Internet of Things data acquisition practical training equipment

Abstract

The utility model discloses an internet of things data acquisition practical training device, relates to the technical field of practical training devices, is used for solving the problem that the practical training effect of the existing practical training device is poor, and comprises a first practical training platform, a second practical training platform and a third practical training platform, the first practical training platform is provided with a material receiving platform, a radio frequency reader-writer, a capacitance sensor, a sliding table cylinder, a first transfer cylinder and a first suction cylinder, and the second practical training platform is provided with a five-axis machining center. A data board display, a proximity sensor, a second transfer cylinder, a second suction cylinder, a radio frequency reader-writer platform and a plurality of pushing cylinders are designed on the third practical training platform, and the equipment depends on wood product production and is combined with the industrial internet and a cloud platform, so that the possibility of accessing various sensors and factory data is provided; the practical training device can effectively assist students to carry out all-around practical training learning, the practical training effect is better, and the problem that the practical training effect of existing practical training equipment is poor is solved.

Description

Technical Field

[0001] This utility model relates to the field of training equipment technology, and in particular to an Internet of Things (IoT) data acquisition training device. Background Technology

[0002] Existing training equipment mainly uses mechanical structures to simulate a production process in a factory to learn motion control or process control. This type of training equipment can only be used for training and cannot provide a comprehensive understanding of the complete production process from a technological perspective, nor can it monitor the entire production process in real time. It is relatively superficial and the training effect is poor, which needs to be improved.

[0003] Therefore, in view of the shortcomings of the above-mentioned solutions in actual production and implementation, modifications and improvements have been made. At the same time, in the spirit and concept of seeking excellence, with the assistance of professional knowledge and experience, and after much ingenuity and experimentation, a special Internet of Things data acquisition training device is provided to solve the problem of poor training effect of existing training equipment. Utility Model Content

[0004] The purpose of this invention is to provide an IoT data acquisition training device to solve the problem of poor training effect of existing training devices.

[0005] The technical solution of this utility model is implemented as follows:

[0006] An IoT data acquisition training device includes a first training platform, a second training platform, and a third training platform. The first training platform is equipped with a receiving platform, an RFID reader / writer, a capacitive sensor, a sliding cylinder, a first transfer cylinder, and a first suction cylinder. The second training platform is equipped with a five-axis machining center. The third training platform is equipped with a data display, a proximity sensor, a second transfer cylinder, a second suction cylinder, an RFID reader / writer platform, and multiple pusher cylinders.

[0007] In a preferred embodiment, the receiving platform is equipped with a photoelectric sensor and a hopper.

[0008] In one preferred embodiment, the five-axis machining center includes an internal material block transfer module, which comprises a linear module and a clamping cylinder.

[0009] Specific workflow:

[0010] The work order is presented as a card to an RFID reader. The reader sends a command to begin feeding. There are two hoppers. Based on the ordered material, the command determines which material will be pushed out by the pusher cylinder. Each material block has a read chip. The hoppers are framed with aluminum profiles, and the internal space is just right to accommodate the material blocks. There are two hoppers, one on the left and one on the right, corresponding to two different materials. Each hopper has a proximity sensor at the bottom to detect if there is a shortage. After the work order is sent, the pusher cylinder actuates, pushing the required material block from the bottom of the hopper and onto the receiving platform. The sliding cylinder on the top of the receiving platform moves to the top of the platform, and a cylinder with four suction cups extends to pick up the material block. The cylinder retracts, and the sliding cylinder moves to the other end. A cylinder with suction cups extends and places the material block onto the belt conveyor. Two sensors above the belt conveyor detect whether the material is accurately placed on the conveyor. The belt conveyor then transports the material to the right side, where another cylinder with suction cups extends to pick up the material block, and then the cylinder retracts. The top-mounted transfer cylinder with guide rod extends to place the material block into the five-axis machining center.

[0011] In the five-axis machining center, there is a lead screw module at the bottom. This module initially receives material blocks fed in from the left. Once the block is fed onto the module, a cylinder extends to clamp it, initiating processing according to the set shape. Different types of wood are processed using different tools. The wear of the cutting tools under different conditions is recorded. Other sensors, such as microphones, temperature sensors, and energy meters, are also used for data acquisition. Materials are fed in through an internal logistics system. Work orders are transmitted to the substation via RFID tags and processed or described based on the recorded data according to the product order. Operations are recorded by sensors and transmitted to the system, with various information displayed on the human-machine interface. The finished material blocks are transported to the right end of the machining center by a linear module within the machining center.

[0012] After material processing is complete, the second transfer cylinder on the left extends, and the second suction cylinder with a suction cup picks up the material block. Then, the second transfer cylinder retracts to remove the material block from inside the processing center and places it on the RFID reader platform to read information. After the information is read, the pusher cylinder pushes the material from the reader onto the conveyor belt. The conveyor belt starts and begins conveying the material. The top of the conveyor belt has a corresponding proximity sensor. Based on the previous work order information, when the sensor detects a signal, one of the pusher cylinders activates, pushing the processed material block into the corresponding material box, completing the order. The entire process is recorded by sensors and transmitted to the system. Various information is displayed on the human-machine interface.

[0013] The human-machine interface mainly includes the following functions: a) managing production equipment and resources, and collecting production and product data; b) providing an interface for statistical evaluation and materials management, quality management, and design departments; c) factory energy management.

[0014] All local production systems pass Network connectivity. Process data can be collected via the cloud for further processing. Process data across the entire plant can be accessed via the internet.

[0015] The beneficial effects of this utility model are:

[0016] To address the shortcomings of existing training equipment, this device integrates the entire production process into a single unit. By collecting data from various sensors, it demonstrates vertical integration from the field to factory management, using highly flexible automated production (even small-batch production) as an example. Based on wood product manufacturing and incorporating the Industrial Internet and cloud platforms, this equipment provides access to various sensors and factory data, effectively supporting students in comprehensive practical training. This results in better training outcomes and overcomes the problem of poor training effectiveness with existing equipment. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this utility model, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a structural diagram of an embodiment of the present utility model. Figure 1 ;

[0019] Figure 2 for Figure 1 Enlarged view of point A in the middle;

[0020] Figure 3 for Figure 1 Enlarged view of point B in the middle;

[0021] Figure 4 This is a structural diagram of an embodiment of the present utility model. Figure 2 ;

[0022] Figure 5 for Figure 4 Enlarged diagram of point C in the middle.

[0023] In the diagram, 1-First training platform; 2-Five-axis machining center; 3-Data dashboard display; 4-Material block transfer module; 5-Second training platform; 6-Third training platform; 7-Hopper; 8-Capacitive sensor; 9-RFID reader / writer; 10-Photoelectric sensor; 11-Slide table cylinder; 12-First transfer cylinder; 13-First suction cylinder; 14-Receiving cylinder; 15-Linear module; 16-Clamping cylinder; 17-Proximity sensor; 18-Second transfer cylinder; 19-Second suction cylinder; 20-RFID reader / writer platform; 21-Pushing cylinder. Detailed Implementation

[0024] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments.

[0025] It should be noted that all directional indicators (such as up, down, left, right, front, back, etc.) in this utility model embodiment are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicator will also change accordingly.

[0026] Furthermore, the use of terms such as "first" and "second" in this utility model is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features.

[0027] In the description of the embodiments, unless otherwise expressly specified and limited, the terms "set," "connect," etc., should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or a connection through an intermediate medium, or it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model based on the specific circumstances.

[0028] like Figures 1-5 As shown, an IoT data acquisition training device includes a first training platform 1, a second training platform 5, and a third training platform 6. The first training platform 1 is equipped with a receiving platform, an RFID reader / writer 9, a capacitive sensor 8, a sliding cylinder 11, a first transfer cylinder 12, and a first suction cylinder 13. The second training platform 5 is equipped with a five-axis machining center 2. The third training platform is equipped with a data display 3, a proximity sensor 17, a second transfer cylinder 18, a second suction cylinder 19, an RFID reader / writer platform 20, and multiple pusher cylinders 21.

[0029] The receiving platform is equipped with photoelectric sensor 10 and hopper 7.

[0030] The five-axis machining center 2 includes an internal material block transfer module 4, which includes a linear module 15 and a clamping cylinder 16.

[0031] The work order is presented as a card to the RFID reader 9. The RFID reader 9 sends a command to start feeding. There are two hoppers 7. The command is sent according to the ordered material to determine which material is pushed out by the pusher cylinder 21. Each material block has a reading chip. The hopper 7 is a frame made of aluminum profiles. The internal space can just meet the material block. There are two hoppers 7, one on the left and one on the right, corresponding to two different materials. There is a proximity sensor 17 at the bottom of each hopper 7 to detect whether there is a shortage of material. After the work order is sent, the pusher cylinder 21 actuates, pushing the required material block from the bottom of the hopper 7 and allowing it to slide onto the receiving platform. The sliding cylinder 11 on top of the receiving platform moves to the top of the platform, and a cylinder with four suction cups (first suction cylinder 13) extends to pick up the material block. The cylinder retracts, and the sliding cylinder 11 moves to the other end. A cylinder with suction cups extends and places the material block onto the belt conveyor. Two sensors (photoelectric sensors 10) above the belt conveyor detect whether the material is accurately placed on the conveyor. The belt conveyor then transports the material to the right side, where another cylinder with suction cups extends to pick up the material block, and then retracts. The top guide rod transfer cylinder extends and places the material block into the five-axis machining center 2.

[0032] In the five-axis machining station, there is a lead screw module at the bottom. This module initially receives material blocks fed in from the left. Once the block is fed onto the module, a cylinder (clamping cylinder 16) extends to clamp the block, initiating processing according to the set shape. Different tools are used to process different types of wood. The wear of the cutting tools under various conditions is recorded. Other sensors, such as microphones, temperature sensors, and energy meters, are also used for data acquisition. Materials are fed in through an internal logistics system. Work orders are transmitted to the substation via RFID tags and processed or described based on the recorded data according to the product order. Operations are recorded by sensors and transmitted to the system, with various information displayed on the human-machine interface. The processed material blocks are transported to the right end of the machining center by a linear module 15 inside the machining center.

[0033] After material processing is complete, the second transfer cylinder 18 on the left extends, and the second suction cylinder 19 with a suction cup picks up the material block. Then, the second transfer cylinder 18 retracts to remove the material block from inside the processing center and places it on the RFID reader platform 20 to read information. After the information is read, the pusher cylinder pushes the material from the reader onto the conveyor belt. The conveyor belt starts and begins conveying the material. The top of the conveyor belt has a corresponding proximity sensor 17. Based on the previous work order information, when the sensor detects a signal, one of the pusher cylinders 21 activates, pushing the processed material block into the corresponding material box, completing the order. The entire process is recorded by sensors and transmitted to the system. Various information is displayed on the human-machine interface.

[0034] The human-machine interface mainly includes the following functions: a) managing production equipment and resources, and collecting production and product data; b) providing an interface for statistical evaluation and materials management, quality management, and design departments; c) factory energy management.

[0035] All local production systems pass Network connectivity. Process data can be collected via the cloud for further processing. Process data across the entire plant can be accessed via the internet.

[0036] The beneficial effects of this utility model are:

[0037] To address the shortcomings of existing training equipment, this device integrates the entire production process into a single unit. By collecting data from various sensors, it demonstrates vertical integration from the field to factory management, using highly flexible automated production (even small-batch production) as an example. Based on wood product manufacturing and incorporating the Industrial Internet and cloud platforms, this equipment provides access to various sensors and factory data, effectively supporting students in comprehensive practical training. This results in better training outcomes and overcomes the problem of poor training effectiveness with existing equipment.

[0038] The above description is merely a preferred embodiment of this utility model and is not intended to limit the utility model. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this utility model should be included within the protection scope of this utility model. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope claimed by this utility model.

Claims

1. An Internet of Things (IoT) data acquisition training device, characterized in that, It includes a first training platform, a second training platform and a third training platform. The first training platform is equipped with a receiving platform, an RFID reader / writer, a capacitive sensor, a sliding cylinder, a first transfer cylinder and a first suction cylinder. The second training platform is equipped with a five-axis machining center. The third training platform is equipped with a data display, a proximity sensor, a second transfer cylinder, a second suction cylinder, an RFID reader / writer platform and multiple pusher cylinders.

2. The IoT data acquisition training device according to claim 1, characterized in that, The receiving platform is equipped with photoelectric sensors and a hopper.

3. The IoT data acquisition training device according to claim 1, characterized in that, The five-axis machining center includes an internal material block transfer module, which comprises a linear module and a clamping cylinder.

Images