CN111885526B - Earth skin perception system based on 5G intelligent lamp pole cluster and application method - Google Patents
Earth skin perception system based on 5G intelligent lamp pole cluster and application method Download PDFInfo
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- H—ELECTRICITY
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- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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Abstract
The invention relates to a 5G intelligent lamp pole cluster-based earth skin perception system and an application method, and the system comprises an environment monitoring network, a data interface layer, a signal conversion layer, an edge calculation layer and a 5G transmission layer which are sequentially connected, wherein the environment monitoring network comprises environment sensor groups distributed at various positions, acquires environment information and sends the environment information to the data interface layer; the data interface layer provides a data interface, performs unified processing on the acquired environmental information, and outputs the environmental information to the signal conversion layer through a network; the signal conversion layer performs uniform packaging processing on the data of the environmental information and converts the data into environmental data information in a uniform format; the edge computing layer carries out data processing on the environment data information locally to generate environment fusion data information; and the 5G transmission layer sends the environment fusion data information to the edge cloud according to the service requirement. Compared with the prior art, the invention has the advantages of clear structural network, expanded monitoring range and monitoring content of environmental data, real-time communication with the edge sensor base station and the like.
Description
Technical Field
The invention relates to the field of environmental monitoring, in particular to a global skin perception system based on a 5G intelligent lamp pole cluster and an application method.
Background
With the continuous development of AI technology and IoT technology, projects such as smart cities, smart parks, smart factories and the like are attracting more and more attention, and people are about to meet an era full of intelligence, more and more intelligent applications are appeared in our lives, and the production life style of people is changed. With the coming of the 5G era, data transmission is faster and more convenient, stability and reliability are greatly improved, time delay is continuously reduced, and possibility is provided for development and realization of interconnection of everything.
A number of AI and IoT dependent intelligent applications are currently emerging, with the goal of improving people's productive lifestyle and increasing living standards. However, these intelligent applications are developed without leaving the sensors, and various intelligent applications need to rely on the sensors to acquire various information. In order to facilitate the development of intelligent applications and accelerate the coming of the intelligent era, an intelligent sensor network is urgently needed, and data can be conveniently acquired, transmitted and processed. The existing sensor base stations are distributed according to main sites, monitored data are limited to main areas of cities, and base stations built in places such as streets are difficult to maintain and need to invest in a large amount of manpower and material resources. The intelligent lamp pole is one of the most probably intelligent devices widely distributed in the intelligent era, can be well used as a carrier of an intelligent sensor network, and enables the intelligent sensor network to be distributed in various regions and even become the 'earth perception skin'.
The prior art discloses an environmental state quantity acquisition system, which converts various types of acquired environmental data into network communication signals through an environmental management module, communicates with a monitoring host, and displays related environmental data. However, the edge sensor is not used for processing environmental data, the function is monotonous, the flexibility is not high, the data can only be processed on the monitoring host, and the data cannot be timely issued to the lower sensor base station.
Disclosure of Invention
The invention aims to overcome the defects of complex acquisition, transmission and processing of environmental data, low integration level and lack of communication with an edge sensor base station in the prior art, and provides a 5G intelligent lamp pole cluster-based earth skin perception system and an application method.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a skin perception system of earth based on 5G wisdom lamp pole cluster which characterized in that, includes environmental monitoring network, data interface layer, signal conversion layer, edge calculation layer and the 5G transmission layer that connects gradually, wherein:
the environment monitoring network comprises environment sensor groups distributed on intelligent lamp posts at all positions, environment information is collected and sent to a data interface layer, a single intelligent lamp post is used as an Agent monomer of the environment monitoring network, a Weino graph perception network is formed among a plurality of intelligent lamp posts, and Multi-mode information fusion and environment situation deduction based on big data are achieved according to a Multi-Agent algorithm;
the data interface layer is used for providing data interfaces for the sensors in the environment sensor groups, uniformly processing the environment information acquired by the sensors and outputting the environment information to the signal conversion layer through a network;
the signal conversion layer is used for carrying out uniform packaging processing on the data of the environment information after preprocessing and converting the data into environment data information with a uniform format;
the edge computing layer is used for carrying out data processing on the environment data information subjected to signal conversion locally to realize multi-mode data fusion and generate environment fusion data information;
the 5G transmission layer is used for wirelessly transmitting the environment fusion data information processed by the edge computing layer through a 5G communication technology and sending the environment fusion data information to the edge cloud according to the service requirement;
the environment monitoring network, the data interface layer, the signal conversion layer, the edge calculation layer and the 5G transmission layer are uniformly powered by the multi-mode power supply layer, and the environment information comprises environment meteorological information and environment visual information.
Further, the environmental meteorological information includes illumination intensity information, temperature information, humidity information, noise information, wind speed information, wind direction information, barometric pressure information, PM2.5 information, PM10 information, CO2Information and NO2And (4) information.
Further, the environment vision information is real-time monitoring information of a 360-degree environment image.
The environment monitoring network is a Voronoi diagram perception network based on a Lloyd algorithm, and the method specifically comprises the steps of forming a lamp post cluster according to a cascade scale area, randomly selecting k lamp posts, calculating the Voronoi diagrams of the k lamp posts, integrating each cell of the Voronoi diagram, calculating a mass center, and compressing nodes for collecting environment data.
The interface types of the data interface layer comprise RS-232, RS-485, USB3.0, a universal network interface, VGA, GPIB, optical fiber or wireless.
The preprocessing operation of the signal conversion layer comprises filtering processing, amplifying processing and conversion processing.
The input voltage of the multimode power supply layer is 220V alternating current, and the output voltage is 3.3V direct current, 5V direct current, 12V direct current or 24V direct current.
Furthermore, a switching power supply conversion module is arranged in the multi-mode power supply layer, 220V alternating current is converted into 24V direct current, and then the 24V direct current, the 5V direct current or the 12V direct current is converted by the chip.
The data processing operation locally performed by the edge computing layer comprises data storage and data operation.
An application method of a 5G intelligent lamp pole cluster-based earth skin perception system specifically comprises the following steps:
step S1: constructing a voronoi diagram perception network with a plurality of scales according to the node distribution condition of the intelligent lamp pole sensor;
step S2: fuzzy processing is carried out on the sensor data of the voronoi diagram perception network with the scales to a corresponding degree;
step S3: and subtracting the sensor data subjected to the fuzzy processing to obtain a difference, calculating an extreme value of the sensor data to obtain a representative intelligent lamp pole node, representing other nodes of the area to which the intelligent lamp pole node belongs, and displaying the environment condition of the area to which the intelligent lamp pole node belongs.
Compared with the prior art, the invention collects the environmental information by establishing the earth skin perception system based on the 5G intelligent lamp post cluster, has clear and simple structure network, collects the environmental meteorological information and the environmental image information of the corresponding area in real time, enlarges the monitoring range and the monitoring content of the environmental data, and increases the integration level of the monitoring equipment of a single base station. The environment fusion data processed by the edge computing layer are transmitted to the cloud control center or the edge sensor for analysis through the 5G transmission layer, the analysis result of the cloud control center is transmitted to the edge sensor in time for execution, the processing capacity of the environment data is improved, and the reaction time is shortened.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of a data interface layer according to the present invention;
FIG. 3 is a schematic diagram of the internal structure of a data interface layer according to the present invention;
FIG. 4 is a schematic diagram of an edge calculation layer according to the present invention.
Reference numerals:
1-an environment monitoring network; 2-a data interface layer; a 3-signal conversion layer; 4-edge calculation layer; 5-5G transport layer; 6-multimode power supply layer.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
As shown in figure 1, a system for sensing the earth skin based on 5G wisdom lamp pole cluster gathers the environmental meteorological information and the environmental image information of corresponding area in real time, enlarges monitoring range and monitoring content to environmental data, increases the integrated level of the monitoring facilities of single basic station, including environmental monitoring network, data interface layer, signal conversion layer, edge calculation layer and the 5G transmission layer that connect gradually, wherein:
the environment monitoring network comprises environment sensor groups distributed on intelligent lamp posts at all positions, environment information is collected and sent to a data interface layer, a single intelligent lamp post is used as an Agent monomer of the environment monitoring network, a Weino graph perception network is formed among a plurality of intelligent lamp posts, and Multi-mode information fusion and environment situation deduction based on big data are achieved according to a Multi-Agent algorithm;
as shown in fig. 2 and 3, the data interface layer provides a data interface for each sensor in each environmental sensor group, performs uniform processing on environmental information collected by the sensors, and outputs the environmental information to the signal conversion layer through a network;
the signal conversion layer is used for carrying out uniform packaging processing on the data of the environment information after preprocessing and converting the data into environment data information with a uniform format;
as shown in fig. 4, the edge computing layer performs data processing on the environment data information subjected to signal conversion locally, so as to implement multi-modal data fusion and generate environment fusion data information;
the 5G transmission layer is used for wirelessly transmitting the environment fusion data information processed by the edge computing layer through a 5G communication technology and sending the environment fusion data information to the edge cloud according to the service requirement;
the environment monitoring network, the data interface layer, the signal conversion layer, the edge calculation layer and the 5G transmission layer are uniformly powered by the multi-mode power supply layer.
The environmental information includes environmental weather information and environmental visual information.
The environmental meteorological information comprises illumination intensity information, temperature information, humidity information, noise information, wind speed information, wind direction information, atmospheric pressure information, PM2.5 information, PM10 information, CO information, and CO2Information and NO2The information and the environmental visual information are real-time monitoring information of 360-degree environmental images.
The environment monitoring network is a Voronoi diagram perception network based on a Lloyd algorithm, and a Multi-Agent of a lamp post cluster is constructed by combining a Multi-Agent theory to realize Multi-mode mass information fusion, and the specific steps comprise randomly selecting a certain number of intelligent lamp post sensor nodes from the interior of a selected area, wherein the corresponding number is determined according to the number of area blocks to be divided and is marked as n; randomly extracting k nodes from the selected n nodes as initial lamp post nodes, constructing a super triangle comprising all k initial nodes, sequentially selecting nodes from the n nodes to insert, wherein the inserted lamp post nodes are positioned in a triangle in an external circle area, and the fixed points of the triangle and the inserted nodes jointly construct a new triangle, and so on until all the nodes are inserted; a triangular net is formed through the process, the centers of the circumscribed circles of all the small triangles are searched, if the three sides of the current triangle are all shared with other triangles, the centers of the circumscribed circles of the triangle are connected, and otherwise, the outermost perpendicular bisector ray is constructed. Through the process, the selected area can be divided into a certain number of different area blocks by using the Voronoi diagram, and the centroid of the area block or the node closest to the centroid is used as the representation node of the area.
As shown in FIG. 2, the interface types of the input interface of the data interface layer include RS-232, RS-485, USB3.0, general network interface, VGA, GPIB, optical fiber or wireless.
The preprocessing operations of the signal conversion layer, including the filtering process, the amplification process, and the conversion process, are provided in the microprocessor of the data interface layer as shown in fig. 3 or on a processor located behind the data interface layer.
And the signal conversion layer expands or deletes the data format which needs to be subjected to data encapsulation according to the requirements of different areas and different scenes.
The input voltage of the multimode power supply layer is 220V alternating current, and the output voltage is 3.3V direct current, 5V direct current, 12V direct current or 24V direct current.
A switching power supply conversion module is arranged in the multi-mode power supply layer and used for converting 220V alternating current into 24V direct current and converting the 24V direct current into 3.3V direct current, 5V direct current or 12V direct current through a chip. The types of chips include LM317, LM2596, and AMS 1117.
The collected environmental meteorological information data and the camera real-time monitoring data are transmitted through the Ethernet after being processed by the data interface layer and the signal conversion layer, and are connected to the edge calculation processor of the edge calculation layer. And the edge computing processor performs data processing on the received data locally according to specific service requirements to realize corresponding functions. The data processing operation locally performed by the edge computing layer comprises data storage and data operation.
An application method of a 5G intelligent lamp pole cluster-based earth skin perception system specifically comprises the following steps:
step S1: constructing a voronoi diagram perception network with a plurality of scales according to the node distribution condition of the intelligent lamp pole sensor;
step S2: fuzzy processing is carried out on sensor data of the voronoi diagram perception network with a plurality of scales to a corresponding degree;
step S3: and subtracting the sensor data subjected to fuzzy processing to obtain a difference, calculating an extreme value of the sensor data to obtain a representative intelligent lamp pole node, representing other nodes of the area to which the intelligent lamp pole node belongs, and displaying the environment condition of the area to which the intelligent lamp pole node belongs.
Since the region divided using the voronoi diagram is closest in distance to the point in step S1, the point may be used to represent the data of the divided region; dividing the sensor nodes in the region by the voronoi diagram, and taking the centroid of each divided block or the node closest to the centroid as the representation node of the block region; through dividing the block of different quantity, can obtain the expression node of different quantity, that is to say that the wisdom lamp pole sensor network of different scales is used to express current regional environmental information.
In step S2, the data of the obtained different numbers of nodes are processed by gaussian fuzzy or other fuzzy functions to obtain the environment condition of a certain area represented by the different numbers of nodes, and for the same number of nodes, the data processed by fuzzy functions of different degrees are also obtained.
Example one
In the environment monitoring network, an analog quantity output device is adopted as a temperature sensor, an I2C communication module is adopted as a humidity sensor, a UART communication module is adopted as a PM2.5 sensor, an SPI communication module is adopted as a CO2 sensor, an RS485 device is adopted as an illumination sensor, and an Ethernet interface is adopted as environment visual information.
The microprocessor of the data interface layer is a raspberry pi 4b microprocessor. The signal that temperature sensor output passes through RS485 converting circuit and converts into the RS485 signal, is connected to microprocessor through MAX485 chip conversion. Humidity sensors, PM2.5 sensors, CO2 sensors are also connected to the raspberry pi microprocessor. The illumination sensor is connected to the microprocessor through a MAX485 chip. The camera is connected to the microprocessor through an Ethernet interface. The microprocessor processes the data of each sensor and then is directly connected to the edge computing layer through the Ethernet interface.
In addition, it should be noted that the specific embodiments described in the present specification may have different names, and the above descriptions in the present specification are only illustrations of the structures of the present invention. All equivalent or simple changes in the structure, characteristics and principles of the invention are included in the protection scope of the invention. Various modifications or additions may be made to the described embodiments or methods may be similarly employed by those skilled in the art without departing from the scope of the invention as defined in the appending claims.
Claims (7)
1. The utility model provides a skin perception system of earth based on 5G wisdom lamp pole cluster which characterized in that, includes environmental monitoring network, data interface layer, signal conversion layer, edge calculation layer and the 5G transmission layer that connects gradually, wherein:
the environment monitoring network comprises environment sensor groups distributed on intelligent lamp posts at all positions, environment information is collected and sent to a data interface layer, a single intelligent lamp post is used as an Agent monomer of the environment monitoring network, a Weino graph perception network is formed among a plurality of intelligent lamp posts, and Multi-mode information fusion and environment situation deduction based on big data are achieved according to a Multi-Agent algorithm;
the data interface layer is used for providing data interfaces for the sensors in the environment sensor groups, uniformly processing the environment information acquired by the sensors and outputting the environment information to the signal conversion layer through a network;
the signal conversion layer is used for carrying out uniform packaging processing on the data of the environment information after preprocessing and converting the data into environment data information with a uniform format;
the edge computing layer is used for carrying out data processing on the environment data information subjected to signal conversion locally to realize multi-mode data fusion and generate environment fusion data information;
the 5G transmission layer is used for wirelessly transmitting the environment fusion data information processed by the edge computing layer through a 5G communication technology and sending the environment fusion data information to the edge cloud according to the service requirement;
the environment monitoring network, the data interface layer, the signal conversion layer, the edge calculation layer and the 5G transmission layer are uniformly powered by the multi-mode power supply layer;
the environmental information comprises environmental meteorological information and environmental visual information, and the environmental meteorological information comprises illumination intensity information, temperature information, humidity information, noise information, wind speed information, wind direction information, atmospheric pressure information, PM2.5 information, PM10 information, CO2Information and NO2The environment visual information is real-time monitoring information of a 360-degree environment image;
an application method of a global skin perception system based on a 5G intelligent lamp pole cluster specifically comprises the following steps:
step S1: constructing a voronoi diagram perception network with a plurality of scales according to the node distribution condition of the intelligent lamp pole sensor;
step S2: fuzzy processing is carried out on the sensor data of the voronoi diagram perception network with the scales to a corresponding degree;
step S3: and subtracting the sensor data subjected to the fuzzy processing to obtain a difference, calculating an extreme value of the sensor data to obtain a representative intelligent lamp pole node, representing other nodes of the area to which the intelligent lamp pole node belongs, and displaying the environment condition of the area to which the intelligent lamp pole node belongs.
2. The system as claimed in claim 1, wherein the voronoi diagram perception network of the environment monitoring network is a voronoi diagram perception network based on a Lloyd algorithm, and the method comprises the steps of forming a lamp post cluster according to cascade scale areas, randomly selecting k lamp posts, calculating voronoi diagrams of the k lamp posts, integrating each cell of the voronoi diagram, calculating a center of mass, and compressing nodes for collecting environment data.
3. The earth skin perception system based on the 5G smart lamp post cluster as claimed in claim 1, wherein the interface types of the data interface layer include RS-232, RS-485, USB3.0, general network interface, VGA, GPIB, optical fiber or wireless.
4. The system as claimed in claim 1, wherein the preprocessing operations of the signal conversion layer include filtering, amplifying and converting.
5. The system as claimed in claim 1, wherein the multimode power layer has an input voltage of 220V ac and an output voltage of 3.3V dc, 5V dc, 12V dc or 24V dc.
6. The system as claimed in claim 5, wherein a switching power conversion module is disposed in the multi-mode power supply layer to convert 220V AC power to 24V DC power, and then the conversion is performed by a chip to 3.3V DC power, 5V DC power or 12V DC power.
7. The system as claimed in claim 1, wherein the data processing operations performed locally by the edge computing layer include data storage and data computation.
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| CN112988392A (en) * | 2021-04-09 | 2021-06-18 | 江苏安岚特智能科技有限公司 | Intelligent lamp pole data analysis method based on edge lightweight computing |
| CN113780426B (en) * | 2021-09-14 | 2023-06-30 | 中国联合网络通信集团有限公司 | Multi-mode information fusion method, MEC, mode information acquisition unit and system |
| CN114051301A (en) * | 2021-11-19 | 2022-02-15 | 中科智城(广州)信息科技有限公司 | Intelligent street lamp unified supervision system |
| CN115118742A (en) * | 2022-05-06 | 2022-09-27 | 中国标准化研究院 | Management platform remote monitoring equipment based on wisdom lamp pole |
| CN114882676B (en) * | 2022-07-12 | 2022-11-01 | 云南华尔贝光电技术有限公司 | Intelligent monitoring and early warning method and system based on intelligent pole under multiple scenes |
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