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| Brand Name : | Zhonghai Bailey Bridge |
| Model Number : | CB200/CB321 |
| Certification : | IS09001, CE |
| Price : | USD 95-450 |
| Payment Terms : | L/C,D/P,T/T |
| Supply Ability : | 60000ton/year |
| Delivery Time : | 8-10 work days |
Steel Fabrication For Bridge/steel Frame Bridge
To improve real-time adaptation in automatic welding for bridge construction, several advanced techniques and technologies can be employed:
1. **Advanced Sensing and Imaging Systems**
Robotic welding systems can be equipped with high-resolution
cameras and laser sensors to monitor the welding process in
real-time. These sensors capture images of the weld pool and seam,
providing detailed geometrical information such as the width and
position of the weld pool. By using advanced image processing
algorithms, the system can detect deviations and adjust the welding
parameters accordingly.
2. **Adaptive Control Algorithms**
Implementing adaptive control algorithms allows the welding system
to adjust parameters such as welding speed, torch orientation, and
electrical settings (e.g., wire feed speed, arc length) in
real-time. For example, a P-controller can be used to correct path
deviations by adjusting the robot's trajectory based on the
detected offset. This ensures that the welding process remains
stable and consistent, even when faced with changing conditions.
3. **Machine Learning and Artificial Intelligence**
Machine learning algorithms, such as Convolutional Neural Networks
(CNN), can be trained to recognize and adapt to different welding
conditions. These algorithms can accurately detect the target area
of image processing in real-time, even under varying intensities of
arc splash. This enhances the system's ability to adapt to defects
and irregularities in the welding process.
4. **Human-Robot Interaction**
In cases where automatic detection fails, human-robot interaction
can be employed to guide the welding process. For example, users
can draw the desired path on a live video window using a mouse
cursor, ensuring accurate path planning and tracking. This feature
is particularly useful for complex welding tasks where automatic
detection may not be sufficient.
5. **Closed-Loop Feedback Systems**
A closed-loop feedback system is essential for real-time
adaptation. Sensors detect deviations in the welding process, and
the control system adjusts the parameters accordingly. This
continuous feedback loop ensures that any changes in the welding
conditions are promptly addressed, maintaining high-quality welds.
6. **Optimization of Control Parameters**
Optimizing the control parameters of the welding system, such as
the gain settings in the control algorithms, can improve the
system's responsiveness and accuracy. For example, adjusting the
gain in a P-controller can help reduce over-regulation and improve
the stability of the welding process.
7. **Robust Data Management**
Effective data management is crucial for real-time adaptation. The
system should be able to process and analyze large amounts of data
quickly, providing real-time feedback and adjustments. This
includes integrating various sensors and algorithms to ensure
seamless communication and coordination between different
components of the welding system.
By integrating these advanced technologies and techniques, automatic welding systems can achieve greater adaptability and reliability in bridge construction, ensuring high-quality welds even under dynamic and challenging conditions.
Specifications:
| CB321(100) Truss Press Limited Table | |||||||||
| No. | Lnternal Force | Structure Form | |||||||
| Not Reinforced Model | Reinforced Model | ||||||||
| SS | DS | TS | DDR | SSR | DSR | TSR | DDR | ||
| 321(100) | Standard Truss Moment(kN.m) | 788.2 | 1576.4 | 2246.4 | 3265.4 | 1687.5 | 3375 | 4809.4 | 6750 |
| 321(100) | Standard Truss Shear (kN) | 245.2 | 490.5 | 698.9 | 490.5 | 245.2 | 490.5 | 698.9 | 490.5 |
| 321 (100) Table of geometric characteristics of truss bridge(Half bridge) | |||||||||
| Type No. | Geometric Characteristics | Structure Form | |||||||
| Not Reinforced Model | Reinforced Model | ||||||||
| SS | DS | TS | DDR | SSR | DSR | TSR | DDR | ||
| 321(100) | Section properties(cm3) | 3578.5 | 7157.1 | 10735.6 | 14817.9 | 7699.1 | 15398.3 | 23097.4 | 30641.7 |
| 321(100) | Moment of inertia(cm4) | 250497.2 | 500994.4 | 751491.6 | 2148588.8 | 577434.4 | 1154868.8 | 1732303.2 | 4596255.2 |
| CB200 Truss Press Limited Table | |||||||||
| NO. | Internal Force | Structure Form | |||||||
| Not Reinforced Model | Reinforced Model | ||||||||
| SS | DS | TS | QS | SSR | DSR | TSR | QSR | ||
| 200 | Standard Truss Moment(kN.m) | 1034.3 | 2027.2 | 2978.8 | 3930.3 | 2165.4 | 4244.2 | 6236.4 | 8228.6 |
| 200 | Standard Truss Shear (kN) | 222.1 | 435.3 | 639.6 | 843.9 | 222.1 | 435.3 | 639.6 | 843.9 |
| 201 | High Bending Truss Moment(kN.m) | 1593.2 | 3122.8 | 4585.5 | 6054.3 | 3335.8 | 6538.2 | 9607.1 | 12676.1 |
| 202 | High Bending Truss Shear(kN) | 348 | 696 | 1044 | 1392 | 348 | 696 | 1044 | 1392 |
| 203 | Shear Force of Super High Shear Truss(kN) | 509.8 | 999.2 | 1468.2 | 1937.2 | 509.8 | 999.2 | 1468.2 | 1937.2 |
| CB200 Table of Geometric Characteristics of Truss Bridge(Half Bridge) | ||||
| Structure | Geometric Characteristics | |||
| Geometric Characteristics | Chord Area(cm2) | Section Properties(cm3) | Moment of Inertia(cm4) | |
| ss | SS | 25.48 | 5437 | 580174 |
| SSR | 50.96 | 10875 | 1160348 | |
| DS | DS | 50.96 | 10875 | 1160348 |
| DSR1 | 76.44 | 16312 | 1740522 | |
| DSR2 | 101.92 | 21750 | 2320696 | |
| TS | TS | 76.44 | 16312 | 1740522 |
| TSR2 | 127.4 | 27185 | 2900870 | |
| TSR3 | 152.88 | 32625 | 3481044 | |
| QS | QS | 101.92 | 21750 | 2320696 |
| QSR3 | 178.36 | 38059 | 4061218 | |
| QSR4 | 203.84 | 43500 | 4641392 | |
Advantage
Possessing the features of simple structure,
convenient transport, speedy erection
easy disassembling,
heavy loading capacity,
great stability and long fatigue life
being capable of an alternative span, loading capacity

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| Jiangsu Zhonghai Bridge Equipment Co.,LTD |
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