Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2645/1/012010
Haiwei Li, Maoqun Yao, Conghui Li, Shanhu Shen
Abstract As the structure of existing anti-power attack circuits has certain security problems, this paper proposes a new mask-based control constant power logic circuit based on the existing masking technology. By integrating OR/NOR and AND/NAND circuits into a dual-rail circuit, different circuit logic functions can be controlled by inputting different masks. By introducing two parameters, Normalised Energy Deviation (NED) and Normalised Standard Deviation (NSD), the structure proposed in this paper improves the level of resistance of the circuit to power attacks to a certain extent, as well as reduces the cost of the circuit compared to other power attack resistant circuits.
{"title":"A power constant logic circuit based on mask control","authors":"Haiwei Li, Maoqun Yao, Conghui Li, Shanhu Shen","doi":"10.1088/1742-6596/2645/1/012010","DOIUrl":"https://doi.org/10.1088/1742-6596/2645/1/012010","url":null,"abstract":"Abstract As the structure of existing anti-power attack circuits has certain security problems, this paper proposes a new mask-based control constant power logic circuit based on the existing masking technology. By integrating OR/NOR and AND/NAND circuits into a dual-rail circuit, different circuit logic functions can be controlled by inputting different masks. By introducing two parameters, Normalised Energy Deviation (NED) and Normalised Standard Deviation (NSD), the structure proposed in this paper improves the level of resistance of the circuit to power attacks to a certain extent, as well as reduces the cost of the circuit compared to other power attack resistant circuits.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"86 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716618","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}
Abstract In this paper, the system of dynamic identification and monitoring of water bodies and intelligent allocation of pharmaceutical discharge is designed. At present, aquaculture technology in our country is relatively traditional, and the water environment-bearing capacity will often be ignored. This paper aims to realize the efficiency of equipment in the multiple stages of aquaculture through the design system, the remote control of motion software device, and strive to combine intelligent equipment and the basic process of aquaculture, so as to make the aquaculture industry gradually upgrade. Through the test, our device can dynamically identify and detect the water body, and ensure the fishery output and water quality at the same time, bringing economic and environmental benefits to a great extent.
{"title":"Fisheries Water Quality Monitoring Improvement System","authors":"Junle Jia, Chun Luo, Zhengyi Hou, Qiqi Xia, Xuanhang Ma, Xiang Pan, Awen Ma, Yuru Zheng","doi":"10.1088/1742-6596/2632/1/012016","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012016","url":null,"abstract":"Abstract In this paper, the system of dynamic identification and monitoring of water bodies and intelligent allocation of pharmaceutical discharge is designed. At present, aquaculture technology in our country is relatively traditional, and the water environment-bearing capacity will often be ignored. This paper aims to realize the efficiency of equipment in the multiple stages of aquaculture through the design system, the remote control of motion software device, and strive to combine intelligent equipment and the basic process of aquaculture, so as to make the aquaculture industry gradually upgrade. Through the test, our device can dynamically identify and detect the water body, and ensure the fishery output and water quality at the same time, bringing economic and environmental benefits to a great extent.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"83 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716627","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 : 2023-11-01DOI: 10.1088/1742-6596/2645/1/011002
All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Morressier • Number of submissions received: 36 • Number of submissions sent for review: 36 • Number of submissions accepted: 19 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 52.8 • Average number of reviews per paper: 2 • Total number of reviewers involved: 10 • Contact person for queries: Name: Fengxin Cen Email: alan.cen@gsrassn.org Affiliation: Global Scientific Research Association
{"title":"Peer Review Statement","authors":"","doi":"10.1088/1742-6596/2645/1/011002","DOIUrl":"https://doi.org/10.1088/1742-6596/2645/1/011002","url":null,"abstract":"All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Morressier • Number of submissions received: 36 • Number of submissions sent for review: 36 • Number of submissions accepted: 19 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 52.8 • Average number of reviews per paper: 2 • Total number of reviewers involved: 10 • Contact person for queries: Name: Fengxin Cen Email: alan.cen@gsrassn.org Affiliation: Global Scientific Research Association","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"80 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716635","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 : 2023-11-01DOI: 10.1088/1742-6596/2645/1/012013
Shuicheng Gong, Fuhao Zhang, Gang Xun, Xuesong Li
Abstract With the wide application of Particle Image Velocimetry (PIV) technology in various engineering and research fields, the requirements for the accuracy, computational efficiency, and robustness of PIV algorithms are increasing. Although traditional algorithms have wide applicability, they suffer from low accuracy, large computational cost, and poor robustness. Recently, deep learning algorithms have provided new solutions, especially, convolutional neural networks with different structures, which have achieved good performance on synthetic PIV datasets. This paper proposes a structural improvement scheme for PIV convolutional neural network models. Experiments verify that the proposed method can significantly optimize the performance of the model on synthetic PIV datasets, providing a novel approach for improving other convolutional neural networks for PIV analysis.
{"title":"An Improved Convolutional Neural Network for Particle Image Velocimetry","authors":"Shuicheng Gong, Fuhao Zhang, Gang Xun, Xuesong Li","doi":"10.1088/1742-6596/2645/1/012013","DOIUrl":"https://doi.org/10.1088/1742-6596/2645/1/012013","url":null,"abstract":"Abstract With the wide application of Particle Image Velocimetry (PIV) technology in various engineering and research fields, the requirements for the accuracy, computational efficiency, and robustness of PIV algorithms are increasing. Although traditional algorithms have wide applicability, they suffer from low accuracy, large computational cost, and poor robustness. Recently, deep learning algorithms have provided new solutions, especially, convolutional neural networks with different structures, which have achieved good performance on synthetic PIV datasets. This paper proposes a structural improvement scheme for PIV convolutional neural network models. Experiments verify that the proposed method can significantly optimize the performance of the model on synthetic PIV datasets, providing a novel approach for improving other convolutional neural networks for PIV analysis.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135715701","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 : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012036
Daixing Lu, Yang Zhang, Junjie Lu
Abstract Hydraulic cylinder replacement robot as a new type of engineering machinery has been increasingly used, but its end effector encounters vibrations in the process of clamping the object, so the accuracy of disassembling and assembling the cylinder will be reduced, thus reducing the replacement efficiency and affecting the user’s experience. To address this problem, virtual prototyping technology is used to study the cylinder disassembly process under real working conditions. We use the 3D modeling software Solidworks to construct a model of the cylinder replacement robot. After that, kinematic analysis of the model is carried out, then a dynamics model is built in multi-body dynamics simulation software ADAMS to simulate the process of the robot grasping the object, as a consequence, the trajectory of the end effector is calculated. A controlled dynamic model is established with Simulink and Adams by using the co-simulation technique, and optimization is carried out by using the model. Results show that the optimized control parameter can effectively reduce the end effector vibration and improve the stability and accuracy of the work.
{"title":"Vibration Reduction of Robot End Effector Based on Co-simulation Method","authors":"Daixing Lu, Yang Zhang, Junjie Lu","doi":"10.1088/1742-6596/2632/1/012036","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012036","url":null,"abstract":"Abstract Hydraulic cylinder replacement robot as a new type of engineering machinery has been increasingly used, but its end effector encounters vibrations in the process of clamping the object, so the accuracy of disassembling and assembling the cylinder will be reduced, thus reducing the replacement efficiency and affecting the user’s experience. To address this problem, virtual prototyping technology is used to study the cylinder disassembly process under real working conditions. We use the 3D modeling software Solidworks to construct a model of the cylinder replacement robot. After that, kinematic analysis of the model is carried out, then a dynamics model is built in multi-body dynamics simulation software ADAMS to simulate the process of the robot grasping the object, as a consequence, the trajectory of the end effector is calculated. A controlled dynamic model is established with Simulink and Adams by using the co-simulation technique, and optimization is carried out by using the model. Results show that the optimized control parameter can effectively reduce the end effector vibration and improve the stability and accuracy of the work.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"83 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716626","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 : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012013
Yiming Chen
Abstract Insulators are important components for achieving electrical insulation and mechanical support, but they are prone to various defects in harsh operating environments, which can damage their mechanical strength and insulation performance. This article proposes the Shuffle YOLOv7 model based on the YOLOv7 algorithm for insulator defect detection, aiming to solve the weakness of low precision in traditional object detection algorithms when facing complex backgrounds and small-sized defects. To address the issue of low attention to flashover faults in traditional algorithms, the ShuffleAttention fusion attention mechanism is supplied to concentrate on both intra-channel and inter-channel deep features, and the original PANet structure is replaced with a pyramid which has a bidirectional feature fusion structure to enhance the network’s feature extraction ability. The Focal-EIOU LOSS optimization method focuses on high-quality prior boxes to improve model accuracy, and the effectiveness of the optimization method is verified through ablation experiments. These results of the experiment show that the proposed algorithm achieves varying degrees of performance improvement in terms of precision, recall, average precision, and overall loss compared to mainstream object detection algorithms in detecting insulator damage and flashover.
{"title":"Insulator Defect Detection Method upon Fused Attention Mechanism and Bidirectional Feature Fusion","authors":"Yiming Chen","doi":"10.1088/1742-6596/2632/1/012013","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012013","url":null,"abstract":"Abstract Insulators are important components for achieving electrical insulation and mechanical support, but they are prone to various defects in harsh operating environments, which can damage their mechanical strength and insulation performance. This article proposes the Shuffle YOLOv7 model based on the YOLOv7 algorithm for insulator defect detection, aiming to solve the weakness of low precision in traditional object detection algorithms when facing complex backgrounds and small-sized defects. To address the issue of low attention to flashover faults in traditional algorithms, the ShuffleAttention fusion attention mechanism is supplied to concentrate on both intra-channel and inter-channel deep features, and the original PANet structure is replaced with a pyramid which has a bidirectional feature fusion structure to enhance the network’s feature extraction ability. The Focal-EIOU LOSS optimization method focuses on high-quality prior boxes to improve model accuracy, and the effectiveness of the optimization method is verified through ablation experiments. These results of the experiment show that the proposed algorithm achieves varying degrees of performance improvement in terms of precision, recall, average precision, and overall loss compared to mainstream object detection algorithms in detecting insulator damage and flashover.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"95 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716771","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 : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012019
Xiao Hu, Shenfu Pan, Dongdong Li, Long Feng, Yuan Zhao
Abstract In recent years, with the development of sensors, communication networks, and deep learning, drones have been widely used in the field of object detection, tracking, and positioning. However, there are inefficient task execution and some complex algorithms still need to rely on large servers, which is intolerable in rescue and traffic scheduling tasks. Designing fast algorithms that can run on the airborne computer can effectively solve the problem. In this paper, an object detection and location system for drones is proposed. We combine the improved object detection algorithm ST-YOLO based on YOLOX and Swin Transformer with the visual positioning algorithm and deploy it on the airborne end by using TensorRT to realize the detection and location of objects during the flight of the drone. Field experiments show that the established system and algorithm are effective.
{"title":"An airborne object detection and location system based on deep inference","authors":"Xiao Hu, Shenfu Pan, Dongdong Li, Long Feng, Yuan Zhao","doi":"10.1088/1742-6596/2632/1/012019","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012019","url":null,"abstract":"Abstract In recent years, with the development of sensors, communication networks, and deep learning, drones have been widely used in the field of object detection, tracking, and positioning. However, there are inefficient task execution and some complex algorithms still need to rely on large servers, which is intolerable in rescue and traffic scheduling tasks. Designing fast algorithms that can run on the airborne computer can effectively solve the problem. In this paper, an object detection and location system for drones is proposed. We combine the improved object detection algorithm ST-YOLO based on YOLOX and Swin Transformer with the visual positioning algorithm and deploy it on the airborne end by using TensorRT to realize the detection and location of objects during the flight of the drone. Field experiments show that the established system and algorithm are effective.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"93 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716777","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 : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012005
Jiuxin Hu, Zhihao Pan, Zhiyong Li, Jin Tang
Abstract Registration is a critical task in the field of point clouds, aiming to align data acquired at different times or from different viewpoints for accurate matching. Deep learning methods have made important progress in point cloud registration tasks. However, most existing approaches do not handle the non-overlapping parts of point clouds, resulting in poor performance in low-overlap and noisy scenarios. We propose a registration model called OPSNet, which achieves optimal alignment transformation estimation and overlapping region prediction through an iterative process. OPSNet consists of modules including global feature extraction, overlapping region prediction segmentation, and alignment registration. By utilizing a segmentation algorithm to deal with the non-overlapping parts of data, OPSNet reduces the adverse effects caused by non-overlapping regions in point cloud registration. The model learns feature representations and performs iterative optimization to achieve precise point cloud alignment. We conduct comprehensive experiments on common point cloud registration datasets and compare OPSNet with several classical point cloud registration methods. The experimental results display that OPSNet achieves outstanding performance in terms of rotation and translation errors, outperforming other methods. Additionally, we evaluate the registration performance under different overlap ratios and find that OPSNet can achieve better registration results even in low-overlap scenarios.
{"title":"OPSNet: Point Cloud Registration Based on Overlapping Predictive Segmentation","authors":"Jiuxin Hu, Zhihao Pan, Zhiyong Li, Jin Tang","doi":"10.1088/1742-6596/2632/1/012005","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012005","url":null,"abstract":"Abstract Registration is a critical task in the field of point clouds, aiming to align data acquired at different times or from different viewpoints for accurate matching. Deep learning methods have made important progress in point cloud registration tasks. However, most existing approaches do not handle the non-overlapping parts of point clouds, resulting in poor performance in low-overlap and noisy scenarios. We propose a registration model called OPSNet, which achieves optimal alignment transformation estimation and overlapping region prediction through an iterative process. OPSNet consists of modules including global feature extraction, overlapping region prediction segmentation, and alignment registration. By utilizing a segmentation algorithm to deal with the non-overlapping parts of data, OPSNet reduces the adverse effects caused by non-overlapping regions in point cloud registration. The model learns feature representations and performs iterative optimization to achieve precise point cloud alignment. We conduct comprehensive experiments on common point cloud registration datasets and compare OPSNet with several classical point cloud registration methods. The experimental results display that OPSNet achieves outstanding performance in terms of rotation and translation errors, outperforming other methods. Additionally, we evaluate the registration performance under different overlap ratios and find that OPSNet can achieve better registration results even in low-overlap scenarios.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"93 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716778","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 : 2023-11-01DOI: 10.1088/1742-6596/2645/1/012017
None XinWang, Qi Chao Yang, Hai tao Wang, Yu Zheng, Geng hang Zhong, Jiang wei Zhao
Abstract Two-dimensional sulfide has been widely recognized as a promising new type of catalyst to replace precious metals due to its adjustable electronic structure, low cost, and high stability. In this paper, monolayer molybdenum disulfide (MoS 2 ) and layer-controlled tungsten disulfide (WS 2 ) were successfully prepared by chemical vapor deposition (CVD). The two prepared materials’ morphology, structure, and thickness were investigated. The catalytic performance of two-dimensional sulfides was studied under an acidic environment. The results exhibit good catalytic performance toward hydrogen evolution with 63.6 mV/dec low Tafel slope of MoS 2 and 72.8 mV/dec of WS 2 .
{"title":"Reaction Controllable preparation and electrocatalytic performance of two-dimensional sulfides","authors":"None XinWang, Qi Chao Yang, Hai tao Wang, Yu Zheng, Geng hang Zhong, Jiang wei Zhao","doi":"10.1088/1742-6596/2645/1/012017","DOIUrl":"https://doi.org/10.1088/1742-6596/2645/1/012017","url":null,"abstract":"Abstract Two-dimensional sulfide has been widely recognized as a promising new type of catalyst to replace precious metals due to its adjustable electronic structure, low cost, and high stability. In this paper, monolayer molybdenum disulfide (MoS 2 ) and layer-controlled tungsten disulfide (WS 2 ) were successfully prepared by chemical vapor deposition (CVD). The two prepared materials’ morphology, structure, and thickness were investigated. The catalytic performance of two-dimensional sulfides was studied under an acidic environment. The results exhibit good catalytic performance toward hydrogen evolution with 63.6 mV/dec low Tafel slope of MoS 2 and 72.8 mV/dec of WS 2 .","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716779","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 : 2023-11-01DOI: 10.1088/1742-6596/2636/1/012050
Changcheng Song, Zhaojun Lu, Wen Zhang, Ao Guo
Abstract Considering the application of biomass energy, the Biomass Integrated Energy System (BIES) was first constructed. An integrated energy system operation optimization model was proposed with the objective functions of minimizing economic costs and maximizing clean energy utilization. Secondly, according to the characteristics of biomass Cogeneration, the scheme of adjusting the ratio of heat and power is proposed. Finally, a simulation analysis was conducted on a certain region in China. The results indicate that utilizing biomass energy in an integrated energy system can greatly reduce operating costs and improve energy utilization efficiency. After the heat-to-power ratio is adjusted, economic costs can be reduced again by 7.66%, and clean energy utilization can be increased by 6.15%.
{"title":"Operation Optimization of Biomass Integrated Energy System Based on Adjustable Heat-to-Electric Ratio","authors":"Changcheng Song, Zhaojun Lu, Wen Zhang, Ao Guo","doi":"10.1088/1742-6596/2636/1/012050","DOIUrl":"https://doi.org/10.1088/1742-6596/2636/1/012050","url":null,"abstract":"Abstract Considering the application of biomass energy, the Biomass Integrated Energy System (BIES) was first constructed. An integrated energy system operation optimization model was proposed with the objective functions of minimizing economic costs and maximizing clean energy utilization. Secondly, according to the characteristics of biomass Cogeneration, the scheme of adjusting the ratio of heat and power is proposed. Finally, a simulation analysis was conducted on a certain region in China. The results indicate that utilizing biomass energy in an integrated energy system can greatly reduce operating costs and improve energy utilization efficiency. After the heat-to-power ratio is adjusted, economic costs can be reduced again by 7.66%, and clean energy utilization can be increased by 6.15%.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"21 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763534","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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