Entering the industrial scene, what are the advantages of Gao Xian?
Wen | Gao Xian Robot
In 2021, China's industrial application mobile robot (AGV) market showed a high-speed growth beyond expectations, according to the latest release of the "2021 China Industrial Application Mobile Robot Industry Development Research Report" shows that in 2021, the Chinese market enterprises as a whole sold 72,000 sets of industrial application mobile robots, an increase of 75.61% over 2020, and market sales reached 12.6 billion yuan, an increase of 64% year-on-year.
Chart: 2015-2021 China Market Enterprise Industrial Application Mobile Robot (AGV/AMR) New Increment (Unit) and Growth Rate
Behind the rapid development of AGV is driven by social factors that reduce the supply of age-appropriate labor, and it is also an inevitable requirement for industrial transformation and upgrading, intelligent manufacturing, and the catalytic role of the new crown epidemic.
In the industrial scene, we see that not only AGVs, but also autonomous mobile cleaning robots have been more and more widely used, helping to improve the level of factory intelligence and reduce labor.
Compared with manual cleaning, the robot can also avoid the harm of toxic and harmful industrial environments such as high dust and radioactivity to human health, and operate seamlessly 24 hours a day.
Complex industrial scenarios AGVs are difficult to interact with
However, in the industrial AGV scenario, how to ensure the cleaning effect under the premise of ensuring production efficiency and safety is a problem in front of manufacturers, due to the particularity of the scene, independent cleaning needs to solve three difficulties.
There are many types of floors and cleaning needs. Common types of floors in industrial scenes are epoxy floors, cement, emery, marble, granite, concrete, etc.; different cleaning modes are suitable for different materials; cleaning needs are diverse, such as grinding workshops to go to dust, tobacco silk workshops to sweep tobacco, food processing plants to require dust-free, steel manufacturing workshops to go to oil pollution.
There are many dynamic objects, and it is difficult for robots to locate them. In the factory, there are both static obstacles such as equipment, instruments, shelves, and dynamic obstacles such as workshop workers, pallets, forklifts, AGVs, etc. Robots face complex and changeable environments and are easy to lose positioning.
Difficult to interact with and collaborate with AGVs. In industrial environments, common AGVs include forklift AGVs, traditional magnetic conductivity AGVs, natural navigation AGVs, etc. In particular, the natural navigation AGV without the help of magnetic stripes, two-dimensional codes and other external signs has strong autonomy, real-time positioning and navigation, environmental perception and path planning capabilities, and how the cleaning robot dynamically interacts and cooperates with various AGVs in operation, testing the technical strength of robot manufacturers.
Solutions for cleaning robots in industrial AGV scenarios
To solve the problem of autonomous cleaning in complex industrial scenarios, cleaning robots need to break through the double obstacles in cleaning functions and autonomous navigation technology, taking Gaoxian Robot as an example to see how industry leaders provide solutions for cleaning in industrial AGV scenarios.
First of all, Gaoxian Robot has a complete product matrix, with cleaning, washing, dust pushing, vacuuming, degreasing, disinfection and other functions, suitable for industrial environment common epoxy floor, emery, terrazzo, anti-static material ground and other ground materials.
In industrial scenarios, the High-immortal Scrubber 75 and Scrubber 50 cleaning robots are widely used. Both robots have the functions of washing, dust pushing and cleaning, and for the characteristics of stain deposition infiltration and multiple oil pollution areas in industrial scenes, Scrubber 75 has a unique industrial oil cleaning mode, which can remove tire prints, marking line stains, oil stains and so on.
Secondly, as one of the world's earliest high-tech companies engaged in the research and development and application of autonomous mobile technology, Gaoxian has mature SLAM navigation technology, cleaning robots have the ability to independently build maps and locate and navigate obstacle avoidance, and adapt to complex and changeable environments.
Taking obstacle avoidance as an example, Gaoxian Robot is equipped with a variety of sensors such as lidar, depth camera, millimeter wave radar, and anti-collision, which can realize the detection of 360-degree obstacles in the whole vehicle, and collect a variety of data such as depth, height, distance, and image through sensors. The data is transmitted to a computer inside the robot, decisions are made, and instructions are passed to the power system, causing it to make actions such as stopping and avoiding.
The Gaoxian cleaning robot interacts with AGV to avoid
Third, in view of the pain points of difficult interaction with AGV, Gao Xian designed corresponding solutions by joining forces with AGV head enterprises. Specifically, through the open TCP/IP protocol interaction, the cleaning robot is incorporated into the AGV scheduling system to achieve traffic control with the AGV, and the heartbeat message is used as the online detection of the interaction between the two sides to achieve real-time interaction and complete the following task mechanisms:
1. Road network planning
The cleaning robot can fuse the map scanned by the SLAM navigation AGV, and plan the cleaning robot cleaning area and driving route according to the same coordinate origin and map.
2. Report the location coordinates
The cleaning robot can report real-time location information to the AGV dispatching system through the interface, and the dispatching system can manage the driving task and obstacle avoidance rules of both sides with the AGV through the real-time location information of the cleaning robot.
3. Enter the channel to perform the cleaning task
Before the cleaning robot enters the channel, apply to the AGV scheduling system to enter the channel, the dispatching system determines that the channel meets the access conditions and then releases, when the cleaning task is executed in which the AGV needs to enter, the dispatching system judges that it is entering in the same direction or in the opposite direction, sending the cleaning robot to continue to move forward or turn around to avoid the AGV.
4. Apply to pass the intersection
When the cleaning robot passes through the intersection, it is necessary to apply to the AGV dispatching system for the occupied space area, and the AGV dispatching system can judge whether the driving state of the AGV is allowed to pass at this time, allowing the cleaning robot to pass through the intersection.
5. Apply for automatic doors
When the automatic door has been incorporated into the AGV dispatching system, the cleaning robot can apply to the dispatching system to open the door through the interface when it reaches the automatic front door placement point, and after receiving the instruction to open the door in place, pass the automatic door, and after reaching the automatic door rear placement point, report the closing request.
6. Apply for an elevator
When the elevator control system has been incorporated into the AGV dispatching system, the cleaning robot can apply to the dispatching system to open the door when it reaches the front point of the elevator through the interface, enter the elevator after receiving the instruction to open the elevator door in place, and report the closing request, and after reaching the designated floor, drive away from the elevator.
For relatively simple interactive scenarios, the robot's own obstacle avoidance ability can also be combined with customized deployment to achieve the same scene operation as AGV.
The Gaoxian cleaning robot is parallel to AGV
In a more spacious industrial scene, with a small number of forklift AGVs running in the same scene, the two sides through their respective obstacle avoidance laser, vision and other sensors to detect each other, when driving into the safe distance, forklift AGV triggered the barrier, cleaning robot to bypass the obstacle, when the cleaning robot drove out of the AGV safety area, AGV continues to start driving.
In a compact factory, but the AGV running route is relatively single, and there are fewer intersections, the cleaning robot through the optimization of route deployment, and AGV at the same speed and in the same direction, without affecting the operation of AGV, the maximum efficiency to clean the AGV driving area; at the same time, the use of multi-task combination mode, in other blank areas without AGV operation, independent planning of cleaning routes, greatly reduce the impact on production, improve the quality of plant cleaning.
While realizing autonomous cleaning in industrial AGV scenarios, The Gaoxian Cloud Platform also brings more convenient management methods to customers. By logging on to the web terminal or mobile APP of Gaoxian Cloud Platform, users can understand the working status of the cleaning robot in real time and remotely control the task of cleaning the robot. At the same time, the task report generated by the cleaning task can also be pushed to the user through the web page and mobile APP to help users manage and operate.
The rich interface of the Gaoxian cloud platform can also access the user's smart screen, display the location, status, alarm and other information of the cleaning robot, and remotely start the task and other functions.
At present, Gaoxian Scrubber 75 and Scrubber 50 have been widely used in new energy industries such as lithium batteries, solar photovoltaics, automotive OEMs and parts, 3C electronics, logistics and warehousing.
In the future, Gaoxian will cooperate with more enterprises to cooperate in developing richer scene applications for the different needs of industrial scenarios, provide efficient solutions for customers of different formats, and release greater value for independent cleaning.