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<title><![CDATA[expatriates.com - Fuzhou - Wholesale Products]]></title>
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<title><![CDATA[Energy Consumption Data Collection Management System For Injection Molding Workshop – Prop]]></title>
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<description><![CDATA[A large injection molding manufacturer operates multiple production lines, each equipped with high-energy-consumption devices such as injection molding machines, dryers, mold temperature controllers, chiller units, and air compressors. The customer has long faced several challenges: First, electricity, water, and gas meters are scattered across various equipment and distribution cabinets, and data is collected manually each month—an inefficient and error-prone process. Second, there is no real-time visibility into the energy consumption per unit of production (e.g., electricity per product) for each injection molding machine, making it difficult to pinpoint high-energy processes. Third, workshop managers lack tools for analyzing energy consumption trends, which hinders the development of effective energy-saving strategies—resulting in persistently high energy costs.<br/><br/><br/><br/>Therefore, the customer urgently needs a digital management system that can automatically collect multiple types of energy data, correlate them with production output for energy efficiency analysis, and support remote monitoring and alerting. In response, WideIOT provides a reliable and efficient IoT solution. By deploying energy data collection gateways that connect to energy meters (water, electricity, gas, heat, etc.), the system can collect real-time energy consumption data and report it to a local workshop management platform. This enables automatic matching between energy usage and production output, creating a visualized energy dashboard that provides comprehensive and reliable data support for energy management and optimization.<br/><br/><br/><br/>Key Features<br/>1. Covers all energy types including electricity, water, gas, and compressed air. Supports mainstream meter protocols such as Modbus, DL/T645, and CJ/T188. Data collection intervals can be flexibly configured.<br/><br/><br/><br/>2. Allows users to set reasonable thresholds for various energy consumption indicators. When energy usage exceeds the set thresholds, the system immediately sends alerts via SMS, WeChat, email, or other methods, enabling quick identification and corrective actions.<br/><br/><br/><br/>3. Performs multi-dimensional statistical analysis of collected energy data, generating daily, monthly, and annual energy reports. Displays energy distribution and trends across different time periods, devices, and production lines.<br/><br/><br/><br/>4. The gateway is equipped with multiple communication ports (serial/Ethernet), enabling one-to-many data collection from multiple meters. It also features multi-network redundancy, intermittent data retransmission, and other functions to ensure secure and reliable data collection and communication.<br/>]]></description>
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<title><![CDATA[IoT Solution For Data Collection Of A Workshop Heat Recovery System]]></title>
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<description><![CDATA[A smart manufacturing company specializing in the R&D, production, and sales of veterinary drugs and feed additives operates several automated production lines. In terms of energy management, the company faces a key challenge: waste heat generated by existing production processes is dissipated through cooling towers into water tanks, leading to energy waste and high energy costs. To address this, a new heat recovery system has been installed in the workshop to capture waste heat and reuse it for office heating, thereby improving energy efficiency and management.<br/><br/><br/><br/>The company now needs to integrate this heat recovery system into its workshop management platform for centralized monitoring and intelligent control. WideIOT provides a solution by deploying an industrial IoT gateway that connects to the PLC. The gateway collects real‑time data such as inlet/outlet water temperature, inlet/outlet water flow rate, pump status, and valve positions. This data is then transmitted to the workshop management platform via 5G/4G/WiFi/Ethernet, ensuring real‑time reporting, automatic fault alerts, and remote control capabilities for emergency response.<br/><br/><br/><br/>Key Functions<br/>1. Compatible with PLCs, flow meters, thermometers, solenoid valves, etc.<br/><br/>Enables data collection and edge computing. Data is uploaded to the management platform via 5G/4G/WiFi/Ethernet, with support for multi‑network redundancy and store‑and‑forward (data resume on interruption).<br/><br/><br/><br/>2. Real‑time monitoring and visual management<br/><br/>The platform parses incoming data and provides real‑time, visual monitoring of inlet/outlet water temperature, inlet/outlet water flow rate, pump status, valve position, recovery power, recovered heat, cumulative energy consumption, and more.<br/><br/><br/><br/>3. Abnormal condition alerts<br/><br/>Detects various abnormal parameters and sends alerts via WeChat, SMS, or email. Tracks alert frequency and fault distribution, allowing managers to quickly view alarm information and take timely corrective actions.<br/><br/><br/><br/>4. Remote access and control<br/><br/>Provides remote access via both mobile and PC platforms. Authorized managers can remotely control the heat recovery equipment and view equipment status and process parameters through a user‑configurable graphical interface.<br/><br/><br/><br/>5. Unified data management and reporting<br/><br/>Manages all collected data in one place. Reports include energy consumption statistics, equipment operating status, energy savings assessments, and more. Reports can be generated daily, weekly, or monthly to support fast lookup and search.<br/>]]></description>
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<title><![CDATA[What Are The Functions Of A Power Data Acquisition Gateway?]]></title>
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<description><![CDATA[<br/><br/>In smart grids, industrial parks, commercial buildings, and distributed energy scenarios, traditional power data often relies on local SCADA systems or manual meter reading. This leads to issues such as data silos, delayed remote monitoring, and difficulties in fault diagnosis, which affect power safety, energy efficiency management, and power dispatch responsiveness.<br/><br/>WideIOT provides an integrated solution ranging from power data acquisition gateways to cloud-edge collaborative management. The core functions include:<br/><br/>Real-time Acquisition: Connect to various smart meters, multifunction instruments, relay protection devices, UPS systems, power distribution cabinets, etc., to acquire key power parameters such as three-phase voltage, current, power factor, active/reactive power, total harmonic distortion (THD), frequency, and cumulative energy consumption. Data is uploaded to the cloud or energy management platform in real time via 5G/4G/WiFi/Ethernet.<br/><br/>Automated Alerts: When abnormal conditions are detected (e.g., overvoltage/undervoltage, overcurrent, phase loss, frequency fluctuation, harmonics exceeding limits, low power factor, circuit breaker tripping), proactive alerts are triggered (supported via SMS, WeChat, or email). Remote control commands (such as opening/closing breakers, capacitor bank switching, or load regulation) can also be issued remotely.<br/><br/>Visual Dashboard: Provides a cockpit-style display of key metrics for each circuit or critical node, including voltage/current curves, power distribution, power factor trends, peak/flat/valley energy consumption ratios, load rates, and harmonic spectrum. Supports centralized monitoring across multiple sites.<br/><br/>Data Analytics: Supports power consumption trend prediction, peak-valley energy analysis, power factor evaluation, harmonic source tracing, fault waveform playback, and equipment operation efficiency analysis. Assists in developing optimized demand management strategies, capacity-to-demand charge conversion plans, or reactive power compensation optimization schemes.<br/>]]></description>
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<title><![CDATA[What Functions Does An Energy Storage BMS Data Acquisition Gateway Have?]]></title>
<link>http://www.expatriates.com/cls/63325285.html</link>
<description><![CDATA[<br/><br/>In energy storage power stations, commercial and industrial (C&I) energy storage systems, and residential energy storage applications, traditional BMS data is often accessed through local HMI screens or periodic manual exports. This leads to fragmented data, delayed remote dispatching, and slow fault response, compromising system safety and the coordination between power sources, grids, loads, and storage.<br/><br/>WideIOT offers an integrated solution ranging from BMS data acquisition gateways to cloudedge collaborative management. Its core functions include:<br/><br/>▷RealTime Data Acquisition: Connects to various energy storage BMS platforms to collect key parameters such as battery pack voltage, current, individual cell temperature, state of charge (SOC), state of health (SOH), and charge/discharge power. Data is transmitted to the cloud or dispatch platforms via 5G/4G/WiFi/Ethernet.<br/><br/>▷Automated Alarming: When abnormal conditions are detected—such as excessive cell voltage differences, abnormal temperature rise, sudden SOC drops, or insulation faults—the system actively sends alerts (via SMS, email, WeChat, DingTalk, etc.). It also supports remote command execution (e.g., limiting charge/discharge power or disconnecting the PCS).<br/><br/>▷Visual Dashboards: Provides a cockpitstyle overview of each battery cluster, displaying SOC distribution, voltage consistency, highest/lowest cell temperatures, cycle counts, balancing status, and more. Multisite centralized monitoring is supported.<br/><br/>▷Data Analytics: Enables battery aging trend prediction, charge/discharge efficiency analysis, historical fault diagnosis, and balancing effectiveness evaluation. These insights help optimize charge/discharge strategies and maintenance planning.<br/><br/>This solution requires no modifications to the existing BMS hardware—it is plug‑and‑play. It delivers remote visibility, alerting, and traceability for battery status in energy storage systems, improving safety and operational efficiency.<br/>]]></description>
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