CN105959380A - LED cloud street lamp intelligent control and decision making system based on Internet of Things - Google Patents
LED cloud street lamp intelligent control and decision making system based on Internet of Things Download PDFInfo
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Abstract
The invention provides an LED cloud street lamp intelligent control and decision making system based on Internet of Things. The LED cloud street lamp intelligent control and decision making system based on Internet of Things is characterized in that novel efficient energy saving light source LED lamps are used based on a current street lamp control system; an intelligent chip is arranged in each street lamp to name and identify the street lamp; the Internet of Things wireless sensing technology is used to perform data communication between lamps so as to connect the lamps to form a controllable street lamp network, and then the controllable street lamp network is connected with a cloud computing center through a stable Internet of Things communication technology, and automatically sets a optimal illumination scheme by means of background data processing and a control program and according to the factors, such as the local latitude and longitude, the climate, the light and the traffic, so that remote single lamp control, real-time control, adaptive adjusting, early warning of faults and the like can be realized; and the data, such as the environment data, acquired by the street lamps, can be transmitted to the cloud computing platform in the wireless mode, and then an optimal illumination adjusting scheme is generated through intelligent computing analysis and judgment of the acquired data, so that the Illumination As Required adaptive management function can be realized.
Description
Technical Field
The invention belongs to the technical field of smart cities, and particularly relates to an LED cloud street lamp intelligent control and decision system based on the Internet of things.
Background
The intelligent management of street lamp control is one of the works with the highest technical content and the highest difficulty in city management, and the economic strength, the humanistic characteristics and the modernization level of a city are reflected to a great extent. As the street lamps are distributed on various roads in the whole city, the operation management requirement is high, the workload is large, and after the street lamps are built, the management and the maintenance of the street lamps need large manpower and material resources. In order to reduce the running management cost of the street lamp, improve the lighting rate and achieve the purposes of saving electric power and prolonging the service life of the lamp, a street lamp management department is required to monitor the running state of the street lamp in real time and configure lighting, turning-off time and power change and brightness adjustment in time according to actual needs; and when the operating line has a fault, the maintenance personnel is informed in time, so that the maintenance management personnel can carry out maintenance purposefully. For example, in a large city after 2 am, a small city after 9 pm, pedestrians and vehicles are rare on the road, and it is obviously unnecessary to maintain high-intensity illumination. Statistically, in the lighting power consumption of China, the road lighting accounts for nearly 0.3, about 439 hundred million kWh, and the road lighting costs 285 million yuan per year in the calculation of the average electricity price of 0.65 yuan/kWh. In order to save expenses, the laggard idea of turning off the lamps at different seasons becomes an energy-saving method in most areas of China, but the method not only causes uneven distribution of illumination, but also causes the voltage of a late midnight power grid to rise, and the lamp causes great damage.
International major companies are currently starting to research and develop LED intelligent street lamp systems. For example, citecum, a city lighting management group in france, develops a LUXICOM single-lamp remote monitoring system, which controls a single lamp through a carrier current information transmission technology, but is limited to single-lamp control management, and philips is currently starting a city touch intelligent street lamp control system project, and attempts to develop towards intelligent street lamp management. Because the types of the illumination products on the market are various at present, if all the equipment are required to be products of the same manufacturer, or one system can only be matched with all the products of the same manufacturer, the situation is not met, and in addition, no standard exists in the market of street lamp control systems, the street lamp control systems built in various regions cannot exchange data, and an information isolated island is formed.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an intelligent control and decision system of an LED cloud street lamp based on the Internet of things, which can realize intelligent remote control of the street lamp and can be used by different users through the Internet or the mobile Internet on a cloud computing platform.
The invention is realized by the following technical scheme:
an LED cloud street lamp intelligent control and decision making system based on the Internet of things runs on a cloud computing platform and comprises a field controller, a wireless terminal and a monitoring center; wherein,
the field controller comprises a single chip microcomputer, a first ZigBee module and a first cellular communication module, wherein the first ZigBee module is responsible for information transmission with all wireless terminals in the road section, the received data are forwarded to the single chip microcomputer for processing, or the data from the single chip microcomputer are sent to all the wireless terminals or a certain wireless terminal, and the first cellular communication module is responsible for data transmission between the field controller and the monitoring center;
the wireless terminal comprises a second ZigBee module, a second cellular communication module, a sensor, an LED street lamp and a control circuit, is an execution part of a control function in the street lamp monitoring system, and also completes the work of signal acquisition in a detection function; through a network built by the second ZigBee module, the wireless terminal receives a command sent by the field controller and exchanges data with the field controller, the sensor senses the surrounding environment, collects traffic flow and rain and fog environment data, and adaptively adjusts and controls the illumination state of the LED street lamp;
the monitoring center operates an intelligent decision support subsystem, the intelligent decision support subsystem organizes and summarizes data of a bottom basic service database by using a data warehouse technology, models and analyzes the data in the data warehouse through a data mining and multidimensional data analysis technology to generate information helpful for a user management decision, presents the information to the user in various visual graphical display modes and assists the user in carrying out the management decision, wherein the data in the data warehouse comprises the data collected by the wireless terminal.
Further, the LED street lamps and the LED street lamps form a lamp network through the second Zigbee module.
Further, the system implements the following functions: the LED control functions include: brightness and shade degree, color display, control of lighting and extinguishing time and lighting and extinguishing arrangement; the intelligent management functions include: automatic modulation, information acquisition and data storage; the operation monitoring function includes: street lamp status, flow status. The system query comprises a query of public information and specific information; the fault processing comprises the following steps: fault detection, fault alarm and automatic obstacle avoidance; the system management comprises the following steps: system setup, system maintenance, and system upgrade.
Further, the public information includes temperature, illumination, carbon dioxide concentration and traffic flow, and the specific information refers to analysis curves and reports of voltage, current, lighting rate, switching time and the like of the LED lamp set generated by the management program.
Further, the system also comprises a router, wherein the router is connected with the field controller and the wireless terminal; the field controller is used for establishing and configuring a network, and is responsible for normal work of the network and communication between the network and other equipment; the router is a device used for forwarding messages, and is used for increasing the network coverage and ensuring the stability of wireless communication; firstly, the router receives the signal from the wireless terminal after joining the network established by the site controller, then sends the signal to the site controller, and simultaneously receives the command from the site controller and forwards the command to the wireless terminal.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a hardware circuit diagram of an LED street lamp of the wireless terminal;
FIG. 3 is a schematic diagram of a wireless network structure of the street lamp of the present invention;
FIG. 4 is an architectural diagram of an intelligent decision support subsystem.
Detailed Description
The invention is further described with reference to the following description and embodiments in conjunction with the accompanying drawings.
An intelligent control and decision-making system of LED cloud street lamps based on the Internet of things is characterized in that a novel high-efficiency energy-saving light source LED lamp is adopted on the basis of the existing street lamp control system, an intelligent chip is installed in each street lamp, naming and identifying the street lamps, simultaneously using the wireless sensing technology of the Internet of things to carry out data communication between the lamps and connecting the lamps into a controllable street lamp network, then, the system is connected with a cloud computing center by means of a stable Internet of things communication technology, and through a background data processing and control program, automatically setting an optimal lighting scheme according to factors such as local longitude and latitude, climate, light, traffic and the like, realizing remote single-lamp control, real-time control, self-adaptive adjustment, fault early warning and the like, and the data such as environment collected by the street lamp are transmitted back to the cloud computing platform in a wireless mode, and the optimal lighting adjusting scheme is generated through intelligent computing analysis and judgment, so that the self-adaptive management function of lighting on demand is achieved.
The system of the invention mainly realizes the following functions:
the LED control functions mainly include: brightness, color display, control of on-off time and on-off arrangement. The intelligent management comprises the following steps: automatic modulation, information acquisition and data storage. The operation monitoring function includes: street lamp status, flow status. The system query comprises the query of public information and specific information, the public information queries information such as temperature, illumination, carbon dioxide concentration, traffic flow and the like, and the specific information refers to analysis curves and reports of voltage, current, lighting rate, switching time and the like of the LED lamp set generated by the management program. The fault processing comprises the following steps: fault detection, fault alarm and automatic obstacle avoidance. The system management comprises the following steps: system setup, system maintenance, and system upgrade.
As shown in fig. 1, the intelligent control and decision system for the LED cloud street lamp based on the internet of things can be divided into three major parts: the system comprises a field controller, a wireless terminal and a monitoring center.
The field controller consists of a singlechip, a ZigBee module, a cellular communication module (GPRS module in the figure) and the like, is based on a UC/OS II operating system, and is stable and reliable in operation.
The ZigBee module is responsible for information transmission with the wireless terminals on all street lamps in the road section, and forwards the received data to the single chip microcomputer for processing, or wirelessly sends the data from the single chip microcomputer to all other wireless terminals or a certain wireless terminal, so that the detection and control of the street lamps are realized. The single chip can process the detection and control data and display the data through the LED street lamp, thereby playing the role of intelligent control. And the GPRS module is responsible for data transmission between the field controller and the monitoring center.
The field controller can actively report various states and detection data received from the wireless terminal to the monitoring center according to a preset time period. When the field controller detects that a certain street lamp has an emergent fault (such as power supply and power failure, abnormal current value and the like), the field controller reports the fault information to the monitoring center in an active reporting mode.
The wireless terminal comprises a ZigBee module, a cellular communication module (GPRS module in the figure), an antenna, various sensors, an LED street lamp, a control circuit and the like. The street lamp monitoring system is an execution part of a control function in the street lamp monitoring system, and meanwhile, the work of signal acquisition and the like in a detection function is also finished. Through the network built by the ZigBee module, the wireless terminal can receive the command sent by the field controller and exchange data with the field controller. The intelligent sensor is integrated into the LED lamp source, the sensor senses the surrounding environment, collects data such as traffic flow, rain and fog environment and the like, and the illumination state of the LED street lamp is adaptively adjusted and controlled. Meanwhile, the lamps form a lamp network through a Zigbee wireless communication mode.
As shown in fig. 2, the LED street lamp hardware circuit of the wireless terminal includes a dc regulated power supply circuit module, an LED detection module, and a CC 2430. The 220V alternating current is subjected to voltage reduction by a transformer to obtain 9V alternating current, and then is subjected to full-wave rectification by a rectifier bridge of a direct current stabilized power supply, and the stable 5V direct current power supply is obtained after capacitance filtering and voltage stabilization. Except for providing a 5V direct-current power supply for the LED detection circuit, the Zigbee chip needs 3.3V direct-current voltage, so that a three-terminal regulator is needed to convert the 5V voltage into the 3.3V direct-current power supply. The alternating current drives the LED street lamp through the LED driving circuit, meanwhile, the control circuit is realized by directly controlling the relay through the processor of the CC2430, each street lamp is controlled by an independent relay, and the LED street lamp is easy to realize and simple to operate. When the photosensitive circuit detects the brightness of light, a detection signal is input to the CC2430, and then the CC2430 outputs a control signal to determine the voltage between the B pole and the E pole of the NPN type triode and control whether the triode is conducted or not, so that the opening and closing of the relay are controlled, and the purpose of controlling the switch of the street lamp is achieved.
ZigBee supports 3 network topologies of communication devices, namely Star, Mesh and Cluster Tree. The Star (Star) network is a commonly used network suitable for long-term operation and use operation; the Mesh network is a high-reliability detection network, can provide a plurality of data communication channels through wireless network connection, namely is a high-level redundancy network, and once equipment data communication fails, another path for data communication exists; the Cluster Tree network is a hybrid topology of Star/Mesh, and combines the advantages of the two topologies.
The invention adopts the mode of combining the ZigBee and the GPRS, takes the advantages and disadvantages of the ZigBee and the GPRS into overall consideration, reduces the cost, reduces the difficulty of networking and enhances the safety of the network, and simultaneously utilizes the advantages of high GPRS transmission rate and wide coverage range, effectively solves the problem of quick transmission of a large amount of data, is connected with the Internet and realizes remote control.
As shown in fig. 3, the LED street lamp wireless network based on the Zigbee technology is composed of a terminal node, a router, and a network coordinator, and performs data forwarding through the router to wirelessly connect the terminal node and the network coordinator. And a network coordinator, namely a field controller.
The network coordinator plays a role of monitoring the whole network and comprises a plurality of routers and terminal nodes. It is a device that establishes and configures a network, and is responsible for the normal operation of the network and for maintaining communication between the network and other devices. Firstly, a network coordinator establishes a wireless network, monitors wireless signals in the network, receives requests of other devices for joining the network, and simultaneously sends instructions to other nodes to control the whole network.
The router is a device used for forwarding messages, and is used for increasing the network coverage and ensuring the stability of wireless communication. Firstly, the router receives the signal from the terminal node after joining the network established by the network coordinator, then sends the signal to the network coordinator, and simultaneously receives the command from the network coordinator and forwards the command to the terminal node. The router is used as a wireless control repeater to expand the network capacity and increase the network coverage, and meanwhile, the router can also be used as a terminal node to control the on-off of the street lamp. When the whole system works normally, the router receives the control signal of the network coordinator and forwards the control signal to the next node so as to control the working state of the street lamp.
The routing node is installed on the street lamp pole, plays the effect that control street lamp is energy-conserving and be the information relay of other nodes. The street lamp is used as a terminal device, can execute relevant functions of the street lamp, and can communicate with other devices through a network without maintaining complex network information. The terminal equipment can only forward the communication of other equipment through the router. The street lamp controllers in all subnetworks of the system communicate by adopting a ZigBee protocol without communication cost, the field controller adopts a GPRS data transmission terminal, the ZigBee protocol is adopted in the subnetworks to communicate with the street lamp controllers, and the system center communicates through GPRS. The ZigBee network coordinator is responsible for establishing a network and a management network to form a ZigBee substation, and the monitoring center is connected with the ZigBee subnet through a GPRS network.
At present, smart road lighting system projects need to be built all over the country, however, each project is often isolated, an independent background control system needs to be built, a server system needs to be built, and systems of different projects cannot be communicated with each other and cannot be mutually communicated with other smart city applications, so that a street lamp management and control system needs to be unified, and for a merchant, the intelligent LED street lamp control and decision system running on a cloud computing platform can be used through the Internet or a mobile Internet without investing hardware and corresponding system development cost. Therefore, the control system of the invention is operated on a cloud computing platform, the bottom layer of the system adopts a cloud computing architecture, and the cloud computing architecture adopts three main processes, including:
1) construction of cloud computing platform
A cloud computing platform capable of working physically is designed and built, the work mainly comprises design, installation and debugging of a server, a network and storage, and installation and setting of corresponding platform software are assisted. After the stage is completed, some simple atomic operations, such as creation, modification, maintenance and the like of virtual resources, can be manually realized one by one on the cloud computing platform.
In terms of hardware structure, the cloud computing platform can be divided into three parts, namely a server, a storage part, a network part and the like. Depending on the processor architecture, servers can also be classified into x86 series, HP IA64 chip series, and so on.
In terms of software, a basic cloud computing platform mainly requires various virtualization kits, monitoring software, configuration management software, backup/recovery software, and the like. The monitoring, configuration, backup, etc. software used by servers of different processor architectures may be the same or different. In addition, some necessary security software is needed to solve the security requirement of the cloud computing platform by the project.
2) Deployment of cloud management platform
After the construction stage of the cloud computing platform is completed, each component of the cloud computing platform can work independently. But at this time, the cloud computing platform is still only in a loosely coupled stage, and there is no integration. To accomplish any one simple business operation, a series of commands may need to be manually run in different ways on different platforms. The entire process can be lengthy and cumbersome and is very prone to error. Therefore, the cloud management platform still needs to be deployed to meet the service characteristics of the system.
The operation at the stage is mainly to install a management program of the cloud computing platform for the built cloud computing platform according to the service characteristics of the project. After the stage is completed, a system administrator can control the whole cloud computing platform through a unified platform. Operations on the cloud computing platform will also be encapsulated into different sets of business, no longer just in units of atomic operations.
3) Application migration
After the cloud computing platform is stably put into operation, a third stage may be considered, that is, the application originally running on the pure physical platform is migrated to the cloud computing platform in batches by stages, and service switching is performed. In this phase, the cloud computing platform will gradually be based on the physical machine platform completely, and provide powerful platform support for the business of the enterprise.
Under the condition of resource shortage, the physical machine with the application migrated away can be gradually taken into the management range of the cloud computing platform to be a part of the resource pool. In this way, enterprises can gradually start to build the cloud computing platform at relatively low cost.
After the cloud computing platform is on-line, a process of migrating the existing application to the cloud computing platform exists. Only when the application is migrated to the cloud computing platform, the function of the cloud computing platform can be better played.
The specific steps taken will vary widely depending on the nature of the application. In general, we will first evaluate each current application, and select the business application to be migrated according to the characteristics of each application. The selected application should then be carefully analyzed and a rough plan tailored to the migration of the application is made. This scheme may be verified on a test environment of the cloud computing platform. If the scheme can be tested to pass, the details of the migration scheme, the rollback scheme after failure, and the like need to be further confirmed. Finally, the migration is performed. And if the migration fails, rolling back according to a rolling back plan, and analyzing the failure reason.
Aiming at some decision problems in work such as street lamp management, maintenance and the like, for example, by finding out problems, solving problems and analyzing problems, corresponding data extraction, data preprocessing, data analysis and data mining technologies are designed and developed to form a set of intelligent decision support subsystems facing street lamp management, and the intelligent decision support subsystems can be used for carrying out statistical analysis and judgment on existing data, for example, the future illumination intensity of street lamps can be predicted according to the traffic flow of the previous month.
The monitoring center operates the intelligent decision support subsystem of the invention, the intelligent decision support subsystem organizes and summarizes the data of the underlying basic service database by using a data warehouse technology, models and analyzes the data in the data warehouse by using a data mining and multidimensional data analysis technology to generate information helpful for the management decision of the user, and presents the information to the user in various visual graphical display modes to assist the user in the management decision.
The intelligent decision support subsystem comprises four layers, namely a basic service data layer, a data warehouse layer, a comprehensive data analysis layer and a graphical display layer from bottom to top. As shown in fig. 4, wherein, (1) the basic service data layer includes a plurality of different user data as data sources of the subsystem; (2) the data warehouse layer organizes and arranges the data of the business database layer according to the analysis theme, so that the data analysis and query of higher layers are facilitated; (3) the comprehensive data analysis layer establishes a corresponding data mining or multidimensional data analysis model aiming at a specific decision analysis task, and further analyzes data of the data warehouse layer by data analysis means such as clustering, classification, association analysis and the like to obtain information which is beneficial to high-level decision; (4) the graphical display layer provides various different types of graphs, and graphically displays the information generated by the comprehensive data analysis layer, so that a user can conveniently view and find the information which is helpful for decision management.
And (3) a data mining execution process: (1) carrying out technical processing such as cleaning, integration and transformation on the data around the determined subjects so as to eliminate noise and correct inconsistency in the data, and finally loading the data into a data warehouse; (2) and selecting a proper algorithm on the basis of data sorting to construct a data mining model. Obtaining valuable prediction results from target data; (3) and analyzing and verifying the result, selecting the optimal data mining model, and applying the optimal data mining model to practical problems, thereby ensuring the reliability and the practicability of the selected model.
In the process of actual data mining, the steps cannot be successful at one time, and the system can repeatedly run some steps according to the purpose and the precision required by the actual problem and timely adjust the parameters of the data mining model until the requirements are met.
The main features and innovations of the invention are mainly embodied in the following five aspects:
1) the LED replaces the traditional high-pressure sodium lamp, has the characteristics of energy conservation, environmental protection, long service life, small volume and the like, is called as a fourth generation lighting source or a green light source which can reduce the emission of carbon dioxide quickly and effectively except for renewable energy sources such as solar energy and the like, and really responds to the target pursuit of low-carbon economy.
2) The GPRS wireless communication module which has the advantages of low power consumption, reliable data transmission, large network capacity, strong compatibility, low realization cost and flexible working frequency band, is applied to the intelligent control LED street lamp system which is released, popularized and applied in a large scale, and has the advantages of wide coverage area and high network access speed, seamless connection with the existing data network, high network reliability, good confidentiality and good stability is provided, so that the cost is moderate.
3) The intelligent control LED street lamp system can realize the functions which cannot be realized by the traditional street lamps such as brightness, color display, control of on-off time, on-off arrangement and the like, and practically meets the public requirements for the street lamp system. The control management system really achieves the purposes of street lamp troubleshooting and remote control through the ZigBee and GPRS wireless communication module.
4) The sensor and other equipment are arranged in the street lamp system, so that data such as traffic flow, rain and fog environment and the like can be collected, and the illumination state of the LED street lamp can be adaptively adjusted and controlled.
5) The cloud storage and the inquiry of data, the intelligent control LED street lamp system can realize the function of storing and inquiring product information of each street lamp, so that the monitoring of the working state of the street lamps can be effectively realized. Meanwhile, data mining is carried out through the collected mass data, and decision making is assisted and managed.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (5)
1. The utility model provides a LED cloud street lamp intelligent control and decision-making system based on thing networking which characterized in that: the system runs on a cloud computing platform and comprises a field controller, a wireless terminal and a monitoring center; wherein,
the field controller comprises a single chip microcomputer, a first ZigBee module and a first cellular communication module, wherein the first ZigBee module is responsible for information transmission with all wireless terminals in the road section, the received data are forwarded to the single chip microcomputer for processing, or the data from the single chip microcomputer are sent to all the wireless terminals or a certain wireless terminal, and the first cellular communication module is responsible for data transmission between the field controller and the monitoring center;
the wireless terminal comprises a second ZigBee module, a second cellular communication module, a sensor, an LED street lamp and a control circuit, is an execution part of a control function in the street lamp monitoring system, and also completes the work of signal acquisition in a detection function; through a network built by the second ZigBee module, the wireless terminal receives a command sent by the field controller and exchanges data with the field controller, the sensor senses the surrounding environment, collects traffic flow and rain and fog environment data, and adaptively adjusts and controls the illumination state of the LED street lamp;
the monitoring center operates an intelligent decision support subsystem, the intelligent decision support subsystem organizes and summarizes data of a bottom basic service database by using a data warehouse technology, models and analyzes the data in the data warehouse through a data mining and multidimensional data analysis technology to generate information helpful for a user management decision, presents the information to the user in various visual graphical display modes and assists the user in carrying out the management decision, wherein the data in the data warehouse comprises the data collected by the wireless terminal.
2. The system of claim 1, wherein: the LED street lamps and the LED street lamps form a lamp network through the second Zigbee module.
3. The system of claim 1, wherein: the system implements the following functions: the LED control functions include: brightness and shade degree, color display, control of lighting and extinguishing time and lighting and extinguishing arrangement; the intelligent management functions include: automatic modulation, information acquisition and data storage; the operation monitoring function includes: street lamp status, flow status. The system query comprises a query of public information and specific information; the fault processing comprises the following steps: fault detection, fault alarm and automatic obstacle avoidance; the system management comprises the following steps: system setup, system maintenance, and system upgrade.
4. The system of claim 3, wherein: the public information comprises temperature, illumination, carbon dioxide concentration and traffic flow, and the specific information refers to analysis curves and reports of voltage, current, lighting rate, switching time and the like of the LED lamp set generated by the management program.
5. The system of claim 1, wherein: the system also comprises a router, wherein the router is connected with the field controller and the wireless terminal; the field controller is used for establishing and configuring a network, and is responsible for normal work of the network and communication between the network and other equipment; the router is a device used for forwarding messages, and is used for increasing the network coverage and ensuring the stability of wireless communication; firstly, the router receives the signal from the wireless terminal after joining the network established by the site controller, then sends the signal to the site controller, and simultaneously receives the command from the site controller and forwards the command to the wireless terminal.
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