| The large scale photovoltaic projects can solve energy crisis of Chinese vast central and western areas residents in the future. Dye-sensitized solar cells have attracted more and more attention because of its advantages of cheap and clean.The existing Dye-sensitized solar cells electrolyte perfusion system has relatively simple function with manual operation besides lacking visual data processing ability and the system’s degree of automation is low. This paper designs and implements an intelligent infusion system which transforms some manual equipment to automatic equipment. The system can not only fill electrolyte automatically and fast, and reduce human errors, chemical pollution and material loss, but also ensure real-time inputs, storage, processing and analysis of experimental data. At the same time, it can adjust and optimize the operating parameters.These years, with the rapid development of network technology, network monitoring technology is gradually mature. This paper introduces network platform to ensure that the main equipment through the network interconnection to continuously and real-timely monitored by computer. Users can remotely view equipment’s state and control the operation of equipment, as well complete the database establishment and so on to achieve network monitoring function in the system. This system has advantages of low cost, high practicability, easy operation etc.The main work of this thesis includes:Firstly, design intelligent infusion system structure. Solar Panels Intelligent Infusion System includes three main modules:hardware site, software module, and network communication module. With the help of the structure of this system as well as system function module, we select the main control unit model, determining data acquisition and control hardware devices, then build hardware devices’ connection.Secondly, design and implement the Intelligent Infusion System software module. Due to the limited storage capacity of the embedded system itself, this system adds a remote database module to collect state parameters. After that, we design and implement software modules combined with the structure of this perfusion system including automatic control module and remote monitoring module. This automatic control module uses Qt development framework and transplants on embedded development board with independent main program flow collecting vacuum sensor parameters and controlling relay switches. The remote monitoring module uses the.NET framework, which depends on the automatic control module. It not only displays real-time dynamic data and process states, but also sends real-time commands to automatic control module to control equipment operation. Based on the realization of the basic functions, design and optimization of the interface is also important. Excellent interface design greatly facilitates the use of non-professional users. In this system, we design and implement two kinds of monitoring module interface, and they layout consistent.Next, realize Intelligent Infusion System network communication. Automatic control module works as client runs on embedded development board, and remote monitoring module works as server built in Web server. There is no direct interaction between the client and server, we should design a network communication module. After establishing a connection between them, server and client deliver real-time status and send real-time command through this module.Finally, test system function. After completing the whole Intelligent Infusion System, we should conduct functional tests on this system to ensure function correct and consistent.To the best of our knowledge, this paper is first proposed solar battery Intelligent Infusion System, based on arm and network communication, to achieve on-site or remote monitoring hardware equipment. After repeated tests, the intelligent electrolyte perfusion system is stable and the real-time performance is good, it can basically meet local and remote monitoring requirements. |
