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Study On Key Technologies Of Keep-alive Transportation Monitoring For Aquatic Products

Posted on:2019-11-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2381330566474678Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
with the rapid development of the country's economy,the people's living standards have undergone a qualitative leap,food has evolved from the issue of food and clothing to the level of safety and quality.In the national diet,aquatic products are increasing and the keep-alive transportation industry has gradually developed.Aquatic products are susceptible to corrosion.During keep-alive transportation,Aquatic products may experience lack of oxygen,increased carbon dioxide,fluctuations in pH,fluctuations in water temperature,etc.As a result,problems such as deterioration of product quality and food safety have occurred,resulting in major economic losses.Therefore,the maintenance of the environmental conditions inside the compartments is an important factor in the storage and shelf life of aquatic products.How to effectively monitor the environmental parameters and vehicle positioning information in the active compartments in real time is the key to the smooth and sustainable transportation of aquatic products.In the research on the key technologies for the monitoring and maintenance of aquatic product transportation and monitoring systems in this paper,based on a large number of domestic and foreign literature inquiries,the following two aspects are taken as the technical focus of the research.a.Real-time control of environmental information,precise control.Taking the temperature as an example,the multi-sensor data acquisition scheme leads to the need for real-time temperature acquisition from factors such as the differences in the distribution of the temperature field inside the cabin and the errors in single sensor monitoring.The data monitored in the train compartment will cause differences.In order to control the monitoring data in real time,a large number of temperature sensors are used as an example,and multi-sensor data fusion technology is used to process the data.In this algorithm,the difference data is removed,and the data fusion accuracy is improved by adaptive weighting to facilitate better keep-alive control.b.Vehicle route planning to maintain the activity of aquatic products and reduce costs.Based on the genetic algorithm,TSP is applied to the keep-live scene.In this algorithm,the self-adaptive adjustment mechanism of crossover operator and mutation operator is added,the best vehicle path is searched,the shortest distance is calculated,the transportation cost is reduced,and transportation is improved.The efficiency guarantees vehicle scheduling and has important significance for maintaining the activity of aquatic products.Intelligent monitoring and control of environmental parameters in the train compartment and vehicle traceability,ensuring the effective collection and transmission of data,ensuring the normal operation of the entire system,and improving the monitoring efficiency are of great significance to the development of the aquatic product preservation and transportation industry.Although the intelligent monitoring system has been used in the process of keeping and transporting aquatic products,the monitoring equipment used by many users is limited and the collected data is not handled properly,which affects the operation of the entire system.In this paper,the aquatic product keep-alive transport monitoring system designed by the author has three parts: the sensory layer,the transmission layer and the application layer.The wireless sensor technology,wireless communication,and hardware and software are added to it.The cabin temperature and humidity are established.Oxygen concentration and vehicle positioning information are real-time data transmission systems for key objects,which in turn enables comprehensive monitoring of the preservation environment of aquatic products.In the designed monitoring system,the sensing layer is divided into sensor nodes and aggregation nodes.In the sensor node,the main chip combines the temperature and humidity and oxygen sensors to collect the environmental parameters in the compartment;in the convergence node,the main control chip is also used in combination with the GPS module to monitor the vehicle information.Both of the two parts have detailed software design flow.The data is transmitted on the main chip's own zigbee module.The transport layer is mainly based on the mobile phone client.The environmental information collected by the convergence node is transferred to the internal of the mobile phone through the conversion chip.In the layer,the monitoring center software system was designed and the database design concept was added.Focus on the software interface was introduced,including the three major functional modules: Aquatic product keep-alive transport monitoring,GPS positioning monitoring,analysis of aquatic products keep alive data.Users can adjust the interface according to their own needs,inquire relevant data in real time,have unified management of the data,and be intuitive and clear,improve the operating efficiency of the system.This paper combines the multi-sensor data fusion technology with the collected data and the path analysis based on the genetic algorithm,which provides a basis for the modern management and information construction of aquatic products.The design of the aquatic products keep-alive monitoring system stores information such as temperature and humidity to facilitate the user's inspection.This provides suppliers and salesmen with convenience and ensures the normal operation of the entire system.
Keywords/Search Tags:Aquatic product keep-live, Environmental monitoring, Data fusion, Path planning
PDF Full Text Request
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