Parking lot intelligent lighting control system

Abstract

The present invention discloses an intelligent lighting control system for a parking lot, which belongs to the field of intelligent lighting technology and includes: an acquisition and processing module for collecting real-time data of the parking lot environment and performing preprocessing; an automatic control module for intelligently controlling parking lot lighting, which enables local sensing and linkage between AI lamps through Bluetooth Mesh networking technology, so that the group can respond synchronously; a remote control module for adding an intelligent gateway to access the Internet to remotely control the parking lot. The present invention solves the existing problems of being unable to automatically adjust the brightness and lighting range of parking lot lighting according to factors such as ambient light and human activities, and being unable to remotely control the parking lot, resulting in low parking lot management efficiency and energy conservation and environmental protection levels. The present invention can automatically adjust the brightness and lighting range of parking lot lighting according to factors such as ambient light and human activities, achieve a two-way balance between energy conservation and user experience, and can remotely control the parking lot, which can improve management efficiency and energy conservation and environmental protection levels.

Description

Technical Field

[0001] The present invention relates to the field of intelligent lighting technology, and in particular to an intelligent lighting control system for a parking lot. Background Art

[0002] Due to the shortage of public parking spaces, parking on the road has become a common phenomenon, causing traffic congestion. Therefore, underground parking lots have become the most common place for parking vehicles. Among them, underground parking lots need to be equipped with necessary fire-fighting facilities, especially a lot of lighting equipment. Due to the dark environment of underground parking lots and the large area of ​​parking lots, the daily power consumption is very large, but some of them are ineffective lighting, resulting in serious energy waste.

[0003] Chinese patent application publication number CN116311708B discloses an intelligent parking space lighting device for parking lots. The device can determine whether a vehicle or person is parked in a parking space and intelligently selects and illuminates a light strip and signal light based on the situation. When the parking space deviates, the light strip on the corresponding side flashes to remind the driver to correct the parking position, avoid collisions, leave space, and avoid affecting adjacent vehicles. The light strip can be quickly installed and removed, effectively reducing the number of times maintenance personnel need to adjust ladders, saving time and effort and facilitating maintenance. However, the patent has the following drawbacks:

[0004] Existing technologies cannot automatically adjust the brightness and range of parking lot lighting according to factors such as ambient light and human activities, cannot achieve a two-way balance between energy saving and user experience, and cannot remotely control parking lots, resulting in low parking lot management efficiency and energy conservation and environmental protection levels. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent parking lot lighting control system that can automatically adjust the parking lot lighting brightness and lighting range according to factors such as ambient light and human activities, achieve a two-way balance between energy saving and user experience, and can remotely control the parking lot, thereby improving management efficiency and energy saving and environmental protection levels, and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Parking lot intelligent lighting control system, including:

[0008] The acquisition and processing module is used to collect and pre-process the real-time data of the parking environment, and to store the real-time data of the parking environment securely;

[0009] The automatic control module is used to analyze real-time parking environment data and intelligently control parking lot lighting. It also uses Bluetooth Mesh networking technology to enable local sensing and linkage between AI lamps, enabling synchronous response within the group.

[0010] The remote control module is used to integrate Internet of Things technology and add an intelligent gateway to access the Internet to remotely control the parking lot.

[0011] Preferably, real-time data of the parking lot environment is analyzed to intelligently control parking lot lighting, including:

[0012] According to the requirements of parking lot intelligent lighting control, an automatic parking lot intelligent lighting control program is pre-set. The real-time data of the parking lot environment is analyzed according to the pre-set automatic parking lot intelligent lighting control program, and the parking lot lighting conditions are intelligently and automatically controlled;

[0013] Among them, when there is no human activity in the parking lot, the parking lot lighting conditions are intelligently and automatically adjusted, and the intelligently controlled AI lamps are automatically dimmed or turned off;

[0014] Among them, when there are people moving in the parking lot, the parking lot lighting conditions are adjusted intelligently and automatically, and the intelligently controlled AI light tubes are automatically brightened.

[0015] Preferably, when the AI ​​light tubes are automatically dimmed by intelligent control, the AI ​​light tubes are locally inductively linked through Bluetooth Mesh networking technology, so that the AI ​​light tubes in the group synchronously respond to the activity trajectory and illuminate the navigation path synchronously;

[0016] Among them, after the AI ​​light tube is automatically brightened, it will synchronously wake up other AI light tubes within 3 meters around the AI ​​light tube, so that other AI light tubes within 3 meters around the AI ​​light tube will automatically brighten, thereby automatically adjusting the lighting range, so that the AI ​​light tube will be pre-lit before people and vehicles arrive, and the light will be gradually dimmed when people and vehicles leave. In addition, combined with parking guide lights and LED display screens, vacant parking space information is displayed in real time, and the driver is guided by lights to quickly find a vacant parking space.

[0017] Preferably, automatically adjusting the lighting range includes:

[0018] Obtaining a regional distribution map of the parking lot, and determining regional attributes of different areas in the parking lot based on the regional distribution map, wherein the different areas include parking spaces and vehicle driving lanes;

[0019] The parking lot is divided into N small areas based on regional attributes, and a dynamic monitoring mechanism is set up for each small area;

[0020] Based on the positional relationship of each small area, the dynamic monitoring mechanism is associated with multi-directional trigger conditions, and based on the multi-directional trigger condition association results, the parameters of the monitoring object are added to the dynamic monitoring mechanism to obtain the target dynamic monitoring mechanism;

[0021] At the same time, the central AI light tube in each small area is calibrated, and based on the calibration results, the AI ​​light tubes in each small area are divided into multiple directions and multiple spatial scales;

[0022] Based on the multi-spatial scale division results, the priority configuration of the step brightness parameters of the AI ​​lamps in different spatial sizes in each small area is performed in turn, and a dynamic adjustment mechanism for the brightness of the AI ​​lamps in different small areas is obtained;

[0023] Connect the dynamic target monitoring mechanism of each small area with the dynamic brightness adjustment mechanism of the AI ​​lamp tube, and monitor the real-time status of the parking lot based on the connection results;

[0024] When the activity of a monitored object is detected in the parking lot, the movement trajectory of the monitored object is tracked, and based on the tracking results, the docking results of the target dynamic monitoring mechanism and the AI ​​lamp tube brightness dynamic adjustment mechanism are synchronously activated;

[0025] Based on the synchronous start-up results, the AI ​​light tubes in each small area are lit in a stepped brightness according to the movement trajectory of the monitored object.

[0026] Preferably, the Internet of Things technology is integrated and an intelligent gateway is added to access the Internet to remotely control the parking lot, including:

[0027] Based on Internet of Things technology and connected to the Internet through an intelligent gateway, the equipment status, energy consumption data, fault alarms and equipment life in the parking lot are monitored and analyzed in real time, and the equipment status reporting information, energy consumption data statistics, fault alarm notification information and equipment life management information are determined. The equipment status reporting information, energy consumption data statistics, fault alarm notification information and equipment life management information are sent to the cloud to realize remote monitoring and management of the parking lot.

[0028] Preferably, the cloud communicates with a mobile phone APP or Web management platform or an open system API interface via a wireless network, and the administrator can view the parking lot lighting status in real time through the mobile phone APP or Web management platform or an open system API interface, and remotely adjust the parking lot lighting parameters.

[0029] Preferably, real-time data of the parking environment is collected, including:

[0030] Based on the light sensors installed in the parking lot, the light intensity in the parking lot is monitored in real time to obtain the parking lot ambient light data;

[0031] Based on the microwave radar sensors installed in the parking lot, the activities of people in the parking lot are monitored in real time to obtain the activity data of people in the parking lot;

[0032] Determine the real-time data of the parking lot environment based on the parking lot ambient light data and parking lot personnel activity data.

[0033] Preferably, preprocessing the real-time parking environment data includes:

[0034] Clean the real-time data of the parking lot environment to remove the noise in the real-time data of the parking lot environment and reduce the interference of the noise in the real-time data of the parking lot environment on the intelligent lighting control of the parking lot;

[0035] Check the real-time data of the parking environment, identify missing values ​​and abnormal values ​​in the real-time data of the parking environment, and process the missing values ​​and abnormal values ​​in the real-time data of the parking environment;

[0036] Among them, the missing values ​​and outliers in the real-time data of the parking lot environment are evaluated to determine whether the missing values ​​and outliers in the real-time data of the parking lot environment are useful for the intelligent lighting control of the parking lot;

[0037] If missing values ​​and outliers in the real-time parking environment data are useful for parking lot intelligent lighting control, the missing values ​​are filled and the outliers are corrected;

[0038] If the missing values ​​and outliers in the real-time data of the parking lot environment are useless for the intelligent lighting control of the parking lot, the missing values ​​and outliers are removed.

[0039] Preferably, preprocessing the real-time parking environment data further includes:

[0040] Normalize the real-time parking environment data to convert it into a unified data format, remove the dimensional differences in the real-time parking environment data, and determine standardized real-time parking environment data;

[0041] Integrate the real-time parking environment data from different sources into a unified data view, and verify the data integrity of the integrated real-time parking environment data. After the verification is qualified, the integrated real-time parking environment data is securely stored.

[0042] Preferably, the remote control module performs remote control of the parking lot, including:

[0043] Remotely collect historical lighting control events within a preset time period and read the lighting parameters and driving parameters corresponding to the historical lighting control events;

[0044] Evenly divide the preset time period according to the preset time interval to obtain multiple time nodes;

[0045] Associating and mapping the lighting parameters and the driving parameters with a plurality of time nodes, respectively, and determining a first variation feature of the lighting parameters over the time nodes based on the association mapping results, and simultaneously determining a second variation feature of the driving parameters over the time nodes;

[0046] Determining a third change characteristic of the lighting parameter and the driving parameter within a preset time period based on the first change characteristic and the second change characteristic;

[0047] Obtaining a baseline change feature between the lighting parameter and the driving parameter, matching the third change feature with the baseline change feature, and determining a target matching degree between the third change feature and the baseline change feature;

[0048] Collect the satisfaction of all users with lighting control in the parking lot within a preset time period, calculate the average satisfaction, and obtain the target satisfaction;

[0049] Evaluate the current intelligent parking control solution based on target matching and target satisfaction to obtain a target score;

[0050] Compare the target score with the preset qualification threshold to determine whether to generate an alarm instruction;

[0051] When the target score is equal to or greater than the preset qualification threshold, it is determined that no alarm instruction is generated;

[0052] When the target score is less than the preset qualified threshold, an alarm instruction is generated, and an evaluation warning report is generated according to the alarm instruction. At the same time, the administrator terminal is obtained;

[0053] The assessment warning reports are sent to the administrator terminals respectively.

[0054] Preferably, the device status reporting information of the parking lot is accessed based on the Internet of Things technology, and the device status reporting information is analyzed to evaluate the remaining life of the parking lot lighting equipment, specifically including:

[0055] Read device status reporting information and determine the operating parameters of the lighting equipment; evaluate the remaining life of the parking lot lighting equipment based on the operating parameters; and construct an alarm function based on the remaining life of the parking lot lighting equipment.

[0056] According to the alarm function and based on the remaining life of the parking lot lighting equipment, the first alarm operation, the second alarm operation or the false alarm operation is executed; according to the execution result, fault alarm notification information is generated, and the fault alarm notification information is transmitted to the monitoring terminal.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The present invention uses light sensors and microwave radar sensors installed in the parking lot to monitor the light intensity and human activity in the parking lot in real time, obtain parking lot ambient light data and parking lot human activity data, thereby determining the real-time parking lot environmental data, and pre-processing the real-time parking lot environmental data. The real-time parking lot environmental data is analyzed according to a pre-set automatic parking lot intelligent lighting control program, and the parking lot lighting conditions are intelligently and automatically controlled. When there is no human activity in the parking lot, the intelligently controlled AI light tubes are automatically dimmed or turned off; when there is human activity in the parking lot, the intelligently controlled AI light tubes are automatically brightened. Bluetooth Mesh networking technology is used to enable local sensing and linkage between the AI ​​light tubes, so that the AI ​​light tubes in the group respond synchronously to activity trajectories and illuminate the navigation path synchronously. The parking lot lighting brightness and lighting range can be automatically adjusted according to factors such as ambient light and human activity, achieving a two-way balance between energy saving and user experience. In addition, the system is integrated with the Internet of Things technology to add an intelligent gateway to access the Internet, thereby remotely controlling the parking lot, which can improve management efficiency and energy saving and environmental protection levels.

[0059] 2. By determining the regional attributes of different areas in the parking lot and dividing the parking lot according to the regional attributes, a dynamic monitoring mechanism is set up for each small area after division, which provides convenience and guarantee for the monitoring of the monitoring object. Secondly, the dynamic monitoring mechanisms of different small areas are associated and the monitoring objects are added to realize accurate and effective determination of the target dynamic monitoring mechanism. At the same time, the AI ​​light tubes in each small area are divided into multiple directions and multiple spatial scales, and then the AI ​​light tubes are configured with stepped brightness parameters according to the multi-directional and multi-spatial scale division results, so as to facilitate the configuration of different brightness for different AI light tubes. Finally, the target dynamic monitoring mechanism and the AI ​​light tube brightness dynamic adjustment mechanism are realized to light up the AI ​​light tubes in each small area in turn according to the movement trajectory of the monitored object, thereby improving the intelligence and accuracy of the intelligent lighting control in the parking lot, saving energy while meeting the lighting needs.

[0060] 3. By analyzing historical lighting control events within a preset time period, the lighting parameters and driving parameters are effectively determined, thereby analyzing the lighting parameters and driving parameters to determine the first change characteristics of the lighting parameters at the time nodes and the second change characteristics of the driving parameters at the time nodes, and then determining the third change characteristics of the lighting parameters and driving parameters within the preset time period based on the first change characteristics and the second change characteristics. Secondly, the third change characteristics are matched with the benchmark change characteristics to lock the target matching degree. At the same time, the satisfaction of all users with the lighting control in the parking lot is analyzed to determine the target satisfaction. Finally, a comprehensive analysis of the target matching degree and the target satisfaction is performed to evaluate the current intelligent parking lot control solution. Finally, based on the evaluation results, it is determined whether the current intelligent parking lot control solution needs to be alarmed. Based on the judgment results, the operation status of the current intelligent parking lot control solution is effectively understood, so that timely adjustments can be made when the requirements are not met, thereby ensuring the effectiveness of the parking lot lighting control.

[0061] 4. By reading the device status report information and determining the operating parameters of the lighting equipment, the remaining life of the parking lot lighting equipment can be effectively evaluated based on the operating parameters. Then, based on the remaining life of the parking lot lighting equipment, the alarm function can be accurately constructed to ensure the accuracy and effectiveness of the first alarm operation or the second alarm operation, effectively ensuring timely understanding and prediction of the operating status of the parking lot lighting equipment, thereby achieving accurate planning of maintenance and replacement cycles, reducing the risk of failure, and ensuring the intelligence and effectiveness of parking lot lighting. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 This is a module diagram of the parking lot intelligent lighting control system of the present invention;

[0063] Figure 2 This is a flow chart of the parking lot intelligent lighting control system of the present invention. DETAILED DESCRIPTION

[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0065] In order to solve the existing problems of not being able to automatically adjust the parking lot lighting brightness and lighting range according to factors such as ambient light and personnel activities, not being able to achieve a two-way balance between energy saving and user experience, and not being able to remotely control the parking lot, resulting in low parking lot management efficiency and energy saving and environmental protection levels, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0066] The parking lot intelligent lighting control system includes: acquisition and processing module, automatic control module and remote control module.

[0067] It should be noted that the real-time data of the parking lot environment is collected and pre-processed through the collection and processing module, and the real-time data of the parking lot environment is securely stored; the real-time data of the parking lot environment is analyzed through the automatic control module, and the parking lot lighting is intelligently controlled, and the Bluetooth Mesh networking technology is used to enable local sensing and linkage between AI lamps, so that the group responds synchronously; the remote control module integrates the Internet of Things technology and adds an intelligent gateway to access the Internet to remotely control the parking lot, which can automatically adjust the parking lot lighting brightness and lighting range according to factors such as ambient light and personnel activities, and can achieve a two-way balance between energy saving and user experience. It is integrated with the Internet of Things technology and adds an intelligent gateway to access the Internet, so as to remotely control the parking lot, which can improve management efficiency and energy saving and environmental protection levels.

[0068] In this embodiment, real-time parking environment data is collected, including:

[0069] Based on the light sensors installed in the parking lot, the light intensity in the parking lot is monitored in real time to obtain the parking lot ambient light data;

[0070] Based on the microwave radar sensors installed in the parking lot, the activities of people in the parking lot are monitored in real time to obtain the activity data of people in the parking lot;

[0071] Determine the real-time data of the parking lot environment based on the parking lot ambient light data and parking lot personnel activity data.

[0072] It should be noted that the light sensors and microwave radar sensors installed in the parking lot are used to monitor the light intensity and personnel activities in the parking lot in real time, obtain the parking lot ambient light data and parking lot personnel activity data, and thus determine the real-time data of the parking lot environment. This can provide a data basis for the subsequent automatic adjustment of the parking lot lighting brightness and lighting range according to factors such as ambient light and personnel activities.

[0073] In this embodiment, the real-time parking environment data is pre-processed, including:

[0074] Clean the real-time data of the parking lot environment to remove the noise in the real-time data of the parking lot environment and reduce the interference of the noise in the real-time data of the parking lot environment on the intelligent lighting control of the parking lot;

[0075] Check the real-time data of the parking environment, identify missing values ​​and abnormal values ​​in the real-time data of the parking environment, and process the missing values ​​and abnormal values ​​in the real-time data of the parking environment;

[0076] Among them, the missing values ​​and outliers in the real-time data of the parking lot environment are evaluated to determine whether the missing values ​​and outliers in the real-time data of the parking lot environment are useful for the intelligent lighting control of the parking lot;

[0077] If missing values ​​and outliers in the real-time parking environment data are useful for parking lot intelligent lighting control, the missing values ​​are filled and the outliers are corrected;

[0078] If the missing values ​​and outliers in the real-time data of the parking lot environment are useless for the intelligent lighting control of the parking lot, the missing values ​​and outliers are removed.

[0079] It should be noted that the data quality of the real-time parking environment data can be improved by cleaning the real-time parking environment data, removing noise in the real-time parking environment data, and processing missing values ​​and outliers in the real-time parking environment data.

[0080] In this embodiment, preprocessing the real-time parking environment data also includes:

[0081] Normalize the real-time parking environment data to convert it into a unified data format, remove the dimensional differences in the real-time parking environment data, and determine standardized real-time parking environment data;

[0082] Integrate the real-time parking environment data from different sources into a unified data view, and verify the data integrity of the integrated real-time parking environment data. After the verification is qualified, the integrated real-time parking environment data is securely stored.

[0083] It should be noted that by normalizing and integrating the real-time parking environment data, the integrated real-time parking environment data can be securely stored, making it easier to view the real-time parking environment data in real time and to better analyze the real-time parking environment data.

[0084] In this embodiment, real-time parking environment data is analyzed to intelligently control parking lot lighting, including:

[0085] According to the requirements of parking lot intelligent lighting control, an automatic parking lot intelligent lighting control program is pre-set. The real-time data of the parking lot environment is analyzed according to the pre-set automatic parking lot intelligent lighting control program, and the parking lot lighting conditions are intelligently and automatically controlled;

[0086] Among them, when there is no human activity in the parking lot, the parking lot lighting conditions are intelligently and automatically adjusted, and the intelligently controlled AI lamps are automatically dimmed or turned off;

[0087] Among them, when there are people moving in the parking lot, the parking lot lighting conditions are adjusted intelligently and automatically, and the intelligently controlled AI light tubes are automatically brightened.

[0088] Specifically, the parking lot lighting conditions are intelligently and automatically controlled, wherein the intelligent control of the parking lot lighting is shown in Table 1:

[0089] Table 1: Intelligent control of parking lot lighting

[0090] ;

[0091] Therefore, the real-time data of the parking lot environment is analyzed according to the pre-set automatic operation of the parking lot intelligent lighting control program, and the parking lot lighting conditions are intelligently and automatically controlled. When there is no human activity in the parking lot, the intelligently controlled AI lamps are automatically dimmed or turned off; when there are human activities in the parking lot, the intelligently controlled AI lamps are automatically brightened. The parking lot lighting brightness and lighting range can be automatically adjusted according to factors such as ambient light and human activities, achieving a two-way balance between energy saving and user experience.

[0092] In this embodiment, when the AI ​​light tubes are automatically dimmed, Bluetooth Mesh networking technology is used to enable local sensing and linkage between the AI ​​light tubes, so that the AI ​​light tubes in the group respond to the activity track synchronously and illuminate the navigation path synchronously;

[0093] Among them, after the AI ​​light tube is automatically brightened, it will synchronously wake up other AI light tubes within 3 meters around the AI ​​light tube, so that other AI light tubes within 3 meters around the AI ​​light tube will automatically brighten, thereby automatically adjusting the lighting range, so that the AI ​​light tube will be pre-lit before people and vehicles arrive, and the light will be gradually dimmed when people and vehicles leave. In addition, combined with parking guide lights and LED display screens, vacant parking space information is displayed in real time, and the driver is guided by lights to quickly find a vacant parking space.

[0094] It should be noted that when the intelligently controlled AI light tubes are automatically brightened, the Bluetooth Mesh networking technology is used to enable local sensing and linkage between the AI ​​light tubes, so that the AI ​​light tubes in the group respond synchronously to the activity trajectory and illuminate the navigation path synchronously, so that the AI ​​light tubes are pre-lit before people and vehicles arrive, and the lights are gradually dimmed when people and vehicles leave, achieving a two-way balance between energy saving and user experience.

[0095] In this embodiment, the Internet of Things technology is integrated and an intelligent gateway is added to access the Internet to remotely control the parking lot, including:

[0096] Based on Internet of Things technology and connected to the Internet through an intelligent gateway, the equipment status, energy consumption data, fault alarms and equipment life in the parking lot are monitored and analyzed in real time, and the equipment status reporting information, energy consumption data statistics, fault alarm notification information and equipment life management information are determined. The equipment status reporting information, energy consumption data statistics, fault alarm notification information and equipment life management information are sent to the cloud to realize remote monitoring and management of the parking lot.

[0097] In this embodiment, the cloud communicates with a mobile phone APP or Web management platform or an open system API interface via a wireless network, and the administrator can view the parking lot lighting status in real time through the mobile phone APP or Web management platform or an open system API interface, and remotely adjust the parking lot lighting parameters.

[0098] It should be noted that by integrating with Internet of Things technology and adding smart gateways to the Internet, parking lots can be remotely controlled, which can improve management efficiency and energy conservation and environmental protection levels.

[0099] In one embodiment, a parking lot intelligent lighting control system is provided to automatically adjust the lighting range, including:

[0100] Obtaining a regional distribution map of the parking lot, and determining regional attributes of different areas in the parking lot based on the regional distribution map, wherein the different areas include parking spaces and vehicle driving lanes;

[0101] The parking lot is divided into N small areas based on regional attributes, and a dynamic monitoring mechanism is set up for each small area;

[0102] Based on the positional relationship of each small area, the dynamic monitoring mechanism is associated with multi-directional trigger conditions, and based on the multi-directional trigger condition association results, the parameters of the monitoring object are added to the dynamic monitoring mechanism to obtain the target dynamic monitoring mechanism;

[0103] At the same time, the central AI light tube in each small area is calibrated, and based on the calibration results, the AI ​​light tubes in each small area are divided into multiple directions and multiple spatial scales;

[0104] Based on the multi-spatial scale division results, the priority configuration of the step brightness parameters of the AI ​​lamps in different spatial sizes in each small area is performed in turn, and a dynamic adjustment mechanism for the brightness of the AI ​​lamps in different small areas is obtained;

[0105] Connect the dynamic target monitoring mechanism of each small area with the dynamic brightness adjustment mechanism of the AI ​​lamp tube, and monitor the real-time status of the parking lot based on the connection results;

[0106] When the activity of a monitored object is detected in the parking lot, the movement trajectory of the monitored object is tracked, and based on the tracking results, the docking results of the target dynamic monitoring mechanism and the AI ​​lamp tube brightness dynamic adjustment mechanism are synchronously activated;

[0107] Based on the synchronous start-up results, the AI ​​light tubes in each small area are lit in a stepped brightness according to the movement trajectory of the monitored object.

[0108] In this embodiment, the area distribution map refers to the spatial dimensions and structural distribution inside the parking lot.

[0109] In this embodiment, the area attribute refers to the business types corresponding to different areas, for example, it may be a parking space area and a passage area.

[0110] In this embodiment, the dynamic monitoring mechanism is set for each small area to monitor whether there are people or vehicles in each small area.

[0111] In this embodiment, the multi-directional trigger condition association refers to associating the dynamic monitoring mechanisms between different small areas, that is, when a person or a vehicle enters another small area from different directions in a small area, the entry of the person or vehicle can be effectively monitored.

[0112] In this embodiment, the monitoring object is the person or vehicle that needs to be monitored by the dynamic monitoring mechanism.

[0113] In this embodiment, the target dynamic monitoring mechanism refers to a final mechanism obtained by adding the monitoring object to the dynamic monitoring mechanism, that is, capable of directly performing monitoring.

[0114] In this embodiment, the central AI lamp refers to the AI ​​lamp located at the most central position in each small area.

[0115] In this embodiment, multi-directional multi-spatial scale division refers to dividing the AI ​​lamps in each small area by distance. For example, with the central AI lamp as the center, the lamps within a range of 3 meters are divided into three spatial scales, with each meter being a spatial scale. The purpose is to differentiate and control the brightness of the AI ​​lamps at different positions.

[0116] In this embodiment, the priority configuration of the step brightness parameter refers to configuring the brightness levels of different AI lamps in different small areas, for example, the brightness can be 100%, brightness 60%-80%, and brightness 30%-50%.

[0117] In this embodiment, the AI ​​lamp brightness dynamic adjustment mechanism refers to a mechanism for adjusting the brightness of the AI ​​lamps in different small areas.

[0118] In this embodiment, the step brightness lighting refers to lighting the AI ​​lamps in the corresponding small areas according to the monitored objects, and lighting the AI ​​lamps in the corresponding small areas with different brightness when lighting.

[0119] The working principle and beneficial effects of the above technical solution are: by determining the regional attributes of different areas in the parking lot, and dividing the parking lot into areas according to the regional attributes, the dynamic monitoring mechanism of each small area after the division is set up, which provides convenience and guarantee for the monitoring of the monitoring object. Secondly, the dynamic monitoring mechanisms of different small areas are associated and the monitoring objects are added to realize the accurate and effective determination of the target dynamic monitoring mechanism. At the same time, the AI ​​light tubes in each small area are divided into multiple directions and multiple spatial scales, and then the AI ​​light tubes are configured with stepped brightness parameters according to the multi-directional and multi-spatial scale division results, so as to facilitate the configuration of different brightness for different AI light tubes. Finally, the target dynamic monitoring mechanism and the AI ​​light tube brightness dynamic adjustment mechanism are realized to light up the AI ​​light tubes in each small area in turn according to the movement trajectory of the monitored object, thereby improving the intelligence and accuracy of the intelligent lighting control in the parking lot, saving energy while meeting the lighting needs.

[0120] In one embodiment, a parking lot intelligent lighting control system is provided, wherein the remote control module remotely controls the parking lot, including:

[0121] Remotely collect historical lighting control events within a preset time period and read the lighting parameters and driving parameters corresponding to the historical lighting control events;

[0122] Evenly divide the preset time period according to the preset time interval to obtain multiple time nodes;

[0123] Associating and mapping the lighting parameters and the driving parameters with a plurality of time nodes, respectively, and determining a first variation feature of the lighting parameters over the time nodes based on the association mapping results, and simultaneously determining a second variation feature of the driving parameters over the time nodes;

[0124] Determining a third change characteristic of the lighting parameter and the driving parameter within a preset time period based on the first change characteristic and the second change characteristic;

[0125] Obtaining a baseline change feature between the lighting parameter and the driving parameter, matching the third change feature with the baseline change feature, and determining a target matching degree between the third change feature and the baseline change feature;

[0126] Collect the satisfaction of all users with lighting control in the parking lot within a preset time period, calculate the average satisfaction, and obtain the target satisfaction;

[0127] Evaluate the current intelligent parking control solution based on target matching and target satisfaction to obtain a target score;

[0128] Compare the target score with the preset qualification threshold to determine whether to generate an alarm instruction;

[0129] When the target score is equal to or greater than the preset qualification threshold, it is determined that no alarm instruction is generated;

[0130] When the target score is less than the preset qualified threshold, an alarm instruction is generated, and an evaluation warning report is generated according to the alarm instruction. At the same time, the administrator terminal is obtained;

[0131] The assessment warning reports are sent to the administrator terminals respectively.

[0132] In this embodiment, the preset time period is set in advance, for example, it may be one month.

[0133] In this embodiment, the historical lighting control event refers to the lighting control performed in the parking lot within a preset time period.

[0134] In this embodiment, the lighting parameters refer to the brightness of the lamps and the specific conditions of turning the lamps on and off corresponding to the historical lighting control events.

[0135] In this embodiment, the driving parameter refers to the traffic conditions of vehicles in the parking lot within a preset time period.

[0136] In this embodiment, the preset time interval is set in advance, for example, it can be one hour or two hours.

[0137] In this embodiment, the time node refers to the result obtained by dividing the preset time period according to the preset time.

[0138] In this embodiment, the first change feature refers to the change of the lighting parameter with the time node. For example, when the time node is from 10 am to 10 pm during the day, the first change feature is the brightness change of the lighting parameter from 10 am to 10 pm.

[0139] In this embodiment, the second change feature refers to the change of the driving parameters with the time change node. For example, when the time node is from 10 am to 10 pm during the day, the second change feature is the change of the number of vehicles from 10 am to 10 pm.

[0140] In this embodiment, the third change characteristic refers to the relative change of the lighting parameters and the driving parameters within a preset time period. For example, the lighting brightness will be prolonged as the traffic volume increases.

[0141] In this embodiment, the reference change characteristic refers to the theoretical relative change relationship between the lighting parameter and the driving parameter.

[0142] In this embodiment, the target matching degree refers to the matching degree between the third change feature and the reference change feature, and a larger value indicates a closer match.

[0143] In this embodiment, the target satisfaction level refers to the result obtained by averaging the satisfaction levels of all users with lighting control in the parking lot.

[0144] In this embodiment, the target score refers to a parameter that represents the effectiveness of the current intelligent parking lot control solution.

[0145] In this embodiment, the preset qualified threshold is set in advance and serves as a reference for determining whether to generate an alarm instruction, and can be adjusted according to needs.

[0146] The working principle and beneficial effects of the above technical solution are as follows: by analyzing historical lighting control events within a preset time period, the lighting parameters and driving parameters are effectively determined, thereby analyzing the lighting parameters and driving parameters, determining the first change characteristics of the lighting parameters at the time nodes and the second change characteristics of the driving parameters at the time nodes, and then determining the third change characteristics of the lighting parameters and driving parameters within the preset time period based on the first change characteristics and the second change characteristics. Secondly, the third change characteristics are matched with the benchmark change characteristics to lock the target matching degree. At the same time, the satisfaction of all users with the lighting control in the parking lot is analyzed to determine the target satisfaction. Finally, the target matching degree and the target satisfaction are comprehensively analyzed to evaluate the current intelligent parking control solution. Finally, based on the evaluation results, it is determined whether the current intelligent parking control solution needs to be alarmed. Based on the judgment results, the operation status of the current intelligent parking control solution is effectively understood, so that when the requirements are not met, corresponding adjustments can be made in time to ensure the effect of parking lot lighting control.

[0147] In one embodiment, a parking lot intelligent lighting control system is provided. Based on the Internet of Things (IoT) technology, the system accesses and analyzes the status reports of parking lot equipment to assess the remaining life of parking lot lighting equipment. Specifically, the system includes:

[0148] Read the device status report information and determine the operating parameters of the lighting equipment;

[0149] Evaluate the remaining life of parking lot lighting equipment based on operating parameters;

[0150] ;

[0151] in, Indicates the remaining life of parking lot lighting equipment; Indicates the initial life of parking lot lamps; Indicates the activation energy of the lamp material, with a value range of (0.3, 0.7) eV; represents the Boltzmann constant, which is ; Indicates the reference temperature of parking lot lighting equipment, in K; Indicates the actual operating temperature of parking lot lighting equipment; represents a natural constant; Indicates the rated voltage of parking lot lighting equipment; Indicates the actual working voltage of parking lot lighting equipment; Indicates the voltage sensitivity index, the value range is (3, 5), Indicates the actual number of times parking lot lighting equipment is turned on and off; Indicates the maximum number of switching times that the parking lot lighting equipment can withstand; Indicates the number of hours the parking lot lighting equipment has been working; Indicates the initial life of parking lot lighting equipment;

[0152] Build an alarm function based on the remaining life of parking lot lighting equipment;

[0153] ;

[0154] in, Represents the alarm function; Indicates the first warning threshold; represents the second warning threshold, and ; Indicates the data value corresponding to the no-alarm operation; Indicates the data value corresponding to the first alarm operation; Indicates the data value corresponding to the second alarm operation; 、 、 It is a logical condition. When the condition is true, the value is 1 (triggering the corresponding operation), and when the condition is false, the value is 0 (ignoring the corresponding operation).

[0155] Performing a first alarm operation, a second alarm operation, or a false alarm operation according to the alarm function and based on the remaining life of the parking lot lighting device;

[0156] Generate fault alarm notification information based on the execution result and transmit the fault alarm notification information to the monitoring terminal.

[0157] In this embodiment, the alarm function The execution logic is: compare the remaining life of the parking lot lighting equipment with the first preset threshold and the second preset threshold respectively, wherein the first preset threshold is greater than the second preset threshold; when the remaining life of the parking lot lighting equipment is equal to or less than the first preset threshold and greater than the second preset threshold, a first alarm operation is performed; when the remaining life of the parking lot lighting equipment is equal to or less than the second preset threshold, a second alarm operation is performed; when the remaining life of the parking lot lighting equipment is greater than the first preset threshold, no alarm operation is performed; wherein the first alarm operation may be a light alarm, and the second alarm operation may be a combination of light and sound alarm.

[0158] In this embodiment, the voltage sensitivity index is used to evaluate the impact of voltage on the life of parking lot lighting equipment. Too high or too low voltage will accelerate the aging of parking lot lighting equipment.

[0159] The working principle and beneficial effects of the above technical solution are: by reading the equipment status reporting information and determining the working parameters of the lighting equipment; thereby effectively evaluating the remaining life of the parking lot lighting equipment based on the working parameters; and then accurately constructing the alarm function through the remaining life of the parking lot lighting equipment, thereby ensuring the accuracy and effectiveness of the first alarm operation or the second alarm operation, effectively ensuring timely understanding and prediction of the operating status of the parking lot lighting equipment, thereby achieving accurate planning of maintenance and replacement cycles, reducing the risk of failure, and ensuring the intelligence and effectiveness of parking lot lighting.

[0160] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0161] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. Parking lot intelligent lighting control system, characterized by: include: The acquisition and processing module is used to collect and pre-process the real-time data of the parking environment, and to store the real-time data of the parking environment securely; The automatic control module is used to analyze real-time parking environment data and intelligently control parking lot lighting. It also uses Bluetooth Mesh networking technology to enable local sensing and linkage between AI lamps, enabling synchronous response within the group. The remote control module integrates IoT technology and adds an intelligent gateway to access the internet for remote control of parking lots. This module uses IoT technology to access and analyze device status reports from parking lots, assess the remaining life of parking lot lighting equipment, build alarm functions, and generate fault alarms. The remote control module performs remote control of the parking lot, including: Remotely collect historical lighting control events within a preset time period and read the lighting parameters and driving parameters corresponding to the historical lighting control events; Evenly divide the preset time period according to the preset time interval to obtain multiple time nodes; Associating and mapping the lighting parameters and the driving parameters with a plurality of time nodes, respectively, and determining a first variation feature of the lighting parameters over the time nodes based on the association mapping results, and simultaneously determining a second variation feature of the driving parameters over the time nodes; Determining a third change characteristic of the lighting parameter and the driving parameter within a preset time period based on the first change characteristic and the second change characteristic; Obtaining a baseline change feature between the lighting parameter and the driving parameter, matching the third change feature with the baseline change feature, and determining a target matching degree between the third change feature and the baseline change feature; Collect the satisfaction of all users with lighting control in the parking lot within a preset time period, calculate the average satisfaction, and obtain the target satisfaction; Evaluate the current intelligent parking control solution based on target matching and target satisfaction to obtain a target score; Compare the target score with the preset qualification threshold to determine whether to generate an alarm instruction; When the target score is equal to or greater than the preset qualification threshold, it is determined that no alarm instruction is generated; When the target score is less than the preset qualified threshold, an alarm instruction is generated, and an evaluation warning report is generated according to the alarm instruction. At the same time, the administrator terminal is obtained; The assessment warning reports are sent to the administrator terminals respectively.

2. The parking lot intelligent lighting control system according to claim 1, characterized in that: Using IoT technology, we can access and analyze the status reports of parking lot equipment to assess the remaining life of parking lot lighting equipment. Specifically, we can: Read device status reporting information and determine the operating parameters of the lighting equipment; evaluate the remaining life of the parking lot lighting equipment based on the operating parameters; and construct an alarm function based on the remaining life of the parking lot lighting equipment. According to the alarm function and based on the remaining life of the parking lot lighting equipment, the first alarm operation, the second alarm operation or the false alarm operation is executed; according to the execution result, fault alarm notification information is generated, and the fault alarm notification information is transmitted to the monitoring terminal.

3. The parking lot intelligent lighting control system according to claim 1, characterized in that: Analyze real-time parking environment data and intelligently control parking lot lighting, including: According to the requirements of parking lot intelligent lighting control, an automatic parking lot intelligent lighting control program is pre-set. The real-time data of the parking lot environment is analyzed according to the pre-set automatic parking lot intelligent lighting control program, and the parking lot lighting conditions are intelligently and automatically controlled; Among them, when there is no human activity in the parking lot, the parking lot lighting conditions are intelligently and automatically adjusted, and the intelligently controlled AI lamps are automatically dimmed or turned off; Among them, when there are people moving in the parking lot, the parking lot lighting conditions are adjusted intelligently and automatically, and the intelligently controlled AI light tubes are automatically brightened.

4. The parking lot intelligent lighting control system according to claim 3, characterized in that: When the AI ​​light tubes are automatically dimmed by intelligent control, Bluetooth Mesh networking technology is used to enable local induction linkage between the AI ​​light tubes, so that the AI ​​light tubes in the group respond to the activity trajectory synchronously and light up the navigation path synchronously; Among them, after the AI ​​light tube is automatically brightened, it will synchronously wake up other AI light tubes within 3 meters around the AI ​​light tube, so that other AI light tubes within 3 meters around the AI ​​light tube will automatically brighten, thereby automatically adjusting the lighting range, so that the AI ​​light tube will be pre-lit before people and vehicles arrive, and the light will be gradually dimmed when people and vehicles leave. In addition, combined with parking guide lights and LED display screens, vacant parking space information is displayed in real time, and the driver is guided by lights to quickly find a vacant parking space.

5. The parking lot intelligent lighting control system according to claim 4, characterized in that: Automatically adjust the lighting range, including: Obtaining a regional distribution map of the parking lot, and determining regional attributes of different areas in the parking lot based on the regional distribution map, wherein the different areas include parking spaces and vehicle driving lanes; The parking lot is divided into N small areas based on regional attributes, and a dynamic monitoring mechanism is set up for each small area; Based on the positional relationship of each small area, the dynamic monitoring mechanism is associated with multi-directional trigger conditions, and based on the multi-directional trigger condition association results, the parameters of the monitoring object are added to the dynamic monitoring mechanism to obtain the target dynamic monitoring mechanism; At the same time, the central AI light tube in each small area is calibrated, and based on the calibration results, the AI ​​light tubes in each small area are divided into multiple directions and multiple spatial scales; Based on the multi-spatial scale division results, the priority configuration of the step brightness parameters of the AI ​​lamps in different spatial sizes in each small area is performed in turn, and a dynamic adjustment mechanism for the brightness of the AI ​​lamps in different small areas is obtained; Connect the dynamic target monitoring mechanism of each small area with the dynamic brightness adjustment mechanism of the AI ​​lamp tube, and monitor the real-time status of the parking lot based on the connection results; When the activity of a monitored object is detected in the parking lot, the movement trajectory of the monitored object is tracked, and based on the tracking results, the docking results of the target dynamic monitoring mechanism and the AI ​​lamp tube brightness dynamic adjustment mechanism are synchronously activated; Based on the synchronous start-up results, the AI ​​light tubes in each small area are lit in a stepped brightness according to the movement trajectory of the monitored object.

6. The parking lot intelligent lighting control system according to claim 1, characterized in that: Integrate IoT technology and add smart gateways to access the Internet to remotely control parking lots, including: Based on Internet of Things technology and connected to the Internet through an intelligent gateway, the equipment status, energy consumption data, fault alarms and equipment life in the parking lot are monitored and analyzed in real time, and the equipment status reporting information, energy consumption data statistics, fault alarm notification information and equipment life management information are determined. The equipment status reporting information, energy consumption data statistics, fault alarm notification information and equipment life management information are sent to the cloud to realize remote monitoring and management of the parking lot.

7. The parking lot intelligent lighting control system according to claim 1, characterized in that: Collect real-time data about the parking environment, including: Based on the light sensors installed in the parking lot, the light intensity in the parking lot is monitored in real time to obtain the parking lot ambient light data; Based on the microwave radar sensors installed in the parking lot, the activities of people in the parking lot are monitored in real time to obtain the activity data of people in the parking lot; Determine the real-time data of the parking lot environment based on the parking lot ambient light data and parking lot personnel activity data.

8. The parking lot intelligent lighting control system according to claim 1, characterized in that: Preprocessing of real-time parking environment data, including: Clean the real-time data of the parking lot environment to remove the noise in the real-time data of the parking lot environment and reduce the interference of the noise in the real-time data of the parking lot environment on the intelligent lighting control of the parking lot; Check the real-time data of the parking environment, identify missing values ​​and abnormal values ​​in the real-time data of the parking environment, and process the missing values ​​and abnormal values ​​in the real-time data of the parking environment; Among them, the missing values ​​and outliers in the real-time data of the parking lot environment are evaluated to determine whether the missing values ​​and outliers in the real-time data of the parking lot environment are useful for the intelligent lighting control of the parking lot; If missing values ​​and outliers in the real-time parking environment data are useful for parking lot intelligent lighting control, the missing values ​​are filled and the outliers are corrected; If the missing values ​​and outliers in the real-time data of the parking lot environment are useless for the intelligent lighting control of the parking lot, the missing values ​​and outliers are removed.

9. The parking lot intelligent lighting control system according to claim 1, characterized in that: Preprocessing of real-time parking environment data also includes: Normalize the real-time parking environment data to convert it into a unified data format, remove the dimensional differences in the real-time parking environment data, and determine standardized real-time parking environment data; Integrate the real-time parking environment data from different sources into a unified data view, and verify the data integrity of the integrated real-time parking environment data. After the verification is qualified, the integrated real-time parking environment data is securely stored.

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