Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471110
Jinyu Yang, Hongxiu Zhao
In this paper, a distributed management system based on battery integrated management unit and battery monitoring unit is proposed by using fieldbus communication. In order to solve the problem of high voltage disturbance in battery unit measurement, a voltage controlled constant current power supply was proposed. The internal temperature of all-electric bus battery was simulated by computer aided theory and numerical method, and the maximum temperature of battery under different working conditions was compared. The battery pack integrated manager also has an RS-485 communication interface, which is used for data interaction with the battery cell detection module, and the communication interface is used for data interaction with the entire vehicle integrated controller and is also equipped with an LCD display and a small keyboard, which can display the battery voltage and the battery status in real time. Through the research of this project, the battery can be in the best working condition in bad weather. It effectively improves the service life of the power battery and extends the service time of the vehicle.
{"title":"Research on Optimization of Computer Digital Electric Vehicle Battery Management System","authors":"Jinyu Yang, Hongxiu Zhao","doi":"10.1109/ICPECA60615.2024.10471110","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471110","url":null,"abstract":"In this paper, a distributed management system based on battery integrated management unit and battery monitoring unit is proposed by using fieldbus communication. In order to solve the problem of high voltage disturbance in battery unit measurement, a voltage controlled constant current power supply was proposed. The internal temperature of all-electric bus battery was simulated by computer aided theory and numerical method, and the maximum temperature of battery under different working conditions was compared. The battery pack integrated manager also has an RS-485 communication interface, which is used for data interaction with the battery cell detection module, and the communication interface is used for data interaction with the entire vehicle integrated controller and is also equipped with an LCD display and a small keyboard, which can display the battery voltage and the battery status in real time. Through the research of this project, the battery can be in the best working condition in bad weather. It effectively improves the service life of the power battery and extends the service time of the vehicle.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"99 1-2","pages":"1361-1365"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530365","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471113
Guinan Zhao, Lei Li, Xiaodong Liu, Ran Zhao, Wenjie Tang, Fangji Gan
To enable real-time monitoring of fire operations within construction sites and to reduce the chance of fires, this paper proposes a detection algorithm that incorporates target recognition and image processing. Firstly, we add an attention mechanism to YOLO V7 to increase the localization accuracy of highlighted areas. Secondly, we use an image processing algorithm to identify the presence of fire in the localized area and recheck the localized highlighted area to improve the detection accuracy. After the verification is complete, this paper proposes a method based on monocular visual ranging to detect the presence of staff around the fire light to further confirm the authenticity of the fire operation and finally complete the detection of the fire moving operation. To verify the reliability and recognition accuracy of the algorithm, experiments were conducted on the dataset collected at the construction site, including ablation experiments on different target recognition networks and the application of different attention mechanisms. In addition to experiments on image segmentation of different highlighted areas located, and finally, extensive verification experiments on monocular visual ranging experiments are carried out. The experimental results show that the algorithm enables an effective detection of fire operations.
{"title":"Research on Detection Algorithm of Hot Work Based on Target Recognition and Image Processing","authors":"Guinan Zhao, Lei Li, Xiaodong Liu, Ran Zhao, Wenjie Tang, Fangji Gan","doi":"10.1109/ICPECA60615.2024.10471113","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471113","url":null,"abstract":"To enable real-time monitoring of fire operations within construction sites and to reduce the chance of fires, this paper proposes a detection algorithm that incorporates target recognition and image processing. Firstly, we add an attention mechanism to YOLO V7 to increase the localization accuracy of highlighted areas. Secondly, we use an image processing algorithm to identify the presence of fire in the localized area and recheck the localized highlighted area to improve the detection accuracy. After the verification is complete, this paper proposes a method based on monocular visual ranging to detect the presence of staff around the fire light to further confirm the authenticity of the fire operation and finally complete the detection of the fire moving operation. To verify the reliability and recognition accuracy of the algorithm, experiments were conducted on the dataset collected at the construction site, including ablation experiments on different target recognition networks and the application of different attention mechanisms. In addition to experiments on image segmentation of different highlighted areas located, and finally, extensive verification experiments on monocular visual ranging experiments are carried out. The experimental results show that the algorithm enables an effective detection of fire operations.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"95 4","pages":"1179-1186"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530369","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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