A mine loading vehicle weighing automatic metering system and method based on light field technology

Abstract

This invention belongs to the field of logistics management technology, and specifically relates to an automatic weighing system and method for ore loading vehicles based on light field technology. The system includes a light field intelligent detection device, a weighing system, a loading vehicle, and a barrier control system. It acquires three-dimensional vehicle data through a light field camera array, combines this data with a deep learning algorithm to calculate the material volume and weight in real time, and performs dual verification with weighbridge data to achieve high-precision load measurement. An adaptive grid algorithm and density deviation detection are employed to effectively identify theft or overloading. This system can operate stably even in dusty environments, achieving a volume measurement accuracy of ±0.8% and a weight verification error of ≤±1%, significantly improving the efficiency and safety of mine weighing and reducing manual intervention.

Description

Technical Field

[0001] This invention belongs to the field of mining logistics management technology, specifically relating to an automatic weighing system and method for ore loading vehicles based on light field technology. Background Technology

[0002] In the mining production process, accurate measurement of materials is a core aspect of logistics management. Traditional weighing methods rely on manual operation, which suffers from low efficiency (single weighing time > 3 minutes), high human error rate (±5%-8%), and susceptibility to subjective factors.

[0003] A search revealed a patent with publication number CN119648101A, which discloses a real-time monitoring system for unloading vehicles within a factory. The method includes: achieving closed-loop management of the entire process through a combination of automated identification and manual intervention; generating a transportation schedule plan based on orders, including license plate number, driver, time, and cargo details; after loading according to the plan, vehicles enter the loading area exit, where the system automatically captures vehicle information and compares it with the schedule data; if a match is found, the vehicle is allowed to proceed to the unloading area; if the initial captured information is missing or incorrect, the vehicle must exit and undergo a second verification; if both fail, manual review is triggered, and the vehicle re-enters the verification process after correction. Upon arrival at the unloading area, the system captures and verifies the schedule information again; only if a match is found can unloading be performed and the task marked as complete; if an identification anomaly is found, repeated captures or manual processing are required to ensure all errors are corrected within the closed loop. This method, through multi-node verification across loading, transportation, and unloading stages, combined with an automatic identification and manual fallback mechanism, effectively improves the accuracy, real-time performance, and anomaly response efficiency of in-factory logistics. However, the core flaw of this system lies in its reliance on two-dimensional image recognition technology for material monitoring. Due to the lack of three-dimensional spatial information acquisition capabilities, it cannot establish an accurate material volume estimation model. The physical correlation between two-dimensional planar data and material weight is difficult to fit effectively using algorithms. More seriously, this technical architecture lacks a mechanism to identify material density anomalies—when high-density materials are replaced by low-density substances during transportation (such as replacing sand and gravel with straw), the system can only identify surface image changes and cannot perform substantive verification through a density-volume relationship model. This technical deficiency has led to numerous regulatory loopholes and disputes over discrepancies in cargo value. Patent CN117606595A discloses an unattended weighbridge weighing system and method based on an intelligent weighing algorithm. Similar to patent CN119648101A, it only has a single source of weight information acquisition and cannot solve the problem of human manipulation of weighing equipment measurement data.

[0004] To address the aforementioned issues, this invention proposes an automatic weighing system for ore loading vehicles based on light field technology. By employing a light field camera, it achieves a 3D point cloud reconstruction accuracy of ±2mm in a dusty environment. Based on the algorithm and comparison with weighbridge data, an anomaly detection mechanism for density deviation threshold is constructed to solve the problem of human ore theft during ore loading vehicle weighing. Summary of the Invention

[0005] The present invention aims to provide an automatic weighing system and method for ore loading vehicles based on light field technology. By using light field technology, the system automates and intelligently weighs materials, improves weighing efficiency and accuracy, reduces human error, and effectively prevents illegal activities such as theft of materials.

[0006] A light field intelligent detection device, installed on the top of the weighing area shed, is used to collect real-time three-dimensional light field data of the shape of the loading truck's cargo compartment and the distribution of materials, and calculates the material volume and weight using a deep learning algorithm. The device includes a light field acquisition module, an intelligent analysis and decision-making module, a data storage module, a communication module, and an alarm module. A weighbridge system, located at the upper and lower weighing areas, includes a data acquisition unit, weighbridge sensors, and a signal transceiver, used to obtain vehicle load data by comparing the two weighing results. Loading vehicles are used to transport ore materials. A barrier control system, including barrier bars, a transmission device, and a signal transceiver, is used to receive commands and control the vehicle to leave the weighing area. The light field intelligent detection device reconstructs a three-dimensional model of the cargo compartment using point cloud data, calculates the weight based on material density, and compares it with the weight data from the weighbridge system to achieve dual load verification. All modules communicate via a switch and fiber optic network to complete data interaction and control command transmission.

[0007] Furthermore, the light field acquisition module includes a high-resolution light field camera arranged in a 5×5 array to acquire four-dimensional light field data at a refresh rate of 60Hz. The coverage area is 8m×6m×4m, with a spatial resolution of ±2mm;

[0008] Furthermore, the image processing unit is used to perform denoising, enhancement, and segmentation operations on the light field data to extract the carriage outline and material surface features;

[0009] Furthermore, the deep learning recognition unit identifies license plate numbers, vehicle models, and material types based on convolutional neural networks;

[0010] Furthermore, the volume calculation unit employs an adaptive octree grid algorithm to calculate the material volume in real time. ;

[0011] Furthermore, the density verification unit matches a preset density according to the material type. If the actual density and If the deviation exceeds ±10%, it is considered abnormal.

[0012] Furthermore, the alarm module includes an audible and visual alarm and a visual interface. When overload, abnormal density, or inconsistent license plate information is detected, an alarm is triggered and the data flow is frozen. Abnormal data is stored on the edge server.

[0013] Furthermore, the weighbridge sensor adopts a strain gauge pressure sensor with a measurement accuracy of ±0.1%, a range of 0-100 tons, and a signal sampling frequency of 100Hz.

[0014] Furthermore, the barrier control system adjusts the lifting speed of the barrier arm through a PID controller, with a response time of ≤0.5s and a positioning accuracy of ±1mm.

[0015] An automatic weighing and identification method for ore loading vehicles based on light field technology, according to the aforementioned automatic weighing system for ore loading vehicles based on light field technology, is characterized by comprising the following steps:

[0016] S1. Vehicle entry inspection

[0017] When a vehicle enters the weighing area, the intelligent light field detection device is activated to collect panoramic light field data of the vehicle.

[0018] The system uses deep learning algorithms to identify license plates and vehicle models, and then matches them with a database to obtain vehicle parameter templates.

[0019] S2. Unloaded baseline modeling:

[0020] Weighbridge weighing system collects empty vehicle data ;

[0021] The light field intelligent detection device scans empty carriages and generates empty 3D models. And send a signal to raise the barrier and allow passage;

[0022] S3. Load capacity measurement for heavy vehicles:

[0023] After the vehicle is loaded with ore, it enters the weighbridge area, where the weighbridge system collects the total weight. ;

[0024] Simultaneously scan the loaded car body to generate point cloud data and calculate the loading volume. and weight ;

[0025] check If the error exceeds the limit, an alarm will be triggered.

[0026] S4. Data Closure and Output:

[0027] Generate digital measurement vouchers, including timestamps, license plate numbers, material types, volume, and weight data;

[0028] In case of abnormal operating conditions, store the original point cloud and analysis report to the edge server;

[0029] S5. Vehicle Departure Control:

[0030] After the verification is passed, the barrier is raised, the vehicle status is updated to "measured", and the vehicle leaves the weighing area.

[0031] Compared with the prior art, the present invention has significant advantages and technical effects:

[0032] First, the system boasts a high degree of automation, significantly reducing manual intervention and human error, and improving weighing efficiency. It is particularly suitable for high-frequency mining transportation scenarios, effectively handling the weighing needs of a large number of vehicles. Second, the system employs optical field-IMU fusion sensing technology, combined with deep learning algorithms, reducing vehicle stability judgment errors to 1 / 8 of traditional solutions. Simultaneously, it achieves loading volume measurement through a three-dimensional differential algorithm, with a relative error ≤0.7%, significantly improving the accuracy and reliability of vehicle and material identification, effectively overcoming the limitations of traditional two-dimensional image recognition technology. Furthermore, based on a four-layer architecture of "perception-modeling-computation-verification," the system achieves fully closed-loop control of the measurement process, with a single measurement cycle of <90 seconds, more than 50% shorter than the industry standard. It can monitor and analyze weighing data in real time, promptly detecting anomalies such as material theft by comparing scanning results with weighing data, improving the security and reliability of mine management, and providing strong technical support for mining enterprises. Finally, the system has strong environmental adaptability, operating stably in complex mining environments, unaffected by environmental factors such as light and dust, ensuring system reliability and... Stability: In terms of data management, the system constructs an audit chain through blockchain distributed evidence storage technology to ensure that the measurement data is traceable and tamper-proof throughout the entire process. It also supports data querying, statistics, and analysis, providing decision support for mine management. Furthermore, through a communication module, it shares data and collaborates with external systems such as the mine production management system and financial system, improving the overall management level of the mine. Security: The system has an automatic alarm function. When an anomaly is detected, it can promptly issue an alarm signal to remind staff to handle the situation, avoiding potential safety hazards and ensuring the safe and stable operation of mine production. Prevention of illegal activities: Through intelligent comparison of high-precision scanning results and weighing data, the system can effectively identify theft of materials, protecting the legitimate rights and interests of enterprises and providing strong technical support for mining companies. In addition, this invention simplifies the weighing process, reduces operating costs, and improves economic efficiency, demonstrating significant economic advantages. Finally, this invention promotes the intelligent construction of mines, enhances the overall technical level of the industry, and leads the mining industry towards intelligent and automated development, possessing broad application prospects and significant industry significance. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart of the automatic weighing system and method for ore loading vehicles based on light field technology according to the present invention;

[0035] Figure 2 This is a schematic diagram of the system architecture of the present invention;

[0036] Figure 3 This is a flowchart of the operation process of the present invention; Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0039] Reference Figures 1 to 3 This embodiment discloses an automatic weighing system and method for ore loading vehicles based on light field technology, including: a light field intelligent detection device installed on the top of a scaffold, which collects the shape and volume of materials inside the ore loading vehicle based on deep learning, calculates the weight, sends signals to the weighbridge and barrier control system, compares the weight data with the weight data obtained from the weighbridge, and sends signals to the barrier control system to direct the vehicle to leave the weighing area. All signals are controlled through a switch and optical fiber. The light field intelligent detection device includes: a light field acquisition module, a graphics processing module, an intelligent analysis and decision-making module, a data storage module, a communication module, and an alarm module; a weighbridge, used to collect the vehicle weight, placed at the upper and lower weighbridges respectively, and obtains the load data by the difference between the two weighings; the weighbridge includes a data acquisition unit, a weighbridge sensor, and a signal transceiver; and a barrier control system, used to receive signals and direct the vehicle to start and stop, including a barrier signal transceiver, a barrier bar, and a transmission device. By setting up two systems at the upper and lower weighbridges respectively to identify material information, automatic weighing and identification of ore materials can be quickly realized.

[0040] In the application example of weighing mining materials, the automatic weighing and identification system and method for mining materials based on the light field technology of the present invention achieve automated and intelligent operations through the following processes:

[0041] First, when a material transport vehicle enters the first weighing area, the light field intelligent detection device installed on the shed quickly moves, and the light field information inside the shed is collected through the light field acquisition module. The obtained information is converted into a signal through the graphics processing module. Based on the intelligent analysis and decision-making module, the vehicle head contour and the vehicle body are identified, and the signal of the vehicle entering the field is confirmed. The whole process takes 5 seconds.

[0042] Secondly, the system automatically obtains and matches the relevant information of the vehicle from the mine information acquisition system, including the license plate number (such as "Beijing A12345") and the vehicle type (such as "heavy semi-trailer tractor").

[0043] Then, the system determines whether the vehicle has stopped stably through the light field device and the load cell sensor installed in the weighing area to ensure the accuracy and safety of the scanning process; by continuously scanning the edge contour of the carriage, if the pixel displacement between two adjacent frames is <5 pixels, and the sensor monitors the vehicle vibration frequency, with the characteristic of amplitude <0.1 mm / s² for 5 seconds, it is determined that the vehicle is in a stable state; if the vehicle has not stopped stably, the system will give a prompt and require the driver to readjust.

[0044] Next, the light field acquisition module is used to scan the empty vehicle to obtain the volume data of the carriage. Assuming that the load cell weighing system obtains the vehicle weight of 10 tons, the system sends the data to the light field intelligent detection device through the communication module, and the data storage module stores the data obtained by the load cell weighing system this time; assuming that the analysis result of the scanning result of the light field intelligent detection device shows that the material volume in the empty vehicle carriage is 0 cubic meters, this analysis result is also recorded in the data storage module;

[0045] Subsequently, the system associates the empty vehicle volume data and empty vehicle weight data obtained by the light field intelligent detection device and the load cell weighing system with the vehicle license plate number "Beijing A12345", records the relevant data, including the time such as "January 11, 2025, 13:30", the license plate number such as "Beijing A12345", the ore category such as "iron concentrate", the initial material volume of "0 m³" and the initial material weight of "0 tons", and sends it to the database through the communication module for subsequent query and comparison, and marks the vehicle as "entered the field but not weighed";

[0046] When the vehicle completes the material loading and is ready to pass through the second weighing area, the system receives the signal of the vehicle entering the field again through the light field intelligent detection device installed on the shed.

[0047] The automatic weighing and identification system for materials based on light field technology re-matches the license plate number of the vehicle "Beijing A12345" and confirms the vehicle's entry into the venue.

[0048] The system re-judges whether the vehicle has come to a complete stop. It uses a light field device and load cell sensors installed in the weighing area to determine if the vehicle has stopped stably, ensuring the accuracy and safety of the scanning process. By continuously scanning the edge contour of the carriage, if the pixel displacement between two adjacent frames is <5 pixels, and the sensor monitors the vehicle's vibration frequency with a characteristic amplitude of <0.1 mm / s² for 5 seconds, it is determined that the vehicle is in a stable state; if the vehicle has not stopped stably, the system will give a prompt, asking the driver to readjust.

[0049] Use the light field acquisition module to scan the vehicle loaded with materials. The graphics processing module obtains the volume data of the materials in the carriage. Assuming that the intelligent analysis and decision-making module analyzes the volume of ore in the carriage to be 8 cubic meters, and combining the density of ore to be 2.5 tons per cubic meter, the weight of the loaded materials is calculated to be 20 tons.

[0050] Meanwhile, the weight data of the whole vehicle and materials obtained by the load cell weighing system through the data acquisition unit and load cell sensors is 25 tons, and the weighing data is sent to the light field intelligent detection device. Comparing the material weight of 20 tons obtained by the intelligent analysis and decision-making module with the material weight of 15 tons obtained by the load cell weighing system, there is a discrepancy at this time, indicating an abnormal situation. It is possible that the load cell system has been tampered with and there is a situation of ore theft. An alarm for the abnormal situation is sent through the alarm module. The light field intelligent detection device sends a signal to the barrier. After receiving the signal, the barrier maintains the state of blocking the vehicle. At the same time, this vehicle is marked as "weighed, abnormal, pending verification".

[0051] Finally, the system sends the analysis results to the database, including the time "January 11, 2025, 13:40", license plate number "Beijing A12345", ore category "iron concentrate powder", material volume "8 m³", and material weight "abnormal", and displays them in real time on the data platform. At this time, the barrier control system's barrier rod is always in the blocking state. Relevant personnel go to the site for verification according to the alarm signal. After confirming the theft situation, mark this event in the information column corresponding to the license plate in the system. After processing, change the correct weight data "20 tons" in the system, then send a release signal to the system, mark "weighed, abnormal, verified", and file it. Open the barrier, and the vehicle leaves the venue.

Claims

1. A truck weighing automatic measurement system based on light field technology, characterized in that, include: The intelligent light field detection device is installed on the top of the weighing area rack to collect three-dimensional light field data of the shape of the cargo compartment and the distribution of materials in real time, and calculates the volume and weight of the materials through deep learning algorithms. The intelligent light field detection device includes a light field acquisition module, an intelligent analysis and decision-making module, a data storage module, a communication module and an alarm module. The weighbridge weighing system is set up in the upper and lower weighbridge areas, including a data acquisition unit, weighbridge sensors and signal transceivers, and is used to obtain vehicle load data by the difference between two weighings. Loading vehicles used for transporting ore materials; The barrier control system includes a barrier bar, a transmission device, and a signal transceiver, used to receive instructions and control the vehicle to leave the weighing area; The light field intelligent detection device reconstructs a three-dimensional model of the carriage using point cloud data, calculates the weight based on material density, and compares it with the weight data from the weighbridge system to achieve dual verification of the load. The light field acquisition module, intelligent analysis and decision-making module, data storage module, communication module, and alarm module communicate via a switch and fiber optic network to complete data interaction and control command transmission. The intelligent analysis and decision-making module includes: The image processing unit is used to perform noise reduction, enhancement, and segmentation operations on the light field data, and to extract the outline of the carriage and the surface features of the materials. The deep learning recognition unit identifies license plate numbers, vehicle models, and material types based on convolutional neural networks. The volume calculation unit uses an adaptive octree grid algorithm to calculate the material volume in real time. ; The density verification unit matches a preset density based on the material type. If the actual density and If the deviation exceeds 10%, it is considered abnormal. For the weight of the loaded vehicle, This refers to the weight of an empty vehicle when weighed.

2. The automatic weighing system for ore loading vehicles based on light field technology according to claim 1, characterized in that, The light field acquisition module includes a 5×5 array of high-resolution light field cameras, which acquire four-dimensional light field data at a refresh rate of 60Hz. The coverage area is 8m×6m×4m, with a spatial resolution of ±2mm.

3. The automatic weighing system for ore loading vehicles based on light field technology according to claim 1, characterized in that, The alarm module includes an audible and visual alarm, which will sound and light the driver of the vehicle to alert him when overloading, abnormal density, or mismatched license plate information is detected.

4. The automatic weighing system for ore loading vehicles based on light field technology according to claim 1, characterized in that, The weighbridge sensor adopts a conventional strain gauge pressure sensor design.

5. The automatic weighing system for ore loading vehicles based on light field technology according to claim 1, characterized in that, The barrier control system adjusts the lifting speed of the barrier arm through a PID controller, with a response time of ≤0.5s and a positioning accuracy of ±1mm.

6. The automatic weighing system for ore loading vehicles based on light field technology according to claim 1, characterized in that, The volume calculation unit is implemented through the following steps: Constructing a 3D geometric model of the carriage High-density point cloud data is generated based on back projection transformation; The material volume is calculated using a hierarchical integration strategy, with the grid resolution adaptively adjusted to a minimum of 5cm×5cm×5cm. The volume measurement accuracy reaches ±0.8%, and the calculation time for a single calculation is ≤5ms.

7. An automatic weighing method for ore loading vehicles based on light field technology, based on the system described in any one of claims 1-6, characterized in that, Includes the following steps: S1. Vehicle entry inspection When a vehicle enters the weighing area, the intelligent light field detection device is activated to collect panoramic light field data of the vehicle. The system uses deep learning algorithms to identify license plates and vehicle models, and then matches them with a database to obtain vehicle parameter templates. S2. Unloaded baseline modeling: Weighbridge weighing system collects empty vehicle data ; The light field intelligent detection device scans empty carriages and generates empty 3D models. And send a signal to raise the barrier and allow passage; S3. Load capacity measurement for heavy vehicles: After the vehicle is loaded with ore, it enters the weighbridge area, where the weighbridge system collects the total weight. ; Simultaneously scan the loaded car body to generate point cloud data and calculate the loading volume. and weight ; check If the error exceeds the limit, an alarm will be triggered. S4. Data Closure and Output: Generate digital measurement vouchers, including timestamps, license plate numbers, material types, volume, and weight data; In case of abnormal operating conditions, store the original point cloud and analysis report to the edge server; S5. Vehicle Departure Control: After the verification is passed, the barrier is raised, the vehicle status is updated to "measured", and the vehicle leaves the weighing area.

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