Introduction to the results:

Wind power generation is an important part of the development of new energy in my country, and large wind turbines are one of the most important key equipment in the wind power generation system. The operating status and service life of each part of the wind turbine have an important impact on the safe operation of the entire wind turbine. Among them, during maintenance and strong winds, braking must be used to achieve shutdown. Due to the continuous wear of the brake brake during long-term use, its braking performance will inevitably be affected, thus endangering the safe operation of the fan. By analyzing the characteristics of large-scale wind turbine brakes, this project proposed a brake wear monitoring method, established a brake life prediction model, and developed a brake monitoring device.

Application prospects and market forecasts:

(1)With the global energy shortage, wind power generation as a clean energy source has developed rapidly at home and abroad. my country's development goal is to generate 20 to 30 million kilowatts of wind power by 2020.

(2)A large number of failures occur in the wind power generation system in actual operation, which seriously affects the operation and efficiency of wind turbines. Brake brakes are important components of large-scale wind turbines. Just like the brakes of cars and motorcycles, once they fail, it will seriously affect the safe operation of the wind turbine and cause major accidents.

(3)technical status

At present, the detection of wind turbine brakes is mainly achieved through regular maintenance. It is impossible to analyze and predict the wear loss, future trends and service life of the brakes, and it cannot provide guidance to maintenance personnel.

(4)application prospect

The wear degree of the wind turbine brake is detected in real time, and the change curve and working status of the wind turbine brake are given based on the analysis of the time data. Therefore, the state detection device of the wind turbine brake is of great significance to improving its operating efficiency and extending its working life.  the present

Achievements Innovation:

The project comprehensively uses computer, PLC and sensor detection technology to develop a wind turbine brake monitoring device to realize the status monitoring of the wind turbine brake, provide trend analysis and life prediction of its status, which is of great significance for maintenance personnel to deal with problems in a timely manner, reduce on-site testing time and human error, and improve the utilization rate and efficiency of wind turbines.

Function description:

Real-time monitoring of brake clearance size and curve display;

Temperature monitoring and fault display;

Voice alarm prompt for fault status;

It has real-time data browsing, real-time data curve drawing, and historical data browsing functions.

Practicality of technology:

It is mainly used to detect the status of the brake, use displacement sensors to detect the wear degree of the brake, predict the working life of the brake, and provide guidance for predictive maintenance.

The conclusions of this project can also be promoted and applied to elevators, automobiles, electric vehicles and other related fields.

If the total investment is 1 million yuan (mainly used for equipment investment and site adaptation transformation), the economic benefit forecast (calculated based on the lowest sales price): 1 million yuan is invested, calculated based on the project forming a production capacity of 500 units/year:

Sales revenue can reach: 20,000.00 yuan/set x 500 sets/year = 10 million yuan/year, production cost: 3,000.00 yuan/set 400 sets/year = 1.5 million yuan/year, which can bring economic benefits of more than 8.5 million yuan/year.                                              

National patents applied for or obtained:

(1)Invention patent application: A control method for braking device (20081020360.9)

(2)Invention patent: A method for predicting brake shoe friction coefficient (20091019889.8)

(3)Invention patent: A method for predicting brake life (20091019889.9)

(4)Utility model patent: A wind turbine fault diagnosis device (200820156084.8)

(5)Utility model patent: A brake shoe yaw prediction device (200820156081.4)

(6)Utility model patent: A wind turbine control device (200820156084.8)