Smart wind power | Tupu software digital twin wind turbine equipment, 3D visual intelligent operation and maintenance

6 month 1 Japan , The people's Government of Fujian Province issued a circular on 《 Fujian Province “ the 14th Five-Year Plan ” Special plan for energy development 》 The notice of . Planning requirements , Add the construction scale of wind power . since “30·60” After the promulgation of the dual carbon target , All walks of life have pressed the "carbon reduction" policy “ Accelerator key ”, Zero carbon has become a hot word in the industry . With the progress of intelligent technology and the acceleration of wind power industrialization , The development of wind power in China has the industrial foundation of large-scale development and application . When big data 、 Digital technologies such as artificial intelligence cross the wind power industry , Smart fans came into being .

Tupu software relies on self-developed HT for Web product , Build a set of digital twin system for large-scale wind turbine management , Involving online monitoring 、 Fire monitoring and production monitoring . By providing a visual management solution for the whole life cycle of the wind turbine , Help customers reduce costs , Improve management efficiency . Users can use different monitoring modules , Realization 360 Select to view the corresponding monitoring content data , Zoom in, zoom out, and pan the scene to see the scene effect 、 Data indicators 、 Equipment status, etc .

Production monitoring

In the field of new energy wind power , The wind turbine drives the blades to rotate through the wind energy , The generated mechanical energy is transmitted to the generator , Finally, it is converted into electric energy . Clean 、 Good environmental benefits 、 reproducible , Inexhaustible characteristic , Zero emission can be achieved gradually . Therefore, the monitoring of production efficiency is particularly important .

Tupu software uses self-developed HT for Web product , Built a three-dimensional model of the internal power generation process of the fan system .1:1 Restore the external structure and main components of the fan , And through docking the real-time data of physical sensors , Restore the key data of each component of the fan , Building a comprehensive production perception of wind farm units , Implement environment 、 Electric quantity 、 Performance visualization .

Visualization of wind turbine power generation

2D The panel shows the relevant indicators of fan power generation ： Power generation 、 The wind speed - Power and accurate indicators of main power generation operation . And the variation trend of power generation with wind speed is shown through the curve , The staff can clearly grasp the power generation law , Make adjustments in time , Avoid generating capacity loss caused by improper arrangement of operation and maintenance activities .

Main power generation operation parameters

The statistical table of monthly power generation is one of the important contents of operation , Its authenticity and reliability are directly linked to economic benefits . Using graph flapping software HT Rich charts and animation effects are used to interpret the data of power generation operation parameters in different dimensions .

Fan mode switching

The main form of the fan is divided into three types ： entity model 、 Wireframe model and explosion effect . By clicking on the button below , You can switch to the corresponding configuration of the button . Click the explosion effect to intuitively understand the appearance and structure of the main components in the engine room .

The power generation process is described in wireframe mode , The user can click the fan part to view the corresponding details , And displayed in 2D Panel . Including pitch shaft 、 The cabin 、 Spindle 、 Real time display of generator and gearbox parameters , Monitor the fan component temperature , And give early warning instructions .

left 2D The panel displays the basic information of the fan , Include the fan name 、 power 、 The wind speed 、 wind direction 、 And ambient temperature .

Online monitoring

The condition monitoring and fault judgment during the operation of wind turbine is to ensure the safe operation of wind turbine 、 An important factor in obtaining long-term stable income . therefore , Except for the main bearing 、 Gearbox 、 The generator and other equipment in the engine room shall be subject to on-line monitoring , The blades should also be 、 Bolts and other important parts shall be monitored . Fipu software is designed for different application scenarios and features , Real time display of fan operating parameters . Including blade monitoring 、 Bolt monitoring 、 Corrosion monitoring 、 Tower monitoring and submarine cable monitoring . real-time display 、 Judge the operation condition of the fan , Prompt alarm information in time , It is convenient for users to make response decisions at the first time .

Blade monitoring

The blades are used by the wind turbine to feel the wind energy “ Antenna ”, It is the first and heavier pressure bearing component in several major systems of the fan . Intelligent monitoring system built by Tupu software , Images and results acquired by aerial tilt photography , Real time feedback of blade operation status . The user clicks the tip of a blade in the 3D fan model with a specific number 、 On the middle 、 Under the middle 、 The blade root and other parts can be aligned to the windward side 、 By cover 、 Leading edge 、 Total trailing edge 48 View the defect pictures of parts , It is convenient for the user to quickly check the blade health , Nip the risk in “ cradle ”.

Bolt monitoring

The tower bolt and blade root bolt online monitoring module can monitor the fastening status of the connecting bolts at the key positions of the fan in real time 、 Reverse rotation looseness 、 Bolt pretightening force deviation and other data , Effectively guarantee the safe and stable operation of the unit .

Corrosion monitoring

The traditional corrosion monitoring is mainly to install and take out the coupon for detection during the shutdown and maintenance , The structure of the material to be destroyed , Long test time , And the results obtained are often the sum of corrosion in the whole test cycle , Not suitable for field use . Fipu software connects corrosion sensors and environmental multi factor sensors , Show the corrosion current at the installation point of the equipment 、 Potential 、 Corrosion amount and other parameters , So as to effectively characterize environmental corrosivity , It provides a scientific basis for the corrosion causes of offshore wind power and the formulation of corresponding anti-corrosion measures .

Tower monitoring

Mapo Software HT The engine deploys sensors by docking at multiple levels , Monitor the inclination of the whole tower 、 Tower base angle monitoring , Early warning , Ensure that the tower is in a healthy and stable operation state , Reduce accidents .

Submarine cable monitoring

The offshore wind turbine submarine cable monitoring module can obtain the sensor data through the interface , Real time monitoring of temperature and voltage of submarine cables . Judge whether the submarine cable marshalling circuit is abnormal , Play the role of timely early warning for submarine cable failure .

Fire monitoring

The fire monitoring module is mainly connected to the sensors arranged at various positions in the wind turbine generator through various pairs , The temperature 、 electric current 、 The equipment in the engine room shall be carried out in an all-round way 、 Deep level acquisition and real-time data display .

Each sensor is distributed in the engine room according to the actual installation position , The sensor status of each point has corresponding display effect . Click the sensor point with the left mouse button , Pop up the real-time status information panel . Contains smoke detectors 、 Gas start / stop button 、 Hot aerosol fire extinguishers, etc . Through multi-dimensional data monitoring , Provide accurate and effective data input for the management and control of intelligent fans . On the right side 2D The panel contains the fan temperature 、 Basic information list of current and equipment status in engine room , Monitor the health status of the fan in real time .

Realize the diagnosis and prediction of fan operation process , The user can according to the health status of the fan , Make reasonable scheduling and decision , Reduce fan maintenance costs , Improve the safety of the fan , In a real sense, it has realized intelligent management .

Tupu software has also developed a software based on HTML5 WebGL Of 3D Science fiction fan , So that the various functions of the wind turbine can be shown to everyone closely . In this scenario , We use the technology wireframe style to show the internal structure of the wind turbine , Compared with most real scenes , More sensual shock and cool . While showing the internal structure of the fan , The environmental parameters around the fan are also shown on both sides , Offshore wind direction and speed information , Data monitoring of the fan itself , Power generation parameters, etc .

We also designed a cool one-stop visualization platform for fan data , Freely deploy real-time data , A panoramic view of the operation and health of the project .

After the world's first zero carbon wharf system is connected to the grid for power generation , The production equipment is made up of “ Integration of scenery and load storage ” The system realizes green power supply 100% Provide for oneself , Zero carbon emission in the whole process . It marks a new step in the construction of Tianjin Port's green port , Lead the green and low-carbon development of the industry with a new model .

summary

Start with the wind , Not just the wind . Tupu software will continue to cherish the dream of promoting the sustainable use of global clean energy , Actively participate in and promote the revolutionary innovation of global clean energy , Use visualization 、 big data 、GIS Technology breaks the data island phenomenon , Mining the value behind data , Help to find the rules and characteristics , Build reliability 、 Be responsible for 、 Sustainable future new energy world . To achieve together “ sustainable , Better ” A zero carbon future .