Intelligent gypsum warehouse feeding detection system

Abstract

The application relates to the field of material detection, and discloses an intelligent gypsum warehouse feeding detection system which is provided with a radiation sensor unit, a dust detector, an experimental analysis module, a simulation analysis module and a data processing module. The experimental analysis module obtains experimental data of a plurality of times of material conveying experiments and calculates a threshold value of the times of grab bucket feeding; the simulation analysis module obtains experimental data of a plurality of times of feeding experiments and calculates a critical value of dust concentration; the data processing module counts the real-time times of grab bucket feeding according to a shielding signal, and judges the size of the real-time times of grab bucket feeding and the threshold value of the times of grab bucket feeding. When the real-time times of grab bucket feeding are lower than the threshold value of the times of grab bucket feeding, it is judged that the feeding port is blocked; when the real-time times of grab bucket feeding are higher than or in the threshold value interval of the times of grab bucket feeding, it is judged that the feeding port is full. In the application, the judgment accuracy of the material pile state of the feeding port is improved under the conditions of dust flying and blocking, so as to ensure the utilization rate of the material warehouse.

Description

Technical Field

[0001] This invention relates to the field of material detection, specifically to an intelligent gypsum silo feeding detection system. Background Technology

[0002] To meet the requirements of intelligent, efficient and stable operation of gypsum board production lines, gypsum factories equip their gypsum warehouses with intelligent, unmanned gypsum warehouse systems to achieve unmanned operation and management. The intelligent gypsum warehouse system typically uses multiple overhead cranes equipped with electric grabs. The movement of the cranes drives the electric grabs to transport materials back and forth, realizing the feeding, unloading and distribution of gypsum materials. During the feeding task, the electric grabs transport the material to the top of the feeding port, and the material fed into the feeding port will enter the silo through the mesh gaps.

[0003] Multiple silos are usually installed in the gypsum storage room. Through-beam sensors are installed at the feeding port to detect the material accumulation above the feeding port. If the beam emitted by the through-beam sensor is blocked, it is determined that the material at the feeding port has been piled up to a certain height and is in a full state. At this time, the electric grab bucket will no longer feed material into that silo and will select other silos that are not full to feed material.

[0004] In existing technologies, if material gets stuck in the mesh gaps at the feeding port, a material pile of a certain height will form above the feeding port, leading to incorrect judgment results. If a large amount of dust is generated at the feeding port during the feeding and throwing process, it will block the sensor beam and cause the sensor to misjudge. Therefore, material blockage at the feeding port and dust flying around can both cause incorrect judgment of the material pile status at the feeding port, which may result in insufficient feeding in the silo and low silo storage utilization. Summary of the Invention

[0005] To address this issue, the present invention provides an intelligent gypsum silo feeding detection system, which effectively solves the technical problem in the prior art where material blockage at the feeding port and dust pollution can lead to incorrect judgment of the material pile status at the feeding port, potentially resulting in insufficient feeding in the silo and low silo storage utilization.

[0006] To solve the above-mentioned technical problems, the present invention specifically provides the following technical solution: an intelligent gypsum silo feeding and detection system, comprising:

[0007] A beam sensor unit is installed on the outer periphery above the feeding port. The beam sensor unit determines the height of the material pile above the feeding port based on the propagation of the beam and sends out a blocking signal when the beam is blocked.

[0008] A dust detector measures the dust concentration in the area above the feeding port.

[0009] The experimental analysis module acquires experimental data from several material handling experiments. Based on the experimental data, it obtains the critical value of cumulative material weight, the maximum value of material grabbing capacity, and the minimum value of material grabbing capacity, and calculates the threshold for the number of times the grab bucket can be used to feed material.

[0010] The simulation analysis module acquires experimental data from several feeding experiments, constructs the correlation between dust concentration and occlusion signal based on the experimental data and corresponding dust concentration values, and obtains the critical value of dust concentration based on the correlation between dust concentration and occlusion signal.

[0011] The data processing module receives the obstruction signal when the dust concentration value is lower than the dust concentration threshold. The data processing module counts the number of times the grab bucket feeds in real time based on the obstruction signal and determines the size of the number of times the grab bucket feeds in real time and the threshold value of the number of times the grab bucket feeds in real time.

[0012] Specifically, when the number of times the grab bucket feeds material in real time is lower than the threshold for the number of times the grab bucket feeds material, it is determined that the feeding port is blocked; when the number of times the grab bucket feeds material in real time is higher than or within the threshold range for the number of times the grab bucket feeds material, it is determined that the feeding port is full.

[0013] Furthermore, the through-beam sensor unit includes a transmitter and a receiver;

[0014] The transmitter is positioned directly opposite the receiver, and at least two sets of transmitters and receivers are configured.

[0015] The transmitters and receivers in the same group are at the same height, while the transmitters and receivers in different groups are at different heights.

[0016] Furthermore, in each feeding experiment, the dust concentration value in the area above the feeding port and the obstruction signal emitted by the through-beam sensor unit were obtained.

[0017] Establish the correlation between dust concentration and occlusion signal, arrange the dust concentration values ​​in order of magnitude, and adjust the occlusion parameter x according to the light beam received by the receiver;

[0018] A concentration correlation table is drawn based on the correlation relationship. The search is performed according to the order of the concentration correlation table. When the occlusion parameter x changes, the corresponding dust concentration value is marked as the dust concentration critical value.

[0019] Furthermore, when the receiver is able to receive the light beam, the blocking parameter x is 1, and when the receiver is unable to receive the light beam, the blocking parameter x is 0.

[0020] Furthermore, the amount of material grabbed by the grab bucket in a single operation was adjusted, and the material grabbed by the grab bucket was transported and fed into the feeding port multiple times to conduct a material handling experiment.

[0021] During each material transport process using the grab bucket, the amount of material grabbed by the grab bucket in a single trip is recorded. The total weight of material transported in a single trip is obtained by summing the amounts of material grabbed by the grab bucket in each trip.

[0022] Furthermore, in each material feeding experiment, the cumulative weight of the material is recorded and arranged in order of size, and the occlusion parameter x is recorded according to the situation of the receiver receiving the light beam;

[0023] A weight correlation table is drawn based on the occlusion parameter x and the cumulative weight of the material. The table is searched in order. When the occlusion parameter x of the two sets of through-beam sensor units changes successively, the corresponding cumulative weight of the material is marked as the critical value of the cumulative weight of the material.

[0024] Furthermore, after obtaining experimental data from several material handling experiments, experimental data from material handling experiments in which the grid plate at the feeding port was blocked were removed.

[0025] Furthermore, the single grabbing amount obtained from several feeding experiments is arranged in order of size to obtain the maximum grabbing amount and the minimum grabbing amount.

[0026] Substitute the maximum and minimum grab capacity of the grab bucket into the following formula to calculate the grab bucket feeding frequency threshold:

[0027]

[0028] In the formula, N min N max All are threshold values ​​for the number of times the grab bucket can be fed, N max N represents the maximum number of times the grab bucket can feed material. min M represents the minimum number of times the grab bucket feeds material, and M represents the critical value of the cumulative weight of material fed. max m is the maximum material grabbing capacity of the grab bucket. min This represents the minimum material grabbing capacity of the grab bucket.

[0029] Furthermore, by comparing the height positions of different through-beam sensor units, through-beam sensor units with higher height positions are defined as high-position units, and through-beam sensor units with lower height positions are defined as low-position units.

[0030] After determining whether the feeding port is blocked or full, check the time points corresponding to the changes in the blocking parameter x of the high-level unit and the low-level unit.

[0031] Specifically, if the time point corresponding to the change of the occlusion parameter x of the lower unit is earlier than the time point corresponding to the change of the occlusion parameter x of the higher unit, the judgment result is output; if the time point corresponding to the change of the occlusion parameter x of the lower unit is later than the time point corresponding to the change of the occlusion parameter x of the higher unit, it is judged that there is an anomaly in the through-beam sensor unit.

[0032] Furthermore, the material grabbed by the grab bucket is poured into the feeding port by opening and closing to conduct a feeding experiment;

[0033] Adjust the opening and closing degree of the grab bucket, and conduct several feeding experiments based on different grab bucket opening and closing degrees.

[0034] Compared with the prior art, the present invention has the following advantages:

[0035] In this invention, multiple material handling and feeding experiments are conducted. Based on the experimental data from the material handling experiments, the threshold for the number of times the grab bucket can feed is calculated. In the actual feeding process, if the real-time number of times the grab bucket can feed is lower than the threshold, it is determined that the feeding port is blocked, so that workers can clean the feeding port to facilitate subsequent feeding.

[0036] Furthermore, based on the experimental data from the feeding experiment, the critical value of dust concentration is calculated. During the actual feeding process, the blocking signal is only received when the dust concentration value is lower than the critical value, and then it is determined whether there is a blockage. If there is no blockage, it is determined that the feeding port is full. Considering dust flying and blockage, the accuracy of judging the state of the material pile at the feeding port is improved, so as to ensure the utilization rate of the material storage silo. Attached Figure Description

[0037] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0038] Figure 1 A structural block diagram of an intelligent gypsum silo feeding and detection system provided in an embodiment of the present invention;

[0039] Figure 2 This is a concentration correlation table in an embodiment of the present invention;

[0040] Figure 3 This is a weight association table in an embodiment of the present invention. Detailed Implementation

[0041] 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.

[0042] like Figure 1As shown, the present invention provides an intelligent gypsum silo feeding and detection system, which includes a through-beam sensor unit, a dust detector, an experimental analysis module, a simulation analysis module, and a data processing module.

[0043] The through-beam sensor unit is installed on the outer periphery above the feeding port. The through-beam sensor unit determines the height status of the material pile above the feeding port based on the propagation of the beam and sends an obstruction signal when the beam is blocked. To improve the signal accuracy of the obstruction signal, the through-beam sensor unit is set to at least two sets.

[0044] The dust detector measures the dust concentration in the area above the feeding port.

[0045] The experimental analysis module acquires experimental data from several material handling experiments. Based on the experimental data, it obtains the critical value of cumulative material weight, the maximum value of material grabbing capacity, and the minimum value of material grabbing capacity, and calculates the threshold for the number of times the grab bucket can be used to feed material.

[0046] The simulation analysis module acquires experimental data from several feeding experiments, constructs the correlation between dust concentration and occlusion signal based on the experimental data and corresponding dust concentration values, and obtains the critical value of dust concentration based on the correlation between dust concentration and occlusion signal.

[0047] The data processing module receives the obstruction signal when the dust concentration value is lower than the dust concentration threshold. The data processing module counts the number of times the grab bucket feeds in real time based on the obstruction signal and determines the size of the number of times the grab bucket feeds in real time and the threshold value of the number of times the grab bucket feeds in real time.

[0048] Specifically, when the number of times the grab bucket feeds material in real time is lower than the threshold for the number of times the grab bucket feeds material, it is determined that the feeding port is blocked; when the number of times the grab bucket feeds material in real time is higher than or within the threshold range for the number of times the grab bucket feeds material, it is determined that the feeding port is full.

[0049] In this invention, multiple material handling and feeding experiments are conducted. Based on the experimental data from the material handling experiments, the threshold for the number of times the grab bucket can feed is calculated. In the actual feeding process, if the real-time number of times the grab bucket can feed is lower than the threshold, it is determined that the feeding port is blocked, so that workers can clean the feeding port to facilitate subsequent feeding.

[0050] Furthermore, based on the experimental data from the feeding experiment, the critical value of dust concentration is calculated. During the actual feeding process, the blocking signal is only received when the dust concentration value is lower than the critical value, and then it is determined whether there is a blockage. If there is no blockage, it is determined that the feeding port is full. Considering dust flying and blockage, the accuracy of judging the state of the material pile at the feeding port is improved, so as to ensure the utilization rate of the material storage silo.

[0051] In this invention, the through-beam sensor unit includes a transmitter and a receiver. The transmitter is used to emit a light beam, and the receiver is used to receive the light beam. The transmitter is directly opposite the receiver. The height and position of the transmitter and receiver in the same group are consistent. At least two groups of transmitters and receivers are set. Generally, the light beams emitted by the two groups of transmitters and receivers form a cross shape. The two groups of transmitters and receivers are installed at different corner positions.

[0052] In addition, to avoid interference between beams, the present invention also incorporates the following design: different sets of transmitters and receivers are positioned at different heights, and the height of the material pile is detected at different positions, enabling real-time monitoring of the material pile height during the stacking process.

[0053] To prevent dust from affecting the material pile detection process of the through-beam sensor unit, this invention includes a dust detector to measure the dust concentration. The dust detector is mainly used in the feeding experiment.

[0054] The material grabbed by the grab bucket is poured into the feeding port by opening and closing the grab bucket to conduct a feeding experiment. That is, the material in the grab bucket is completely poured into the feeding port. This process can be regarded as completing a feeding experiment. In order to form different dust concentrations in different feeding experiments, it is necessary to adjust the degree of grab bucket opening and closing and conduct several feeding experiments based on different degrees of grab bucket opening and closing.

[0055] The greater the opening angle of the grab bucket, the more material is fed per unit time, resulting in a greater impact on the grid plate, a higher probability of dust being stirred up, and a higher dust concentration. Conversely, when the grab bucket opening angle is less than a certain angle, the material falls at a smaller flow rate, which also easily generates dust, leading to excessive dust concentration. Therefore, in controlling the grab bucket opening angle, a grab bucket opening angle can be established at certain intervals, and a feeding experiment can be conducted for each grab bucket opening angle. During the feeding experiment, the dust concentration may vary at different time points, so it is necessary to collect real-time dust concentration values ​​within the time period.

[0056] In addition, in each feeding experiment, the dust concentration value in the area above the feeding port and the obstruction signal emitted by the through-beam sensor unit are obtained. When recording the dust concentration value each time, it is also necessary to determine whether the through-beam sensor unit emits an obstruction signal.

[0057] Based on the experimental data from the feeding experiment, the correlation between dust concentration and occlusion signal was constructed. The dust concentration values ​​were arranged in order of magnitude, and the occlusion parameter x was adjusted according to the receiver's beam reception.

[0058] A concentration correlation table is drawn based on the correlation relationship. The search is performed according to the order of the concentration correlation table. When the occlusion parameter x changes, the corresponding dust concentration value is marked as the dust concentration critical value.

[0059] Specifically, when the receiver can receive the light beam, the occlusion parameter x is defined as 1, and when the receiver cannot receive the light beam, the occlusion parameter x is defined as 0.

[0060] like Figure 2 As shown, the dust concentration values ​​and corresponding shading parameters from multiple feeding experiments are summarized. The dust concentration values ​​are arranged in descending order, and their corresponding shading parameters x are arranged one by one with the dust concentration values ​​to obtain a concentration correlation table. Searching according to the order of the concentration correlation table, when the dust concentration value is large, the shading parameter x is 0. Figure 2 In the table, the dust concentration values ​​are a, b, c, and d, and the occlusion parameter x is 0, 0, 1, and 1 respectively. When the dust concentration value is c, the occlusion parameter x changes from 0 to 1. The dust concentration value c is marked as the critical dust concentration value.

[0061] To improve the accuracy of the critical dust concentration value, as many feeding experiments as possible should be conducted to make the dust concentrations in the concentration correlation table more closely arranged and the difference between adjacent dust concentrations smaller. This can ensure the accuracy of the critical dust concentration value.

[0062] To avoid the impact of material blockage at the feeding port on the material pile detection results of the through-beam sensor unit, this invention first conducts several material handling experiments. The results of these experiments are used to obtain the critical value of cumulative feeding weight, the maximum value of material grabbing capacity of the grab bucket, and the minimum value of material grabbing capacity of the grab bucket.

[0063] The material handling experiment is as follows: adjust the amount of material to be grabbed by the grab bucket at one time, transport the grabbed material through the grab bucket and put it into the feeding port, and repeat the above operation. When the feeding port is filled with material after the above steps, it is considered that one material handling experiment is completed.

[0064] In each material handling experiment, to avoid the impact of material blockage on the accuracy of the experimental data, workers need to directly observe or use a camera to observe whether there is material blockage at the grid plate. If there is material blockage, after obtaining experimental data from several material handling experiments, the experimental data of the material handling experiments in which the grid plate at the feeding port is blocked are discarded.

[0065] During each material transport process using the grab bucket, the amount of material grabbed by the grab bucket in a single trip is recorded. The total weight of material transported in a single trip is obtained by summing the amounts of material grabbed by the grab bucket in each trip.

[0066] In each material feeding experiment, the cumulative weight of the material was recorded and arranged in order of size. The blocking parameter x was adjusted according to the beam received by the receiver.

[0067] A weight correlation table is drawn based on the occlusion parameter x and the cumulative weight of the material. The table is searched in order. When the occlusion parameter x of the two sets of through-beam sensor units changes successively, the corresponding cumulative weight of the material is marked as the critical value of the cumulative weight of the material.

[0068] In each material handling experiment, the amount of material grabbed by the grab bucket in a single operation can be measured and recorded using a gravity sensor. The total weight of material grabbed by the grab bucket in each operation is then added together to obtain the cumulative weight of material for one operation.

[0069] like Figure 3 As shown, in each material feeding experiment, the cumulative weight of the material was recorded and arranged in descending order. The occlusion parameter x was recorded based on the receiver's beam reception. A weight correlation table was created based on the occlusion parameter x and the cumulative weight of the material. The table was searched sequentially, and when the cumulative weight of the material was large, the occlusion parameter x was 0. Figure 3 In the table, the cumulative weights of the materials fed are e, f, g, and h, respectively, and the occlusion parameter x is 0, 0, 1, and 1. When the cumulative weight of the materials fed is g, the occlusion parameter x changes from 0 to 1. The cumulative weight of the materials fed is g, which is marked as the critical value of the cumulative weight of the materials fed.

[0070] The single grabbing amount obtained from several feeding experiments is arranged in order of magnitude to obtain the maximum grabbing amount and the minimum grabbing amount.

[0071] Substitute the maximum and minimum grab capacity of the grab bucket into the following formula to calculate the grab bucket feeding frequency threshold:

[0072]

[0073] In the formula, N min N max All are threshold values ​​for the number of times the grab bucket can be fed, N max N represents the maximum number of times the grab bucket can feed material. min M represents the minimum number of times the grab bucket feeds material, and M represents the critical value of the cumulative weight of material fed. max m is the maximum material grabbing capacity of the grab bucket. min This represents the minimum material grabbing capacity of the grab bucket.

[0074] The above steps can be used to calculate the maximum and minimum number of times the grab bucket feeds material. When the real-time number of times the grab bucket feeds material is lower than the minimum number of times the grab bucket feeds material, it is determined that the feeding port is blocked. When the real-time number of times the grab bucket feeds material is higher than the maximum number of times the grab bucket feeds material, or is between the maximum and minimum number of times the grab bucket feeds material, it is determined that the feeding port is full.

[0075] Specifically, in actual operation, when the dust concentration is below the critical dust concentration value and a blocking signal is received, the number of times the grab bucket feeds material in real time is counted. When the number of times the grab bucket feeds material in real time is lower than the minimum number of times the grab bucket feeds material, it is determined that the feeding port is blocked. When the number of times the grab bucket feeds material in real time is higher than the maximum number of times the grab bucket feeds material, or is between the maximum number of times the grab bucket feeds material and the minimum number of times the grab bucket feeds material, it is determined that the feeding port is full.

[0076] The above content provides a specific implementation process for judging whether the feed inlet is full or blocked. However, in actual application, there may be abnormal situations during the use of the through-beam sensor unit, which may cause abnormal signals to be emitted. In this regard, the present invention makes the following design: compare the height position of different through-beam sensor units, define the through-beam sensor unit with a higher height position as a high-position unit, and define the through-beam sensor unit with a lower height position as a low-position unit.

[0077] After determining whether the feeding port is blocked or full, check the time points corresponding to the changes in the blocking parameter x of the high-level unit and the low-level unit.

[0078] Specifically, if the time point corresponding to the change of the occlusion parameter x of the lower unit is earlier than the time point corresponding to the change of the occlusion parameter x of the higher unit, the judgment result is output; if the time point corresponding to the change of the occlusion parameter x of the lower unit is later than the time point corresponding to the change of the occlusion parameter x of the higher unit, it is judged that there is an anomaly in the through-beam sensor unit.

[0079] Assuming the time point corresponding to the change of the shielding parameter x of the low-level unit is t1, and the time point corresponding to the change of the shielding parameter x of the high-level unit is t2, determine the order of the two time points;

[0080] If t1 occurs before t2, the output will be either "material blockage at the feed port" or "material full at the feed port". If t1 occurs after ...

[0081] In summary, the main implementation process of this invention is as follows:

[0082] Several feeding experiments were conducted, and the dust concentration values ​​at different time points during the feeding experiments and the blocking signals emitted by the through-beam sensor unit were statistically analyzed.

[0083] The dust concentration values ​​are arranged in descending order, and their corresponding occlusion parameters x are arranged one by one to correspond with the dust concentration values ​​to obtain a concentration correlation table. The table is searched in order, and when a change in the occlusion parameter x is found, the corresponding dust concentration value is marked as the dust concentration critical value.

[0084] Several material handling experiments were conducted, and the cumulative weight of materials fed in each experiment and the blocking signals emitted by the through-beam sensor unit were recorded.

[0085] Arrange them in descending order, record the occlusion parameter x according to the receiver's beam reception, draw a weight correlation table based on the occlusion parameter x and the cumulative weight of the material, and search according to the order of the weight correlation table. When the occlusion parameter x of the two sets of through-beam sensor units changes successively, mark the corresponding cumulative weight of the material as the critical value of the cumulative weight of the material.

[0086] The single grabbing amount of the grab bucket obtained from several feeding experiments is arranged in order of size to obtain the maximum and minimum grabbing amounts. Based on the maximum and minimum grabbing amounts, the maximum and minimum number of grabbing times are calculated.

[0087] During actual material handling, a dust detector is used to measure the dust concentration in the area above the feeding port. A through-beam sensor unit is used to check the beam propagation status and emit a blocking signal when the beam is blocked. When the dust concentration is below the critical dust concentration value and a blocking signal is received, the number of times the grab bucket feeds material in real time is counted. When the number of times the grab bucket feeds material in real time is lower than the minimum number of times the grab bucket feeds material, it is determined that the feeding port is blocked. When the number of times the grab bucket feeds material in real time is higher than the maximum number of times the grab bucket feeds material, or is between the maximum number of times the grab bucket feeds material and the minimum number of times the grab bucket feeds material, it is determined that the feeding port is full.

[0088] In the above embodiments, the material handling experiment and the feeding experiment can be carried out simultaneously. That is, in the material handling experiment, the feeding experiment is carried out simultaneously each time the grab bucket transports the material to the top of the feeding port.

[0089] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. The scope of protection of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this application within its substance and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. An intelligent gypsum plant inventory detection system, characterized by, Possess: A pair of shot sensing machine group is installed on the outer periphery above the feeding port. The pair of shot sensing machine group judges the height state of the material pile above the feeding port based on the propagation of the light beam, and sends an occlusion signal when the light beam is blocked. A dust detector measures the dust concentration value in the area above the feeding port. An experimental analysis module obtains experimental data from several material conveying experiments, obtains a feeding cumulative weight threshold value, a maximum grab bucket capacity, and a minimum grab bucket capacity from the experimental data of the material conveying experiments, and calculates a grab bucket feeding frequency threshold value. An analog analysis module obtains experimental data from several feeding experiments, constructs a correlation between dust concentration and occlusion signal based on the experimental data of the feeding experiments and the corresponding dust concentration values, and obtains a dust concentration threshold value based on the correlation between dust concentration and occlusion signal. A data processing module receives the occlusion signal when the dust concentration value is below the dust concentration threshold value. The data processing module counts the real-time grab bucket feeding frequency according to the occlusion signal, and determines the size of the real-time grab bucket feeding frequency and the grab bucket feeding frequency threshold value. When the real-time grab bucket feeding frequency is lower than the grab bucket feeding frequency threshold value, it is determined that the feeding port is blocked. When the real-time grab bucket feeding frequency is higher than or within the grab bucket feeding frequency threshold value interval, it is determined that the feeding port is full.

2. The intelligent gypsum warehouse feeding detection system of claim 1, wherein: The pair of shot sensing machine group includes a transmitter and a receiver. The transmitter is opposite to the receiver, and the transmitter and the receiver are arranged as at least two groups. The height positions of the transmitter and the receiver in the same group are consistent, and the height positions of the transmitter and the receiver in different groups are different.

3. The intelligent gypsum warehouse feeding detection system of claim 2, wherein: In each feeding experiment, the dust concentration value in the area above the feeding port and the occlusion signal sent by the pair of shot sensing machine group are obtained. The correlation between dust concentration and occlusion signal is constructed, the dust concentration values are arranged in order of size, and the occlusion parameter x is adjusted according to the condition of the receiver receiving the light beam. Based on the correlation, a concentration correlation table is drawn up, and the table is searched in order. When the occlusion parameter x changes, the corresponding dust concentration value is marked as the dust concentration threshold value.

4. The intelligent gypsum warehouse feeding detection system of claim 3, wherein: When the receiver can receive the light beam, the occlusion parameter x is 1, and when the receiver cannot receive the light beam, the occlusion parameter x is 0.

5. The intelligent gypsum warehouse feeding detection system of claim 4, wherein: Adjust the single grab bucket capacity, and transport the grabbed material through the grab bucket multiple times and into the feeding port to perform one material conveying experiment. During each material conveying process through the grab bucket, the single grab bucket capacity is recorded, and the single grab bucket capacity of each material conveying is added to obtain the feeding cumulative weight of one material conveying experiment.

6. The intelligent gypsum warehouse feeding detection system of claim 5, wherein: In each feeding experiment, record the cumulative weight of the feeding, arrange them in order of size, and record the blocking parameter x according to the situation of the receiver receiving the light beam; Based on the blocking parameter x and the cumulative weight of the feeding, draw a weight correlation table, and retrieve according to the weight correlation table order. When the blocking parameters x corresponding to the two groups of opposite radiation sensing machines change in sequence, mark the corresponding cumulative weight of the feeding as the cumulative weight of the feeding critical value.

7. The intelligent gypsum library feeding detection system of claim 6, wherein After obtaining the experimental data of several feeding experiments, eliminate the experimental data of the feeding experiment when the grid plate at the feeding port is in a blocked state.

8. The intelligent gypsum library feeding detection system of claim 7, wherein Arrange the single grab bucket feeding amount obtained in several feeding experiments in order of size to obtain the maximum grab bucket feeding amount and the minimum grab bucket feeding amount; Substitute the maximum grab bucket feeding amount and the minimum grab bucket feeding amount into the following formula to calculate the grab bucket feeding frequency threshold: In the formula, N min , N max are the bucket feeding frequency threshold values, N max is the maximum bucket feeding frequency, N min is the minimum bucket feeding frequency, M is the feeding cumulative weight threshold value, m max is the maximum bucket feeding amount, and m min is the minimum bucket feeding amount.

9. The intelligent gypsum library feeding detection system of claim 8, wherein Compare the height positions of different opposite radiation sensing machines, define the opposite radiation sensing machine with higher height position as the high-position machine group, and define the opposite radiation sensing machine with lower height position as the low-position machine group; After determining that the feeding port is blocked or full, check the time points corresponding to the changes in the blocking parameters x of the high-position machine group and the low-position machine group; If the time point corresponding to the change in the blocking parameter x of the low-position machine group is earlier than the time point corresponding to the change in the blocking parameter x of the high-position machine group, output the judgment result. If the time point corresponding to the change in the blocking parameter x of the low-position machine group is later than the time point corresponding to the change in the blocking parameter x of the high-position machine group, determine that the opposite radiation sensing machine group is abnormal.

10. The intelligent gypsum library feeding detection system of claim 1, wherein Perform a feeding experiment by pouring the grabbed material into the feeding port in a scattered manner through the opening and closing of the grab bucket; Adjust the opening and closing degree of the grab bucket, and perform several feeding experiments based on different opening and closing degrees of the grab bucket.

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