Automatic pipeline conveying control system driven by liquidometer signal feedback

Abstract

The invention discloses an automatic pipeline conveying control system driven by liquid level meter signal feedback, and particularly relates to the field of pipeline conveying control, which comprises a data acquisition module, a liquid level state analysis module, a hierarchical control module and a control execution feedback module, the data acquisition module is used for acquiring liquid level height data in the pipeline system and correcting a measurement error; and the real-time liquid level data is compared with a preset liquid level target value, a liquid level deviation value is calculated, and the deviation degree of the current liquid level and the target liquid level is determined. The liquid level meter and the collecting camera are combined, limitation of single equipment is reduced, more accurate and comprehensive data reflecting the liquid level condition can be obtained, the real-time state and the development situation of the liquid level can be accurately known, an accurate basis is provided for follow-up control, when the liquid level is abnormal, countermeasures can be taken in order according to a preset rule, and the accuracy of control is improved. And the failure rate of equipment is reduced, and the maintenance and repair times are reduced.

Description

Technical Field

[0001] The present invention relates to the field of pipeline transportation control. More specifically, the present invention relates to an automatic pipeline transportation control system driven by the signal feedback of a liquid level gauge. Background Art

[0002] In the field of pipeline transportation, the precise control of liquid level is crucial. Traditional pipeline transportation control systems have many deficiencies in liquid level monitoring and control. On the one hand, the accuracy of liquid level measurement devices is limited, and measurement errors may lead to misjudgment of the actual liquid level, thereby affecting the stability and safety of pipeline transportation. For example, in the prior art, when monitoring the liquid level, it is mostly carried out through a liquid level gauge. When there is a monitoring error in the liquid level gauge and the staff fails to discover it in time, it may lead to misjudgment of the actual liquid level, thereby affecting the stability and safety of pipeline transportation. The monitoring means are relatively single, and when there is a monitoring error, it is necessary for the staff to correct it.

[0003] On the other hand, existing systems often lack effective prediction of liquid level change trends and hierarchical control strategies. They are unable to adjust control measures in a timely and reasonable manner according to the dynamic changes of the liquid level, making it difficult to quickly and accurately respond when facing abnormal fluctuations in the liquid level, and prone to problems such as pipeline blockage and pressure imbalance. In addition, the different requirements for liquid level control under different working conditions have not been fully considered, resulting in poor adaptability of the system. Therefore, there is an urgent need for a more advanced automatic pipeline transportation control system driven by the signal feedback of a liquid level gauge to improve the accuracy, stability of liquid level control and the adaptability of the system.

[0004] To solve the above problems, a technical solution is provided as follows. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an automatic pipeline transportation control system driven by the signal feedback of a liquid level gauge to solve the problems proposed in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solution: An automatic pipeline transportation control system driven by the signal feedback of a liquid level gauge, comprising a data acquisition module, a liquid level state analysis module, a hierarchical control module and a control execution feedback module; The data acquisition module is used to collect the liquid level height data in the pipeline system and correct the measurement error; The liquid level state analysis module is used to compare the real-time liquid level data with a preset liquid level target value, calculate the liquid level deviation value, clarify the deviation degree between the current liquid level and the target liquid level, and predict the change trend of the liquid level based on the liquid level data of consecutive multiple time points; The hierarchical control module is used to set multiple different levels of control thresholds according to the change trend of the liquid level for hierarchical control; The control execution feedback module sends the formulated control instructions to the actuator, driving the actuator to adjust the operating state according to the instructions to achieve the control of the pipeline transportation process.

[0007] In a preferred embodiment, the operation of the data acquisition module specifically includes the following: Deploy liquid level gauges in the storage tanks and containers of the pipeline system to collect liquid level height data in real time, output the output signals of the liquid level gauges, correct the measurement errors according to the calibration parameters of the liquid level gauges, and select the known liquid level height data , record the corresponding output signals of the liquid level gauges , calculate the actual height value of the corrected liquid level, and the calculation formula is: ; Where is the actual height value of the corrected liquid level, is the measured signal value.

[0008] In a preferred embodiment, the operation of the data acquisition module specifically further includes the following: Deploy cameras for collecting liquid level height inside the storage tanks and containers of the pipeline system to collect liquid level height data in real time, output the output signals of the collecting cameras, correct the measurement errors according to the calibration parameters of the collecting cameras, set multiple feature points at known positions in the storage tanks and containers, accurately measure the actual physical heights of the multiple feature points, and mark them as , determine the pixel heights of these feature points in the image, and mark them as , the pixel height of the liquid surface collected by the camera in the image After that, correct it to obtain the corrected actual liquid level height , and the calculation formula is: .

[0009] In a preferred embodiment, during the data acquisition period, for the liquid level height data collected by the liquid level gauge, calculate the mean and standard deviation of the liquid level height data collected by the liquid level gauge, and mark them as and ; Calculate the fluctuation degree coefficient of the liquid level height data collected by the liquid level gauge, and the calculation formula is: ; In the formula, represents the fluctuation degree coefficient of the liquid level height data collected by the liquid level gauge; During the data acquisition time period, for the liquid level height data collected by the acquisition camera, calculate the mean and standard deviation of the liquid level height data collected by the acquisition camera, and mark them as and ; Calculate the fluctuation degree coefficient of the liquid level height data collected by the acquisition camera. The calculation formula is: ; In the formula, represents the fluctuation degree coefficient of the liquid level height data collected by the acquisition camera.

[0010] In a preferred embodiment, preset the fluctuation degree coefficient threshold of the liquid level height data collected by each liquid level gauge during the data acquisition time period and the fluctuation degree coefficient threshold of the liquid level height data collected by each acquisition camera during the data acquisition time period; Compare the fluctuation degree coefficient of the liquid level height data collected by the liquid level gauge with the fluctuation degree coefficient threshold of the liquid level height data collected by the liquid level gauge, and compare the fluctuation degree coefficient of the liquid level height data collected by the acquisition camera with the fluctuation degree coefficient threshold of the liquid level height data collected by the acquisition camera; If both are within the range of the fluctuation degree coefficient threshold of the corresponding liquid level height data, take the average value of the fluctuation degree coefficient of the liquid level height data collected by the liquid level gauge and the fluctuation degree coefficient of the liquid level height data collected by the acquisition camera. The calculation formula is: ; Where is the weight of the liquid level gauge, is the weight of the acquisition camera, and ; If the fluctuation degree coefficient of the liquid level height data collected by the liquid level gauge is not within the range of the fluctuation degree coefficient threshold of the liquid level height data collected by the liquid level gauge, correct the error of the liquid level gauge; If the fluctuation degree coefficient of the liquid level height data collected by the acquisition camera is not within the range of the fluctuation degree coefficient threshold of the liquid level height data collected by the acquisition camera, correct the error of the acquisition camera.

[0011] In a preferred embodiment, determine the liquid level target value , obtain the actual liquid level height value after correction of the liquid level gauge at a certain moment and the actual liquid level height after correction of the acquisition camera, and calculate the liquid level deviation value. The calculation formula is: ; Collect the liquid level deviation values at multiple consecutive time points , calculate the prediction coefficient of the liquid level change trend, and the calculation formula is: ; In the formula represents the prediction coefficient of the liquid level change trend.

[0012] In a preferred embodiment, if , it indicates that the overall liquid level has an upward trend. If is small, it means that the upward trend of the liquid level is relatively stable. If is large, it means that there are large fluctuations during the upward process of the liquid level; If , it indicates that the overall liquid level has a downward trend. If is small, it means that the downward trend of the liquid level is relatively stable. If is large, it means that there are large fluctuations during the downward process of the liquid level; If , it indicates that the liquid level tends to be stable.

[0013] In a preferred embodiment, if the liquid level shows an upward trend and is relatively stable, set three levels of control thresholds, which are , and , where , , ; If the upward trend of the liquid level has large fluctuations, the three levels of control thresholds are , , ; If the liquid level shows a downward trend and is relatively stable, the three levels of control thresholds are , , ; If the liquid level shows a downward trend and has large fluctuations, the three levels of control thresholds are , , ; If the liquid level tends to be stable, the three levels of control thresholds are , , .

[0014] In a preferred embodiment, when the first-level threshold is triggered, if the liquid level rises to the first-level threshold, fine-tune the feed valve to reduce the feed flow rate. If the liquid level drops to the first-level threshold, fine-tune the discharge valve to reduce the discharge flow rate; When the second-level threshold is triggered, if the liquid level rises to the second-level threshold, increase the adjustment amplitude of the feed valve. If the liquid level drops to the second-level threshold, increase the adjustment amplitude of the discharge valve; When the third-level threshold is triggered, if the liquid level rises to reach the third-level threshold, the valve of the main feed pipeline is closed. If the liquid level drops to reach the third-level threshold, the discharging is quickly stopped and the emergency feeding system is started.

[0015] The technical effects and advantages of the pipeline automatic conveying control system driven by the signal feedback of the liquid level gauge of the present invention are as follows: 1. By simultaneously deploying a liquid level gauge and a liquid level height acquisition camera to collect liquid level data and correcting the measurement error according to their respective calibration parameters, the liquid level gauge can calculate the actual height by correcting the measurement signal value according to the calibration parameters, and the acquisition camera can correct the liquid level data through the relationship between the physical height and the pixel height of the feature points. And when a monitoring error occurs, both can automatically correct the error, which effectively avoids the misjudgment of the liquid level caused by equipment errors, greatly improves the accuracy of liquid level measurement, provides a reliable data basis for the precise control of the pipeline conveying process. Considering the data collected by the liquid level gauge and the acquisition camera comprehensively, when the fluctuation degree coefficients of both are within the threshold range, the weighted average value is taken. The liquid level gauge has an advantage in continuous measurement, while the acquisition camera can provide additional information in visualization and complex scenarios. The combination of the two combines the advantages and reduces the limitations of a single device, and more accurate and comprehensive data reflecting the liquid level situation can be obtained; 2. By calculating the liquid level deviation value, the deviation degree between the current liquid level and the target liquid level can be clarified, and then combined with the liquid level change trend prediction coefficient to judge the change trend and stability of the liquid level. This enables the system to accurately understand the real-time state and development trend of the liquid level, provides an accurate basis for subsequent control, and avoids blind operation. Based on the liquid level change trend prediction coefficient, the change direction of the liquid level can be predicted in advance. When the liquid level has not reached the dangerous state, measures can be taken in advance through hierarchical control for intervention. For example, in the rising trend of the liquid level, when the first-level threshold is reached, the feed valve is slightly adjusted to reduce the feed flow rate to prevent problems such as overflow caused by the continuous rapid rise of the liquid level, thereby maintaining the stability of the system liquid level and ensuring the stable operation of the pipeline conveying system; 3. Different levels of control thresholds are set according to different liquid level change trends (rising, falling, stable) and their stability (large or small fluctuations). Corresponding precise control actions are taken when different thresholds are triggered, such as slightly adjusting the valve, increasing the adjustment amplitude, closing the valve or starting the feeding system, etc. This refined hierarchical control can better fit the actual liquid level change situation, realize the precise regulation of the pipeline conveying process, effectively avoid the excessive deviation of the liquid level from the target value, and set more reasonable control thresholds and control strategies for the liquid level change trend with large fluctuations. For example, when the rising trend of the liquid level fluctuates greatly, the threshold interval is adjusted more reasonably, so that the system can better cope with the large fluctuations of the liquid level, avoid untimely control or over-control caused by fluctuations, enhance the adaptability of the system to complex liquid level change situations, and improve the overall stability of the system; 4. The hierarchical control mechanism enables the system to take response measures in an orderly manner according to preset rules when facing abnormal liquid levels, progressing step by step from minor adjustments to emergency handling. This orderly fault response method helps to handle different degrees of abnormal liquid levels in a timely and reasonable manner, reducing the likelihood and harm of accidents. 5. Precise liquid level control reduces the damage to pipeline equipment caused by abnormal liquid levels, such as avoiding pressure shocks on pipelines caused by too high liquid levels and dry running caused by too low liquid levels. This reduces the failure rate of equipment, the number of maintenance and repair times, and further reduces the maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic structural diagram of a pipeline automatic conveying control system driven by signal feedback of the liquid level gauge of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] Embodiment 1 Figure 1 A pipeline automatic conveying control system driven by signal feedback of the liquid level gauge of the present invention is given, including a data acquisition module, a liquid level state analysis module, a hierarchical control module, and a control execution feedback module. The data acquisition module is used to collect the liquid level height data in the pipeline system and correct the measurement error. The liquid level state analysis module is used to compare the real-time liquid level data with the preset liquid level target value, calculate the liquid level deviation value, clarify the deviation degree between the current liquid level and the target liquid level, and predict the change trend of the liquid level based on the liquid level data at multiple consecutive time points. The hierarchical control module is used to set multiple different levels of control thresholds according to the change trend of the liquid level for hierarchical control. The control execution feedback module sends the formulated control instructions to the actuator, driving the actuator to adjust the operating state according to the instructions to achieve the control of the pipeline conveying process.

[0019] The operation of the data acquisition module specifically includes the following contents: Deploy liquid level gauges in the storage tanks and containers of the pipeline system, collect the liquid level height data in real time, output the output signal of the liquid level gauge, correct the measurement error according to the calibration parameters of the liquid level gauge, and select the known liquid level height data. , record the output signal of the corresponding liquid level gauge , calculate the actual height value of the corrected liquid level. The calculation formula is: ; Where is the actual height value of the corrected liquid level, is the measured signal value.

[0020] It should be noted that when the liquid level gauge has a monitoring error, it can automatically correct the monitoring error of the liquid level gauge.

[0021] The specific operation of the data acquisition module also includes the following: Deploy a liquid level height acquisition camera inside the storage tank and container of the pipeline system, collect the liquid level height data in real time, output the output signal of the acquisition camera, correct the measurement error according to the calibration parameters of the acquisition camera, set multiple feature points with known positions in the storage tank and container, accurately measure the actual physical height of multiple feature points, and mark them as , determine the pixel height of these feature points in the image, and mark it as , the pixel height of the liquid surface collected by the camera in the image After that, correct it to obtain the corrected actual liquid level height , and the calculation formula is: .

[0022] It should be noted that when the acquisition camera has a monitoring error, it can automatically correct the monitoring error of the acquisition camera.

[0023] During the data acquisition period, for the liquid level height data collected by the liquid level gauge, calculate the mean and standard deviation of the liquid level height data collected by the liquid level gauge, and mark them as and ; Calculate the fluctuation degree coefficient of the liquid level height data collected by the liquid level gauge. The calculation formula is: ; In the formula, represents the fluctuation degree coefficient of the liquid level height data collected by the liquid level gauge; During the data acquisition period, for the liquid level height data collected by the acquisition camera, calculate the mean and standard deviation of the liquid level height data collected by the acquisition camera, and mark them as and ; Calculate the fluctuation degree coefficient of the liquid level height data collected by the acquisition camera. The calculation formula is: ; In the formula, It represents the coefficient of fluctuation degree of the liquid level height data collected by the acquisition camera.

[0024] Preset the threshold of the coefficient of fluctuation degree of the liquid level height data collected by each liquid level gauge during the data acquisition period and the threshold of the coefficient of fluctuation degree of the liquid level height data collected by each acquisition camera during the data acquisition period; Compare the coefficient of fluctuation degree of the liquid level height data collected by the liquid level gauge with the threshold of the coefficient of fluctuation degree of the liquid level height data collected by the liquid level gauge, and compare the coefficient of fluctuation degree of the liquid level height data collected by the acquisition camera with the threshold of the coefficient of fluctuation degree of the liquid level height data collected by the acquisition camera; If both are within the threshold range of the coefficient of fluctuation degree of the corresponding liquid level height data, take the average value of the coefficient of fluctuation degree of the liquid level height data collected by the liquid level gauge and the coefficient of fluctuation degree of the liquid level height data collected by the acquisition camera. The calculation formula is: ; where is the weight of the liquid level gauge, is the weight of the acquisition camera, and ; If the coefficient of fluctuation degree of the liquid level height data collected by the liquid level gauge is not within the threshold range of the coefficient of fluctuation degree of the liquid level height data collected by the liquid level gauge, perform error correction on the liquid level gauge; If the coefficient of fluctuation degree of the liquid level height data collected by the acquisition camera is not within the threshold range of the coefficient of fluctuation degree of the liquid level height data collected by the acquisition camera, perform error correction on the acquisition camera.

[0025] It should be noted that by calculating the coefficient of fluctuation degree and comparing it with the preset threshold, when the coefficient of fluctuation degree is not within the threshold range, error correction is performed on the liquid level gauge and the acquisition camera. This helps to timely detect possible deviations in equipment measurement, avoid inaccurate liquid level data caused by long-term cumulative errors, so as to ensure that the collected liquid level height data is closer to the true value, providing a reliable basis for subsequent analysis and control based on liquid level data.

[0026] Comprehensively considering the data collected by the liquid level gauge and the acquisition camera, when the coefficients of fluctuation degree of both are within the threshold range, take the weighted average value. The liquid level gauge and the acquisition camera each have their own advantages and disadvantages. The liquid level gauge may have an advantage in continuous measurement, and the camera may provide additional information in visualization and some complex scenarios. Doing so can integrate the advantages of both to obtain more accurate and comprehensive data reflecting the liquid level situation, reducing the limitations that may exist in a single device.

[0027] Accurate liquid level data and a reasonable judgment of data fluctuations ensure the effective implementation of the hierarchical control strategy formulated based on the liquid level change trend. If the liquid level data is inaccurate or abnormal fluctuations are not processed, it may lead to misjudgment of the control threshold, causing the hierarchical control module to issue incorrect instructions and affecting the control effect of the pipeline transportation process. The above processing method guarantees the data quality, and thus guarantees the reliability and effectiveness of the entire control system.

[0028] Determine the liquid level target value , and obtain the actual liquid level height value corrected by the liquid level gauge at a certain moment and the actual liquid level height corrected by the acquisition camera , calculate the liquid level deviation value, and the calculation formula is: ; Collect the liquid level deviation values at multiple consecutive time points , calculate the liquid level change trend prediction coefficient, and the calculation formula is: ; In the formula represents the liquid level change trend prediction coefficient.

[0029] If , it indicates that the overall liquid level has an upward trend. If is small, it means that the upward trend of the liquid level is relatively stable. If is large, it means that there are large fluctuations during the upward process of the liquid level; If , it indicates that the overall liquid level has a downward trend. If is small, it means that the downward trend of the liquid level is relatively stable. If is large, it means that there are large fluctuations during the downward process of the liquid level; If , it indicates that the liquid level tends to be stable.

[0030] If the liquid level shows an upward trend and is relatively stable, set three levels of control thresholds, which are , and , where , , ; If the upward trend of the liquid level has large fluctuations, the three levels of control thresholds are , , ; If the liquid level shows a downward trend and is relatively stable, the three levels of control thresholds are , , ;​ If the liquid level shows a downward trend and fluctuates greatly, the control thresholds for the three levels are respectively , , ; If the liquid level tends to be stable, the control thresholds for the three levels are respectively , , .

[0031] When the first-level threshold is triggered, if the liquid level rises to the first-level threshold, fine-tune the feed valve to reduce the feed flow rate. If the liquid level drops to the first-level threshold, fine-tune the discharge valve to reduce the discharge flow rate; When the second-level threshold is triggered, if the liquid level rises to the second-level threshold, increase the adjustment range of the feed valve. If the liquid level drops to the second-level threshold, increase the adjustment range of the discharge valve; When the third-level threshold is triggered, if the liquid level rises to the third-level threshold, close the main feed pipeline valve. If the liquid level drops to the third-level threshold, quickly stop the discharge and start the emergency feeding system.

[0032] It should be noted that by calculating the liquid level deviation value, the deviation degree between the current liquid level and the target liquid level can be determined. Then, combined with the liquid level change trend prediction coefficient, the change trend and stability of the liquid level can be judged. This enables the system to accurately understand the real-time state and development trend of the liquid level, providing an accurate basis for subsequent control, avoiding blind operations, setting different levels of control thresholds according to different liquid level change trends (rising, falling, stable) and their stabilities (large or small fluctuations), and taking corresponding precise control actions when different thresholds are triggered, such as fine-tuning the valve, increasing the adjustment range, closing the valve or starting the feeding system, etc. This refined hierarchical control can better fit the actual liquid level change situation, achieve precise control of the pipeline transportation process, and effectively avoid the excessive deviation of the liquid level from the target value.

[0033] Based on the liquid level change trend prediction coefficient, the change direction of the liquid level can be predicted in advance. When the liquid level has not reached a dangerous state, measures can be taken in advance through hierarchical control for intervention. For example, in the rising trend of the liquid level, when it reaches the first-level threshold, fine-tune the feed valve to reduce the feed flow rate to prevent problems such as overflow caused by the continuous rapid rise of the liquid level, thereby maintaining the stability of the system liquid level and ensuring the stable operation of the pipeline transportation system. For the liquid level change trend with large fluctuations, more reasonable control thresholds and control strategies are set. For example, when the rising trend of the liquid level fluctuates greatly, the threshold interval is adjusted more reasonably, enabling the system to better cope with large fluctuations in the liquid level, avoiding untimely or excessive control caused by fluctuations, enhancing the system's adaptability to complex liquid level change situations, and improving the overall stability of the system.

[0034] When the liquid level rises or falls to reach the third-level threshold, emergency measures are taken, such as closing the valves of the main feed pipeline, stopping the discharging and starting the emergency feeding system, etc. These measures can effectively avoid extreme dangerous situations such as excessive overflow or too low cut-off of the liquid level, ensure the safety of the pipeline conveying system, reduce the risk of safety accidents caused by abnormal liquid level, protect the safety of equipment and personnel. The hierarchical control mechanism enables the system to take corresponding measures orderly according to the preset rules when facing abnormal liquid level, from slight adjustment to emergency treatment, gradually progressing. This orderly way of dealing with faults helps to handle in a timely and reasonable manner under different degrees of abnormal liquid level situations, reducing the possibility and harm degree of accidents.

[0035] The above formulas are all dimensionless and take their numerical values for calculation. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters and threshold selection in the formula are set by those skilled in the art according to the actual situation.

[0036] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wire (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0037] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0038] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing embodiments and will not be elaborated herein.

[0039] In several embodiments provided in the present application, it should be understood that the disclosed systems and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0040] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0041] In addition, in each embodiment of the present application, the functional units can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0042] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps described in each embodiment of the present application. The foregoing storage medium includes: various media that can store program codes such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0043] As described above, it is only the specific implementation manner of the present application. However, the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims described above.

[0044] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. The pipeline automatic transportation control system driven by liquid level meter signal feedback is characterized by: It includes data acquisition module, liquid level status analysis module, hierarchical control module and control execution feedback module; The data acquisition module is used to collect liquid level height data in the pipeline system and correct measurement errors; The liquid level status analysis module is used to compare the real-time liquid level data with the preset liquid level target value, calculate the liquid level deviation value, clarify the degree of deviation between the current liquid level and the target liquid level, and predict the change trend of the liquid level based on the liquid level data at multiple consecutive time points; The hierarchical control module is used to set multiple control thresholds of different levels according to the change trend of the liquid level to perform hierarchical control; The control execution feedback module sends the formulated control instructions to the actuator, drives the actuator to adjust the operating status according to the instructions, and realizes the control of the pipeline transportation process.

2. According to claim 1, the pipeline automatic transportation control system driven by liquid level meter signal feedback is characterized in that: The operation of the data acquisition module specifically includes the following: Deploy level gauges in the tanks and containers of the pipeline system, collect real-time liquid level data, output level gauge output signals, correct measurement errors based on the calibration parameters of the level gauge, and select known liquid level data. , record the corresponding level meter output signal , calculate the corrected actual liquid level height value, the calculation formula is: ； in is the actual height value of the liquid level after correction, is the measured signal value.

3. The pipeline automatic transportation control system driven by liquid level meter signal feedback according to claim 2 is characterized by: The operation of the data acquisition module also includes the following contents: Deploy liquid level acquisition cameras in the storage tanks and containers of the pipeline system, collect liquid level data in real time, output the acquisition camera output signal, correct the measurement error according to the calibration parameters of the acquisition camera, set multiple feature points at known positions in the storage tanks and containers, accurately measure the actual physical heights of multiple feature points, and mark them as , determine the pixel height of these feature points in the image, marked as , the camera collects the pixel height of the liquid surface in the image After that, it is corrected to get the corrected actual liquid level height , the calculation formula is: 。 4. The pipeline automatic transportation control system driven by liquid level meter signal feedback according to claim 3 is characterized by: During the data collection period, for the liquid level data collected by the liquid level meter, the mean and standard deviation of the liquid level data collected by the liquid level meter are calculated and marked as and ; Calculate the fluctuation coefficient of the liquid level data collected by the liquid level meter. The calculation formula is: ； In the formula, Indicates the fluctuation coefficient of the liquid level data collected by the liquid level meter; During the data collection period, for the liquid level height data collected by the collection camera, the mean and standard deviation of the liquid level height data collected by the collection camera are calculated and marked as and ; Calculate the fluctuation coefficient of the liquid level data collected by the acquisition camera. The calculation formula is: ； In the formula, Indicates the fluctuation coefficient of the liquid level data collected by the camera.

5. The pipeline automatic transportation control system driven by liquid level meter signal feedback according to claim 4 is characterized by: Preset a fluctuation coefficient threshold value of each liquid level height data collected by the liquid level meter in the data collection time period and a fluctuation coefficient threshold value of each liquid level height data collected by the collection camera in the data collection time period; Compare the fluctuation coefficient of the liquid level data collected by the liquid level meter with the fluctuation coefficient threshold of the liquid level data collected by the liquid level meter, and compare the fluctuation coefficient of the liquid level data collected by the collection camera with the fluctuation coefficient threshold of the liquid level data collected by the collection camera; If both are within the corresponding range of the fluctuation coefficient threshold of the liquid level data, then the average value of the fluctuation coefficient of the liquid level data collected by the level meter and the fluctuation coefficient of the liquid level data collected by the acquisition camera is taken. The calculation formula is: ； in is the weight of the level gauge, is the weight of the acquisition camera, and ; If the fluctuation coefficient of the liquid level height data collected by the liquid level meter is not within the range of the fluctuation coefficient threshold of the liquid level height data collected by the liquid level meter, error correction is performed on the liquid level meter; If the fluctuation degree coefficient of the liquid level height data collected by the collection camera is not within the range of the fluctuation degree coefficient threshold of the liquid level height data collected by the collection camera, error correction is performed on the collection camera.

6. The pipeline automatic transportation control system driven by liquid level meter signal feedback according to claim 5 is characterized by: Determine the target level , get a moment The actual height value of the liquid level after correction by the liquid level gauge And the actual liquid level height corrected by the acquisition camera , calculate the liquid level deviation value, the calculation formula is: ； Collect the liquid level deviation values ​​at multiple consecutive time points , calculate the liquid level change trend prediction coefficient, the calculation formula is: ； In the formula Represents the liquid level change trend prediction coefficient.

7. The pipeline automatic transportation control system driven by liquid level meter signal feedback according to claim 6 is characterized by: like , indicating that the liquid level has an overall upward trend. Small, indicating that the liquid level rising trend is relatively stable. If it is larger, it means that the liquid level fluctuates more during the rising process; like , indicating that the liquid level has an overall downward trend. Small, indicating that the liquid level decline trend is relatively stable. If it is larger, it means that the liquid level fluctuates more during the drop process; like , indicating that the liquid level tends to be stable.

8. The pipeline automatic transportation control system driven by liquid level meter signal feedback according to claim 7 is characterized by: If the liquid level is rising and relatively stable, set three levels of control thresholds, respectively. , and ,in , , ; If the liquid level rise trend fluctuates greatly, the three levels of control thresholds are , , ; If the liquid level is decreasing and relatively stable, the three levels of control thresholds are , , ; If the liquid level shows a downward trend and fluctuates greatly, the three levels of control thresholds are , , ; If the liquid level tends to be stable, the three levels of control thresholds are , , .

9. The pipeline automatic transportation control system driven by liquid level meter signal feedback according to claim 8, characterized in that: When the first level threshold is triggered, if the liquid level rises to reach the first level threshold, the feed valve is fine-tuned to reduce the feed flow rate; if the liquid level drops to reach the first level threshold, the discharge valve is fine-tuned to reduce the discharge flow rate; When the secondary threshold is triggered, if the liquid level rises to reach the secondary threshold, the adjustment range of the feed valve is increased; if the liquid level drops to reach the secondary threshold, the adjustment range of the discharge valve is increased; When the third-level threshold is triggered, if the liquid level rises to reach the third-level threshold, the main feed pipeline valve is closed; if the liquid level drops to reach the third-level threshold, the discharge is stopped immediately and the emergency feeding system is started.

Images