Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00016
Xinzhuang Li, Hanjun Wang
With the in-depth development of “two integration”, industrial control network security situation is more and more serious, industrial control network security protection work is more and more important. Aiming at the characteristics of sparse and complex dimensions of industrial control network security data, combining with the conceptual model of network security situation awareness, this paper proposes a network security situation assessment method, which uses stack self-encoder to process sparse data and uses radial basis neural network to fit complex nonlinear characteristics. It effectively extracts the data features, realizes the analysis and understanding of the data, and completes the security situation assessment, which provides a new method for the security situation assessment of the industrial control network.
{"title":"Industrial Control Network Security Situation Assessment Based on SAE-RBF","authors":"Xinzhuang Li, Hanjun Wang","doi":"10.1109/ICTech55460.2022.00016","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00016","url":null,"abstract":"With the in-depth development of “two integration”, industrial control network security situation is more and more serious, industrial control network security protection work is more and more important. Aiming at the characteristics of sparse and complex dimensions of industrial control network security data, combining with the conceptual model of network security situation awareness, this paper proposes a network security situation assessment method, which uses stack self-encoder to process sparse data and uses radial basis neural network to fit complex nonlinear characteristics. It effectively extracts the data features, realizes the analysis and understanding of the data, and completes the security situation assessment, which provides a new method for the security situation assessment of the industrial control network.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128793054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ictech55460.2022.00005
{"title":"Preface: ICTech 2022","authors":"","doi":"10.1109/ictech55460.2022.00005","DOIUrl":"https://doi.org/10.1109/ictech55460.2022.00005","url":null,"abstract":"","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121724338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00013
Hongliang Wang, Guoliang Jin
Production workshop is the main activity carrier engaged in production and manufacturing. Digital twin technology is an effective way to integrate and interconnect the physical world and the information world. Cloud platform is a service based on hardware resources and software resources, which provides more computing power and storage capacity and adds more possibilities to the information world. Under the background of industrial Internet, Made in China 2025, advanced Manufacturing Partnership program and other strategies, digital twin workshop is becoming an important means to cooperate with physical workshop. The cloud platform provides more computing and storage resources, making it possible to create and manage large, complex and diverse digital twin systems in a fast, simple and scalable manner. Therefore, this paper proposes a digital twin workshop architecture based on cloud platform.
{"title":"Digital Twin Model Construction and Management Method of Workshop Based on Cloud Platform","authors":"Hongliang Wang, Guoliang Jin","doi":"10.1109/ICTech55460.2022.00013","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00013","url":null,"abstract":"Production workshop is the main activity carrier engaged in production and manufacturing. Digital twin technology is an effective way to integrate and interconnect the physical world and the information world. Cloud platform is a service based on hardware resources and software resources, which provides more computing power and storage capacity and adds more possibilities to the information world. Under the background of industrial Internet, Made in China 2025, advanced Manufacturing Partnership program and other strategies, digital twin workshop is becoming an important means to cooperate with physical workshop. The cloud platform provides more computing and storage resources, making it possible to create and manage large, complex and diverse digital twin systems in a fast, simple and scalable manner. Therefore, this paper proposes a digital twin workshop architecture based on cloud platform.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"171 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114009527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00044
Shuwei Xia
In order to better strengthen the building, solve the defects existing in its structure, the need to analyze the whole building, and the structure of the test. Based on PKPM software, the overall reinforcement scheme is analyzed and the optimal scheme is selected. Based on the seismic data of Satwe designed buildings, the feasibility of the reinforcement scheme is analyzed, and the overall seismic resistance meets the design requirements of buildings, which lays a foundation for future building reinforcement.
{"title":"Research on Inspection, Identification and Reinforcement Design of Building Structure Based on PKPM Software","authors":"Shuwei Xia","doi":"10.1109/ICTech55460.2022.00044","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00044","url":null,"abstract":"In order to better strengthen the building, solve the defects existing in its structure, the need to analyze the whole building, and the structure of the test. Based on PKPM software, the overall reinforcement scheme is analyzed and the optimal scheme is selected. Based on the seismic data of Satwe designed buildings, the feasibility of the reinforcement scheme is analyzed, and the overall seismic resistance meets the design requirements of buildings, which lays a foundation for future building reinforcement.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"359 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122752186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00049
Weiguang Han, Xuesong Han
The detection and recognition of stacked workpieces is affected by workpiece occlusion and workpiece overlap, which leads to the problem of difficult detection of workpiece types. This paper proposes a detection method based on the improved Faster R-CNN model, improves the Faster R-CNN feature network, and selects ResNet combined with SENet for feature extraction, which improves the important feature layer and suppresses the non-important feature layer. Introduce the Soft-NMS algorithm to optimize the NMS algorithm to reduce the problem of missed detection and false detection of overlapping or adjacent targets. The test results show that compared with the unimproved Faster R-CNN model, the improved Faster R-CNN model outperforms the traditional algorithm in terms of accuracy, precision, recall and F1 value.
{"title":"Stack Workpieces Recognition Model Based on Deep Learning","authors":"Weiguang Han, Xuesong Han","doi":"10.1109/ICTech55460.2022.00049","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00049","url":null,"abstract":"The detection and recognition of stacked workpieces is affected by workpiece occlusion and workpiece overlap, which leads to the problem of difficult detection of workpiece types. This paper proposes a detection method based on the improved Faster R-CNN model, improves the Faster R-CNN feature network, and selects ResNet combined with SENet for feature extraction, which improves the important feature layer and suppresses the non-important feature layer. Introduce the Soft-NMS algorithm to optimize the NMS algorithm to reduce the problem of missed detection and false detection of overlapping or adjacent targets. The test results show that compared with the unimproved Faster R-CNN model, the improved Faster R-CNN model outperforms the traditional algorithm in terms of accuracy, precision, recall and F1 value.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134410025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00117
Hong-yuan Wang
Influenced by the COVID-19 epidemic in the past two years, colleges and universities at home and abroad have adopted a combination of online and offline teaching reform, education informatization and intelligent talent training methods, which have become the focus of research for educators. The teaching quality is related to the quality of talent cultivation, and the intelligence, fairness and accuracy of the teaching evaluation system are particularly important. And block chain technology is decentralized and safe and reliable features, so the development of the technology based on big data and chain blocks obeys the law of education development of teaching evaluation system, to solve the shortage of the current appraisal system, and realize the sharing of teaching resources, integrate and optimize the teaching resources, promoting the standardization and standardization of teaching resources construction, To promote the construction and better development of disciplines in colleges and universities.
{"title":"Research on University Teaching Quality Evaluation and Guarantee System Based on Block Chain Technology","authors":"Hong-yuan Wang","doi":"10.1109/ICTech55460.2022.00117","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00117","url":null,"abstract":"Influenced by the COVID-19 epidemic in the past two years, colleges and universities at home and abroad have adopted a combination of online and offline teaching reform, education informatization and intelligent talent training methods, which have become the focus of research for educators. The teaching quality is related to the quality of talent cultivation, and the intelligence, fairness and accuracy of the teaching evaluation system are particularly important. And block chain technology is decentralized and safe and reliable features, so the development of the technology based on big data and chain blocks obeys the law of education development of teaching evaluation system, to solve the shortage of the current appraisal system, and realize the sharing of teaching resources, integrate and optimize the teaching resources, promoting the standardization and standardization of teaching resources construction, To promote the construction and better development of disciplines in colleges and universities.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115093100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00115
Qianyi Zhou, Jiaxing Hu, Yunyi Xu
This system consists of STM32F407 single chip microcomputer, STM32F103 single chip microcomputer, openmv vision module and k210 vision module are composed. Taking stm32f407 single chip microcomputer as the control core, combined with STM32F103 single chip microcomputer, openmv and k210, the device is designed to be used for drug transportation in wards and isolation wards with large workload in the hospital. The device uses openmv to identify the red solid line on the transportation ground of the hospital, Through the dynamic priority scheduling algorithm in PD algorithm, the priority of tasks is dynamically allocated according to the resource requirements of tasks, so as to have greater flexibility in resource allocation and scheduling, realize flexible tracking function and dynamic adjustment process, and make the car drive along the red. K210 visual module is used to reflect the appearance difference through the given training photos, which is as same as the identification number as possible, which is convenient to improve the identification rate. After more identification times, the identification number and its position information can be accurately identified, and the identified number and its position information can be transmitted to stm32f407 single chip microcomputer through serial port communication (considering the need to identify four numbers at the same time, two k210 are installed on the front of each vehicle), stm32f407 single chip microcomputer processes the identification information of k210 and tells STM32F103 single chip microcomputer the movement state of the car at this time through serial port communication. Finally, STM32F103 single chip microcomputer controls the car to move accordingly. The data interaction method of the two cars adopts wireless communication. The system has the advantages of short recognition time, digital recognition accuracy of up to 90% and good stability. It can better complete the drug delivery work required by hospital medical staff, and the work efficiency is higher than manual work. At the same time, the machine itself can also cut off the direct contact between medical staff and patients, which can greatly reduce the number of contact between medical staff and patients, Reduce the prevalence of cross infection and medical staff. The device adopts a multi-level priority scheduling algorithm to assign a priority to each process. During each process scheduling, the scheduler always schedules the task with the highest priority to execute, so as to make the car movement more flexible and more active. It is convenient to deal with some emergencies by using interrupts, which is more reasonable and suitable for real hospital medical work.
{"title":"Intelligent Drug Delivery Car System Using STM32","authors":"Qianyi Zhou, Jiaxing Hu, Yunyi Xu","doi":"10.1109/ICTech55460.2022.00115","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00115","url":null,"abstract":"This system consists of STM32F407 single chip microcomputer, STM32F103 single chip microcomputer, openmv vision module and k210 vision module are composed. Taking stm32f407 single chip microcomputer as the control core, combined with STM32F103 single chip microcomputer, openmv and k210, the device is designed to be used for drug transportation in wards and isolation wards with large workload in the hospital. The device uses openmv to identify the red solid line on the transportation ground of the hospital, Through the dynamic priority scheduling algorithm in PD algorithm, the priority of tasks is dynamically allocated according to the resource requirements of tasks, so as to have greater flexibility in resource allocation and scheduling, realize flexible tracking function and dynamic adjustment process, and make the car drive along the red. K210 visual module is used to reflect the appearance difference through the given training photos, which is as same as the identification number as possible, which is convenient to improve the identification rate. After more identification times, the identification number and its position information can be accurately identified, and the identified number and its position information can be transmitted to stm32f407 single chip microcomputer through serial port communication (considering the need to identify four numbers at the same time, two k210 are installed on the front of each vehicle), stm32f407 single chip microcomputer processes the identification information of k210 and tells STM32F103 single chip microcomputer the movement state of the car at this time through serial port communication. Finally, STM32F103 single chip microcomputer controls the car to move accordingly. The data interaction method of the two cars adopts wireless communication. The system has the advantages of short recognition time, digital recognition accuracy of up to 90% and good stability. It can better complete the drug delivery work required by hospital medical staff, and the work efficiency is higher than manual work. At the same time, the machine itself can also cut off the direct contact between medical staff and patients, which can greatly reduce the number of contact between medical staff and patients, Reduce the prevalence of cross infection and medical staff. The device adopts a multi-level priority scheduling algorithm to assign a priority to each process. During each process scheduling, the scheduler always schedules the task with the highest priority to execute, so as to make the car movement more flexible and more active. It is convenient to deal with some emergencies by using interrupts, which is more reasonable and suitable for real hospital medical work.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"102 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114111833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00076
R. Cheng, Shuya Peng, Ziheng Dai
Butanol and C4 olefins, as important chemical raw materials, are widely used in the production of chemical products and pharmaceutical intermediates. Traditional production methods use fossil energy as raw materials, but with the shortage of fossil energy production and the aggravation of its impact on the environment, the energy supply gradually tends to be diversified, and the development of new clean energy is becoming more and more urgent. Ethanol molecules can be prepared by biomass fermentation. They have a wide range of sources and are green and clean. They are used as platform molecules to produce high value-added butanol and C_4 olefins have great application prospects and economic benefits, and have attracted extensive attention at home and abroad. However, in the current industrial production, the catalyst combination and temperature have a great impact on the conversion of ethylene and the selectivity of C4 olefins, and its selection and control greatly affect the production efficiency of C4 olefins. This paper focuses on the influence effect and degree of two factors on two dependent variables in the process of preparing C4 olefins by ethylene coupling reaction. By establishing the least square curve to fit the temperature and ethanol conversion and the temperature and C4 olefin selectivity, the fitting curve is obtained. It can be seen that the temperature has a primary or quadratic function relationship with the ethanol conversion or C4 olefin selectivity, so it is judged that it has a certain influence, Then the effects of temperature, catalyst group and loading method on ethanol conversion and C4 olefin selectivity were obtained by Spearman correlation coefficient and random forest regression algorithm. Based on this result, the model is established, optimized and analyzed, and the optimal catalyst combination and temperature are obtained, so as to obtain the highest C4 olefin yield and achieve the maximum industrial benefit
{"title":"Study on Ethanol Coupling Reaction Based on BP Neural Network and Correlation","authors":"R. Cheng, Shuya Peng, Ziheng Dai","doi":"10.1109/ICTech55460.2022.00076","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00076","url":null,"abstract":"Butanol and C4 olefins, as important chemical raw materials, are widely used in the production of chemical products and pharmaceutical intermediates. Traditional production methods use fossil energy as raw materials, but with the shortage of fossil energy production and the aggravation of its impact on the environment, the energy supply gradually tends to be diversified, and the development of new clean energy is becoming more and more urgent. Ethanol molecules can be prepared by biomass fermentation. They have a wide range of sources and are green and clean. They are used as platform molecules to produce high value-added butanol and C_4 olefins have great application prospects and economic benefits, and have attracted extensive attention at home and abroad. However, in the current industrial production, the catalyst combination and temperature have a great impact on the conversion of ethylene and the selectivity of C4 olefins, and its selection and control greatly affect the production efficiency of C4 olefins. This paper focuses on the influence effect and degree of two factors on two dependent variables in the process of preparing C4 olefins by ethylene coupling reaction. By establishing the least square curve to fit the temperature and ethanol conversion and the temperature and C4 olefin selectivity, the fitting curve is obtained. It can be seen that the temperature has a primary or quadratic function relationship with the ethanol conversion or C4 olefin selectivity, so it is judged that it has a certain influence, Then the effects of temperature, catalyst group and loading method on ethanol conversion and C4 olefin selectivity were obtained by Spearman correlation coefficient and random forest regression algorithm. Based on this result, the model is established, optimized and analyzed, and the optimal catalyst combination and temperature are obtained, so as to obtain the highest C4 olefin yield and achieve the maximum industrial benefit","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123593282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00026
Jian Tang, Xiwang Li
With the continuous development of power grid informationization, the information security of the power grid is increasingly concerned. Grid traffic classification is an important basis for ensuring information security of the grid. In the process of realizing grid traffic classification, due to the different frequency of grid services and the increasing number of new services, it leads to problems such as unbalanced grid traffic data and dynamic traffic data, etc. The unbalanced traffic data causes the prediction accuracy of small categories to be much lower than the applicable standard, and the dynamic traffic data causes the model update to take a lot of time and resource overhead The dynamic traffic data causes the model update to take a lot of time and resource overhead. To solve these problems, a classification model for unbalanced dynamic grid traffic data (UDTCM) is proposed in this paper. The model uses the statistical characteristics of the flow data to detect the prediction accuracy of the classifier in time and avoid the prediction results from significantly degrading with the change of environment. Meanwhile, a resampling algorithm is used to correct the flow data to improve the data imbalance of grid flows and improve the prediction accuracy of small classes. The experimental results show that the model improves the classification of unbalanced grid flow data and reduces the time and resource overhead of model updates due to data updates.
{"title":"A Classification Model for Unbalanced Power Traffic","authors":"Jian Tang, Xiwang Li","doi":"10.1109/ICTech55460.2022.00026","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00026","url":null,"abstract":"With the continuous development of power grid informationization, the information security of the power grid is increasingly concerned. Grid traffic classification is an important basis for ensuring information security of the grid. In the process of realizing grid traffic classification, due to the different frequency of grid services and the increasing number of new services, it leads to problems such as unbalanced grid traffic data and dynamic traffic data, etc. The unbalanced traffic data causes the prediction accuracy of small categories to be much lower than the applicable standard, and the dynamic traffic data causes the model update to take a lot of time and resource overhead The dynamic traffic data causes the model update to take a lot of time and resource overhead. To solve these problems, a classification model for unbalanced dynamic grid traffic data (UDTCM) is proposed in this paper. The model uses the statistical characteristics of the flow data to detect the prediction accuracy of the classifier in time and avoid the prediction results from significantly degrading with the change of environment. Meanwhile, a resampling algorithm is used to correct the flow data to improve the data imbalance of grid flows and improve the prediction accuracy of small classes. The experimental results show that the model improves the classification of unbalanced grid flow data and reduces the time and resource overhead of model updates due to data updates.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125897101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00090
Tianlei Wang, Jing Zhou, Weilin Liang, Na Xiao, Ye Li, Zhenhua Ou, Junda Deng, Xiangyuan Zhou
In order to solve the problems of difficult medication monitoring and low dispensing efficiency in geriatric homes, this paper designs an intelligent spliced medicine box. The medicine box adopts STM32F407Z as the main control chip, uses the motor to control the rotation of the medicine box to as-sist patients to take out medicine, and has a voice to remind patients to take medicine in time. At the same time, the identification technology is utilized to avoid the elderly taking the wrong medicine. An application program is designed to realize the function of remote monitoring. In addition, the medicine box can be spliced together one by one to form a set of medicine box array, which is convenient for unified dispensing. And the dispensing strategy is optimized, which greatly improves the dispensing efficiency of the nursing homes for the elderly. Finally, intelligent management of medication reminder, medication remote monitoring and rapid dispensing is realized, which has certain practical value in the market.
{"title":"Modelling and Simulation of a Spliced Intelligent Medicine Box","authors":"Tianlei Wang, Jing Zhou, Weilin Liang, Na Xiao, Ye Li, Zhenhua Ou, Junda Deng, Xiangyuan Zhou","doi":"10.1109/ICTech55460.2022.00090","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00090","url":null,"abstract":"In order to solve the problems of difficult medication monitoring and low dispensing efficiency in geriatric homes, this paper designs an intelligent spliced medicine box. The medicine box adopts STM32F407Z as the main control chip, uses the motor to control the rotation of the medicine box to as-sist patients to take out medicine, and has a voice to remind patients to take medicine in time. At the same time, the identification technology is utilized to avoid the elderly taking the wrong medicine. An application program is designed to realize the function of remote monitoring. In addition, the medicine box can be spliced together one by one to form a set of medicine box array, which is convenient for unified dispensing. And the dispensing strategy is optimized, which greatly improves the dispensing efficiency of the nursing homes for the elderly. Finally, intelligent management of medication reminder, medication remote monitoring and rapid dispensing is realized, which has certain practical value in the market.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130097709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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