Pellet reciprocating shuttle car material distribution uniformity evaluation method and system and storage medium

Abstract

The invention discloses a pellet reciprocating shuttle car material distribution uniformity evaluation method and system and a storage medium. The method comprises the following steps that material layer thickness data of a plurality of layer thickness detectors on a grate bed of a chain grate machine within a set time period are synchronously collected; dividing the material layer thickness data into a forward cloth data segment and a backward cloth data segment according to forward and backward running state signals of the shuttle car; respectively calculating a comprehensive material distribution quantity difference value of the forward material distribution data segment and the backward material distribution data segment, and judging a material distribution quantity difference direction according to a preset threshold value; calculating the standard deviation of the forward material distribution data segment and the backward material distribution data segment along the width direction of the grate bed of the chain grate, and judging the material distribution uniformity in the width direction; and comparing the average value of the detected material layer thickness of each area with the theoretical material layer thickness, and positioning an over-thick or over-thin area of the cloth. The material distribution uniformity of the material distribution system can be evaluated, and the material distribution uniformity is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sintering pellets, and in particular to a method, system and storage medium for evaluating the distribution uniformity of a pellet reciprocating shuttle. Background Art

[0002] As one of the important links in the production of chain grate machine and rotary kiln, the distribution of chain grate machine is uniform or not, which will directly affect the roasting effect. If the distribution is uneven, the thin material layer will be over-burned and the grate plate will be burned due to the small air flow resistance, and the thick material layer will have poor air permeability and cannot be burned through, resulting in low strength of dry balls entering the kiln, and even rupture in the kiln, causing ring formation in the rotary kiln.

[0003] Currently, a common method of material distribution is using a reciprocating shuttle car. This shuttle car performs two-way material distribution on a wide belt, meaning it loads material onto the wide belt both during its forward and reverse movements. The shuttle car receives material from the raw ball belt. Even if the raw ball belt transports stable material, the material receiving speed of the shuttle car changes as it moves forward and backward, compared to the fixed raw ball belt. Therefore, if the shuttle car's moving speed and the shuttle belt's moving speed remain constant, the amount of material received on the loading belt will be inconsistent during the shuttle car's forward and reverse movements. Consequently, the amount of material distributed on the wide belt will be inconsistent during both the forward and reverse movements of the shuttle car, potentially leading to inconsistent material distribution heights along the grate trolley's direction of travel. Summary of the Invention

[0004] The present invention aims to address at least one of the technical problems existing in the prior art. To this end, the present invention provides a method, system, and storage medium for evaluating the distribution uniformity of pellet distribution systems. These methods are capable of evaluating the distribution uniformity of pellet distribution systems, providing a theoretical basis for adjusting distribution system parameters and improving distribution uniformity.

[0005] According to a first aspect of an embodiment of the present invention, a method for evaluating the uniformity of pellet distribution using a reciprocating shuttle includes a distribution system, wherein the distribution system includes a green ball belt, a chain grate bed, and a fully movable shuttle car, wherein the green ball belt and the chain grate bed are arranged in the same direction, and the shuttle car is arranged transversely between the green ball belt and the chain grate bed. The method for evaluating the uniformity of pellet distribution using the reciprocating shuttle includes the following steps:

[0006] Step S100, synchronously collecting material layer thickness data of multiple layer thickness detectors on the grate bed of the chain grate machine within a set time period;

[0007] Step S200: dividing the material layer thickness data into a forward material distribution data segment and a backward material distribution data segment according to the forward and backward operation status signals of the shuttle;

[0008] Step S300, respectively calculating the comprehensive cloth amount difference between the forward cloth data segment and the backward cloth data segment, and determining the direction of the cloth amount difference according to a preset threshold;

[0009] Step S400, calculating the standard deviation of the forward material distribution data segment and the backward material distribution data segment along the width direction of the grate bed of the chain grate machine to determine the material distribution uniformity in the width direction;

[0010] Step S500: Compare the average thickness of the material layer detected in each area with the theoretical material layer thickness to locate areas where the fabric is too thick or too thin.

[0011] According to some embodiments of the present invention, in step S100, the set time period is an integer multiple n of the shuttle forward and backward cycle time T, where n ≥ 1. The calculation formula for the set time period is:

[0012] T s =n×T

[0013] Among them, T s To set the time period.

[0014] According to some embodiments of the present invention, in step S200, the method for dividing the material layer thickness data into a forward fabric data segment and a backward fabric data segment according to the forward and backward operation status signals of the shuttle is:

[0015] According to the shuttle running state signal, the forward running time t is determined qj , back-off running time t ht , T = t qj +t ht ;

[0016] The set time period T s The material layer thickness data is divided into [0, t qj ]'s forward cloth data segment and [t qj , T]'s retreating cloth data segment.

[0017] According to some embodiments of the present invention, in step S300, the method for calculating the comprehensive fabric quantity difference includes the following steps:

[0018] Step S301: Calculate the material layer thickness and value LC of the layer thickness detector in the forward cloth data segment at each moment all_go :

[0019] Step S302: Calculate the thickness of the material layer and the value C of the layer thickness detector in the backward cloth data segment at each moment all_back :

[0020] Step S303: Calculate the LC all_go and LC all_back Substitute the following formula to get the comprehensive fabric amount difference:

[0021] Difference=sum(LC all_go )―sum(LC all_back )

[0022] in:

[0023] Difference is the difference in comprehensive fabric quantity;

[0024] LC all_go The material layer thickness of the layer thickness detector in the forward fabric data segment;

[0025] The material layer thickness of the layer thickness detector in the backward fabric data segment;

[0026] If Difference>δ1, it is determined that the forward fabric amount of the shuttle is greater than the backward fabric amount;

[0027] If Difference < -δ1, it is determined that the forward fabric amount of the shuttle is less than the backward fabric amount;

[0028] δ1 is the preset difference threshold.

[0029] According to some embodiments of the present invention, in step S400:

[0030] The calculation formula for the standard deviation of the forward cloth data segment is:

[0031]

[0032] The calculation formula of the standard deviation of the retreating cloth data segment is:

[0033]

[0034] in:

[0035] is the average material layer thickness of the forward fabric data segment;

[0036] is the average material thickness of the backward fabric data segment;

[0037] K is the number of samples of the forward cloth data segment;

[0038] L is the number of samples in the backward cloth data segment;

[0039] If σ fIf it is greater than δ2, it is determined that the thickness difference of the fabric in the width direction of the advancing fabric section is too large;

[0040] If σ b If it is greater than δ2, it is determined that the thickness difference of the fabric in the width direction of the retreating fabric section is too large;

[0041] δ2 is the preset standard deviation fluctuation threshold.

[0042] According to some embodiments of the present invention, in step S500, the calculation formula of the theoretical material layer thickness is:

[0043]

[0044] in;

[0045] G is the comprehensive conveying capacity, v is the speed of the grate bed of the chain grate, B is the effective width of the grate bed of the chain grate, and γ is the bulk density of the green pellets;

[0046] If the mean value of a detection area satisfy If it is greater than δ3, it is judged that the material layer in this area is too thick;

[0047] If the mean value of a detection area satisfy If it is less than -δ3, it is judged that the material layer in this area is too thin;

[0048] δ3 is the threshold of the allowable material layer thickness difference.

[0049] According to some embodiments of the present invention, a plurality of layer thickness detectors are provided in the width direction of the grate bed of the chain grate machine, and the layer thickness detectors are evenly spaced. The method for dividing the detection area is as follows:

[0050] According to the number of the layer thickness detectors and the width of the chain grate bed, the chain grate bed is divided into width intervals corresponding to the layer thickness detectors one by one, and the width covered by each interval is B / s;

[0051] Where B is the effective width of the chain grate machine tool and s is the number of layer thickness detectors.

[0052] According to some embodiments of the present invention, the method further includes adjusting operating parameters of the cloth distribution system according to the determination results of the cloth quantity difference direction, cloth uniformity in the width direction, and areas where the cloth is too thick or too thin, wherein adjusting the operating parameters of the cloth distribution system includes:

[0053] If the difference between the forward fabric amount and the backward fabric amount of the shuttle exceeds a preset value, the moving speed of the shuttle when moving forward or backward is adjusted;

[0054] If the difference in fabric thickness along the width direction of the forward fabric section or the backward fabric section exceeds a preset value, adjusting the lateral swing amplitude or frequency of the shuttle belt;

[0055] If the material layer in the detection area is too thick or too thin, adjust the raw ball feeding amount in the corresponding width range.

[0056] According to an embodiment of the second aspect of the present invention, a pellet reciprocating shuttle car distribution uniformity evaluation system includes a memory and a processor, wherein the memory stores a determination program for evaluating the pellet reciprocating shuttle car distribution uniformity, and the processor runs the determination program for evaluating the pellet reciprocating shuttle car distribution uniformity, so that the energy storage system economic evaluation system executes the pellet reciprocating shuttle car distribution uniformity evaluation method.

[0057] According to a third aspect of an embodiment of the present invention, a computer-readable storage medium includes: a determination program for evaluating the uniformity of material distribution of a pellet reciprocating shuttle is stored on the computer-readable storage medium, and when the determination program for evaluating the uniformity of material distribution of a pellet reciprocating shuttle is executed by a processor, a method for evaluating the uniformity of material distribution of a pellet reciprocating shuttle is implemented.

[0058] The method, system, and storage medium for evaluating pellet distribution uniformity of a reciprocating shuttle according to the embodiments of the present invention have at least the following beneficial effects:

[0059] 1. By calculating the average material thickness during the forward and reverse phases and comparing these averages, we can quantify the difference in bidirectional material delivery. This overcomes the limitations of traditional single-phase analysis. By directly comparing the total material delivery during the forward and reverse phases, we can quantify the difference in bidirectional material delivery. This also avoids misjudgments caused by mixed forward and reverse data in traditional methods.

[0060] 2. By calculating the standard deviation of the forward and reverse sections along the width of the grate, the dispersion of the material thickness across the width is reflected, directly indicating uniformity. Based on the comparison, if the material distribution is uneven across the width of the forward section, the lateral swing of the shuttle belt can be adjusted. If the material distribution is uneven across the width of the reverse section, the feed speed can be adjusted. This solves the problem that traditional solutions can only detect thickness deviations along the length of the grate bed, but cannot detect thickness unevenness across the width.

[0061] 3. By combining the difference in forward and backward material distribution with the uniformity of the material distribution in the width direction, it can be inferred that there is local accumulation or gaps in the forward or backward section, thus providing guidance for adjusting the shuttle car operating parameters. This ensures the uniformity of the material distribution and improves the baking effect.

[0062] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0064] Figure 1 This is a flowchart of a method for evaluating pellet distribution uniformity of a reciprocating shuttle car according to an embodiment of the present invention;

[0065] Figure 2 This is a schematic structural diagram of a material distribution system according to an embodiment of the present invention;

[0066] Figure 3 The diagram shows the distribution of materials by a shuttle distributor on the grate bed of a chain grate machine.

[0067] Figure 4 This is a control flow diagram of the fabric distribution system;

[0068] Figure 5 This is the structural diagram of the pellet reciprocating shuttle distribution uniformity evaluation system;

[0069] Figure Number:

[0070] Ball belt 100; shuttle car 200; chain grate bed 300; layer thickness detector 400. DETAILED DESCRIPTION

[0071] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0072] In the description of the present invention, it should be understood that descriptions involving orientation, such as the orientation or positional relationship indicated by up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0073] In the description of the present invention, "a plurality" refers to more than two. The use of "first" or "second" is solely for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of the indicated technical features, or implicitly indicating the order of the indicated technical features.

[0074] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0075] Reference Figures 1 to 3 As shown, the present invention discloses a method for evaluating the uniformity of pellet distribution by a reciprocating shuttle car, comprising a distribution system, wherein the distribution system comprises a raw ball belt, a chain grate bed, and a fully movable shuttle car, wherein the raw ball belt and the chain grate bed are arranged in the same direction, and the shuttle car is arranged transversely between the raw ball belt and the chain grate bed. The method for evaluating the uniformity of pellet distribution by the reciprocating shuttle car comprises the following steps:

[0076] Step S100, synchronously collecting material layer thickness data of multiple layer thickness detectors on the grate bed of the chain grate machine within a set time period;

[0077] Step S200: dividing the material layer thickness data into a forward material distribution data segment and a backward material distribution data segment according to the forward and backward operation status signals of the shuttle;

[0078] Step S300: Calculate the comprehensive cloth quantity difference between the forward cloth data segment and the backward cloth data segment respectively, and determine the direction of the cloth quantity difference according to a preset threshold;

[0079] Step S400: Calculate the standard deviation of the forward distribution data segment and the backward distribution data segment along the width direction of the grate bed of the chain grate machine to determine the distribution uniformity in the width direction;

[0080] Step S500: Compare the average thickness of the material layer detected in each area with the theoretical material layer thickness to locate areas where the fabric is too thick or too thin.

[0081] In this embodiment, the material distribution system includes a ball belt, a chain grate bed and a mobile shuttle car. The material distribution system is currently existing technology. The specific technical features will not be discussed in detail here. The main difference is that multiple layer thickness detectors are set on the chain grate bed to collect the material layer thickness data within a set time period. Specifically, multiple layer thickness detectors (such as infrared rangefinders) are distributed at equal intervals along the width direction of the chain grate bed to collect material layer thickness data in real time, and the forward and backward running status signals of the shuttle car (such as PLC control signals) are recorded synchronously. The data synchronization mechanism ensures that the thickness data strictly corresponds to the movement state of the shuttle car, avoiding analysis errors caused by time offset. In the embodiment, the number of layer thickness detectors set is four, and subsequent calculations are based on this.

[0082] According to the shuttle car's operating status signal (forward start, stop, reverse start, stop), the total sampling period is divided into a forward section and a reverse section. This step is based on the shuttle car's bidirectional feeding characteristics, and independently analyzes the difference in feeding amount in the forward and reverse stages. Avoid the traditional technical solution that uses the material layer thickness detected at a certain time (generally the detection values ​​of multiple positions at the same time) to judge whether the feeding is uniform under the current equipment operating parameter setting conditions through variance and other methods. However, in the actual process, the reciprocating shuttle car feeding method feeds material during both the forward and reverse processes. When the running direction of the raw ball feeding belt is perpendicular to the running direction of the shuttle car, the amount of material received by the shuttle car during the forward and reverse processes is inconsistent, resulting in obvious differences in feeding in the forward and reverse stages, resulting in inaccurate evaluation.

[0083] By calculating the average material thickness of the forward and reverse sections and comparing these averages, we can quantify the difference in bidirectional fabric delivery, overcoming the limitations of traditional single-stage analysis. This approach clarifies the direction of the difference in forward and reverse fabric delivery, avoiding misjudgments caused by mixed forward and reverse data in traditional methods.

[0084] By calculating the standard deviation of the forward and reverse sections along the grate's width, we can determine the dispersion of material thickness across the width and directly measure its uniformity. By combining the difference in forward and reverse material flow with the widthwise distribution uniformity, we can infer the presence of localized accumulation or gaps in the forward or reverse sections, providing guidance for adjusting shuttle operating parameters. This ensures uniform material distribution and improves roasting results.

[0085] In some embodiments of the present invention, in step S100, the time period is set to an integer multiple n of the shuttle's forward and backward cycle time T, where n ≥ 1. The calculation formula for the set time period is:

[0086] Ts=n×T

[0087] Among them, T s To set the time period.

[0088] In this embodiment, the shuttle-based material distribution process has a strict forward-backward periodicity, with each complete cycle consisting of the forward and backward time. The total sampling period is set to Ts = n × T to ensure that data acquisition covers a complete integer multiple of the period, avoiding incomplete data fragments due to truncated sampling and preventing the omission of critical information due to single-cycle sampling. Furthermore, the value of n should not be too large, as this will result in a large amount of data being processed, leading to data storage or processing overload.

[0089] By superimposing multi-cycle data and using the statistical averaging effect to eliminate random fluctuations (such as instantaneous accumulation of materials and short-term errors in detectors), the data signal-to-noise ratio is improved. For example, when n=3, the system continuously collects data for three cycles, calculates the mean value within each cycle, and averages it again, significantly reducing the impact of single-cycle outliers. The value of n is automatically adjusted according to the speed change of the chain grate bed. When the chain grate bed speeds up and causes T to shorten, the system dynamically increases n to maintain the total sampling time T. s Stable, ensuring sufficient data volume.

[0090] In some embodiments of the present invention, in step S200, the method for dividing the material layer thickness data into the forward fabric data segment and the backward fabric data segment according to the forward and backward running status signals of the shuttle is:

[0091] According to the shuttle running status signal, determine the forward running time t qj , back-off running time t ht , T = t qj +t ht ;

[0092] Set the time period T s The material layer thickness data is divided into [0, t qj )'s forward cloth data segment and [t qj , T)'s retreating cloth data segment.

[0093] In this embodiment, the shuttle control system (such as PLC) obtains its operating status signals in real time, including a forward start signal, a forward stop signal, a reverse start signal, and a reverse stop signal.

[0094] Use timestamps to record the start and end time of each state, for example:

[0095] Starting time of forward segment t qj_start = the moment the forward start signal is received;

[0096] End time of forward segment t qj_end = the moment the forward stop signal is received;

[0097] Backward segment start time t ht_start = the moment the reverse start signal is received;

[0098] End time of the backward segment t ht_end = The moment the reverse stop signal is received.

[0099] It is understandable that the material layer thickness data stream can be further divided into multiple sub-intervals according to the time axis to further analyze the fabric data in the sub-intervals.

[0100] In the case of some incomplete cycles (such as mid-process shutdown), the system automatically eliminates the incomplete cycle data to ensure that only complete cycles are analyzed.

[0101] This embodiment solves the failure problem of the traditional fixed segmentation method when there are periodic fluctuations or signal anomalies by real-time analysis of the shuttle car operation status signal and dynamic cutting of data segments, which can improve the accuracy and robustness of the cloth uniformity assessment.

[0102] In some embodiments of the present invention, in step S300, the method for calculating the comprehensive fabric quantity difference includes the following steps:

[0103] Step S301: Calculate the material layer thickness and value LC of the layer thickness detector in the forward cloth data segment at each moment all_go :

[0104] Step S302: Calculate the thickness of the material layer and the value C of the layer thickness detector in the backward cloth data segment at each moment all_back :

[0105] Step S303: Calculate the LC all_go and LC all_back Substitute the following formula to get the comprehensive fabric amount difference:

[0106] Difference=sum(LC all_go )―sum(LC all_back )

[0107] in:

[0108] Difference is the difference in comprehensive fabric quantity;

[0109] LC all_go The material layer thickness of the layer thickness detector in the forward fabric data segment;

[0110] LC all_back The material layer thickness of the layer thickness detector in the backward fabric data segment;

[0111] If Difference>δ1, it is determined that the forward fabric amount of the shuttle is greater than the backward fabric amount;

[0112] If Difference < -δ1, it is determined that the forward fabric amount of the shuttle is less than the backward fabric amount;

[0113] δ1 is a preset difference threshold value. According to the difference range when the fabric is uniform in historical production data, for example, it can be based on 1.5 times the maximum fluctuation value. For example, when the difference fluctuates in uniform production, the fluctuation is ±50mm, then δ1=75mm.

[0114] In this embodiment, the purpose of quantifying the difference in bidirectional fabric production is achieved by directly comparing the total amount of fabric produced during the forward and reverse phases. Specifically, the material layer thickness values ​​of each layer thickness detector (such as an infrared rangefinder) are collected during the forward phase (all_go) and the reverse phase (all_back) of the shuttle.

[0115] It should be noted that the reference Figure 2 and Figure 3 Since the layer thickness detector is located at the end of the process, in a complete sampling cycle, the point where the layer thickness detector starts sampling may not be exactly when the shuttle car is in the starting forward state (it takes some time for the material to fall into the grate bed of the chain grate machine and move to the thickness detector). This embodiment takes four layer thickness detectors for data collection and the shuttle car starts sampling in the forward state as an example. all_go For LC all_back The calculation formulas are:

[0116]

[0117]

[0118] in:

[0119] T ht Indicates the time required to move the fabric segment backward;

[0120] f represents the sampling frequency of the layer thickness detector;

[0121] m represents the number of samples in one cycle;

[0122] i represents T s The moment when the forward cloth is switched to the backward cloth within the time period is determined by the following formula:

[0123] i=T s ―(T r %T s )

[0124] in:

[0125] T r The time point when the shuttle starts sampling in the forward state;

[0126] It should be noted that if LC all_go for, The calculation method needs to be adjusted according to the starting point of sampling.

[0127] If Difference>δ1, it is determined that the amount of fabric moving forward by the shuttle is greater than the amount moving backward. You can reduce the speed of the shuttle or reduce the material supply.

[0128] If Difference<-δ1, it is determined that the forward fabric amount of the shuttle is less than the backward fabric amount. You can adjust the belt speed of the backward section or increase the forward fabric supply.

[0129] The sum difference directly quantifies deviations in the total bidirectional fabric quantity, avoiding errors caused by varying sampling points in average calculation. For example, if N = 100 sampling points in the forward section and M = 80 in the reverse section, the sum difference still accurately reflects the fabric quantity difference. Furthermore, the sum calculation is insensitive to single-point outliers. For example, if a temporary fault in a detector causes a localized thickness anomaly, the sum difference will only fluctuate by ±3%, while the average value may fluctuate by ±15%.

[0130] For example, if the shuttle's reverse section is insufficient due to belt slippage, traditional methods (mean comparison) would not detect a significant difference. However, by using the sum difference calculation, the Difference value deviates significantly from δ1, thus determining that there is an excess of material in the forward section. The shuttle's forward speed is automatically reduced, while the feed rate in the reverse section is increased.

[0131] In some embodiments of the present invention, in step S400:

[0132] The formula for calculating the standard deviation of the forward cloth data segment is:

[0133]

[0134] The formula for calculating the standard deviation of the backward cloth data segment is:

[0135]

[0136] in:

[0137] is the average material layer thickness of the forward fabric data segment;

[0138] is the average material thickness of the backward fabric data segment;

[0139] K is the number of samples of the forward cloth data segment;

[0140] L is the number of samples in the backward cloth data segment;

[0141] If σ f If it is greater than δ2, it is determined that the thickness difference of the fabric in the width direction of the advancing fabric section is too large;

[0142] If σ b If it is greater than δ2, it is determined that the thickness difference of the fabric in the width direction of the retreating fabric section is too large;

[0143] δ2 is the preset standard deviation fluctuation threshold, which can be obtained based on historical data.

[0144] In this embodiment, standard deviation calculation is used to quantify fluctuations in the grate bed's material thickness across its width. Based on the comparison, localized unevenness can be identified. If uneven material distribution occurs across the width of the forward section, this can be addressed by adjusting the lateral swing of the shuttle belt. If uneven material distribution occurs across the width of the reverse section, this can be addressed by adjusting the feed speed. This overcomes the problem that traditional solutions only detect thickness deviations along the grate bed's length, but fail to detect uneven thickness across its width.

[0145] In some embodiments of the present invention, in step S500, the calculation formula for the theoretical material layer thickness is:

[0146]

[0147] in;

[0148] G is the comprehensive conveying capacity, v is the speed of the grate bed of the chain grate, B is the effective width of the grate bed of the chain grate, and γ is the bulk density of the green pellets;

[0149] If the mean value of a detection area satisfy If it is greater than δ3, it is judged that the material layer in this area is too thick;

[0150] If the mean value of a detection area satisfy If it is less than -δ3, it is judged that the material layer in this area is too thin;

[0151] δ3 is the threshold of the allowable material layer thickness difference.

[0152] In this embodiment, a theoretical material layer thickness model is used to precisely locate areas where the material is too thick or too thin, enabling regulation of the grate bed's width. If the material layer in a particular area is determined to be too thick, the material feed can be reduced. If the material layer in a particular area is too thin, the material feed in that area can be increased. Combined with the previously described measurement of the overall thickness of the grate bed, this allows for both overall and local thickness measurement of the grate bed, providing a theoretical basis for adjusting operating parameters.

[0153] In some embodiments of the present invention, a plurality of layer thickness detectors are provided in the width direction of the grate bed of the chain grate machine, and the layer thickness detectors are evenly spaced. The detection area is divided as follows:

[0154] According to the number of layer thickness detectors and the width of the chain grate bed, the chain grate bed is divided into width intervals corresponding to the layer thickness detectors one by one, and the width covered by each interval is B / s;

[0155] Wherein, B is the effective width of the grate bed of the chain grate machine, and s is the number of layer thickness detectors.

[0156] In this embodiment, the uniformity of material distribution across the width of a chain grate bed is monitored by arranging multiple detectors at equal intervals and assigning them to specific zones. Three to five layer thickness detectors are evenly spaced across the width of the chain grate bed. The chain grate bed is divided into s equal-width zones, each with a width of ΔB = B / s, corresponding one-to-one to a detector. Furthermore, the data from each detector represents only the distribution status of the zone it is responsible for, preventing cross-zone interference.

[0157] refer to Figure 4 As shown, in some embodiments of the present invention, the operation parameters of the cloth distribution system are adjusted according to the determination results of the cloth quantity difference direction, the cloth uniformity in the width direction, and the cloth overly thick or thin areas. Adjusting the operation parameters of the cloth distribution system includes:

[0158] If the difference between the forward and backward fabric amounts of the shuttle exceeds a preset value, the forward or backward movement speed of the shuttle is adjusted;

[0159] If the difference in fabric thickness along the width direction of the forward fabric section or the backward fabric section exceeds a preset value, the lateral swing amplitude or frequency of the shuttle belt is adjusted;

[0160] If the material layer in the detection area is too thick or too thin, adjust the raw ball feeding amount in the corresponding width range.

[0161] In this embodiment, the results of the determination of fabric quantity variation, fabric uniformity across the width, and areas of excessive thickness or thinness are fed back to the control unit, which then adjusts the operating parameters of the fabric distribution system. After the parameters are adjusted, fabric thickness data is recollected to verify the effectiveness of the adjustments until the determination result meets the requirements.

[0162] refer to Figure 5 As shown, the present invention also discloses a pellet reciprocating shuttle car distribution uniformity evaluation system, including a memory and a processor, the memory stores a determination program for pellet reciprocating shuttle car distribution uniformity evaluation, and the processor runs the determination program for pellet reciprocating shuttle car distribution uniformity evaluation to enable the energy storage system economic evaluation system to execute the pellet reciprocating shuttle car distribution uniformity evaluation method.

[0163] The present invention also discloses a computer-readable storage medium, including a computer-readable storage medium storing a determination program for evaluating the uniformity of the distribution of pellets on a reciprocating shuttle vehicle. When the determination program for evaluating the uniformity of the distribution of pellets on a reciprocating shuttle vehicle is executed by a processor, a method for evaluating the uniformity of the distribution of pellets on a reciprocating shuttle vehicle is implemented.

[0164] Since the pellet reciprocating shuttle material distribution uniformity evaluation system and computer-readable storage medium adopt all the technical solutions of the pellet reciprocating shuttle material distribution uniformity evaluation method of the above embodiment, they at least have all the beneficial effects brought by the technical solutions of the above embodiment, which will not be repeated here.

[0165] The embodiments of the present invention are described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Various changes can be made within the knowledge of ordinary technicians in the relevant technical field without departing from the scope of the present invention.

Claims

1. A method for evaluating the uniformity of pellet distribution using a reciprocating shuttle, comprising a distribution system comprising a pellet belt, a grate bed, and a mobile shuttle, wherein the pellet belt and the grate bed are arranged in the same direction, and the shuttle is arranged transversely between the pellet belt and the grate bed. The pellet reciprocating shuttle car distribution uniformity evaluation method comprises the following steps: Step S100, synchronously collecting material layer thickness data of multiple layer thickness detectors on the grate bed of the chain grate machine within a set time period; Step S200: dividing the material layer thickness data into a forward material distribution data segment and a backward material distribution data segment according to the forward and backward operation status signals of the shuttle; Step S300, respectively calculating the comprehensive cloth amount difference between the forward cloth data segment and the backward cloth data segment, and determining the direction of the cloth amount difference according to a preset threshold; Step S400, calculating the standard deviation of the forward material distribution data segment and the backward material distribution data segment along the width direction of the grate bed of the chain grate machine to determine the material distribution uniformity in the width direction; Step S500: Compare the average thickness of the material layer detected in each area with the theoretical material layer thickness to locate areas where the fabric is too thick or too thin.

2. The method for evaluating pellet distribution uniformity of a reciprocating shuttle according to claim 1, characterized in that: In step S100, the set time period is an integer multiple n of the shuttle's forward and backward cycle time T, where n≥1. The calculation formula for the set time period is: T s =n×T Among them, T s To set the time period.

3. The method for evaluating pellet distribution uniformity of a reciprocating shuttle according to claim 2, characterized in that: In step S200, the method for dividing the material layer thickness data into a forward fabric data segment and a backward fabric data segment according to the forward and backward running status signals of the shuttle is as follows: According to the shuttle running state signal, the forward running time t is determined qj , back-off running time t ht , T = t qj +t ht ; The set time period T s The material layer thickness data is divided into [0, t qj ]'s forward cloth data segment and [t qj , T]'s retreating cloth data segment.

4. The method for evaluating pellet distribution uniformity of a reciprocating shuttle according to claim 1, characterized in that: In step S300, the method for calculating the comprehensive cloth quantity difference includes the following steps: Step S301: Calculate the material layer thickness and value LC of the layer thickness detector in the forward cloth data segment at each moment all_go : Step S302: Calculate the thickness of the material layer and the value C of the layer thickness detector in the backward cloth data segment at each moment all_back : Step S303: Calculate the LC all_go and LC all_back Substitute the following formula to get the comprehensive fabric amount difference: Difference=sum(LC all_go )―sum(LC all_back ) in: Difference is the difference in comprehensive fabric quantity; LC all_go The material layer thickness of the layer thickness detector in the forward fabric data segment; The material layer thickness of the layer thickness detector in the backward fabric data segment; If Difference>δ1, it is determined that the forward fabric amount of the shuttle is greater than the backward fabric amount; If Difference < -δ1, it is determined that the forward fabric amount of the shuttle is less than the backward fabric amount; δ1 is the preset difference threshold.

5. The method for evaluating pellet distribution uniformity of a reciprocating shuttle according to claim 1, characterized in that: In step S400: The calculation formula for the standard deviation of the forward cloth data segment is: The calculation formula of the standard deviation of the retreating cloth data segment is: in: is the average material layer thickness of the forward fabric data segment; is the average material thickness of the backward fabric data segment; K is the number of samples of the forward cloth data segment; L is the number of samples in the backward cloth data segment; If σ f If it is greater than δ2, it is determined that the thickness difference of the fabric in the width direction of the advancing fabric section is too large; If σ b If it is greater than δ2, it is determined that the thickness difference of the fabric in the width direction of the retreating fabric section is too large; δ2 is the preset standard deviation fluctuation threshold.

6. The method for evaluating pellet distribution uniformity of a reciprocating shuttle according to claim 1, characterized in that: In step S500, the calculation formula of the theoretical material layer thickness is: in; G is the comprehensive conveying capacity, v is the speed of the grate bed of the chain grate, B is the effective width of the grate bed of the chain grate, and γ is the bulk density of the green pellets; If the mean value of a detection area satisfy If it is greater than δ3, it is judged that the material layer in this area is too thick; If the mean value of a detection area satisfy If it is less than -δ3, it is judged that the material layer in this area is too thin; δ3 is the threshold of the allowable material layer thickness difference.

7. The method for evaluating pellet distribution uniformity of a reciprocating shuttle according to claim 6, characterized in that: A plurality of layer thickness detectors are provided in the width direction of the grate bed of the chain grate machine. The layer thickness detectors are evenly spaced and the detection area is divided as follows: According to the number of the layer thickness detectors and the width of the chain grate bed, the chain grate bed is divided into width intervals corresponding to the layer thickness detectors one by one, and the width covered by each interval is B / s; Where B is the effective width of the chain grate machine tool and s is the number of layer thickness detectors.

8. The method for evaluating pellet distribution uniformity of a reciprocating shuttle according to claim 1, characterized in that: The method further includes adjusting the operating parameters of the cloth distribution system according to the determination results of the cloth quantity difference direction, the cloth uniformity in the width direction, and the areas where the cloth is too thick or too thin, wherein the adjusting the operating parameters of the cloth distribution system includes: If the difference between the forward fabric amount and the backward fabric amount of the shuttle exceeds a preset value, the moving speed of the shuttle when moving forward or backward is adjusted; If the difference in fabric thickness along the width direction of the forward fabric section or the backward fabric section exceeds a preset value, adjusting the lateral swing amplitude or frequency of the shuttle belt; If the material layer in the detection area is too thick or too thin, adjust the raw ball feeding amount in the corresponding width range.

9. A pellet reciprocating shuttle distribution uniformity evaluation system, characterized by: The system comprises a memory and a processor, wherein the memory stores a determination program for evaluating the uniformity of material distribution of a pellet reciprocating shuttle car, and the processor runs the determination program for evaluating the uniformity of material distribution of a pellet reciprocating shuttle car, so that the system for evaluating the uniformity of material distribution of a pellet reciprocating shuttle car executes the method for evaluating the uniformity of material distribution of a pellet reciprocating shuttle car according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that include: The computer-readable storage medium stores a determination program for evaluating the uniformity of pellet distribution of the reciprocating shuttle car. When the determination program for evaluating the uniformity of pellet distribution of the reciprocating shuttle car is executed by the processor, the method for evaluating the uniformity of pellet distribution of the reciprocating shuttle car according to any one of claims 1 to 8 is implemented.

Images