Research And Application Of Key Technologies Of Management And Schedule Platform In Energy Harvesting Network

This article uses the Internet of Things software development technology to develop an energy harvesting network management and adjustment platform(energy harvesting network management and scheduling platform)to manage and dispatch radio frequency energy kits,and combine multi-scale convolutional neural network algorithms to achieve density detection of the crowd,and join Stepping motor,so that the energy of the radio frequency unit can be received by the current user.The energy harvesting network management and adjustment platform in this article is mainly composed of two parts: a management module and a scheduling module.In the management module,in order to improve user information security and reduce the harm caused to users after user information is leaked,user sensitive information is converted into information summary for storage.The method of extracting information digest is SHA1 algorithm and MD5 algorithm.The two are combined with each other and complement each other to jointly improve the security of user information.At the same time,in order to improve the security of transmitted data and prevent criminals from maliciously modifying the transmitted data,this platform also adds signature verification information to the data transmission part.In addition,this platform uses area-based grouping technology to manage each radio frequency unit in an orderly manner.In the scheduling module,the energy harvesting network management platform combines the wireless unit ESP8266 and the wireless image upload unit ESP32-CAM to jointly complete the image upload function.The management platform uses the MQTT protocol to connect to the hardware unit ESP8266.The ESP32-CAM unit uses a third-party network cloud platform as the image bed,and is connected to it to realize the function of storing and pushing pictures,and combines the multi-scale convolutional neural network to measure the population density Auxiliary judgment.The innovative point of this energy harvesting network management platform is to combine the multi-scale convolutional neural network’s population density prediction work with the management of the radio frequency energy unit.The next main work is to make the number of radio frequency units work and the population density To match the height of the staff,and strive to achieve the goal of automatically increasing or reducing the number of radio frequency units with the density of the crowd,thereby reducing the workload of the staff and improving the intelligence of the system.