the search step size of the caterpillar fungus in the spiral ascent operator stage, and the expression for beta is: ， Where r1 is a random number uniformly distributed between [0,1]; r2 is a random integer, taking the value 1 or 2; t is the current iteration number; Max iter This represents the maximum number of iterations.

8. The method for optimizing the position of the light-emitting element according to claim 7, characterized in that, The reparasitic behavior is improved using a weighted random projection mechanism, expressed as follows: ， in, and These are the first random factor and the second random factor, respectively, and their expressions are as follows; 。 9. The method for optimizing the position of a light-emitting element according to claim 8, characterized in that, The optimal parasitic behavior expression is as follows: ， ， Where r4 is a random number uniformly distributed in [0,1]. lamda This represents the search step size for optimal parasitic behavior.

10. The method for optimizing the position of the light-emitting element according to claim 4, characterized in that, The expression for the fitness function in the Cordyceps sinensis optimization algorithm is as follows: ， In the formula, f is the fitness function. E represents the average irradiance value of all grids on the target surface. max This represents the maximum irradiance value of all grids on the target surface; Average irradiance value The expression is: ， In the formula, E is the irradiance produced by an array of M×N light-emitting elements on the target surface, and the expression for E is: ， In the formula, I0 is the luminous intensity distribution perpendicular to the normal direction of the light source surface; z is the distance between the plane containing the light source and the target surface; m depends on the half-angle width and is defined by the following formula: ， In the formula, The angle of view when the luminous intensity drops to half that in the normal direction.

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