Humanised display interface design: the display interface adopts modular design concept and is divided into four main parts: parameter display area, status indication area, operation menu area and alarm prompt area. Parameter display area dynamically displays the real-time operating parameters of the equipment, supporting a variety of data display forms, such as numbers, charts, dashboards, etc., which is convenient for the operator to intuitively understand the operating status of the equipment; status indication area through different colours of the indicators and icons, intuitively show the working status of the equipment, such as normal operation, standby, failure, etc.; operation menu area adopts a hierarchical menu structure, the operation logic is concise and straightforward, and the operation can be easily accessed to all levels of the menu, to carry out the operation of the alarm prompt area through the keys. The operation menu area adopts a hierarchical menu structure with simple and clear operation logic, through key operation, it can easily enter the menus at all levels to carry out operations such as parameter setting, function configuration, data query, etc. Alarm prompting area reminds the operator of the flashing icons and sound alarms in case of abnormalities of the equipment, and at the same time, it displays the detailed alarm information, including the type of alarm, the time of occurrence, and the possible reasons, etc., which can help to locate and solve the problems quickly.
Powerful and reliable control function
Accurate and stable equipment control: UN930 has a built-in high-performance microprocessor and specialised control chip with powerful computing and control capabilities. Through preset control algorithms and logic programmes, it is able to accurately control the connected marine equipment. For example, in the control of ship lighting system, it can realise independent switching control and brightness adjustment for each lamp or a group of lamps with an accuracy of up to 1%. For the dimming function, PWM (Pulse Width Modulation) technology is used to achieve smooth, flicker-free brightness adjustment by adjusting the duty cycle of the pulse signal, which not only meets the lighting needs of different scenes, but also saves energy effectively. In terms of ventilation system control, the speed of the fan can be automatically adjusted according to the sensor data of cabin temperature, humidity, harmful gas concentration, etc., so as to match the ventilation volume with the actual demand, and maintain the cabin air quality and environmental comfort.
Flexible and diversified control modes: It supports three modes of manual control, automatic control and remote control to meet the operational needs in different scenarios. In manual control mode, the operator can operate the equipment directly through the buttons and knobs on the controller panel, which is suitable for equipment debugging, emergency handling, etc. In automatic control mode, the controller automatically completes the control of the equipment according to the preset procedures and sensor feedback data, realising the intelligent operation of the equipment. For example, in the cabin ventilation system of a ship, when the temperature sensor detects that the cabin temperature exceeds the set threshold, the controller automatically starts the fan and adjusts the fan speed to the appropriate speed; when the temperature drops to the normal range, it automatically reduces the fan speed or stops the operation. Remote control mode is connected to the ship's central control system or remote monitoring terminal through RS232 communication interface, so that the operator can carry out real-time monitoring and control of the equipment on the bridge, in the monitoring room or in other remote locations, thus realising centralised management and remote operation and maintenance of the ship's equipment.
Intelligent data processing and management
Real-time Data Acquisition and Monitoring: UN930 has powerful data acquisition capability, which can simultaneously access multiple sensor signals and support analogue input (e.g. voltage, current, temperature, pressure, etc.) and digital input (e.g. equipment status switch signal). The data acquisition frequency can be up to 100 times / sec, which can obtain real-time and accurate equipment operation data. The collected data is pre-processed by filtering, amplification, A/D conversion, etc., and then transmitted to the microprocessor inside the controller for analysis and processing. At the same time, the controller has a built-in data buffer, which can temporarily store the collected data to ensure that the data is not lost in case of communication interruption or system failure. Through real-time data monitoring, abnormalities in equipment operation, such as parameter overruns and equipment failures, can be detected in a timely manner and alarm signals can be issued immediately.
Fault diagnosis and predictive analysis: Based on the collected equipment operation data, UN930 adopts advanced fault diagnosis algorithms and models, which can quickly locate and diagnose equipment faults. When an abnormality occurs in the equipment, the controller determines the type and cause of the fault through the comprehensive analysis of multiple related parameters, combined with the preset fault rule base, and displays detailed fault diagnosis information on the display. For example, in the ship pump system, when the pump current is detected to be abnormally high, the outlet pressure drops and the running time exceeds a certain threshold, the controller can diagnose the pump may be clogged or impeller damage and other faults, and give the corresponding maintenance recommendations. In addition, the controller also has a fault prediction function, through the trend analysis of equipment historical data and real-time data, the use of machine learning algorithms to establish equipment health model, predict the future operating state of the equipment and possible failures, issued in advance warning, so that maintenance personnel can carry out preventive maintenance before the failure occurs, reducing equipment downtime and maintenance costs.
email:1583694102@qq.com
wang@kongjiangauto.com