Industrial Computer Application Solutions for New Energy Equipment

The new energy industry is undergoing a large-scale, intelligent, and digital transformation and upgrade, with rapid adoption in scenarios such as photovoltaic and wind power generation, energy storage power stations, new energy lithium battery production, and smart microgrids. New energy equipment operates in complex environments, involves frequent data interactions, and requires stringent control precision. Traditional commercial computers suffer from poor stability, limited interfaces, and weak anti-interference capabilities, making them unsuitable for outdoor, high-temperature, and electromagnetically interference-prone industrial environments.

Industrial computers, as the edge core control terminal of intelligent new energy systems, undertake core functions such as data acquisition, real-time monitoring, intelligent scheduling, equipment joint control, and remote operation and maintenance. They are crucial for breaking down information silos among new energy equipment, achieving fully automated control, improving energy utilization efficiency, and ensuring safe equipment operation.

I. Core Application Pain Points in the New Energy Industry

The diverse operating conditions and high management requirements across various new energy scenarios, coupled with the numerous shortcomings of traditional equipment control systems, hinder the industry's intelligent development:

1. Poor Environmental Adaptability: Photovoltaic and wind power equipment are mostly deployed outdoors, exposed to large temperature differences, dust, rain, and strong electromagnetic interference; lithium battery production workshops are dusty and contain slightly corrosive gases, making ordinary equipment prone to malfunctions, crashes, and short lifespans.

2. Severe Data Fragmentation: The diverse brands and inconsistent communication protocols of power generation, energy storage, and production equipment lead to independent operation and data silos, hindering centralized management.

3. Insufficient Real-Time Control Precision: New energy power generation is random and unstable; battery charging and discharging, and unit operation require millisecond-level responses. Traditional control equipment suffers from slow processing speeds and high latency, easily leading to scheduling delays and safety hazards.

4. High Operation and Maintenance Costs: Equipment in new energy power plants and production workshops is dispersed. Traditional manual inspections and on-site debugging are inefficient, costly, and lead to delayed fault diagnosis, easily causing energy loss and equipment damage.

5. Insufficient Interface Expandability: New energy systems need to interface with various devices such as sensors, inverters, PCS, BMS, and PLCs. Traditional computer interfaces are limited and cannot meet the needs of multiple devices accessing simultaneously.

II. Full-Scenario Application Solution for Industrial Computers in New Energy Equipment

Addressing the pain points of four core scenarios—photovoltaic power generation, wind power generation, energy storage power stations, and new energy lithium battery production—CHIPLY industrial computers, relying on industrial-grade hardware configurations and customized functions, create highly adaptable application solutions, fully adapting to the harsh operating conditions of new energy.

(I) Photovoltaic Power Generation Scenario Application Solution

Large-scale ground-mounted photovoltaic power stations and distributed rooftop photovoltaic power stations have dispersed equipment and numerous locations, requiring real-time monitoring of the operating status of photovoltaic modules, combiner boxes, and inverters, and accurate collection of core data such as voltage, current, power generation, and temperature.

The CHIPLY industrial computer is deployed at the edge nodes of photovoltaic (PV) power plants. It can connect to all equipment in the plant via multiple network and serial ports, and is compatible with mainstream PV communication protocols such as ModBUS and MQTT, automatically completing protocol conversion and data aggregation. The device can monitor the operating status of PV modules 24/7, adjusting power generation based on light intensity and ambient temperature, while simultaneously uploading data to the cloud management platform in real time. In the event of module failure, line anomalies, or abnormal power generation, the device immediately triggers an early warning, enabling early detection and handling of faults and significantly reducing PV power plant operation and maintenance costs.

(II) Wind Power Generation Application Solution

Wind power generation is greatly affected by wind speed, wind direction, and extreme weather. Wind turbine blade control, unit safety protection, and power generation data monitoring place extremely high demands on equipment stability and response speed.

CHIPLY industrial computers are specifically designed for harsh outdoor wind power conditions, supporting a wide operating temperature range of -20℃ to 70℃. They offer excellent resistance to electromagnetic interference, shock, and dust, making them suitable for complex wind power environments such as plateaus, deserts, and coastal areas. The equipment collects real-time data on wind speed, wind direction, turbine speed, and nacelle temperature, using high-speed calculations to precisely adjust the turbine blade angle and operating status, maximizing power generation efficiency. In extreme weather conditions such as heavy rain, strong winds, and lightning, it can quickly activate safety protection mechanisms, locking the turbine's operating status to mitigate equipment damage risks and ensure stable all-weather operation of the wind turbine.

(III) Energy Storage Power Station Application Scheme

Energy storage power stations are core facilities for new energy consumption and grid peak shaving and valley filling. Battery cluster charging and discharging management, energy dispatching, and fire safety monitoring are key control points, requiring extremely high levels of equipment safety, stability, and data accuracy.

As a core terminal of the energy storage EMS (Energy Management System), the CHIPLY industrial computer seamlessly connects to the BMS (Battery Management System), PCS (Power Conversion System), and grid monitoring equipment. It collects parameters such as battery voltage, temperature, SOC/SOH status, grid frequency, and charge/discharge power at high frequencies, completing data processing and energy scheduling in milliseconds. The device intelligently optimizes charging and discharging strategies, storing electricity during off-peak hours and discharging during peak hours to improve energy utilization. Simultaneously, it monitors battery temperature differences and voltage anomalies in real time, providing accurate early warnings of safety hazards such as thermal runaway and short circuits, comprehensively ensuring the safe, efficient, and intelligent operation of the energy storage power station.

(IV) Application Scheme for New Energy Lithium Battery Production Scenarios

Core processes in lithium battery production, such as electrode coating, rolling, electrolyte injection, cell assembly, and formation/capacity testing, require high precision and strong equipment interconnectivity, necessitating fully automated data monitoring and equipment control.

The CHIPLY industrial computer, equipped with a high-performance industrial processor, boasts fast processing speed and stable operation. It can link with production line PLCs, testing equipment, and sensors to achieve full-process data acquisition, process parameter control, and equipment status monitoring for lithium batteries. Designed for the dusty and high-precision working conditions of lithium battery production, the equipment adopts a fully enclosed IP65 protection structure, which is dustproof and oil-proof, preventing dust from entering the equipment and causing jams or crashes. At the same time, it supports synchronous control of multiple devices, records production data in real time, facilitates process traceability and optimization, and helps lithium battery production lines achieve automated, standardized and intelligent production.