Laser scanning type cut tobacco filling value detection optimization system and method

Abstract

The invention provides a laser scanning type cut tobacco filling value detection optimization system and method, and relates to the technical field of tobacco processing.The laser scanning type cut tobacco filling value detection optimization system comprises a laser sensing module, a dynamic weighing module, a data processing module and an environment monitoring module; generating three-dimensional tobacco shred form data of the target tobacco shred based on the laser reflection signal; performing weight measurement on the target tobacco shreds to generate corresponding tobacco shred weight data; calculating tobacco shred filling value data of the target tobacco shred based on the three-dimensional tobacco shred form data and the tobacco shred weight data; the tobacco shred environmental condition of the target tobacco shred is monitored, and the tobacco shred environmental condition is correspondingly compensated based on the environmental monitoring result, so that the tobacco shred filling value can be monitored in real time, rapid and accurate detection of the tobacco shred filling value is realized, the stability and reliability of the tobacco shred detection environment are ensured, and the production efficiency and the quality control level of tobacco products are improved.

Description

Technical Field

[0001] The invention relates to the technical field of tobacco processing, and in particular to a laser scanning type tobacco shred filling value detection optimization system and method. Background Art

[0002] In the tobacco production process, accurate detection of tobacco filling value is crucial to ensure product quality and optimize the production process.

[0003] In the prior art, traditional detection methods have problems such as cumbersome operation and insufficient precision, which are difficult to adapt to the high-efficiency and intelligent trend of modern tobacco production, and thus cannot quickly and accurately detect the tobacco filling value.

[0004] Therefore, it is necessary to provide a laser scanning tobacco filling value detection optimization system and method to solve the above technical problems. Summary of the invention

[0005] In order to solve the above-mentioned technical problems, the present invention provides a laser scanning tobacco filling value detection optimization system and method, which is used to solve the problems that traditional detection methods have complicated operations and insufficient precision, are difficult to adapt to the high-efficiency and intelligent trends of modern tobacco production, and cannot quickly and accurately detect tobacco filling values.

[0006] The present invention provides a laser scanning tobacco filling value detection and optimization system, the detection and optimization system comprising: A laser sensor module, used for emitting a laser beam to a target tobacco shred and receiving a laser reflection signal of the laser beam, and generating three-dimensional tobacco shred morphology data of the target tobacco shred based on the laser reflection signal; A dynamic weighing module, used to measure the weight of the target tobacco and generate corresponding tobacco weight data; A data processing module, used for calculating tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data; The environment monitoring module is used to monitor the tobacco environment conditions of the target tobacco and to compensate for the tobacco environment conditions accordingly based on the environment monitoring results.

[0007] Preferably, the laser sensor module is used to emit a laser beam to the target tobacco and receive a laser reflection signal of the laser beam, and generate three-dimensional tobacco shape data of the target tobacco based on the laser reflection signal, specifically including: a transmitting and receiving unit, configured to transmit the laser beam to the target tobacco shreds through a laser transmitter, and receive the laser reflection signal reflected by the surface of the target tobacco shreds through the signal receiver; A signal conversion unit, used to perform signal conversion processing on the laser reflection signal to generate a corresponding digital reflection signal; A three-dimensional reconstruction unit is used to generate three-dimensional tobacco morphological data of the target tobacco according to the digital reflection signal based on a three-dimensional reconstruction algorithm.

[0008] Preferably, the calculation formula of the laser reflection signal is as follows: In the formula, represents the laser reflection signal received by the signal receiver at time t; Indicates that the laser transmitter is The original laser signal of the laser beam emitted at the moment; A represents the amplitude attenuation factor of the original laser signal; represents the time delay of the original laser signal propagation; represents the noise signal at time t.

[0009] Preferably, the signal conversion unit is used to perform signal conversion processing on the laser reflection signal to generate a corresponding digital reflection signal, specifically including: The laser reflection signal is subjected to discrete Fourier transform to convert the laser reflection signal from a time domain signal form to a frequency domain signal form to generate the digital reflection signal. The corresponding calculation formula is as follows: In the formula, represents the kth digital reflection signal; N represents the length of the laser reflection signal; represents the nth laser reflection signal; j represents an imaginary unit; and e represents a natural constant.

[0010] Preferably, the three-dimensional reconstruction unit is used to generate the three-dimensional tobacco morphology data of the target tobacco according to the digital reflection signal based on a three-dimensional reconstruction algorithm, specifically comprising: Determine a first signal receiver and a second signal receiver and a preset reference plane according to the digital reflection signal; The three-dimensional tobacco coordinate data of the target tobacco is calculated according to the position coordinates of the first signal receiver, the position coordinates of the second signal receiver, the angle between the first signal receiver and the preset reference plane, and the angle between the second signal receiver and the preset reference plane. The corresponding calculation formula is as follows: In the formula, The three-dimensional coordinates representing the surface coordinate points of the target tobacco; represents the position coordinates of the first signal receiver; represents the position coordinates of the second signal receiver; represents the angle between the first signal receiver and the preset reference plane; represents the angle between the second signal receiver and the preset reference plane; represents the tangent function; Based on the three-dimensional coordinates of all surface coordinate points of the target shredded tobacco, the three-dimensional shredded tobacco coordinate data of the target shredded tobacco is determined.

[0011] Preferably, the three-dimensional tobacco coordinate data of the target tobacco is used as the first control point, and the three-dimensional tobacco shape curve of the target tobacco is obtained by adjusting the position of the first control point. The corresponding calculation formula is as follows: In the formula, The coordinates of the point with parameter r on the three-dimensional tobacco shape curve of the target tobacco; represents the B-spline basis function of the i-th order d with respect to parameter r; represents the coordinates of the i-th first control point; m represents the order of the B-spline; The three-dimensional tobacco coordinate data of the target tobacco are arranged in a two-dimensional grid form to generate corresponding second control points. The three-dimensional tobacco shape surface of the target tobacco is obtained by adjusting the position and weight of the second control points. The corresponding calculation formula is as follows: In the formula, The coordinates of the point with parameters u,v on the three-dimensional tobacco shape surface representing the target tobacco; represents the weight corresponding to the second control point; Represents the first indivual B-spline basis function of order; Represents the first indivual B-spline basis function of order; represents the coordinates of the second control point; Indicates the number of the second control points in the u direction; Indicates the number of the second control points in the v direction; The three-dimensional tobacco morphology curve and the three-dimensional tobacco morphology surface of the target tobacco are summarized to obtain the three-dimensional tobacco morphology data of the target tobacco.

[0012] Preferably, the data processing module is used to calculate the tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data, and specifically includes: A filtering processing unit, used for filtering the three-dimensional tobacco morphology data based on a Gaussian filtering algorithm, and generating corresponding tobacco processing data in combination with the tobacco weight data; A feature extraction unit, used for extracting features from the tobacco processing data to generate corresponding tobacco feature information; The result output unit is used to calculate the tobacco filling value data of the target tobacco according to the tobacco characteristic information and output it to the user end.

[0013] Preferably, the result output unit is used to calculate the tobacco filling value data of the target tobacco according to the tobacco characteristic information and output it to the user terminal, specifically including: Based on the tobacco characteristic information and in combination with the volume of the tobacco filling measurement container, the tobacco filling value data of the target tobacco is calculated, and the corresponding calculation formula is as follows: In the formula, represents the tobacco filling value data of the target tobacco; L represents the number of small volume units corresponding to the tobacco characteristic information of the target tobacco; represents the volume of the fth small volume unit; Indicates the volume of the measuring container filled with tobacco; The calculated tobacco filling value data is output to the user terminal.

[0014] A laser scanning tobacco filling value detection optimization method, the detection optimization method comprising: emitting a laser beam to a target tobacco shred and receiving a laser reflection signal of the laser beam, and generating three-dimensional tobacco shred morphological data of the target tobacco shred based on the laser reflection signal; Measuring the weight of the target shredded tobacco to generate corresponding shredded tobacco weight data; Calculating tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data; The tobacco environmental conditions of the target tobacco are monitored, and the tobacco environmental conditions are compensated accordingly based on the environmental monitoring results.

[0015] Compared with the related art, the laser scanning tobacco filling value detection optimization system and method provided by the present invention has the following beneficial effects: The present invention comprises a laser sensing module, a dynamic weighing module, a data processing module and an environmental monitoring module. The module emits a laser beam to a target tobacco shred and receives a laser reflection signal of the laser beam, generates three-dimensional tobacco shred morphological data of the target tobacco shred based on the laser reflection signal; measures the weight of the target tobacco shred to generate corresponding tobacco shred weight data; calculates tobacco shred filling value data of the target tobacco shred based on the three-dimensional tobacco shred morphological data and the tobacco shred weight data; monitors tobacco shred environmental conditions of the target tobacco shred, and compensates for the tobacco shred environmental conditions accordingly based on the environmental monitoring result, thereby realizing rapid and accurate measurement of tobacco shred filling value and improving the production efficiency and quality control level of tobacco products.

[0016] The present invention can realize accurate measurement of tobacco filling value through laser sensing technology, and can monitor the tobacco filling value in real time, timely discover problems in the production process, and quickly adjust the production process accordingly, thereby reducing rework and waste caused by unqualified filling values, thereby improving the operating efficiency of the entire tobacco production chain; at the same time, the present invention can improve the quality and consistency of tobacco products according to the tobacco filling value data detected in real time to meet strict tobacco quality control requirements; the present invention can monitor and compensate for tobacco environmental conditions in real time, thereby ensuring the stability and reliability of the tobacco detection environment and improving the calculation accuracy of the tobacco filling rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A system block diagram of a laser scanning tobacco filling value detection and optimization system of the present invention; Figure 2 A structural block diagram of a laser sensor module of a laser scanning tobacco filling value detection and optimization system of the present invention; Figure 3 It is a structural block diagram of a data processing module of a laser scanning tobacco filling value detection and optimization system of the present invention; Figure 4 The present invention is a flow chart of a laser scanning tobacco filling value detection optimization method. DETAILED DESCRIPTION

[0018] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0019] Embodiment 1

[0020] like Figure 1 As shown, a laser scanning tobacco filling value detection and optimization system, the detection and optimization system comprises: A laser sensor module, used for emitting a laser beam to a target tobacco shred and receiving a laser reflection signal of the laser beam, and generating three-dimensional tobacco shred morphology data of the target tobacco shred based on the laser reflection signal; Among them, the target tobacco refers to the tobacco whose filling value is to be measured; the laser reflection signal refers to the laser signal reflected back from the surface of the tobacco after the laser beam interacts with the tobacco; the three-dimensional tobacco morphology data includes the spatial distribution information, volume density characteristics and surface morphology characteristics of the tobacco.

[0021] It is understandable that the laser sensing module can emit a precisely controlled laser beam to the tobacco area to be tested by using high-precision laser sensing technology. The module can accurately capture the reflection signal after the laser beam interacts with the target tobacco, and determine the three-dimensional coordinate data of the tobacco based on these reflection signals, and then construct three-dimensional tobacco shape curves and surfaces to obtain the three-dimensional shape data of the tobacco.

[0022] It should be noted that these three-dimensional morphological data not only contain the spatial distribution information of tobacco, but also reflect key characteristics such as its volume density and surface morphology.

[0023] A dynamic weighing module, used to measure the weight of the target tobacco and generate corresponding tobacco weight data; Among them, the dynamic weighing module can use precise electronic scale technology to measure the weight of tobacco in real time and accurately, and generate corresponding tobacco weight data. These data can be used to evaluate the filling density of tobacco and calculate the quality of tobacco per unit volume.

[0024] A data processing module, used for calculating tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data; Among them, the data processing module can receive data input from the laser sensor module and the dynamic weighing module, integrate the three-dimensional morphological data and weight information, and accurately calculate the filling value data of the tobacco, so as to accurately evaluate the compactness, uniformity and overall quality of the tobacco structure.

[0025] The environment monitoring module is used to monitor the tobacco environment conditions of the target tobacco and to compensate for the tobacco environment conditions accordingly based on the environment monitoring results.

[0026] In actual applications, the environmental monitoring module can monitor the environmental conditions of the tobacco in real time, including temperature, humidity, and air flow rate, which may have a significant impact on the physical properties of the tobacco and the quality of the final product.

[0027] Based on real-time monitoring data, the module can automatically adjust and compensate for environmental conditions, thereby preventing the optimization measurement process of the tobacco structure from being disturbed by the external environment, further improving the stability and consistency of the quality of tobacco products.

[0028] In the specific implementation process, Figure 2 As shown, the laser sensor module 200 is used to emit a laser beam to the target tobacco and receive a laser reflection signal of the laser beam, and generate three-dimensional tobacco shape data of the target tobacco based on the laser reflection signal, specifically including: The transmitting and receiving unit 201 is used to transmit the laser beam to the target tobacco through the laser transmitter, and receive the laser reflection signal reflected by the surface of the target tobacco through the signal receiver; The signal conversion unit 202 is used to perform signal conversion processing on the laser reflection signal to generate a corresponding digital reflection signal; The three-dimensional reconstruction unit 203 is used to generate three-dimensional tobacco morphological data of the target tobacco according to the digital reflection signal based on a three-dimensional reconstruction algorithm.

[0029] Among them, during the tobacco production process, the laser sensing module can emit a precisely controlled laser beam to the surface of the tobacco and accurately receive the laser reflection signal reflected back from the surface of the tobacco, so that the physical morphology information of the tobacco can be obtained by optical means, and then the three-dimensional morphology data of the tobacco can be generated based on these reflection signals.

[0030] The transmitting and receiving unit integrates a high-performance laser transmitter and a highly sensitive signal receiver. Specifically, the laser transmitter can project one or more precisely calibrated laser beams to the tobacco to be tested; while the signal receiver can capture the laser reflection signal reflected back by the irregular structure on the surface of the tobacco.

[0031] It should be noted that during the laser signal transmission and reception process, the laser transmitter and the signal receiver have a high degree of synchronization and stability, thereby ensuring the accuracy and reliability of the received reflected signal.

[0032] The signal conversion unit can perform signal conversion processing on the received laser reflection signal, and then can convert the original analog reflection signal into a digital reflection signal that is convenient for subsequent processing, thereby reducing noise interference and improving signal quality.

[0033] The three-dimensional reconstruction unit uses a three-dimensional reconstruction algorithm to conduct an in-depth analysis of the digital reflection signal, and then accurately construct a three-dimensional morphological model of the tobacco, generating three-dimensional tobacco morphological data containing key information such as tobacco volume, shape, and surface roughness.

[0034] The calculation formula of the laser reflection signal is as follows: In the formula, represents the laser reflection signal received by the signal receiver at time t; Indicates that the laser transmitter is The original laser signal of the laser beam emitted at the moment; A represents the amplitude attenuation factor of the original laser signal; represents the time delay of the original laser signal propagation; represents the noise signal at time t.

[0035] It is understandable that the laser reflection signal received by the signal receiver at a certain moment is closely related to the original laser signal of the laser beam emitted by the laser transmitter at the corresponding previous moment. The original laser signal may experience amplitude attenuation during the propagation process, and the corresponding attenuation effect is quantified by the amplitude attenuation factor, which reflects the energy loss of the signal in the propagation medium due to factors such as scattering and absorption.

[0036] In addition, there is a time delay in the process from the emission to the reception of the original laser signal, which is mainly determined by the signal propagation distance, the refractive index of the medium and the speed of light.

[0037] Finally, the noise signal at that moment needs to be considered. The noise signal represents all signal components reflected by non-targets in the environment that interfere with the receiver and may affect the signal quality.

[0038] Therefore, by integrating various physical effects in the process of laser signal emission, propagation, attenuation and reception, an accurate laser reflection signal can be obtained.

[0039] The signal conversion unit is used to perform signal conversion processing on the laser reflection signal to generate a corresponding digital reflection signal, specifically including: The laser reflection signal is subjected to discrete Fourier transform to convert the laser reflection signal from a time domain signal form to a frequency domain signal form to generate the digital reflection signal. The corresponding calculation formula is as follows: In the formula, represents the kth digital reflection signal; N represents the length of the laser reflection signal; represents the nth laser reflection signal; j represents an imaginary unit; and e represents a natural constant.

[0040] In practical applications, the signal conversion module can perform precise signal conversion processing on the received laser reflection signal to generate a corresponding digital reflection signal.

[0041] Specifically, a discrete Fourier transform (DFT) can be performed on the input laser reflection signal to efficiently convert the original time domain signal form into a frequency domain signal form, thereby ensuring the accuracy and efficiency of the signal conversion and facilitating subsequent signal analysis and processing.

[0042] The three-dimensional reconstruction unit is used to generate the three-dimensional tobacco morphology data of the target tobacco according to the digital reflection signal based on the three-dimensional reconstruction algorithm, specifically including: Determine a first signal receiver and a second signal receiver and a preset reference plane according to the digital reflection signal; The three-dimensional tobacco coordinate data of the target tobacco is calculated according to the position coordinates of the first signal receiver, the position coordinates of the second signal receiver, the angle between the first signal receiver and the preset reference plane, and the angle between the second signal receiver and the preset reference plane. The corresponding calculation formula is as follows: In the formula, The three-dimensional coordinates representing the surface coordinate points of the target tobacco; represents the position coordinates of the first signal receiver; represents the position coordinates of the second signal receiver; represents the angle between the first signal receiver and the preset reference plane; represents the angle between the second signal receiver and the preset reference plane; represents the tangent function; Based on the three-dimensional coordinates of all surface coordinate points of the target shredded tobacco, the three-dimensional shredded tobacco coordinate data of the target shredded tobacco is determined.

[0043] It should be noted that, firstly, the spatial positions of the first signal receiver and the second signal receiver can be accurately located according to the received digital reflection signal, and a preset reference plane can be determined as a reference to ensure the uniformity and accuracy of all measurement data.

[0044] Next, the three-dimensional coordinates of each coordinate point on the tobacco surface can be calculated by combining the position coordinates of the first signal receiver and the second signal receiver, and the angles formed between them and the preset reference plane.

[0045] Finally, the three-dimensional coordinate data of the tobacco shreds can be obtained based on the three-dimensional coordinates of all surface coordinate points of the tobacco shreds, thereby truly and accurately reflecting the actual shape of the tobacco shreds.

[0046] The three-dimensional tobacco coordinate data of the target tobacco is used as the first control point, and the three-dimensional tobacco shape curve of the target tobacco is obtained by adjusting the position of the first control point. The corresponding calculation formula is as follows: In the formula, The coordinates of the point with parameter r on the three-dimensional tobacco shape curve of the target tobacco; represents the B-spline basis function of the i-th order d with respect to parameter r; represents the coordinates of the i-th first control point; m represents the order of the B-spline; The three-dimensional tobacco coordinate data of the target tobacco are arranged in a two-dimensional grid form to generate corresponding second control points. The three-dimensional tobacco shape surface of the target tobacco is obtained by adjusting the position and weight of the second control points. The corresponding calculation formula is as follows: In the formula, The coordinates of the point with parameters u,v on the three-dimensional tobacco shape surface representing the target tobacco; represents the weight corresponding to the second control point; Represents the first indivual B-spline basis function of order; Represents the first indivual B-spline basis function of order; represents the coordinates of the second control point; Indicates the number of the second control points in the u direction; Indicates the number of the second control points in the v direction; The three-dimensional tobacco morphology curve and the three-dimensional tobacco morphology surface of the target tobacco are summarized to obtain the three-dimensional tobacco morphology data of the target tobacco.

[0047] In practical applications, during the three-dimensional shape reconstruction process, the three-dimensional coordinate data of the tobacco shreds can firstly be used as an initial first control point set, and then the three-dimensional shape curve of the tobacco shreds can be constructed.

[0048] Specifically, by adjusting the spatial positions of these first control points, the three-dimensional shape curve of the tobacco can be obtained using the B-spline curve generation technology. The coordinates of the curve points under a specific parameter value can be determined based on the order of the B-spline basis function of the parameter and the coordinates of the first control point.

[0049] Furthermore, in order to construct a three-dimensional tobacco morphology surface, the three-dimensional coordinate data of the tobacco can be arranged in a two-dimensional grid form to form a second control point set. The surface point coordinates under a specific parameter combination represent the number of second control points in different directions, thereby ensuring the integrity and continuity of the surface in two dimensions.

[0050] Finally, the obtained three-dimensional tobacco morphology curves and three-dimensional tobacco morphology surfaces can be summarized to obtain complete three-dimensional tobacco morphology data, thereby truly and accurately reflecting the three-dimensional morphological characteristics of the tobacco.

[0051] like Figure 3 As shown, the data processing module 300 is used to calculate the tobacco filling value data of the target tobacco based on the three-dimensional tobacco shape data and the tobacco weight data, and specifically includes: A filtering processing unit 301 is used to filter the three-dimensional tobacco morphology data based on a Gaussian filtering algorithm, and generate corresponding tobacco processing data in combination with the tobacco weight data; A feature extraction unit 302 is used to extract features from the tobacco processing data to generate corresponding tobacco feature information; The result output unit 303 is used to calculate the tobacco filling value data of the target tobacco according to the tobacco characteristic information and output it to the user end.

[0052] It is understandable that the data processing module can calculate the filling value data of the tobacco cut based on the accurate three-dimensional tobacco cut shape data and tobacco cut weight data.

[0053] Specifically, the filtering processing unit can use the Gaussian filtering algorithm to filter the collected three-dimensional tobacco morphology data, thereby removing noise interference in the three-dimensional tobacco morphology data and improving the accuracy and reliability of the data. Then, the unit can combine the filtered three-dimensional tobacco morphology data with the tobacco weight data to generate corresponding tobacco processing data.

[0054] Next, the feature extraction unit can perform in-depth feature extraction on the tobacco processing data, identify and extract key features that are closely related to the tobacco filling performance, and generate comprehensive tobacco feature information.

[0055] Furthermore, the result output unit can accurately calculate the filling value data of the tobacco according to the tobacco characteristic information, thereby helping to evaluate the quality of the tobacco, optimize the tobacco production process, and improve the overall quality of tobacco products. At the same time, the result output unit can also output the tobacco filling value data to the user end in a timely and accurate manner.

[0056] The result output unit is used to calculate the tobacco filling value data of the target tobacco according to the tobacco characteristic information and output it to the user end, specifically including: Based on the tobacco characteristic information and in combination with the volume of the tobacco filling measurement container, the tobacco filling value data of the target tobacco is calculated, and the corresponding calculation formula is as follows: In the formula, represents the tobacco filling value data of the target tobacco; L represents the number of small volume units corresponding to the tobacco characteristic information of the target tobacco; represents the volume of the fth small volume unit; Indicates the volume of the measuring container filled with tobacco; The calculated tobacco filling value data is output to the user terminal.

[0057] It should be noted that the result output module can accurately calculate the filling value data of the tobacco sample based on the obtained tobacco characteristic information, and efficiently transmit the data to the user end.

[0058] Specifically, firstly, the filling value data of the tobacco can be calculated based on the tobacco characteristic information, including key indicators such as tobacco length, density, moisture content, etc., combined with the known volume of the tobacco filling measurement container.

[0059] It should be noted that the tobacco can be divided into several small volume units. By measuring the volume of each small volume unit one by one and counting the total number of these small volume units, the total volume of the tobacco sample in the tobacco filling measurement container can be obtained.

[0060] Furthermore, the filling value data of the tobacco can be obtained by multiplying the number of small volume units of tobacco by the volume of each small volume unit, and then dividing it by the total volume of the tobacco filling measurement container, thereby accurately reflecting the filling tightness of the tobacco in the container. The tobacco filling value data is also one of the important indicators for evaluating the quality of tobacco.

[0061] Finally, the precisely calculated tobacco filling value data can be output to the user end in real time through data transmission technology, facilitating subsequent analysis, decision-making and quality control.

[0062] Embodiment 2

[0063] like Figure 4 As shown, a laser scanning tobacco filling value detection optimization method, the detection optimization method comprises: S1, emitting a laser beam to a target tobacco shred and receiving a laser reflection signal of the laser beam, and generating three-dimensional tobacco shred morphological data of the target tobacco shred based on the laser reflection signal; S2, measuring the weight of the target tobacco to generate corresponding tobacco weight data; S3, calculating tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data; S4, monitoring the tobacco environmental conditions of the target tobacco, and performing corresponding compensation for the tobacco environmental conditions based on the environmental monitoring results.

[0064] Through the introduction of the above embodiments, the present invention adopts a laser scanning tobacco filling value detection and optimization system and method, which specifically includes a laser sensor module, a dynamic weighing module, a data processing module and an environmental monitoring module. By emitting a laser beam to the target tobacco and receiving the laser reflection signal of the laser beam, three-dimensional tobacco morphological data of the target tobacco is generated based on the laser reflection signal; the weight of the target tobacco is measured to generate the corresponding tobacco weight data; the tobacco filling value data of the target tobacco is calculated based on the three-dimensional tobacco morphological data and the tobacco weight data; the tobacco environmental conditions of the target tobacco are monitored, and the tobacco environmental conditions are compensated accordingly based on the environmental monitoring results, so as to realize the rapid and accurate measurement of the tobacco filling value and improve the production efficiency and quality control level of tobacco products.

[0065] The present invention can realize accurate measurement of tobacco filling value through laser sensing technology, and can monitor the tobacco filling value in real time, timely discover problems in the production process, and quickly adjust the production process accordingly, thereby reducing rework and waste caused by unqualified filling values, and improving the operating efficiency of the entire tobacco production chain; at the same time, the present invention can improve the quality and consistency of tobacco products according to the tobacco filling value data detected in real time, so as to meet strict tobacco quality control requirements; the present invention can monitor and compensate for tobacco environmental conditions in real time, thereby ensuring the stability and reliability of the tobacco detection environment, and improving the calculation accuracy of the tobacco filling rate.

[0066] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0067] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0068] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. A laser scanning tobacco filling value detection and optimization system, characterized in that: The detection optimization system comprises: A laser sensor module, used for emitting a laser beam to a target tobacco shred and receiving a laser reflection signal of the laser beam, and generating three-dimensional tobacco shred morphology data of the target tobacco shred based on the laser reflection signal; A dynamic weighing module, used to measure the weight of the target tobacco and generate corresponding tobacco weight data; A data processing module, used for calculating tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data; The environment monitoring module is used to monitor the tobacco environment conditions of the target tobacco and to compensate for the tobacco environment conditions accordingly based on the environment monitoring results.

2. The laser scanning tobacco filling value detection and optimization system according to claim 1, characterized in that: The laser sensor module is used to emit a laser beam to the target tobacco and receive a laser reflection signal of the laser beam, and generate three-dimensional tobacco shape data of the target tobacco based on the laser reflection signal, specifically including: a transmitting and receiving unit, configured to transmit the laser beam to the target tobacco shreds through a laser transmitter, and receive the laser reflection signal reflected by the surface of the target tobacco shreds through the signal receiver; A signal conversion unit, used to perform signal conversion processing on the laser reflection signal to generate a corresponding digital reflection signal; A three-dimensional reconstruction unit is used to generate three-dimensional tobacco morphological data of the target tobacco according to the digital reflection signal based on a three-dimensional reconstruction algorithm.

3. The laser scanning tobacco filling value detection and optimization system according to claim 2, characterized in that: The calculation formula of the laser reflection signal is as follows: In the formula, represents the laser reflection signal received by the signal receiver at time t; Indicates that the laser transmitter is The original laser signal of the laser beam emitted at the moment; A represents the amplitude attenuation factor of the original laser signal; represents the time delay of the original laser signal propagation; represents the noise signal at time t.

4. The laser scanning tobacco filling value detection and optimization system according to claim 2, characterized in that: The signal conversion unit is used to perform signal conversion processing on the laser reflection signal to generate a corresponding digital reflection signal, specifically including: The laser reflection signal is subjected to discrete Fourier transform to convert the laser reflection signal from a time domain signal form to a frequency domain signal form to generate the digital reflection signal. The corresponding calculation formula is as follows: In the formula, represents the kth digital reflection signal; N represents the length of the laser reflection signal; represents the nth laser reflection signal; j represents an imaginary unit; and e represents a natural constant.

5. The laser scanning tobacco filling value detection and optimization system according to claim 2, characterized in that: The three-dimensional reconstruction unit is used to generate the three-dimensional tobacco morphology data of the target tobacco according to the digital reflection signal based on the three-dimensional reconstruction algorithm, specifically including: Determine a first signal receiver and a second signal receiver and a preset reference plane according to the digital reflection signal; The three-dimensional tobacco coordinate data of the target tobacco is calculated according to the position coordinates of the first signal receiver, the position coordinates of the second signal receiver, the angle between the first signal receiver and the preset reference plane, and the angle between the second signal receiver and the preset reference plane. The corresponding calculation formula is as follows: In the formula, The three-dimensional coordinates representing the surface coordinate points of the target tobacco; represents the position coordinates of the first signal receiver; represents the position coordinates of the second signal receiver; represents the angle between the first signal receiver and the preset reference plane; represents the angle between the second signal receiver and the preset reference plane; represents the tangent function; Based on the three-dimensional coordinates of all surface coordinate points of the target shredded tobacco, the three-dimensional shredded tobacco coordinate data of the target shredded tobacco is determined.

6. The laser scanning tobacco filling value detection and optimization system according to claim 5, characterized in that: The three-dimensional tobacco coordinate data of the target tobacco is used as the first control point, and the three-dimensional tobacco shape curve of the target tobacco is obtained by adjusting the position of the first control point. The corresponding calculation formula is as follows: In the formula, The coordinates of the point with parameter r on the three-dimensional tobacco shape curve of the target tobacco; represents the B-spline basis function of the i-th order d with respect to parameter r; represents the coordinates of the i-th first control point; m represents the order of the B-spline; The three-dimensional tobacco coordinate data of the target tobacco are arranged in a two-dimensional grid form to generate corresponding second control points. The three-dimensional tobacco shape surface of the target tobacco is obtained by adjusting the position and weight of the second control points. The corresponding calculation formula is as follows: In the formula, The coordinates of the point with parameters u,v on the three-dimensional tobacco shape surface representing the target tobacco; represents the weight corresponding to the second control point; Represents the first indivual B-spline basis function of order; Represents the first indivual B-spline basis function of order; represents the coordinates of the second control point; Indicates the number of the second control points in the u direction; Indicates the number of the second control points in the v direction; The three-dimensional tobacco morphology curve and the three-dimensional tobacco morphology surface of the target tobacco are summarized to obtain the three-dimensional tobacco morphology data of the target tobacco.

7. The laser scanning tobacco filling value detection and optimization system according to claim 1, characterized in that: The data processing module is used to calculate the tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data, and specifically includes: A filtering processing unit, used for filtering the three-dimensional tobacco morphology data based on a Gaussian filtering algorithm, and generating corresponding tobacco processing data in combination with the tobacco weight data; A feature extraction unit, used for extracting features from the tobacco processing data to generate corresponding tobacco feature information; The result output unit is used to calculate the tobacco filling value data of the target tobacco according to the tobacco characteristic information and output it to the user end.

8. The laser scanning tobacco filling value detection and optimization system according to claim 7, characterized in that: The result output unit is used to calculate the tobacco filling value data of the target tobacco according to the tobacco characteristic information and output it to the user end, specifically including: Based on the tobacco characteristic information and in combination with the volume of the tobacco filling measurement container, the tobacco filling value data of the target tobacco is calculated, and the corresponding calculation formula is as follows: In the formula, represents the tobacco filling value data of the target tobacco; L represents the number of small volume units corresponding to the tobacco characteristic information of the target tobacco; represents the volume of the fth small volume unit; Indicates the volume of the measuring container filled with tobacco; The calculated tobacco filling value data is output to the user terminal.

9. A laser scanning tobacco filling value detection optimization method, applied to a laser scanning tobacco filling value detection optimization system according to any one of claims 1 to 8, the detection optimization method comprising: emitting a laser beam to a target tobacco shred and receiving a laser reflection signal of the laser beam, and generating three-dimensional tobacco shred morphological data of the target tobacco shred based on the laser reflection signal; Measuring the weight of the target shredded tobacco to generate corresponding shredded tobacco weight data; Calculating tobacco filling value data of the target tobacco based on the three-dimensional tobacco shred shape data and the tobacco shred weight data; The tobacco environmental conditions of the target tobacco are monitored, and the tobacco environmental conditions are compensated accordingly based on the environmental monitoring results.

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