Liquid storage tank raw material long-distance conveying and accurate batching control device
By designing a long-distance delivery of liquid storage tank raw materials, and using an intelligent control system to optimize and compensate the batching process, the problems of large errors and low efficiency in long-distance delivery of liquid raw materials are solved, and precise preparation and stability are improved.
Patent Information
- Application Number
- CN202510722658.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-30
- Publication Date
- 2025-07-18
AI Technical Summary
In the prior art, there are problems of large errors and low efficiency in the long-distance transportation of liquid raw materials, which cannot meet the high requirements for accuracy and efficiency of modern industrial production.
A liquid storage tank raw material delivery precision batching control device is designed, including storage tanks, outlet pipes, metering tanks and connecting pipes. Through an intelligent control system, a variety of data are collected and analyzed, the opening value of the pneumatic regulating valve is automatically adjusted, and the batching process is optimized and compensated for the batching process to ensure that the raw material weight in the metering tank reaches the preset value.
It improves the accuracy and efficiency of ingredients, reduces the complexity and error rate of manual operation, and realizes accurate ingredients for long-distance transportation of raw materials in liquid storage tanks, ensuring the stability and accuracy of the ingredients process.
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Figure CN120332667A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of raw material transportation, and more particularly, to a precise batching control device for long-distance transportation of raw materials in a liquid storage tank. Background Art
[0002] In modern industrial production, the transportation and batching of liquid raw materials are crucial links. Especially during long-distance transportation, how to ensure the precise batching of raw materials has become an urgent problem to be solved. Traditional transportation and batching methods often have problems such as large errors and low efficiency, and cannot meet the high requirements for precision and efficiency in modern industrial production.
[0003] Therefore, it is necessary to design a precise batching control device for long-distance transportation of raw materials in a liquid storage tank to solve the problems existing in the current technology. Summary of the Invention
[0004] In view of this, the present invention provides a precise batching control device for long-distance transportation of raw materials in a liquid storage tank, aiming to solve the problems that traditional transportation and batching methods in the current technology often have large errors and low efficiency, and cannot meet the high requirements for precision and efficiency in modern industrial production.
[0005] The present invention provides a precise batching control device for long-distance transportation of raw materials in a liquid storage tank, comprising:
[0006] A storage tank, an outlet pipeline, a metering tank, and a connecting pipeline; both ends of the outlet pipeline are respectively connected to the storage tank and the metering tank; along the flow direction of the raw materials on the outlet pipeline, a first manual ball valve, a second manual ball valve, a basket filter, a canned motor pump, a pressure gauge, a check valve, a first pneumatic ball valve, a third manual ball valve, a pulsation damper, and a second pneumatic ball valve are sequentially installed;
[0007] A third pneumatic ball valve and a fourth pneumatic ball valve are further installed on the top head of the metering tank;
[0008] A fourth manual ball valve is further provided between the basket filter and the canned motor pump;
[0009] A fifth manual ball valve is provided between the check valve and the first pneumatic ball valve;
[0010] The first end of the connecting pipeline is connected to the feed port at the top of the storage tank, an air-operated regulating valve is provided on the connecting pipeline, the second end of the connecting pipeline is connected to the outlet pipeline, and the connection point between the connecting pipeline and the outlet pipeline is located between the first pneumatic ball valve and the third manual ball valve;
[0011] A control unit, which is respectively connected to the storage tank, the canned motor pump, the air-operated regulating valve, and the metering tank, and is used to control the transportation of raw materials.
[0012] Further, the control unit includes an initial value determination module, a judgment optimization module, and a judgment compensation module; wherein,
[0013] The initial value determination module is configured to collect the weight data of the raw material to be transported in the metering tank, and determine the initial opening value of the pneumatic control valve according to the weight data;
[0014] The judgment optimization module is configured to collect the operating state data of the canned motor pump, analyze the operating state data, and judge whether to optimize the initial opening value based on the analysis result; if so, collect the liquid level deviation value inside the metering tank, determine the optimization coefficient of the initial opening value according to the liquid level deviation value, and obtain the optimized opening value;
[0015] The judgment compensation module is configured to collect the weight change rate inside the metering tank, and judge whether to compensate the optimized opening value according to the weight change rate; if so, collect the real-time pressure data and material characteristic data in the outlet pipeline, determine the transportation influence value according to the real-time pressure data and material characteristic data, determine the compensation coefficient of the optimized opening value according to the transportation influence value, and obtain the compensated opening value.
[0016] Further, when the initial value determination module determines the initial opening value of the pneumatic control valve according to the weight data, it includes:
[0017] Analyze the weight data to obtain the feeding weight inside the metering tank;
[0018] When the feeding weight is the first weight set value, determine the initial opening value of the pneumatic control valve as the first opening value;
[0019] When the feeding weight is the second weight set value, determine the initial opening value of the pneumatic control valve as the second opening value;
[0020] When the feeding weight is the third weight set value, determine the initial opening value of the pneumatic control valve as the third opening value.
[0021] Further, when the judgment optimization module analyzes the operating state data and judges whether to optimize the initial opening value based on the analysis result, it includes:
[0022] Analyze the operating state data to obtain the real-time operating power and operating time of the canned motor pump;
[0023] Respectively obtain the operating power standard value corresponding to the real-time operating power, and the operating time standard value corresponding to the operating time;
[0024] Calculate the equipment operation deviation value based on the real-time operation power, the standard value of the operation power, the operation time, and the standard value of the operation time;
[0025] Judge whether to optimize the initial opening value according to the equipment operation deviation value.
[0026] Further, when the judgment and optimization module judges whether to optimize the initial opening value according to the equipment operation deviation value, it includes:
[0027] Compare the equipment operation deviation value with the equipment operation deviation threshold, and judge whether to optimize the initial opening value according to the comparison result;
[0028] If the equipment operation deviation value is greater than the equipment operation deviation threshold, it is determined to optimize the initial opening value;
[0029] Otherwise, it is determined not to optimize the initial opening value.
[0030] Further, when the judgment and optimization module determines the optimization coefficient of the initial opening value according to the liquid level deviation value and obtains the optimized opening value, it includes:
[0031] Compare the liquid level deviation value with the first liquid level deviation value and the second liquid level deviation value, and determine the optimization coefficient of the initial opening value according to the comparison result; wherein, the first liquid level deviation value is less than the second liquid level deviation value;
[0032] Set an optimization coefficient interval, where the optimization coefficient interval includes a first optimization coefficient, a second optimization coefficient, and a third optimization coefficient;
[0033] When the liquid level deviation value is less than or equal to the first liquid level deviation value, determine the optimization coefficient as the first optimization coefficient, and use the product value of the first optimization coefficient and the initial opening value as the optimized opening value;
[0034] When the liquid level deviation value is greater than the first liquid level deviation value and less than or equal to the second liquid level deviation value, determine the optimization coefficient as the second optimization coefficient, and use the product value of the second optimization coefficient and the initial opening value as the optimized opening value;
[0035] When the liquid level deviation value is greater than the second liquid level deviation value, determine the optimization coefficient as the third optimization coefficient, and use the product value of the third optimization coefficient and the initial opening value as the optimized opening value.
[0036] Further, when the judgment and compensation module judges whether to compensate the optimized opening value according to the weight change rate, it includes:
[0037] Compare the weight change rate with a weight change rate threshold, and determine whether to compensate the optimized opening value according to the comparison result;
[0038] If the weight change rate is outside the weight change rate threshold, it is determined to compensate the optimized opening value;
[0039] Otherwise, it is determined not to compensate the optimized opening value.
[0040] Further, when the judgment compensation module determines the conveying influence value according to the real-time pressure data and the material characteristic data, it includes:
[0041] Extract features from the real-time pressure data and the material characteristic data respectively to obtain a pressure feature value and a material feature value;
[0042] Use the pressure feature value and the material feature value as a feature set;
[0043] Compare the feature set with historical data, and determine the conveying influence value according to the comparison result.
[0044] Further, when the judgment compensation module compares the feature set with historical data and determines the conveying influence value according to the comparison result, it includes:
[0045] When there is a historical feature set in the historical data that is the same as the feature set, use the historical conveying influence value corresponding to the historical feature set as the conveying influence value;
[0046] When there is no historical feature set in the historical data that is the same as the feature set, calculate the conveying influence value by using the weighted average method according to the similarity between the historical data and the feature set.
[0047] Further, when the judgment compensation module determines the compensation coefficient of the optimized opening value according to the conveying influence value and obtains the compensated opening value, it includes:
[0048] Compare the conveying influence value with a first conveying influence value and a second conveying influence value, and determine the optimization coefficient of the optimized opening value according to the comparison result; wherein, the first conveying influence value is less than the second conveying influence value;
[0049] Set a compensation coefficient interval, where the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient;
[0050] When the conveying influence value is less than or equal to the first conveying influence value, determine the compensation coefficient as the first compensation coefficient, and use the product value of the first compensation coefficient and the optimized opening value as the compensated opening value;
[0051] When the conveying influence value is greater than the first conveying influence value and less than or equal to the second conveying influence value, determine the compensation coefficient as the second compensation coefficient, and use the product value of the second compensation coefficient and the optimized opening value as the compensation opening value;
[0052] When the conveying influence value is greater than the second conveying influence value, determine the compensation coefficient as the third compensation coefficient, and use the product value of the third compensation coefficient and the optimized opening value as the compensation opening value.
[0053] Compared with the prior art, the beneficial effects of the present invention are as follows: The precise batching control device for long-distance conveying of liquid storage tank raw materials provided by the present invention realizes precise batching for long-distance conveying of liquid storage tank raw materials through intelligent control. This device not only improves the accuracy and efficiency of batching, but also reduces the complexity and error rate of manual operation. In practical applications, the device can automatically adjust the opening value of the pneumatic control valve according to different batching requirements, so as to ensure that the weight of the raw materials in the metering tank reaches the preset value. At the same time, by real-time monitoring data such as the operating state of the canned motor pump, the liquid level deviation inside the metering tank, and the real-time pressure in the outlet pipeline, the device can also optimize and compensate the batching process, further improving the accuracy and stability of batching. BRIEF DESCRIPTION OF THE DRAWINGS
[0054] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:
[0055] Figure 1 is a schematic structural diagram of the precise batching control device for long-distance conveying of liquid storage tank raw materials provided by an embodiment of the present invention;
[0056] Figure 2 is a structural block diagram of the control part of the precise batching control device for long-distance conveying of liquid storage tank raw materials provided by an embodiment of the present invention.
[0057] In the figure: 100, storage tank; 200, outlet pipeline; 210, first manual ball valve; 220, second manual ball valve; 230, basket strainer; 240, canned motor pump; 250, pressure gauge; 260, check valve; 270, first pneumatic ball valve; 280, third manual ball valve; 290, pulsation damper; 300, metering tank; 310, second pneumatic ball valve; 320, third pneumatic ball valve; 330, fourth pneumatic ball valve; 400, fourth manual ball valve; 500, pneumatic control valve; 600, connecting pipeline; 700, control unit; 710, initial value determination module; 720, judgment and optimization module; 730, judgment and compensation module; 800, fifth manual ball valve. Detailed implementation manners
[0058] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.
[0059] Refer to Figure 1-2 As shown, in some embodiments of the present application, this embodiment provides a precise batching control device for long-distance transportation of raw materials in a liquid storage tank 100, including:
[0060] A storage tank 100, an outlet pipeline 200, a metering tank 300, and a connecting pipeline 600; both ends of the outlet pipeline 200 are respectively connected to the storage tank 100 and the metering tank 300; along the flow direction of the raw materials on the outlet pipeline 200, a first manual ball valve 210, a second manual ball valve 220, a basket strainer 230, a canned motor pump 240, a pressure gauge 250, a check valve 260, a first pneumatic ball valve 270, a third manual ball valve 280, a pulsation damper 290, and a second pneumatic ball valve 310 are sequentially installed;
[0061] On the top head of the metering tank 300, a third pneumatic ball valve 320 and a fourth pneumatic ball valve 330 are further installed;
[0062] A fourth manual ball valve 400 is further provided between the basket strainer 230 and the canned motor pump 240;
[0063] A fifth manual ball valve 800 is provided between the check valve 260 and the first pneumatic ball valve 270;
[0064] The first end of the connecting pipe 600 is connected to the feed inlet at the top of the storage tank 100. A pneumatic control valve 500 is provided on the connecting pipe 600. The second end of the connecting pipe 600 is connected to the outlet pipe 200, and the connection point between the connecting pipe 600 and the outlet pipe 200 is located between the first pneumatic ball valve 270 and the third manual ball valve 280.
[0065] The control unit 700 is respectively connected to the storage tank 100, the canned motor pump 240, the pneumatic control valve 500 and the metering tank 300, and is used to control the transportation of raw materials.
[0066] In this embodiment, when batching, the first manual ball valve 210, the second manual ball valve 220 and the third manual ball valve 280 at the rear end of the storage tank 100 are kept in the normally open state, the fourth manual ball valve 400 and the fifth manual ball valve 800 are kept in the normally closed state, the first pneumatic ball valve 270, the second pneumatic ball valve 310 and the fourth pneumatic ball valve 330 are automatically opened, the third is kept closed, the canned motor pump 240 is automatically started to transport raw materials to the metering tank 300, and the pneumatic control valve 500 is in the closed state. The pneumatic control valve 500 is set with 3 opening values, corresponding to three weight setting values of the feeding weight of the metering tank 300, to ensure the feeding accuracy. When the feeding weight of the metering tank 300 is the first weight setting value, the pneumatic control valve 500 is opened to the first opening value. When the feeding weight of the metering tank 300 is the second weight setting value, the pneumatic control valve 500 is opened to the second opening value. When the feeding weight of the metering tank 300 is the third weight setting value, the pneumatic control valve 500 is opened to the third opening value. When the feeding amount reaches the set advance amount value, the canned motor pump 240 automatically stops. After a delay to the set time, the second pneumatic ball valve 310 automatically closes. The main function of the pulsation damper 290 is to ensure the water hammer effect caused by the closing of the second pneumatic ball valve 310, prevent damage to the valve, and at the same time ensure to avoid the vibration of the metering tank 300, resulting in inaccurate batching accuracy.
[0067] It can be understood that the precise batching control device for long-distance transportation of raw materials of the liquid storage tank 100 provided in this embodiment realizes precise batching of long-distance transportation of raw materials of the liquid storage tank 100 through intelligent control. This device not only improves the accuracy and efficiency of batching, but also reduces the complexity and error rate of manual operation. In practical applications, this device can automatically adjust the opening value of the pneumatic control valve 500 according to different batching requirements, so as to ensure that the weight of the raw materials in the metering tank 300 reaches the preset set value. At the same time, by real-time monitoring data such as the operating state of the canned motor pump 240, the liquid level deviation inside the metering tank 300, and the real-time pressure in the outlet pipe 200, this device can also optimize and compensate the batching process, further improving the accuracy and stability of batching.
[0068] Specifically, the control unit 700 includes an initial value determination module 710, a judgment and optimization module 720, and a judgment and compensation module 730; among them,
[0069] The initial value determination module 710 is configured to collect the weight data of the raw material to be transported in the metering tank 300, and determine the initial opening value of the pneumatic control valve 500 according to the weight data;
[0070] The judgment and optimization module 720 is configured to collect the operation status data of the canned motor pump 240, analyze the operation status data, and judge whether to optimize the initial opening value based on the analysis result; if so, collect the liquid level deviation value inside the metering tank 300, determine the optimization coefficient of the initial opening value according to the liquid level deviation value, and obtain the optimized opening value;
[0071] The judgment and compensation module 730 is configured to collect the weight change rate inside the metering tank 300, and judge whether to compensate the optimized opening value according to the weight change rate; if so, collect the real-time pressure data and the material property data in the outlet pipeline 200, determine the conveying influence value according to the real-time pressure data and the material property data, determine the compensation coefficient of the optimized opening value according to the conveying influence value, and obtain the compensated opening value.
[0072] It can be understood that through the mutual cooperation of the initial value determination module 710, the judgment and optimization module 720, and the judgment and compensation module 730, the precise batching control device for long-distance transportation of raw materials in the liquid storage tank 100 provided in this embodiment can achieve precise control of the batching process. First, the initial value determination module 710 determines the initial opening value of the pneumatic control valve 500 by collecting the weight data of the raw material to be transported in the metering tank 300, providing a basis for the subsequent batching process. Then, the judgment and optimization module 720 collects the operation status data of the canned motor pump 240 and analyzes the operation status data to judge whether the initial opening value needs to be optimized. If optimization is required, the judgment and optimization module 720 further collects the liquid level deviation value inside the metering tank 300, determines the optimization coefficient of the initial opening value according to the liquid level deviation value, and obtains the optimized opening value, thereby realizing further optimization of the batching process. Finally, the judgment and compensation module 730 collects the weight change rate inside the metering tank 300 to judge whether the optimized opening value needs to be compensated. If compensation is required, the judgment and compensation module 730 further collects the real-time pressure data and the material property data in the outlet pipeline 200, determines the conveying influence value according to the real-time pressure data and the material property data, determines the compensation coefficient of the optimized opening value according to the conveying influence value, and obtains the compensated opening value, thereby further improving the accuracy and stability of batching.
[0073] Specifically, when the initial value determination module 710 determines the initial opening value of the pneumatic control valve 500 according to the weight data, it includes:
[0074] Analyze the weight data to obtain the feeding weight inside the metering tank 300;
[0075] When the feed weight is the first weight set value, determine that the initial opening value of the pneumatic control valve 500 is the first opening value;
[0076] When the feed weight is the second weight set value, determine that the initial opening value of the pneumatic control valve 500 is the second opening value;
[0077] When the feed weight is the third weight set value, determine that the initial opening value of the pneumatic control valve 500 is the third opening value.
[0078] It can be understood that the first weight set value, the second weight set value, and the third weight set value are all preset according to the actual batching requirements and raw material characteristics. Such a setting ensures that the pneumatic control valve 500 can have a suitable opening value at different batching stages, thereby controlling the feed rate of the raw materials and achieving the purpose of accurate batching.
[0079] Specifically, when the judgment and optimization module 720 analyzes the operation state data and determines whether to optimize the initial opening value based on the analysis result, it includes:
[0080] Analyze the operation state data to obtain the real-time operation power and operation time of the canned motor pump 240;
[0081] Respectively obtain the operation power standard value corresponding to the real-time operation power and the operation time standard value corresponding to the operation time;
[0082] Calculate the equipment operation deviation value according to the real-time operation power, the operation power standard value, the operation time, and the operation time standard value;
[0083] Judge whether to optimize the initial opening value according to the equipment operation deviation value.
[0084] In this embodiment, the equipment operation deviation value is calculated by the following formula:
[0085]
[0086] Among them, ε represents the equipment operation deviation value, dimensionless, representing the degree of deviation; α represents the power deviation weight coefficient, and the value range is (0–1), and the preferred value is 0.6; β represents the time deviation weight coefficient, and the value range is (0–1), and the preferred value is 0.4, satisfying α + β = 1; Pr represents the real-time operation power; Ps represents the operation power standard value; Tr represents the operation time; Ts represents the operation time standard value.
[0087] Specifically, when the judgment and optimization module 720 judges whether to optimize the initial opening value according to the equipment operation deviation value, it includes:
[0088] Compare the device operation deviation value with the device operation deviation threshold, and determine whether to optimize the initial opening value according to the comparison result;
[0089] If the device operation deviation value is greater than the device operation deviation threshold, it is determined to optimize the initial opening value;
[0090] Otherwise, it is determined not to optimize the initial opening value.
[0091] It can be understood that the values of the power deviation weight coefficient α and the time deviation weight coefficient β can be adjusted according to the actual batching requirements and raw material characteristics to ensure more accurate optimization of the initial opening value. When the device operation deviation value ε exceeds the preset threshold, the judgment optimization module 720 determines that it is necessary to optimize the initial opening value to avoid batching errors caused by the poor operation state of the canned motor pump 240.
[0092] Specifically, when the judgment optimization module 720 determines the optimization coefficient of the initial opening value according to the liquid level deviation value and obtains the optimized opening value, it includes:
[0093] Compare the liquid level deviation value with the first liquid level deviation value and the second liquid level deviation value, and determine the optimization coefficient of the initial opening value according to the comparison result; wherein, the first liquid level deviation value is less than the second liquid level deviation value;
[0094] Set the optimization coefficient interval, where the optimization coefficient interval includes the first optimization coefficient, the second optimization coefficient, and the third optimization coefficient;
[0095] When the liquid level deviation value is less than or equal to the first liquid level deviation value, determine the optimization coefficient as the first optimization coefficient, and use the product value of the first optimization coefficient and the initial opening value as the optimized opening value;
[0096] When the liquid level deviation value is greater than the first liquid level deviation value and less than or equal to the second liquid level deviation value, determine the optimization coefficient as the second optimization coefficient, and use the product value of the second optimization coefficient and the initial opening value as the optimized opening value;
[0097] When the liquid level deviation value is greater than the second liquid level deviation value, determine the optimization coefficient as the third optimization coefficient, and use the product value of the third optimization coefficient and the initial opening value as the optimized opening value.
[0098] In this embodiment, the physical meaning of the liquid level deviation value is the difference between the actual liquid level inside the metering tank 300 and the theoretical liquid level, which reflects the change of the liquid level inside the metering tank 300. By comparing the liquid level deviation value with the preset first liquid level deviation value and second liquid level deviation value, the change degree of the liquid level inside the metering tank 300 can be judged, so as to determine the optimization coefficient of the initial opening value.
[0099] It is understandable that the first optimization coefficient, the second optimization coefficient, and the third optimization coefficient are all preset according to actual batching requirements and raw material characteristics, and their magnitude relationship is the first optimization coefficient < the second optimization coefficient < the third optimization coefficient. Such a setting ensures that the initial opening value can be appropriately adjusted under different liquid level deviation conditions, thereby further improving the batching accuracy. When the liquid level deviation is small, a smaller optimization coefficient is adopted to avoid instability caused by excessive adjustment; when the liquid level deviation is large, a larger optimization coefficient is adopted to quickly adjust to the target liquid level and ensure the continuity and accuracy of batching.
[0100] Specifically, when the judgment compensation module 730 determines whether to compensate the optimized opening value according to the weight change rate, it includes:
[0101] Comparing the weight change rate with the weight change rate threshold, and judging whether to compensate the optimized opening value according to the comparison result;
[0102] If the weight change rate is outside the weight change rate threshold, it is determined to compensate the optimized opening value;
[0103] Otherwise, it is determined not to compensate the optimized opening value.
[0104] It is understandable that the weight change rate reflects the rate of change of the weight of the raw materials inside the metering tank 300, and it is an important basis for judging whether the batching process is stable. When the weight change rate exceeds the preset weight change rate threshold, it may mean that there are abnormalities in the batching process, such as raw material blockage, leakage in the conveying pipeline, etc. At this time, the judgment compensation module 730 will determine that it is necessary to compensate the optimized opening value to adjust the batching speed and ensure the stability and accuracy of batching.
[0105] Specifically, when the judgment compensation module 730 determines the conveying influence value according to the real-time pressure data and the material characteristic data, it includes:
[0106] Performing feature extraction on the real-time pressure data and the material characteristic data respectively to obtain the pressure feature value and the material feature value;
[0107] Taking the pressure feature value and the material feature value as the feature set;
[0108] Comparing the feature set with the historical data, and determining the conveying influence value according to the comparison result.
[0109] Specifically, when the judgment compensation module 730 compares the feature set with the historical data and determines the conveying influence value according to the comparison result, it includes:
[0110] When there is a historical feature set in the historical data that is the same as the feature set, taking the historical conveying influence value corresponding to the historical feature set as the conveying influence value;
[0111] When there is no historical feature set in the historical data that is the same as the feature set, the conveying influence value is calculated using the weighted average method according to the similarity between the historical data and the feature set.
[0112] In this embodiment, the feature set = {pressure feature value, material feature value}, which is assumed to be a vector P, M; the feature set and the corresponding conveying influence value are extracted from the historical data;
[0113] Historical data = [([P1, M1, V1), (P2, M2, V2),..., (Pn, Mn, Vn)];
[0114] For each historical feature set Pi, Mi, calculate the similarity with the current feature set P, M;
[0115]
[0116] Among them, di represents the Euclidean distance between the current feature set P, M and the historical feature set Pi, Mi, which is used to measure the similarity between them.
[0117] Calculate the weight according to the distance, and to avoid division by zero, a small quantity ∈ is introduced;
[0118]
[0119] Among them, ωi represents the weight between the current feature set P, M and the historical feature set Pi, Mi, which reflects the similarity degree between them.
[0120] Normalized weight:
[0121]
[0122] Among them, Wi represents the normalized weight, which is used for the subsequent weighted average calculation of the conveying influence value; j represents the number of feature sets in the historical data.
[0123] Calculate the conveying influence value using the weighted average method:
[0124]
[0125] Among them, V represents the conveying influence value calculated according to the historical data and the current feature set; Vi represents the conveying influence value corresponding to the current feature set Pi, Mi in the historical data.
[0126] Specifically, when the judgment compensation module 730 determines the compensation coefficient of the optimized opening value according to the conveying influence value and obtains the compensated opening value, it includes:
[0127] Compare the conveying influence value with the first conveying influence value and the second conveying influence value, and determine the optimization coefficient of the optimized opening value according to the comparison result; wherein, the first conveying influence value is less than the second conveying influence value.
[0128] Set a compensation coefficient interval, where the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient.
[0129] When the conveying influence value is less than or equal to the first conveying influence value, determine that the compensation coefficient is the first compensation coefficient, and use the product value of the first compensation coefficient and the optimized opening value as the compensation opening value.
[0130] When the conveying influence value is greater than the first conveying influence value and less than or equal to the second conveying influence value, determine that the compensation coefficient is the second compensation coefficient, and use the product value of the second compensation coefficient and the optimized opening value as the compensation opening value.
[0131] When the conveying influence value is greater than the second conveying influence value, determine that the compensation coefficient is the third compensation coefficient, and use the product value of the third compensation coefficient and the optimized opening value as the compensation opening value.
[0132] It can be understood that the first compensation coefficient, the second compensation coefficient, and the third compensation coefficient are all preset according to actual batching requirements and raw material characteristics, and their magnitude relationship is the first compensation coefficient < the second compensation coefficient < the third compensation coefficient. Such a setting ensures that the optimized opening value can be appropriately adjusted under different conveying influence conditions, thereby further improving the accuracy and stability of batching. When the conveying influence is small, a smaller compensation coefficient is used to avoid instability caused by excessive adjustment; when the conveying influence is large, a larger compensation coefficient is used to quickly adjust to the target batching state to ensure the continuity and accuracy of batching. Through such a precise batching control device, it is possible to effectively improve the batching accuracy and stability during the long-distance conveying of the raw materials in the liquid storage tank 100, and meet various complex batching requirements.
[0133] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0134] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.
[0135] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means for implementing the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.
[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.
[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.
Claims
1. A precise batching control device for long-distance conveying of raw materials in a liquid storage tank, characterized in that, Including: A storage tank, an outlet pipeline, a metering tank, and a connecting pipeline; both ends of the outlet pipeline are respectively communicated with the storage tank and the metering tank; along the flow direction of the raw material, a first manual ball valve, a second manual ball valve, a basket filter, a canned motor pump, a pressure gauge, a check valve, a first pneumatic ball valve, a third manual ball valve, a pulsation damper, and a second pneumatic ball valve are sequentially installed on the outlet pipeline; A third pneumatic ball valve and a fourth pneumatic ball valve are further installed on the top head of the metering tank; A fourth manual ball valve is further provided between the basket filter and the canned motor pump; A fifth manual ball valve is provided between the check valve and the first pneumatic ball valve; The first end of the connecting pipeline is communicated with the feed inlet at the top of the storage tank, a pneumatic control valve is provided on the connecting pipeline, the second end of the connecting pipeline is connected with the outlet pipeline, and the connection point of the connecting pipeline and the outlet pipeline is located between the first pneumatic ball valve and the third manual ball valve; A control unit, which is respectively connected with the storage tank, the canned motor pump, the pneumatic control valve, and the metering tank, and is used for controlling the conveying of the raw material.
2. The precise batching control device for long-distance conveying of liquid storage tank raw materials according to claim 1, characterized in that, The control unit includes an initial value determination module, a judgment and optimization module, and a judgment and compensation module; wherein, The initial value determination module is configured to collect the weight data of the raw material to be conveyed in the metering tank, and determine the initial opening value of the pneumatic control valve according to the weight data; The judgment and optimization module is configured to collect the operating state data of the canned motor pump, analyze the operating state data, and judge whether to optimize the initial opening value based on the analysis result; if so, collect the liquid level deviation value inside the metering tank, determine the optimization coefficient of the initial opening value according to the liquid level deviation value, and obtain the optimized opening value; The judgment and compensation module is configured to collect the weight change rate inside the metering tank, and judge whether to compensate the optimized opening value according to the weight change rate; if so, collect the real-time pressure data and the material property data in the outlet pipeline, determine the conveying influence value according to the real-time pressure data and the material property data, determine the compensation coefficient of the optimized opening value according to the conveying influence value, and obtain the compensated opening value.
3. The precise batching control device for long-distance conveying of liquid storage tank raw materials according to claim 2, characterized in that, When the initial value determination module determines the initial opening value of the pneumatic control valve according to the weight data, it includes: Analyzing the weight data to obtain the feeding weight inside the metering tank; When the feeding weight is the first weight set value, determining the initial opening value of the pneumatic control valve as the first opening value; When the feeding weight is the second weight set value, determining the initial opening value of the pneumatic control valve as the second opening value; When the feeding weight is the third weight set value, determining the initial opening value of the pneumatic control valve as the third opening value.
4. The precise batching control device for long-distance transportation of liquid storage tank raw materials according to claim 3, wherein When the judgment and optimization module analyzes the operating state data and judges whether to optimize the initial opening value based on the analysis result, it includes: Analyzing the operating state data to obtain the real-time operating power and operating time of the canned motor pump; Obtain the corresponding operating power standard value of the real-time operating power and the corresponding operating time standard value of the operating time respectively; Calculate the equipment operation deviation value according to the real-time operating power, the operating power standard value, the operating time and the operating time standard value; Judge whether to optimize the initial opening value according to the equipment operation deviation value.
5. The precise batching control device for long-distance conveying of liquid storage tank raw materials according to claim 4, characterized in that, When the judgment and optimization module judges whether to optimize the initial opening value according to the equipment operation deviation value, it includes: Compare the equipment operation deviation value with the equipment operation deviation threshold, and judge whether to optimize the initial opening value according to the comparison result; If the equipment operation deviation value is greater than the equipment operation deviation threshold, it is determined to optimize the initial opening value; Otherwise, it is determined not to optimize the initial opening value.
6. The precise batching control device for long-distance conveying of liquid storage tank raw materials according to claim 5, wherein When the judgment and optimization module determines the optimization coefficient of the initial opening value according to the liquid level deviation value and obtains the optimized opening value, it includes: Compare the liquid level deviation value with the first liquid level deviation value and the second liquid level deviation value, and determine the optimization coefficient of the initial opening value according to the comparison result; wherein, the first liquid level deviation value is less than the second liquid level deviation value; Set an optimization coefficient interval, wherein the optimization coefficient interval includes a first optimization coefficient, a second optimization coefficient and a third optimization coefficient; When the liquid level deviation value is less than or equal to the first liquid level deviation value, determine the optimization coefficient as the first optimization coefficient, and use the product value of the first optimization coefficient and the initial opening value as the optimized opening value; When the liquid level deviation value is greater than the first liquid level deviation value and less than or equal to the second liquid level deviation value, determine the optimization coefficient as the second optimization coefficient, and use the product value of the second optimization coefficient and the initial opening value as the optimized opening value; When the liquid level deviation value is greater than the second liquid level deviation value, determine the optimization coefficient as the third optimization coefficient, and use the product value of the third optimization coefficient and the initial opening value as the optimized opening value.
7. The precise batching control device for long-distance transportation of liquid storage tank raw materials according to claim 6, wherein, When the judgment and compensation module judges whether to compensate the optimized opening value according to the weight change rate, it includes: Compare the weight change rate with the weight change rate threshold, and judge whether to compensate the optimized opening value according to the comparison result; If the weight change rate is outside the weight change rate threshold, it is determined to compensate the optimized opening value; Otherwise, it is determined not to compensate the optimized opening value.
8. The precise batching control device for long-distance conveying of raw materials in a liquid storage tank according to claim 7, characterized in that When the judgment and compensation module determines the conveying influence value according to the real-time pressure data and the material characteristic data, it includes: Extract features from the real-time pressure data and the material characteristic data respectively to obtain a pressure feature value and a material feature value; Use the pressure feature value and the material feature value as a feature set; Compare the feature set with historical data, and determine the conveying influence value according to the comparison result.
9. The precise batching control device for long-distance conveying of liquid storage tank raw materials according to claim 8, characterized in that, When the judgment and compensation module compares the feature set with historical data and determines the conveying influence value according to the comparison result, it includes: When there is a historical feature set identical to the feature set in the historical data, use the historical conveying influence value corresponding to the historical feature set as the conveying influence value; When there is no historical feature set identical to the feature set in the historical data, calculate the conveying influence value using the weighted average method according to the similarity between the historical data and the feature set.
10. The precise batching control device for long-distance conveying of liquid storage tank raw materials according to claim 9, characterized in that, When the judgment compensation module determines the compensation coefficient of the optimized opening value based on the conveying influence value and obtains the compensated opening value, it includes: Compare the conveying influence value with the first conveying influence value and the second conveying influence value, and determine the optimization coefficient of the optimized opening value according to the comparison result; wherein, the first conveying influence value is less than the second conveying influence value; Set a compensation coefficient interval, where the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient; When the conveying influence value is less than or equal to the first conveying influence value, determine the compensation coefficient as the first compensation coefficient, and use the product value of the first compensation coefficient and the optimized opening value as the compensated opening value; When the conveying influence value is greater than the first conveying influence value and less than or equal to the second conveying influence value, determine the compensation coefficient as the second compensation coefficient, and use the product value of the second compensation coefficient and the optimized opening value as the compensated opening value; When the conveying influence value is greater than the second conveying influence value, determine the compensation coefficient as the third compensation coefficient, and use the product value of the third compensation coefficient and the optimized opening value as the compensated opening value.