┃ LiGa Wind Resource Platform
In order to better assist the efficient site selection and operation &maintenance management of wind farms, make the investment and development of wind farms being “visible and tangible”. The LiGa wind resource assessment platform built by CSSC Haizhuang Windpower combines big data technology and geographic information technology (GIS) to escort the site selection and operation of wind farms.
The geographic information technology (GIS) enables CSSC Haizhuang Windpower to acquire the best return by conducting accurate wind resource assessment, wind farm site selection, equipment optimization and turbine layout.
Realize the planning and design of digital wind farms, and optimize the wind turbine layout plan according to the factors such as annual average wind speed, main wind direction, altitude, slope, wind rotor diameter, distance between wind turbines, and wind farm layout range.
┃ Micro Service Diagnosis and Early Warning Platform
In order to speed up the construction of smart wind turbines and intelligent wind farms, CSSC Haizhuang Windpower has independently developed a wind power diagnosis and early warning platform for onshore and offshore wind farms, by using the years’ technologies and experience accumulated in the field of wind power equipment design&manufacturing, and wind farm O&M. The platform focuses on the smart wind farm O&M and deeply integrates wind turbine mechanism, wind turbine operation data, artificial intelligence algorithms, and wind farm O&M, realized the model packaging and strategic reuse of wind turbine fault diagnosis and fault early warning. So as to support the intelligent fault diagnosis and prediction of wind turbines, system O&M optimization and other business applications. The main application functions of the platform are described as follows:
01
Main Interface of Platform
02
Monitoring of Wind Farm Condition
05
Optimized Module of O&M Strategy
Main Interface of Platform
While logging into the platform, the interface will display the model warning accuracy rate, warning information overview, wind farm fault statistics, etc.
Monitoring of Wind Farm Condition
In the state of monitoring, various state parameters of the wind turbines are displayed online, including the temperature and speed of the major components, as well as the power grid, energy efficiency information, SCADA warning, etc.
Fault Alarm
The microservice platform has deployed dozens of diagnosis and early warning models, including large components such as gearbox, generator and frequency converter. Data used by model include SCADA data, vibration data and fault B file. As long as data connected, the model will analyze and process the data, and make early warning and diagnosis.
CMS Vibration Analysis
The main function of CMS vibration data analysis platform is to uniformly integrate and analyze the vibration data of transmission chain manufacturers. By analyzing the vibration data to obtain spectrum diagram, envelope diagram, order diagram, etc. Professional engineers are able to lock the fault points or find potential hidden dangers in advance according to these diagrams. Meanwhile, they can model the analyzed CMS data.
Optimized Module of O&M Strategy
By using AI algorithm and machine learning, arranging the route and sequence of O&M under the consideration of cost and time of O&M, as well as weather, route, fault level, spare parts and other information. In the process of O&M, we can choose different models such as the lowest comprehensive cost and the least power loss to generate different intelligent O&M strategies.
┃ LiGa Operation&Maintenance Platform
LiGa O&M Platform can provide the comprehensive solutions for offshore and onshore operation and maintenance, and provide remote intelligent O&M services for customers.
01
Remote Real-time Monitoring and Autonomous Analysis
02
Offshore Intelligent O&M Scheduling
03
Automation of regular O&M for large onshore base
04
KPI Analysis of O&M Indicators
05
Preventive maintenance based on the big data algorithm model
06
Mobile Handheld O&M Management
Remote Real-time Monitoring and Autonomous Analysis
（Real-time Monitoring）
（Autonomous Analysis）
● There is no need operators on-site, and it can realize the remote real-time of wind turbines.
● Autonomous analysis operation indicators: average wind speed of wind farm, daily power generation, cumulative power generation, bearing temperature, etc.
● Pushing online SCADA fault alarms of wind turbine
Offshore Intelligent O&M Scheduling
● The scheduling algorithm can optimize the tasks and paths of offshore O&M, and provide intelligent offshore O&M solutions.
Automation of regular O&M for large onshore base
According to the wind farm project attribute and wind turbine configuration, the Liga O&M system automatically can match the regular maintenance standards. Provie O&M solutions for large onshore bases and decentralized wind farms.
KPI Analysis of O&M Indicators
Multi-dimensional automatic statistical analysis for indicators of availability, power generation and reliability.
Preventive maintenance based on the big data algorithm model
● Correlating the early warning results of model to conduct on-site preventive maintenance
● Reducing the loss of power generation
● Preparing the spare parts in advance
● Decreasing the cost of O&M
Mobile Handheld O&M Management
Adopting the mobile APP to monitor the operation status of wind farm and send work orders in combination with on-site operation and maintenance.
