Automatic induction energy-saving lighting control method and system for underground garage

Abstract

The present invention proposes an automatic sensing energy-saving lighting control method and system for an underground garage. The automatic sensing energy-saving lighting control method for an underground garage comprises: arranging a first sensor group and a second sensor group in each area of ​​the underground garage; collecting data information on the flow of people and light intensity in the underground garage in real time through the first sensor group in each area; sending the data information on the flow of people and light intensity to an intelligent controller, and performing a first lighting adjustment through the intelligent controller; collecting data information on the flow of vehicles and vehicle speed in the underground garage in real time through the second sensor group in each area; sending the data information on the flow of vehicles and vehicle speed to the intelligent controller, and performing a second lighting adjustment through the intelligent controller in combination with the current data information on the flow of people and light intensity.

Description

Technical Field

[0001] The invention provides an automatic induction energy-saving lighting control method and system for an underground garage, belonging to the technical field of lighting control. Background Art Summary of the invention

[0002] The present invention provides an automatic induction energy-saving lighting control method and system for an underground garage, which is used to solve the problem of low sensitivity of automatic adjustment of induction lighting in the underground garage in the prior art. The technical solution adopted is as follows:

[0003] An automatic sensing energy-saving lighting control method for an underground garage, the automatic sensing energy-saving lighting control method for an underground garage comprising:

[0004] Arrange a first sensor group and a second sensor group in each area of ​​the underground garage;

[0005] The first sensor group in each area collects data information about the flow of people and light intensity in the underground garage in real time;

[0006] Sending the data information of the human flow and light intensity to the intelligent controller, and performing a first lighting adjustment through the intelligent controller;

[0007] The second sensor group in each area collects data information on the traffic flow and vehicle speed in the underground garage in real time; the data information on the traffic flow and vehicle speed is sent to the intelligent controller, and the intelligent controller performs second lighting adjustment based on the current data information on the traffic flow and vehicle speed.

[0008] Furthermore, the first sensor group and the second sensor group are arranged in each area of ​​the underground garage, including:

[0009] Retrieving a digital structural diagram corresponding to the underground garage;

[0010] According to the digital structure diagram of the underground garage, the underground garage is divided into regions according to the preset regional area constraint conditions to obtain multiple regions corresponding to the underground garage; wherein the preset regional area constraint conditions are as follows:

[0011]

[0012] Among them, S represents the area corresponding to the region; S r Indicates the preset unit area, and the unit area value range is 20S d -50S d ; S d Indicates the illumination area of ​​a lamp; S t Indicates the area occupied by a parking space; L0 indicates the width of the area occupied by the parking space; Ld Indicates the installation interval distance between every two lamps;

[0013] Marking each area of ​​the underground garage, and sending each area and its corresponding mark to the intelligent controller for storage;

[0014] A first sensor group and a second sensor group are arranged in respective areas of the underground garage.

[0015] Furthermore, the first sensor group in each area collects data information about the flow of people and light intensity in the underground garage in real time, including:

[0016] Initializing sensors included in the first sensor group, wherein the first sensor group includes a first infrared sensor and a first light intensity sensor;

[0017] The first infrared sensor is used to collect data information of people in the area in real time, and obtain information about the number of people in the area in a unit time period; wherein the value range of the unit time period is 3 minutes to 10 minutes;

[0018] The light intensity information per unit time is acquired by the first light intensity sensor.

[0019] Furthermore, the data information of the human flow and light intensity is sent to the intelligent controller, and the first lighting adjustment is performed by the intelligent controller, including:

[0020] Sending the personnel data information and light intensity information in each unit to the intelligent controller;

[0021] The basic lighting intensity in each area is automatically adjusted by the intelligent controller according to the personnel data information and the lighting intensity information in each unit time; wherein the basic lighting intensity in each area is obtained by the following formula:

[0022]

[0023]

[0024]

[0025] Wherein, E represents the basic lighting intensity; S represents the area corresponding to the area; Ψ represents the total luminous flux of all lamps corresponding to the area; λ represents the utilization coefficient, and the value range of λ is 0.38-0.56; m represents the maintenance coefficient (obtained or calculated by consulting the lighting design software or manual); A represents the gain factor; N represents the number of people who have appeared in the area within the current unit time, and N is rounded up; I crepresents the light intensity corresponding to the starting moment of the current unit time in the garage; I0 represents the minimum allowable light intensity in the garage; e represents the adjustment coefficient; n represents the total number of unit times of light adjustment that the area has experienced; N i represents the total number of people appearing in the area in the i-th unit time; k 01 and k 02 I represent the preset passenger flow weight coefficient and light weight change coefficient respectively; ci It indicates the maximum light intensity of the area in the i-th unit time.

[0026] Furthermore, the second sensor group in each area collects data information of the traffic flow and vehicle speed of the underground garage in real time; the data information of the traffic flow and vehicle speed is sent to the intelligent controller, and the intelligent controller performs the second lighting adjustment in combination with the current data information of the traffic flow and vehicle speed, including:

[0027] Initializing sensors included in the second sensor group, wherein the second sensor group includes a laser sensor, a second infrared sensor, and a second light intensity sensor;

[0028] The laser sensor collects in real time the entry speed of the vehicle into the area and the driving speed of the vehicle in the area as first data information;

[0029] collecting the vehicle flow in the area within a unit time by means of the second infrared sensor as second data information;

[0030] Using the second light intensity sensor to collect the light intensity of each vehicle entering the area in real time as third data information;

[0031] Sending the first data information, the second data information and the third data information to the intelligent controller;

[0032] The intelligent controller obtains the lighting intensity compensation amount corresponding to each unit time through the first data information, the second data information and the third data information; wherein the lighting intensity compensation amount is obtained by the following formula:

[0033]

[0034]

[0035] Where ΔE represents the compensation amount of lighting intensity; R i represents the vehicle coefficient corresponding to the i-th unit time; r represents the total number of vehicles entering the area within the i-th unit time; V jrepresents the speed of the jth vehicle entering the area; V0 represents the preset entry speed reference value; T j I represents the duration of time the lights of the jth vehicle entering the area are turned on; qj represents the illumination intensity corresponding to the headlights of the jth vehicle entering the area; T d Indicates the length of time corresponding to a unit of time; I ci Indicates the maximum light intensity in the area during the i-th unit time;

[0036] The illumination intensity corresponding to each unit time is obtained by using the illumination intensity compensation amount combined with the basic illumination intensity corresponding to each unit time; wherein the illumination intensity is obtained by the following formula:

[0037] E m =E-ΔE

[0038] Among them, E m Indicates the illumination intensity corresponding to each unit time; E indicates the basic illumination intensity;

[0039] The illumination intensity per unit time of each area is adjusted according to the illumination intensity.

[0040] An automatic sensing energy-saving lighting control system for an underground garage, the automatic sensing energy-saving lighting control system for an underground garage comprising:

[0041] A sensor arrangement module, used for arranging a first sensor group and a second sensor group in each area of ​​the underground garage;

[0042] A first real-time data collection module is used to collect data information on the flow of people and light intensity in the underground garage in real time through a first sensor group in each area;

[0043] A lighting adjustment module, used for sending the data information of the pedestrian flow and light intensity to the intelligent controller, and performing a first lighting adjustment through the intelligent controller;

[0044] The second real-time data acquisition module is used to collect data information on vehicle flow and vehicle speed in the underground garage in real time through the second sensor group in each area; the data information on vehicle flow and vehicle speed is sent to the intelligent controller, and the intelligent controller performs second lighting adjustment based on the current data information on vehicle flow and vehicle speed.

[0045] Furthermore, the sensor arrangement module comprises:

[0046] A digital structure diagram retrieval module is used to retrieve the digital structure diagram corresponding to the underground garage;

[0047] The area division module is used to divide the underground garage into areas according to the digital structure diagram of the underground garage according to the preset area constraint conditions, so as to obtain multiple areas corresponding to the underground garage; wherein the preset area constraint conditions are as follows:

[0048]

[0049] Among them, S represents the area corresponding to the region; S r Indicates the preset unit area, and the unit area value range is 20S d -50S d ; S d Indicates the illumination area of ​​a lamp; S t Indicates the area occupied by a parking space; L0 indicates the width of the area occupied by the parking space; L d Indicates the installation interval distance between every two lamps;

[0050] A marking storage module is used to mark each area of ​​the underground garage and send each area and its corresponding mark to the intelligent controller for storage;

[0051] The sensor arrangement setting module is used to arrange the first sensor group and the second sensor group in each area of ​​the underground garage.

[0052] Furthermore, the first real-time data acquisition module includes:

[0053] A first initialization module, used to initialize the sensors included in the first sensor group, wherein the first sensor group includes a first infrared sensor and a first light intensity sensor;

[0054] A number information acquisition module, used to collect data information of people in the area in real time through the first infrared sensor, and obtain the number of people in the area in a unit time period; wherein the value range of the unit time period is 3min-10min;

[0055] The light intensity information acquisition module is used to acquire the light intensity information per unit time through the first light intensity sensor.

[0056] Furthermore, the lighting adjustment module includes:

[0057] An information sending module, used for sending the personnel data information and light intensity information in each unit to the intelligent controller;

[0058] The first lighting adjustment module is used to automatically adjust the basic lighting intensity in each area according to the personnel data information and the lighting intensity information in each unit time through the intelligent controller; wherein the basic lighting intensity in each area is obtained by the following formula:

[0059]

[0060]

[0061]

[0062] Wherein, E represents the basic lighting intensity; S represents the area corresponding to the area; Ψ represents the total luminous flux of all lamps corresponding to the area; λ represents the utilization coefficient, and the value range of λ is 0.38-0.56; m represents the maintenance coefficient (obtained or calculated by consulting the lighting design software or manual); A represents the gain factor; N represents the number of people who have appeared in the area within the current unit time, and N is rounded up; I c represents the light intensity corresponding to the starting moment of the current unit time in the garage; I0 represents the minimum allowable light intensity in the garage; e represents the adjustment coefficient; n represents the total number of unit times of light adjustment that the area has experienced; N i represents the total number of people appearing in the area in the i-th unit time; k 01 and k 02 I represent the preset passenger flow weight coefficient and light weight change coefficient respectively; ci It indicates the maximum light intensity of the area in the i-th unit time.

[0063] Furthermore, the second real-time data acquisition module includes:

[0064] A second initialization module, used to initialize the sensors included in the second sensor group, wherein the second sensor group includes a laser sensor, a second infrared sensor, and a second light intensity sensor;

[0065] A first data information acquisition module, used to collect, in real time, the entry speed of vehicles entering the area and the driving speed of vehicles in the area through the laser sensor as first data information;

[0066] A second data information acquisition module, used for collecting the vehicle flow in the area per unit time through the second infrared sensor as the second data information;

[0067] A third data information acquisition module, configured to use the second light intensity sensor to collect the light intensity of each vehicle entering the area in real time as third data information;

[0068] A data information sending module, used for sending the first data information, the second data information and the third data information to the intelligent controller;

[0069] The lighting intensity compensation amount acquisition module is used for the intelligent controller to acquire the lighting intensity compensation amount corresponding to each unit time through the first data information, the second data information and the third data information; wherein the lighting intensity compensation amount is acquired by the following formula:

[0070]

[0071]

[0072] Where ΔE represents the compensation amount of lighting intensity; R i represents the vehicle coefficient corresponding to the i-th unit time; r represents the total number of vehicles entering the area within the i-th unit time; V j represents the speed of the jth vehicle entering the area; V0 represents the preset entry speed reference value; T j I represents the duration of time the lights of the jth vehicle entering the area are turned on; qj represents the illumination intensity corresponding to the headlights of the jth vehicle entering the area; T d Indicates the length of time corresponding to a unit of time; I ci Indicates the maximum light intensity in the area during the i-th unit time;

[0073] The lighting intensity acquisition module is used to obtain the lighting intensity corresponding to each unit time by using the lighting intensity compensation amount combined with the basic lighting intensity corresponding to each unit time; wherein the lighting intensity is obtained by the following formula:

[0074] E m =E-ΔE

[0075] Among them, E m Indicates the illumination intensity corresponding to each unit time; E indicates the basic illumination intensity;

[0076] The second lighting adjustment module is used to adjust the lighting intensity of each area per unit time according to the lighting intensity.

[0077] Beneficial effects of the present invention:

[0078] The automatic sensing energy-saving lighting control method and system for underground garages proposed by the present invention can accurately adjust the brightness and switch status of the lighting system by collecting and analyzing the environmental data in the garage in real time, and the intelligent controller can avoid the energy waste under the traditional fixed lighting or timed switch mode, thereby achieving a significant energy-saving effect. According to the real-time data of vehicle flow, vehicle speed, pedestrian flow and light intensity, the intelligent lighting system can increase the lighting brightness when needed to ensure the safety of driving and personnel. Especially in areas with weak light or large pedestrian and vehicle flow, the occurrence of accidents can be effectively reduced by increasing the lighting brightness. The intelligent lighting system can automatically adjust the lighting according to actual needs to provide a more comfortable and convenient parking environment for car owners and pedestrians. When high-intensity lighting is not required, reducing the brightness can reduce visual interference and improve user experience. By introducing the Internet of Things and intelligent control technology, the underground garage lighting system realizes intelligent management. Managers can remotely monitor and control the lighting system, view and adjust the lighting status in real time, and improve the convenience and efficiency of management. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 is a flow chart of the method of the present invention;

[0080] Figure 2 The system block diagram of the system of the present invention. DETAILED DESCRIPTION

[0081] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0082] The embodiment of the present invention provides an automatic sensing energy-saving lighting control method for an underground garage. Figure 1 As shown, the automatic induction energy-saving lighting control method for the underground garage includes:

[0083] S1. Arranging a first sensor group and a second sensor group in each area of ​​the underground garage;

[0084] S2, collecting data information on the flow of people and light intensity in the underground garage in real time through the first sensor group in each area;

[0085] S3, sending the data information of the human flow and light intensity to the intelligent controller, and performing a first lighting adjustment through the intelligent controller;

[0086] S4. Collect the data information of the traffic flow and vehicle speed in the underground garage in real time through the second sensor group in each area; send the data information of the traffic flow and vehicle speed to the intelligent controller, and perform the second lighting adjustment through the intelligent controller in combination with the current data information of the traffic flow and vehicle speed.

[0087] The working principle of the above technical solution is as follows: a first sensor group and a second sensor group are arranged in each area of ​​the underground garage. The first sensor group is mainly used to collect data information on pedestrian flow and light intensity in real time, while the second sensor group is mainly used to collect data information on vehicle flow and vehicle speed in real time. The collected data information on pedestrian flow, light intensity, vehicle flow and vehicle speed is sent to the intelligent controller. The intelligent controller receives, analyzes and processes the above data. Based on the pedestrian flow and light intensity data provided by the first sensor group, the intelligent controller performs preliminary lighting adjustments. For example, when the pedestrian flow is small and the light intensity is sufficient, the intelligent controller may reduce the lighting brightness or turn off some lamps to save energy. Combined with the vehicle flow and vehicle speed data provided by the second sensor group, the intelligent controller performs more detailed lighting adjustments. Considering the safety requirements of vehicle driving, the intelligent controller may increase the lighting brightness in areas with more vehicles or faster vehicle speeds to ensure driving safety.

[0088] The effect of the above technical solution is: by collecting and analyzing the environmental data in the garage in real time, the intelligent controller can accurately adjust the brightness and switch status of the lighting system, avoiding energy waste under traditional fixed lighting or timed switch mode, thereby achieving significant energy saving effect. According to the real-time data of vehicle flow, vehicle speed, pedestrian flow and light intensity, the intelligent lighting system can increase the lighting brightness when needed to ensure driving and personnel safety. Especially in areas with weak light or large pedestrian and vehicle flow, increasing the lighting brightness can effectively reduce the occurrence of accidents. The intelligent lighting system can automatically adjust the lighting according to actual needs to provide car owners and pedestrians with a more comfortable and convenient parking environment. When high-intensity lighting is not required, reducing the brightness can reduce visual interference and improve user experience. By introducing the Internet of Things and intelligent control technology, the underground garage lighting system has achieved intelligent management. Managers can remotely monitor and control the lighting system, view and adjust the lighting status in real time, and improve the convenience and efficiency of management.

[0089] In summary, the automatic sensing energy-saving lighting control method for underground garages realizes precise adjustment and intelligent management of the lighting system by introducing advanced sensors and intelligent control technologies, which not only improves energy utilization efficiency, but also improves driving and personnel safety as well as user experience.

[0090] In one embodiment of the present invention, a first sensor group and a second sensor group are arranged in each area of ​​the underground garage, including:

[0091] S101, retrieving a digital structure diagram corresponding to the underground garage;

[0092] S102, dividing the underground garage into regions according to the digital structure diagram of the underground garage and the preset regional area constraint conditions to obtain a plurality of regions corresponding to the underground garage; wherein the preset regional area constraint conditions are as follows:

[0093]

[0094] Among them, S represents the area corresponding to the region; S r Indicates the preset unit area, and the unit area value range is 20S d -50S d ; S d Indicates the illumination area of ​​a lamp; S t Indicates the area occupied by a parking space; L0 indicates the width of the area occupied by the parking space; L d Indicates the installation interval distance between every two lamps;

[0095] S103, marking each area of ​​the underground garage, and sending each area and its corresponding mark to the intelligent controller for storage;

[0096] S104: Arrange a first sensor group and a second sensor group in each area of ​​the underground garage.

[0097] The working principle of the above technical solution is as follows: First, the system will retrieve the digital structural diagram of the underground garage, which is an electronic drawing containing detailed information such as the garage geometry, parking space layout, and aisle width. According to the preset area constraints, the system will divide the underground garage into areas. The above constraints take into account the illumination range of the lamps, the size of the parking spaces, and the installation spacing of the lamps. Specifically, by calculating the unit area (S r , the value range is 20 to 50 times the illumination area S of a lamp. d Between) and parking space area (S t ) and the installation distance of lamps (L d ) to determine a reasonable area (S). The purpose of this division is to ensure that the lighting needs in each area can be met effectively and evenly. After the area division is completed, the system will mark each area and send the above area and its corresponding marking information to the intelligent controller for storage. In this way, the intelligent controller can identify and manage each area and provide basic data for subsequent lighting control. Finally, the first sensor group and the second sensor group are arranged in each divided area. The first sensor group is mainly used to monitor pedestrian flow and light intensity, while the second sensor group is used to monitor vehicle flow and vehicle speed. The above sensors will collect data in real time and transmit it to the intelligent controller for subsequent lighting adjustment.

[0098] The effect of the above technical solution is: by scientifically and reasonably dividing the underground garage into different areas, combined with the illumination range of the lamps and the layout of the parking spaces, it is possible to ensure that the lighting needs of each area are met, avoiding insufficient or excessive lighting, thereby improving the lighting effect. The lighting control system based on regional division can accurately adjust the lighting according to the actual situation of each area, avoiding unnecessary energy waste. At the same time, by real-time monitoring of environmental data and automatically adjusting the lighting status, energy conservation and efficient utilization can be further achieved. By arranging sensors in each area and collecting data in real time, the system can promptly detect potential safety hazards and take corresponding measures. For example, increasing the lighting brightness in areas with a large number of vehicles or a large flow of people can effectively reduce the occurrence of accidents and improve the safety of driving and personnel. By dividing and marking the underground garage into different areas, managers can have a clearer understanding of the layout and lighting conditions of the garage, which is convenient for daily management and maintenance. At the same time, the introduction of intelligent controllers also improves the level of intelligent management and reduces management costs.

[0099] In one embodiment of the present invention, data information on the flow of people and light intensity in an underground garage is collected in real time by a first sensor group in each area, including:

[0100] S201, initializing sensors included in the first sensor group, wherein the first sensor group includes a first infrared sensor and a first light intensity sensor;

[0101] S202, collecting data information of people in the area in real time through the first infrared sensor to obtain information on the number of people in the area in a unit time period; wherein the value range of the unit time period is 3 minutes to 10 minutes;

[0102] S203: Acquire light intensity information per unit time through the first light intensity sensor.

[0103] The working principle of the above technical solution is as follows: First, the sensors in the first sensor group are initialized. The first sensor group includes a first infrared sensor and a first light intensity sensor. The initialization process involves calibrating the sensor, setting working parameters, etc., to ensure that the sensor can work accurately and stably. The first infrared sensor is used to collect personnel data information in various areas of the underground garage in real time. The infrared sensor identifies people by detecting infrared radiation emitted by the human body, thereby obtaining information on the number of people in the area within a unit time period (such as 3 minutes to 10 minutes). This non-contact detection method can quickly and accurately reflect the flow of people. At the same time, the light intensity information per unit time is obtained through the first light intensity sensor. The light intensity sensor can measure the light intensity in the environment in real time and convert it into readable data. These data reflect the actual lighting conditions in various areas of the garage, providing an important basis for subsequent lighting adjustment.

[0104] The effect of the above technical solution is: by collecting personnel data information and light intensity information in real time, the system can quickly respond to environmental changes in the garage, adjust the lighting status in time, and ensure that the lighting effect matches the actual needs. Infrared sensors and light intensity sensors have high precision and stability, and can accurately measure the number of people and light intensity, providing reliable data support for lighting adjustment. Based on the data collected in real time, the system can accurately control the brightness and switch status of lighting fixtures, avoid unnecessary energy waste, and achieve energy-saving effects. By adjusting the lighting status, the system can improve the visual environment in the garage and improve the comfort and sense of security of personnel. Through automated data collection and processing, the system realizes intelligent management of the underground garage lighting system, reduces the need for manual intervention, and improves management efficiency.

[0105] In summary, this technical solution provides important data support for lighting adjustment by collecting personnel data information and light intensity information in each area of ​​the underground garage in real time, achieving the goals of energy saving, comfort and intelligent management.

[0106] In one embodiment of the present invention, the data information of the flow of people and the light intensity is sent to the intelligent controller, and the first lighting adjustment is performed by the intelligent controller, including:

[0107] S301, sending the personnel data information and light intensity information in each unit to the intelligent controller;

[0108] S302, automatically adjusting the basic lighting intensity in each area according to the personnel data information and the lighting intensity information in each unit time by the intelligent controller; wherein the basic lighting intensity in each area is obtained by the following formula:

[0109]

[0110]

[0111]

[0112] Wherein, E represents the basic lighting intensity; S represents the area corresponding to the area; Ψ represents the total luminous flux of all lamps corresponding to the area; λ represents the utilization coefficient, and the value range of λ is 0.38-0.56; m represents the maintenance coefficient (obtained or calculated by consulting the lighting design software or manual); A represents the gain factor; N represents the number of people who have appeared in the area within the current unit time, and N is rounded up; I c represents the light intensity corresponding to the starting moment of the current unit time in the garage; I0 represents the minimum allowable light intensity in the garage; e represents the adjustment coefficient; n represents the total number of unit times of light adjustment that the area has experienced; N i represents the total number of people appearing in the area in the i-th unit time; k 01 and k 02 I represent the preset passenger flow weight coefficient and light weight change coefficient respectively; ci It indicates the maximum light intensity of the area in the i-th unit time.

[0113] The working principle of the above technical solution is as follows: First, the personnel data information and light intensity information in each unit time will be sent to the intelligent controller. This information is collected and processed in real time by the first sensor group, and it reflects the actual personnel flow and light conditions in each area of ​​the underground garage. After receiving this data, the intelligent controller will automatically adjust the basic lighting intensity in each area according to the preset algorithm and formula. This adjustment process is completed based on the personnel data information and light intensity information in each unit time, ensuring the real-time and accuracy of lighting adjustment.

[0114] During the adjustment process, the intelligent controller uses a specific formula to calculate the basic lighting intensity of each area. This formula takes into account a variety of factors, including the area of ​​the area, the total luminous flux of the lamps, the utilization factor, the maintenance factor, the gain factor, the current number of people, the light intensity at the start time, the minimum allowable light intensity, etc. These factors together determine the basic lighting intensity required for each area. The preset traffic weight coefficient and light weight change coefficient in the formula are used to adjust the weight of personnel data information and light intensity information in lighting adjustment. By setting these coefficients reasonably, accurate adjustment of lighting needs under different environmental conditions can be achieved.

[0115] The effect of the above technical solution is: the lighting of each area of ​​the underground garage is automatically adjusted by the intelligent controller, realizing the intelligent management of the lighting system. This not only reduces the need for manual intervention and improves management efficiency, but also ensures that the lighting effect is always kept in the best state. Lighting adjustment based on real-time personnel data information and light intensity information can avoid unnecessary energy waste. When there are few people or sufficient light, the system will automatically reduce the lighting intensity or turn off some lamps to achieve energy saving. At the same time, when there are dense people or insufficient light, the system will automatically increase the lighting intensity to ensure driving and personnel safety. Through precise lighting adjustment, the system can ensure that the lighting environment in the underground garage is always maintained at a comfortable and safe level. This can not only improve the user experience of car owners and pedestrians, but also help reduce the risk of accidents caused by insufficient or excessive light. The technical solution has high flexibility and adaptability. By adjusting the preset weight coefficient and change coefficient, the system can adapt to the lighting needs at different times, different areas and different usage scenarios. At the same time, with the development of technology and changes in demand, the system can also meet more functional requirements through upgrading and expansion.

[0116] On the other hand, by introducing the area (S) and the total luminous flux (Ψ) of the lamps, the basic lighting intensity (E) can be accurately calculated to ensure that each area obtains the appropriate light level. The consideration of the utilization coefficient (λ) and the maintenance coefficient (m) makes the calculation more in line with the actual situation and reduces the error of the light calculation. By considering the gain factor (A) and the number of people who have appeared in the area per unit time (N), the light intensity can be dynamically adjusted to better meet the lighting needs of personnel activities. The setting of the minimum allowable light intensity (I0) ensures that the light level in the garage will not be lower than a safe and comfortable threshold under any circumstances. At the same time, by considering the total number of people (N) appearing in the area per unit time i ) and the maximum light intensity (I ci ) real-time monitoring, the system can quickly respond to changes in the number of people and lighting conditions in the garage. The introduction of the adjustment coefficient (e) and the total number of unit time of lighting adjustment that has been experienced (n) enables the system to make more refined adjustments based on historical data and current conditions, thereby improving the sensitivity of the adjustment. 01 ) and the illumination weight change coefficient (k 02 ) settings allow the system to prioritize crowd flow and lighting changes according to different weights, further improving the sensitivity and adaptability of the adjustment.

[0117] In summary, the application of these physical quantities enables the automatic light intensity adjustment system to calculate the light intensity more accurately and respond more sensitively to changes in the environment and people in the garage, thereby providing a more comfortable, safe and energy-saving lighting environment.

[0118] In one embodiment of the present invention, data information on vehicle flow and vehicle speed in an underground garage is collected in real time by a second sensor group in each area; the data information on vehicle flow and vehicle speed is sent to an intelligent controller, and the intelligent controller performs second lighting adjustment based on the current data information on vehicle flow and vehicle speed, including:

[0119] S401, initializing sensors included in the second sensor group, wherein the second sensor group includes a laser sensor, a second infrared sensor, and a second light intensity sensor;

[0120] S402, collecting, by the laser sensor, an entry speed of a vehicle entering the area and a driving speed of the vehicle in the area in real time as first data information;

[0121] S403, collecting the vehicle flow in the area within a unit time by using the second infrared sensor as second data information;

[0122] S404, using the second light intensity sensor to collect the light intensity of each vehicle entering the area in real time as third data information;

[0123] S405, sending the first data information, the second data information and the third data information to the intelligent controller;

[0124] S406. The intelligent controller obtains the lighting intensity compensation amount corresponding to each unit time through the first data information, the second data information and the third data information; wherein the lighting intensity compensation amount is obtained through the following formula:

[0125]

[0126]

[0127] Where ΔE represents the compensation amount of lighting intensity; R i represents the vehicle coefficient corresponding to the i-th unit time; r represents the total number of vehicles entering the area within the i-th unit time; V j represents the speed of the jth vehicle entering the area; V0 represents the preset entry speed reference value; T j I represents the duration of time the lights of the jth vehicle entering the area are turned on; qj represents the illumination intensity corresponding to the headlights of the jth vehicle entering the area; T d Indicates the length of time corresponding to a unit of time; I ci Indicates the maximum light intensity in the area during the i-th unit time;

[0128] S407, using the illumination intensity compensation amount combined with the basic illumination intensity corresponding to each unit time to obtain the illumination intensity corresponding to each unit time; wherein the illumination intensity is obtained by the following formula:

[0129] E m =E-ΔE

[0130] Among them, E m Indicates the illumination intensity corresponding to each unit time; E indicates the basic illumination intensity;

[0131] S408: Adjust the illumination intensity per unit time of each area according to the illumination intensity.

[0132] The working principle of the above technical solution is as follows: First, the sensors in the second sensor group are initialized. These sensors include a laser sensor, a second infrared sensor, and a second light intensity sensor. Initialization ensures that the sensors can work normally and are ready to start data collection. The laser sensor collects the entry speed of vehicles entering the area and the driving speed in the area in real time. These data reflect the dynamic behavior of the vehicle. The second infrared sensor is used to collect the traffic volume in the area per unit time, that is, the number of vehicles passing through. The second light intensity sensor collects the headlight illumination intensity of each vehicle entering the area in real time. The above technical solution helps to understand the specific impact of the vehicle on the lighting environment. The collected data such as vehicle entry speed, driving speed, vehicle flow and headlight illumination intensity are sent to the intelligent controller. These data provide an important basis for subsequent lighting adjustment.

[0133] Based on the received vehicle data, the intelligent controller combines the preset algorithms and formulas to calculate the lighting intensity compensation corresponding to each unit time. This compensation takes into account multiple factors such as vehicle coefficient, vehicle speed, headlight on time and headlight intensity, and aims to adjust the lighting intensity according to the real-time vehicle conditions. Using the calculated lighting intensity compensation and basic lighting intensity, the intelligent controller further calculates the lighting intensity corresponding to each unit time. Then, based on this calculation result, the intelligent controller automatically adjusts the lighting intensity of each area per unit time to ensure that the lighting environment meets driving needs without excessive power consumption.

[0134] The effect of the above technical solution is: by collecting vehicle data in real time and calculating the compensation amount of lighting intensity, the technical solution can realize the precise adjustment of the lighting intensity of each area of ​​the underground garage. The above technical solution helps to ensure that the lighting system can respond quickly and provide sufficient brightness to improve driving safety when vehicles frequently enter and exit or travel at a high speed. When there are few vehicles or the driving speed is slow, the system can automatically reduce the lighting intensity to avoid unnecessary energy waste. This dynamic adjustment method not only helps to reduce energy consumption, but also prolongs the service life of lamps. The lighting system is automatically adjusted by the intelligent controller, realizing the intelligent management of the lighting system. This reduces the need for manual intervention, improves management efficiency, and also helps to improve the user experience of car owners and pedestrians. The technical solution has strong adaptability and can be flexibly adjusted according to the lighting needs at different times, different areas and different vehicle conditions. The above technical solution helps to ensure that the underground garage is always kept in the best lighting state to meet the needs of various usage scenarios.

[0135] On the other hand, by collecting data information such as vehicle flow, vehicle speed, pedestrian flow and light intensity in real time and sending it to the intelligent controller for processing immediately, the lighting system can be adjusted instantly. This improvement in real time ensures that the lighting system can respond quickly to environmental changes in the garage, thereby improving the sensitivity of adjustment. This technical solution can flexibly adjust the lighting needs according to different times, different areas and different vehicle conditions. For example, in areas where vehicles frequently enter and exit or travel at a high speed, the system will automatically increase the lighting intensity; while in areas where vehicles are sparse or travel at a slow speed, the lighting intensity will be appropriately reduced. This dynamic adaptability helps ensure that the lighting system always maintains the best working condition and improves the sensitivity of adjustment.

[0136] At the same time, the sensors and intelligent controllers in the above technical solution of this embodiment can collect, analyze and respond to data changes in a very short time. When the lighting conditions in the garage change, the system can make adjustments quickly to ensure that the lighting intensity is compensated in time. This fast response speed helps to avoid insufficient or excessive lighting, and improves the comfort and safety of the environment in the garage. In addition, by adopting advanced algorithms and formulas, the technical solution can accurately calculate the lighting intensity compensation amount corresponding to each unit time. The above technical solution enables the system to perform refined lighting adjustment according to different areas, different times, and different vehicles and traffic conditions. The improvement of adjustment accuracy helps to reduce energy waste and ensure that the garage always maintains a suitable light level. The sensors and intelligent controllers in the above technical solution have high stability and can maintain stable performance during long-term operation. In addition, the system also has self-diagnosis and fault handling capabilities, and can promptly alarm and repair when abnormal conditions occur, ensuring the continuity and reliability of light intensity adjustment. The technical solution can adapt to the garage environment under different lighting conditions. Whether the light is too strong or too weak, the system can achieve effective compensation of light intensity by adjusting the lighting intensity compensation amount. This strong adaptability enables the technical solution to be widely used in various types of underground garages.

[0137] In summary, the above technical solution has shown technical effects in terms of performance indicators such as fast response speed, high adjustment accuracy, good stability and strong adaptability in terms of compensation for light intensity adjustment. These technical effects jointly improve the comfort and safety of the lighting environment in the garage, while also reducing energy consumption and maintenance costs.

[0138] The embodiment of the present invention provides an automatic sensing energy-saving lighting control system for an underground garage. Figure 2 As shown, the underground garage automatic induction energy-saving lighting control system includes:

[0139] A sensor arrangement module, used for arranging a first sensor group and a second sensor group in each area of ​​the underground garage;

[0140] A first real-time data collection module is used to collect data information on the flow of people and light intensity in the underground garage in real time through a first sensor group in each area;

[0141] A lighting adjustment module, used for sending the data information of the pedestrian flow and light intensity to the intelligent controller, and performing a first lighting adjustment through the intelligent controller;

[0142] The second real-time data acquisition module is used to collect data information on vehicle flow and vehicle speed in the underground garage in real time through the second sensor group in each area; the data information on vehicle flow and vehicle speed is sent to the intelligent controller, and the intelligent controller performs second lighting adjustment based on the current data information on vehicle flow and vehicle speed.

[0143] The working principle of the above technical solution is as follows: a first sensor group and a second sensor group are arranged in each area of ​​the underground garage. The first sensor group is mainly used to collect data information on pedestrian flow and light intensity in real time, while the second sensor group is mainly used to collect data information on vehicle flow and vehicle speed in real time. The collected data information on pedestrian flow, light intensity, vehicle flow and vehicle speed is sent to the intelligent controller. The intelligent controller receives, analyzes and processes the above data. Based on the pedestrian flow and light intensity data provided by the first sensor group, the intelligent controller performs preliminary lighting adjustments. For example, when the pedestrian flow is small and the light intensity is sufficient, the intelligent controller may reduce the lighting brightness or turn off some lamps to save energy. Combined with the vehicle flow and vehicle speed data provided by the second sensor group, the intelligent controller performs more detailed lighting adjustments. Considering the safety requirements of vehicle driving, the intelligent controller may increase the lighting brightness in areas with more vehicles or faster vehicle speeds to ensure driving safety.

[0144] The effect of the above technical solution is: by collecting and analyzing the environmental data in the garage in real time, the intelligent controller can accurately adjust the brightness and switch status of the lighting system, avoiding energy waste under traditional fixed lighting or timed switch mode, thereby achieving significant energy saving effect. According to the real-time data of vehicle flow, vehicle speed, pedestrian flow and light intensity, the intelligent lighting system can increase the lighting brightness when needed to ensure driving and personnel safety. Especially in areas with weak light or large pedestrian and vehicle flow, increasing the lighting brightness can effectively reduce the occurrence of accidents. The intelligent lighting system can automatically adjust the lighting according to actual needs to provide car owners and pedestrians with a more comfortable and convenient parking environment. When high-intensity lighting is not required, reducing the brightness can reduce visual interference and improve user experience. By introducing the Internet of Things and intelligent control technology, the underground garage lighting system has achieved intelligent management. Managers can remotely monitor and control the lighting system, view and adjust the lighting status in real time, and improve the convenience and efficiency of management.

[0145] In summary, the automatic sensing energy-saving lighting control method for underground garages realizes precise adjustment and intelligent management of the lighting system by introducing advanced sensors and intelligent control technologies, which not only improves energy utilization efficiency, but also improves driving and personnel safety as well as user experience.

[0146] In one embodiment of the present invention, the sensor arrangement module comprises:

[0147] A digital structure diagram retrieval module is used to retrieve the digital structure diagram corresponding to the underground garage;

[0148] The area division module is used to divide the underground garage into areas according to the digital structure diagram of the underground garage according to the preset area constraint conditions, so as to obtain multiple areas corresponding to the underground garage; wherein the preset area constraint conditions are as follows:

[0149]

[0150] Among them, S represents the area corresponding to the region; S r Indicates the preset unit area, and the unit area value range is 20S d -50S d ; S d Indicates the illumination area of ​​a lamp; S t Indicates the area occupied by a parking space; L0 indicates the width of the area occupied by the parking space; L d Indicates the installation interval distance between every two lamps;

[0151] A marking storage module is used to mark each area of ​​the underground garage and send each area and its corresponding mark to the intelligent controller for storage;

[0152] The sensor arrangement setting module is used to arrange the first sensor group and the second sensor group in each area of ​​the underground garage.

[0153] The working principle of the above technical solution is as follows: First, the system will retrieve the digital structural diagram of the underground garage, which is an electronic drawing containing detailed information such as the garage geometry, parking space layout, and aisle width. According to the preset area constraints, the system will divide the underground garage into areas. The above constraints take into account the illumination range of the lamps, the size of the parking spaces, and the installation spacing of the lamps. Specifically, by calculating the unit area (S r , the value range is 20 to 50 times the illumination area S of a lamp. d Between) and parking space area (S t ) and the installation distance of lamps (L d) to determine a reasonable area (S). The purpose of this division is to ensure that the lighting needs in each area can be met effectively and evenly. After the area division is completed, the system will mark each area and send the above area and its corresponding marking information to the intelligent controller for storage. In this way, the intelligent controller can identify and manage each area and provide basic data for subsequent lighting control. Finally, the first sensor group and the second sensor group are arranged in each divided area. The first sensor group is mainly used to monitor pedestrian flow and light intensity, while the second sensor group is used to monitor vehicle flow and vehicle speed. The above sensors will collect data in real time and transmit it to the intelligent controller for subsequent lighting adjustment.

[0154] The effect of the above technical solution is: by scientifically and reasonably dividing the underground garage into different areas, combined with the illumination range of the lamps and the layout of the parking spaces, it is possible to ensure that the lighting needs of each area are met, avoiding insufficient or excessive lighting, thereby improving the lighting effect. The lighting control system based on regional division can accurately adjust the lighting according to the actual situation of each area, avoiding unnecessary energy waste. At the same time, by real-time monitoring of environmental data and automatically adjusting the lighting status, energy conservation and efficient utilization can be further achieved. By arranging sensors in each area and collecting data in real time, the system can promptly detect potential safety hazards and take corresponding measures. For example, increasing the lighting brightness in areas with a large number of vehicles or a large flow of people can effectively reduce the occurrence of accidents and improve the safety of driving and personnel. By dividing and marking the underground garage into different areas, managers can have a clearer understanding of the layout and lighting conditions of the garage, which is convenient for daily management and maintenance. At the same time, the introduction of intelligent controllers also improves the level of intelligent management and reduces management costs.

[0155] In one embodiment of the present invention, the first real-time data acquisition module includes:

[0156] A first initialization module, used to initialize the sensors included in the first sensor group, wherein the first sensor group includes a first infrared sensor and a first light intensity sensor;

[0157] A number information acquisition module, used to collect data information of people in the area in real time through the first infrared sensor, and obtain the number of people in the area in a unit time period; wherein the value range of the unit time period is 3min-10min;

[0158] The light intensity information acquisition module is used to acquire the light intensity information per unit time through the first light intensity sensor.

[0159] The working principle of the above technical solution is as follows: First, the sensors in the first sensor group are initialized. The first sensor group includes a first infrared sensor and a first light intensity sensor. The initialization process involves calibrating the sensor, setting working parameters, etc., to ensure that the sensor can work accurately and stably. The first infrared sensor is used to collect personnel data information in various areas of the underground garage in real time. The infrared sensor identifies people by detecting infrared radiation emitted by the human body, thereby obtaining information on the number of people in the area within a unit time period (such as 3 minutes to 10 minutes). This non-contact detection method can quickly and accurately reflect the flow of people. At the same time, the light intensity information per unit time is obtained through the first light intensity sensor. The light intensity sensor can measure the light intensity in the environment in real time and convert it into readable data. These data reflect the actual lighting conditions in various areas of the garage, providing an important basis for subsequent lighting adjustment.

[0160] The effect of the above technical solution is: by collecting personnel data information and light intensity information in real time, the system can quickly respond to environmental changes in the garage, adjust the lighting status in time, and ensure that the lighting effect matches the actual needs. Infrared sensors and light intensity sensors have high precision and stability, and can accurately measure the number of people and light intensity, providing reliable data support for lighting adjustment. Based on the data collected in real time, the system can accurately control the brightness and switch status of lighting fixtures, avoid unnecessary energy waste, and achieve energy-saving effects. By adjusting the lighting status, the system can improve the visual environment in the garage and improve the comfort and sense of security of personnel. Through automated data collection and processing, the system realizes intelligent management of the underground garage lighting system, reduces the need for manual intervention, and improves management efficiency.

[0161] In summary, this technical solution provides important data support for lighting adjustment by collecting personnel data information and light intensity information in each area of ​​the underground garage in real time, achieving the goals of energy saving, comfort and intelligent management.

[0162] In one embodiment of the present invention, the lighting adjustment module includes:

[0163] An information sending module, used for sending the personnel data information and light intensity information in each unit to the intelligent controller;

[0164] The first lighting adjustment module is used to automatically adjust the basic lighting intensity in each area according to the personnel data information and the lighting intensity information in each unit time through the intelligent controller; wherein the basic lighting intensity in each area is obtained by the following formula:

[0165]

[0166]

[0167]

[0168] Wherein, E represents the basic lighting intensity; S represents the area corresponding to the area; Ψ represents the total luminous flux of all lamps corresponding to the area; λ represents the utilization coefficient, and the value range of λ is 0.38-0.56; m represents the maintenance coefficient (obtained or calculated by consulting the lighting design software or manual); A represents the gain factor; N represents the number of people who have appeared in the area within the current unit time, and N is rounded up; I c represents the light intensity corresponding to the starting moment of the current unit time in the garage; I0 represents the minimum allowable light intensity in the garage; e represents the adjustment coefficient; n represents the total number of unit times of light adjustment that the area has experienced; N i represents the total number of people appearing in the area in the i-th unit time; k 01 and k 02 I represent the preset passenger flow weight coefficient and light weight change coefficient respectively; ci It indicates the maximum light intensity of the area in the i-th unit time.

[0169] The working principle of the above technical solution is as follows: First, the personnel data information and light intensity information in each unit time will be sent to the intelligent controller. This information is collected and processed in real time by the first sensor group, and it reflects the actual personnel flow and light conditions in each area of ​​the underground garage. After receiving this data, the intelligent controller will automatically adjust the basic lighting intensity in each area according to the preset algorithm and formula. This adjustment process is completed based on the personnel data information and light intensity information in each unit time, ensuring the real-time and accuracy of lighting adjustment.

[0170] During the adjustment process, the intelligent controller uses a specific formula to calculate the basic lighting intensity of each area. This formula takes into account a variety of factors, including the area of ​​the area, the total luminous flux of the lamps, the utilization factor, the maintenance factor, the gain factor, the current number of people, the light intensity at the start time, the minimum allowable light intensity, etc. These factors together determine the basic lighting intensity required for each area. The preset traffic weight coefficient and light weight change coefficient in the formula are used to adjust the weight of personnel data information and light intensity information in lighting adjustment. By setting these coefficients reasonably, accurate adjustment of lighting needs under different environmental conditions can be achieved.

[0171] The effect of the above technical solution is: the lighting of each area of ​​the underground garage is automatically adjusted by the intelligent controller, realizing the intelligent management of the lighting system. This not only reduces the need for manual intervention and improves management efficiency, but also ensures that the lighting effect is always kept in the best state. Lighting adjustment based on real-time personnel data information and light intensity information can avoid unnecessary energy waste. When there are few people or sufficient light, the system will automatically reduce the lighting intensity or turn off some lamps to achieve energy saving. At the same time, when there are dense people or insufficient light, the system will automatically increase the lighting intensity to ensure driving and personnel safety. Through precise lighting adjustment, the system can ensure that the lighting environment in the underground garage is always maintained at a comfortable and safe level. This can not only improve the user experience of car owners and pedestrians, but also help reduce the risk of accidents caused by insufficient or excessive light. The technical solution has high flexibility and adaptability. By adjusting the preset weight coefficient and change coefficient, the system can adapt to the lighting needs at different times, different areas and different usage scenarios. At the same time, with the development of technology and changes in demand, the system can also meet more functional requirements through upgrading and expansion.

[0172] On the other hand, by introducing the area (S) and the total luminous flux (Ψ) of the lamps, the basic lighting intensity (E) can be accurately calculated to ensure that each area obtains the appropriate light level. The consideration of the utilization coefficient (λ) and the maintenance coefficient (m) makes the calculation more in line with the actual situation and reduces the error of the light calculation. By considering the gain factor (A) and the number of people who have appeared in the area per unit time (N), the light intensity can be dynamically adjusted to better meet the lighting needs of personnel activities. The setting of the minimum allowable light intensity (I0) ensures that the light level in the garage will not be lower than a safe and comfortable threshold under any circumstances. At the same time, by considering the total number of people (N) appearing in the area per unit time i ) and the maximum light intensity (I ci ) real-time monitoring, the system can quickly respond to changes in the number of people and lighting conditions in the garage. The introduction of the adjustment coefficient (e) and the total number of unit time of lighting adjustment that has been experienced (n) enables the system to make more refined adjustments based on historical data and current conditions, thereby improving the sensitivity of the adjustment. 01 ) and the illumination weight change coefficient (k 02 ) settings allow the system to prioritize crowd flow and lighting changes according to different weights, further improving the sensitivity and adaptability of the adjustment.

[0173] In summary, the application of these physical quantities enables the automatic light intensity adjustment system to calculate the light intensity more accurately and respond more sensitively to changes in the environment and people in the garage, thereby providing a more comfortable, safe and energy-saving lighting environment.

[0174] In one embodiment of the present invention, the second real-time data acquisition module includes:

[0175] A second initialization module, used to initialize the sensors included in the second sensor group, wherein the second sensor group includes a laser sensor, a second infrared sensor, and a second light intensity sensor;

[0176] A first data information acquisition module, used to collect, in real time, the entry speed of vehicles entering the area and the driving speed of vehicles in the area through the laser sensor as first data information;

[0177] A second data information acquisition module, used for collecting the vehicle flow in the area per unit time through the second infrared sensor as the second data information;

[0178] A third data information acquisition module, configured to use the second light intensity sensor to collect the light intensity of each vehicle entering the area in real time as third data information;

[0179] A data information sending module, used for sending the first data information, the second data information and the third data information to the intelligent controller;

[0180] The lighting intensity compensation amount acquisition module is used for the intelligent controller to acquire the lighting intensity compensation amount corresponding to each unit time through the first data information, the second data information and the third data information; wherein the lighting intensity compensation amount is acquired by the following formula:

[0181]

[0182]

[0183] Where ΔE represents the compensation amount of lighting intensity; R i represents the vehicle coefficient corresponding to the i-th unit time; r represents the total number of vehicles entering the area within the i-th unit time; V j represents the speed of the jth vehicle entering the area; V0 represents the preset entry speed reference value; T j I represents the duration of time the lights of the jth vehicle entering the area are turned on; qj represents the illumination intensity corresponding to the headlights of the jth vehicle entering the area; T d Indicates the length of time corresponding to a unit of time; I ci Indicates the maximum light intensity in the area during the i-th unit time;

[0184] The lighting intensity acquisition module is used to obtain the lighting intensity corresponding to each unit time by using the lighting intensity compensation amount combined with the basic lighting intensity corresponding to each unit time; wherein the lighting intensity is obtained by the following formula:

[0185] E m =E-ΔE

[0186] Among them, E m Indicates the illumination intensity corresponding to each unit time; E indicates the basic illumination intensity;

[0187] The second lighting adjustment module is used to adjust the lighting intensity of each area per unit time according to the lighting intensity.

[0188] The working principle of the above technical solution is as follows: First, the sensors in the second sensor group are initialized. These sensors include a laser sensor, a second infrared sensor, and a second light intensity sensor. Initialization ensures that the sensors can work normally and are ready to start data collection. The laser sensor collects the entry speed of vehicles entering the area and the driving speed in the area in real time. These data reflect the dynamic behavior of the vehicle. The second infrared sensor is used to collect the traffic volume in the area per unit time, that is, the number of vehicles passing through. The second light intensity sensor collects the headlight illumination intensity of each vehicle entering the area in real time. The above technical solution helps to understand the specific impact of the vehicle on the lighting environment. The collected data such as vehicle entry speed, driving speed, vehicle flow and headlight illumination intensity are sent to the intelligent controller. These data provide an important basis for subsequent lighting adjustment.

[0189] Based on the received vehicle data, the intelligent controller combines the preset algorithms and formulas to calculate the lighting intensity compensation corresponding to each unit time. This compensation takes into account multiple factors such as vehicle coefficient, vehicle speed, headlight on time and headlight intensity, and aims to adjust the lighting intensity according to the real-time vehicle conditions. Using the calculated lighting intensity compensation and basic lighting intensity, the intelligent controller further calculates the lighting intensity corresponding to each unit time. Then, based on this calculation result, the intelligent controller automatically adjusts the lighting intensity of each area per unit time to ensure that the lighting environment meets driving needs without excessive power consumption.

[0190] The effect of the above technical solution is: by collecting vehicle data in real time and calculating the compensation amount of lighting intensity, the technical solution can realize the precise adjustment of the lighting intensity of each area of ​​the underground garage. The above technical solution helps to ensure that the lighting system can respond quickly and provide sufficient brightness to improve driving safety when vehicles frequently enter and exit or travel at a high speed. When there are few vehicles or the driving speed is slow, the system can automatically reduce the lighting intensity to avoid unnecessary energy waste. This dynamic adjustment method not only helps to reduce energy consumption, but also prolongs the service life of lamps. The lighting system is automatically adjusted by the intelligent controller, realizing the intelligent management of the lighting system. This reduces the need for manual intervention, improves management efficiency, and also helps to improve the user experience of car owners and pedestrians. The technical solution has strong adaptability and can be flexibly adjusted according to the lighting needs at different times, different areas and different vehicle conditions. The above technical solution helps to ensure that the underground garage is always kept in the best lighting state to meet the needs of various usage scenarios.

[0191] On the other hand, by collecting data information such as vehicle flow, vehicle speed, pedestrian flow and light intensity in real time and sending it to the intelligent controller for processing immediately, the lighting system can be adjusted instantly. This improvement in real time ensures that the lighting system can respond quickly to environmental changes in the garage, thereby improving the sensitivity of adjustment. This technical solution can flexibly adjust the lighting needs according to different times, different areas and different vehicle conditions. For example, in areas where vehicles frequently enter and exit or travel at a high speed, the system will automatically increase the lighting intensity; while in areas where vehicles are sparse or travel at a slow speed, the lighting intensity will be appropriately reduced. This dynamic adaptability helps ensure that the lighting system always maintains the best working condition and improves the sensitivity of adjustment.

[0192] At the same time, the sensors and intelligent controllers in the above technical solution of this embodiment can collect, analyze and respond to data changes in a very short time. When the lighting conditions in the garage change, the system can make adjustments quickly to ensure that the lighting intensity is compensated in time. This fast response speed helps to avoid insufficient or excessive lighting, and improves the comfort and safety of the environment in the garage. In addition, by adopting advanced algorithms and formulas, the technical solution can accurately calculate the lighting intensity compensation amount corresponding to each unit time. The above technical solution enables the system to perform refined lighting adjustment according to different areas, different times, and different vehicles and traffic conditions. The improvement of adjustment accuracy helps to reduce energy waste and ensure that the garage always maintains a suitable light level. The sensors and intelligent controllers in the above technical solution have high stability and can maintain stable performance during long-term operation. In addition, the system also has self-diagnosis and fault handling capabilities, and can promptly alarm and repair when abnormal conditions occur, ensuring the continuity and reliability of light intensity adjustment. The technical solution can adapt to the garage environment under different lighting conditions. Whether the light is too strong or too weak, the system can achieve effective compensation of light intensity by adjusting the lighting intensity compensation amount. This strong adaptability enables the technical solution to be widely used in various types of underground garages.

[0193] In summary, the above technical solution has shown technical effects in terms of performance indicators such as fast response speed, high adjustment accuracy, good stability and strong adaptability in terms of compensation for light intensity adjustment. These technical effects jointly improve the comfort and safety of the lighting environment in the garage, while also reducing energy consumption and maintenance costs.

[0194] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if the above-mentioned modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include the above-mentioned modifications and variations.

Claims

1. Automatic induction energy-saving lighting control method for underground garage, characterized in that: The automatic induction energy-saving lighting control method for the underground garage comprises: Arrange a first sensor group and a second sensor group in each area of ​​the underground garage; The first sensor group in each area collects data information about the flow of people and light intensity in the underground garage in real time; Sending the data information of the human flow and light intensity to the intelligent controller, and performing a first lighting adjustment through the intelligent controller; The second sensor group in each area collects data information of vehicle flow and vehicle speed in the underground garage in real time; sends the data information of vehicle flow and vehicle speed to the intelligent controller, and the intelligent controller performs second lighting adjustment based on the current data information of vehicle flow and vehicle speed; The data information of the human flow and light intensity is sent to the intelligent controller, and the first lighting adjustment is performed by the intelligent controller, including: Sending personnel data information and light intensity information in each unit to the intelligent controller; The basic lighting intensity in each area is automatically adjusted by the intelligent controller according to the personnel data information and the lighting intensity information in each unit time; wherein the basic lighting intensity in each area is obtained by the following formula: Where E represents the basic lighting intensity; S represents the area corresponding to the region; Ψ represents the total luminous flux of all lamps corresponding to the region; λ represents the utilization coefficient, and the value range of λ is 0.38-0.56; m represents the maintenance coefficient; A represents the gain factor; N represents the number of people who have appeared in the region within the current unit time, and N is rounded up; I c represents the light intensity corresponding to the starting moment of the current unit time in the garage; I0 represents the minimum allowable light intensity in the garage; e represents the adjustment coefficient; n represents the total number of unit times of light adjustment that the area has experienced; N i represents the total number of people appearing in the area in the i-th unit time; k 01 and k 02 I represent the preset passenger flow weight coefficient and light weight change coefficient respectively; ci Indicates the maximum light intensity in the area during the i-th unit time; The second sensor group in each area collects data information of the traffic flow and vehicle speed of the underground garage in real time; sends the data information of the traffic flow and vehicle speed to the intelligent controller, and performs the second lighting adjustment by combining the current data information of the traffic flow and vehicle speed through the intelligent controller, including: Initializing sensors included in the second sensor group, wherein the second sensor group includes a laser sensor, a second infrared sensor, and a second light intensity sensor; The laser sensor collects in real time the entry speed of the vehicle into the area and the driving speed of the vehicle in the area as first data information; collecting the vehicle flow in the area within a unit time by means of the second infrared sensor as second data information; Using the second light intensity sensor to collect the light intensity of each vehicle entering the area in real time as third data information; Sending the first data information, the second data information and the third data information to the intelligent controller; The intelligent controller obtains the lighting intensity compensation amount corresponding to each unit time through the first data information, the second data information and the third data information; wherein the lighting intensity compensation amount is obtained by the following formula: Where ΔE represents the compensation amount of lighting intensity; R i represents the vehicle coefficient corresponding to the i-th unit time; r represents the total number of vehicles entering the area within the i-th unit time; V j represents the speed of the jth vehicle entering the area; V0 represents the preset entry speed reference value; T j I represents the duration of time the lights of the jth vehicle entering the area are turned on; qj represents the illumination intensity corresponding to the headlights of the jth vehicle entering the area; T d Indicates the length of time corresponding to a unit of time; I ci Indicates the maximum light intensity in the area during the i-th unit time; The illumination intensity corresponding to each unit time is obtained by using the illumination intensity compensation amount combined with the basic illumination intensity corresponding to each unit time; wherein the illumination intensity is obtained by the following formula: E m =E-ΔE Among them, E m Indicates the illumination intensity corresponding to each unit time; E indicates the basic illumination intensity; The illumination intensity per unit time of each area is adjusted according to the illumination intensity.

2. According to claim 1, the automatic induction energy-saving lighting control method for underground garage is characterized in that: Arranging a first sensor group and a second sensor group in each area of ​​the underground garage includes: Retrieving a digital structural diagram corresponding to the underground garage; According to the digital structure diagram of the underground garage, the underground garage is divided into regions according to the preset regional area constraint conditions to obtain multiple regions corresponding to the underground garage; wherein the preset regional area constraint conditions are as follows: Among them, S represents the area corresponding to the region; S r Indicates the preset unit area, and the unit area value range is 20S d -50S d ; S d Indicates the illumination area of ​​a lamp; S t Indicates the area occupied by a parking space; L0 indicates the width of the area occupied by the parking space; L d Indicates the installation interval distance between every two lamps; Marking each area of ​​the underground garage, and sending each area and its corresponding mark to the intelligent controller for storage; A first sensor group and a second sensor group are arranged in respective areas of the underground garage.

3. According to claim 1, the automatic induction energy-saving lighting control method for underground garage is characterized in that: The first sensor group in each area collects data on the flow of people and light intensity in the underground garage in real time, including: Initializing sensors included in the first sensor group, wherein the first sensor group includes a first infrared sensor and a first light intensity sensor; The first infrared sensor is used to collect data information of people in the area in real time, and obtain information about the number of people in the area in a unit time period; wherein the value range of the unit time period is 3 minutes to 10 minutes; The light intensity information per unit time is acquired by the first light intensity sensor.

4. The automatic induction energy-saving lighting control system for underground garages is characterized by: The underground garage automatic induction energy-saving lighting control system comprises: A sensor arrangement module, used for arranging a first sensor group and a second sensor group in each area of ​​the underground garage; A first real-time data collection module is used to collect data information on the flow of people and light intensity in the underground garage in real time through a first sensor group in each area; A lighting adjustment module, used for sending the data information of the pedestrian flow and light intensity to the intelligent controller, and performing a first lighting adjustment through the intelligent controller; The second real-time data acquisition module is used to collect data information on vehicle flow and vehicle speed in the underground garage in real time through the second sensor group in each area; send the data information on vehicle flow and vehicle speed to the intelligent controller, and perform second lighting adjustment through the intelligent controller in combination with the current data information on vehicle flow and vehicle speed; Wherein, the lighting adjustment module comprises: An information sending module is used to send personnel data information and light intensity information in each unit to the intelligent controller; The first lighting adjustment module is used to automatically adjust the basic lighting intensity in each area according to the personnel data information and the lighting intensity information in each unit time through the intelligent controller; wherein the basic lighting intensity in each area is obtained by the following formula: Where E represents the basic lighting intensity; S represents the area corresponding to the region; Ψ represents the total luminous flux of all lamps corresponding to the region; λ represents the utilization coefficient, and the value range of λ is 0.38-0.56; m represents the maintenance coefficient; A represents the gain factor; N represents the number of people who have appeared in the region within the current unit time, and N is rounded up; I c represents the light intensity corresponding to the starting moment of the current unit time in the garage; I0 represents the minimum allowable light intensity in the garage; e represents the adjustment coefficient; n represents the total number of unit times of light adjustment that the area has experienced; N i represents the total number of people appearing in the area in the i-th unit time; k 01 and k 02 I represent the preset passenger flow weight coefficient and light weight change coefficient respectively; ci Indicates the maximum light intensity in the area during the i-th unit time; Wherein, the second real-time data acquisition module includes: A second initialization module, used to initialize the sensors included in the second sensor group, wherein the second sensor group includes a laser sensor, a second infrared sensor, and a second light intensity sensor; A first data information acquisition module, used to collect, in real time, the entry speed of vehicles entering the area and the driving speed of vehicles in the area through the laser sensor as first data information; A second data information acquisition module, used for collecting the vehicle flow in the area per unit time through the second infrared sensor as the second data information; A third data information acquisition module, configured to use the second light intensity sensor to collect the light intensity of each vehicle entering the area in real time as third data information; A data information sending module, used for sending the first data information, the second data information and the third data information to the intelligent controller; The lighting intensity compensation amount acquisition module is used for the intelligent controller to acquire the lighting intensity compensation amount corresponding to each unit time through the first data information, the second data information and the third data information; wherein the lighting intensity compensation amount is acquired by the following formula: Where ΔE represents the compensation amount of lighting intensity; R i represents the vehicle coefficient corresponding to the i-th unit time; r represents the total number of vehicles entering the area within the i-th unit time; V j represents the speed of the jth vehicle entering the area; V0 represents the preset entry speed reference value; T j I represents the duration of time the lights of the jth vehicle entering the area are turned on; qj represents the illumination intensity corresponding to the headlights of the jth vehicle entering the area; T d Indicates the length of time corresponding to a unit of time; I ci Indicates the maximum light intensity in the area during the i-th unit time; The lighting intensity acquisition module is used to obtain the lighting intensity corresponding to each unit time by using the lighting intensity compensation amount combined with the basic lighting intensity corresponding to each unit time; wherein the lighting intensity is obtained by the following formula: E m =E-ΔE Among them, E m Indicates the illumination intensity corresponding to each unit time; E indicates the basic illumination intensity; The second lighting adjustment module is used to adjust the lighting intensity of each area per unit time according to the lighting intensity.

5. According to claim 4, the automatic induction energy-saving lighting control system for underground garages is characterized in that: The sensor arrangement module comprises: A digital structure diagram retrieval module is used to retrieve the digital structure diagram corresponding to the underground garage; The area division module is used to divide the underground garage into areas according to the digital structure diagram of the underground garage according to the preset area constraint conditions, so as to obtain multiple areas corresponding to the underground garage; wherein the preset area constraint conditions are as follows: Among them, S represents the area corresponding to the region; S r Indicates the preset unit area, and the unit area value range is 20S d -50S d ; S d Indicates the illumination area of ​​a lamp; S t Indicates the area occupied by a parking space; L0 indicates the width of the area occupied by the parking space; L d Indicates the installation interval distance between every two lamps; A marking storage module is used to mark each area of ​​the underground garage and send each area and its corresponding mark to the intelligent controller for storage; The sensor arrangement setting module is used to arrange the first sensor group and the second sensor group in each area of ​​the underground garage.

6. According to claim 4, the automatic induction energy-saving lighting control system for underground garages is characterized in that: The first real-time data acquisition module includes: A first initialization module, used to initialize the sensors included in the first sensor group, wherein the first sensor group includes a first infrared sensor and a first light intensity sensor; A number information acquisition module, used to collect data information of people in the area in real time through the first infrared sensor, and obtain the number of people in the area in a unit time period; wherein the value range of the unit time period is 3min-10min; The light intensity information acquisition module is used to acquire the light intensity information per unit time through the first light intensity sensor.

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