The document describes an electromagnetic flow meter manufactured by BCST Group. It discusses the meter's simple structure with no moving parts, its ability to measure flow without interrupting the fluid, and its high accuracy that is not affected by fluid parameters. It also provides details on the meter's display, data logging and communication capabilities, and lists its technical specifications.
The document describes the JC-080 smart vortex flowmeter. It can measure the flow of industrial fluids like gas, liquid, and steam with high accuracy. It has a low pressure loss and wide measurement range. The flowmeter uses the Karman vortex street principle to measure volumetric flow by detecting vortex shedding frequency from a bluff body in the flow stream. It provides pulse output signals and 4-20 mA current output. The document provides technical specifications, operating principles, installation requirements, and model selection guidelines.
BCST can make compact electromagnetic flow meter , insertion electromagnetic flow meter , JC090, JC091 , welcome to visit our website www.bcstgroup.com
BCST Flow Measurement Solution , include electromagnetic flow meter , ultrasonic flow meter , vortex flow meter , thermal mass gas flow meter , v-cone flow meter
This document provides information on various flowmeter models from Jiangsu Jiechuang Science and Technology Co., Ltd. It lists 12 models of flowmeters from JC-090 to JC-010 that can measure liquids, gases, and steam with pipe sizes ranging from DN10 to DN6000. Key specifications listed include material, viscosity range, accuracy, temperature range, power supply, and more. It also provides a functional safety verification certificate from Ente Certificazione Macchine, verifying that several of the listed models are capable of safety instrumented function (SIF) applications up to SIL 2 level when properly designed into the safety system.
The document describes an electromagnetic flow meter manufactured by BCST Group. It discusses the meter's simple structure with no moving parts, its ability to measure flow without interrupting the fluid, and its high accuracy that is not affected by fluid parameters. It also provides details on the meter's display, data logging and communication capabilities, and lists its technical specifications.
The document describes the JC-080 smart vortex flowmeter. It can measure the flow of industrial fluids like gas, liquid, and steam with high accuracy. It has a low pressure loss and wide measurement range. The flowmeter uses the Karman vortex street principle to measure volumetric flow by detecting vortex shedding frequency from a bluff body in the flow stream. It provides pulse output signals and 4-20 mA current output. The document provides technical specifications, operating principles, installation requirements, and model selection guidelines.
BCST can make compact electromagnetic flow meter , insertion electromagnetic flow meter , JC090, JC091 , welcome to visit our website www.bcstgroup.com
BCST Flow Measurement Solution , include electromagnetic flow meter , ultrasonic flow meter , vortex flow meter , thermal mass gas flow meter , v-cone flow meter
This document provides information on various flowmeter models from Jiangsu Jiechuang Science and Technology Co., Ltd. It lists 12 models of flowmeters from JC-090 to JC-010 that can measure liquids, gases, and steam with pipe sizes ranging from DN10 to DN6000. Key specifications listed include material, viscosity range, accuracy, temperature range, power supply, and more. It also provides a functional safety verification certificate from Ente Certificazione Macchine, verifying that several of the listed models are capable of safety instrumented function (SIF) applications up to SIL 2 level when properly designed into the safety system.
This document provides specifications for the JC-56L Magnetic Level Indicator. It includes information on available models with different outputs, materials, densities, temperatures, pressures, and flange sizes. An example model is specified: the basic type, side mounted, without output, with a 304 stainless steel body, 0.45-0.51 g/cm3 density, operating at 1.6MPa and normal temperature, with a 2" ANSI flange and 500mm measuring range. The second document is a safety certificate from Ente Certificazione Macchine verifying the JC-56L and other models are capable of Safety Integrity Level 2 when used properly in safety systems, as outlined in IEC
Newest catalog for Jiangsu Jiechuang Science And Technology Co.,Ltd Emily Xu
This document lists different types of instruments including flow, pressure, calibration, temperature, level, and display instruments as well as control valves and others. The document does not provide details about the instruments but rather lists their types with dashes of varying lengths below each type.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise stimulates the production of endorphins in the brain which can help alleviate feelings of stress or sadness.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
This document provides specifications for the JC-56L Magnetic Level Indicator. It includes information on available models with different outputs, materials, densities, temperatures, pressures, and flange sizes. An example model is specified: the basic type, side mounted, without output, with a 304 stainless steel body, 0.45-0.51 g/cm3 density, operating at 1.6MPa and normal temperature, with a 2" ANSI flange and 500mm measuring range. The second document is a safety certificate from Ente Certificazione Macchine verifying the JC-56L and other models are capable of Safety Integrity Level 2 when used properly in safety systems, as outlined in IEC
Newest catalog for Jiangsu Jiechuang Science And Technology Co.,Ltd Emily Xu
This document lists different types of instruments including flow, pressure, calibration, temperature, level, and display instruments as well as control valves and others. The document does not provide details about the instruments but rather lists their types with dashes of varying lengths below each type.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise stimulates the production of endorphins in the brain which can help alleviate feelings of stress or sadness.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.