| The Internet of Things (IoT) is the network which enables information exchangeand communication among its terminals located at any objects connected by theInternet. For the first time, IoT combines the collection, transmission, process andapplication of the information. With the “Intelligence” as its main character, IoT hasbecome one of the key driving forces for the economic growth.Drug is the special products directly related to people’s health care. Security oftheir producing and circulating processes are widely focused by the society andsupervised by each country with strict regulations. But since the technology andmethod of drug supervision in China still falls behind in the world, a long term effortwill be necessary to fulfill the requirement of whole classification and processelectronic drug supervision before2015, which was raised in the2012~2015Electronic Drug Supervision Work Planning.This dissertation introduced the IoT technology into the drug logistics andmanagement process. By IoT’s advantages on information awareness, informationtransmission and intelligent process, it integrated the Radio Frequency Identification(RFID), context awareness and network control technologies to build an intelligentdrug logistics supervision platform. This platform can realize the real-timesupervision and intelligent service for the whole process of drug storage and logistics.Research results verified its capability to improve the technology and intelligencelevel of the drug logistics supervision and enhance the security of the drug circulationprocess.By using the IoT based intelligent whole process drug logistics supervision as theresearch clue, this dissertation focused on several topics, such as the simulation andapplication of the dynamic resource allocation algorithm under limited bandwidth,environmental context awareness theory and implementation, and IoT basedintelligent drug logistics supervision system model and solutions. The majorcontributions of this dissertation are specifically stated as follows:(1) In order to fulfill the need of the automated goods transportation anddistribution in drug storehouse logistics, by the real-time network control systemresearch methodology and an existing control model, a mathematic multi-objects synchronizing supervision and limited transmission resource network bandwidthallocation model was proposed based on the IoT network and its applicationenvironment.(2) According to the characteristics of the transmitted signals in IoT, a signalfrequency domain based dynamic resource allocation algorithm was proposed. Thisalgorithm not only introduced the ranks of the IoT components and their applicationtasks into the resource allocation method, but also could dynamically adjust thecomponents’ bandwidth resource allocation priorities based on the real-time analysisof the components’ measured signals for the purpose of optimizing the overall IoTsystem data transmission efficiency. Based on this algorithm, the dissertationspecifically built the simulation environment of two IoT network control systems, i.e.,transporting vehicles of goods in the drug storehouse and machine arm for druglogistics and distribution. The correctness and efficiency of the dynamic resourceoptimization algorithm were also evaluated.(3) In order for the drug security supervision need, an IoT drug managementenvironment context aware system was proposed, which was composed of upper levelserver and lower level terminals. The server was a high-speed computer with largestorage equipment. The terminal’s hardware was based on ARM processor, whichcould collect the temperature, humidity and illumination parameters,perceive on the multi-source, process and transmit environmental context information.Running on the Linux operating system, the terminal’s software could obtainhigh-precision sensing data by using digital filtering techniques, nonlinearcompensation technology and parameter mapping technology. The applicationverified that the system could not only monitor the distributed multi-sourceenvironment context to satisfy the real-time supervision of the drug logistics andmanagement environment, but also realize automatic recording service for the drugidentification by RFID technology to formulate the basis of the recalling and tracingfor the problem drugs.(4) According to the requirement of the modern drug logistics, an IoT based drugintelligent logistics supervision system solution was also proposed. Combining thedrug logistics, equipment and drug transportation management systems, this solutionconnected the drug logistics, management and supervision departments together byIoT technology. It could not only realize the intelligent supervision of whole drugclassification and whole logistics processes, but also build the recalling method for the problem drugs. This system could efficiently enhance the drug supervisiontechnique to fulfill the regulations and satisfy the people’s need on drug security. |
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