Intelligent lamp post management and control platform, system and application method

Abstract

The invention relates to an intelligent lamp post management and control platform and system and an application method, and the intelligent lamp post management and control platform which is comprehensive in function, stable in performance and simple and convenient to operate is developed by integrating the leading-edge technologies of the Internet of Things, artificial intelligence, edge calculation and the like. The calculation pressure of the background is shared; and the management efficiency of mass intelligent lamp poles is improved. The platform is used as a technical support for smart city construction, and intelligent upgrading of city infrastructures is realized. The management platform provided by the invention can be linked with each piece of Internet of Things equipment in a smart lamp post system to efficiently cooperate, provides intelligent services such as energy-saving illumination, smart security and protection, outdoor Internet surfing, city guide, information release and Internet of Things equipment asset management for each scene of a smart city, and provides great convenience for comprehensive construction of the Internet of Things of the smart city.

Description

Technical Field

[0001] The present disclosure relates to the field of Internet of Things smart management technology, and in particular to a smart lamp pole management and control platform, system, application method and electronic equipment. Background Art

[0002] As a key infrastructure in the construction of smart cities, smart lamp poles can not only provide basic lighting services, but also integrate multiple functions such as communication, environmental monitoring, and security monitoring. They are of great significance to improving urban management efficiency and improving the quality of life of residents.

[0003] Although smart light poles have great potential in smart city construction, they still face some challenges and problems in practical applications:

[0004] First of all, the compatibility and remote management issues of the IoT smart gateway need to be resolved. As the functions of smart light poles continue to expand, the number of devices that need to be connected and managed is also increasing, which puts higher requirements on the compatibility and stability of the IoT gateway.

[0005] Secondly, the remote management of smart light poles requires large and expensive computing resources, and the real-time data analysis and computing resources of the existing platform are mainly concentrated on a platform server. This will cause great operating pressure on the management platform, resulting in frequent problems such as platform operation jams and low data processing rates.

[0006] In addition, the online management solution for smart light poles still has problems such as low efficiency, high cost and safety concerns, which limit its application in smart villages. With the application of artificial intelligence, smart light poles should also invest in corresponding intelligent management and application technologies to ensure that the management and control platform can intelligently manage a large number of smart light poles and improve management efficiency. However, the current management of smart light poles is mainly manual management in the background, lacking artificial intelligence management. Summary of the invention

[0007] In order to solve the above problems, the present application proposes a smart lamp pole management and control platform, system, application method and electronic device.

[0008] On the one hand, this application proposes a smart lamp pole management and control platform, which manages a number of smart lamp poles by cooperating with an IoT smart gateway and an edge server. The platform includes:

[0009] A security layer that provides data security services including firewalls and encrypted communication components;

[0010] The physical layer is used to provide physical devices and systems for underlying data collection and computing services;

[0011] The data layer is used to provide a database for storing various data, including: storing the working condition data of each smart light pole collected through the IoT smart gateway;

[0012] Network layer, used to provide platform data communication network;

[0013] The platform layer is used to provide light pole management services, including: light pole management system, CPU processing system, algorithm engine and AI model;

[0014] The application layer is used to provide various platform applications and display the status control data of each smart lamp pole.

[0015] As an optional implementation scheme of the present application, optionally, the network layer includes:

[0016] Cloud API interface, used by administrators to log in to the cloud server and perform cloud management;

[0017] The IoT smart gateway interface is used to connect to the IoT smart gateway, collect the status data of each smart lamp pole through the IoT smart gateway, and issue corresponding management and control data.

[0018] As an optional implementation scheme of the present application, optionally, the lamp pole management system includes:

[0019] A lamp pole registration module, used to register the device number of each smart lamp pole and record its IOT communication node address;

[0020] A node management center is used to configure each sensing node of the smart lamp pole and activate the data collection unit to collect the working condition data of the corresponding sensing node;

[0021] A data collection unit, used to collect working condition data of the smart lamp pole at a corresponding sensing node according to a preset sensing node;

[0022] A state management module, used to analyze the working condition data of the smart light pole at the corresponding sensing node, and identify and mark the state information of the smart light pole at the corresponding sensing node;

[0023] The hyper-converged video surveillance management platform is used to generate an online status visualization map of each of the smart lamp poles according to the status information of each of the smart lamp poles based on the hyper-converged management system.

[0024] As an optional implementation scheme of the present application, optionally, the CPU processing system includes:

[0025] A protocol conversion / encapsulation module is used to encapsulate or convert data of corresponding format protocols;

[0026] The edge policy management module is used to configure edge computing policies for edge servers, including: data optimization processing policy, data load balancing policy, data encryption and security privacy processing policy, and edge caching and preheating policy;

[0027] The task scheduling center is used to schedule and execute the data processing tasks of each of the smart lamp poles.

[0028] As an optional implementation scheme of the present application, optionally, the task scheduling center is also used for:

[0029] When it is found that the edge server sends a request to the platform to call the AI ​​model, respond to the request and allow the edge server to access the platform, and open the application permission of the AI ​​model to it.

[0030] On the other hand, the present application proposes a smart lamp pole management and control system, comprising:

[0031] Smart light pole management and control platform;

[0032] Several smart light poles;

[0033] The IoT smart gateway is used to collect the working condition data of the smart lamp pole and upload it to the edge server; and to send various control instructions issued by the edge server or forwarded by the smart lamp pole control platform to the corresponding smart lamp pole;

[0034] The edge server is used to pre-process the working condition data of each smart lamp pole, including:

[0035] (1) Based on the data optimization processing strategy, the operating condition data of each smart lamp pole is optimized, and the calculation amount of the operating condition data of the smart lamp pole is reduced to a preset value, and then uploaded to the smart lamp pole management and control platform;

[0036] (2) Based on the data load balancing strategy, when it is found that the working condition data of the smart lamp pole currently received exceeds the maximum load of the edge server for processing data, the newly received working condition data of the smart lamp pole is sent to the surrounding edge servers, and the surrounding edge servers are requested to process the data and then upload the processing results to the smart lamp pole management and control platform;

[0037] (3) Based on the data encryption and security privacy processing strategy, the pre-processing result of the received working condition data of the smart lamp pole is encrypted and uploaded to the smart lamp pole management and control platform;

[0038] (4) Based on the edge cache and preheating strategy, the received working condition data of the smart lamp pole is hierarchically cached or cached preheated.

[0039] As an optional implementation scheme of the present application, optionally, the IoT smart gateway includes:

[0040] A gateway mainboard, and a plurality of mainboard interfaces and a power supply, wherein the power supply and the mainboard interfaces are electrically connected to the gateway mainboard respectively;

[0041] The gateway mainboard comprises a watchdog circuit, a CPU, a protocol conversion module, a decryption chip and an AD / DA digital-to-analog conversion module.

[0042] As an optional implementation scheme of the present application, optionally, the mainboard interface includes at least one of the following interfaces:

[0043] GPIO, USB, ADC, RS232, RJ45 network port, SPI, I2C or SD WI FI.

[0044] On the other hand, the present application also proposes an application method of a smart lamp pole management and control system, comprising the following steps:

[0045] The administrator logs in to the smart light pole management and control platform through the terminal, initializes the system, and activates the system, including: activating the communication between the smart light pole management and control platform and the edge server, activating the IoT smart gateway through the edge server, and activating each of the smart light poles through the IoT smart gateway;

[0046] Data collection: collecting the working condition data of each smart lamp pole through the IoT smart gateway and uploading it to the edge server;

[0047] The edge server pre-processes the working condition data of each smart lamp pole, and uploads the pre-processing result to the smart lamp pole management and control platform;

[0048] The smart lamp pole management and control platform analyzes the working condition data of the smart lamp pole at the corresponding sensing node, and identifies and marks the status information of the smart lamp pole at the corresponding sensing node; and, based on the hyper-converged video surveillance management platform, generates an online status visualization map of each smart light pole according to the status information of each smart light pole and synchronizes it to the application layer.

[0049] In another aspect, the present application further provides an electronic device, comprising:

[0050] processor;

[0051] a memory for storing processor-executable instructions;

[0052] Wherein, the processor is configured to implement the application method when executing the executable instructions.

[0053] Technical effects of the present invention:

[0054] This application integrates cutting-edge technologies such as the Internet of Things, artificial intelligence, and edge computing to develop a comprehensive, stable, and easy-to-operate smart light pole management and control platform that can combine edge and intelligent technologies to share the computing pressure of the background and improve the management efficiency of massive smart light poles. The platform will serve as a technical support for the construction of smart cities and realize the intelligent upgrade of urban infrastructure.

[0055] The management platform proposed in the present invention can link the various IoT devices in the smart lamp pole system to collaborate efficiently, and provide intelligent services such as energy-saving lighting, smart security, outdoor Internet access, city guides, information release and IoT device asset management for various scenarios in the smart city, providing great convenience for the comprehensive construction of the IoT in smart cities.

[0056] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

[0058] Figure 1 It is a schematic diagram of the technical architecture of the smart lamp pole management and control platform of the present invention;

[0059] Figure 2 It is a schematic diagram showing the composition of the application system of the smart lamp pole management and control system of the present invention;

[0060] Figure 3 The figure shows a schematic diagram of the hardware composition of the IoT smart gateway of the present invention;

[0061] Figure 4 It is a schematic diagram showing the structure of the control circuit of the smart lamp pole of the present invention;

[0062] Figure 5 Shown is a visualization map of the online status of the smart lamp pole based on hyper-converged video of the present invention;

[0063] Figure 6 It is a schematic diagram showing the application of the electronic device of the present invention. DETAILED DESCRIPTION

[0064] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0065] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0066] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the main purpose of the present disclosure.

[0067] Example 1

[0068] like Figure 1 As shown, on the one hand, this application proposes a smart lamp pole management and control platform, which manages a number of smart lamp poles by cooperating with an IoT smart gateway and an edge server. The platform includes:

[0069] A security layer that provides data security services including firewalls and encrypted communication components;

[0070] The physical layer is used to provide physical devices and systems for underlying data collection and computing services;

[0071] The data layer is used to provide a database for storing various data, including: storing the working condition data of each smart light pole collected through the IoT smart gateway;

[0072] Network layer, used to provide platform data communication network;

[0073] The platform layer is used to provide light pole management services, including: light pole management system, CPU processing system, algorithm engine and AI model;

[0074] The application layer is used to provide various platform applications and display the status control data of each smart lamp pole.

[0075] The present invention integrates cutting-edge technologies such as the Internet of Things, artificial intelligence, and edge computing to develop a smart light pole management and control platform with comprehensive functions, stable performance, and easy operation. This platform will serve as a technical support for the construction of smart cities and realize the intelligent upgrade of urban infrastructure. By using the multifunctional sensors and monitoring equipment integrated in smart light poles, urban operation data can be collected in real time to provide scientific and accurate decision-making support for urban management. Through efficient data processing and analysis, the response speed and service quality of urban management can be improved. Through the intelligent lighting, environmental monitoring, information release and other services provided by smart light poles, the living environment and quality of life of residents can be improved.

[0076] Combined with Figure 2As shown, the platform of the present invention is deployed on a cloud server, allowing the administrator to perform cloud management by logging into the cloud server through a terminal, PC, APP, etc. The communication between the edge server and the cloud server can be configured by the administrator, and the edge server communicates and manages with each smart light pole through a smart gateway. The working condition data of the smart light pole is first reported by the gateway to the edge server for pre-processing, and then reported by the edge server to the smart light pole management and control platform on the cloud server for processing. The platform cooperates with the gateway and edge server to manage the massively distributed smart light poles online. For the deployment and application of edge servers and cloud servers, please refer to the configuration and deployment of existing edge devices and cloud service devices.

[0077] The platform can provide management services for smart light poles and can achieve security management and status control based on the platform's architecture. The platform can use firewalls or encrypted communication components to encrypt and decrypt the accessed data to achieve secure data communication. During data transmission, the SSL / TLS protocol can be used for encrypted communication, and strong encryption algorithms should be used to protect data from attacks during storage. In addition, strict access control policies should be implemented so that only authenticated users can access specific data and services.

[0078] The physical layer provides a management and control operating system on the platform, through which the administrator can implement corresponding management and control operations. The computing data of the edge server can be cached at the edge. It can also be synchronized and saved in the edge computing database on the cloud server later. The data processed on the platform will be stored in the corresponding database. The cloud server provides an algorithm engine that can call various data algorithms in the algorithm database to perform corresponding data processing, and the edge server can also send various requests to the cloud server to request to call the corresponding algorithm engine or AI model to assist in processing working condition data. Various data processing algorithms, such as load balancing algorithms or data optimization processing algorithms, encryption algorithms, caching algorithms, etc., are specifically configured by the administrator and saved in the algorithm database. Each algorithm can be stored in the form of an algorithm block and can be called later.

[0079] The AI ​​models on the platform can be various AI models that are trained and generated by the administrator in advance on the cloud server. For example, the big data of the working conditions of the lamp poles can be used to train and generate corresponding AI models with lamp pole faults. One of the training and generation methods is as follows:

[0080] 1. Data Collection and Preprocessing

[0081] Data collection: First, collect the working data of the light pole from the smart light pole integrated management platform or other relevant data sources. These data may include current, voltage, brightness, temperature, humidity, fault records, etc. (these can be collected and uploaded regularly by the microcontroller).

[0082] Data cleaning: Clean the data to remove duplicate, erroneous or irrelevant data items. At the same time, format the data to ensure its consistency and accuracy.

[0083] Data labeling: For fault data, manual labeling or labeling using existing fault records is required. The labeling content includes fault type, fault time, fault location, etc.

[0084] 2. Feature Extraction and Selection

[0085] Feature extraction: Extract features related to lamp pole failure from the cleaned data. These features may include current fluctuations, voltage anomalies, temperature rise, etc.

[0086] Feature selection: Select features useful for lamp pole fault identification through statistical analysis, correlation analysis and other methods. At the same time, remove redundant and irrelevant features to reduce the complexity of the model.

[0087] 3. Model Selection and Training

[0088] Model selection: Choose a suitable machine learning or deep learning model based on the characteristics of the problem. For the problem of lamp pole fault identification, you can choose a classification model or a regression model.

[0089] Model training: Use the labeled data set to train the model. During the training process, the model parameters and structure are adjusted to enable the model to better identify lamp pole faults.

[0090] Model evaluation: Use the test data set to evaluate the trained model. Evaluation indicators include accuracy, recall, F1 score, etc. Tune the model based on the evaluation results.

[0091] 4. Model Deployment and Application

[0092] Model deployment: Deploy the trained model to the smart light pole integrated management platform or other related systems to ensure that the model can receive new operating data in real time and identify faults.

[0093] Real-time monitoring: The platform monitors the working data of the light pole in real time and uses the trained model to identify faults. Once a fault is found, the operation and maintenance personnel are notified immediately for processing.

[0094] Feedback and optimization: Collect user feedback in actual applications to continuously optimize and improve the model. At the same time, as new data is continuously generated, the model can be retrained regularly to improve its performance.

[0095] Through the above steps, an AI model that can identify lamp pole faults can be trained and applied to the smart lamp pole integrated management platform to improve operation and maintenance efficiency and safety.

[0096] A model API can be deployed on the edge server, which can call the AI ​​model at any time to check the fault status of the working condition data (pre-processing), report the inspection results to the platform, and the platform will register and mark the faulty light pole (status mark) to facilitate subsequent administrators to check and assign corresponding on-site technicians to go for maintenance. This can save the platform's computing resources and share computing pressure.

[0097] like Figure 4 As shown, the application control system of the smart lamp pole of the present invention (or simply "lamp pole", which can be understood by referring to the invention patent applied by the applicant and entitled "An Internet of Things Smart Lamp Pole Device, System and Application Method"). The lamp pole of the present invention is integrated with an Internet of Things communication module (IOT communication module), a microcontroller, an environmental monitoring system, a wireless charging and discharging system, and various lighting or alarm light groups controlled by a switching switch, as well as a wireless charging module, an information release LED screen and a wireless camera. The microcontroller can upload the working condition data of the smart lamp pole to the edge server via the smart gateway. The lamp pole can detect the surrounding environmental data, including data sensing and collection of light intensity, temperature and humidity, smoke, gas, and infrared signals, which are processed by the microcontroller and uploaded to the gateway by the Internet of Things communication module, and then uploaded to the edge server by the Internet of Things smart gateway. The edge server first pre-processes the working condition data of each smart light pole, and then uploads the processing results or some tasks that should be handed over to the management and control platform for processing according to the calculation strategy to the smart light pole management and control platform. The platform processes and responds to the corresponding management and control instructions (returning to the corresponding smart light pole by the original route, because the platform registers the address of each smart light pole, so the gateway can address it according to the address).

[0098] The wireless charging and discharging system of the lamp pole is mainly powered by the solar power supply system. The discharge is mainly carried out by the inverter, which mainly powers the microcontroller and the wireless charging module. The specific understanding can be combined with the application control of each electronic device.

[0099] In the present invention, each lamp group is installed on a lamp rack on the top of the lamp pole, and the lamp rack is driven by a rotating motor, and the rotation angle can be controlled when the microcontroller calculates the light intensity value.

[0100] Some management information can be sent to the edge server through the platform, and then sent to the IOT communication module of the smart lamp pole through the IoT smart gateway, and then forwarded to the microcontroller by the IOT communication module. After processing by the microcontroller, some management information is sent to the information release LED screen for display. Wireless cameras can collect video images around the lamp pole and upload them to the server, and the background monitors the video images around the lamp pole.

[0101] As an optional implementation scheme of the present application, optionally, the network layer includes:

[0102] Cloud API interface, used by administrators to log in to the cloud server and perform cloud management;

[0103] The IoT smart gateway interface is used to connect to the IoT smart gateway, collect the status data of each smart lamp pole through the IoT smart gateway, and issue corresponding management and control data.

[0104] The two interfaces can be configured by the administrator, or directly use the API interface on the cloud server. As for the IoT smart gateway interface, refer to the interface type configured on the motherboard of the IoT smart gateway.

[0105] As an optional implementation scheme of the present application, optionally, the lamp pole management system includes:

[0106] A lamp pole registration module, used to register the device number of each smart lamp pole and record its IOT communication node address;

[0107] A node management center is used to configure each sensing node of the smart lamp pole and activate the data collection unit to collect the working condition data of the corresponding sensing node;

[0108] A data collection unit, used to collect working condition data of the smart lamp pole at a corresponding sensing node according to a preset sensing node;

[0109] A state management module, used to analyze the working condition data of the smart light pole at the corresponding sensing node, and identify and mark the state information of the smart light pole at the corresponding sensing node;

[0110] The hyper-converged video surveillance management platform is used to generate an online status visualization map of each of the smart lamp poles according to the status information of each of the smart lamp poles based on the hyper-converged management system.

[0111] Administrators can access the light pole management system to conduct online management of light poles set up in various branches. This includes the identity registration of each light pole and the configuration of the sensing nodes of each smart light pole. The sensing nodes are used to collect node working condition data of each light pole in the future according to the time points or location points recorded by the sensing nodes. Therefore, the administrator can configure the corresponding sensing nodes according to the geographic information such as the deployment location of each light pole. The data acquisition unit is mainly used for data collection, and data sampling is performed according to the configuration information of the sensing nodes of each light pole. During data collection, the sampling instructions of the corresponding nodes can be issued through the edge server, and the edge server samples the light poles of the corresponding address through the gateway. After collecting the working condition data, because the platform needs to identify the working condition status of each light pole, the working status of each registered light pole can be marked in the status management module. This part is pre-identified by the edge server through the AI ​​model, so the status management module needs to identify the inspection results uploaded by the edge server and mark the status.

[0112] In order to allow administrators to visually view the status information of the smart lamp poles of each branch, the present invention uses a hyper-convergence management system to create a map that visually displays the online status of the smart lamp poles, uses a hyper-convergence video surveillance management platform to read the status information of each lamp pole, and displays each mark information on the pre-built map. Therefore, based on the visual map provided by the hyper-convergence management system, administrators can visually view the online status information of each lamp pole.

[0113] like Figure 5 As shown in the figure, it is a visualization map of the online status of smart lamp poles. For example, if the status information of a lamp pole on the map is displayed in red, it is determined that the lamp pole is in a faulty operating state; if it is green, it indicates that the lamp pole is in a normal state.

[0114] The hyper-converged video surveillance management platform can be designed and developed in accordance with the national standard GBT28181, and is compatible with mainstream protocols such as ONVIF. GBT28181 includes not only the cascading between devices, but also the cascading of systems. Through ONVF and GBT28181 complementing each other, NVRs, cameras and other devices distributed in different locations, different brands and different network environments can be realized remotely through intranet transparent transmission, front-end transcoding and other technologies to achieve cloud storage and cloud management. The platform can output multiple video streams such as RTSP, RTMP, FLV, HLS, etc., is compatible with multi-platform and multi-browser playback, can be applied to video surveillance playback in various scenarios, and video streams can be shared and authenticated. The front-end open source and rich interface functions facilitate secondary development and create a personalized application system for smart city construction.

[0115] As an optional implementation scheme of the present application, optionally, the CPU processing system includes:

[0116] A protocol conversion / encapsulation module is used to encapsulate or convert data of corresponding format protocols;

[0117] The edge policy management module is used to configure edge computing policies for edge servers, including: data optimization processing policy, data load balancing policy, data encryption and security privacy processing policy, and edge caching and preheating policy;

[0118] The task scheduling center is used to schedule and execute the data processing tasks of each of the smart lamp poles.

[0119] The protocol conversion / encapsulation module mainly formats data of different data format protocols. It is necessary to uniformly encapsulate the standard format data transmitted on the protocol adaptation layer, unpack the data sent by the wide area access layer into standard format data, implement command parsing, and then convert it into signals and control instructions that can be recognized by the perception layer protocol.

[0120] In edge computing, a large amount of data needs to be processed on the device side, which makes device resources and connectivity a key issue. It is necessary to reduce computing and storage requirements by optimizing algorithms and data processing strategies; use more efficient hardware and software platforms to improve device performance; and use load balancing and data caching technologies to optimize network connections and data transmission.

[0121] Data in edge computing often involves privacy and security issues, so more stringent protection measures are needed. Use encryption technology and security protocols to ensure the security of data transmission and storage; implement access control and authentication mechanisms to prevent unauthorized access; design data privacy protection algorithms to reduce the risk of data leakage.

[0122] Edge computing requires data processing and response to be highly real-time. It is necessary to optimize algorithms and data processing strategies to improve computing speed and response time; use high-performance hardware and software platforms to ensure real-time performance; and use edge caching and preheating technologies to reduce data access and transmission time.

[0123] Edge computing involves a huge amount of equipment and data, which increases the difficulty of management and maintenance. It is necessary to implement a centralized management platform to monitor the equipment status and data processing process; adopt automated and intelligent management tools to improve management efficiency; design fault tolerance and self-repair mechanisms to reduce failure risks and maintenance costs.

[0124] Task scheduling: The administrator configures the type of specific scheduling tasks. Tasks suitable for edge servers are directly sent to the edge servers.

[0125] As an optional implementation scheme of the present application, optionally, the task scheduling center is also used for:

[0126] When it is found that the edge server sends a request to the platform to call the AI ​​model, respond to the request and allow the edge server to access the platform, and open the application permission of the AI ​​model to it.

[0127] To call the AI ​​model, please refer to the training and application of the above AI model.

[0128] like Figure 2 As shown, based on the application of the above platform, this application, on the other hand, proposes a smart lamp pole management and control system, including:

[0129] The smart light pole management and control platform described above;

[0130] Several smart light poles;

[0131] The IoT smart gateway is used to collect the working condition data of the smart lamp pole and upload it to the edge server; and to send various control instructions issued by the edge server or forwarded by the smart lamp pole control platform to the corresponding smart lamp pole;

[0132] The edge server is used to pre-process the working condition data of each smart lamp pole, including:

[0133] (1) Based on the data optimization processing strategy, the operating condition data of each smart lamp pole is optimized, and the calculation amount of the operating condition data of the smart lamp pole is reduced to a preset value, and then uploaded to the smart lamp pole management and control platform;

[0134] (2) Based on the data load balancing strategy, when it is found that the currently received working condition data of the smart lamp pole exceeds the maximum load of the edge server for processing data, the newly received working condition data of the smart lamp pole is sent to the surrounding edge servers, and the surrounding edge servers are requested to process the data and then upload the processing results to the smart lamp pole management and control platform;

[0135] (3) Based on the data encryption and security privacy processing strategy, the pre-processing result of the received working condition data of the smart lamp pole is encrypted and uploaded to the smart lamp pole management and control platform;

[0136] (4) Based on the edge cache and preheating strategy, the received working condition data of the smart lamp pole is hierarchically cached or cached preheated.

[0137] Please understand the above in conjunction with the platform description.

[0138] The IoT gateway can complete the protocol conversion between wireless sensor networks, traditional communication networks and other different types of networks, and realize local and wide area data interconnection. In addition, the IoT gateway also needs to have device management functions. Operators can manage the underlying sensing nodes through the IoT gateway device, understand the relevant information of each node, and realize remote control.

[0139] like Figure 3 As shown, as an optional implementation scheme of the present application, optionally, the IoT smart gateway includes:

[0140] A gateway mainboard, and a plurality of mainboard interfaces and a power supply, wherein the power supply and the mainboard interfaces are electrically connected to the gateway mainboard respectively;

[0141] The gateway mainboard comprises a watchdog circuit, a CPU, a protocol conversion module, a decryption chip and an AD / DA digital-to-analog conversion module.

[0142] As an optional implementation scheme of the present application, optionally, the mainboard interface includes at least one of the following interfaces:

[0143] GPIO, USB, ADC, RS232, RJ45 network port, SPI, I2C or SD WI FI.

[0144] As the core component of the smart light pole system, the IoT smart gateway has the primary task of ensuring that all connected devices can communicate smoothly. This requires not only that the gateway supports mainstream communication protocols such as ZigBee, Bluetooth, Wi-Fi, LoRaWAN, etc., but also that new standards and technologies that may emerge in the future be considered. LoRaWAN is more suitable for long-distance and low-bandwidth requirements. In addition, the smart gateway must have strong access capabilities and support the access of multiple sensors (GPIO), including but not limited to temperature and humidity sensors, light sensors, air quality sensors, etc. This means that the gateway must have sufficient I / O interfaces and be able to be flexibly configured to accommodate different types of sensors. For example, for sensors with analog signal output, a built-in analog-to-digital converter may be required; for sensors with digital signal output, digital communication interfaces such as SPI and I2C may need to be supported.

[0145] The IoT smart gateway has the function of decrypting the working condition data reported by each lamp pole and providing digital-to-analog conversion services. It can perform pre-processing on the edge device, thereby saving data processing threads for the edge server and platform and improving the data processing efficiency of the platform.

[0146] Therefore, this application uses a management platform to monitor the status of lamp pole equipment and perform management and control, adopts automated and intelligent management tools to improve management efficiency; designs fault tolerance and self-repair mechanisms to reduce failure risks and maintenance costs.

[0147] In this embodiment, the various algorithms described are not limited and can be configured in the algorithm database by the administrator.

[0148] Obviously, those skilled in the art should understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviated: HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0149] Example 2

[0150] Based on the implementation principle of Example 1, on the other hand, the present application also proposes an application method of a smart lamp pole management and control system, comprising the following steps:

[0151] The administrator logs in to the smart light pole management and control platform through the terminal, initializes the system, and activates the system, including: activating the communication between the smart light pole management and control platform and the edge server, activating the IoT smart gateway through the edge server, and activating each of the smart light poles through the IoT smart gateway;

[0152] Data collection: collecting the working condition data of each smart lamp pole through the IoT smart gateway and uploading it to the edge server;

[0153] The edge server pre-processes the working condition data of each smart lamp pole, and uploads the pre-processing result to the smart lamp pole management and control platform;

[0154] The smart lamp pole management and control platform analyzes the working condition data of the smart lamp pole at the corresponding sensing node, and identifies and marks the status information of the smart lamp pole at the corresponding sensing node; and, based on the hyper-converged video surveillance management platform, generates an online status visualization map of each smart light pole according to the status information of each smart light pole and synchronizes it to the application layer.

[0155] Please understand the above steps in conjunction with the implementation principles in Example 1, and this example will not be repeated.

[0156] The modules or steps of the present invention described above can be implemented by a general-purpose computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0157] Example 3

[0158] As attached Figure 6 As shown, further, in another aspect, the present application also proposes an electronic device, including:

[0159] processor;

[0160] a memory for storing processor-executable instructions;

[0161] Wherein, the processor is configured to implement the application method described in Example 2 when executing the executable instructions.

[0162] The electronic device of the embodiment of the present disclosure includes a processor and a memory for storing instructions executable by the processor, wherein the processor is configured to implement the application method described in the above embodiment 2 when executing the executable instructions.

[0163] Here, it should be noted that the number of processors can be one or more. At the same time, the electronic device of the embodiment of the present disclosure may also include an input system and an output system. Among them, the processor, memory, input system and output system may be connected through a bus or in other ways, which are not specifically limited here.

[0164] The memory is a computer-readable storage medium that can be used to store software programs, computer executable programs, and various modules, such as the program or module corresponding to the application method of the embodiment of the present disclosure. The processor executes various functional applications and data processing of the electronic device by running the software programs or modules stored in the memory.

[0165] The input system can be used to receive input numbers or signals. The signal can be a key signal related to user settings and function control of the device / terminal / server. The output system can include display devices such as display screens.

[0166] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A smart light pole management and control platform, which manages a number of smart light poles by cooperating with the IoT smart gateway and edge server, characterized in that: The platform includes: A security layer that provides data security services including firewalls and encrypted communication components; The physical layer is used to provide physical devices and systems for underlying data collection and computing services; The data layer is used to provide a database for storing various data, including: storing the working condition data of each smart light pole collected through the IoT smart gateway; Network layer, used to provide platform data communication network; The platform layer is used to provide light pole management services, including: light pole management system, CPU processing system, algorithm engine and AI model; The application layer is used to provide various platform applications and display the status control data of each smart lamp pole.

2. The smart lamp pole management and control platform according to claim 1, characterized in that: The network layer includes: Cloud API interface, used by administrators to log in to the cloud server and perform cloud management; The IoT smart gateway interface is used to connect to the IoT smart gateway, collect the status data of each smart lamp pole through the IoT smart gateway, and issue corresponding management and control data.

3. The smart lamp pole management and control platform according to claim 1, characterized in that: The lamp pole management system comprises: A lamp pole registration module, used to register the device number of each smart lamp pole and record its IOT communication node address; A node management center is used to configure each sensing node of the smart lamp pole and activate the data collection unit to collect the working condition data of the corresponding sensing node; A data collection unit, used to collect working condition data of the smart lamp pole at a corresponding sensing node according to a preset sensing node; A state management module, used to analyze the working condition data of the smart light pole at the corresponding sensing node, and identify and mark the state information of the smart light pole at the corresponding sensing node; The hyper-converged video surveillance management platform is used to generate an online status visualization map of each of the smart lamp poles according to the status information of each of the smart lamp poles based on the hyper-converged management system.

4. The smart lamp pole management and control platform according to claim 1, characterized in that: The CPU processing system comprises: A protocol conversion / encapsulation module is used to encapsulate or convert data of corresponding format protocols; The edge policy management module is used to configure edge computing policies for edge servers, including: data optimization processing policy, data load balancing policy, data encryption and security privacy processing policy, and edge caching and preheating policy; The task scheduling center is used to schedule and execute the data processing tasks of each of the smart lamp poles.

5. The smart lamp pole management and control platform according to claim 4, characterized in that: The task scheduling center is also used for: When it is found that the edge server sends a request to the platform to call the AI ​​model, respond to the request and allow the edge server to access the platform, and open the application permission of the AI ​​model to it.

6. A smart lamp pole management and control system, characterized in that: include: The smart lamp pole management and control platform according to any one of claims 1 to 5; Several smart light poles; The IoT smart gateway is used to collect the working condition data of the smart lamp pole and upload it to the edge server; and to send various control instructions issued by the edge server or forwarded by the smart lamp pole control platform to the corresponding smart lamp pole; The edge server is used to pre-process the working condition data of each smart lamp pole, including: (1) Based on the data optimization processing strategy, the operating condition data of each smart lamp pole is optimized, and the calculation amount of the operating condition data of the smart lamp pole is reduced to a preset value, and then uploaded to the smart lamp pole management and control platform; (2) Based on the data load balancing strategy, when it is found that the working condition data of the smart lamp pole currently received exceeds the maximum load of the edge server for processing data, the newly received working condition data of the smart lamp pole is sent to the surrounding edge servers, and the surrounding edge servers are requested to process the data and then upload the processing results to the smart lamp pole management and control platform; (3) Based on the data encryption and security privacy processing strategy, the pre-processing result of the received working condition data of the smart lamp pole is encrypted and uploaded to the smart lamp pole management and control platform; (4) Based on the edge cache and preheating strategy, the received working condition data of the smart lamp pole is hierarchically cached or cached preheated.

7. The smart lamp pole management and control system according to claim 6, characterized in that: The IoT smart gateway comprises: A gateway mainboard, and a plurality of mainboard interfaces and a power supply, wherein the power supply and the mainboard interfaces are electrically connected to the gateway mainboard respectively; The gateway mainboard comprises a watchdog circuit, a CPU, a protocol conversion module, a decryption chip and an AD / DA digital-to-analog conversion module.

8. The smart lamp pole management and control system according to claim 7, characterized in that: The mainboard interface includes at least one of the following interfaces: GPIO, USB, ADC, RS232, RJ45 network port, SPI, I2C or SD WIFI.

9. The application method of the smart lamp pole management and control system according to any one of claims 6 to 8, characterized in that: The steps include: The administrator logs in to the smart light pole management and control platform through the terminal, initializes the system, and activates the system, including: activating the communication between the smart light pole management and control platform and the edge server, activating the IoT smart gateway through the edge server, and activating each of the smart light poles through the IoT smart gateway; Data collection: collecting the working condition data of each smart lamp pole through the IoT smart gateway and uploading it to the edge server; The edge server pre-processes the working condition data of each smart lamp pole, and uploads the pre-processing result to the smart lamp pole management and control platform; The smart lamp pole management and control platform analyzes the working condition data of the smart lamp pole at the corresponding sensing node, and identifies and marks the status information of the smart lamp pole at the corresponding sensing node; and, based on the hyper-converged video surveillance management platform, generates an online status visualization map of each smart light pole according to the status information of each smart light pole and synchronizes it to the application layer.

10. An electronic device, characterized in that include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to implement the application method described in claim 9 when executing the executable instructions.

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