A multi-point intelligent control iron ore intelligent online detection system
The multi-point intelligent online iron ore detection system with a multi-inspection architecture solves the problems of high investment, low efficiency, large space occupation and insufficient scalability in iron ore customs clearance and inspection, and realizes efficient and flexible solid waste investigation and detection optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- ZHOUSHAN SHULANGHU TERMINAL CO LTD
- Filing Date
- 2025-06-20
- Publication Date
- 2026-06-02
AI Technical Summary
The existing iron ore customs clearance inspection system suffers from high investment costs, low inspection efficiency, large space occupation, insufficient scalability, and isolated inspection strategies, making it difficult to achieve efficient and flexible solid waste screening.
The multi-point intelligent online detection system for iron ore, which adopts a multi-inspection architecture, enables precise detection of multiple ore conveyor belts in different time periods through intelligent mobile carriers and near-infrared online component detection equipment, and optimizes the detection strategy by combining real-time load parameters.
It reduces investment costs, improves detection efficiency, forms a collaborative and optimized dynamic detection system, reduces space occupation, and ensures the scalability and flexibility of layout changes for ore conveyor belts.
Smart Images

Figure CN224317514U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to an online detection system for mineral products, and more particularly to a multi-point intelligent control system for the investigation of solid waste during customs clearance of imported iron ore. Background Technology
[0002] In the customs clearance and inspection of imported mineral products (such as iron ore), solid waste screening is undoubtedly a very important part of the inspection process. Traditional solid waste inspection mainly relies on the following two methods: First, manual visual inspection: Customs officers make a preliminary judgment by observing the color, shape and other characteristics of the ore with the naked eye. This method has inherent problems such as strong subjectivity, low efficiency and inability to accurately identify excessive components. Second, laboratory sampling and analysis: Samples need to be collected manually after the machine is stopped and sent to the laboratory for analysis and testing. Although the detection accuracy is high, it has drawbacks such as the time-consuming process, which seriously slows down the customs clearance speed, low coverage leading to insufficient sampling ratio, difficulty in fully reflecting the quality of the entire batch of mineral products, and high testing costs.
[0003] Therefore, in response to the aforementioned deficiencies in the testing, the applicant proposed using domestically produced near-infrared online component detection equipment to conduct online component detection of imported iron ore transported by ore conveyor belts. Simultaneously, a specially developed algorithm model for identifying the origin and brand of imported iron ore would be used, combined with the online detection results, to automatically determine the solid waste properties of the inspected imported iron ore, thereby completing solid waste screening and accelerating customs clearance. However, in actual implementation, the following limitations were discovered: First, the one-to-one model is costly: each ore conveyor belt requires an independent detection system (including a spectrometer, mechanical support, etc.), resulting in high investment costs and an inability to simultaneously balance cost and efficiency. Second, data isolation: each system operates independently, making it impossible to intelligently adjust the detection strategy based on the real-time load of the conveyor belt (such as changes in flow rate), meaning there is no collaborative optimization of the detection strategy, resulting in a lack of dynamic detection capabilities. Third, large space occupation: parallel installation of multiple sets of equipment leads to crowded installation space, affecting the later maintenance of the ore conveyor belts. Fourth, insufficient scalability: this architecture is difficult to adapt to the port's needs for adding, removing, or changing the layout of ore conveyor belts. Utility Model Content
[0004] The technical problem to be solved by this utility model is to overcome the defects of the prior art and provide a multi-point intelligent control iron ore intelligent online detection system that reduces investment costs, balances cost and efficiency, forms collaborative and optimized dynamic detection, reduces space occupation, and ensures scalability for subsequent additions, subtractions or layout changes of ore transport belts through a one-machine-multiple-inspection architecture.
[0005] The technical problem of this utility model is solved by the following technical solution:
[0006] A multi-point intelligent control online detection system for iron ore includes:
[0007] The running track is set across multiple parallel ore conveyor belts;
[0008] An intelligent mobile vehicle is movably mounted on the running track, and carries a near-infrared online component detection device and a multi-point intelligent motion control cabinet, which controls the movement of the intelligent mobile vehicle on the running track.
[0009] The multi-point intelligent motion control cabinet is configured to control the intelligent mobile vehicle to stop at predetermined positions above each ore conveyor belt in different time periods, and to perform real-time composition detection on the iron ore transported on the ore conveyor belt below the stopping position using the near-infrared online composition detection equipment.
[0010] The intelligent mobile vehicle adopts an intelligent drive wheel device, which integrates a servo driver, an encoder, a low-voltage servo motor, a planetary reducer, and rubber-coated drive wheels.
[0011] The rubber-coated drive wheel is equipped with a dust cover and a dust removal plate on its outer side.
[0012] The multi-point intelligent motion control cabinet has programmable operating parameters for moving speed, stopping position, and stopping time.
[0013] The multi-point intelligent motion control cabinet is configured to obtain the real-time load parameters of each ore conveyor belt via a communication network, and autonomously adjust the dwell time of the intelligent mobile vehicle above each ore conveyor belt and the sequence of switching movement of each ore conveyor belt according to the real-time load parameters.
[0014] The intelligent mobile vehicle is equipped with a laser rangefinder, which controls the intelligent mobile vehicle to precisely park on the running track above each ore conveyor belt.
[0015] The running track is equipped with stoppers at both ends, and the stoppers at both ends, together with the limit switches at both ends of the intelligent mobile vehicle, limit the movement of the intelligent mobile vehicle on the running track.
[0016] The near-infrared online component detection device is configured to detect the content of multiple major components in iron ore in real time and store the detected data in a database according to logic.
[0017] The near-infrared online component detection equipment is covered by a detachable protective cover.
[0018] The running track is supported by multiple pillars and installed on the ground, and a climbing ladder is provided between the running track and the ground.
[0019] Compared with existing technologies, this utility model proposes an innovative multi-point intelligent control online iron ore detection system. Its core improvement lies in its dynamic inspection architecture of multi-machine multi-inspection. Through the intelligent movement of a single detection device on the running track, it achieves precise time-segmented detection of multiple parallel ore conveyor belts. The specific technical components include a running track spanning above multiple parallel ore conveyor belts; an intelligent mobile carrier movably mounted on the running track, carrying a near-infrared online component detection device and a multi-point intelligent control motion control cabinet, which controls the movement of the intelligent mobile carrier on the running track. The multi-point intelligent control motion control cabinet can be configured to control the intelligent mobile carrier to stop at predetermined positions above each ore conveyor belt at different time intervals, and to perform real-time component detection of the iron ore transported on the ore conveyor belts below the stopping positions using the near-infrared online component detection device. Therefore, the improved detection system has the advantages of reducing investment costs, balancing cost and efficiency, forming a dynamic detection system with synergistic optimization, reducing space occupation, and ensuring scalability for future additions, subtractions, or layout changes of ore conveyor belts. Attached Figure Description
[0020] Figure 1 This is a schematic diagram of the structure of this utility model.
[0021] Figure 2 for Figure 1 Enlarged view of point A.
[0022] Figure 3 This is a schematic diagram of a smart mobile vehicle that carries a near-infrared online component detection device and a multi-point intelligent motion control cabinet. Detailed Implementation
[0023] The embodiments of this utility model will now be described in detail with reference to the accompanying drawings.
[0024] like Figures 1-3 As shown, 1. Running track, 11. Stopper, 12. Support column, 13. Climbing ladder, 14. Diffuser plate, 15. Protective cover, 16. Quick-release lock, 2. Ore conveyor belt, 3. Intelligent mobile vehicle, 31. Limit switch, 4. Near-infrared online component detection equipment, 5. Multi-point intelligent motion control cabinet, 6. Laser rangefinder, 7. Rubber-coated drive wheel, 71. Dust removal plate. The same labels in each figure represent the same components.
[0025] A multi-point intelligent control online detection system for iron ore, such as Figure 1 As shown, this mainly relates to the field of mineral product testing technology, and in particular to a multi-point intelligent control online detection system for solid waste screening during customs clearance of imported iron ore. It is applicable to automated component detection scenarios of multiple parallel ore conveyor belts 2.
[0026] The detection system includes a running track 1 and an intelligent mobile vehicle 3.
[0027] The running track 1 is installed across multiple parallel ore conveyor belts 2. In this embodiment, the running track is installed across three parallel ore conveyor belts. The running track 1 is supported by multiple pillars 12 and installed on the ground to form a steel structure track. A climbing ladder 13 is also provided between the running track 1 and the ground to facilitate the climbing and maintenance by the staff.
[0028] The intelligent mobile vehicle 3 is movably mounted on the running track 1, on which a near-infrared online component detection device 4, a multi-point intelligent motion control cabinet 5, and a laser rangefinder 6 are carried. Both ends of the running track 1 can be equipped with stoppers 11, for example, channel steel welded and fixed to the running track 1 can serve as stoppers, which can prevent the intelligent mobile vehicle 3 from running out of control and rushing out of the running track. Furthermore, one of the stoppers 11 is equipped with a diffuser plate 14 to achieve working cooperation with the laser rangefinder 6.
[0029] Meanwhile, the movement of the intelligent mobile vehicle 3 on the running track 1 can be limited by the stoppers 11 at both ends of the running track 1 and the limit switches 31 at both ends of the intelligent mobile vehicle 3.
[0030] The intelligent mobile vehicle 3 adopts an intelligent drive wheel device, which simplifies the design and manufacturing of the detection system and improves the automation level of the intelligent mobile vehicle. The intelligent drive wheel device is a DC low-voltage servo drive wheel, and innovatively adopts an integrated design concept, that is, integrating the servo driver, encoder, low-voltage servo motor, planetary reducer and rubber-coated drive wheel 7 into one unit. It has the advantages of compact structure, large torque-to-volume ratio, convenient installation, simple and reliable electrical wiring and easy maintenance.
[0031] The rubber-coated drive wheel 7 is equipped with a dust cover and a dust removal plate 71 on its outer side. In addition to its dustproof function, the dust removal plate 71 can also remove dust and other impurities on the running track 1 when it moves along the running track 1.
[0032] As the intelligent mobile carrier 3 moves and the laser rangefinder 6 positions itself, the near-infrared online component detection device 4 can precisely stop above each ore conveyor belt 2 at different time intervals. It then performs real-time component detection on the iron ore transported on the ore conveyor belts below the stopping position. The detection time on each ore conveyor belt 2 can be arbitrarily set, and the content of multiple main components of iron ore can be detected in real time. For example, the content of 10 main components of iron ore can be detected. The detected data is then stored in a database according to certain logic, so that the upper-level software platform can call, calculate and process the data.
[0033] The near-infrared online component detection device 4 is covered by a protective cover 15, which is detachably installed on the intelligent mobile vehicle 3 by means of a quick-locking buckle 16.
[0034] The multi-point intelligent motion control cabinet 5 can control the movement of the intelligent mobile vehicle 3 on the running track 1. That is, the multi-point intelligent motion control cabinet 5 is configured to control the intelligent mobile vehicle 3 to stop at predetermined positions above each ore conveyor belt 2 in different time periods. The multi-point intelligent motion control cabinet 5 has programmable settings for operating parameters such as moving speed, stopping position and stopping time. It is also configured to obtain real-time load parameters of each ore conveyor belt 2 via a communication network, such as start / stop, instantaneous flow and cumulative flow. Based on the real-time load parameters, it can autonomously adjust the stopping time of the intelligent mobile vehicle 3 above each ore conveyor belt 2, as well as the sequence of switching movement of each ore conveyor belt 2, to adapt to the load changes of the ore conveyor belt 2.
[0035] The laser rangefinder 6 is used to control the intelligent mobile vehicle 3 to precisely stop on the running track 1 above each ore conveyor belt 2.
[0036] The detection method of the multi-point intelligent control iron ore smart online detection system is as follows: First, the intelligent mobile carrier 3 is controlled by the multi-point intelligent control motion control cabinet 5 to move on the running track 1 of multiple ore conveyor belts 2, so that the near-infrared online component detection device 4 stops at predetermined positions above each ore conveyor belt 2 in sequence. Then, according to the real-time load parameters of each ore conveyor belt 2, the stopping time of the near-infrared online component detection device 4 above each ore conveyor belt 2 is dynamically adjusted. Then, real-time online component detection is performed on the iron ore transported on the corresponding ore conveyor belt 2 at each stopping position. Finally, the detected iron ore component data is compared with the preset origin brand identification model, and the solid waste properties of the iron ore are determined based on the detection results.
[0037] Therefore, the improved detection system, due to its dynamic inspection architecture of multi-machine inspection, has the advantages of reducing investment costs, balancing cost and efficiency, forming a collaborative and optimized dynamic detection, reducing space occupation, and ensuring scalability for future additions, subtractions, or layout changes of ore transport belts.
[0038] The basic principles and main features of this utility model have been described above. Those skilled in the art should understand that this utility model is not limited to the above embodiments. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the utility model as claimed. The scope of protection of this utility model is defined by the appended claims and their equivalents.
Claims
1. A multi-point intelligent control online detection system for iron ore, characterized in that, include: The running track (1) is set across multiple parallel ore conveyor belts (2); The intelligent mobile vehicle (3) is movably set on the running track (1), and carries a near-infrared online component detection device (4) and a multi-point intelligent motion control cabinet (5). The multi-point intelligent motion control cabinet controls the movement of the intelligent mobile vehicle (3) on the running track (1). The multi-point intelligent motion control cabinet (5) is configured to control the intelligent mobile vehicle (3) to stop at predetermined positions above each ore conveyor belt (2) in different time periods, and to perform real-time composition detection on the iron ore transported on the ore conveyor belt (2) below the stopping position through the near-infrared online composition detection device (4).
2. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The intelligent mobile vehicle (3) adopts an intelligent drive wheel device, which integrates a servo driver, an encoder, a low-voltage servo motor, a planetary reducer and a rubber-coated drive wheel (7).
3. The multi-point intelligent control online detection system for iron ore according to claim 2, characterized in that, The rubber-coated drive wheel (7) is provided with a dust cover and a dust removal plate (71) on the outside.
4. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The multi-point intelligent motion control cabinet (5) has programmable operating parameters for moving speed, stopping position and stopping time.
5. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The multi-point intelligent motion control cabinet (5) is configured to obtain the real-time load parameters of each ore conveyor belt (2) via a communication network, and autonomously adjust the dwell time of the intelligent mobile vehicle (3) above each ore conveyor belt (2) and the switching sequence of each ore conveyor belt (2) according to the real-time load parameters.
6. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The intelligent mobile vehicle (3) is equipped with a laser rangefinder (6) and controls the intelligent mobile vehicle (3) to precisely stop on the running track (1) above each ore conveyor belt (2).
7. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The two ends of the running track (1) are respectively provided with stoppers (11), and the stoppers at both ends, together with the limit switches (31) at both ends of the intelligent mobile vehicle (3), limit the movement of the intelligent mobile vehicle on the running track (1).
8. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The near-infrared online component detection device (4) is configured to detect the content of multiple main components of iron ore in real time and store the detection data in the database according to logic.
9. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The near-infrared online component detection device (4) is covered with a detachable protective cover (15).
10. The multi-point intelligent control online detection system for iron ore according to claim 1, characterized in that, The running track (1) is supported by multiple pillars (12) and installed on the ground, and a climbing ladder (13) is provided between the running track (1) and the ground.