Intelligent energy-saving light fuzzy control method and system in passenger car compartment

Abstract

The invention provides an intelligent energy-saving light fuzzy control method and system in a passenger car compartment. The method comprises the steps that real-time data of external light intensity and the number of passengers in the compartment are collected; carrying out fuzzification processing on the collected data, outputting a fuzzy set, and converting the fuzzy set into an output signal of a compartment light brightness value; and executing the output signal instruction to adjust the light brightness value. According to the invention, the fuzzy method library is utilized to control the adjustment strategy of the compartment light brightness, accurate control of the light in the compartment is realized, the comfort level of passengers is satisfied, the energy consumption is effectively reduced, the intelligent level of the passenger car is improved, and more convenient, comfortable and environment-friendly travel experience is provided for the passengers.

Description

Technical Field

[0001] The invention relates to the technical field of bus lighting, and in particular to an intelligent energy-saving lighting fuzzy control method and system in a bus compartment. Background Art

[0002] With the rapid development of public transportation, buses, as an important means of transportation, are increasingly concerned about the comfort and energy efficiency of their interior environment. Traditional bus cabin lighting control mostly adopts a fixed mode, which cannot be flexibly adjusted according to the interior and exterior environment of the cabin and the needs of passengers, resulting in energy waste and poor passenger experience. Summary of the invention

[0003] The present invention provides an intelligent energy-saving lighting control method and system in a passenger car compartment to solve the above-mentioned problem.

[0004] The technical solution of the present invention is: a method for intelligent energy-saving lighting fuzzy control in a passenger car, comprising the following steps: S1. Collect real-time data on external light intensity and the number of passengers in the car; S2. Fuzzify the collected data, output the fuzzy set, and convert the fuzzy set into an output signal of the cabin light brightness value; S3. Execute the output signal instruction to adjust the light brightness value.

[0005] Furthermore, the fuzzification processing step in S2 includes: S01. Define input and output variables and their corresponding fuzzy sets, and map the actual input values ​​to their corresponding fuzzy sets; S02, define a membership function for each fuzzy set and calculate its membership; S03. Design fuzzy method library; S04, traverse the fuzzy method library, find all methods that match the current input value, calculate the activation strength of each matching method, aggregate the output parts of all activated methods, and output the fuzzy set; S05. Calculate the centroid of the output fuzzy set using the centroid method and convert the value into a specific numerical value.

[0006] Furthermore, the input variables include the intensity of external light and the number of passengers in the car. The fuzzy set corresponding to the intensity of external light (Intensity_Outdoor) is {dark (D), medium (M), bright (B)}; the fuzzy set corresponding to the number of passengers in the car (Passenger_Count) is {few (F), medium (M), many (L)}; the fuzzy set corresponding to the output variable, the brightness of the light in the car (Brightness), is {low (Low), medium (Medium), high (High)}.

[0007] Furthermore, the fuzzy method library is as follows: Method 1: If the outdoor light intensity (Intensity_Outdoor) is "dark" (D) and the number of passengers in the car (Passenger_Count) is "many" (L), the brightness of the light in the car (Brightness) should be "high" (High); Method 2: If the outdoor light intensity (Intensity_Outdoor) is "Medium" (M) and the number of passengers in the car (Passenger_Count) is "Medium" (M) or "Many" (L), the light brightness in the car (Brightness) should be "Medium" (Medium) or "High" (High); Method 3: If the outdoor light intensity (Intensity_Outdoor) is "Bright" (B) and the number of passengers in the car (Passenger_Count) is "Few" (F) or "Medium" (M), then the light brightness in the car (Brightness) is "Low" (Low) or "Medium" (Medium); Method 4: If the outdoor light intensity (Intensity_Outdoor) changes from "Dark" (D) to "Medium" (M) and the number of passengers in the car (Passenger_Count) remains unchanged, the brightness of the light in the car (Brightness) decreases from "High" (High) to "Medium" (Medium).

[0008] Furthermore, the methods in the fuzzy method library can be dynamically adjusted and optimized based on machine learning. An intelligent energy-saving lighting fuzzy control system in a passenger car, comprising: A data acquisition module is used to collect real-time data on the external light intensity and the number of passengers in the carriage; The fuzzy control module is used to perform fuzzy processing on the collected data, output a fuzzy set according to a preset fuzzy method library, and convert the fuzzy set into an output signal of the cabin light brightness value; The execution module is used to receive the output signal to execute the adjustment of the light brightness.

[0009] Furthermore, the system also includes a user interaction interface for displaying the current cabin light brightness status and providing the user with the function of customizing settings or manually adjusting the light brightness.

[0010] Furthermore, the system also includes an energy management module for monitoring the energy consumption of the lighting system.

[0011] Beneficial effects of the present invention: The present invention collects real-time data on the intensity of external light and the number of passengers in the car, and uses a fuzzy method library to control the adjustment strategy of the car light brightness, thereby achieving precise control of the car light, so as to effectively reduce energy consumption while meeting the comfort of passengers.

[0012] 1. Improve passenger comfort: Through intelligent perception and dynamic adjustment, ensure that the car always maintains a suitable lighting environment to enhance the passenger experience.

[0013] 2. Energy saving and emission reduction: Achieve precise control of lighting, avoid ineffective lighting, significantly reduce energy consumption, and comply with the concept of green transportation development.

[0014] 3. Enhance the intelligence level of vehicles: Improve the intelligence level of buses to provide passengers with a more convenient, comfortable and environmentally friendly travel experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0016] An intelligent energy-saving lighting fuzzy control method in a passenger car compartment comprises the following steps: S1. Collect real-time data on external light intensity and the number of passengers in the car; S2. Fuzzify the collected data, output the fuzzy set, and convert the fuzzy set into an output signal of the cabin light brightness value; S3. Execute the output signal instruction to adjust the light brightness value.

[0017] Furthermore, the fuzzification processing step in S2 includes: S01. Define input and output variables and their corresponding fuzzy sets, and map the actual input values ​​to their corresponding fuzzy sets; S02, define a membership function for each fuzzy set and calculate its membership; S03. Design fuzzy method library; S04, traverse the fuzzy method library, find all methods that match the current input value, calculate the activation strength of each matching method, aggregate the output parts of all activated methods, and output the fuzzy set; S05. Calculate the centroid of the output fuzzy set using the centroid method and convert the value into a specific numerical value.

[0018] Furthermore, the input variables include the intensity of external light and the number of passengers in the car. The fuzzy set corresponding to the intensity of external light (Intensity_Outdoor) is {dark (D), medium (M), bright (B)}; the fuzzy set corresponding to the number of passengers in the car (Passenger_Count) is {few (F), medium (M), many (L)}; the fuzzy set corresponding to the output variable, the brightness of the light in the car (Brightness), is {low (Low), medium (Medium), high (High)}.

[0019] Furthermore, the fuzzy method library is as follows: Method 1: If the outdoor light intensity (Intensity_Outdoor) is "dark" (D) and the number of passengers in the car (Passenger_Count) is "many" (L), the brightness of the light in the car (Brightness) should be "high" (High); Method 2: If the outdoor light intensity (Intensity_Outdoor) is "Medium" (M) and the number of passengers in the car (Passenger_Count) is "Medium" (M) or "Many" (L), the light brightness in the car (Brightness) should be "Medium" (Medium) or "High" (High); Method 3: If the outdoor light intensity (Intensity_Outdoor) is "Bright" (B) and the number of passengers in the car (Passenger_Count) is "Few" (F) or "Medium" (M), then the light brightness in the car (Brightness) is "Low" (Low) or "Medium" (Medium); Method 4: If the outdoor light intensity (Intensity_Outdoor) changes from "Dark" (D) to "Medium" (M) and the number of passengers in the car (Passenger_Count) remains unchanged, the brightness of the light in the car (Brightness) decreases from "High" (High) to "Medium" (Medium).

[0020] Furthermore, the methods in the fuzzy method library can be dynamically adjusted and optimized.

[0021] The steps to collect real-time data on the external light intensity and the number of passengers in the car are as follows: Light sensors: deployed at key locations inside and outside the vehicle to monitor the light intensity inside and outside the vehicle in real time. Light sensors can accurately sense changes in ambient light and convert light intensity data into electrical signals.

[0022] Inside the car: Installed in the center of the roof or near the windows on both sides of the car to sense the light conditions in different areas of the car.

[0023] Carriage exterior: Installed on the front or rear of the roof to avoid being blocked by the roof structure, so as to accurately capture the changes in natural light from the outside.

[0024] Infrared sensors and cameras: installed on the top of the front door and middle door of the carriage, used to identify the number and location of passengers. The infrared sensor determines the presence of passengers by detecting the infrared radiation emitted by the human body, while the camera can achieve more accurate passenger identification and positioning through image analysis technology.

[0025] Vehicle status sensors: such as speed sensors, GPS receivers, ADAS cameras, etc., are used to obtain vehicle driving status information, including speed, driving route and road conditions.

[0026] Furthermore, the preset fuzzy method library includes a plurality of fuzzy methods, each of which defines a strategy for adjusting the brightness of the car lights under different combinations of external light intensities and the number of passengers in the car.

[0027] The specific steps of fuzzy processing are as follows: (1) Define input and output variables and their fuzzy sets Input variables: Intensity of outdoor light (Intensity_Outdoor), fuzzy set is {dark (D), medium (M), bright (B)} The number of passengers in the carriage (Passenger_Count), the fuzzy set is {few (F), medium (M), many (L)} Output variables: Brightness of the lights in the car, the fuzzy set is {Low, Medium, High} (2) Definition of membership function Define a membership function for each fuzzy set. You can use triangular, trapezoidal, or Gaussian functions as membership functions.

[0028] (3) Design of fuzzy method library Based on experience and expert knowledge, a series of fuzzy methods are designed to define how the output should change under different input conditions.

[0029] (4) Fuzzy reasoning For given input values ​​(such as external light intensity and number of passengers), the fuzzy inference process is as follows: Input fuzzification: Map the actual input value (such as the specific measurement value of light intensity) to its corresponding fuzzy set and calculate its membership.

[0030] Method matching and activation: Traverse the fuzzy method library and find all methods that match the current input value. For each matching method, calculate its activation strength by taking the minimum value of the input variable membership.

[0031] Output fuzzy set aggregation: Aggregate the output parts (i.e. fuzzy sets of light brightness) of all activated methods.

[0032] (5) Defuzzification Use the Centroid Method: Calculate the "center of gravity" of the output fuzzy set, which is the weighted average of the center points of all fuzzy subsets, with the weight being the degree of membership of each fuzzy subset. This method can provide smoother output changes. Convert this value into a specific control value (i.e. the specific value of the light brightness).

[0033] (6) Control execution The defuzzified light brightness value is passed to the light control system to adjust the light brightness in the car.

[0034] The fuzzy control method for the interior lighting control of the vehicle in this embodiment is implemented as follows: There are the following fuzzy sets: Intensity of outdoor light (Intensity_Outdoor): {Dark (D), Medium (M), Bright (B)} Number of passengers in the carriage (Passenger_Count): {Few (F), Medium (M), Many (L)} Light brightness (Brightness): {Low, Medium, High} Method 1 If the outside light intensity is "dark" (D) and the number of passengers in the car is "many" (L), the light brightness should be "high" (High).

[0035] This method states that in very dark conditions, if there are many passengers in the vehicle, the lights should be set to maximum brightness to provide adequate illumination and passenger comfort.

[0036] Method 2 If the ambient light intensity is Medium (M) and the number of passengers in the car is Medium (M) or High (L), the light intensity should be Medium (Medium) or High (High).

[0037] This method takes into account the effect of passenger numbers on lighting levels under medium light conditions. If the number of passengers is moderate or high, lighting levels should be kept at medium or higher to ensure adequate lighting.

[0038] Method 3 If the ambient light intensity is Bright (B) and the number of passengers in the car is Few (F) or Medium (M), the light intensity should be Low or Medium.

[0039] This method means that when there is sufficient light, if there are few or moderate passengers in the car, the lighting brightness can be lowered or kept at a medium level to save energy.

[0040] Method 4 If the ambient light intensity changes from "dark" (D) to "medium" (M) and the number of passengers in the car remains unchanged, the light brightness should gradually decrease from "high" (High) to "medium" (Medium).

[0041] An intelligent energy-saving lighting fuzzy control system in a passenger car, comprising: A data acquisition module is used to collect real-time data on the external light intensity and the number of passengers in the carriage; The fuzzy control module is used to perform fuzzy processing on the collected data and output a control signal according to a preset fuzzy method library; The execution module is used to receive the control signal and convert it into an adjustment instruction for the brightness of the car lights to execute the adjustment of the brightness of the lights.

[0042] Furthermore, the system also includes a user interaction interface for displaying the current cabin light brightness status and providing the user with the function of customizing settings or manually adjusting the light brightness.

[0043] Furthermore, the system also includes an energy management module for monitoring the energy consumption of the lighting system.

[0044] And further optimize the control strategy based on energy consumption data.

[0045] For example, based on the analysis results of energy consumption data, the existing control strategy can be adjusted. For example, if it is found that the lights in a certain area remain at high brightness when there are few passengers, the lighting control strategy of the area can be adjusted to automatically reduce the brightness when there are no passengers or few passengers.

[0046] In addition, it is possible to predict future lighting needs based on vehicle routes and road conditions, and adjust lighting settings in advance to avoid unnecessary energy waste.

[0047] The specific steps are as follows: (1) Data acquisition module The light sensor continuously monitors the light intensity inside and outside the vehicle and transmits the data to the instrument controller module (controller model: WD-01) Infrared sensors or cameras monitor the number and location of passengers in real time and transmit the data to the instrument controller module (controller model: WD-01) The vehicle status sensor provides vehicle status information such as speed, driving route and road conditions, which is used by the infrared sensor or camera to monitor the number and location of passengers in real time, and transmit the data to the instrument controller module (controller model: WD-01) for reference.

[0048] (2) Fuzzy control module The microprocessor / single-chip computer generates the optimal lighting control strategy based on the received environmental information and passenger information and the fuzzy control algorithm for the lighting control in the car. The control strategy includes the setting of parameters such as light brightness, color temperature, distribution, and the selection of lighting control modes in different scenarios (such as day, night, tunnels, etc.).

[0049] (3) Execution module The drive circuit directly turns on, off and adjusts the LED lamp through the execution module according to the control signal of the microprocessor / single-chip microcomputer.

[0050] High-efficiency and energy-saving LED lamps are used as the lighting source in the car. LED lamps have the advantages of high luminous efficiency, long life, and dimmable light, and are very suitable for intelligent lighting systems.

[0051] Drive circuit and relay: used to drive the LED lamp on and off, and adjust the brightness and color temperature of the lamp. The drive circuit uses the relay to accurately control the LED lamp according to the control signal of the microprocessor / single-chip microcomputer.

[0052] During the lighting execution process, the system monitors the working status of the lamps in real time and transmits the feedback information to the microprocessor / chip microcomputer for verification and adjustment.

[0053] (4) User interface Passengers or managers can select lighting modes, adjust brightness, etc. through the human-computer interaction interface to achieve personalized settings.

[0054] The system provides a variety of preset lighting modes for users to choose from, such as reading mode, rest mode, etc., to meet the lighting needs in different scenarios.

[0055] Zoning control: Divide the carriage into multiple lighting zones, and independently control the lighting in each zone according to the distribution and activity of passengers to avoid ineffective lighting. For example, an 8-meter coach: Divide the car into 7 zones, and subdivide each zone into the driver zone, passenger standing zone, passenger seating zone, and passenger moving zone.

[0056] Adaptive adjustment: Automatically adjust the light brightness according to the changes in light intensity inside and outside the car to maintain a suitable lighting environment. When the outside light is strong, the light brightness inside the car is reduced; when the outside light is weak, the light brightness inside the car is increased.

[0057] Timed sleep: Automatically reduce the brightness of lights or turn off some lights when there are no passengers or few passengers to reduce energy consumption. At the same time, the system can predict the possible lighting needs in the future based on the vehicle's driving route and adjust the lighting settings in advance to save energy.

Claims

1. A method for intelligent energy-saving lighting fuzzy control in a passenger car, characterized in that: The following steps are involved: S1. Collect real-time data on external light intensity and the number of passengers in the car; S2. Fuzzify the collected data, output the fuzzy set, and convert the fuzzy set into an output signal of the cabin light brightness value; S3. Execute the output signal instruction to adjust the light brightness value.

2. The intelligent energy-saving lighting fuzzy control method in a passenger car according to claim 1 is characterized in that: The fuzzification processing step in S2 includes: S01. Define input and output variables and their corresponding fuzzy sets, and map the actual input values ​​to their corresponding fuzzy sets; S02, define a membership function for each fuzzy set and calculate its membership; S03. Design fuzzy method library; S04, traverse the fuzzy method library, find all the determination methods that match the current input value, calculate the activation strength of each matching method, aggregate the output parts of all activated methods, and output the fuzzy set; S05. Calculate the centroid of the output fuzzy set using the centroid method and convert the value into a specific numerical value.

3. The intelligent energy-saving lighting fuzzy control method in a passenger car according to claim 2 is characterized in that: The input variables include the intensity of outdoor light and the number of passengers in the car. The fuzzy set corresponding to the intensity of outdoor light (Intensity_Outdoor) is {dark (D), medium (M), bright (B)}; the fuzzy set corresponding to the number of passengers in the car (Passenger_Count) is {few (F), medium (M), many (L)}; the fuzzy set corresponding to the output variable, the brightness of the light in the car (Brightness), is {low (Low), medium (Medium), high (High)}.

4. The intelligent energy-saving lighting fuzzy control method in a passenger car according to claim 2 is characterized in that: The fuzzy method library is as follows: Method 1: If the outdoor light intensity (Intensity_Outdoor) is "dark" (D) and the number of passengers in the car (Passenger_Count) is "many" (L), the brightness of the light in the car (Brightness) should be "high" (High); Method 2: If the outdoor light intensity (Intensity_Outdoor) is "Medium" (M) and the number of passengers in the car (Passenger_Count) is "Medium" (M) or "Many" (L), the light brightness in the car (Brightness) should be "Medium" (Medium) or "High" (High); Method 3: If the outdoor light intensity (Intensity_Outdoor) is "bright" (B) and the number of passengers in the car (Passenger_Count) is "few" (F) or "medium" (M), then the light brightness in the car (Brightness) is "low" (Low) or "medium" (Medium); Method 4: If the outdoor light intensity (Intensity_Outdoor) changes from "Dark" (D) to "Medium" (M) and the number of passengers in the car (Passenger_Count) remains unchanged, the brightness of the light in the car (Brightness) decreases from "High" (High) to "Medium" (Medium).

5. The intelligent energy-saving lighting fuzzy control method in a passenger car according to claim 1 is characterized in that: The methods in the fuzzy method library can be dynamically adjusted and optimized based on machine learning.

6. An intelligent energy-saving lighting fuzzy control system in a passenger car, characterized in that: include: A data acquisition module is used to collect real-time data on the external light intensity and the number of passengers in the carriage; The fuzzy control module is used to perform fuzzy processing on the collected data, output a fuzzy set according to a preset fuzzy method library, and convert the fuzzy set into an output signal of the cabin light brightness value; The execution module is used to receive the output signal to execute the adjustment of the light brightness.

7. The intelligent energy-saving lighting fuzzy control system in a passenger car according to claim 6 is characterized in that: The system also includes a user interaction interface for displaying the current cabin light brightness status and providing the user with the function of customizing settings or manually adjusting the light brightness.

8. The intelligent energy-saving lighting fuzzy control system in a passenger car according to claim 6 is characterized in that: The system also includes an energy management module for monitoring the energy consumption of the lighting system.

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