| The efficiency of the existing medical treatment mode in China has been unable to meet the normal needs of people’s livelihood with the rapid development of economy and the continuous improvement of people’s requirements for the quality of life.Moreover,there are some urgent problems such as population aging,uneven distribution of medical resources and the incidence rate of chronic diseases to be solved in today’s society.Most of the current medical diagnosis methods are based on the results of blood samples to conduct case analysis.However most of the existing blood collection procedures in hospitals are manual blood selection and labeling with complicated procedure and low efficiency.The working capacity of blood collection stations cannot meet the actual needs.Most of the existing blood collection management systems in the market have disadvantages such as high cost,long design cycle,stand-alone operation and so on.which only improve the blood collection process and do not carry out research and design from the perspective of the whole blood collection station with low suitability.To reduce the development time and avoid design redundancy,the overall framework of the intelligent blood collection station was built and the important framework modules were designed in detail.The product demand weight analysis method from a two-way perspective was proposed based on user requirement.The product requirement weight analysis method from a two-way perspective was proposed,and the inter-domain mapping model based on demand weight was established to complete the structural design of key equipment.The control system of blood collection was established and the corresponding tests were conducted.The main work of this paper is as follows:(1)The overall framework of the smart blood collection station was built.The existing problems of the blood collection station and the actual needs were analyzed to determine the content to be constructed for the digital blood collection station project,the overall framework of the intelligent blood collection station was built,and the design layer,executive management layer and cloud platform layer in the framework were designed in detail.(2)The subjective and objective requirement were analyzed and the basic demand weights were obtained through the combination of demands based on the user-designer perspective.Firstly,the hierarchical structure of demand was obtained by analyzing the original user demands through KJ method.Then,the subjective weight of user demands was obtained based on the RAHP method,and the objective weight of user demands was obtained based on the Kano method.The user’s basic demand weight was obtained by combinatorial optimization method.(3)An inter-domain mapping model was established based on AD and QFD integration method according to the characteristics of the labelling machine for key equipment in blood collection station,The mapping process of user demandfunctional demand-design parameters of the labelling machine was realized,the function tree and structure tree of the labelling machine were obtained and the design and manufacture of the equipment was completed by the mapping model.(4)Design and construction of intelligent blood collection station management system.Firstly,the overall communication framework of the blood collection station was established.Then,the electromechanical control system of the labeling machine and the information flow transmission and printing system of the patients were completed by the blood collection business process.According to the designed system,the whole process experiment of the blood collection business was completed.Cloud management system of blood collection station equipment was built based on One Net cloud platform.The data stream of the relevant sensor was uploaded to the platform and visually displayed,and the threshold trigger management mechanism of data stream was established to realize the sending and management of the abnormal state of the device. |
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