A lighting system based on organic electroluminescent material

Abstract

The present invention provides a lighting system based on organic electroluminescent materials, which relates to the field of lighting technology, and includes: a target determination module: used to obtain the lighting needs of target users of the lighting system, and determine a first lighting adjustment target based on the lighting needs; a target optimization module: used to obtain the regional characteristics of the target lighting area, thereby optimizing the first lighting adjustment target based on the lighting area to obtain a first optimization target; a state adjustment module: used to monitor the ambient light and the user activities of the target user in real time based on a preset sensor, thereby adjusting the lighting state in real time in combination with the first optimization target; a strategy optimization module: used to optimize and adjust the lighting system and the control strategy based on the user feedback of the target user to obtain the best lighting solution. By combining the user lighting needs and the characteristics of the lighting area to accurately adjust the lighting of the lighting system based on organic electroluminescent materials, the lighting of the target area is more accurate and effective.

Description

Technical Field

[0001] The present invention relates to the field of lighting technology, and in particular to a lighting system based on organic electroluminescent materials. Background Art

[0002] At present, organic electroluminescent devices, as a new generation of display devices, have many advantages, such as brilliant colors, self-luminescence, wide viewing angle, fast response speed, wide temperature range, good shock resistance, etc. In recent years, organic electroluminescent materials have been industrialized in display applications and have made great progress in lighting, electronic paper and other fields. In addition, organic electroluminescent materials have a wide range of sources, strong operability and good flexibility, which makes them have great application prospects and practical value in medical, military, and automotive lighting.

[0003] However, the existing lighting systems based on organic electroluminescent materials still have deficiencies in the regulation of carrier recombination zones, electrode modification methods, and material selection, which affect the luminous efficiency and stability of the system. Therefore, exploring simple, cheap, environmentally friendly, and effective electrode modification methods and new organic electroluminescent materials is crucial to improving the performance of lighting systems based on organic electroluminescent materials.

[0004] Therefore, the present invention provides a lighting system based on organic electroluminescent materials. Summary of the invention

[0005] The present invention provides a lighting system based on organic electroluminescent materials, which is used to accurately adjust the lighting of the lighting system based on organic electroluminescent materials by combining user lighting needs and lighting area characteristics, so that the lighting of the target area is more accurate and effective.

[0006] The present invention provides a lighting system based on organic electroluminescent materials, comprising:

[0007] A target determination module is used to obtain the lighting requirements of the target users of the lighting system and determine the first lighting adjustment target based on the lighting requirements;

[0008] Target optimization module: used to obtain the regional characteristics of the target lighting area so as to optimize the first lighting adjustment target based on the lighting area to obtain the first optimization target;

[0009] State adjustment module: used for real-time monitoring of ambient light and user activities of target users based on preset sensors, so as to adjust the lighting state in real time in combination with the first optimization goal;

[0010] Strategy optimization module: used to optimize the lighting system and control strategy based on user feedback from target users to obtain the best lighting solution.

[0011] The target determination module provided by the present invention includes:

[0012] An initial lighting unit: used to obtain user requirements of target users of the lighting system based on organic electroluminescent materials, and determine an initial lighting adjustment target of the lighting system based on the user requirements of the target users;

[0013] Error adjustment unit: used to obtain the historical lighting requirements of the target user and the corresponding historical lighting results, and determine the lighting difference of each historical lighting requirement and historical lighting result, and extract the historical lighting requirements and corresponding historical lighting results whose lighting difference is less than the preset difference as the error adjustment set;

[0014] The first lighting unit is configured to adjust the initial lighting adjustment target based on the error adjustment set to obtain a first lighting adjustment target.

[0015] The target optimization module provided by the present invention includes:

[0016] Parameter determination unit: used to obtain the regional characteristics of the target lighting area and obtain the first regional parameter;

[0017] Adaptation optimization unit: used for determining the regional adaptation degree between the first lighting adjustment target and the target lighting area based on the first area parameter;

[0018] If the regional adaptation degree between the first lighting adjustment target and the target lighting area is higher than the preset minimum regional adaptation degree, it is not necessary to optimize the first lighting adjustment target;

[0019] Otherwise, it is necessary to adjust and optimize the first lighting adjustment target based on the first area parameter of the target lighting area to obtain the first optimization target.

[0020] The adaptation optimization unit provided according to the present invention includes:

[0021] An adaptation determination subunit: configured to determine a regional adaptation degree T between the first lighting adjustment target and the target lighting area based on the first area parameter;

[0022] ; Where T is the regional adaptation degree, The real-time integrated light intensity of the target lighting area. is the expected light intensity, is the light intensity conversion coefficient, For real-time color temperature, is the desired color temperature, is the upper limit of color temperature of the target lighting system, is the lower limit of color temperature of the target lighting system, is the color temperature conversion coefficient, is the illumination intensity of the i-th illumination detection point in the target illumination area, is the uniformity adjustment index, n is the number of lighting detection points in the target lighting area, is the first influence weight of light intensity on regional adaptation degree, is the second influence weight of color temperature on regional adaptation, is the third impact weight of uniformity on the degree of regional adaptation;

[0023] Adaptation adjustment subunit: used to compare the regional adaptation degree with the preset minimum regional adaptation degree, so as to determine whether the regional adaptation degree of the target lighting area is higher than the preset minimum regional adaptation degree;

[0024] If the regional adaptation degree of the target lighting area is higher than the preset minimum regional adaptation degree, there is no need to optimize the first lighting adjustment target;

[0025] If the regional adaptation degree of the target lighting area is not higher than the preset minimum regional adaptation degree, the regional adaptation degree of the target lighting area is used as the initial regional adaptation degree;

[0026] Acquire a conventional regional function of the target lighting area, thereby determining a lighting preference corresponding to the conventional regional function, and perform adaptation optimization on the initial regional adaptation degree based on the lighting preference, thereby obtaining a first regional adaptation degree of the target lighting area;

[0027] An adjustment difference subunit: used for taking the corresponding difference between the first lighting adjustment target of the target lighting area corresponding to the first area adaptation degree and the first area parameter as the first adjustment difference;

[0028] An instruction difference subunit: configured to extract a difference adjustment instruction corresponding to the first adjustment difference from a difference adjustment database based on the first adjustment difference;

[0029] The adjustment subunit is used to make a first adjustment to the first lighting adjustment target of the target lighting area based on the difference adjustment instruction to obtain a first adjustment adjustment target;

[0030] A virtual verification subunit: used for inputting the first adjustment target and the real-time lighting parameters of the target lighting system into a preset lighting virtual machine, thereby obtaining a virtual lighting result;

[0031] A virtual adjustment subunit: used for judging whether the first adjustment target can be adjusted in combination with the target lighting system based on the virtual lighting result;

[0032] If the adjustment can be performed in combination with the target lighting system, the first adjustment target is used as the first optimization target of the target lighting system.

[0033] The state adjustment module provided by the present invention includes:

[0034] The first monitoring unit is used to monitor the real-time ambient light intensity and real-time user activity of the target lighting area based on a preset sensor;

[0035] Solution judgment unit: used to judge the real-time lighting solution based on the monitored real-time ambient light intensity and real-time user activity;

[0036] Comparison optimization unit: used for comparing the real-time lighting scheme with the first optimization target, so as to determine whether the first optimization target can meet the lighting requirements of the real-time lighting scheme;

[0037] If it is satisfied, it is determined whether the first optimization goal enables the target lighting system to perform stable adjustment of the lighting state, so as to adjust the lighting state of the target lighting system in real time based on the first optimization goal capable of performing stable adjustment of the lighting state of the target lighting system.

[0038] The comparison optimization unit provided by the present invention includes:

[0039] A first judgment subunit is used to obtain real-time lighting parameters of the target lighting system, and compare the real-time lighting parameters with the first optimization target, so as to determine the parameter adjustment index of each lighting sub-parameter in the real-time lighting parameters;

[0040] A second judgment subunit is used to judge, based on the parameter adjustment index, whether the corresponding lighting sub-parameter in the first optimization objective can enable the target lighting system to adjust the lighting state stably;

[0041] If the lighting state can be stably adjusted, the lighting state of the target lighting system is adjusted in real time based on the first optimization goal.

[0042] The strategy optimization module provided by the present invention includes:

[0043] A first feedback unit is used to determine the lighting control of the target lighting system based on the first optimization target, so as to obtain the brightness adjustment status of the target terminal user in the target lighting area after the lighting control is performed in the target lighting area, and obtain the first reference feedback;

[0044] The second feedback unit is used to obtain lighting feedback from the target terminal users in the target lighting area to obtain the second reference feedback:

[0045] Comprehensive feedback unit: used for combining the first reference feedback and the second reference feedback to obtain a first comprehensive feedback;

[0046] Feedback defect unit: used to sort and classify the comprehensive feedback results, so as to conduct classification analysis and determine the lighting defects of the target lighting system;

[0047] Defect optimization unit: used for comparing the lighting defect of the target lighting system with the lighting defect of the preset defect-strategy database, so as to determine the defect optimization strategy corresponding to the lighting defect of the target lighting system;

[0048] Optimization control unit: used to control and optimize the target lighting system based on the defect optimization strategy, so as to obtain the best lighting solution for the target lighting area.

[0049] The strategy optimization module provided by the present invention also includes:

[0050] Lighting inspection unit: used to obtain lighting feedback from end users in the target lighting area in real time when lighting control is performed on the target lighting area based on the optimal lighting solution;

[0051] If, during lighting control, the number of lighting adjustments made by the regional end users in the target lighting area is less than the preset number of adjustments, it is determined that the optimal lighting solution can meet the lighting needs of the target lighting area;

[0052] If, during lighting control, the number of lighting adjustments made by regional end users in the target lighting area is not less than a preset number of adjustments, it is necessary to optimize the lighting solution based on the real-time lighting feedback from regional end users.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a lighting system based on organic electroluminescent materials, which accurately adjusts the lighting of the lighting system based on organic electroluminescent materials by combining the user's lighting needs and the characteristics of the lighting area, making the lighting of the target area more accurate and effective. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 This is a flow chart of a lighting system based on organic electroluminescent materials provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Embodiment 1:

[0058] The embodiment of the present invention provides a lighting system based on organic electroluminescent materials, such as Figure 1 As shown, including:

[0059] A target determination module is used to obtain the lighting requirements of the target users of the lighting system and determine the first lighting adjustment target based on the lighting requirements;

[0060] Target optimization module: used to obtain the regional characteristics of the target lighting area so as to optimize the first lighting adjustment target based on the lighting area to obtain the first optimization target;

[0061] State adjustment module: used for real-time monitoring of ambient light and user activities of target users based on preset sensors, so as to adjust the lighting state in real time in combination with the first optimization goal;

[0062] Strategy optimization module: used to optimize the lighting system and control strategy based on user feedback from target users to obtain the best lighting solution.

[0063] In this embodiment, the lighting system generally refers to a general term for equipment, devices or systems for providing lighting, which may include lamps, light sources, controllers and other components to meet people's lighting needs in different occasions.

[0064] In this embodiment, the target user refers to the main user or service object of the lighting system.

[0065] In this embodiment, lighting demand refers to the specific requirements of the target user for lighting in a specific occasion, such as brightness, color temperature, color, etc. These requirements may vary depending on factors such as occasion, time, personal preference, etc.

[0066] In this embodiment, the first lighting adjustment target is a lighting adjustment target that is initially set based on the lighting needs of the target user, including specific parameter values ​​such as brightness and color temperature.

[0067] In this embodiment, the target lighting area refers to a specific area or space that needs to be adjusted for lighting. The characteristics of this area (such as size, layout, purpose, etc.) will affect the design and adjustment of the lighting system.

[0068] In this embodiment, the regional characteristics refer to the characteristics of the target lighting area, such as space size, shape, wall color, furniture layout, etc.

[0069] In this embodiment, the first optimization target is a lighting target obtained by optimizing the first lighting adjustment target based on the regional characteristics of the target lighting area.

[0070] In this embodiment, the preset sensor refers to a sensor or detector preset in the lighting system, which is used to monitor the ambient light and user activities in real time.

[0071] In this embodiment, the user activity refers to the activity status of the target user in the target lighting area, such as still, walking, working, resting, etc. These activity conditions will affect the demand for lighting, and therefore need to be considered when adjusting the lighting.

[0072] In this embodiment, the lighting state refers to the current operating state of the lighting system, including parameters such as brightness, color temperature, and color.

[0073] In this embodiment, user feedback refers to the evaluation and opinions of target users on the lighting system and its control strategy. User feedback can help system developers or maintenance personnel to optimize and adjust the lighting system and its control strategy.

[0074] In this embodiment, the best lighting solution is the best lighting solution obtained after optimization and adjustment based on the lighting needs of the target users, the regional characteristics of the target lighting area, the real-time monitoring data of the preset sensors and the user feedback.

[0075] The beneficial effect of the above technical solution is: by combining the user's lighting needs and the characteristics of the lighting area, the lighting system based on organic electroluminescent materials can be accurately adjusted, making the lighting of the target area more accurate and effective.

[0076] Embodiment 2:

[0077] Based on Example 1, the target determination module includes:

[0078] An initial lighting unit: used to obtain user requirements of target users of the lighting system based on organic electroluminescent materials, and determine an initial lighting adjustment target of the lighting system based on the user requirements of the target users;

[0079] Error adjustment unit: used to obtain the historical lighting requirements of the target user and the corresponding historical lighting results, and determine the lighting difference of each historical lighting requirement and historical lighting result, and extract the historical lighting requirements and corresponding historical lighting results whose lighting difference is less than the preset difference as the error adjustment set;

[0080] The first lighting unit is configured to adjust the initial lighting adjustment target based on the error adjustment set to obtain a first lighting adjustment target.

[0081] In this embodiment, the lighting system generally refers to a general term for equipment, devices or systems for providing lighting, which may include lamps, light sources, controllers and other components to meet people's lighting needs in different occasions.

[0082] In this embodiment, the target user refers to the main user or service object of the lighting system.

[0083] In this embodiment, user demand refers to the specific requirements of the target user for lighting in a specific occasion, such as brightness, color temperature, color, etc. These requirements may vary depending on factors such as occasion, time, personal preference, etc.

[0084] In this embodiment, the initial lighting adjustment target is a lighting adjustment target preliminarily set based on the lighting needs of the target user, including specific parameter values ​​such as brightness and color temperature.

[0085] In this embodiment, the historical lighting demand refers to the target user's specific demand or preference record for the lighting system in the past period of time. These demands may include brightness requirements in a specific time period, color temperature preferences in a specific scene, etc.

[0086] In this embodiment, the historical lighting results refer to the lighting effects or parameters achieved by the lighting system in the past period of time according to the historical lighting requirements. These results may be recorded through sensors, user feedback, or system logs.

[0087] In this embodiment, the lighting difference refers to the difference between the historical lighting results and the corresponding historical lighting requirements. The lighting difference may be caused by various factors, such as light source performance, control system accuracy, environmental factors, etc.

[0088] In this embodiment, the preset difference refers to a threshold or tolerance range set when judging the lighting difference. If the difference between the historical lighting result and the expected target included in the historical lighting demand is less than this threshold, the lighting effect is considered to be acceptable.

[0089] In this embodiment, the error adjustment set refers to a set of records screened from historical lighting requirements and corresponding historical lighting results, in which the lighting difference is less than the preset difference. The error adjustment set can be used to adjust and optimize the adjustment target of the lighting system to improve the accuracy and stability of the lighting effect.

[0090] In this embodiment, the first lighting adjustment target refers to a new lighting parameter or adjustment target obtained after the initial lighting adjustment target is adjusted based on the error adjustment set.

[0091] The beneficial effect of the above technical solution is: by determining the initial lighting adjustment target based on user needs, and adjusting it in combination with historical lighting needs and historical lighting results, a first lighting adjustment target is obtained, which can make the lighting adjustment target more accurate, thereby combining the characteristics of the lighting area to accurately adjust the lighting system based on organic electroluminescent materials, making the lighting of the target area more accurate and effective.

[0092] Embodiment 3:

[0093] Based on Example 2, the target optimization module includes:

[0094] Parameter determination unit: used to obtain the regional characteristics of the target lighting area and obtain the first regional parameter;

[0095] Adaptation optimization unit: used for determining the regional adaptation degree between the first lighting adjustment target and the target lighting area based on the first area parameter;

[0096] If the regional adaptation degree between the first lighting adjustment target and the target lighting area is higher than the preset minimum regional adaptation degree, it is not necessary to optimize the first lighting adjustment target;

[0097] Otherwise, it is necessary to adjust and optimize the first lighting adjustment target based on the first area parameter of the target lighting area to obtain the first optimization target.

[0098] In this embodiment, the target lighting area refers to a specific area or space that needs to be adjusted for lighting. The characteristics of this area (such as size, layout, purpose, etc.) will affect the design and adjustment of the lighting system.

[0099] In this embodiment, the regional characteristics refer to the characteristics of the target lighting area, such as space size, shape, wall color, furniture layout, and area size, shape, function, frequency of use, ambient light conditions, etc.

[0100] In this embodiment, the first area parameters refer to a set of parameters extracted or calculated based on the regional characteristics of the target lighting area. For example, the first area parameters include the size of the area, lighting requirements, color temperature preference, brightness requirements, etc., which are used for the formulation of subsequent lighting adjustment goals and the judgment of the degree of adaptation.

[0101] In this embodiment, the regional adaptation degree refers to the matching degree between the lighting adjustment target and the actual requirements or characteristics of the target lighting area, and this degree can be evaluated by comparing the difference between the lighting adjustment target and the regional parameters.

[0102] In this embodiment, the preset minimum regional adaptation degree refers to a threshold value set when judging whether the lighting adjustment target needs to be optimized. If the regional adaptation degree between the lighting adjustment target and the target lighting area is higher than this threshold, the lighting adjustment target is considered acceptable and does not need to be optimized; otherwise, adjustment optimization is required.

[0103] In this embodiment, optimization refers to adjusting and improving the existing lighting adjustment target to improve its adaptability to the target lighting area. The optimization may involve fine-tuning parameters such as brightness, color temperature, and color saturation to ensure that the lighting effect better meets the needs and preferences of the target users.

[0104] In this embodiment, the first optimization target refers to an optimized lighting parameter or adjustment target, and the first optimization target is obtained based on a first area parameter of the target lighting area and an evaluation and optimization of the first lighting adjustment target.

[0105] The beneficial effect of the above technical solution is: by adjusting the first lighting adjustment target in combination with the characteristics of the lighting area, precise lighting adjustment of the lighting system of the organic electroluminescent material is performed based on the adjusted first optimization target, which can make the lighting of the target area more accurate and effective.

[0106] Embodiment 4:

[0107] Based on Example 3, the adaptation optimization unit includes:

[0108] An adaptation determination subunit: configured to determine a regional adaptation degree T between the first lighting adjustment target and the target lighting area based on the first area parameter;

[0109] ; Where T is the regional adaptation degree, The real-time integrated light intensity of the target lighting area. is the expected light intensity, is the light intensity conversion coefficient, For real-time color temperature, is the desired color temperature, is the upper limit of color temperature of the target lighting system, is the lower limit of color temperature of the target lighting system, is the color temperature conversion coefficient, is the illumination intensity of the i-th illumination detection point in the target illumination area, is the uniformity adjustment index, n is the number of lighting detection points in the target lighting area, is the first influence weight of light intensity on regional adaptation degree, is the second influence weight of color temperature on regional adaptation, is the third impact weight of uniformity on the degree of regional adaptation;

[0110] Adaptation adjustment subunit: used to compare the regional adaptation degree with the preset minimum regional adaptation degree, so as to determine whether the regional adaptation degree of the target lighting area is higher than the preset minimum regional adaptation degree;

[0111] If the regional adaptation degree of the target lighting area is higher than the preset minimum regional adaptation degree, there is no need to optimize the first lighting adjustment target;

[0112] If the regional adaptation degree of the target lighting area is not higher than the preset minimum regional adaptation degree, the regional adaptation degree of the target lighting area is used as the initial regional adaptation degree;

[0113] Acquire a conventional regional function of the target lighting area, thereby determining a lighting preference corresponding to the conventional regional function, and perform adaptation optimization on the initial regional adaptation degree based on the lighting preference, thereby obtaining a first regional adaptation degree of the target lighting area;

[0114] An adjustment difference subunit: used for taking the corresponding difference between the first lighting adjustment target of the target lighting area corresponding to the first area adaptation degree and the first area parameter as the first adjustment difference;

[0115] An instruction difference subunit: configured to extract a difference adjustment instruction corresponding to the first adjustment difference from a difference adjustment database based on the first adjustment difference;

[0116] The adjustment subunit is used to make a first adjustment to the first lighting adjustment target of the target lighting area based on the difference adjustment instruction to obtain a first adjustment adjustment target;

[0117] A virtual verification subunit: used for inputting the first adjustment target and the real-time lighting parameters of the target lighting system into a preset lighting virtual machine, thereby obtaining a virtual lighting result;

[0118] A virtual adjustment subunit: used for judging whether the first adjustment target can be adjusted in combination with the target lighting system based on the virtual lighting result;

[0119] If the adjustment can be performed in combination with the target lighting system, the first adjustment target is used as the first optimization target of the target lighting system.

[0120] In this embodiment, the first regional adaptation degree refers to when the regional adaptation degree of the target lighting area is not higher than the preset minimum regional adaptation degree, the regional adaptation degree of the target lighting area is used as the first regional adaptation degree.

[0121] In this embodiment, the first adjustment difference refers to the difference value or gap between the first lighting adjustment target of the target lighting area corresponding to the first area adaptation degree and the first area parameter.

[0122] In this embodiment, the difference adjustment database refers to a database storing different adjustment differences and corresponding adjustment instructions, and is a database for guiding how to perform specific adjustment operations according to the differences.

[0123] In this embodiment, the difference adjustment instruction is extracted from the difference adjustment database based on the first adjustment difference, and is used to instruct how to adjust the first lighting adjustment target of the target lighting area.

[0124] In this embodiment, the first adjustment target refers to a new target value obtained by adjusting the first lighting adjustment target according to the difference adjustment instruction.

[0125] In this embodiment, the preset lighting virtual machine refers to a virtual lighting software tool used to simulate the behavior of a real lighting system, and is used to predict and adjust the lighting effect without actually changing the physical system.

[0126] In this embodiment, the virtual lighting result refers to a virtual lighting result obtained by inputting the first adjustment target input and the lighting parameters of the target lighting system into a preset lighting virtual machine to perform lighting simulation.

[0127] In this embodiment, the first optimization target refers to an optimized lighting parameter or adjustment target, and the first optimization target is obtained based on a first area parameter of the target lighting area and an evaluation and optimization of the first lighting adjustment target.

[0128] The beneficial effect of the above technical solution is: by judging the degree of regional adaptation between the adjustment target and the target lighting area, the lighting target of the target lighting system is adjusted to obtain the first optimization target, thereby accurately adjusting the lighting of the lighting system based on organic electroluminescent materials, which can make the lighting of the target area more accurate and effective.

[0129] Embodiment 5:

[0130] Based on Example 3, the state adjustment module includes:

[0131] The first monitoring unit is used to monitor the real-time ambient light intensity and real-time user activity of the target lighting area based on a preset sensor;

[0132] Solution judgment unit: used to judge the real-time lighting solution based on the monitored real-time ambient light intensity and real-time user activity;

[0133] Comparison optimization unit: used for comparing the real-time lighting scheme with the first optimization target, so as to determine whether the first optimization target can meet the lighting requirements of the real-time lighting scheme;

[0134] If it is satisfied, it is determined whether the first optimization goal enables the target lighting system to perform a stable adjustment of the lighting state, thereby adjusting the lighting state of the target lighting system in real time based on the first optimization goal capable of performing a stable adjustment of the lighting state of the target lighting system.

[0135] In this embodiment, the preset sensor refers to a sensor or detector preset in the lighting system, which is used to monitor the ambient light and user activities in real time.

[0136] In this embodiment, the real-time ambient light intensity includes the light intensity of natural light and the light intensity of unnatural light.

[0137] In this embodiment, the user activity refers to the activity status of the target user in the target lighting area, such as still, walking, working, resting, etc. These activity conditions will affect the demand for lighting, and therefore need to be considered when adjusting the lighting.

[0138] In this embodiment, the real-time lighting plan refers to a lighting adjustment plan or instruction generated by the plan judgment unit based on real-time monitoring data. For example, the real-time lighting plan may include set values ​​of parameters such as brightness, color temperature, color saturation, as well as the on / off status and adjustment method of the lighting system.

[0139] In this embodiment, the first optimization target refers to the optimized or adjusted lighting parameter or adjustment target.

[0140] In this embodiment, the lighting state refers to the current operating state of the lighting system, including parameters such as brightness, color temperature, and color.

[0141] The beneficial effect of the above technical solution is: by combining the monitoring results of the sensor to judge the real-time lighting solution, and adjusting the target lighting system based on the real-time lighting solution, the lighting of the target area is made more accurate and effective.

[0142] Embodiment 6:

[0143] Based on Example 5, the optimization unit comprises:

[0144] A first judgment subunit is used to obtain real-time lighting parameters of the target lighting system, and compare the real-time lighting parameters with the first optimization target, so as to determine a parameter adjustment index of each lighting sub-parameter in the real-time lighting parameters;

[0145] A second judgment subunit is used to judge, based on the parameter adjustment index, whether the corresponding lighting sub-parameter in the first optimization objective can enable the target lighting system to adjust the lighting state stably;

[0146] If the lighting state can be stably adjusted, the lighting state of the target lighting system is adjusted in real time based on the first optimization goal.

[0147] In this embodiment, the real-time lighting parameters include luminous brightness, luminous efficiency, emission spectrum, current density, start-up voltage, etc.

[0148] In this embodiment, the parameter adjustment index refers to a parameter adjustment value for adjusting each lighting sub-parameter in the real-time lighting parameter determined based on a difference between the real-time lighting parameter and the corresponding first optimization target.

[0149] The beneficial effect of the above technical solution is: by comparing the lighting parameters of the target lighting system with the first optimization target, the target lighting system is adjusted so that the lighting of the target area is more accurate and effective.

[0150] Embodiment 7:

[0151] Based on Example 6, the strategy optimization module includes:

[0152] A first feedback unit is used to determine the lighting control of the target lighting system based on the first optimization target, so as to obtain the brightness adjustment status of the target terminal user in the target lighting area after the lighting control is performed in the target lighting area, and obtain the first reference feedback;

[0153] The second feedback unit is used to obtain lighting feedback from the target terminal users in the target lighting area to obtain the second reference feedback:

[0154] Comprehensive feedback unit: used for combining the first reference feedback and the second reference feedback to obtain a first comprehensive feedback;

[0155] Feedback defect unit: used to sort and classify the comprehensive feedback results, so as to conduct classification analysis and determine the lighting defects of the target lighting system;

[0156] Defect optimization unit: used for comparing the lighting defect of the target lighting system with the lighting defect of the preset defect-strategy database, so as to determine the defect optimization strategy corresponding to the lighting defect of the target lighting system;

[0157] Optimization control unit: used to control and optimize the target lighting system based on the defect optimization strategy, so as to obtain the best lighting solution for the target lighting area.

[0158] In this embodiment, the first reference feedback is user feedback determined based on whether the target user further adjusts the lighting after the lighting adjustment is performed.

[0159] In this embodiment, the second reference feedback is user feedback determined based on whether the target user is satisfied with the lighting adjustment result after the lighting adjustment and the degree of satisfaction.

[0160] In this embodiment, the first comprehensive feedback is a comprehensive lighting feedback determined based on a combination of the first reference feedback and the second reference feedback.

[0161] In this embodiment, the lighting defect is classified and analyzed based on the first comprehensive feedback to determine the lighting defect corresponding to the first comprehensive feedback. For example, if the target user is not satisfied with the lighting brightness in the first comprehensive feedback, the lighting defect is determined to be too high brightness or too low brightness.

[0162] In this embodiment, the lighting defect optimization strategy refers to comparing the lighting defect with the lighting defect in a preset defect-strategy database, and adjusting the lighting defect based on the comparison result. For example, if the lighting defect is too high brightness, the lighting defect optimization strategy is to reduce the lighting brightness. The specific amount of lighting brightness reduction is also related to factors such as the real-time ambient light intensity.

[0163] In this embodiment, the best lighting solution is the best lighting solution obtained after optimization and adjustment based on the lighting needs of the target users, the regional characteristics of the target lighting area, the real-time monitoring data of the preset sensors and the user feedback.

[0164] The beneficial effect of the above technical solution is that by analyzing user feedback of the target lighting system and adjusting the lighting solution, lighting adjustments can be made in a timely and accurate manner, thereby improving lighting efficiency and making the lighting of the target area more accurate and effective.

[0165] Embodiment 8:

[0166] Based on Example 7, the strategy optimization module further includes:

[0167] Lighting inspection unit: used to obtain lighting feedback from end users in the target lighting area in real time when lighting control is performed on the target lighting area based on the optimal lighting solution;

[0168] If, during lighting control, the number of lighting adjustments made by the regional end users in the target lighting area is less than the preset number of adjustments, it is determined that the optimal lighting solution can meet the lighting needs of the target lighting area;

[0169] If, during lighting control, the number of lighting adjustments made by regional end users in the target lighting area is not less than a preset number of adjustments, it is necessary to optimize the lighting solution based on the real-time lighting feedback from regional end users.

[0170] In this embodiment, lighting feedback refers to lighting feedback from a target user during lighting control in a target lighting area. For example, if brightness adjustment is unstable and there is a short-term sudden brightness increase, lighting adjustment needs to be performed based on actual lighting feedback.

[0171] In this embodiment, the number of adjustments refers to the number of times the target user needs to adjust the lighting by himself in addition to the lighting control. The preset number of lighting adjustments is predetermined based on the stability of the lighting system of the organic electroluminescent material.

[0172] In this embodiment, the best lighting solution is the best lighting solution obtained after optimization and adjustment based on the lighting needs of the target users, the regional characteristics of the target lighting area, the real-time monitoring data of the preset sensors and the user feedback.

[0173] The beneficial effect of the above technical solution is: by analyzing user feedback from the target lighting system, the lighting solution is adjusted, and timely lighting optimization is performed, so that lighting adjustments can be made in a timely and accurate manner, thereby improving lighting efficiency and making the lighting of the target area more accurate and effective.

[0174] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A lighting system based on organic electroluminescent materials, characterized in that: include: A target determination module is used to obtain the lighting requirements of the target users of the lighting system and determine the first lighting adjustment target based on the lighting requirements; Target optimization module: used to obtain the regional characteristics of the target lighting area so as to optimize the first lighting adjustment target based on the lighting area to obtain the first optimization target; State adjustment module: used for real-time monitoring of ambient light and user activities of target users based on preset sensors, so as to adjust the lighting state in real time in combination with the first optimization goal; Strategy optimization module: used to optimize and adjust the lighting system and control strategy based on user feedback from target users to obtain the best lighting solution; Among them, the target optimization module includes: Parameter determination unit: used to obtain the regional characteristics of the target lighting area and obtain the first regional parameter; Adaptation optimization unit: used for determining the regional adaptation degree between the first lighting adjustment target and the target lighting area based on the first area parameter; If the regional adaptation degree between the first lighting adjustment target and the target lighting area is higher than the preset minimum regional adaptation degree, it is not necessary to optimize the first lighting adjustment target; Otherwise, it is necessary to adjust and optimize the first lighting adjustment target based on the first area parameter of the target lighting area to obtain the first optimization target; Among them, the strategy optimization module includes: A first feedback unit is used to determine the lighting control of the target lighting system based on the first optimization target, so as to obtain the brightness adjustment status of the target terminal user in the target lighting area after the lighting control is performed in the target lighting area, and obtain the first reference feedback; The second feedback unit is used to obtain lighting feedback from the target terminal users in the target lighting area to obtain the second reference feedback: Comprehensive feedback unit: used for combining the first reference feedback and the second reference feedback to obtain a first comprehensive feedback; Feedback defect unit: used to sort and classify the comprehensive feedback results, so as to conduct classification analysis and determine the lighting defects of the target lighting system; Defect optimization unit: used for comparing the lighting defect of the target lighting system with the lighting defect of the preset defect-strategy database, so as to determine the defect optimization strategy corresponding to the lighting defect of the target lighting system; Optimization control unit: used to control and optimize the target lighting system based on the defect optimization strategy, so as to obtain the best lighting solution for the target lighting area.

2. The lighting system based on organic electroluminescent material according to claim 1, characterized in that: Targeting module, including: An initial lighting unit: used to obtain user requirements of target users of the lighting system based on organic electroluminescent materials, and determine an initial lighting adjustment target of the lighting system based on the user requirements of the target users; Error adjustment unit: used to obtain the historical lighting requirements of the target user and the corresponding historical lighting results, and determine the lighting difference of each historical lighting requirement and historical lighting result, and extract the historical lighting requirements and corresponding historical lighting results whose lighting difference is less than the preset difference as the error adjustment set; The first lighting unit is configured to adjust the initial lighting adjustment target based on the error adjustment set to obtain a first lighting adjustment target.

3. The lighting system based on organic electroluminescent material according to claim 1, characterized in that: Adaptation optimization unit, including: An adaptation determination subunit: configured to determine a regional adaptation degree T between the first lighting adjustment target and the target lighting area based on the first area parameter; ; Where T is the regional adaptation degree, The real-time integrated light intensity of the target lighting area. is the expected light intensity, is the light intensity conversion coefficient, For real-time color temperature, is the desired color temperature, is the upper limit of color temperature of the target lighting system, is the lower limit of color temperature of the target lighting system, is the color temperature conversion coefficient, is the illumination intensity of the i-th illumination detection point in the target illumination area, is the uniformity adjustment index, n is the number of lighting detection points in the target lighting area, is the first influence weight of light intensity on regional adaptation degree, is the second influence weight of color temperature on regional adaptation, is the third impact weight of uniformity on the degree of regional adaptation; Adaptation adjustment subunit: used to compare the regional adaptation degree with the preset minimum regional adaptation degree, so as to determine whether the regional adaptation degree of the target lighting area is higher than the preset minimum regional adaptation degree; If the regional adaptation degree of the target lighting area is higher than the preset minimum regional adaptation degree, there is no need to optimize the first lighting adjustment target; If the regional adaptation degree of the target lighting area is not higher than the preset minimum regional adaptation degree, the regional adaptation degree of the target lighting area is used as the initial regional adaptation degree; Acquire a conventional regional function of the target lighting area, thereby determining a lighting preference corresponding to the conventional regional function, and perform adaptation optimization on the initial regional adaptation degree based on the lighting preference, thereby obtaining a first regional adaptation degree of the target lighting area; An adjustment difference subunit: used for taking the corresponding difference between the first lighting adjustment target of the target lighting area corresponding to the first area adaptation degree and the first area parameter as the first adjustment difference; An instruction difference subunit: configured to extract a difference adjustment instruction corresponding to the first adjustment difference from a difference adjustment database based on the first adjustment difference; The adjustment subunit is used to make a first adjustment to the first lighting adjustment target of the target lighting area based on the difference adjustment instruction to obtain a first adjustment adjustment target; A virtual verification subunit: used for inputting the first adjustment target and the real-time lighting parameters of the target lighting system into a preset lighting virtual machine, thereby obtaining a virtual lighting result; A virtual adjustment subunit: used for judging whether the first adjustment target can be adjusted in combination with the target lighting system based on the virtual lighting result; If the adjustment can be performed in combination with the target lighting system, the first adjustment target is used as the first optimization target of the target lighting system.

4. The lighting system based on organic electroluminescent material according to claim 1, characterized in that: State adjustment module, including: The first monitoring unit is used to monitor the real-time ambient light intensity and real-time user activity of the target lighting area based on a preset sensor; Solution judgment unit: used to judge the real-time lighting solution based on the monitored real-time ambient light intensity and real-time user activity; Comparison optimization unit: used for comparing the real-time lighting scheme with the first optimization target, so as to determine whether the first optimization target can meet the lighting requirements of the real-time lighting scheme; If it is satisfied, it is determined whether the first optimization goal enables the target lighting system to perform stable adjustment of the lighting state, so as to adjust the lighting state of the target lighting system in real time based on the first optimization goal capable of performing stable adjustment of the lighting state of the target lighting system.

5. The lighting system based on organic electroluminescent material according to claim 4, characterized in that: Comparison optimization unit, including: A first judgment subunit is used to obtain real-time lighting parameters of the target lighting system, and compare the real-time lighting parameters with the first optimization target, so as to determine the parameter adjustment index of each lighting sub-parameter in the real-time lighting parameters; A second judgment subunit is used to judge, based on the parameter adjustment index, whether the corresponding lighting sub-parameter in the first optimization objective can enable the target lighting system to adjust the lighting state stably; If the lighting state can be stably adjusted, the lighting state of the target lighting system is adjusted in real time based on the first optimization goal.

6. The lighting system based on organic electroluminescent material according to claim 1, characterized in that: The strategy optimization module also includes: Lighting inspection unit: used to obtain lighting feedback from end users in the target lighting area in real time when lighting control is performed on the target lighting area based on the optimal lighting solution; If, during lighting control, the number of lighting adjustments made by the regional end users in the target lighting area is less than the preset number of adjustments, it is determined that the optimal lighting solution can meet the lighting needs of the target lighting area; If, during lighting control, the number of lighting adjustments made by regional end users in the target lighting area is not less than a preset number of adjustments, it is necessary to optimize the lighting solution based on the real-time lighting feedback from regional end users.

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