CN-122028268-A - Intelligent lighting control method based on wireless ad hoc network

CN122028268ACN 122028268 ACN122028268 ACN 122028268ACN-122028268-A

Abstract

The invention relates to the technical field of intelligent lighting, in particular to an intelligent lighting control method based on a wireless ad hoc network, which comprises the steps of receiving a starting instruction, and activating a multidimensional monitoring network comprising vehicles, personnel, illumination, positions and lamp states, acquiring an initial area layout chart and initial layout data of the parking lot, and generating an initial lighting strategy sequence. And acquiring the vehicle position in real time by combining a position monitoring network, and matching the initial lighting strategy of the corresponding area to form an initial target lighting strategy. Meanwhile, real-time monitoring data such as vehicle distribution density, personnel activity state, lamp running and connection state, environment illumination intensity and the like are collected, initial target brightness and illumination range are fused, a preferable target illumination strategy is dynamically optimized and generated, cooperative control of the lamps is realized through a wireless ad hoc network, intelligent level and response capability of illumination of an underground parking lot are improved, and the intelligent vehicle parking system has the advantages of energy conservation, high efficiency, stability, reliability, easiness in expansion and the like, and is suitable for complex and changeable underground parking environments.

Inventors

LUO JIEFU
JIANG JUNCHENG
LIAO QIWEI
QU GUANG

Assignees

浙江百康光学股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260319

Claims (10)

1. An intelligent lighting control method based on wireless ad hoc network, which is characterized by comprising the following steps: receiving a parking lot starting instruction, and starting a monitoring network based on the starting instruction, wherein the monitoring network comprises a vehicle monitoring network, a personnel activity monitoring network, an illumination monitoring network, a position monitoring network and a lamp state monitoring network; Extracting an area layout diagram of the parking lot based on a position monitoring network, acquiring initial area layout data of the parking lot, and acquiring an initial lighting strategy sequence according to the initial area layout data, wherein the initial area layout data comprises initial traffic flow data, initial illumination data and initial structure data, and the initial lighting strategy sequence comprises a plurality of initial lighting strategies; Acquiring a vehicle position based on a position monitoring network, and extracting an initial lighting strategy corresponding to the vehicle position from an initial lighting strategy sequence according to the vehicle position to obtain an initial target lighting strategy; Acquiring a vehicle distribution density in a preset range by using a vehicle monitoring network, acquiring a personnel activity state according to a personnel activity monitoring network, acquiring a lamp running state and a lamp connection state according to a lamp state monitoring network, acquiring an environment illumination intensity according to an illumination monitoring network, and summarizing the vehicle distribution density, the personnel activity state, the lamp running state, the lamp connection state and the environment illumination intensity to obtain real-time monitoring data; And extracting initial target brightness and an initial target illumination range from the initial target illumination strategy, acquiring a preferred target illumination strategy according to the real-time monitoring data, the initial target brightness and the initial target illumination range, and completing intelligent illumination control of the urban underground parking lot of the wireless ad hoc network based on the preferred target illumination strategy.
2. The wireless ad hoc network-based intelligent lighting control method of claim 1, wherein said obtaining an initial lighting strategy sequence from said initial area layout data comprises: acquiring a region-channel sequence based on initial structure data, wherein the region-channel sequence comprises a plurality of regions and a plurality of channels; Extracting target data from the region-channel sequence in sequence, and generating a low-brightness strategy based on the target data if the target data is a channel; If the target data is the area, the limiting brightness of the area is obtained, the area type and the traffic average speed are obtained based on the initial traffic flow data, the area congestion index is calculated based on the area type and the traffic average speed, the natural illumination intensity is obtained based on the initial illumination data, and the illumination influence index is calculated according to the natural illumination intensity; Calculating an initial brightness value based on the regional congestion index, the illumination influence index and the limiting brightness, and inquiring an illumination strategy corresponding to the initial brightness value from a pre-constructed illumination strategy table to obtain a regional illumination strategy; and sequentially summarizing the low-brightness strategy and the area illumination strategy according to the area-channel sequence to obtain an initial illumination strategy sequence.
3. The wireless ad hoc network-based intelligent lighting control method according to claim 2, wherein said calculating the regional congestion index based on the regional type and the traffic average speed comprises: The method comprises the steps of obtaining a congestion classification level and a region classification level, wherein the congestion classification level comprises a plurality of sub-levels, the sub-levels comprise extreme congestion, slight congestion, basic smoothness and extreme smoothness, and the region classification level comprises a plurality of sub-region types, namely a main channel region, a parking region, a crossing region and an entrance region; Sequentially extracting sub-region types from the plurality of sub-region types, acquiring traffic speed intervals of the sub-region types, performing an average division operation on the traffic speed intervals by using the preset congestion classification level number to obtain a plurality of speed intervals, and respectively calculating unit congestion indexes of each speed interval in the plurality of speed intervals to obtain a regional congestion index set, wherein the plurality of speed intervals are an extremely congested speed interval, a slightly congested speed interval, a basic unobstructed speed interval and an extremely unobstructed speed interval respectively; The sub-region type, the plurality of speed intervals and the regional congestion index set are associated to obtain a regional data set, wherein the regional data set comprises a plurality of regional data, and the regional data comprises a speed interval and a unit congestion index corresponding to the speed interval; And identifying the regional data group corresponding to the regional type from the congestion reference table, obtaining a target regional data group, extracting regional data corresponding to the traffic flow uniform velocity from the target regional data group, and confirming the unit congestion index in the regional data corresponding to the traffic flow uniform velocity as the regional congestion index.
4. The intelligent lighting control method based on wireless ad hoc network according to claim 1, wherein said obtaining the ambient lighting intensity according to the lighting monitoring network comprises: Acquiring a multi-angle illumination data set in a preset range by utilizing an illumination monitoring network, and acquiring a real-time illumination model by utilizing the multi-angle illumination data set and a pre-constructed three-dimensional parking lot model; Intercepting a plurality of monitoring lines and a plurality of monitoring points from a real-time illumination model to obtain a monitoring data set, wherein the monitoring lines are parallel to a main channel of a parking lot, the monitoring points are uniformly distributed in each area of the parking lot, the real-time illumination model is a model formed based on a three-dimensional space within a preset range, the three-dimensional space comprises a three-dimensional coordinate system, and the three-dimensional coordinate system comprises a transverse shaft, a longitudinal shaft and a vertical shaft; and acquiring an illumination intensity data set based on the monitoring data set, and calculating the average illumination intensity of the area based on the illumination intensity data set to obtain the environment illumination intensity.
5. The wireless ad hoc network-based intelligent lighting control method of claim 4, wherein said obtaining an illumination intensity dataset based on the monitored dataset, calculating an area average illumination intensity based on the illumination intensity dataset, comprises: Sequentially extracting monitoring points from a monitoring data set to obtain target monitoring points, and performing the following operations on the target monitoring points, namely setting a monitoring area with a preset radius by taking the target monitoring points as the center, extracting two-dimensional illumination distribution corresponding to the target monitoring points from the real-time illumination model to obtain an illumination distribution image; Extracting an illumination intensity curve corresponding to the target monitoring point by utilizing a pre-constructed illumination identification algorithm, sequentially obtaining extreme points of the illumination intensity curve to obtain an extreme point set, calculating an illumination intensity data set based on the extreme point set, and calculating unit illumination intensity according to the illumination intensity data set; Summarizing the unit illumination intensity to obtain an illumination intensity set, and calculating the area average illumination intensity based on the illumination intensity set, wherein the area average illumination intensity is a weighted average of the unit illumination intensity in the illumination intensity set.
6. The wireless ad hoc network-based intelligent lighting control method according to claim 5, wherein said calculating an illumination intensity data set based on the extreme point set, calculating a unit illumination intensity from the illumination intensity data set, comprises: Extracting the next extreme point adjacent to the target extreme value in the extreme value set to obtain an adjacent extreme value, wherein the adjacent extreme value is a minimum value if the target extreme value is a maximum value, and the adjacent extreme value is a maximum value if the target extreme value is a minimum value; Acquiring the ordinate of the target extremum point and the adjacent extremum point in the illumination intensity curve respectively to obtain the target extremum and the adjacent extremum, calculating the absolute difference of the target extremum and the adjacent extremum to obtain unit longitudinal illumination data, calculating the absolute difference of the target extremum point and the adjacent extremum to obtain unit transverse illumination data, and summarizing the unit longitudinal illumination data and the unit transverse illumination data to obtain the unit illumination data; Summarizing the unit illumination data to obtain an initial illumination data set; an envelope illumination data set is constructed based on the illumination intensity curve, the envelope illumination data set and the initial illumination data set are summarized, the illumination intensity data set is obtained, and the unit illumination intensity is calculated based on the illumination intensity data set.
7. The wireless ad hoc network-based intelligent lighting control method of claim 6, wherein said constructing an envelope lighting data set based on a lighting intensity curve comprises: Obtaining an envelope straight line of the unit curve, extracting a plurality of extreme points existing in the envelope straight line from an extreme point set to obtain an envelope extreme point set, and respectively obtaining a value of the envelope extreme point on the unit curve and a value of the envelope extreme point on the envelope straight line to obtain a curve value and a straight line value, and calculating absolute difference values of the curve value and the straight line value to obtain envelope illumination data; Summarizing the unit envelope illumination data to obtain a plurality of envelope illumination data corresponding to the unit curve, and summarizing the plurality of envelope illumination data to obtain an envelope illumination data set corresponding to the illumination intensity curve.
8. The wireless ad hoc network-based intelligent lighting control method of claim 6, wherein said calculating a unit lighting intensity based on the lighting intensity data set comprises: Extracting envelope illumination data sets and initial illumination data sets from the illumination intensity data sets, extracting envelope illumination data corresponding to the illumination intensity nodes from the envelope illumination data sets to obtain target envelope data, and extracting unit illumination data corresponding to the illumination intensity nodes from the initial illumination data sets to obtain target illumination data; calculating the unit illumination intensity corresponding to the illumination intensity node based on the target envelope data and the target illumination data, wherein the calculation formula of the unit illumination intensity is as follows: ; Wherein, the Indicating the intensity of the unit illumination of the light, Represents the envelope illumination data and, 、、 And Respectively represents envelope illumination weight, unit transverse illumination weight, unit longitudinal illumination weight and transverse-longitudinal ratio weight, and 、、 And Are all constant and are used for the preparation of the high-voltage power supply, Unit lateral illumination data representing the target illumination data, Unit longitudinal illumination data representing the target illumination data, Representing the numerical stabilization parameters.
9. The intelligent lighting control method based on wireless ad hoc network as claimed in claim 1, wherein said extracting the initial target brightness and the initial target lighting range from the initial target lighting strategy, and obtaining the preferred target lighting strategy according to the real-time monitoring data, the initial target brightness and the initial target lighting range, comprises: acquiring a multi-modal weight set corresponding to the real-time monitoring data by using a pre-constructed evaluation method, performing normalization operation on the real-time monitoring data to obtain a normalized data set, calculating an initial target brightness correction parameter according to the normalized data set and the multi-modal weight set, and calculating the product of the initial target brightness correction parameter and the initial target brightness to obtain target illumination brightness; If the target illumination brightness is within the initial target illumination range, extracting the current illumination brightness from the running state of the lamp; If the target illumination brightness is larger than the current illumination brightness, confirming the target illumination brightness and the initial target illumination range as a preferable target illumination strategy, otherwise, calculating an absolute difference value of the target illumination brightness and the current illumination brightness to obtain the brightness to be regulated, calculating a ratio of the brightness to be regulated to the target illumination brightness to obtain a brightness difference percentage, and if the brightness difference percentage is larger than a preset brightness threshold value, generating a brightness early warning, and generating the preferable target illumination strategy based on the brightness early warning, the brightness to be regulated and the initial target illumination range; If the target illumination brightness is not in the initial target illumination range, acquiring a corrected illumination range corresponding to the target illumination brightness, acquiring the lowest brightness and the highest brightness of the corrected illumination range, if the lowest brightness is larger than the current illumination brightness, confirming the corrected illumination range and the target illumination brightness as a preferable target illumination strategy, if the highest brightness is smaller than the current illumination brightness, generating a brightness early warning, and generating the preferable target illumination strategy based on the brightness early warning, the corrected illumination range and the target illumination brightness.
10. A computer readable storage medium, wherein a wireless ad hoc network based intelligent lighting control program is stored on the computer readable storage medium, which when executed by a processor, implements the steps of the wireless ad hoc network based intelligent lighting control method according to any one of claims 1 to 9.

Description

Intelligent lighting control method based on wireless ad hoc network Technical Field The invention relates to the technical field of intelligent lighting, in particular to an intelligent lighting control method based on a wireless ad hoc network. Background With the acceleration of the urban process, underground parking lots are becoming an important component of urban traffic infrastructure, with increasing scale and complexity. The traditional underground parking garage illumination system adopts a timing control or simple induction control mode, generally has the problems of high energy consumption, lag response, poor illumination effect and the like, and is difficult to meet the requirements of modern smart cities on energy conservation, safety and intelligent management. Especially in the underground environment with large fluctuation of traffic flow and irregular personnel activities, the phenomenon of excessive illumination of an unmanned area or insufficient illumination of a high activity area is easily caused by a fixed illumination mode, so that energy is wasted, and driving safety and user experience can be influenced. In recent years, the development of the internet of things and wireless communication technology provides a new solution for intelligent illumination. Part of researches try to introduce wireless sensing networks such as ZigBee, loRa and the like to realize centralized control and state feedback of lamps, but the defects of poor network reliability, weak expansibility, easy interference and the like exist due to the dependence on a central node. In addition, the existing system is single in environmental perception dimension, brightness adjustment is generally carried out only based on vehicle or human body infrared induction, comprehensive analysis on multi-source information such as vehicle flow density, personnel distribution, environmental illumination, space structure and self-state of lamps is lacked, and therefore illumination strategy adaptability is poor, and fine and dynamic illumination on demand is difficult to achieve. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The invention mainly aims to provide an intelligent lighting control method based on a wireless ad hoc network, which aims to solve the technical problems that the existing underground parking garage lighting system has high energy consumption, lag response, single control mode and poor network reliability, and is difficult to realize self-adaptive and intelligent lighting control based on multi-source environment sensing. In order to achieve the above object, the present invention provides a wireless ad hoc network-based intelligent lighting control method, which includes: receiving a parking lot starting instruction, and starting a monitoring network based on the starting instruction, wherein the monitoring network comprises a vehicle monitoring network, a personnel activity monitoring network, an illumination monitoring network, a position monitoring network and a lamp state monitoring network; Extracting an area layout diagram of the parking lot based on a position monitoring network, acquiring initial area layout data of the parking lot, and acquiring an initial lighting strategy sequence according to the initial area layout data, wherein the initial area layout data comprises initial traffic flow data, initial illumination data and initial structure data, and the initial lighting strategy sequence comprises a plurality of initial lighting strategies; Acquiring a vehicle position based on a position monitoring network, and extracting an initial lighting strategy corresponding to the vehicle position from an initial lighting strategy sequence according to the vehicle position to obtain an initial target lighting strategy; Acquiring a vehicle distribution density in a preset range by using a vehicle monitoring network, acquiring a personnel activity state according to a personnel activity monitoring network, acquiring a lamp running state and a lamp connection state according to a lamp state monitoring network, acquiring an environment illumination intensity according to an illumination monitoring network, and summarizing the vehicle distribution density, the personnel activity state, the lamp running state, the lamp connection state and the environment illumination intensity to obtain real-time monitoring data; And extracting initial target brightness and an initial target illumination range from the initial target illumination strategy, acquiring a preferred target illumination strategy according to the real-time monitoring data, the initial target brightness and the initial target illumination range, and completing intelligent illumination control of the urban underground parking lot of the wireless ad hoc network bas