Intelligent control system for partitioned illumination of showcase

Abstract

The invention relates to the technical field of showcase lighting, in particular to a showcase partition lighting intelligent control system which is provided with at least one showcase and comprises an energy management system, a pedestrian volume prediction module, an environment sensor, an intelligent control unit, a heat dissipation management module and a lighting lamp. The energy management system is used for monitoring current, voltage and temperature of each showcase; the environment sensor is used for monitoring parameters such as environment illumination, temperature and humidity in real time; the intelligent control unit is used for adjusting the illumination brightness of each showcase area according to the predicted human traffic and environmental data; according to the intelligent display cabinet, intelligent adjustment of the illumination brightness of the display cabinet is achieved by combining people flow prediction and environment sensor data, meanwhile, the system can flexibly adjust the illumination brightness through real-time monitoring of environment data such as illumination intensity and temperature and humidity, unnecessary energy waste caused by environment changes is avoided, and the intelligent display cabinet is convenient to use. And by accurately adjusting the illumination brightness, the optimal display effect of the exhibit is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of display cabinet lighting, and in particular to an intelligent control system for display cabinet partition lighting. Background Art

[0002] With the development of the modern exhibition industry, exhibition display methods and technologies are constantly improving, especially in the intelligent control of showcase lighting. Traditional showcase lighting systems generally use lamps with fixed brightness, and the lighting effect cannot be automatically adjusted according to changes in the exhibition environment or flow of people;

[0003] The existing display cabinet lighting system often faces the following problems during use: on the one hand, with the changes in ambient light, temperature and humidity, the brightness of the lamps cannot be flexibly adjusted, resulting in poor display effects of exhibits and even energy waste; on the other hand, due to the lack of temperature control management, traditional lamps will generate too much heat when running for a long time, causing the temperature of the lamps to rise, thus affecting their service life and stability. In addition, the impact of changes in the environment in which the exhibits are located and the flow of people on lighting needs has not been fully considered. The intelligence level of display cabinet lighting is low and efficient dynamic adjustment cannot be achieved. Therefore, a display cabinet partition lighting intelligent control system is proposed to address the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a display cabinet partition lighting intelligent control system to solve the following problems often faced by existing display cabinet lighting systems during use: on the one hand, with the changes in ambient light and temperature and humidity, the brightness of the lamps cannot be flexibly adjusted, resulting in poor display effects of exhibits and even energy waste; on the other hand, due to the lack of temperature control management, traditional lamps will generate excessive heat during long-term operation, causing the temperature of the lamps to rise, thereby affecting their service life and stability. In addition, the impact of changes in the environment in which the exhibits are located and the flow of people on lighting needs has not been fully considered, and the degree of intelligence of the display cabinet lighting is low, and efficient dynamic adjustment cannot be achieved.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A display cabinet partition lighting intelligent control system has at least one display cabinet, the system includes an energy management system, a traffic flow prediction module, an environmental sensor, an intelligent control unit, a heat dissipation management module and lighting fixtures;

[0007] The energy management system is used to monitor the current, voltage and temperature of each display cabinet;

[0008] The environmental sensor is used to monitor the environmental light, temperature, humidity and other parameters in real time;

[0009] The intelligent control unit adjusts the lighting brightness of each display cabinet area according to the predicted traffic flow and environmental data;

[0010] The heat dissipation management module monitors the temperature of the lighting fixture in real time and adjusts the heat dissipation system to prevent the lighting fixture from overheating;

[0011] The lighting fixture adjusts the light intensity through an intelligent control unit;

[0012] The crowd flow prediction module obtains historical crowd flow data P t ,P t-1 ,...,P t-n And temperature, humidity, exhibition special event data t ,E t-1 ,...,E t-m Calculate the flow of people in the future time period t+k The crowd flow prediction module uses a weighted moving average method to calculate the historical crowd flow data P t ,P t-1 ,...,P t-n Weighted and combined with external temperature, humidity, exhibition special event data E t ,E t-1 ,...,E t-m The prediction results are corrected and the prediction formula is:

[0013]

[0014] Among them, θ is the optimized model parameter. The weight of the predicted value is adjusted in real time through the weighted moving average method and the external environment correction factor. The pedestrian flow prediction module dynamically adjusts the model parameter θ through the prediction error. t+1 , the prediction error dynamically adjusts the model parameter θ t+1 The calculation formula is:

[0015]

[0016] Among them, η is the learning rate, L is the loss function, Represents the partial derivative of the loss function with respect to the model parameters.

[0017] As a further optimized content of the present invention, the high threshold value set by the crowd flow prediction module is: P thresh , the low threshold value set by the crowd flow prediction module is: P lowthresh ;

[0018] when Exceeds the set high threshold P thresh , the system will automatically increase the light brightness;

[0019] when Below the set low threshold P lowthresh , the system will automatically reduce the light brightness.

[0020] As a further optimized content of the present invention, the intelligent control unit adjusts the lighting brightness of each display cabinet according to real-time environmental data through a fuzzy control algorithm.

[0021] As a further optimization of the present invention, the intelligent control unit adjusts the lighting brightness of each showcase according to real-time environmental data through a fuzzy control algorithm. The specific process is as follows:

[0022] Get the ambient light intensity I at the location of the showcase env , the temperature of the area where the display cabinet is located T env And the regional temperature H where the showcase is located env ;

[0023] According to the environmental data obtained env , T env and H env Formulate fuzzy control rules. The specific fuzzy control rules are as follows:

[0024] Rule 1: If the light intensity I env If the temperature is high and moderate, reduce the lighting brightness;

[0025] Rule 2: If the light intensity I env If the temperature is lower and the humidity is higher, increase the lighting brightness;

[0026] Rule 3: If the temperature is high and the humidity is low, reduce the lighting brightness;

[0027] According to fuzzy rules, fuzzy sets are used to infer the membership of environmental factors and obtain the lighting brightness adjustment value.

[0028] Lighting brightness L adjusted Adjust according to the fuzzy reasoning results and historical experience to optimize the display cabinet lighting effect. adjusted The algorithm formula is:

[0029] L adjusted =f(μI env ,μT env ,μH env )

[0030] In the formula, I env , T env and H env is the degree of membership of light, temperature and humidity.

[0031] As a further optimization of the present invention, the heat dissipation management module monitors the temperature of the lamp in real time and automatically starts a fan or other heat dissipation device according to the temperature data to ensure that the lamp operates within a safe temperature range.

[0032] As a further optimization of the present invention, the heat dissipation management module is combined with a lamp temperature control algorithm to dynamically adjust the lighting brightness when the lamp temperature approaches a critical value to avoid excessive temperature.

[0033] As a further optimization of the present invention, the system supports remote monitoring and adjustment through a mobile device through a remote control interface, including remote query of pedestrian flow data and lighting status.

[0034] As a further optimization of the present invention, the system can automatically adjust the color temperature and brightness of the lighting according to the type and content of the exhibition to adapt to different display requirements.

[0035] As a further optimized content of the present invention, the environmental sensor includes a light sensor, a temperature sensor, a humidity sensor and a people counting sensor.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. In the present invention, by combining the prediction of human flow and the data of environmental sensors, the intelligent adjustment of the display cabinet lighting brightness is realized. When the system predicts that the human flow will increase, the lighting brightness is automatically increased; when the human flow decreases, the brightness is reduced to ensure that a suitable lighting environment is provided for different numbers of visitors. At the same time, the system can flexibly adjust the lighting brightness through real-time monitoring of environmental data such as light intensity, temperature and humidity, avoiding unnecessary energy waste caused by environmental changes. By accurately adjusting the lighting brightness, the best display effect of the exhibits is guaranteed, thereby improving user experience and exhibition effect.

[0038] 2. In the present invention, the temperature of the lighting fixture is monitored in real time by integrating a heat dissipation management module, and the heat dissipation system and lighting brightness are adjusted to prevent the lighting fixture from overheating. When the temperature approaches the critical value, the system will automatically reduce the brightness or start cooling devices such as fans, effectively avoiding damage to the lighting fixture caused by overheating. Through this dynamic temperature control management, the service life of the lighting fixture is extended, the cost of maintenance and replacement is reduced, and the economic benefits of the system are greatly improved;

[0039] 3. In the present invention, by introducing a crowd flow prediction model based on the weighted moving average method and combining it with the correction of external environmental data, it is possible to accurately predict the crowd flow in the future and adjust the lighting brightness according to the prediction results. This data-driven intelligent adjustment method not only makes the lighting brightness more in line with actual needs, but also effectively avoids energy waste. The system can automatically adjust the color temperature and brightness of the lighting according to factors such as the type, content, and area of ​​the exhibition, further improving energy efficiency while reducing overall operating costs. This intelligent control system improves the flexibility and accuracy of showcase lighting management, making it more adaptable to different exhibition needs and scene changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 The system block diagram of a display cabinet partition lighting intelligent control system of the present invention. DETAILED DESCRIPTION

[0041] See also Figure 1 , the present invention provides a technical solution:

[0042] A display cabinet partition lighting intelligent control system has at least one display cabinet, and the system includes an energy management system, a traffic flow prediction module, an environmental sensor, an intelligent control unit, a heat dissipation management module and lighting fixtures;

[0043] Energy management system to monitor current, voltage and temperature of each showcase;

[0044] Environmental sensors are used to monitor ambient light, temperature, humidity and other parameters in real time;

[0045] Intelligent control unit that adjusts the lighting brightness of each display area based on predicted traffic and environmental data;

[0046] The heat management module monitors the temperature of lighting fixtures in real time and adjusts the heat dissipation system to prevent overheating of the fixtures;

[0047] Lighting fixtures, which adjust light intensity through intelligent control units;

[0048] The crowd flow prediction module obtains historical crowd flow data P t ,P t-1 ,...,P t-n And temperature, humidity, exhibition special event data t ,E t-1 ,...,E t-m Calculate the flow of people in the future time period t+k The crowd flow prediction module uses the weighted moving average method to calculate the historical crowd flow data P t ,P t-1 ,...,P t-nWeighted and combined with external temperature, humidity, exhibition special event data E t ,E t-1 ,...,E t-m The prediction results are corrected and the prediction formula is:

[0049]

[0050] Among them, θ is the optimized model parameter. The weight of the predicted value is adjusted in real time through the weighted moving average method and the external environment correction factor. The flow prediction module dynamically adjusts the model parameter θ through the prediction error. t+1 , the prediction error dynamically adjusts the model parameter θ t+1 The calculation formula is:

[0051]

[0052] Among them, η is the learning rate, L is the loss function, Represents the partial derivative of the loss function with respect to the model parameters. The system provides precise control for the showcase lighting system by real-time monitoring and dynamic prediction of human traffic and environmental data, optimizes the adjustment of lighting brightness, improves the exhibition display effect, and saves energy.

[0053] As a technical solution for further implementation of this solution, the high threshold value set by the crowd flow prediction module is: P thresh , the low threshold set by the crowd flow prediction module is: P lowthresh ;

[0054] when Exceeds the set high threshold P thresh , the system will automatically increase the light brightness;

[0055] when Below the set low threshold P lowthresh , the system will automatically reduce the light brightness, set a reasonable threshold of human flow, and intelligently adjust the lighting brightness to avoid excessive or insufficient brightness affecting the exhibition effect, while saving energy and improving the intelligence and adaptability of lighting management;

[0056] As a technical solution for further implementation of this solution, the intelligent control unit adjusts the lighting brightness of each showcase according to real-time environmental data through a fuzzy control algorithm. The fuzzy control algorithm can flexibly adjust the lighting brightness according to environmental data (such as light, temperature and humidity), thereby improving the adaptability and intelligence level of the system and ensuring that the showcase lighting meets actual needs and display effects;

[0057] As a technical solution for further implementation of this plan, the intelligent control unit adjusts the lighting brightness of each showcase according to real-time environmental data through a fuzzy control algorithm. The specific process is as follows:

[0058] Get the ambient light intensity I at the location of the showcase env , the temperature of the area where the display cabinet is located T env And the regional temperature H where the showcase is located env ;

[0059] According to the environmental data obtained env , T env and H env Formulate fuzzy control rules. The specific fuzzy control rules are as follows:

[0060] Rule 1: If the light intensity I env If the temperature is high and moderate, reduce the lighting brightness;

[0061] Rule 2: If the light intensity I env If the temperature is lower and the humidity is higher, increase the lighting brightness;

[0062] Rule 3: If the temperature is high and the humidity is low, reduce the lighting brightness;

[0063] According to fuzzy rules, fuzzy sets are used to infer the membership of environmental factors and obtain the lighting brightness adjustment value.

[0064] Lighting brightness L adjusted Adjust according to the fuzzy reasoning results and historical experience to optimize the display cabinet lighting effect. adjusted The algorithm formula is:

[0065] L adjusted =f(μI env ,μT env ,μH env )

[0066] In the formula, I env , T env and H env The fuzzy control algorithm can flexibly respond to environmental changes and provide refined lighting control based on the degree of light, temperature and humidity, thereby optimizing the display effect of the showcase and improving the user experience.

[0067] As a technical solution for further implementation of this solution, the heat dissipation management module monitors the temperature of the lamp in real time and automatically starts the fan or other heat dissipation equipment according to the temperature data to ensure that the lamp works within a safe temperature range. The heat dissipation management module effectively avoids the performance degradation or damage of the lamp due to excessive temperature, thereby extending the service life of the lamp and reducing maintenance costs;

[0068] As a technical solution for further implementation of this scheme, the heat dissipation management module is combined with the lamp temperature control algorithm to dynamically adjust the lighting brightness when the lamp temperature approaches the critical value to avoid excessive temperature. By dynamically adjusting the lighting brightness to control the lamp temperature, the adverse effects caused by excessive temperature are reduced, ensuring the long-term stable operation of the lamp, and optimizing energy utilization and system stability.

[0069] As a technical solution for further implementation of this plan, the system supports remote monitoring and adjustment through mobile devices through a remote control interface, including remote query of traffic data and lighting status. The remote control interface allows users to monitor and manage the system anytime and anywhere, increasing the flexibility and convenience of the system, and improving the convenience of operation and the efficiency of exhibition management;

[0070] As a technical solution for further implementation of this plan, the system can automatically adjust the color temperature and brightness of the lighting according to the type and content of the exhibition to meet different display requirements. Automatically adjusting the color temperature and brightness of the lighting can optimize the lighting effect according to the display requirements of different exhibits, enhance the audience's viewing experience, adapt to various display environments, and provide personalized services;

[0071] As a technical solution for further implementation of this plan, environmental sensors include light sensors, temperature sensors, humidity sensors and people counting sensors. The comprehensive use of multiple sensors can comprehensively obtain environmental data, thereby realizing precise lighting control, improving the intelligence level and environmental adaptability of the system, and enhancing the display effect and comfort of the showcase.

[0072] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. The above is only a preferred implementation of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. An intelligent control system for display cabinet partition lighting, characterized in that: There is at least one display cabinet, and the system includes an energy management system, a traffic flow prediction module, an environmental sensor, an intelligent control unit, a heat dissipation management module and a lighting fixture; The energy management system is used to monitor the current, voltage and temperature of each display cabinet; The environmental sensor is used to monitor the environmental light, temperature, humidity and other parameters in real time; The intelligent control unit adjusts the lighting brightness of each display cabinet area according to the predicted traffic flow and environmental data; The heat dissipation management module monitors the temperature of the lighting fixture in real time and adjusts the heat dissipation system to prevent the lighting fixture from overheating; The lighting fixture adjusts the light intensity through an intelligent control unit; The crowd flow prediction module obtains historical crowd flow data P t ,P t-1 ,...,P t-n And temperature, humidity, exhibition special event data t ,E t-1 ,...,E t-m Calculate the flow of people in the future time period t+k The crowd flow prediction module uses a weighted moving average method to calculate the historical crowd flow data P t ,P t-1 ,...,P t-n Weighted and combined with external temperature, humidity, exhibition special event data E t ,E t-1 ,...,E t-m The prediction results are corrected and the prediction formula is: Among them, θ is the optimized model parameter. The weight of the predicted value is adjusted in real time through the weighted moving average method and the external environment correction factor. The passenger flow prediction module dynamically adjusts the model parameter θ through the prediction error. t+1 , the prediction error dynamically adjusts the model parameter θ t+1 The calculation formula is: Among them, η is the learning rate, L is the loss function, Represents the partial derivative of the loss function with respect to the model parameters.

2. The intelligent control system for display cabinet partition lighting according to claim 1, characterized in that: The high threshold value set by the crowd flow prediction module is: thresh , the low threshold value set by the crowd flow prediction module is: P lowthresh ; when Exceeds the set high threshold P thresh , the system will automatically increase the light brightness; when Below the set low threshold P lowthresh , the system will automatically reduce the light brightness.

3. The intelligent control system for display cabinet partition lighting according to claim 1, characterized in that: The intelligent control unit adjusts the lighting brightness of each display cabinet according to real-time environmental data through a fuzzy control algorithm.

4. The intelligent control system for display cabinet partition lighting according to claim 3, characterized in that: The intelligent control unit adjusts the lighting brightness of each showcase according to real-time environmental data through a fuzzy control algorithm. The specific process is as follows: Get the ambient light intensity I at the location of the showcase env , the temperature of the area where the display cabinet is located T env And the regional temperature H where the showcase is located env ; According to the environmental data obtained env , T env and H env Formulate fuzzy control rules. The specific fuzzy control rules are as follows: Rule 1: If the light intensity I env If it is high and the temperature is moderate, reduce the lighting brightness; Rule 2: If the light intensity I env If the temperature is lower and the humidity is higher, increase the lighting brightness; Rule 3: If the temperature is high and the humidity is low, reduce the lighting brightness; According to fuzzy rules, fuzzy sets are used to infer the membership of environmental factors and obtain the lighting brightness adjustment value. Lighting brightness L adjusted Adjust according to the fuzzy reasoning results and historical experience to optimize the display cabinet lighting effect. adjusted The algorithm formula is: L adjusted =f(μI env ,μT env ,μH env ) In the formula, I env , T env and H env is the degree of membership of light, temperature and humidity.

5. The intelligent control system for display cabinet partition lighting according to claim 1, characterized in that: The heat dissipation management module monitors the temperature of the lamp in real time and automatically starts a fan or other heat dissipation device according to the temperature data to ensure that the lamp operates within a safe temperature range.

6. The intelligent control system for display cabinet partition lighting according to claim 1, characterized in that: The heat dissipation management module is combined with the lamp temperature control algorithm to dynamically adjust the lighting brightness when the lamp temperature approaches a critical value to avoid excessive temperature.

7. The intelligent control system for display cabinet partition lighting according to claim 1, characterized in that: The system supports remote monitoring and adjustment via a mobile device through a remote control interface, including remote query of pedestrian flow data and lighting status.

8. The intelligent control system for display cabinet partition lighting according to claim 1, characterized in that: The system can automatically adjust the color temperature and brightness of the lighting according to the type and content of the exhibition to meet different display requirements.

9. The intelligent control system for display cabinet partition lighting according to claim 1, characterized in that: The environmental sensors include a light sensor, a temperature sensor, a humidity sensor and a people counting sensor.

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