CN117336926A - Street lamp intelligent sensing and control system and method based on millimeter wave radar - Google Patents
Street lamp intelligent sensing and control system and method based on millimeter wave radar Download PDFInfo
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
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- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
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- H05B47/10—Controlling the light source
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
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- H—ELECTRICITY
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- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/175—Controlling the light source by remote control
- H05B47/19—Controlling the light source by remote control via wireless transmission
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Abstract
The invention provides a street lamp intelligent sensing and controlling system and a method thereof based on millimeter wave radar, wherein the system comprises a millimeter wave radar sensing module, a street lamp dimming control unit module, an Internet of things cloud platform and a remote management user module, wherein the millimeter wave radar sensing module is arranged at two sides of a street lamp and is used for acquiring information such as relative speed, direction and the like of targets around the street lamp, the Internet of things cloud platform comprehensively decides data reported by the millimeter wave radar sensing module and issues corresponding dimming control instructions to the street lamp dimming control module according to decision results; the street lamp dimming control module is used for receiving and executing corresponding dimming control instructions and feeding back the executed street lamp state information to the Internet of things cloud platform so as to further update the street lamp state and count the street lamp energy consumption. The intelligent dimming control system combines the internet of things system to control the intelligent dimming of the street lamp, can monitor the running and illumination states of the street lamp in real time, and has important social significance for energy conservation and emission reduction of street lamp illumination.
Description
Technical Field
The invention relates to the technical field of intelligent street lamps, in particular to an intelligent street lamp sensing and controlling system based on millimeter wave radar and a sensing and controlling method using the system.
Background
With the continuous progress and development of the times, the modern construction of cities is more and more different. Urban road lighting plays an important role in urban brightening engineering, and provides safe and convenient traffic and night activity environments for urban residents. However, the energy supply and demand contradiction is increasingly aggravated, and a great challenge is brought to the sustainable development of cities. According to statistics, the number of street lamps in the city of China exceeds 3245 ten thousand, the total annual power consumption is 590 hundred million degrees, and the lighting power consumption of the street lamps in the city accounts for about 15% of the total power consumption of the city.
At present, the illumination scheme adopted by urban street lamp illumination at home and abroad is mainly 'full night lamp constant illumination'. This lighting scheme includes two ways: firstly, the street lamp on the road at night always keeps on no matter how much traffic flows are, and the street lamp is illuminated in the whole period; secondly, the street lamp illumination is realized through time control, the street lamp is operated at full power in the upper half of the night, and the street lamp is operated at half power in the lower half of the night. Such illumination ensures public transportation and pedestrian safety. However, the number of vehicles and pedestrians is small from midnight to early morning, and the illumination mode causes serious waste of energy. Therefore, reducing the energy consumption of street lamp illumination is an urgent need. More green low energy lighting schemes are being called for to further improve energy efficiency and reduce the negative environmental impact of carbon dioxide emissions. At present, a common street lamp energy-saving control scheme is to automatically control the on and off of a street lamp according to local sunrise and sunset time or natural environment light intensity information. Meanwhile, part of street lamp control systems are used for controlling the brightness of the street lamps in a sectionalized and timing mode according to the traffic flow information of different illuminated road sections. And part of street lamp control systems monitor information such as the position, the moving direction and the like of a human body through technologies such as infrared, laser radar, camera image processing and the like, detect information such as the number and the density of pedestrians and the like, and control the brightness change of the street lamp. In addition, some street lamp controls perform pedestrian detection through millimeter wave radar and adjust illumination brightness. Thus, the prior art suffers from several drawbacks:
(1) Common practice of controlling the turning on and off of a street lamp according to local time or ambient light intensity information is essentially a "constant illumination of a full night light". Most urban residents are in a sleeping or resting state in the next half of the night, and few cars and pedestrians on the street are in the state of being constantly on, so that all lamps are kept on by the illumination mode, and serious waste of electric power resources is caused.
(2) The method is characterized in that the method (1) is an improvement of 'sectional constant illuminance', lacks flexibility and does not have the capability of realizing real-time dimming of the street lamp according to real-time traffic flow change.
(3) The real-time intelligent control system of the street lamp is realized through the infrared, the laser radar and the camera, the passing of people and vehicles cannot be detected when the distance is not reached, the street lamp illumination can be started or regulated in advance, under the condition that the running speed of the automobile is higher, the illumination cannot be started in advance, and certain hidden danger can be caused to the road safety. Meanwhile, similar systems are easy to be influenced by the environment, and the detection range and accuracy can be drastically reduced in severe weather environments.
(4) In the existing street lamp control system for detecting by using the millimeter wave radar, a deployed millimeter wave radar sensing group and a street lamp control group are relatively fixed, and the relatively fixed deployment mode means that in the intelligent street lamp control system, the relationship between the millimeter wave radar sensing group and the street lamp control group is preset, the deployment mode is usually configured according to experience of a designer or based on certain default parameters, and the same configuration mode is often adopted for the whole road network in implementation. For example, for a street lamp on a certain road section, the relation between the sensing group and the control group is a fixed pair of two, namely, one sensor corresponds to two controllers (a master controller and a slave controller), when the sensor senses that a person passes by, the street lamp connected with the master controller is lightened, meanwhile, the master controller sends a control instruction for lightening the street lamp to the slave controller connected with the master controller, and the street lamp connected with the slave controller is lightened, so that the deployment mode cannot be adjusted according to the environment condition. The fixed control mode lacks flexibility, the relation between the sensing group and the control group needs to be adjusted one by one in an adaptive mode according to the environmental information such as the traffic flow of different road sections, and the high research, development and maintenance cost causes that similar systems are difficult to apply to complex road scenes in reality.
Disclosure of Invention
Compared with the existing lighting system, most of the lighting system cannot automatically monitor the running state of the street lamp, and the street lamp can only be managed and maintained in a manual patrol mode, so that the problem of wasting a lot of manpower and serious hysteresis is solved.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
the system comprises a millimeter wave radar sensing module, a street lamp dimming control unit module, an Internet of things cloud platform and a remote management user module, wherein the millimeter wave radar sensing module is arranged at two sides of a street lamp and used for acquiring information such as relative speed, direction and the like of targets around the street lamp and sending the acquired data to the Internet of things cloud platform, and the Internet of things cloud platform comprehensively decides the data reported by the millimeter wave radar sensing module based on a street lamp control algorithm and issues corresponding dimming control instructions to the street lamp dimming control module according to decision results; the street lamp dimming control module is used for receiving and executing corresponding dimming control instructions, feeding back the executed street lamp state information to the Internet of things cloud platform for further street lamp state updating and street lamp energy consumption statistics, and the Internet of things cloud platform is used for calculating the street lamp energy consumption ratio and executing remote management operation to the remote management user module based on the fed back street lamp state information.
The further scheme is that the millimeter wave radar sensing module comprises a millimeter wave radar, an illumination sensor, a first microprocessor and a first wireless communication module, wherein the millimeter wave radar is additionally arranged on two sides of the street lamp respectively for continuously and outwards detecting, the information such as the relative speed and the direction of a target around the street lamp is obtained, the illumination sensor is matched with each street lamp and used for monitoring the illumination intensity of the surrounding environment of the street lamp in real time, the microprocessor is respectively connected with the millimeter wave radar and the illumination sensor and used for sending data detected by the millimeter wave radar and the light intensity sensor to the cloud platform of the Internet of things according to the MQTT protocol of the wireless communication module for comprehensive decision judgment according to the preset reporting time delay.
The street lamp dimming control module comprises a second microprocessor and a second wireless communication module, wherein the second microprocessor is used for receiving and executing corresponding dimming control instructions, and feeding back street lamp state information to the Internet of things cloud platform in real time through the second wireless communication module so as to further update street lamp states and count street lamp energy consumption.
The remote management user module comprises a user module, a map positioning module, a monitoring module and a management module, wherein the user module comprises a user login function, a token authority check and a tourist mode; the map positioning module is used for checking the geographic positions of all street lamp systems and the specific numbers and positions of each street lamp; the monitoring module is used for acquiring real-time target perception information of the intelligent street lamp perception and control system and real-time brightness state information of the street lamp, and also used for checking an energy consumption statistical graph of the street lamp in real time; the management module is used for modifying the control mode of the set street lamps, controlling the illumination brightness of all street lamps or a certain street lamp, modifying the parameters of street lamp equipment and deriving a historical month/day energy consumption statistical graph.
The intelligent street lamp sensing and controlling method based on the millimeter wave radar is applied to the intelligent street lamp sensing and controlling system based on the millimeter wave radar, and comprises the following steps:
two millimeter wave radar modules are additionally arranged on two sides of each street lamp, each millimeter wave radar module is provided with a unique equipment number, the unique equipment numbers are respectively expressed as sens_dev00_l and sens_dev00_r, and if a first millimeter wave radar detects a moving target in the left side range of the street lamp, the first millimeter wave module reports json data packets through a wireless network in an MQTT protocol;
setting the quality of service level of the MQTT to be QoS0 level in the process of reporting by the millimeter wave radar sensing module, and ensuring the rapid reporting of the next detection data under the QoS0 level;
reporting the sensing information to an Internet of things cloud platform by all millimeter wave radar sensing modules, and uniformly judging the sensing information in the sensing data of all devices by the Internet of things cloud platform according to a set illumination control mode, wherein the judgment comprises the steps of starting or closing an intelligent sensing mode according to an environment light intensity value, switching different intelligent modes according to a time period, controlling street lamp linkage and the like;
in an intelligent single-lamp dimming mode, the internet of things cloud platform automatically sends an initialization low-brightness instruction to the street lamp dimming control module;
detecting the perception data reported by all perception modules by the cloud platform of the Internet of things, and issuing a high-brightness illumination instruction to a street lamp dimming control module of a designated street lamp once a moving target around a certain street lamp is detected; the street lamp dimming control module feeds back the real-time updating state of the street lamp to the Internet of things cloud platform immediately after the dimming instruction is executed;
if the street lamp in the high-brightness illumination mode is started for 10 seconds and the target passing is not detected, the internet of things cloud platform sends out a low illumination control instruction, and the street lamp returns to an initialized low illumination state, wherein the duration support internet of things cloud platform is configurable.
According to the intelligent sensing and control method of the street lamp based on the millimeter wave radar, dev00 in equipment numbers is the number of the installed binding street lamp, and l and r respectively represent the direction right to the left side and the right side of the street lamp from the street lamp illumination section.
According to the intelligent street lamp sensing and controlling method based on millimeter wave radar, the json data packet comprises: { "dev_id": "sens_dev00_l", "lux":80 "," flag ": true", "speed":2.197}, wherein dev_id is a unique equipment identification number of equipment, lux is an analyzed current environment light intensity data value, flag is a mark for detecting whether a target passes or not, speed is a speed value of detecting the target by a millimeter wave radar, and if the speed value is a positive number, the direction of keeping the target away from the street lamp is indicated; if the number is negative, the target is close to the street lamp; if the value is 0.0, it means that the passing of the object is not detected temporarily.
According to the street lamp intelligent sensing and control method based on millimeter wave radar, the initialization low-brightness instruction comprises the following steps: the main problem is "/devices/lights/control", the load content is { "status": "LOW", "coast": 0}, status is the lighting control instruction executed by the street lamp, and the lighting control instruction is issued by the internet of things cloud platform after decision calculation, and the instructions comprise: LOW, HIGH, OFF; the blaston is a control mode in which the street lamp is positioned when the device executes instructions: 0,1,2,3 respectively represent an intelligent control mode, a manual control mode, a server initialization mode, and a control device restart initialization mode.
According to the intelligent street lamp sensing and controlling method based on millimeter wave radar, the high-brightness illumination instruction comprises: the main title is "/dev_id/lights/control", the load content is { "status": "HIGH", "reason":0}, wherein dev_id is the number of the street lamp where the device is located.
According to the street lamp intelligent sensing and control method based on the millimeter wave radar, a linked dimming mode is set on the Internet of things cloud platform, and in the linked dimming mode, if a sensing module on one side of the street lamp senses that a target passes through, the Internet of things cloud platform issues a high-illumination starting instruction to the street lamp and the next street lamp; when the detection target passes, the high-brightness illumination of the two-rod or three-rod street lamp is started in a linkage way so as to meet the illumination requirements of different road sections.
It can be seen that the invention has the following beneficial effects over the prior art:
1. the universality is strong: according to the road lamp control system and the road lamp control method, corresponding road lamp control strategies can be set through the Internet of things cloud platform according to different road section requirements, and the road lamps of the road section can be subjected to dimming control according to different lighting requirements by using the same set of Internet of things system. The installation positions of the sensing modules can be deployed on different heights according to different road segment requirements, and the invention has the advantages of expandability and flexible deployment.
2. The real-time performance is strong and the interactivity is good: due to the fact that the technology of the Internet of things is combined, once people or vehicles are detected to pass, each device can timely report data or receive corresponding control instructions to accurately and rapidly control dimming of the street lamp, meanwhile, the target detection state and the illumination state of the street lamp can be refreshed in real time on the cloud platform of the Internet of things, and a remote management user can modify corresponding device parameters through advanced setting to meet different illumination requirements.
3. The economic benefit is good: because the equipment can be repeatedly used, the equipment can be used for a long time in one production without separate design for different road sections, and therefore, the economic benefit is good.
4. Data traceability: the invention stores the data such as relevant illumination, energy consumption statistics and the like generated in the working process of the street lamp in real time, a user can trace the relevant data, analyze the traffic flow of people in different time periods of road section illumination and the corresponding power resource energy consumption, and provide powerful quantitative data support for the subsequent establishment of a more accurate illumination scheme to promote energy conservation and emission reduction.
The invention is described in further detail below with reference to the drawings and the detailed description.
Drawings
FIG. 1 is a schematic block diagram of an embodiment of a millimeter wave radar-based intelligent street lamp sensing and control system of the present invention.
Fig. 2 is a schematic block diagram of a millimeter wave radar sensing module in an embodiment of a street lamp intelligent sensing and controlling system based on millimeter wave radar in the present invention.
Fig. 3 is a schematic block diagram of a street lamp dimming control module in an embodiment of a street lamp intelligent sensing and control system based on millimeter wave radar.
Fig. 4 is a schematic block diagram of a remote management user module in an embodiment of a millimeter wave radar-based intelligent street lamp sensing and controlling system of the present invention.
Fig. 5 is a schematic diagram of three-lamp linkage dimming in an embodiment of a method for intelligent sensing and controlling of a street lamp based on millimeter wave radar.
Fig. 6 is a schematic architecture diagram of a millimeter wave radar sensing module in an embodiment of a millimeter wave radar based intelligent street lamp sensing and control system according to the present invention.
Fig. 7 is a schematic diagram of an architecture of a street lamp dimming control module in an embodiment of a millimeter wave radar-based intelligent sensing and control system for street lamps according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Street lamp intelligent sensing and control system embodiment based on millimeter wave radar
Referring to fig. 1 to 7, the invention provides a street lamp intelligent sensing and controlling system based on millimeter wave radar, which comprises a millimeter wave radar sensing module, a street lamp dimming control unit module, an internet of things cloud platform and a remote management user module, wherein the millimeter wave radar sensing module is arranged at two sides of a street lamp and is used for acquiring information such as relative speed, direction and the like of a target around the street lamp and sending the acquired data to the internet of things cloud platform; the street lamp dimming control module is used for receiving and executing corresponding dimming control instructions, feeding back the executed street lamp state information to the Internet of things cloud platform for further street lamp state updating and street lamp energy consumption statistics, and the Internet of things cloud platform is used for calculating the street lamp energy consumption ratio and executing remote management operation to the remote management user module based on the fed back street lamp state information.
The system comprises an Internet of things system, a road lamp and a road lamp, wherein the end side of the Internet of things system is a millimeter wave radar and is used for acquiring relative speed and direction information of targets around the road lamp; the management side communication protocol of the Internet of things system is 4G network communication; the cloud application layer communication protocol of the Internet of things system comprises HTTP, MQTT and Websocket protocols, and cloud data can be used for calculating energy consumption ratio and remote management users and stored for use.
In this embodiment, as shown in fig. 2 and 6, the millimeter wave radar sensing module includes a millimeter wave radar, an illumination sensor, a first microprocessor and a first wireless communication module, such as an STM32 microprocessor and a 4G module, where two sides of a street lamp are respectively and additionally provided with a millimeter wave radar to continuously detect outwards, so as to obtain information such as relative speed and direction of a target around the street lamp, and the data is sent to a cloud server through the microprocessor and the 4G module of the sensing module in a 4G network to make a comprehensive calculation decision, and the illumination sensor is configured with each street lamp to monitor illumination intensity of an environment around the street lamp in real time, and the microprocessor is respectively connected with the millimeter wave radar and the illumination sensor and is used for sending the data detected by the millimeter wave radar and the light intensity sensor to the internet of things cloud platform according to a preset reporting time delay through an MQTT protocol of the wireless communication module to make a comprehensive decision.
In this embodiment, the cloud server makes a comprehensive decision on the data reported by the sensing module according to the street lamp control scheme set by the internet of things cloud platform, such as timing segmented dimming control and street lamp grouping control, and issues a corresponding dimming control instruction to the street lamp dimming control module according to the decision result, including LOW, HIGH, OFF.
In this embodiment, the street lamp dimming control module includes a second microprocessor and a second wireless communication module, such as an STM32 microprocessor and a 4G module, as shown in fig. 3 and 7, where the second microprocessor is configured to receive and execute a corresponding dimming control instruction, and feed back street lamp status information to the internet of things cloud platform in real time through the second wireless communication module to perform further street lamp status update and street lamp energy consumption statistics. Therefore, the street lamp dimming control module is responsible for receiving and executing corresponding instructions and feeding back the executed street lamp state information to the internet of things cloud platform so as to further update the street lamp state and count the street lamp energy consumption.
In this embodiment, as shown in fig. 4, the remote management user module includes a user module, a map positioning module, a monitoring module, and a management module, where the user module includes a user login function, a token authority check, and a guest mode; the map positioning module is used for checking the geographic positions of all street lamp systems and the specific numbers and positions of each street lamp; the monitoring module is used for acquiring real-time target perception information of the intelligent street lamp perception and control system and real-time brightness state information of the street lamp, and also used for checking an energy consumption statistical graph of the street lamp in real time; the management module is used for modifying the control mode of the street lamps, controlling the illumination brightness of all street lamps or a certain street lamp, modifying parameters of street lamp equipment (such as the time delay of reporting data by the perception module, the brightness ratio of low illumination and high illumination of the street lamps, and the like), and deriving a historical month/day energy consumption statistical graph.
Preferably, the 4G module is a 4G CAT.1 module, the millimeter wave radar is a millimeter wave radar RKB1120, and the microprocessor is a singlechip master control STM32L4.
Therefore, the system of the embodiment continuously detects people and vehicles in the street lamp illumination range by utilizing the millimeter wave radar, acquires target information (whether the target exists or not, relative speed and relative movement direction) in the range in real time, and transmits sensing information to an Internet of things cloud platform built at the cloud end through a wireless network; the cloud platform of the Internet of things judges whether a target passes or not according to the perception information, and issues corresponding instructions to the street lamp control system to control the street lamp illumination brightness according to the decision result, meanwhile, the system feeds back the current state information of the street lamp to the cloud, and a remote management user can access the cloud platform of the Internet of things at any time to check the real-time state of the street lamp and support flexible adjustment of the street lamp control scheme and brightness setting of the system according to requirements.
A street lamp intelligent sensing and control method embodiment based on millimeter wave radar:
the traditional intelligent dimming method is used for independently controlling dimming according to the sensing and control equipment bound with the street lamp, does not have the linkage of street lamp illumination, and cannot meet the actual illumination requirement of a road section. In addition, although the current part of street lamp systems support the coordinated control of the street lamp groups, the street lamp control is relatively fixed, and the traditional algorithm has higher requirements on the perception of the street lamps and the logic complexity of control terminal equipment, so that the maintenance and the optimization of the system are not facilitated. Therefore, the traditional dimming algorithm lacks flexibility and expansibility, and is inapplicable in many different road segments.
The embodiment provides a street lamp intelligent sensing and control method based on millimeter wave radar, which is applied to the street lamp intelligent sensing and control system based on millimeter wave radar, and comprises the following steps:
two millimeter wave radar modules are additionally arranged on two sides of each street lamp, each millimeter wave radar module is provided with a unique equipment number, the unique equipment numbers are respectively expressed as sens_dev00_l and sens_dev00_r, and if a first millimeter wave radar detects a moving target in the left side range of the street lamp, the first millimeter wave module reports json data packets through a wireless network in an MQTT protocol;
setting the quality of service level of the MQTT to be QoS0 level in the process of reporting by the millimeter wave radar sensing module, and ensuring the rapid reporting of the next detection data under the QoS0 level;
reporting the sensing information to an Internet of things cloud platform by all millimeter wave radar sensing modules, and uniformly judging the sensing information in the sensing data of all devices by the Internet of things cloud platform according to a set illumination control mode, wherein the judgment comprises the steps of starting or closing an intelligent sensing mode according to an environment light intensity value, switching different intelligent modes according to a time period, controlling street lamp linkage and the like;
in an intelligent single-lamp dimming mode, the internet of things cloud platform automatically sends an initialization low-brightness instruction to the street lamp dimming control module;
detecting the perception data reported by all perception modules by the cloud platform of the Internet of things, and issuing a high-brightness illumination instruction to a street lamp dimming control module of a designated street lamp once a moving target around a certain street lamp is detected; the street lamp dimming control module feeds back the real-time updating state of the street lamp to the Internet of things cloud platform immediately after the dimming instruction is executed;
if the street lamp in the high-brightness illumination mode is started for 10 seconds and the target passing is not detected, the internet of things cloud platform sends out a low illumination control instruction, and the street lamp returns to an initialized low illumination state, wherein the duration support internet of things cloud platform is configurable.
The dev00 in the equipment number is the number of the installed binding street lamp, and l and r respectively represent the direction of the lighting road section of the street lamp facing the left side and the right side of the street lamp.
Wherein the json packet includes: { "dev_id": "sens_dev00_l", "lux":80 "," flag ": true", "speed":2.197}, wherein dev_id is a unique equipment identification number of equipment, lux is an analyzed current environment light intensity data value, flag is a mark for detecting whether a target passes or not, speed is a speed value of detecting the target by a millimeter wave radar, and if the speed value is a positive number, the direction of keeping the target away from the street lamp is indicated; if the number is negative, the target is close to the street lamp; if the value is 0.0, it means that the passing of the object is not detected temporarily.
Wherein initializing the low brightness instruction comprises: the main problem is "/devices/lights/control", the load content is { "status": "LOW", "coast": 0}, status is the lighting control instruction executed by the street lamp, and the lighting control instruction is issued by the internet of things cloud platform after decision calculation, and the instructions comprise: LOW, HIGH, OFF; the blaston is a control mode in which the street lamp is positioned when the device executes instructions: 0,1,2,3 respectively represent an intelligent control mode, a manual control mode, a server initialization mode, and a control device restart initialization mode.
Wherein, the high brightness illumination instruction includes: the main title is "/dev_id/lights/control", the load content is { "status": "HIGH", "reason":0}, wherein dev_id is the number of the street lamp where the device is located.
Setting a linkage dimming mode on the internet of things cloud platform, and sending a command for starting high illumination to the street lamp and the next street lamp by the internet of things cloud platform if a sensing module on one side of the street lamp senses that a target passes through in the linkage dimming mode; when the detection target passes, the high-brightness illumination of the two-rod or three-rod street lamp is started in a linkage way so as to meet the illumination requirements of different road sections.
In practical application, the intelligent sensing and dimming algorithm for the street lamp provided by the embodiment is as follows:
two millimeter wave radar modules are additionally arranged on two sides of each street lamp, each millimeter wave radar module is provided with a unique equipment number, such as sens_dev00_l (left) and sens_dev00_r (right), wherein dev00 in the equipment numbers is the number of the installed binding street lamp, and l and r respectively represent the direction from the street lamp illumination road section to the left side and the right side of the street lamp.
If the millimeter wave radar 1 detects that a person or a vehicle passes through the left side range of the street lamp, the millimeter wave radar module can report json data packets through a 4G network by using a stable and reliable MQTT protocol: { "dev_id": "sens_dev00_l", "lux":80 "," flag ": true": 2.197}, wherein dev_id is a unique device identification number of the device, lux is an analyzed current environment light intensity data value, flag is a sign of whether a target is detected to pass, speed is a speed value (km/h) of the target detected by the millimeter wave radar, and if the speed value is a positive number, the direction of the target far away from the street lamp is indicated; if the number is negative, the target is close to the street lamp; if the value is 0.0, this means that no passing of a person or vehicle is detected temporarily.
Because the data detected by each report has real-time performance, if the data is retransmitted again after the transmission is lost, the real-time performance of the data can be affected, and because the detected target is moved and changed at this time, the quality of service level of the MQTT is set to be QoS0 level in the process of reporting by the perception module, and under the QoS0 level, although the QoS0 level has no confirmation mechanism, the possibility that the message is lost in the transmission process exists, the release and the transmission of the message are the fastest and the lightest, the quick report of the next detection data can be ensured, and lower delay and network load are ensured.
All the sensing modules report sensing information to the cloud, and the cloud uniformly judges the sensing information in the sensing data of all the devices according to the illumination control mode set by the cloud platform, such as switching on or off the intelligent sensing mode according to the environment light intensity value, switching different intelligent modes according to the time period, and controlling the street lamp linkage.
Under intelligent single-lamp dimming mode, the internet of things cloud platform can automatically send an initialization low-brightness instruction to the street lamp dimming control module: the main problem is "/devices/lights/control", the load content is { "status": "LOW", "coast": 0}, status is the lighting control instruction executed by the street lamp, the instruction is issued by the server after decision calculation, the instruction includes: LOW, HIGH, OFF. Wherein, the reflection is the control mode that the street lamp is located when the equipment execution instruction: 0,1,2,3 respectively represent an intelligent control mode, a manual control mode, a server initialization mode, and a control device restart initialization mode.
And then, checking the perception data reported by all the perception modules, and once a person or a vehicle passes around a certain street lamp is detected, issuing a HIGH-brightness illumination instruction to a control module of the specified street lamp, wherein the theme is "/dev_id/lights/control", the load content is { "status": "HIGH", "coast": 0}, and dev_id is the number of the street lamp where the equipment is, such as dev00, dev01 and the like. The street lamp dimming control module immediately feeds back the real-time updating state of the street lamp to the Internet of things cloud platform after executing the dimming instruction, wherein the theme is/devices/lights/response, and the load content is { "dev_id": "ctrl_dev00_l", "status": "HIGH", "reflection": 0}.
If the high-illumination street lamp is started for 10 seconds and no target passing is detected, the cloud end sends out a low-illumination control instruction, the street lamp returns to an initialized low-illumination state, and the duration support Internet of things cloud platform is configurable.
The internet of things cloud platform supports to set linkage dimming modes, such as double-lamp linkage dimming and three-lamp linkage dimming, and the three-lamp linkage dimming is shown in fig. 5. In the linkage dimming mode, if a sensing module on one side of a street lamp senses that a person or a vehicle passes, the cloud platform of the Internet of things sends a command for starting high illumination to the street lamp and the next street lamp (in the forward direction of the person or the vehicle); when the detection target passes, the high-brightness illumination of the two-rod or three-rod street lamp is started in a linkage way so as to meet the illumination requirements of different road sections.
By the method, the cloud platform of the Internet of things carries out comprehensive decision judgment on the perception information detected by the street lamp perception module according to the corresponding control strategy, so that the algorithm logic complexity of the terminal of the Internet of things of the perception module and the dimming control module is greatly reduced, corresponding control modes can be set according to different illumination road sections, single street lamp and linkage stepless gradual dimming are supported, and the flexibility of the system is greatly improved.
Meanwhile, all parameters of the sensing module and the dimming control module can be configured through the Internet of things cloud platform, the parameters can be reused for road sections with the same attribute, and different road sections can be adjusted and set according to the reference parameter values. Therefore, the method has the advantage of strong expansibility.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but any insubstantial changes and substitutions made by those skilled in the art on the basis of the present invention are intended to be within the scope of the present invention as claimed.
Claims (10)
1. Street lamp intelligence perception and control system based on millimeter wave radar, characterized by comprising:
the system comprises a millimeter wave radar sensing module, a street lamp dimming control unit module, an Internet of things cloud platform and a remote management user module, wherein the millimeter wave radar sensing module is arranged at two sides of a street lamp and used for acquiring information such as relative speed, direction and the like of targets around the street lamp, transmitting acquired data to the Internet of things cloud platform, comprehensively deciding the data reported by the millimeter wave radar sensing module by the Internet of things cloud platform based on a street lamp control algorithm, and issuing corresponding dimming control instructions to the street lamp dimming control module according to decision results; the street lamp dimming control module is used for receiving and executing corresponding dimming control instructions, feeding back the executed street lamp state information to the Internet of things cloud platform for further street lamp state updating and street lamp energy consumption statistics, and the Internet of things cloud platform is used for calculating the street lamp energy consumption ratio and executing remote management operation to the remote management user module based on the fed back street lamp state information.
2. The system according to claim 1, wherein:
the millimeter wave radar sensing module comprises millimeter wave radars, illumination sensors, a first microprocessor and a first wireless communication module, wherein the millimeter wave radars are additionally arranged on two sides of the street lamp respectively and continuously and outwards detect, the millimeter wave radars are used for acquiring information such as relative speed and direction of targets around the street lamp, the illumination sensors are arranged in a matched mode with each street lamp and used for monitoring illumination intensity of surrounding environments of the street lamp in real time, and the microprocessor is respectively connected with the millimeter wave radars and the illumination sensors and used for sending data detected by the millimeter wave radars and the light intensity sensors to the cloud platform of the Internet of things according to the MQTT protocol of the wireless communication module for comprehensive decision judgment according to preset reporting time delay.
3. The system according to claim 1, wherein:
the street lamp dimming control module comprises a second microprocessor and a second wireless communication module, wherein the second microprocessor is used for receiving and executing corresponding dimming control instructions and feeding back street lamp state information to the Internet of things cloud platform through the second wireless communication module in real time so as to conduct further street lamp state updating and street lamp energy consumption statistics.
4. The system according to claim 1, wherein:
the remote management user module comprises a user module, a map positioning module, a monitoring module and a management module, wherein the user module comprises a user login function, a token authority check and a tourist mode; the map positioning module is used for checking the geographic positions of all street lamp systems and the specific numbers and positions of each street lamp; the monitoring module is used for acquiring real-time target perception information of the intelligent street lamp perception and control system and real-time brightness state information of the street lamp, and also used for checking an energy consumption statistical graph of the street lamp in real time; the management module is used for modifying the control mode of the set street lamps, controlling the illumination brightness of all street lamps or a certain street lamp, modifying the parameters of street lamp equipment and deriving a historical month/day energy consumption statistical graph.
5. The intelligent street lamp sensing and controlling method based on millimeter wave radar is characterized in that the method is applied to the intelligent street lamp sensing and controlling system based on millimeter wave radar as set forth in any one of claims 1 to 4, and the method comprises the following steps:
two millimeter wave radar modules are additionally arranged on two sides of each street lamp, each millimeter wave radar module is provided with a unique equipment number, the unique equipment numbers are respectively expressed as sens_dev00_l and sens_dev00_r, and if a first millimeter wave radar detects a moving target in the left side range of the street lamp, the first millimeter wave module reports json data packets through a wireless network in an MQTT protocol;
setting the quality of service level of the MQTT to be QoS0 level in the process of reporting by the millimeter wave radar sensing module, and ensuring the rapid reporting of the next detection data under the QoS0 level;
reporting the sensing information to an Internet of things cloud platform by all millimeter wave radar sensing modules, and uniformly judging the sensing information in the sensing data of all devices by the Internet of things cloud platform according to a set illumination control mode, wherein the judgment comprises the steps of starting or closing an intelligent sensing mode according to an environment light intensity value, switching different intelligent modes according to a time period, controlling street lamp linkage and the like;
in an intelligent single-lamp dimming mode, the internet of things cloud platform automatically sends an initialization low-brightness instruction to the street lamp dimming control module;
detecting the perception data reported by all perception modules by the cloud platform of the Internet of things, and issuing a high-brightness illumination instruction to a street lamp dimming control module of a designated street lamp once a moving target around a certain street lamp is detected; the street lamp dimming control module feeds back the real-time updating state of the street lamp to the Internet of things cloud platform immediately after the dimming instruction is executed;
if the street lamp in the high-brightness illumination mode is started for 10 seconds and the target passing is not detected, the internet of things cloud platform sends out a low illumination control instruction, and the street lamp returns to an initialized low illumination state, wherein the duration support internet of things cloud platform is configurable.
6. The method according to claim 5, wherein:
dev00 in the equipment number is the number of the installed binding street lamp, and l and r respectively represent the direction of the lighting road section of the street lamp facing the left side and the right side of the street lamp.
7. The method according to claim 5, wherein:
the json packet includes: { "dev_id": "sens_dev00_l", "lux":80 "," flag ": true", "speed":2.197}, wherein dev_id is a unique equipment identification number of equipment, lux is an analyzed current environment light intensity data value, flag is a mark for detecting whether a target passes or not, speed is a speed value of detecting the target by a millimeter wave radar, and if the speed value is a positive number, the direction of keeping the target away from the street lamp is indicated; if the number is negative, the target is close to the street lamp; if the value is 0.0, it means that the passing of the object is not detected temporarily.
8. The method according to claim 5, wherein:
initializing the low brightness instruction includes: the main problem is "/devices/lights/control", the load content is { "status": "LOW", "coast": 0}, status is the lighting control instruction executed by the street lamp, and the lighting control instruction is issued by the internet of things cloud platform after decision calculation, and the instructions comprise: LOW, HIGH, OFF; the blaston is a control mode in which the street lamp is positioned when the device executes instructions: 0,1,2,3 respectively represent an intelligent control mode, a manual control mode, a server initialization mode, and a control device restart initialization mode.
9. The method according to claim 5, wherein:
the high brightness illumination instruction includes: the main title is "/dev_id/lights/control", the load content is { "status": "HIGH", "reason":0}, wherein dev_id is the number of the street lamp where the device is located.
10. The method according to claim 5, wherein:
setting a linkage dimming mode on the internet of things cloud platform, and sending a command for starting high illumination to the street lamp and the next street lamp by the internet of things cloud platform if a sensing module on one side of the street lamp senses that a target passes through in the linkage dimming mode; when the detection target passes, the high-brightness illumination of the two-rod or three-rod street lamp is started in a linkage way so as to meet the illumination requirements of different road sections.
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| CN117750565B (en) * | 2024-02-20 | 2024-05-14 | 济南格林信息科技有限公司 | Lighting control system, method and lighting system |
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