Dynamic correction control system for electronic belt scales based on hydraulic sensing

Abstract

This invention discloses a dynamic correction control system for electronic belt scales based on hydraulic sensing. This invention relates to the field of dynamic correction technology for belt scales, and includes modules for aging level determination, weighing deviation location, and dynamic correction control. The aging level determination module collects the no-load hydraulic pressure sequence using hydraulic pressure sensors on both sides of the belt, extracts the rising edge slope and rebound section attenuation rate sequence, and calculates the dual-sequence coupling correlation entropy to obtain the aging coefficient, thus completing the overall aging level classification of the belt. The weighing deviation location module combines the actual material load sequence to calculate the correlation coefficient between the aging level and the weighing deviation. When the correlation coefficient meets the conditions, the dynamic correction control module locates the deviation points caused by aging and generates specific hydraulic correction parameters based on the aging state and point characteristics, while simultaneously achieving synchronous point correction in conjunction with the belt encoder. This invention can effectively achieve point-to-point dynamic correction, improving the metering accuracy and correction stability of electronic belt scales.

Description

Technical Field

[0001] This invention relates to the field of dynamic belt scale correction technology, specifically to a dynamic belt scale correction control system based on hydraulic sensing. Background Technology

[0002] As a core device for continuous metering of industrial bulk materials, electronic belt scales suffer from belt aging leading to elasticity loss and uneven tension deformation, which are the main factors causing weighing deviations. Dynamic correction is the key to maintaining its metering accuracy. However, existing dynamic correction technologies for electronic belt scales have the following shortcomings: Firstly, most existing solutions directly adjust based on the weighing deviation signal without accurately distinguishing the causes of the deviation. It is difficult to determine whether the deviation is caused by belt aging, and the correction action lacks specificity. Secondly, the inherent characteristics of belt aging were not extracted through hydraulic sensing, making it impossible to quantify and classify the degree of belt aging and determine the balance on both sides. This resulted in the deviation between the correction parameters and the actual aging state of the belt, which could easily lead to overcorrection or undercorrection. Thirdly, in terms of deviation point location, existing technologies mostly rely on manually setting thresholds or rule bases, without analyzing the periodic characteristics of the closed-loop operation of the belt. This makes it impossible to accurately locate fixed deviation points caused by aging, and it is easy to misjudge random interference as target points, leading to the failure of the correction action. Therefore, there is an urgent need for a dynamic correction control system for electronic belt scales based on hydraulic sensing. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a dynamic correction control system for electronic belt scales based on hydraulic sensing, which solves the problem of insufficient accuracy in dynamic correction of weighing deviations caused by belt aging.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a dynamic correction control system for an electronic belt scale based on hydraulic sensing, comprising: The aging level determination module installs hydraulic pressure sensors at the connection points between the hydraulic support rollers and the correction cylinders on both sides of the electronic belt scale. The hydraulic pressure sequence of the belt under no-load operation is collected in real time by the hydraulic pressure sensors on both sides. Based on the no-load hydraulic pressure sequence, the rising edge slope sequence and the rebound section decay rate sequence are extracted from both sides to calculate the aging coefficient of the belt on both sides and to classify the overall aging level of the belt. The rising edge refers to the time domain data segment where the hydraulic pressure rises continuously and monotonically, and the rebound section refers to the time domain data segment where the hydraulic pressure falls continuously and monotonically. The weighing deviation positioning module, based on the overall aging level of the belt, uses the weighing sensor of the electronic belt scale to collect the actual material load sequence of the belt under the current working conditions in real time, and calculates the correlation coefficient between the aging level and the weighing deviation accordingly. The dynamic correction control module locates the specific point of weighing deviation caused by belt aging if the correlation coefficient is greater than the critical threshold. Based on the overall aging level of the belt, it drives the hydraulic correction cylinder to adjust the hydraulic correction parameters corresponding to the specific point. The hydraulic correction specifically refers to the hydraulic output pressure and the correction action rate.

[0005] As a further aspect of the present invention, the specific operation of extracting the rising edge slope sequence on one side is as follows: Traverse the no-load hydraulic pressure sequence and locate the original start time t of each rising edge. aj With the termination time t bj Where j∈[1,m] and is integer, and m is the total number of rising edges; For each rising edge, extract its corresponding set of discrete sampling points {P}. j0 ,P j1 ,...,P jk}, where P j0 P is the initial no-load pressure at the starting point of the j-th rising edge. jk The original unloaded pressure at the end point of this segment is k, and k is the number of discrete sampling points on the rising edge of a single segment. All rising edges are numbered according to the timing sequence of the no-load hydraulic pressure sequence, ensuring that the sampling point set of each rising edge corresponds to the number, and timing normalization is performed on each rising edge separately. Based on the normalized timing t of each rising edge j 'Compared with the no-load pure aging pressure sequence {P j0 ,P j1 ,...,P jk According to the formula Calculate the slope K of the intrinsic rising edge of this segment. j The intrinsic slopes K1, K2, ..., K are obtained segment by segment according to the rising edge numbering order. m Construct the rising slope sequence K={K1,K2,...,K m}

[0006] As a further aspect of the present invention, the specific operation of performing timing normalization for each rising edge is as follows: according to the formula... Map all original acquisition times t within this segment to normalized time series t j ', where t aj Let t be the starting time of the rising edge of segment j. bj The end time of the rising edge of segment j.

[0007] As a further aspect of the present invention, the specific operation for extracting the attenuation rate sequence of the rebound segment on one side is as follows: Traverse the discrete sequence of no-load hydraulic pressure and locate the start time t of each rebound segment. cj Termination time t dj And number all rebound segments sequentially, and extract the set of discrete sampling points {P} corresponding to the j-th rebound segment. j0 ,P j1 ,...,P jn}, where j∈[1,m] and takes integer values, m is the total number of rebound segments, and n is the number of sampling points in a single rebound segment; The j-th rebound segment is divided into three equal continuous sub-segments based on the number of sampling points, and the average no-load pressure of each sub-segment is calculated. , , Calculate the attenuation ratio of adjacent segments: , Combining the two, according to the formula Calculate the pure aging degradation ratio of segment j; For the j-th rebound segment, based on the pure aging attenuation ratio R j Total number of sampling points n, original duration t dj -t cj The intrinsic decay rate is calculated using a logarithmic exponential decay model, and the specific expression is as follows: ; According to the timing number of the rebound segment, D1, D2, ..., D are calculated segment by segment. m Arranged sequentially, the final result is the rebound section decay rate sequence D = {D1, D2, ..., D...} m}

[0008] As a further aspect of the present invention, the specific operation for calculating the aging coefficient of a single-sided belt is as follows: Calculate the global mean of the rising slope sequence K and the rebound decay rate sequence D, respectively. , Calculate K and point by point Deviation value E j D and deviation value F j Statistical analysis of all two-dimensional deviation vectors (E) j ,F j Given a two-dimensional joint distribution of , calculate the probability G of each distribution unit. xy ; According to the formula Calculate the coupling correlation entropy H of the two sequences, and calculate the aging coefficient of the single-sided belt C=H / Hmax, where Hmax is the theoretical maximum entropy.

[0009] As a further aspect of the present invention, the aging grade label of a single-sided belt is divided according to C. The specific rules are as follows: if C < Cmin, it is classified as slightly aged; if Cmin ≤ C ≤ Cmax, it is classified as moderately aged; if C > Cmax, it is classified as severely aged, where Cmin and Cmax are the lower limit and upper limit of the aging coefficient, respectively.

[0010] As a further aspect of the present invention, the specific rule for classifying the overall aging level of the belt based on the aging coefficient of both sides is as follows: if the aging label of the left belt equals the aging label of the right belt, then the overall aging level of the belt is the same as that of the single-sided grading label; if the aging label of the left belt does not equal the aging label of the right belt, then the overall aging level is the aging label with the higher level between the two aging labels.

[0011] As a further aspect of the present invention, the specific steps for calculating the correlation coefficient between the overall aging level of the belt and the weighing deviation are as follows: Based on the determined overall aging level of the belt, a standard load reference sequence is generated that is completely consistent with the actual material load sequence length. The standard load reference sequence is the ideal load response sequence when the belt has no weighing deviation under the current aging level. The actual material load sequence is compared with the standard load reference sequence point by point according to the same time position. The synchronization deviation value of each pair of time points is calculated according to the original time sequence to form a time deviation sequence. Based on the physical properties of the belt conveyor in closed-loop operation, the resulting time-series deviation sequence Q={Q1,Q2,...,Q...} is... N}, according to the fixed number of sampling points U corresponding to a single belt loop operation cycle, reconstruct a period-aligned two-dimensional matrix RD with V rows and U columns, where N=U×V, and V is the number of complete belt operation cycles covered by the sequence; For each column of a periodically aligned two-dimensional matrix, calculate the periodic consistency value of all elements in that column at the same position. The specific expression is as follows: Where j∈[1,U] and takes integer values. To periodically align the element values ​​in the i-th row and j-th column of the two-dimensional matrix RD, Z is the mean of all elements in column j. j The periodic consistency value corresponding to the belt position in column j; The arithmetic mean of the periodic consistency values ​​at the same position in all columns is taken to obtain the final correlation coefficient Sim between aging level and weighing deviation.

[0012] As a further aspect of the present invention, the rule for locating the specific point of weighing deviation caused by belt aging is as follows: select the fixed physical point of the belt corresponding to the column with the largest period consistency value as the specific point of weighing deviation caused by belt aging.

[0013] As a further aspect of the present invention, the specific operation for adjusting the hydraulic correction parameters corresponding to specific points is as follows: Obtain the average standard hydraulic pressure Pstd measured under no-load stable operation when the belt is newly put into production and has no aging, and record the average hydraulic pressure sequence Pemp measured under no-load operation of the belt. Calculate the basic hydraulic output pressure Pstart=|Pstd-Pemp|, and then calculate the basic correction action rate Vstart=Pstart / T based on Pstart, where T is the fixed time of a single loop operation of the belt in closed loop. Based on the periodic consistency value Z corresponding to the specific location j To obtain the specific hydraulic output pressure Pown at that location. j =Pstart×Z j With dedicated correction action rate Vown j =Vstart×Z j ; Input the generated point-specific hydraulic output pressure Pown j Vown, a dedicated correction action rate j In addition to the real-time operating position signal acquired by the belt encoder, the physical location of the deviation point is uniquely bound to the position code of the belt encoder to determine the start and end codes of the point's arrival at the hydraulic correction actuator's operating area. When the position signal acquired by the belt encoder in real time reaches the start code, the hydraulic correction actuator directly starts moving at Vown... j Pown's rate of output j The hydraulic pressure is adjusted so that when the position signal collected in real time by the belt encoder reaches the end of encoding, the hydraulic correction actuator directly activates the Vown pressure. j The rate of return to the initial standby pressure.

[0014] This invention provides a dynamic correction control system for electronic belt scales based on hydraulic sensing, which has the following advantages compared with the prior art: (1) This invention collects the no-load hydraulic pressure sequence of the belt by a hydraulic pressure sensor, and extracts the dual features of the rising edge slope and the attenuation rate of the rebound section. It combines the dual sequence coupling correlation entropy to calculate the aging coefficient to complete the dual-side balance judgment, which can accurately quantify the aging degree of the belt and realize the objective classification of aging level. (2) Based on the characteristics of belt cyclic operation, the present invention constructs a cycle alignment matrix, calculates the correlation coefficient through the cycle consistency value and locates the deviation point, which can accurately distinguish the weighing deviation caused by belt aging and random interference, and lock the fixed deviation point caused by aging. (3) The present invention generates exclusive hydraulic correction parameters based on the consistency value of aging level and point cycle, and combines them with belt encoder to realize position synchronous execution, forming a point-to-point dynamic correction mechanism, which effectively improves the correction targeting. Attached Figure Description

[0015] Figure 1 This is the system principle block diagram of the present invention; Figure 2 This is a flowchart illustrating the steps of extracting the slope sequence of a single rising edge in this invention. Figure 3 This is a flowchart illustrating the steps of extracting the attenuation rate sequence of a single-sided rebound segment in this invention. Detailed Implementation

[0016] 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.

[0017] like Figure 1 This invention provides a dynamic correction control system for electronic belt scales based on hydraulic sensing; As an embodiment of this application, it includes: The aging level determination module installs hydraulic pressure sensors at the connection points between the hydraulic support rollers and the correction cylinders on both sides of the electronic belt scale. The hydraulic pressure sequence of the belt under no-load operation is collected in real time by the hydraulic pressure sensors on both sides. Based on the no-load hydraulic pressure sequence, the rising slope sequence and the springback attenuation rate sequence on both sides are extracted to calculate the aging coefficient of the belt on both sides and classify the overall aging level of the belt. The weighing deviation positioning module, based on the overall aging level of the belt, uses the weighing sensor of the electronic belt scale to collect the actual material load sequence of the belt under the current working conditions in real time, and calculates the correlation coefficient between the aging level and the weighing deviation accordingly. The dynamic correction control module locates the specific point of weighing deviation caused by belt aging if the correlation coefficient is greater than the critical threshold. Based on the overall aging level of the belt, it drives the hydraulic correction cylinder to adjust the hydraulic correction parameters corresponding to the specific point. The hydraulic correction specifically refers to the hydraulic output pressure and the correction action rate.

[0018] As a second embodiment of this application, it is implemented based on the first embodiment, except that this embodiment includes: The aging level determination module is equipped with hydraulic pressure sensors at the connection points between the hydraulic support rollers and the correction cylinders on both sides of the electronic belt scale. The hydraulic support roller is the core component that directly contacts the belt and bears the belt tension and deformation load, while the correction actuator cylinder is the actuator that provides hydraulic support and correction force to the roller. The connection point between the two is the only direct transmission node for hydraulic pressure to be transmitted from the cylinder to the roller and then to the belt. The pressure signal at this point will not be affected by pipeline attenuation, joint loss or structural deformation interference, and can fully reflect the changes in belt tension caused by aging. When the belt is not conveying materials and is running unloaded, the hydraulic pressure sequence is collected in real time by hydraulic pressure sensors on both sides of the belt. When the belt is running under load, most of the pressure changes in the signals collected by the hydraulic pressure sensor come from external load fluctuations such as the instantaneous weight of the material and running impact. The pressure signals caused by the viscoelastic changes such as elastic decay and deformation of the belt itself due to aging are completely submerged by the large material load signals and cannot be effectively identified and extracted. Based on the no-load hydraulic pressure sequence, the rising edge slope sequence and the rebound section decay rate sequence are extracted from both sides respectively. The rising edge refers to the time-domain data segment in which the hydraulic pressure continuously and monotonically increases during the process of the belt changing from an unpressurized state to a stable pressurized state in the no-load hydraulic pressure sequence. The belt of the electronic belt scale is in a continuous and cyclical state. The hydraulic support roller only supports the belt in a local area. When each section of the belt passes the roller, it will go through the process of "no pressure → start to contact → compaction and pressure → stable force". At this time, the corresponding hydraulic pressure will generate a complete rising edge. Since the belt runs in cycles, multiple independent rising edge sections will be formed in the entire hydraulic pressure sequence. The rebound section refers to the time-domain data segment in which the hydraulic pressure continuously and monotonically decreases during the process of the belt changing from a stable pressure-bearing state to a state of disengagement from the hydraulic support roller and returning to an unpressure-free state in the no-load hydraulic pressure sequence. When each section of the belt passes the hydraulic support roller, it will go through two processes: (1) from being suspended → pressed onto the roller → forming a rising section; (2) from the roller → leaving the roller → forming a springback section. When the belt rotates in a cycle, it will form a multi-segment structure in the hydraulic pressure sequence, which alternates between "rising edge → springback segment → rising edge → springback segment..." Therefore, for the same no-load hydraulic pressure sequence, the number of rising edges is the same as the number of springback segments. After extracting the rising edge slope and rebound section attenuation rate sequence of one side, the specific operation for calculating the aging coefficient of the belt on one side is as follows: Calculate the global mean of the rising slope sequence K and the rebound decay rate sequence D, respectively. , Calculate K and point by point Deviation value Ej D and deviation value F j Statistical analysis of all two-dimensional deviation vectors (E) j ,F j Given a two-dimensional joint distribution of , calculate the probability G of each distribution unit. xy ; The rising slope (characterizing aging during tensioning) and the attenuation rate during the rebound (characterizing aging during rebound) are two complementary dimensions of belt aging. Single-dimensional deviation analysis can only reflect the dispersion of a single-sided characteristic and cannot demonstrate the coupled relationship between the two. However, statistical analysis of all two-dimensional deviation vectors (E...) j ,F j The joint distribution of ) can fully capture the synergistic change patterns of the two aging characteristic dimensions; Based on the occurrence probability G xy According to the formula Calculate the coupling correlation entropy H of the two sequences, and calculate the aging coefficient of the single-sided belt C=H / Hmax, where Hmax is the theoretical maximum entropy; The more uniform the belt aging, the more concentrated the distribution of the deviation vector, and the smaller the correlation entropy H. Conversely, the more dispersed the distribution of the deviation vector, the larger the correlation entropy H. This entropy value can accurately quantify the overall disorder of belt aging (i.e., the degree of aging), and the dual-sequence coupled correlation entropy integrates aging information from both tension and springback dimensions. The aging grade label for a single-sided belt is determined based on C. The specific rules are as follows: if C < Cmin, it is classified as slightly aged; if Cmin ≤ C ≤ Cmax, it is classified as moderately aged; if C > Cmax, it is classified as severely aged. Here, Cmin and Cmax are the lower limit and upper limit of the aging coefficient, respectively. The overall aging level of the belt is determined based on the aging coefficient C of both sides of the belt. The specific rules are as follows: if the aging label of the left belt equals the aging label of the right belt, then the overall aging level of the belt is the same as that of the single-sided grading label; if the aging label of the left belt does not equal the aging label of the right belt, then the overall aging level is the aging label with the higher level between the two aging labels.

[0019] The weighing deviation positioning module, based on the overall aging level of the belt, uses the weighing sensor of the electronic belt scale to collect the actual material load sequence of the belt under the current working conditions in real time, and calculates the correlation coefficient between the aging level and the weighing deviation accordingly. On the one hand, since the overall aging level of the belt is calculated based on the no-load hydraulic pressure sequence, it can only reflect the aging characteristics of the belt itself. On the other hand, the weighing deviation is the actual measurement error exhibited by the belt during the process of conveying materials under load. Only by collecting the actual material load sequence under the load condition can a quantitative relationship be established between the abstract aging level and the concrete weighing deviation. On the other hand, the weighing deviation of electronic belt scales may come from the following two aspects: first, uneven elastic deformation caused by belt aging; second, instantaneous fluctuations in material load (such as sudden changes in flow rate or uneven distribution). By collecting continuous material load sequences in real time, the dynamic change process of the load can be completely recorded. When calculating the correlation coefficient, the "material load value at a certain moment" can be accurately matched with the "weighing deviation value at the same moment", thereby distinguishing whether the deviation is a systematic deviation caused by aging or an accidental deviation caused by material load fluctuations, and avoiding attributing deviations caused by non-aging factors to belt aging. The specific steps for calculating the correlation coefficient between the overall aging grade of the belt and the weighing deviation are as follows: Based on the determined overall aging level of the belt, a standard load reference sequence is generated that is completely consistent with the actual material load sequence length. The standard load reference sequence is the ideal load response sequence when the belt has no weighing deviation under the current aging level. The ideal load response law of belt fixation corresponding to different overall aging levels can be used to construct a dedicated benchmark sequence of the same length as the actual sequence. This can establish a direct binding relationship between aging level and ideal load response, and can be used as the sole reference for deviation comparison. The actual material load sequence is compared with the standard load reference sequence point by point according to the same time position. The synchronization deviation value of each pair of time points is calculated according to the original time sequence to form a time deviation sequence. Based on the physical properties of the belt conveyor in closed-loop operation, the resulting time-series deviation sequence Q={Q1,Q2,...,Q...} is... N}, according to the fixed number of sampling points U corresponding to a single loop of the belt, reconstruct a period-aligned two-dimensional matrix RD with V rows and U columns, where N=U×V, V is the number of complete belt loops covered by the sequence, each row of the matrix corresponds to a complete belt loop, and each column corresponds to a fixed physical position of the belt loop upwards. For each column of a periodically aligned two-dimensional matrix, calculate the periodic consistency value of all elements in that column at the same position. The specific expression is as follows: Where j∈[1,U] and takes integer values. To periodically align the element values ​​in the i-th row and j-th column of the two-dimensional matrix RD, Z is the mean of all elements in column j. j The periodic consistency value corresponding to the belt position in column j; The arithmetic mean of the periodic consistency values ​​at the same position in all columns is taken to obtain the final correlation coefficient Sim between aging level and weighing deviation.

[0020] The dynamic correction control module locates the specific point of weighing deviation caused by belt aging if the correlation coefficient is greater than the critical threshold. The specific rule is: select the fixed physical point of the belt corresponding to the column with the largest period consistency value Zj as the specific point of weighing deviation caused by belt aging. The deformation and elasticity reduction of belts caused by aging are permanent and fixed-position structural defects. These defects cause the belt to produce stable and repeatable deviations when passing through the weighing area in each cycle. Therefore, in the two-dimensional matrix of cycle alignment, the deviation signal of the column corresponding to this point will show strong repeatability and stability, with the highest cycle consistency value. Random disturbances (such as material fluctuations and load impacts) do not have the characteristics of fixed points and cycle repetition, and the cycle consistency value of their corresponding columns will be significantly lower. Based on the overall aging level of the belt, the hydraulic correction cylinder is driven to perform the action, and the hydraulic correction parameters corresponding to specific points are adjusted. The hydraulic correction is specifically the hydraulic output pressure and the correction action rate. The specific operation for adjusting the hydraulic correction parameters corresponding to specific points is as follows: Obtain the average standard hydraulic pressure Pstd measured under no-load stable operation when the belt is newly put into production and has no aging, and record the average hydraulic pressure sequence Pemp measured under no-load operation of the belt. Calculate the basic hydraulic output pressure Pstart=|Pstd-Pemp|, and then calculate the basic correction action rate Vstart=Pstart / T based on Pstart, where T is the fixed time of a single loop operation of the belt in closed loop. Based on the periodic consistency value Z corresponding to the specific location j To obtain the specific hydraulic output pressure Pown at that location. j =Pstart×Z j With dedicated correction action rate Vown j =Vstart×Z j The final output is from Pown. j With Vown j These together constitute the unique correction parameters for this location; Z j The larger the value, the more severe the aging at that point, the greater the impact on the deviation, and the stronger the correction force required. By directly multiplying it with the basic parameters, accurate point-to-point adaptation can be achieved. Input the generated point-specific hydraulic output pressure Pown j Vown, a dedicated correction action rate jIn addition to the real-time operating position signal acquired by the belt encoder, the physical location of the deviation point is uniquely bound to the position code of the belt encoder to determine the start and end codes of the point's arrival at the hydraulic correction actuator's operating area. When the position signal acquired by the belt encoder in real time reaches the start code, the hydraulic correction actuator directly starts moving at Vown... j Pown's rate of output j The hydraulic pressure is adjusted so that when the position signal collected in real time by the belt encoder reaches the end of encoding, the hydraulic correction actuator directly activates the Vown pressure. j The speed is restored to the initial standby pressure, completing a single correction action at that specific point.

[0021] As a third embodiment of this application, this embodiment further discloses a method for extracting a one-sided rising edge slope sequence based on embodiments one and two, such as... Figure 2 As shown, the specific content includes: Traverse the no-load hydraulic pressure sequence and locate the original start time t of each rising edge. aj With the termination time t bj Where j∈[1,m] and is integer, and m is the total number of rising edges; For each rising edge, extract its corresponding set of discrete sampling points {P}. j0 ,P j1 ,...,P jk}, where P j0 P is the initial no-load pressure at the starting point of the j-th rising edge. jk The original no-load pressure at the end point of this segment is k, which is the number of discrete sampling points on the rising edge of a single segment. The value of k is different for different segments on the rising edge. According to the timing sequence of the no-load hydraulic pressure sequence, all rising edges are numbered (i.e., from 1 to m), ensuring that the sampling point set of each rising edge corresponds to the number, and timing normalization is performed on each rising edge separately. The specific operation of performing timing normalization for each rising edge is as follows: according to the formula... Map all original acquisition times t within this segment to normalized time series t j To eliminate interference caused by differences in the rise time of different sections (due to slight fluctuations in the belt's unloaded running speed), where t aj Let t be the starting time of the rising edge of segment j. bj The end time of the rising edge of segment j; Based on the normalized timing t of each rising edge j 'Compared with the no-load pure aging pressure sequence {P j0 ,P j1 ,...,P jk According to the formula Calculate the slope K of the intrinsic rising edge of this segment. j The intrinsic slopes K1, K2, ..., K are obtained segment by segment according to the rising edge numbering order. m Construct the rising slope sequence K={K1,K2,...,K m}

[0022] As a fourth embodiment of this application, this embodiment further discloses a method for extracting the attenuation rate sequence of a unilateral rebound segment based on embodiments one and two, such as... Figure 3 As shown, the specific content includes: Traverse the entire discrete sequence of no-load hydraulic pressure and locate the start time t of each rebound segment. cj Termination time t dj And number all rebound segments sequentially, and extract the set of discrete sampling points {P} corresponding to the j-th rebound segment. j0 ,P j1 ,...,P jn}, where j∈[1,m] and takes integer values, m is the total number of rebound segments, which is exactly equal to the total number of rising edge segments; n is the number of sampling points per rebound segment; The j-th rebound segment is divided into three equal continuous sub-segments based on the number of sampling points, and the average no-load pressure of each sub-segment is calculated. , , Calculate the attenuation ratio of adjacent segments: , Combining the two, according to the formula Calculate the pure aging degradation ratio of segment j; For the j-th rebound segment, based on the pure aging attenuation ratio R j Total number of sampling points n, original duration t dj -t cj The intrinsic decay rate is calculated using a logarithmic exponential decay model, and the specific expression is as follows: ; According to the timing number of the rebound segment, D1, D2, ..., D are calculated segment by segment. m Arranged sequentially, the final result is the rebound section decay rate sequence D = {D1, D2, ..., D...} m}

[0023] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0024] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A dynamic correction control system for electronic belt scales based on hydraulic sensing, characterized in that, include: The aging level determination module installs hydraulic pressure sensors at the connection points between the hydraulic support rollers and the correction cylinders on both sides of the electronic belt scale. The hydraulic pressure sequence of the belt under no-load operation is collected in real time by the hydraulic pressure sensors on both sides. Based on the no-load hydraulic pressure sequence, the rising edge slope sequence and the rebound section decay rate sequence are extracted from both sides to calculate the aging coefficient of the belt on both sides and to classify the overall aging level of the belt. The rising edge refers to the time domain data segment where the hydraulic pressure rises continuously and monotonically, and the rebound section refers to the time domain data segment where the hydraulic pressure falls continuously and monotonically. The weighing deviation positioning module, based on the overall aging level of the belt, uses the weighing sensor of the electronic belt scale to collect the actual material load sequence of the belt under the current working conditions in real time, and calculates the correlation coefficient between the aging level and the weighing deviation accordingly. The dynamic correction control module locates the specific point of weighing deviation caused by belt aging if the correlation coefficient is greater than the critical threshold. Based on the overall aging level of the belt, it drives the hydraulic correction cylinder to adjust the hydraulic correction parameters corresponding to the specific point. The hydraulic correction specifically refers to the hydraulic output pressure and the correction action rate.

2. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The specific operation for extracting the rising edge slope sequence on one side is as follows: Traverse the no-load hydraulic pressure sequence and locate the original start time t of each rising edge. aj With the termination time t bj Where j∈[1,m] and is integer, and m is the total number of rising edges; For each rising edge, extract its corresponding set of discrete sampling points {P}. j0 ,P j1 ,...,P jk }, where P j0 P is the initial no-load pressure at the starting point of the j-th rising edge. jk The original unloaded pressure at the end point of this segment is k, and k is the number of discrete sampling points on the rising edge of a single segment. All rising edges are numbered according to the timing sequence of the no-load hydraulic pressure sequence, ensuring that the sampling point set of each rising edge corresponds to the number, and timing normalization is performed on each rising edge separately. Based on the normalized timing t of each rising edge j 'Compared with the no-load pure aging pressure sequence {P j0 ,P j1 ,...,P jk According to the formula Calculate the slope K of the intrinsic rising edge of this segment. j The intrinsic slopes K1, K2, ..., K are obtained segment by segment according to the rising edge numbering order. m Construct the rising slope sequence K={K1,K2,...,K m } 3. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 2, characterized in that, The specific operation of performing timing normalization for each rising edge is as follows: according to the formula Map all original acquisition times t within this segment to normalized time series t j ', where t aj Let t be the starting time of the rising edge of segment j. bj The end time of the rising edge of segment j.

4. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The specific steps for extracting the rebound segment decay rate sequence on one side are as follows: Traverse the discrete sequence of no-load hydraulic pressure and locate the start time t of each rebound segment. cj Termination time t dj And number all rebound segments sequentially, and extract the set of discrete sampling points {P} corresponding to the j-th rebound segment. j0 ,P j1 ,...,P jn }, where j∈[1,m] and takes integer values, m is the total number of rebound segments, and n is the number of sampling points in a single rebound segment; The j-th rebound segment is divided into three equal continuous sub-segments based on the number of sampling points, and the average no-load pressure of each sub-segment is calculated. , , Calculate the attenuation ratio of adjacent segments: , Combining the two, according to the formula Calculate the pure aging degradation ratio of segment j; For the j-th rebound segment, based on the pure aging decay ratio R j Total number of sampling points n, original duration t dj -t cj The intrinsic decay rate is calculated using a logarithmic exponential decay model, and the specific expression is as follows: ; According to the timing number of the rebound segment, D1, D2, ..., D are calculated segment by segment. m Arranged sequentially, the final result is the rebound section decay rate sequence D = {D1, D2, ..., D...} m } 5. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The specific steps for calculating the aging coefficient of a single-sided belt are as follows: Calculate the global mean of the rising slope sequence K and the rebound decay rate sequence D, respectively. , Calculate K point by point Deviation value E j D and deviation value F j Statistical analysis of all two-dimensional deviation vectors (E) j ,F j Given a two-dimensional joint distribution of , calculate the probability G of each distribution unit. xy ; According to the formula Calculate the coupling correlation entropy H of the two sequences, and calculate the aging coefficient of the single-sided belt C=H / Hmax, where Hmax is the theoretical maximum entropy.

6. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The aging classification label for a single-sided belt is determined based on C. The specific rules are as follows: if C < Cmin, it is classified as slightly aged; if Cmin ≤ C ≤ Cmax, it is classified as moderately aged; if C > Cmax, it is classified as severely aged. Here, Cmin and Cmax are the lower limit and upper limit of the aging coefficient, respectively.

7. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The specific rules for classifying the overall aging level of belts based on the aging coefficients of both sides are as follows: if the aging label of the left belt equals the aging label of the right belt, then the overall aging level of the belt is the same as that of the single-sided grading label; if the aging label of the left belt does not equal the aging label of the right belt, then the overall aging level is the aging label with the higher level between the two aging labels.

8. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The specific steps for calculating the correlation coefficient between the overall aging grade of the belt and the weighing deviation are as follows: Based on the determined overall aging level of the belt, a standard load reference sequence is generated that is completely consistent with the actual material load sequence length. The standard load reference sequence is the ideal load response sequence when the belt has no weighing deviation under the current aging level. The actual material load sequence is compared with the standard load reference sequence point by point according to the same time position. The synchronization deviation value of each pair of time points is calculated according to the original time sequence to form a time deviation sequence. Based on the physical properties of the belt conveyor in closed-loop operation, the resulting time-series deviation sequence Q={Q1,Q2,...,Q...} is... N }, according to the fixed number of sampling points U corresponding to a single belt loop operation cycle, reconstruct a period-aligned two-dimensional matrix RD with V rows and U columns, where N=U×V, and V is the number of complete belt operation cycles covered by the sequence; For each column of a periodically aligned two-dimensional matrix, calculate the periodic consistency value of all elements in that column at the same position. The specific expression is as follows: Where j∈[1,U] and takes integer values. To periodically align the element values ​​in the i-th row and j-th column of the two-dimensional matrix RD, Z is the mean of all elements in column j. j The periodic consistency value corresponding to the belt position in column j; The arithmetic mean of the periodic consistency values ​​at the same position in all columns is taken to obtain the final correlation coefficient Sim between aging level and weighing deviation.

9. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The rule for locating the specific point of weighing deviation caused by belt aging is as follows: select the fixed physical point of the belt corresponding to the column with the largest period consistency value as the specific point of weighing deviation caused by belt aging.

10. The dynamic correction control system for electronic belt scales based on hydraulic sensing according to claim 1, characterized in that, The specific steps for adjusting the hydraulic correction parameters corresponding to specific points are as follows: Obtain the average standard hydraulic pressure Pstd measured under no-load stable operation when the belt is newly put into production and has no aging, and record the average hydraulic pressure sequence Pemp measured under no-load operation of the belt. Calculate the basic hydraulic output pressure Pstart=|Pstd-Pemp|, and then calculate the basic correction action rate Vstart=Pstart / T based on Pstart, where T is the fixed time of a single loop operation of the belt in closed loop. Based on the periodic consistency value Z corresponding to the specific location j To obtain the specific hydraulic output pressure Pown at that location. j =Pstart×Z j With dedicated correction action rate Vown j =Vstart×Z j ; Input the generated point-specific hydraulic output pressure Pown j Vown, a dedicated correction action rate j In addition to the real-time operating position signal acquired by the belt encoder, the physical location of the deviation point is uniquely bound to the position code of the belt encoder to determine the start and end codes of the point's arrival at the hydraulic correction actuator's operating area. When the position signal acquired by the belt encoder in real time reaches the start code, the hydraulic correction actuator directly starts moving at Vown... j Pown's rate of output j The hydraulic pressure is adjusted so that when the position signal collected in real time by the belt encoder reaches the end of encoding, the hydraulic correction actuator directly activates the Vown pressure. j The rate of return to the initial standby pressure.

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