An energy-saving configuration method, configuration device and storage medium for a maglev LED lamp

Abstract

The present invention relates to the technical field of energy-saving control of LED lights, in particular to an energy-saving configuration method, configuration device and storage medium for a maglev LED light. If the maglev LED light can control the maglev light illumination collaborative regulation through a synchronous linkage mechanism, then analyze and calculate the power gap between the abnormal output power and the ideal energy-saving output power, and design a sliding mode compensation control law for the magnetic field control configuration parameters in combination with the power gap and the magnetic field disturbance index to obtain the first energy-saving configuration scheme; if the maglev LED light cannot control the maglev light illumination collaborative regulation through a synchronous linkage mechanism, then select points for the hovering area of the maglev brightness adjustment strategy based on the illumination brightness deviation value between the target illumination brightness value and the reference illumination brightness value, and design a sliding mode control law to reach the final hovering area based on the illumination brightness deviation value to obtain the second energy-saving configuration scheme; the present invention can optimize the energy-saving configuration of the illumination brightness output of the maglev LED light, reduce the lighting energy consumption, and ensure the energy-saving and environmental protection operation.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving control of LED lights, and particularly to an energy-saving configuration method, configuration device and storage medium for a maglev LED light. Background Art

[0002] A maglev LED light is an innovative lamp that combines maglev technology and LED lighting. Through the principle of maglev, the bulb or bulbs can be suspended in the air without contacting any surface. Usually, the base provides power, and the principle of electromagnetic induction is used to power the suspended LED bulbs. Maglev LED lights provide an energy-saving and long-life light source, making such lamps very practical. However, the traditional configuration method has a low accuracy in configuring the illumination brightness of maglev LED lights, and it is difficult to allocate appropriate illumination brightness for multiple maglev LED lights according to the characteristics of the application scenario, resulting in unreasonable energy-saving configuration; moreover, it is unable to configure more energy-saving illumination control parameters according to the synchronous linkage control function of the maglev LED lights themselves, which greatly increases the power consumption output of the maglev LED lights, while reducing the utilization rate of illumination, resulting in light loss, which does not conform to the energy-saving and environmental protection concept of actual lighting use. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides an energy-saving configuration method, configuration device and storage medium for a maglev LED light.

[0004] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0005] The first aspect of the present invention provides an energy-saving configuration method for a maglev LED light, including the following steps:

[0006] S102: Obtain the current illumination brightness value of the illumination distribution sub-domain where the maglev LED light is located in the application space, and based on the current illumination brightness value, allocate a gain scheduling of the energy-saving illumination brightness value range for each illumination distribution sub-domain to form a sliding mode surface, and generate the target illumination brightness value of the maglev LED light in each illumination distribution sub-domain;

[0007] S104: If the maglev LED light can control the maglev illumination coordination regulation through a synchronous linkage mechanism, then analyze the power gap between the abnormal output power and the ideal energy-saving output power according to the trend of the abnormal power time series peak value output when the maglev bulb reaches the target illumination brightness value, and design a sliding mode compensation control law for the magnetic field control configuration parameters in combination with the power gap and the magnetic field disturbance index to obtain the first energy-saving configuration scheme;

[0008] S106: If the maglev LED light cannot control the maglev illumination collaborative regulation through the synchronous linkage mechanism, obtain the maglev brightness adjustment strategy, select points for the hovering area controlled by the maglev brightness adjustment strategy based on the illumination brightness deviation value between the target illumination brightness value and the reference illumination brightness value, obtain the final hovering area, design a sliding mode adjustment control law to reach the final hovering area based on the illumination brightness deviation value, and obtain the second energy-saving configuration plan;

[0009] S108: Analyze and calculate the superposition probability of the illumination amplitude deviation value generated in the illumination superposition area due to the illumination angle adjustment parameter according to the configuration states of the first energy-saving configuration plan and the second energy-saving configuration plan on the sliding mode surface, optimize the illumination angle and layout position of the maglev LED light based on the superposition probability, and generate an energy-saving configuration optimization plan.

[0010] More specifically, the step S102 specifically includes the following steps:

[0011] Obtain the application space of the maglev LED light and the layout pattern in the application space, construct a virtual three-dimensional space domain based on the application space, and plan the illumination distribution sub-domains of the maglev LED light in the virtual three-dimensional space domain according to the layout pattern;

[0012] Obtain the dynamic behavior feature set and dynamic environment feature set of the current application space for the maglev LED light, introduce an exhaustive algorithm to calculate the feature discrete combinations of the dynamic behavior feature set and the dynamic environment feature set, and generate multiple groups of dynamic feature discrete representatives;

[0013] Retrieve the energy-saving illumination brightness value range of the current application space in the big data network based on multiple groups of dynamic feature discrete representatives, and simultaneously obtain the current illumination brightness values of each illumination distribution sub-domain;

[0014] Introduce the gain scheduling allocation method, and calculate the gain scheduling function of each energy-saving illumination brightness value in the energy-saving illumination brightness value range according to the current illumination brightness values of each illumination distribution sub-domain in the gain scheduling allocation method;

[0015] Define the energy-saving illumination brightness value range as the space state of the application space, establish a gain scheduling allocation strategy for the energy-saving illumination brightness value range for each illumination distribution sub-domain based on the gain scheduling function, and form a sliding mode surface of each illumination distribution sub-domain in the space state by linearly combining the gain scheduling allocation strategies of each illumination distribution sub-domain on the space state;

[0016] Obtain the configuration network of the maglev LED light, apply the sliding mode surface of each illumination distribution sub-domain in the space state to the gain scheduling of the illumination brightness allocation in the configuration network, and finally generate the target illumination brightness values of the maglev LED lights in each illumination distribution sub-domain.

[0017] More specifically, step S104 specifically includes the following steps:

[0018] Obtain the product structure design information of the maglev LED lamp, and judge whether the maglev LED lamps in each sub-field of light distribution can control the maglev light co-regulation through a synchronous linkage mechanism according to the product structure design information;

[0019] If the maglev LED lamp can control the maglev light co-regulation through the synchronous linkage mechanism, obtain the preset linkage control strategy for the maglev LED lamp to execute the synchronous linkage mechanism, and achieve the target light regulation value by controlling the maglev LED lamp to execute the preset linkage control strategy. At this time, obtain several actual power values during the process of the maglev bulb reaching the target light brightness value at the preset time sequence;

[0020] Obtain the rated power threshold range of the maglev bulb, set the abnormal power interval according to the rated power threshold range, judge whether each actual power value is within the abnormal power interval. If it is, calibrate the actual power value as an abnormal power value, and draw and construct a time-sequence peak trend chart of the abnormal power through all the abnormal power values;

[0021] Based on the product structure design information and the rated power threshold range, obtain the ideal energy-saving power threshold interval for the maglev LED bulb to output the target light brightness value in the big data network, and draw and construct a time-sequence peak trend chart of the ideal energy-saving power according to the ideal energy-saving power threshold interval;

[0022] Introduce the normal mean shift algorithm to calculate the drift degree between the time-sequence peak trend chart of the abnormal power and the time-sequence peak trend chart of the ideal energy-saving power, obtain the drift amplitude, and determine the power gap between the abnormal power and the ideal energy-saving power according to the drift amplitude;

[0023] Construct the magnetic flux density motion equation when a spatial coupling effect is formed between the maglev module and the wireless energy transmission module to output the target light brightness value, and analyze the magnetic flux density motion equation based on the preset magnetic field characteristic mode of the maglev module to determine the magnetic field disturbance index of the maglev module for the wireless energy transmission module;

[0024] Combine the power gap and the magnetic field disturbance index to design a sliding mode compensation control law, and perform energy-saving configuration compensation on the magnetic field control configuration parameters when the maglev module executes the preset linkage control strategy to reach the target light regulation value based on the sliding mode compensation control law, and obtain the first energy-saving configuration scheme.

[0025] More specifically, when forming a spatial coupling effect between the magnetic levitation module and the wireless energy transmission module to output the target illumination brightness value in step S104, the magnetic flux density motion equation is constructed, and the magnetic flux density motion equation is analyzed based on the preset magnetic field characteristic mode of the magnetic levitation module to determine the magnetic field disturbance index of the magnetic levitation module for the wireless energy transmission module, which specifically includes the following steps:

[0026] Obtain the spatial distribution structure of the magnetic levitation module and the wireless energy transmission module, and based on the spatial distribution structure, perform model reconstruction in multi-dimensional model design software to obtain a spatial coupling simulation model formed by the magnetic levitation module and the wireless energy transmission module;

[0027] Extract a number of historical power-on parameters when a spatial coupling effect is formed between the magnetic levitation module and the wireless energy transmission module to output the target illumination brightness value through the energy-saving log of the magnetic levitation LED lamp, and configure and control the spatial coupling simulation model based on the number of historical power-on parameters to perform simulation simulations at different preset timestamp nodes to obtain multiple spatial coupling effect coefficients;

[0028] Based on the energy-saving log, extract the induced electromotive force data and current distribution vector data when the wireless energy transmission module generates multiple spatial coupling effect coefficients, and establish a magnetic flux density motion equation according to the induced electromotive force data and the current distribution vector data;

[0029] Obtain the model specification parameters of the magnetic levitation module, and retrieve the preset magnetic field characteristics of the magnetic levitation module in the big data network according to the model specification parameters of the magnetic levitation module;

[0030] Solve the natural frequency and modal shape eigenvalue of the magnetic flux density motion equation according to the preset magnetic field characteristics, perform modal orthogonal normalization processing on the magnetic flux density motion equation based on the natural frequency and modal shape eigenvalue, and expand the magnetic flux density motion equation to obtain the modal expansion formula of the magnetic flux density motion;

[0031] Substitute the modal expansion formula into the magnetic flux density motion equation to generate the magnetic flux density motion equation in different modes, and solve the magnetic flux density motion equation in different modes based on multiple spatial coupling effect coefficients to obtain the historical magnetic flux density when the wireless energy transmission module outputs to the target illumination brightness value under the spatial coupling effect;

[0032] Obtain the model specification parameters of the wireless energy transmission module, and retrieve the established magnetic flux density when the wireless energy transmission module outputs to the target illumination brightness value in the big data network according to the model specification parameters of the wireless energy transmission module;

[0033] Calculate the hash state function between the historical magnetic flux density and the established magnetic flux density, and determine the magnetic field disturbance index of the magnetic levitation module for the wireless energy transmission module according to the hash state function.

[0034] More specifically, step S106 specifically includes the following steps:

[0035] If the maglev LED lamp cannot control the maglev light illumination coordination through the synchronous linkage mechanism, obtain the reference light illumination brightness value corresponding to the output when the maglev LED bulb is in the ideal energy-saving power threshold range based on the big data network;

[0036] Obtain the preset hovering area of the maglev LED bulb and the maglev brightness adjustment strategy for controlling the movement of the maglev LED bulb within the preset hovering area, calculate the deviation value between the reference light illumination brightness value and the target light illumination brightness value, and obtain the light illumination brightness deviation value;

[0037] Branch the maglev brightness adjustment strategy according to the light illumination brightness deviation value to obtain the preset brightness adjustment parameters under different hovering areas, and divide the preset hovering area into N sub-hovering areas based on the preset brightness adjustment parameters under different hovering areas;

[0038] For each sub-hovering area, obtain the upper boundary node value and the lower boundary node value of the sub-hovering area. If the upper boundary node value is less than the light illumination brightness deviation value, retain the upper boundary node value from the sub-hovering area; if the lower boundary node value is greater than the light illumination brightness deviation value, update the light illumination brightness deviation value based on the lower boundary node value to obtain the updated light illumination brightness deviation value;

[0039] Globally update the upper and lower boundaries of the sub-hovering area according to the updated light illumination brightness deviation value to obtain a new sub-hovering area, and repeat the above steps to continuously branch and update the remaining sub-hovering areas until all sub-hovering areas are branched and updated. Output the sub-hovering area corresponding to the maximum updated light illumination brightness deviation value, which is defined as the final hovering area for adjusting the light illumination brightness deviation value;

[0040] Design a sliding mode optimization control law according to the light illumination brightness deviation value, and perform energy-saving configuration regulation on the magnetic field control configuration parameters for the maglev module to control the maglev bulb to reach the final hovering area based on the sliding mode optimization control law, and obtain the second energy-saving configuration plan.

[0041] More specifically, step S108 specifically includes the following steps:

[0042] Apply the first energy-saving configuration plan and the second energy-saving configuration plan to the configuration network of the maglev LED lamp, so that the sliding mode control laws in the first energy-saving configuration plan and the second energy-saving configuration plan are correspondingly configured on the sliding mode surfaces of the maglev LED lamps in the spatial states in each light distribution sub-domain;

[0043] After the configuration is completed, re - control the maglev LED lights in each lighting distribution sub - area to reach the target lighting brightness value. At this time, obtain the intersection interference area of each lighting distribution sub - area in the application space according to the layout pattern of the maglev LED lights in the application space, which is defined as the lighting superposition area;

[0044] Obtain the actual lighting brightness value of the lighting superposition area. If the actual lighting brightness value is still not within the energy - saving lighting brightness value range, capture and collect the interference pattern images of the lighting superposition area through an optical interference device to obtain a plurality of interference pattern images;

[0045] Based on the edge detection operator, identify and extract several interference fringe features in each interference pattern image and perform image segmentation and positioning on each interference fringe feature to obtain the distribution positions of all interference fringe features. Determine the actual brightness superposition phase difference of the lighting superposition area according to the distribution positions;

[0046] Based on the energy - saving lighting brightness value range, preset the brightness superposition phase difference interval for the lighting superposition area to reach the energy - saving lighting brightness. Calculate the phase deviation ratio of the actual brightness superposition phase difference compared to the brightness superposition phase difference interval, and determine the lighting amplitude deviation value required for the actual lighting brightness value of the lighting superposition area to tend to the energy - saving lighting brightness value range according to the phase deviation ratio;

[0047] Obtain the irradiation angle adjustment parameter when re - controlling the maglev LED lights in each lighting distribution sub - area to reach the target lighting brightness value. Introduce the maximum likelihood method to calculate the superposition probability of the irradiation angle adjustment parameter causing the lighting amplitude deviation value in the lighting superposition area to obtain a plurality of superposition probabilities;

[0048] If the superposition probability is greater than the preset superposition probability, adjust the irradiation angle of the maglev LED lights. If the superposition probability is less than the preset superposition probability, adjust the layout positions of the maglev LED lights in each lighting distribution sub - area to generate an energy - saving configuration optimization plan.

[0049] The second aspect of the present invention provides a configuration device for maglev LED lights. The configuration device includes a memory and a processor. The memory stores a program for the energy - saving configuration method of maglev LED lights. When the program for the energy - saving configuration method of maglev LED lights is executed by the processor, the steps of any one of the energy - saving configuration methods of maglev LED lights are implemented.

[0050] The third aspect of the present invention provides a computer - readable storage medium. The computer - readable storage medium stores a computer detection program. When the computer detection program is executed by at least one processor, the energy - saving configuration of any one of the maglev LED lights is realized.

[0051] The present invention solves the technical defects existing in the background art, and the beneficial technical effects of the present invention are as follows:

[0052] Obtain the current illumination brightness value of the illumination distribution sub - field of the magnetic levitation LED lamp in the application space, and based on the current illumination brightness value, allocate the gain scheduling of the energy - saving illumination brightness value range for each illumination distribution sub - field to form a sliding mode surface, and generate the target illumination brightness value of the magnetic levitation LED lamp in each illumination distribution sub - field; if the magnetic levitation LED lamp can control the magnetic levitation illumination collaborative regulation through the synchronous linkage mechanism, then analyze and calculate the power gap existing in the abnormal output power compared with the ideal energy - saving output power, and design the sliding - mode compensation control law of the magnetic field control configuration parameters in combination with the power gap and the magnetic field disturbance index to obtain the first energy - saving configuration scheme; if the magnetic levitation LED lamp cannot control the magnetic levitation illumination collaborative regulation through the synchronous linkage mechanism, then select points for the hovering area controlled by the magnetic levitation brightness adjustment strategy based on the illumination brightness deviation value between the target illumination brightness value and the reference illumination brightness value, and design the sliding - mode control law to reach the final hovering area based on the illumination brightness deviation value to obtain the second energy - saving configuration scheme; analyze and calculate the superposition probability of the illumination amplitude deviation value generated in the illumination superposition area caused by the irradiation angle adjustment parameter according to the configuration states of the first energy - saving configuration scheme and the second energy - saving configuration scheme on the sliding mode surface, and optimize the irradiation angle and layout position of the magnetic levitation LED lamp based on the superposition probability to generate the energy - saving configuration optimization scheme. The present invention can perform multi - dimensional energy - saving configuration optimization on the illumination brightness output during the use of the magnetic levitation LED lamp, reduce lighting energy consumption, improve light utilization rate, and ensure energy - saving and environmental - friendly operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0054] Figure 1 Shows the first method flow chart of an energy - saving configuration method for a magnetic levitation LED lamp;

[0055] Figure 2 Shows the second method flow chart of an energy - saving configuration method for a magnetic levitation LED lamp;

[0056] Figure 3 Shows the third method flow chart of an energy - saving configuration method for a magnetic levitation LED lamp;

[0057] Figure 4 Shows the device framework diagram of an energy - saving configuration device for a magnetic levitation LED lamp. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] In order to more clearly understand the above-mentioned objects, features, and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0059] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0060] The first aspect of the present invention provides an energy-saving configuration method for a maglev LED lamp, as Figure 1 shown, including the following steps:

[0061] S102: Obtain the current illumination brightness value of the illumination distribution sub-domain where the maglev LED lamp is located in the application space, and based on the current illumination brightness value, allocate the gain scheduling of the energy-saving illumination brightness value range for each illumination distribution sub-domain to form a sliding mode surface, and generate the target illumination brightness value of the maglev LED lamp in each illumination distribution sub-domain;

[0062] S104: If the maglev LED lamp can control the maglev illumination collaborative regulation through the synchronous linkage mechanism, then analyze the power gap between the abnormal output power and the ideal energy-saving output power according to the abnormal power time-sequence peak trend output when the maglev bulb reaches the target illumination brightness value, and design the sliding mode compensation control law of the magnetic field control configuration parameters in combination with the power gap and the magnetic field disturbance index to obtain the first energy-saving configuration scheme;

[0063] S106: If the maglev LED lamp cannot control the maglev illumination collaborative regulation through the synchronous linkage mechanism, then obtain the maglev brightness adjustment strategy, select the hovering area points controlled by the maglev brightness adjustment strategy based on the illumination brightness deviation value between the target illumination brightness value and the reference illumination brightness value to obtain the final hovering area, and design the sliding mode adjustment control law to reach the final hovering area based on the illumination brightness deviation value to obtain the second energy-saving configuration scheme;

[0064] S108: According to the configuration states of the first energy-saving configuration scheme and the second energy-saving configuration scheme on the sliding mode surface, analyze and calculate the superposition probability of the illumination amplitude deviation value generated in the illumination superposition area caused by the irradiation angle adjustment parameter, and optimize the irradiation angle and layout position of the maglev LED lamp based on the superposition probability to generate an energy-saving configuration optimization scheme.

[0065] It should be noted that the internal structure of the maglev LED lamp mainly consists of a maglev module and a wireless energy transmission module working in coordination. The maglev module includes a lamp body base, an electromagnet system, and a power supply; the wireless energy transmission module includes a pair of electromagnetic coils and an LED bulb. The maglev module energizes the electromagnet system through the power supply, enabling the electromagnet system to generate electromagnetic force to control the suspension of the maglev bulb; while the wireless energy transmission module generates an alternating magnetic field to transmit and control electrical energy by connecting the electromagnetic coils, thus realizing the lighting operation of the maglev LED lamp.

[0066] More specifically, the step S102, as Figure 2 shown, specifically includes the following steps:

[0067] S202: Obtain the application space of the maglev LED lamp and the layout pattern in the application space, construct a virtual three-dimensional space domain based on the application space, and plan a lighting distribution sub-domain of the maglev LED lamp in the virtual three-dimensional space domain according to the layout pattern;

[0068] S204: Obtain the dynamic behavior feature set and dynamic environment feature set of the maglev LED lamp for the current application space, introduce an exhaustive algorithm to calculate the feature discrete combinations of the dynamic behavior feature set and the dynamic environment feature set, and generate multiple groups of dynamic feature discrete representatives;

[0069] S206: Retrieve and obtain the energy-saving lighting brightness value range of the current application space in the big data network based on multiple groups of dynamic feature discrete representatives, and at the same time obtain the current lighting brightness values of each lighting distribution sub-domain;

[0070] S208: Introduce the gain scheduling allocation method, and calculate the gain scheduling function of each energy-saving lighting brightness value within the energy-saving lighting brightness value range in the gain scheduling allocation method according to the current lighting brightness values of each lighting distribution sub-domain;

[0071] S210: Define the energy-saving lighting brightness value range as the space state of the application space, establish a gain scheduling allocation strategy for the energy-saving lighting brightness value range for each lighting distribution sub-domain based on the gain scheduling function, and form a sliding mode surface of each lighting distribution sub-domain in the space state by linearly combining the gain scheduling allocation strategies of each lighting distribution sub-domain on the space state;

[0072] S212: Obtain the configuration network of the maglev LED lamp, apply the sliding mode surface of each lighting distribution sub-domain in the space state to the gain scheduling of lighting brightness allocation in the configuration network, and finally generate the target lighting brightness values of the maglev LED lamps in each lighting distribution sub-domain.

[0073] It should be noted that magnetic levitation LED lights can usually be applied to different lighting scenarios, and in some lighting situations, multiple magnetic levitation LED lights are set up for combined lighting to ensure that the regional brightness meets the requirements. However, in the process of achieving both the lighting brightness requirements and meeting the energy conservation and environmental protection requirements through the combined lighting of multiple magnetic levitation LED lights, due to the layout pattern relationship of multiple magnetic levitation LED lights, the light brightness output by each magnetic levitation LED light in the application space is not uniform. For example, to make the light brightness in the application space reach 200 lux, due to the layout pattern and spatial position relationship, it may be necessary to allocate some magnetic levitation LED lights to output a light brightness of 50 lux, while the remaining part is allocated to output a light brightness higher than 50 lux. This will cause the output power of some magnetic levitation LED lights to exceed the ideal energy-saving power, and finally, after each magnetic levitation LED light is allocated the light brightness, the light brightness in the application space still cannot reach the energy-saving light range, greatly increasing the power consumption, which does not conform to the energy-saving concept. Therefore, this method can generate multiple groups of dynamic feature discrete representatives according to the combination of the dynamic behavior feature set and the dynamic environment feature set in the application space. The multiple groups of dynamic feature discrete representatives reflect the lighting requirements in the application space. For example, when there are people studying in the application space, the magnetic levitation LED lights need to be controlled to appropriately increase the light brightness at this time; the light distribution sub-domain represents the range of the area that the light of the magnetic levitation LED light can irradiate; according to the current light brightness value of each light distribution sub-domain and the multiple groups of dynamic feature discrete representatives, the energy-saving light brightness values in the energy-saving light brightness value range are reasonably gain-scheduled and allocated to each light distribution sub-domain, so as to ensure that each magnetic levitation LED light can control the output of the corresponding energy-saving light brightness based on the required energy-saving light brightness of the application space, thereby further improving the automatic allocation and control of the magnetic levitation LED lights to be more reasonable and more energy-saving light brightness according to different application scenarios and layout positions, ensuring that the light brightness is in an energy-saving state under the condition of uneven combined lighting of all magnetic levitation LED lights, and reducing the light power consumption; at the same time, the automatic allocation method based on gain scheduling does not require manual configuration one by one, improving the accuracy and efficiency of energy-saving configuration.

[0074] It should be noted that by linearly combining the gain scheduling allocation strategies of each lighting allocation sub - domain in the spatial state, the sliding mode surface of each lighting allocation sub - domain in the spatial state is formed. The sliding mode surface describes the ideal state trajectory of the application space for allocating gain scheduling according to the energy - saving lighting brightness value range. It can make the maglev LED lights in each lighting allocation sub - domain tend to the energy - saving lighting brightness value range to the greatest extent during the gain scheduling allocation, and enable the subsequent energy - saving configuration of the maglev LED lights to slide along this ideal state trajectory, avoiding the lighting brightness deviation of the final energy - saving configuration from this ideal state trajectory caused by the change of the application space characteristics, effectively improving the robustness of reasonably allocating the target lighting brightness for each lighting allocation sub - domain according to the energy - saving lighting brightness value range and the energy - saving configuration of the maglev LED lamp system, and ensuring that the finally allocated target lighting brightness is more energy - saving and meets the lighting requirements.

[0075] More specifically, the step S104 specifically includes the following steps:

[0076] Obtain the product structure design information of the maglev LED lamp, and judge whether the maglev LED lights in each lighting allocation sub - domain can control the maglev lighting collaborative regulation through the synchronous linkage mechanism according to the product structure design information;

[0077] If the maglev LED lights can control the maglev lighting collaborative regulation through the synchronous linkage mechanism, obtain the preset linkage control strategy for the maglev LED lights to execute the synchronous linkage mechanism, and achieve the target lighting regulation value by controlling the maglev LED lights to execute the preset linkage control strategy. At this time, obtain several actual power values during the process of the maglev bulb reaching the target lighting brightness value at the preset time sequence;

[0078] Obtain the rated power threshold range of the maglev bulb, set the abnormal power interval according to the rated power threshold range, judge whether each actual power value is within the abnormal power interval. If it is, calibrate the actual power value as an abnormal power value, and draw and construct the time - sequence peak trend graph of the abnormal power through all abnormal power values;

[0079] Based on the product structure design information and the rated power threshold range, obtain the ideal energy - saving power threshold interval for the maglev LED bulb to output the target lighting brightness value in the big data network, and draw and construct the time - sequence peak trend graph of the ideal energy - saving power according to the ideal energy - saving power threshold interval;

[0080] Introduce the normal mean - shift algorithm to calculate the drift degree between the time - sequence peak trend graph of the abnormal power and the time - sequence peak trend graph of the ideal energy - saving power, obtain the drift amplitude, and determine the power gap between the abnormal power and the ideal energy - saving power according to the drift amplitude;

[0081] Construct the magnetic flux density motion equation when a spatial coupling effect is formed between the magnetic levitation module and the wireless energy transmission module to output the target light brightness value. Based on the preset magnetic field characteristic mode of the magnetic levitation module, analyze the magnetic flux density motion equation to determine the magnetic field perturbation index of the magnetic levitation module for the wireless energy transmission module;

[0082] Combine the power gap and the magnetic field perturbation index to design a sliding mode compensation control law. Based on the sliding mode compensation control law, perform an energy-saving configuration compensation on the magnetic field control configuration parameters when the preset linkage control strategy is executed on the magnetic levitation module to reach the target light control value, and obtain the first energy-saving configuration scheme.

[0083] It should be noted that with the development of existing technologies, some magnetic levitation LED lights can accurately achieve the synchronous linkage control of the alternating magnetic field in the wireless energy transmission module through the magnetic field generated by the magnetic levitation module, so as to achieve the energy-saving linkage control effect of changing the photoelectric energy-saving output of the light bulb by the magnetic levitation magnetic field. However, there are still some magnetic levitation LED lights that cannot achieve this function. If there are the above two types of magnetic levitation LED lights with different functions in the application space, after allocating a target light brightness value that meets the requirements and is energy-saving and reasonable for each magnetic levitation LED light, the power output increases when controlling the output of the target light brightness value of some magnetic levitation LED lights with different functions, increasing the power consumption, and there is also the phenomenon of unstable light brightness due to abnormal power. If the magnetic levitation LED light can control the magnetic levitation light co-regulation through the synchronous linkage mechanism, it means that when abnormal power occurs in the output of the target light brightness value of the magnetic levitation light bulb, the perturbation compensation of the alternating magnetic field of the light bulb can be achieved by adjusting the magnetic field control configuration parameters of the magnetic levitation module. When abnormal power occurs in the output of the target light brightness value of the magnetic levitation light bulb, the actual abnormal power needs to be stabilized within the ideal energy-saving power threshold interval first. The power drift amplitude formed when the abnormal power is stabilized to the ideal energy-saving power can be further analyzed and determined according to the time series peak trend chart of the abnormal power and the time series peak trend chart of the ideal energy-saving power. Since there is a power drift behavior, a power gap will be formed, which may cause the light brightness output by the light bulb to not reach the target light brightness. In order to enable the light bulb to reach the target light brightness again, the magnetic field perturbation index of the magnetic levitation module for the wireless energy transmission module can be calculated, and the magnetic field parameters of the magnetic levitation module can be controlled accordingly to compensate for the power gap, so that the light bulb can reach and maintain the target light brightness again, thus greatly improving the light stability of the magnetic levitation LED light and minimizing the abnormal power output frequency. Through this method, a reasonable energy-saving configuration scheme can be designed according to the synchronous linkage control function of the magnetic levitation LED light, effectively improving the energy-saving regulation accuracy of the light brightness, avoiding the phenomenon of abnormal power output caused by energy-saving configuration errors, and having high reliability.

[0084] More specifically, when forming a spatial coupling effect between the magnetic levitation module and the wireless energy transmission module to output the target illumination brightness value in step S104, the magnetic flux density motion equation is constructed, and the magnetic flux density motion equation is analyzed based on the preset magnetic field characteristic mode of the magnetic levitation module to determine the magnetic field perturbation index of the magnetic levitation module for the wireless energy transmission module, which specifically includes the following steps:

[0085] Obtain the spatial distribution structure of the magnetic levitation module and the wireless energy transmission module, and perform model reconstruction in the multi-dimensional model design software based on the spatial distribution structure to obtain a spatial coupling simulation model formed by the magnetic levitation module and the wireless energy transmission module;

[0086] Extract a number of historical power-on parameters when forming a spatial coupling effect between the magnetic levitation module and the wireless energy transmission module to output the target illumination brightness value through the energy-saving log of the magnetic levitation LED lamp, and configure the control spatial coupling simulation model based on the number of historical power-on parameters to perform simulation simulations at different preset timestamp nodes to obtain multiple spatial coupling effect coefficients;

[0087] Based on the energy-saving log, extract the induced electromotive force data and current distribution vector data when the wireless energy transmission module generates multiple spatial coupling effect coefficients, and establish a magnetic flux density motion equation according to the induced electromotive force data and the current distribution vector data;

[0088] Obtain the model specification parameters of the magnetic levitation module, and retrieve the preset magnetic field characteristics of the magnetic levitation module in the big data network according to the model specification parameters of the magnetic levitation module;

[0089] Solve the natural frequency and modal shape eigenvalue of the magnetic flux density motion equation according to the preset magnetic field characteristics, perform modal orthogonal normalization processing on the magnetic flux density motion equation based on the natural frequency and modal shape eigenvalue, and expand the magnetic flux density motion equation to obtain the modal expansion formula of the magnetic flux density motion;

[0090] Substitute the modal expansion formula into the magnetic flux density motion equation to generate the magnetic flux density motion equation in different modes, and solve the magnetic flux density motion equation in different modes based on multiple spatial coupling effect coefficients to obtain the historical magnetic flux density when the wireless energy transmission module outputs to the target illumination brightness value under the spatial coupling effect;

[0091] Obtain the model specification parameters of the wireless energy transmission module, and retrieve the established magnetic flux density when the wireless energy transmission module outputs to the target illumination brightness value in the big data network according to the model specification parameters of the wireless energy transmission module;

[0092] Calculate the hash state function between the historical magnetic flux density and the established magnetic flux density, and determine the magnetic field perturbation index of the magnetic levitation module for the wireless energy transmission module according to the hash state function.

[0093] It should be noted that the energization parameters include current, voltage, power, and resistance. The current distribution vector data includes current value data, current density data, and current flow direction data. The magnetic field generated by the magnetic levitation module will have a certain physical effect on the alternating magnetic field of the wireless energy transmission module. If the distance between the magnetic field generated by the magnetic levitation module and the alternating magnetic field of the wireless energy transmission module is relatively close, there may be a spatial coupling effect between the two, causing the magnetic field of the magnetic levitation module to further affect the induced electromotive force and current vector of the alternating magnetic field by changing the magnetic flux density distribution of the alternating magnetic field. Therefore, the magnetic field of the magnetic levitation module has a certain magnetic field disturbance effect on the alternating magnetic field of the wireless energy transmission module. In order to enable the magnetic field control configuration parameters of the magnetic levitation module to accurately and efficiently compensate for the power gap in energy-saving configuration, it is necessary to comprehensively consider the disturbance situation of the magnetic field of the magnetic levitation module on the alternating magnetic field of the wireless energy transmission module during the synchronous linkage control process to improve the reliability of the energy-saving configuration. This method first obtains the spatial coupling effect coefficient when the spatial coupling effect output target illumination brightness value is formed between the magnetic levitation module and the wireless energy transmission module through simulation. The spatial coupling effect coefficient fully reflects the influence of the magnetic field on the magnetic flux density distribution of the alternating magnetic field, effectively improving the accuracy of the spatial coupling disturbance analysis. Since the magnetic field will affect the induced electromotive force of the alternating magnetic field and the current distribution vector, this method establishes a magnetic flux density motion equation through the induced electromotive force data and current distribution vector data when generating the spatial coupling effect coefficient to study and analyze the magnetic flux distribution characteristics. Further, by solving the magnetic flux density motion equation according to the preset magnetic field characteristics of the magnetic levitation module, the historical magnetic flux density can be obtained. According to the hash state function between the historical magnetic flux density and the established magnetic flux density, the magnetic field disturbance index of the magnetic levitation module on the wireless energy transmission module can be known. Through this method, the magnetic field disturbance index of the magnetic levitation module on the wireless energy transmission module can be analyzed efficiently and accurately, providing a reliable configuration basis for the subsequent energy-saving regulation of the magnetic field control parameters of the magnetic levitation module, and greatly improving the energy-saving configuration accuracy and economic benefits of the synchronous linkage control of the magnetic levitation LED lamp.

[0094] More specifically, in the step S106, as Figure 3 shown, it specifically includes the following steps:

[0095] S302: If the magnetic levitation LED lamp cannot control the magnetic levitation illumination collaborative regulation through the synchronous linkage mechanism, obtain the reference illumination brightness value corresponding to the output when the magnetic levitation LED bulb is within the ideal energy-saving power threshold range based on the big data network;

[0096] S304: Obtain the preset hovering area of the maglev LED bulb and the maglev brightness adjustment strategy for controlling the movement of the maglev LED bulb within the preset hovering area, calculate the deviation value between the reference illumination brightness value and the target illumination brightness value to obtain the illumination brightness deviation value;

[0097] S306: Branch the maglev brightness adjustment strategy according to the illumination brightness deviation value to obtain the preset brightness adjustment parameters under different hovering areas, and divide the preset hovering area into N sub-hovering areas based on the preset brightness adjustment parameters under different hovering areas;

[0098] S308: For each sub-hovering area, obtain the upper boundary node value and the lower boundary node value of the sub-hovering area. If the upper boundary node value is less than the illumination brightness deviation value, retain the upper boundary node value from the sub-hovering area; if the lower boundary node value is greater than the illumination brightness deviation value, update the illumination brightness deviation value based on the lower boundary node value to obtain the updated illumination brightness deviation value;

[0099] S310: Globally update the upper and lower boundaries of the sub-hovering area according to the updated illumination brightness deviation value to obtain a new sub-hovering area, and repeat the above steps to continuously branch and update the remaining sub-hovering areas until all sub-hovering areas are branched and updated. Then output the sub-hovering area corresponding to the maximum updated illumination brightness deviation value, which is defined as the final hovering area for adjusting the illumination brightness deviation value;

[0100] S312: Design a sliding mode optimization control law according to the illumination brightness deviation value, and based on the sliding mode optimization control law, perform energy-saving configuration regulation on the magnetic field control configuration parameters of the maglev module to control the maglev bulb to reach the final hovering area, so as to obtain the second energy-saving configuration scheme.

[0101] It should be noted that if the maglev LED lamp cannot control the maglev light co-regulation through the synchronous linkage mechanism, it means that the maglev LED lamp can only achieve energy-saving configuration by separately controlling the parameters of the maglev module and the wireless energy transmission module. However, the traditional independent energy-saving configuration method often results in configuration disorders, leading to large configuration errors. As a result, the final light brightness after independent energy-saving regulation of the two can never reach or be maintained within the energy-saving light brightness standard, reducing the energy-saving dimming accuracy of the maglev LED lamp and increasing the consumption and waste of the light source. Therefore, when the maglev LED lamp cannot control the maglev light co-regulation through the synchronous linkage mechanism, if the maglev bulb wants to make the power reach the ideal energy-saving power threshold range, the corresponding actual light brightness may not meet the target light brightness. Thus, the maglev position of the bulb can be adjusted by utilizing the maglev effect to gradually approach the target light brightness in the application space, realizing the energy-saving configuration strategy without the synchronous linkage control function. To achieve the above strategy, this method first calculates the light brightness deviation value between the reference light brightness value and the target light brightness value corresponding to the output when the bulb is in the ideal energy-saving power threshold range. Since the maglev brightness adjustment strategy stores the brightness adjustment parameters corresponding to controlling the maglev bulb to reach different hovering areas, the preset hovering area is divided into N sub-hovering areas after branching the maglev brightness adjustment strategy according to this light brightness deviation value, so that there are corresponding preset brightness adjustment parameters at the boundary nodes of the sub-hovering areas, improving the hovering control accuracy of the subsequent maglev bulb based on the light brightness deviation value. Then, based on the light brightness deviation value, the boundary node values of each sub-hovering area are analyzed and delimited, so that the sub-hovering area corresponding to the largest updated light brightness deviation value is used as the final hovering area to adjust and eliminate the light brightness deviation value. Through this method, the maglev bulb can be controlled to hover at an appropriate hovering position when it reaches the ideal energy-saving power threshold, thereby changing its light brightness effect, making the actual light brightness approach the target light brightness, ensuring that the light brightness meets the requirements while maintaining the ideal energy-saving power, reducing the large power consumption output, maximizing the energy-saving utilization rate of light, and achieving the energy-saving configuration effect without the synchronous linkage control function.

[0102] It should be noted that for the analysis and delimitation of each sub-hovering area, if the value of the upper boundary node is less than the light intensity deviation value, it indicates that the preset brightness adjustment parameter stored in this sub-hovering area can basically meet the hovering requirements of the light intensity deviation value, that is, there is a preset brightness adjustment parameter that can solve the hovering requirements of the light intensity deviation value, so it is retained as a possible optimal solution. Retain this upper boundary node value from the sub-hovering area; if the value of the lower boundary node is greater than the light intensity deviation value, it means that all possible preset brightness adjustment parameters in this sub-hovering area will exceed the hovering requirements of the light intensity deviation value. Therefore, the solution in this sub-hovering area is not the global optimal solution, so it is necessary to update the light intensity deviation value based on this lower boundary node value to obtain a new light intensity deviation value, ensuring that the selected sub-hovering area can highly meet the hovering requirements of the light intensity deviation value, and can greatly improve the stability and reliability of the final hovering area screening.

[0103] More specifically, the step S108 specifically includes the following steps:

[0104] Apply the first energy-saving configuration scheme and the second energy-saving configuration scheme to the configuration network of the maglev LED lamp, so that the sliding mode control laws in the first energy-saving configuration scheme and the second energy-saving configuration scheme are correspondingly configured on the sliding mode surfaces of the maglev LED lamps in each light distribution sub-domain in the spatial state;

[0105] After the configuration is completed, re-control the maglev LED lamps in each light distribution sub-domain to reach the target light intensity value. At this time, according to the layout pattern of the maglev LED lamps in the application space, obtain the intersection interference area of each light distribution sub-domain in the application space, which is defined as the light superposition area;

[0106] Obtain the actual light intensity value of the light superposition area. If the actual light intensity value is still not within the energy-saving light intensity value range, capture and collect the interference pattern images of the light superposition area through an optical interference device to obtain multiple interference pattern images;

[0107] Based on the edge detection operator, identify and extract several interference fringe features in each interference pattern image and perform image segmentation and positioning on each interference fringe feature to obtain the distribution positions of all interference fringe features, and determine the actual brightness superposition phase difference of the light superposition area according to the distribution positions;

[0108] Based on the energy-saving light intensity value range, preset the brightness superposition phase difference interval for the light superposition area to reach the energy-saving light intensity, calculate the phase deviation ratio of the actual brightness superposition phase difference compared with the brightness superposition phase difference interval, and determine the light amplitude deviation value required for the actual light intensity value of the light superposition area to tend to the energy-saving light intensity value range according to the phase deviation ratio;

[0109] Obtain the irradiation angle adjustment parameters when the magnetic levitation LED lights in each light distribution sub - area are re - controlled to reach the target light brightness value. Introduce the maximum likelihood method to calculate the superposition probability of the light amplitude deviation value generated in the light superposition area caused by the irradiation angle adjustment parameters, and obtain multiple superposition probabilities;

[0110] If the superposition probability is greater than the preset superposition probability, the irradiation angle of the magnetic levitation LED lights is regulated. If the superposition probability is less than the preset superposition probability, the layout positions of the magnetic levitation LED lights in each light distribution sub - area are adjusted to generate an energy - saving configuration optimization scheme.

[0111] It should be noted that when the magnetic levitation LED lights in each light distribution sub - area are in a spatial state to allocate the target light brightness, a sliding mode surface is formed. Therefore, the first energy - saving configuration scheme and the second energy - saving configuration scheme make the configuration state maintain on the sliding mode surface by designing and constructing the corresponding sliding mode control law. The sliding mode control law is a control input designed to make the energy - saving configuration state of the magnetic levitation LED lights reach and maintain the target light brightness allocated by the gain - scheduling on the sliding mode surface. Thus, the energy - saving configuration scheme can change more energy - saving parameters for the actual light brightness configuration of each magnetic levitation LED light according to the different characteristics of the application space, greatly improving the robustness and global stability of the joint energy - saving configuration of magnetic levitation LED lights with different functions compared with the traditional configuration method. When multiple magnetic levitation LED lights configured according to the first energy - saving configuration scheme and the second energy - saving configuration scheme are jointly illuminated, the application space can be in the energy - saving light brightness. However, if the actual light brightness value is still not within the energy - saving light brightness value range, it means that the layout position or irradiation angle of the magnetic levitation LED lights is incorrect, resulting in a deviation in the light amplitude of the light superposition area formed by multiple magnetic levitation LED lights, and the phase difference of the light wave fails to be within the phase difference interval of the energy - saving light brightness. Therefore, it is necessary to analyze and optimize the magnetic levitation LED lights with unreasonable layout positions and irradiation angles. This method determines the actual brightness superposition phase difference of the light superposition area by extracting the distribution position of the light interference fringe features in the light superposition area, and then calculates and determines the light amplitude deviation value that causes this phase deviation ratio according to the phase deviation ratio of the actual brightness superposition phase difference compared with the brightness superposition phase difference interval. Finally, the superposition probability of the light amplitude deviation value generated in the light superposition area caused by the irradiation angle adjustment parameters can be calculated based on the irradiation angle adjustment parameters. If the superposition probability is greater than the preset superposition probability, it means that the irradiation angle causes the light amplitude deviation, so the irradiation angle of the magnetic levitation LED lights is regulated; otherwise, it means that the layout position of the magnetic levitation LED lights is unreasonable, so the layout positions of the magnetic levitation LED lights in each light distribution sub - area are adjusted. This method can optimize the layout position factors and irradiation angle factors when the magnetic levitation LED lights are superposed and irradiated, so as to ensure that the light brightness in the superposition irradiation area is more energy - saving, reduce the power consumption output of the magnetic levitation LED lights, and improve the energy - saving rate of space energy - saving lighting.

[0112] In addition, the energy-saving configuration method of the magnetic levitation LED lamp further includes the following steps:

[0113] Obtain the reflection material information of the optical lamp cover on the magnetic levitation LED lamp, and retrieve and obtain the standard light absorption refractive index of the lamp cover in the big data network based on the reflection material information;

[0114] Obtain the installation pattern configuration of all the reflection materials on the optical lamp cover, and obtain the predetermined refraction vectors formed between each reflection material according to the installation pattern configuration; wherein, the predetermined refraction vectors include the refraction direction and the refraction angle magnitude;

[0115] Obtain the optical knowledge graph based on the big data network, import the predetermined refraction vectors formed between each reflection material into the optical knowledge graph for identification to obtain the predetermined refraction characteristics of the lamp housing, and analyze and determine the predetermined refraction light collection amount of the optical lamp housing in combination with the predetermined refraction characteristics and the standard light absorption refractive index;

[0116] Obtain the target irradiation area and irradiation requirements of the magnetic levitation LED lamp, extract the target energy-saving light irradiation brightness through the irradiation requirements, introduce the ray tracing algorithm to simulate and trace the light path of the predetermined refraction light collection amount, generate several light propagation paths, and quantify the target energy-saving light irradiation brightness based on the several light propagation paths to obtain the actual light irradiation brightness of the lamp housing refracting the magnetic levitation LED lamp reaching the target irradiation area;

[0117] If the actual light irradiation brightness does not reach the target energy-saving light irradiation brightness, calculate the hash value between the actual light irradiation brightness and the target energy-saving light irradiation brightness;

[0118] Based on the hash value, adjust the hovering control strategy of the magnetic levitation module for the magnetic levitation bulb to ensure that the magnetic levitation bulb hovers in the hovering area where the light brightness refracted by the optical lamp housing can reach the target energy-saving light irradiation brightness.

[0119] It should be noted that in order to reduce the waste of light source irradiation consumption and improve the utilization rate of light irradiation, existing maglev LED lights usually have an optical lamp cover or lamp housing that can fully refract the light source above the maglev area of the bulb. However, the optical lamp cover is usually composed of multiple groups of optical reflection materials, and the installation patterns are diverse. Different installation patterns can achieve different angles, directions, and refracting and condensing light irradiation effects. Therefore, this method determines whether the actual brightness of the light condensed and irradiated by the optical lamp cover of the maglev LED lamp can meet the target energy-saving light brightness requirement. If not, the suspension position relationship between the maglev bulb and the optical lamp cover can be adjusted through intelligent control, thereby changing the refracting and condensing amount of the light source, so that the final maglev bulb hovers at a position where the actual light brightness refracted by the optical lamp housing can reach the target energy-saving light irradiation brightness. On the one hand, it meets the actual energy-saving irradiation requirements of the maglev LED lamp with high reliability. On the other hand, it reduces the overall power output of the maglev LED lamp, maximizes the utilization rate of light, ensures that more light can be effectively distributed in the area that needs lighting, reduces the number of lamps and the light power output, and has high economic benefits.

[0120] In addition, the energy-saving configuration method of the maglev LED lamp further includes the following steps:

[0121] Obtain the actual application scenario of the maglev LED lamp, and detect the actual application scenario through the built-in vibration sensor of the maglev LED lamp to obtain the vibration frequency data currently received by the maglev LED lamp;

[0122] Obtain the current magnetic field control parameters of the maglev module, and retrieve and obtain the current magnetic field resistance coefficient within the preset hovering area based on the current magnetic field control parameters in the big data network;

[0123] Taking the current magnetic field resistance coefficient as a constraint condition, constrain and plan the vibration range of the current maglev bulb according to the vibration frequency data to obtain the actual vibration range of the current maglev bulb within the preset hovering area;

[0124] Preset the target energy-saving light brightness, obtain multiple real-time power consumption values of the current maglev bulb during sequential vibration within the preset hovering area when reaching the target energy-saving light brightness through a light sensor, and calculate the real-time power consumption change rate by combining the multiple real-time power consumption values;

[0125] If the real-time power consumption change rate is greater than the preset power consumption change rate, obtain the best energy-saving power consumption threshold for the current maglev bulb to output the target energy-saving light brightness, and calculate the sequential power consumption gradient difference between the best energy-saving power consumption threshold and each real-time power consumption value;

[0126] Gradually and recursively reduce the actual vibration range according to the optimal energy-saving power consumption threshold until the time-sequential power consumption gradient difference is reached, obtain the stable hovering position of the finally vibration-reduced state, and acquire the magnetic field regulation parameters for the magnetic levitation module to control the magnetic levitation bulb to reach the stable hovering position. Configure the magnetic levitation LED lamp according to the magnetic field regulation parameters.

[0127] It should be noted that the magnetic levitation LED lamp can be applied to different illumination scenarios. However, for some specific application scenarios, there are certain vibration behaviors. For example, in construction sites, decoration sites or production workshops, the vibration phenomena generated in these application scenarios will cause the magnetic levitation bulb to shake continuously in its preset hovering area, making the power output of the infinite energy transmission module for the magnetic levitation bulb unstable, thus increasing the power consumption output during power transmission, greatly increasing the energy consumption of the magnetic levitation LED lamp, and not meeting the energy-saving and environmental protection usage requirements. Therefore, this method can analyze the change in the power consumption output of the bulb based on the vibration phenomenon of the magnetic levitation LED lamp in the current application scenario. Calculate the time-sequential power consumption gradient difference between the optimal energy-saving power consumption threshold and each real-time power consumption value, and gradually and recursively reduce the actual vibration range according to the optimal energy-saving power consumption threshold, so as to plan a stable hovering position that can make the magnetic levitation bulb have the optimal energy-saving power output, thereby further reducing the excessively high power consumption value of the magnetic levitation LED lamp in the vibration application environment, improving the energy-saving and environmental protection index of the magnetic levitation LED lamp, avoiding additional energy consumption caused by unreasonable environmental factors, achieving the intelligent energy-saving control effect of the magnetic levitation LED lamp for different scenarios, and ensuring that the magnetic levitation LED lamp has higher energy-saving performance and longer service life.

[0128] The second aspect of the present invention provides a configuration device for a magnetic levitation LED lamp, as Figure 4 shown. The configuration device includes a memory 41 and a processor 42. A program for an energy-saving configuration method of a magnetic levitation LED lamp is stored in the memory 41. When the program for the energy-saving configuration method of a magnetic levitation LED lamp is executed by the processor 42, the steps of any one of the energy-saving configuration methods of a magnetic levitation LED lamp are implemented.

[0129] The third aspect of the present invention provides a computer-readable storage medium. The computer-readable storage medium stores a computer detection program. When the computer detection program is executed by at least one processor, the energy-saving configuration method of any one of the magnetic levitation LED lamps is implemented.

[0130] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An energy-saving configuration method for a maglev LED lamp, characterized in that, It includes the following steps: S102: Obtain the current illumination brightness value of the magnetic levitation LED lamp in the illumination distribution sub - domain of the application space. Based on the current illumination brightness value, allocate the gain scheduling of the energy - saving illumination brightness value range for each illumination distribution sub - domain to form a sliding mode surface, and generate the target illumination brightness value of the magnetic levitation LED lamp in each illumination distribution sub - domain; S104: If the magnetic levitation LED lamp can control the magnetic levitation illumination collaborative regulation through the synchronous linkage mechanism, then analyze the power gap between the abnormal output power and the ideal energy - saving output power according to the trend of the abnormal power time - series peak value output when the magnetic levitation bulb reaches the target illumination brightness value. Combine the power gap and the magnetic field disturbance index to design the sliding - mode compensation control law of the magnetic field control configuration parameters, and obtain the first energy - saving configuration scheme; S106: If the magnetic levitation LED lamp cannot control the magnetic levitation illumination collaborative regulation through the synchronous linkage mechanism, then obtain the magnetic levitation brightness adjustment strategy. Select the points in the hovering area controlled by the magnetic levitation brightness adjustment strategy based on the illumination brightness deviation value between the target illumination brightness value and the reference illumination brightness value to obtain the final hovering area. Design the sliding - mode adjustment control law to reach the final hovering area based on the illumination brightness deviation value, and obtain the second energy - saving configuration scheme; S108: Analyze and calculate the superposition probability of the illumination amplitude deviation value generated in the illumination superposition area caused by the irradiation angle adjustment parameter according to the configuration states of the first energy - saving configuration scheme and the second energy - saving configuration scheme on the sliding mode surface. Optimize the irradiation angle and layout position of the magnetic levitation LED lamp based on the superposition probability, and generate the optimized energy - saving configuration scheme; Among them, the S104 step specifically includes the following steps: Obtain the product structure design information of the magnetic levitation LED lamp, and judge whether the magnetic levitation LED lamp in each illumination distribution sub - domain can control the magnetic levitation illumination collaborative regulation through the synchronous linkage mechanism according to the product structure design information; If the magnetic levitation LED lamp can control the magnetic levitation illumination collaborative regulation through the synchronous linkage mechanism, then obtain the preset linkage control strategy for the magnetic levitation LED lamp to execute the synchronous linkage mechanism. Control the magnetic levitation LED lamp to execute the preset linkage control strategy to reach the target illumination regulation value. At this time, obtain several actual power values during the process of the magnetic levitation bulb reaching the target illumination brightness value at the preset time series; Obtain the rated power threshold range of the magnetic levitation bulb, set the abnormal power interval according to the rated power threshold range, and judge whether each actual power value is within the abnormal power interval. If it is, mark this actual power value as an abnormal power value, and draw a time - series peak value trend chart of the abnormal power through all abnormal power values; Obtain the ideal energy - saving power threshold interval of the magnetic levitation LED bulb outputting the target illumination brightness value in the big data network based on the product structure design information and the rated power threshold range, and draw a time - series peak value trend chart of the ideal energy - saving power according to the ideal energy - saving power threshold interval; The normal mean shift algorithm is introduced to calculate the drift degree between the time-series peak trend graph of the abnormal power and the time-series peak trend graph of the ideal energy-saving power, so as to obtain the drift amplitude, and the power gap between the abnormal power and the ideal energy-saving power is determined according to the drift amplitude; The magnetic flux density motion equation when the magnetic levitation module and the wireless energy transmission module form a spatial coupling effect to output the target illumination brightness value is constructed, and the magnetic flux density motion equation is analyzed based on the preset magnetic field characteristic mode of the magnetic levitation module to determine the magnetic field perturbation index of the magnetic levitation module for the wireless energy transmission module; Combined with the power gap and the magnetic field perturbation index, a sliding mode compensation control law is designed, and based on the sliding mode compensation control law, the energy-saving configuration compensation is carried out on the magnetic field control configuration parameters when the magnetic levitation module executes the preset linkage control strategy to reach the target illumination regulation value, and the first energy-saving configuration scheme is obtained; Among them, constructing the magnetic flux density motion equation when the magnetic levitation module and the wireless energy transmission module form a spatial coupling effect to output the target illumination brightness value, and analyzing the magnetic flux density motion equation based on the preset magnetic field characteristic mode of the magnetic levitation module to determine the magnetic field perturbation index of the magnetic levitation module for the wireless energy transmission module specifically includes the following steps: Obtain the spatial distribution structure of the magnetic levitation module and the wireless energy transmission module, and based on the spatial distribution structure, model reconstruction is carried out in the multi-dimensional model design software to obtain the spatial coupling simulation model formed by the magnetic levitation module and the wireless energy transmission module; Extract a number of historical power-on parameters when the magnetic levitation module and the wireless energy transmission module form a spatial coupling effect to output the target illumination brightness value through the energy-saving log of the magnetic levitation LED lamp, and configure and control the spatial coupling simulation model based on the number of historical power-on parameters to perform simulation simulations at different preset timestamp nodes to obtain multiple spatial coupling effect coefficients; Based on the energy-saving log, extract the induced electromotive force data and the current distribution vector data when the wireless energy transmission module generates multiple spatial coupling effect coefficients, and establish the magnetic flux density motion equation according to the induced electromotive force data and the current distribution vector data; Obtain the model specification parameters of the magnetic levitation module, and retrieve the preset magnetic field characteristics of the magnetic levitation module in the big data network according to the model specification parameters of the magnetic levitation module; Solve the natural frequency and the modal shape eigenvalue of the magnetic flux density motion equation according to the preset magnetic field characteristics, perform modal orthogonal normalization processing on the magnetic flux density motion equation based on the natural frequency and the modal shape eigenvalue, and expand the magnetic flux density motion equation to obtain the modal expansion formula of the magnetic flux density motion; Substitute the modal expansion formula into the magnetic flux density motion equation to generate the magnetic flux density motion equation in different modes, and solve the magnetic flux density motion equation in different modes based on multiple spatial coupling effect coefficients to obtain the historical magnetic flux density when the wireless energy transmission module outputs to the target illumination brightness value under the spatial coupling effect; Obtain the model specification parameters of the wireless energy transmission module, and retrieve the established magnetic flux density when the wireless energy transmission module outputs to the target illumination brightness value in the big data network according to the model specification parameters of the wireless energy transmission module; Calculate the hash state function between the historical magnetic flux density and the established magnetic flux density, and determine the magnetic field perturbation index of the magnetic levitation module for the wireless energy transmission module according to the hash state function; Among them, the step S106 specifically includes the following steps: If the magnetic levitation LED lamp cannot control the magnetic levitation light co-regulation through the synchronous linkage mechanism, obtain the reference light brightness value corresponding to the output when the magnetic levitation LED bulb is in the ideal energy-saving power threshold range based on the big data network; Obtain the preset hovering area of the magnetic levitation LED bulb and the magnetic levitation brightness adjustment strategy for controlling the movement of the magnetic levitation LED bulb within the preset hovering area, calculate the deviation value between the reference light brightness value and the target light brightness value, and obtain the light brightness deviation value; Branch the magnetic levitation brightness adjustment strategy according to the light brightness deviation value to obtain preset brightness adjustment parameters under different hovering areas, and divide the preset hovering area into N sub-hovering areas based on the preset brightness adjustment parameters under different hovering areas; For each sub-hovering area, obtain the upper boundary node value and the lower boundary node value of the sub-hovering area. If the upper boundary node value is less than the light brightness deviation value, retain the upper boundary node value in the sub-hovering area; if the lower boundary node value is greater than the light brightness deviation value, update the light brightness deviation value based on the lower boundary node value to obtain the updated light brightness deviation value; Globally update the upper and lower boundaries of the sub-hovering area according to the updated light brightness deviation value to obtain a new sub-hovering area, and repeat the above steps to continuously branch and update the remaining sub-hovering areas until all sub-hovering areas are branched and updated. Output the sub-hovering area corresponding to the maximum updated light brightness deviation value, which is defined as the final hovering area for adjusting the light brightness deviation value; Design a sliding mode control law according to the light brightness deviation value, and perform energy-saving configuration regulation on the magnetic field control configuration parameters for the magnetic levitation module to control the magnetic levitation bulb to reach the final hovering area based on the sliding mode control law, and obtain a second energy-saving configuration scheme.

2. The energy-saving configuration method of a maglev LED lamp according to claim 1, characterized in that The step S102 specifically includes the following steps: Obtain the application space of the magnetic levitation LED lamp and the layout pattern in the application space, construct a virtual three-dimensional space domain based on the application space, and plan a light distribution sub-domain of the magnetic levitation LED lamp in the virtual three-dimensional space domain according to the layout pattern; Obtain the dynamic behavior feature set and dynamic environment feature set of the current application space for the magnetic levitation LED lamp, introduce an exhaustive algorithm to calculate the feature discrete combination of the dynamic behavior feature set and the dynamic environment feature set, and generate multiple groups of dynamic feature discrete representatives; Retrieve and obtain the energy-saving light brightness value range of the current application space in the big data network based on multiple groups of dynamic feature discrete representatives, and at the same time obtain the current light brightness value of each light distribution sub-domain; Introduce the gain scheduling allocation method, and calculate the gain scheduling function of each energy-saving light brightness value in the energy-saving light brightness value range according to the current light brightness value of each light distribution sub-domain in the gain scheduling allocation method; Define the energy-saving illumination brightness value range as the spatial state of the application space, establish a gain scheduling allocation strategy for the energy-saving illumination brightness value range for each illumination allocation sub-domain based on the gain scheduling function, and linearly combine the gain scheduling allocation strategies of each illumination allocation sub-domain on the spatial state to form a sliding mode surface of each illumination allocation sub-domain on the spatial state; Obtain the configuration network of the magnetic levitation LED lamp, apply the sliding mode surface of each illumination allocation sub-domain on the spatial state to the gain scheduling of allocating illumination brightness in the configuration network, and finally generate the target illumination brightness values of the magnetic levitation LED lamps in each illumination allocation sub-domain.

3. A method for energy-saving configuration of a maglev LED lamp according to claim 1, characterized in that, The step S108 specifically includes the following steps: Apply the first energy-saving configuration scheme and the second energy-saving configuration scheme to the configuration network of the magnetic levitation LED lamp, so that the sliding mode control laws in the first energy-saving configuration scheme and the second energy-saving configuration scheme correspondingly maintain being configured on the sliding mode surfaces of the magnetic levitation LED lamps in each illumination allocation sub-domain on the spatial state; After the configuration is completed, re-control the magnetic levitation LED lamps in each illumination allocation sub-domain to reach the target illumination brightness value. At this time, obtain the intersection interference area of each illumination allocation sub-domain in the application space according to the layout pattern of the magnetic levitation LED lamps in the application space, and define it as the illumination superposition domain; Obtain the actual illumination brightness value of the illumination superposition domain. If the actual illumination brightness value is still not within the energy-saving illumination brightness value range, capture and collect the interference pattern images of the illumination superposition domain through an optical interference device to obtain a plurality of interference pattern images; Based on the edge detection operator, identify and extract several interference fringe features in each interference pattern image and perform image segmentation and positioning on each interference fringe feature to obtain the distribution positions of all interference fringe features, and determine the actual brightness superposition phase difference of the illumination superposition domain according to the distribution positions; Based on the energy-saving illumination brightness value range, preset the brightness superposition phase difference interval for the illumination superposition domain to reach the energy-saving illumination brightness, calculate the phase deviation ratio of the actual brightness superposition phase difference compared with the brightness superposition phase difference interval, and determine the illumination amplitude deviation value required for the actual illumination brightness value of the illumination superposition domain to tend to the energy-saving illumination brightness value range according to the phase deviation ratio; Obtain the irradiation angle adjustment parameter when re-controlling the magnetic levitation LED lamps in each illumination allocation sub-domain to reach the target illumination brightness value, introduce the maximum likelihood method to calculate the superposition probability of the irradiation angle adjustment parameter causing the illumination amplitude deviation value in the illumination superposition domain, and obtain a plurality of superposition probabilities; If the superposition probability is greater than the preset superposition probability, adjust the irradiation angle of the magnetic levitation LED lamp. If the superposition probability is less than the preset superposition probability, adjust the layout positions of the magnetic levitation LED lamps in each illumination allocation sub-domain to generate an energy-saving configuration optimization scheme.

4. A configuration device for a maglev LED lamp, characterized in that, The configuration device includes a memory and a processor, and the memory stores A program for the energy-saving configuration method of a magnetic levitation LED lamp. When the program for the energy-saving configuration method of a magnetic levitation LED lamp is executed by the processor, it realizes the steps of the energy-saving configuration method of a magnetic levitation LED lamp as described in any one of claims 1-3.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer detection program, which, when executed by at least one processor, implements an energy-saving configuration method for a magnetic levitation LED lamp as described in any one of claims 1-3.

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