A calibration method and system for a quality controller for loading and unloading grain at a wharf

Abstract

The present invention belongs to the technical field of control of quality controllers in pneumatic conveying of granular grains, and discloses a calibration method and system for a quality controller for loading and unloading grains at a wharf. The calibration method is applied to a calibration system of a mass flow meter in which bulk grains on a ship are quickly and continuously conveyed to a port warehouse or a transportation vehicle through a pipeline by pneumatic conveying, and comprises obtaining a first control parameter of a pipeline regulating valve of a main conveying pipeline; obtaining a second control parameter of a gas flow control device of the main conveying pipeline; obtaining a first mass measurement value of a first mass flow meter of the main conveying pipeline; and sequentially obtaining a first vibration parameter and a first temperature parameter of grains when they pass through the main conveying pipeline with a timestamp as a mark. The beneficial effect is that the discontinuity and unevenness of grain conveying in the pipeline are adjusted, so that the pneumatic conveying of granular grains meets the measurement needs of the mass flow meter.

Description

Technical Field

[0001] The invention belongs to the technical field of control of a quality controller in pneumatic conveying of granular grains, and in particular relates to a calibration method and system for a quality controller used for loading and unloading grains at a wharf. Background Art

[0002] The application of pneumatic conveying technology in grain terminals includes: Pneumatic conveying technology uses the power of airflow to quickly and continuously transport bulk grain on ships to port warehouses or transportation vehicles. There are two main forms of weighing grain in pneumatic conveying in the existing technology:

[0003] The first is to use the left and right measuring buckets, weighing sensors, weighing instruments, and material flow switching devices to carry out the weighing process;

[0004] The second method is through a mass flow meter. For example, Chinese invention patent CN104555456A discloses an electrical automatic control system for a pneumatic conveying system of wheat, which uses a mass flow meter to weigh the wheat; Chinese invention patent CN104555335A discloses an electrical automatic control system for a pneumatic conveying system of soybeans, which uses a mass flow meter to weigh the soybeans.

[0005] However, on the one hand, in the prior art, since the grains are granular and the weight of each grain is different, the concentration of the grains cannot be kept consistent in the pipeline at all times during pneumatic conveying and fluctuates within a certain range. In the paper "Application of Solid Mass Flowmeter in Dense Phase Pneumatic Conveying" by Guo Yunzhou and Guo Xiaolei, it is pointed out that "the actual concentration cannot be measured below 30 kg·m-³, but in actual application, when it is 50 kg·m⁻³, the flow meter display becomes disordered, the measured concentration value is stable but the reading is too large, and the speed value jumps violently, making it impossible to use normally. The pressure measurement signal here indicates that the conveying is in a stable state. This is because when the material concentration decreases to a certain level, it becomes difficult for the speed sensor to capture the flow signal of the coal powder particles, or even impossible to capture the speed signal." That is to say, only when the grain maintains a stable concentration that meets the requirements in the pneumatic conveying pipeline can it be accurately measured by the mass flow meter.

[0006] On the other hand, since the grain is granular, when it is pneumatically conveyed, the grain particles will have irregular impacts on the pipe wall, causing vibration, resulting in changes in the pipe wall temperature and vibration, further affecting the measurement accuracy of the mass flow meter. Summary of the invention

[0007] In view of the above phenomenon, the goal to be achieved by the present invention is to solve the technical problem in the prior art that, because the grain is granular and the weight of each grain is different, when the bulk grain on the ship is quickly and continuously transported to the port warehouse or transportation vehicle through pneumatic conveying, the concentration cannot be kept consistent at all times in the pipeline and cannot fluctuate within a certain range, resulting in inaccurate measurement of the mass flow meter.

[0008] In order to achieve the above objectives, the present invention provides a control method for a glass sheet shuttle bin.

[0009] The specific technical solution adopted by the present invention is:

[0010] On the one hand, the present invention provides a calibration method for a quality controller for loading and unloading grain at a wharf, the calibration method being applied to a calibration system of a mass flow meter in which bulk grain on a ship is quickly and continuously transported to a port warehouse or a transportation vehicle through a pipeline by pneumatic conveyance, the calibration method comprising:

[0011] Acquire a first control parameter of a pipeline regulating valve of a main delivery pipeline;

[0012] Acquire a second control parameter of a gas flow control device of a main delivery pipeline;

[0013] Obtaining a first mass measurement value of a first mass flow meter of the main delivery pipeline;

[0014] Using the timestamp as a marker, sequentially obtain the first vibration parameter and the first temperature parameter of the grain when it passes through the main conveying pipeline to form a first correction parameter set;

[0015] Build inspection and analysis database;

[0016] Inputting the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter into the inspection and analysis database to obtain the real-time concentration of the grain flowing in the main conveying pipeline;

[0017] According to the real-time concentration of the flowing grain in the main conveying pipeline, the opening of the regulating valve of the main conveying pipeline and the third control parameter of the gas flow control device during the transportation of the main conveying pipeline are adjusted, and the sum of the timestamp and the grain flow time is added as a mark, and the second vibration parameter and the second temperature parameter of the adjusted grain when passing through the pipeline are continuously and sequentially obtained to form a second correction parameter set;

[0018] Make a difference A between the second calibration parameter set and the first calibration parameter set. When the difference A is greater than the specified range B, the grain re-enters the main conveying pipeline through the reflux pipe, merges with the newly absorbed grain, and passes through the first mass flow meter again; when the difference A is less than the specified range B, the grain passes through the second mass flow meter, and the second measurement value of the second mass flow meter is used as the actual mass of the grain passing through.

[0019] Further, the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter are input into the inspection and analysis database to obtain the real-time concentration of the grain flowing in the main conveying pipeline, including:

[0020] The mixture of grain and airflow flowing in the pipeline is segmented based on the timestamp, and the first mass measurement value corresponding to the timestamp is defined as the first segment measurement value. The mixture of grain and airflow in each segment is measured separately to obtain the real-time concentration of the flowing grain in the main conveying pipeline. The actual concentration corresponds to the first segment measurement value one by one, forming a comparison parameter set of the first segment measurement value and the actual concentration.

[0021] Furthermore, according to the real-time concentration of the flowing grain in the main conveying pipeline, the opening of the regulating valve of the main conveying pipeline and the third control parameter of the gas flow control device during the transportation of the main conveying pipeline are adjusted, and the sum of the time of the grain flow added to the timestamp is used as a mark, and the second vibration parameter and the second temperature parameter of the adjusted grain passing through the pipeline are continuously and sequentially obtained to form a second correction parameter set, including:

[0022] Calculate the difference C between the actual concentration in each segment segmented by the timestamp and the first segment measurement value according to the comparison parameter set between the first segment measurement value and the actual concentration;

[0023] According to the difference C, the opening of the regulating valve of the main delivery pipeline is changed, and the third control parameter of the gas flow control device during the main delivery pipeline is used as a marker, and the sum of the time of the grain flow is added to the timestamp, and the difference D between the actual concentration and the first segmented measurement value when the regulated grain passes through the pipeline is continuously obtained in sequence;

[0024] Compare the difference C and the difference D. When the difference D is less than the difference D, continue to adjust the opening of the main delivery pipeline regulating valve and the adjustment value of the third control parameter of the gas flow control device during transportation in the main delivery pipeline; when the difference D is greater than the difference D, continue to adjust the opening of the main delivery pipeline regulating valve and the adjustment value of the third control parameter of the gas flow control device during transportation in the main delivery pipeline in the reverse direction.

[0025] Furthermore, the opening of the regulating valve of the main delivery pipeline is changed according to the difference C, and the third control parameter of the gas flow control device during the delivery of the main delivery pipeline includes:

[0026] Construct feedback control compensation regulation model;

[0027] Retrieve the historical control parameters closest to the difference C from the historical database of the system, use the historical control parameters as the initial adjustment parameters, change the opening of the regulating valve of the main delivery pipeline, and the gas flow parameters in the gas flow control device during the transportation of the main delivery pipeline, wherein the gas flow parameters include flow rate and passing time;

[0028] After changing the opening of the regulating valve of the rear main delivery pipeline and the gas flow parameters in the gas flow control device during transportation in the main delivery pipeline, the real-time concentration, the second vibration parameter and the second temperature parameter of the first segment to the N+1 segment of the segment are measured, and the measurement results are input into the feedback control compensation adjustment model; through the feedback control compensation adjustment model training, after comparing the real-time concentration, the second vibration parameter and the second temperature parameter of the first segment and the Nth segment slices, the opening of the segmented main delivery pipeline regulating valve of the N+1th slice and the adjustment parameters of the gas flow control device during transportation in the main delivery pipeline are output.

[0029] In another aspect, the present invention provides a control system using a calibration method for a quality controller for loading and unloading grain at a terminal, the control system comprising:

[0030] A data collector is used to obtain a first control parameter of a pipeline regulating valve of a main delivery pipeline; obtain a second control parameter of a gas flow control device of the main delivery pipeline; obtain a first mass measurement value of a first mass flow meter of the main delivery pipeline; and send the value to a data processing module;

[0031] A data processing module is used to construct an inspection and analysis database; construct a feedback control compensation adjustment model; analyze and process the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter; analyze and process the second vibration parameter and the second temperature parameter; analyze and process the first correction parameter set, the second correction parameter set and the real-time concentration of the flowing grain in the main conveying pipeline;

[0032] The instruction executor is a command executor. The data processing module receives the execution instruction issued by the instruction executor and transmits the execution instruction to each execution module. The execution instruction includes adjusting the opening of the regulating valve of the main delivery pipeline, the third control parameter of the gas flow control device during the transportation of the main delivery pipeline, adjusting the opening of the regulating valve of the return pipeline, and adjusting the fourth control parameter of the gas flow control device during the transportation of the return pipeline;

[0033] The historical database is used to record the corresponding adjustment parameters in the control process for subsequent adjustment program calls.

[0034] The positive effects of the present invention are:

[0035] 1. The control method provided in the present application obtains the real-time concentration of grain flowing in the main conveying pipeline through the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter. According to the real-time concentration of grain flowing in the main conveying pipeline, the opening of the regulating valve of the main conveying pipeline and the third control parameter of the gas flow control device during the transportation of the main conveying pipeline are adjusted, and the sum of the time of grain flow added to the timestamp is used as a mark, and the second vibration parameter and the second temperature parameter of the adjusted grain passing through the pipeline are continuously and sequentially obtained, the discontinuity of grain transportation in the pipeline is adjusted, and the unevenness of grain in the pipeline is adjusted, so that the pneumatic transportation of granular grain meets the measurement needs of the mass flow meter, and through feedback control, accurate measurement is provided for the automatic loading and unloading of grain at the terminal, which changes the huge structure of weighing through multiple measuring buckets in the prior art, so that the whole system of grain is pneumatically transported in the pipeline to solve the measurement and loading and unloading problems;

[0036] 2. The present application provides a control system that uses a calibration method for a quality controller for loading and unloading grain at a terminal. The first control parameter of the pipeline regulating valve of the main conveying pipeline is obtained through a data collector; the second control parameter of the gas flow control device of the main conveying pipeline is obtained; the first mass measurement value of the first mass flow meter of the main conveying pipeline is obtained; and the control parameter is sent to a data processing module for analysis and processing, and then an adjustment control instruction is issued, including adjusting the opening of the main conveying pipeline regulating valve, the third control parameter of the gas flow control device during transportation in the main conveying pipeline, adjusting the opening of the return pipeline regulating valve, and adjusting the fourth control parameter of the gas flow control device during transportation in the return pipeline. The control of the gas flow during transportation in the main conveying pipeline and the opening of the return pipeline regulating valve are realized, and the unevenness of the pipeline grain is adjusted by adjusting the opening of the main pipeline valve and the gas flow during transportation in the main conveying pipeline, as well as the opening of the return pipeline regulating valve and the gas flow during transportation in the return pipeline, so that the pneumatic transportation of the granular grain meets the measurement needs of the mass flow meter and the loading and unloading of the grain is realized at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flow chart of a calibration method of a quality controller for loading and unloading grain at a wharf based on the present invention;

[0038] Figure 2 The present invention is a calibration method for a quality controller for loading and unloading grain at a wharf, wherein the opening of a regulating valve of the main conveying pipeline and a third control parameter of a gas flow control device during transportation in the main conveying pipeline are adjusted according to the real-time concentration of the flowing grain in the main conveying pipeline, and the sum of the grain flow time added to the timestamp is used as a mark, and the second vibration parameter and the second temperature parameter of the adjusted grain when passing through the pipeline are continuously and sequentially obtained to form a flow chart of a second calibration parameter set;

[0039] Figure 3It is a flow chart of the third control parameter of the gas flow control device during transportation of the main delivery pipeline, in a calibration method of a quality controller for loading and unloading grain at a wharf of the present invention, in which the opening of the regulating valve of the main delivery pipeline is changed according to the difference C;

[0040] Figure 4 It is a control system composition diagram of a calibration method of a quality controller for loading and unloading grain at a wharf according to the present invention; DETAILED DESCRIPTION

[0041] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following is a detailed description of a control method for a glass sheet shuttle bin proposed in accordance with the present invention, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and embodiments.

[0042] In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0043] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0044] The acquisition, storage, use, and processing of data in the technical solution of the present invention are in compliance with the relevant provisions of national laws and regulations.

[0045] The present application is applicable to the correction and adjustment of the measurement of the quality controller in the pneumatic conveying of granular grains. In order to solve the existing control system, the operator needs to check the material situation of the shuttle bin, manually arrange the materials on the cutting machine, draw the cutting paths of multiple slices, and there is a technical problem of unreasonable matching between the original slice selection and the target slice arrangement and cutting control. The data processing module in the embodiment of the present invention receives various information obtained by the data collector, constructs a cutting control model for the target slice, and sends an execution instruction to the instruction executor to obtain the original glass slice, and controls the tool to cut the original glass slice according to the cutting control model. During the cutting process, the tool information is fed back to the data processing module to form a compensation The sub-model compensates the difference between the actual tool path of the glass cutting machine in cutting glass and the simulated tool path in the cutting control model through the third control instruction until the target slice is cut, thereby realizing the joint coordinated control of the shuttle warehouse and the cutting machine, becoming a whole, and changing the technical problem of the existing technology that the shuttle warehouse and the cutting machine are controlled separately. At the same time, the automatic control and compensation of glass cutting are realized through the cutting control model, reducing the artificial processing loss of glass cutting raw materials, improving the yield of target glass slices, realizing reasonable typesetting and making full use of existing glass raw sheets to achieve the technical effect of saving glass, realizing the automatic classification of glass slices, and providing technical conditions for the subsequent automated storage management of glass slices.

[0046] The specific scheme of the on-site arrangement control method for feeding high-yield glass production machine tool provided by the present invention is described in detail below with reference to the accompanying drawings.

[0047] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments:

[0048] Embodiment 1:

[0049] A calibration method for a quality controller for loading and unloading grain at a wharf, the calibration method being applied to a calibration system of a mass flow meter in which bulk grain on a ship is quickly and continuously transported to a port warehouse or a transportation vehicle by pneumatic conveyance through a pipeline, the calibration method comprising:

[0050] S100: Acquire a first control parameter of a pipeline regulating valve of a main delivery pipeline;

[0051] The pipeline regulating valve refers to the valve through which millet and corn pass when they are sucked from the cargo hold of a ship during pneumatic transportation and enter the pneumatic transportation pipeline.

[0052] S200: Obtaining a second control parameter of the gas flow control device of the main delivery pipeline; the gas flow control device refers to a device installed in the main delivery pipeline and the return pipeline to provide airflow for pneumatic delivery and capable of regulating the airflow.

[0053] S300: Acquire a first mass measurement value of a first mass flow meter of a main delivery pipeline;

[0054] S400: using the timestamp as a marker, sequentially acquiring a first vibration parameter and a first temperature parameter when the grain passes through the main conveying pipeline to form a first correction parameter set;

[0055] S500: constructing an inspection and analysis database;

[0056] S600: inputting the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter into the inspection and analysis database to obtain the real-time concentration of the grain flowing in the main conveying pipeline;

[0057] The first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter are input into the inspection and analysis database to obtain the real-time concentration of the grain flowing in the main conveying pipeline, including:

[0058] The mixture of grain and airflow flowing in the pipeline is segmented based on the timestamp, and the first mass measurement value corresponding to the timestamp is defined as the first segment measurement value. The mixture of grain and airflow in each segment is measured separately to obtain the real-time concentration of the flowing grain in the main conveying pipeline. The actual concentration corresponds to the first segment measurement value one by one, forming a comparison parameter set of the first segment measurement value and the actual concentration.

[0059] As for the means and method for obtaining the actual concentration, the present invention is based on the technical solution and technical means disclosed in Chinese invention patent CN101548179A.

[0060] For the measurement of the first vibration parameter and the first temperature parameter, the present invention adopts a plurality of vibration sensors and temperature sensors equidistantly arranged between the first mass flowmeter and the second mass flowmeter for measurement. The arrangement spacing of the vibration sensors and the temperature sensors is related to the subsequent segment duration based on the timestamp, that is, the distance of grain flow. The smaller the distance, the more the first vibration parameter and the first temperature parameter are. For adjusting the opening of the regulating valve of the main conveying pipeline, the higher the adjustment frequency of the third control parameter of the gas flow control device during transportation in the main conveying pipeline, the higher the adjustment accuracy.

[0061] S700: According to the real-time concentration of the flowing grain in the main conveying pipeline, the opening of the regulating valve of the main conveying pipeline and the third control parameter of the gas flow control device during the conveying of the main conveying pipeline are adjusted, and the sum of the timestamp and the grain flow time is added as a mark, and the adjusted second vibration parameter and second temperature parameter of the grain passing through the pipeline are continuously and sequentially obtained to form a second correction parameter set;

[0062] According to the real-time concentration of the flowing grain in the main conveying pipeline, the opening of the regulating valve of the main conveying pipeline is adjusted, and the third control parameter of the gas flow control device during the transportation of the main conveying pipeline is adjusted. The sum of the time of the grain flow added to the timestamp is used as a mark, and the second vibration parameter and the second temperature parameter of the adjusted grain passing through the pipeline are continuously and sequentially obtained to form a second correction parameter set, including:

[0063] S710: Calculate the difference C between the actual concentration in each segment segmented by the timestamp and the first segment measurement value according to the comparison parameter set between the first segment measurement value and the actual concentration;

[0064] S720: according to the difference C, the opening of the main pipeline regulating valve is changed, the third control parameter of the gas flow control device during the main pipeline is transported, and the sum of the timestamp and the grain flow time is marked, and the actual concentration of the adjusted grain passing through the pipeline is continuously obtained in sequence, and the difference D between the actual concentration and the first segmented measurement value is obtained;

[0065] S730: Compare the difference C and the difference D. When the difference D is less than the difference D, continue to adjust the current change in the opening of the main delivery pipeline regulating valve and the adjustment value of the third control parameter of the gas flow control device during transportation in the main delivery pipeline; when the difference D is greater than the difference D, continue to adjust the current change in the opening of the main delivery pipeline regulating valve and the adjustment value of the third control parameter of the gas flow control device during transportation in the main delivery pipeline in the reverse direction.

[0066] The opening of the regulating valve of the main delivery pipeline is changed according to the difference C. The third control parameter of the gas flow control device during the delivery of the main delivery pipeline includes:

[0067] S731: Constructing a feedback control compensation adjustment model;

[0068] The feedback control compensation adjustment model is a pre-trained algorithm analysis model and is encapsulated in the data processing module for use.

[0069] S732: Retrieve the historical control parameters closest to the difference C from the historical database of the system, use the historical control parameters as the initial adjustment parameters, change the opening of the regulating valve of the main delivery pipeline, and the gas flow parameters in the gas flow control device during the transportation of the main delivery pipeline, wherein the gas flow parameters include flow velocity and passing time;

[0070] S733: After changing the opening of the regulating valve of the rear main delivery pipeline and the gas flow parameters in the gas flow control device during transportation in the main delivery pipeline, measure the real-time concentration, the second vibration parameter and the second temperature parameter of the first segment to the N+1 segment of the segment, and input the measurement results into the feedback control compensation adjustment model; through the feedback control compensation adjustment model training, after comparing the real-time concentration, the second vibration parameter and the second temperature parameter of the first segment and the Nth segment slice, output the opening of the segmented main delivery pipeline regulating valve of the N+1th slice and the adjustment parameters of the gas flow control device during transportation in the main delivery pipeline.

[0071] S800: Make a difference A between the second calibration parameter set and the first calibration parameter set. When the difference A is greater than the specified range B, the grain re-enters the main conveying pipeline through the reflux pipe, merges with the newly absorbed grain, and passes through the first mass flow meter again; when the difference A is less than the specified range B, the grain passes through the second mass flow meter, and the second measurement value of the second mass flow meter is used as the actual mass of the grain passing through.

[0072] It should be noted that the valve opening of the return pipe entering the main delivery pipe and the gas flow control device in the return pipe also operate under the adjustment of the difference A to ensure the stable flow and density of the grain and gas mixture in the main delivery pipe meet the measurement requirements.

[0073] Embodiment 2:

[0074] A control system using a calibration method for a quality controller for loading and unloading grain at a wharf, characterized in that the control system comprises:

[0075] A data collector is used to obtain a first control parameter of a pipeline regulating valve of a main delivery pipeline; obtain a second control parameter of a gas flow control device of the main delivery pipeline; obtain a first mass measurement value of a first mass flow meter of the main delivery pipeline; and send the value to a data processing module;

[0076] A data processing module is used to construct an inspection and analysis database; construct a feedback control compensation adjustment model; analyze and process the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter; analyze and process the second vibration parameter and the second temperature parameter; analyze and process the first correction parameter set, the second correction parameter set and the real-time concentration of the flowing grain in the main conveying pipeline;

[0077] The instruction executor is a command executor. The data processing module receives the execution instruction issued by the instruction executor and transmits the execution instruction to each execution module. The execution instruction includes adjusting the opening of the regulating valve of the main delivery pipeline, the third control parameter of the gas flow control device during the transportation of the main delivery pipeline, adjusting the opening of the regulating valve of the return pipeline, and adjusting the fourth control parameter of the gas flow control device during the transportation of the return pipeline;

[0078] The historical database is used to record the corresponding adjustment parameters in the control process for subsequent adjustment program calls.

[0079] Specifically, Figure 4 As shown, the data collector includes:

[0080] A first collector, used for acquiring a first control parameter from a pipeline regulating valve of a main delivery pipeline;

[0081] A second collector, used to obtain a second control parameter from a gas flow control device of the main delivery pipeline;

[0082] A third collector, used to obtain a first vibration parameter from a vibration sensor of the main conveying pipeline;

[0083] A fourth collector, used to obtain a first temperature parameter from a temperature sensor of the main delivery pipeline;

[0084] After the above parameters are collected, they are sent to the inspection and analysis database of the data processing module. Under the analysis of the inspection and analysis module and the feedback control compensation adjustment model of the data processing module, the execution instructions are output. The execution instructions include adjusting the opening of the regulating valve of the main delivery pipeline, the third control parameter of the gas flow control device during the transportation of the main delivery pipeline, adjusting the opening of the regulating valve of the return pipeline, and adjusting the fourth control parameter of the gas flow control device during the transportation of the return pipeline. The corresponding execution device is controlled by the instruction executor to make adjustments;

[0085] The analysis results of the inspection and analysis module of the data processing module and the feedback control compensation adjustment model are also stored in the historical database for subsequent adjustment program calls.

[0086] The foregoing has broadly outlined some aspects and features of various embodiments, which should be construed as merely illustrative of various potential applications. Other beneficial results may be obtained by applying the disclosed information in different ways or by combining various aspects of the disclosed embodiments. Other aspects and a more comprehensive understanding may be obtained by reference to the detailed description of the exemplary embodiments in conjunction with the accompanying drawings, within the scope defined by the claims.

[0087] The above embodiments have been described in detail. Of course, the above description is not intended to limit the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions, reductions, and substitutions made by relevant technicians within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. A calibration method for a quality controller for loading and unloading grain at a wharf, characterized in that: The calibration method is applied to a calibration system of a mass flow meter in which bulk grain on a ship is quickly and continuously transported to a port warehouse or a transportation vehicle through a pipeline by pneumatic conveyance, and the calibration method comprises: Acquire a first control parameter of a pipeline regulating valve of a main delivery pipeline; Acquire a second control parameter of a gas flow control device of a main delivery pipeline; Obtaining a first mass measurement value of a first mass flow meter of the main delivery pipeline; Using the timestamp as a marker, sequentially obtain the first vibration parameter and the first temperature parameter of the grain when it passes through the main conveying pipeline to form a first correction parameter set; Build inspection and analysis database; Inputting the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter into the inspection and analysis database to obtain the real-time concentration of the grain flowing in the main conveying pipeline; According to the real-time concentration of the flowing grain in the main conveying pipeline, the opening of the regulating valve of the main conveying pipeline and the third control parameter of the gas flow control device during the transportation of the main conveying pipeline are adjusted, and the sum of the timestamp and the grain flow time is added as a mark, and the second vibration parameter and the second temperature parameter of the adjusted grain when passing through the pipeline are continuously and sequentially obtained to form a second correction parameter set; Make a difference A between the second calibration parameter set and the first calibration parameter set. When the difference A is greater than the specified range B, the grain re-enters the main conveying pipeline through the reflux pipe, merges with the newly absorbed grain, and passes through the first mass flow meter again; when the difference A is less than the specified range B, the grain passes through the second mass flow meter, and the second measurement value of the second mass flow meter is used as the actual mass of the grain passing through.

2. A calibration method for a quality controller for loading and unloading grain at a wharf according to claim 1, characterized in that: Inputting the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter into the inspection and analysis database to obtain the real-time concentration of the grain flowing in the main conveying pipeline, including: The mixture of grain and airflow flowing in the pipeline is segmented based on the timestamp, and the first mass measurement value corresponding to the timestamp is defined as the first segment measurement value. The mixture of grain and airflow in each segment is measured separately to obtain the real-time concentration of the flowing grain in the main conveying pipeline. The actual concentration corresponds to the first segment measurement value one by one, forming a comparison parameter set of the first segment measurement value and the actual concentration.

3. A calibration method for a quality controller for loading and unloading grain at a wharf according to claim 2, characterized in that: According to the real-time concentration of the flowing grain in the main conveying pipeline, the opening of the regulating valve of the main conveying pipeline and the third control parameter of the gas flow control device during the transportation of the main conveying pipeline are adjusted, and the sum of the time of the grain flow added to the timestamp is used as a mark, and the second vibration parameter and the second temperature parameter of the adjusted grain passing through the pipeline are continuously and sequentially obtained to form a second correction parameter set, including: Calculate the difference C between the actual concentration in each segment segmented by the timestamp and the first segment measurement value according to the comparison parameter set between the first segment measurement value and the actual concentration; According to the difference C, the opening of the regulating valve of the main delivery pipeline is changed, and the third control parameter of the gas flow control device during the transportation of the main delivery pipeline is changed, and the sum of the time of the grain flow added to the timestamp is used as a mark, and the difference D between the actual concentration of the adjusted grain and the first segmented measurement value when passing through the pipeline is continuously obtained in sequence; Compare the difference C and the difference D. When the difference D is less than the difference D, continue to adjust the opening of the main delivery pipeline regulating valve and the adjustment value of the third control parameter of the gas flow control device during transportation in the main delivery pipeline; when the difference D is greater than the difference D, continue to adjust the opening of the main delivery pipeline regulating valve and the adjustment value of the third control parameter of the gas flow control device during transportation in the main delivery pipeline in the reverse direction.

4. A calibration method for a quality controller for loading and unloading grain at a wharf according to claim 3, characterized in that: The opening of the regulating valve of the main delivery pipeline is changed according to the difference C. The third control parameter of the gas flow control device during the delivery of the main delivery pipeline includes: Construct feedback control compensation regulation model; Retrieve the historical control parameters closest to the difference C from the historical database of the system, use the historical control parameters as the initial adjustment parameters, change the opening of the regulating valve of the main delivery pipeline, and the gas flow parameters in the gas flow control device during the transportation of the main delivery pipeline, wherein the gas flow parameters include flow rate and passing time; After changing the opening of the regulating valve of the rear main delivery pipeline and the gas flow parameters in the gas flow control device during transportation in the main delivery pipeline, the real-time concentration, the second vibration parameter and the second temperature parameter of the first segment to the N+1 segment of the segment are measured, and the measurement results are input into the feedback control compensation adjustment model; through the feedback control compensation adjustment model training, after comparing the real-time concentration, the second vibration parameter and the second temperature parameter of the first segment and the Nth segment slices, the opening of the segmented main delivery pipeline regulating valve of the N+1th slice and the adjustment parameters of the gas flow control device during transportation in the main delivery pipeline are output.

5. A control system using a calibration method for a quality controller for loading and unloading grain at a wharf, characterized in that: The control system is used to implement a calibration method for a quality controller for loading and unloading grain at a terminal according to any one of claims 1 to 4, and the control system comprises: A data collector is used to obtain a first control parameter of a pipeline regulating valve of a main delivery pipeline; obtain a second control parameter of a gas flow control device of the main delivery pipeline; obtain a first mass measurement value of a first mass flow meter of the main delivery pipeline; and send the value to a data processing module; A data processing module is used to construct an inspection and analysis database; construct a feedback control compensation adjustment model; analyze and process the first control parameter, the second control parameter, the first mass measurement value, the first vibration parameter and the first temperature parameter; analyze and process the second vibration parameter and the second temperature parameter; analyze and process the first correction parameter set, the second correction parameter set and the real-time concentration of the flowing grain in the main conveying pipeline; The instruction executor is a command executor. The data processing module receives the execution instruction issued by the instruction executor and transmits the execution instruction to each execution module. The execution instruction includes adjusting the opening of the regulating valve of the main delivery pipeline, the third control parameter of the gas flow control device during the transportation of the main delivery pipeline, adjusting the opening of the regulating valve of the return pipeline, and adjusting the fourth control parameter of the gas flow control device during the transportation of the return pipeline; The historical database is used to record the corresponding adjustment parameters in the control process for subsequent adjustment program calls.

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