Lifecycle Management and Operations and Maintenance Centered on Equipment
Real-time monitoring of equipment health indices, and automated management of equipment operation, inspection, maintenance, and the entire lifecycle. Intelligent dispatching models are used to efficiently control equipment facilities, extend equipment life, and reduce operational costs. This approach increases equipment usage, reduces failure rates, and preserves and increases the value of equipment and facilities.
System Features Include:
Efficiency Improvement: Provides a complete set of features including object model configuration, device access, automatic data collection, and data reporting, ready to use upon installation. One object, one code, terminal scanning for operations, and intelligent dispatching models achieve efficient control of equipment operations and maintenance.
Data Visualization: Scattered data is connected, and massive maintenance data is instantly transformed into usable and visible data assets.
Asset Preservation: Equipment is inspected and maintained periodically to detect and resolve anomalies and failures, reducing equipment maintenance costs and extending the equipment lifecycle.
Connect with over 200 mainstream devices, all controlled from one screen.
Centralized monitoring of the operation and maintenance status of various equipment subsystems and risk control. Automatic inspections, with alarms automatically generating work orders.
System features include:
Centralized Presentation: Visualization, real-time, and dynamic display of sensors, meters, PLCs, smart devices, mechanical and electrical equipment, etc.
Data Collection: Real-time data collection and analysis, early fault warning, supporting on-site manual handling or remote control.
Intelligent Scenarios: Remote commands for equipment events, real-time push of equipment abnormal information to maintenance workers.
Using IoT methods to enhance the use of renewable energy, improve efficiency, reduce costs, and create outstanding value for all stakeholders.
Main application scenarios include:
Centralized Monitoring: Real-time understanding of the status of all connected devices to ensure efficient operation and immediate identification of issues.
Control and Management: Automation and remote control for conveniently adjusting the flow, storage, and intelligent use of energy to meet demands and reduce costs.
Intelligent Optimization: Utilizing smart algorithms to improve energy efficiency, reduce costs, and promote the use of renewable energy.
Inverter Integration: Providing investors with clear reports on performance and environmental benefits.
Interaction with the Public Power Grid: Integrating with the power grid to achieve stable energy exchange, peak reduction, load balancing, and demand response.
Metering and Analysis: Monitoring energy usage through smart meters to gain insights, optimize, and achieve cost savings.
Electric Vehicle Charging Station Integration: Efficiently managing electric vehicle charging stations to ensure they are powered on demand and prioritize the use of renewable energy.
Battery Energy Storage Management: Optimizing battery usage and electric vehicle charging to improve efficiency and meet demand.
Build a closed-loop management process for work orders from generation to acceptance, handling, and completion acceptance. It features automatic assignment and cross-department collaboration, effectively recording work order information, standardizing service processes, and saving more time costs.
Main application scenarios include:
Facility management, manufacturing, property management, and scenarios related to equipment management.
Collect and summarize various energy consumption data such as water, electricity, and central air conditioning. Monitor and analyze energy consumption data, analyze equipment data based on energy threshold/warning models, and automatically generate alarm work orders to resolve faults in a timely manner. Achieve automatic accounting, billing, payment reminders, and bill pushing for energy consumption costs, and reduce energy loss and achieve energy saving and emission reduction through scientific control of energy-consuming equipment.
Main application scenarios include:
Building energy management, factory energy management, etc.
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