Core control-based industrial transportation quantitative loading control system

Abstract

This invention discloses a quantitative loading control system for industrial transportation based on core control, relating to the field of industrial transportation technology, including a field sensing layer, an actuator, and a core control unit. This invention overcomes the limitations of traditional volumetric metering through a built-in dynamic compensation module. Utilizing real-time collected temperature and pressure data combined with a material characteristic database, it accurately calculates the volume correction coefficient, effectively eliminating metering errors caused by diurnal temperature differences, seasonal variations, and pressure fluctuations. It also solves the industry problem of difficulty in identifying gas-liquid two-phase flows, accurately identifying and automatically deducting false flow rates at the moment gas mixing occurs, effectively avoiding the cavitation effect and pump cavitation caused by gas impact, significantly improving operational safety and equipment lifespan. The entire process from condition monitoring and anomaly correction to precise shutdown can be completed without manual intervention, significantly improving the efficiency and intelligent management level of industrial loading.

Description

Technical Field

[0001] This invention relates to the field of industrial transportation technology, and in particular to a quantitative loading control system for industrial transportation based on core control. Background Technology

[0002] Currently, in the liquid loading and unloading operations of key industrial sectors such as petroleum and chemical, most of the quantitative loading equipment widely used are quantitative delivery equipment manufactured 20 years ago with a single-chip microcomputer as the core control unit. After a long period of use, these devices have inevitably developed many serious problems.

[0003] From the perspective of the equipment's own condition, due to long-term exposure to complex industrial environments and the influence of various chemicals, temperature changes, and mechanical vibrations, the aging of the equipment is extremely prominent. The performance of its internal electronic components gradually declines, and the wear and tear on mechanical parts intensifies, directly leading to a significant reduction in the overall stability and reliability of the equipment. During operation, such aging equipment experiences frequent failures with a persistently high failure rate. These frequent malfunctions not only disrupt normal loading and unloading operations and reduce work efficiency but also increase maintenance costs and time costs. For example, sensor failures may lead to inaccurate data acquisition, affecting the accuracy of quantitative shipments; control circuit failures may prevent the equipment from starting or stopping normally, causing chaos in loading and unloading operations.

[0004] Regarding the accuracy of quantitative shipments, due to aging equipment and technological limitations, shipment errors are significant. In industries such as petroleum and chemicals, where material metering requirements are extremely stringent, large shipment errors can lead to substantial economic losses for enterprises. On the one hand, shipping too much may harm customer interests and damage the company's reputation; on the other hand, shipping too little may result in the loss of the company's own products, reducing economic benefits.

[0005] Furthermore, some of the early quantitative loading controllers used PLCs as the core main controller, building a relatively basic but functionally simple automated system. Its system architecture was concise, mainly consisting of four parts: a metering unit, a control unit, an execution unit, and a display unit.

[0006] In the metering unit, limited by early technology, the weighing sensors used lacked accuracy and stability, making it difficult to accurately capture subtle weight changes in materials. This affected the accuracy of quantitative loading to some extent. Regarding the control unit, due to the limited functionality of early PLCs, only simple logic control algorithms could be used, making it impossible to implement complex and precise quantitative control strategies. For example, it was difficult to dynamically adjust control parameters based on material characteristics and loading speed. Many systems lacked the dynamic compensation capability to cope with temperature and density changes. For instance, oil volume changes significantly with temperature; if the system could not collect and accurately correct this in real time (converting volume to mass), significant trading errors would occur. Furthermore, at the beginning or end of loading, gas may enter the pipeline; ordinary flow meters cannot distinguish between gas and liquid, leading to the measurement of gas as liquid and resulting in inaccurate measurements. To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention

[0007] The purpose of this invention is:

[0008] To achieve the above objectives, the present invention adopts the following technical solution: an industrial transportation quantitative loading control system based on core control, comprising a field sensing layer, an actuator, and a core control unit, wherein: The field sensing layer is used to collect the operating parameters of the medium flowing through the loading pipeline in real time through a sensor group installed inside the pipeline. The operating parameters include instantaneous volumetric flow rate, medium temperature, pipeline pressure and real-time density, and are sent to the core control unit. The actuator includes a multi-stage CNC control valve and pumping equipment, used to control the flow rate and on / off state of the medium; The core control unit is used for bidirectional connection with the field sensing layer and the actuator. The core control unit integrates a dynamic compensation module and a phase recognition module, wherein: The dynamic compensation unit is used to obtain the medium temperature and pipeline pressure in the operating parameters, and call the preset material characteristic database to calculate the volume correction coefficient, determine the correction requirement according to the preset correction threshold, and convert the operating volume flow rate into the standard volume flow rate in real time according to the correction requirement. Based on the flow rate difference between the operating volume flow rate and the standard volume flow rate, a correction instruction is generated and sent to the actuator. The phase recognition module is used to obtain the real-time density in the operating parameters, and calculate the density change rate and the drive gain value of the flow meter based on the real-time density data. It judges the state of impurities in the current fluid according to the preset gas-liquid two-phase flow threshold. If there is gas in the current fluid, a gas removal command is generated and sent to the actuator. At the same time, the false flow rate in this time period is automatically deducted from the metering accumulation value.

[0009] Furthermore, it also includes an identity recognition module, which is used to verify the consistency between the driver's identity, the crane's position number and the delivery note through a facial recognition terminal, so as to generate a verification pass signal and send it to the execution agency.

[0010] Furthermore, the sensor group is connected to the main pipeline via a high-pressure metal hose to physically isolate the mechanical vibration of the pump. The sensor group includes a mass flow meter, a temperature sensor, and a pressure transmitter. The mass flow meter is specifically a Coriolis flow meter. The mass flow meter is installed on the vertical pipe of the industrial transport quantitative system, and the flow direction is from bottom to top. Utilizing the principle of gravity, when the fluid flows from bottom to top, the entrained air bubbles will naturally rise to the top and quickly pass through the mass flow meter, and will not stagnate at the bend of the measuring tube, so as to ensure the purity of the real-time density data and make the judgment of the phase recognition module more accurate. The temperature sensor is specifically a sheathed platinum resistance thermometer, model Pt100RTD. The temperature sensor is set 5D-10D downstream of the mass flow meter, where D is the diameter of the vertical pipe. The probe end of the temperature sensor is located at the center line of the pipe cross-section and is installed at a 45-degree angle against the flow direction to ensure that the temperature collected is the core temperature of the fluid rather than the pipe wall temperature. The pressure transmitter is specifically a smart pressure transmitter that supports HART. The pressure tap of the pressure transmitter is located downstream of the mass flow meter and at a distance of more than or equal to 3D from the mass flow meter. This is to avoid fluid disturbances caused by the pressure tap affecting the vibration frequency of the flow meter, while ensuring that the measured pressure value is a stable pressure value after metering, which is used for accurate density pressure compensation.

[0011] Furthermore, the specific process for calculating the volume correction factor is as follows: S101. Obtain real-time medium temperature Ta and pipeline pressure Pa through the field sensing layer, and call the preset material characteristic database to extract the corresponding standard density according to the current material type. and coefficient of thermal expansion; S102. Calculate the temperature correction factor according to the following formula: Where Ts is the standard transport temperature corresponding to the current material type. The coefficient of thermal expansion at the current temperature; the temperature correction factor is used to reflect the effect of temperature on volume. S103. Calculate the pressure correction factor according to the following formula: , where Ps is standard atmospheric pressure, F is the compressibility coefficient corresponding to the current material type, and the pressure correction factor is used to reflect the effect of pressure on volume; S104. The volume correction factor VCF is obtained through comprehensive calculation: .

[0012] Furthermore, the specific process for generating the correction instructions is as follows: S201. Calculate the absolute value of the deviation based on the volume correction factor VCF and the reference value: , where 1 is the baseline value; S202. Obtain the preset correction threshold. If the absolute value of the deviation is less than or equal to the correction threshold, the influence of the current temperature and pressure on the measurement accuracy is within an acceptable range, and no signal is generated. If the absolute value of the deviation is greater than the correction threshold, then the impact of the current temperature and pressure on the measurement accuracy exceeds the acceptable range, and a correction demand signal is generated. S203. Obtain the correction demand signal and convert the operating condition volumetric flow rate Qa into the standard volumetric flow rate Qs in real time according to the following formula: ; Further generate flow difference ; If the flow rate difference is greater than 0, it means that the material is contracted due to cooling, and the actual amount of material flowing through is higher than the actual value. If the flow rate difference is less than 0, it means that the material expands due to cooling, and the actual amount of material flowing through is lower than the actual value. S204. Generate a correction instruction for the actuator based on the flow difference, the correction instruction being used to dynamically adjust the target cutoff amount for loading. The ultimate goal of the correction instructions is to load a fixed standard volume. The execution action is as follows: Assume the preset loading target is 1000L. If oil expansion is detected, the working condition flow meter may have already run 1000L, but the actual converted Qs is only 990L. At this time, the correction command generated by the core control unit is: "Extend valve opening time" or "Delay valve closing point". It automatically adjusts the valve closing setting value under operating conditions to 1000VCF, thereby ensuring that the material finally loaded into the compartment is exactly equal to 1000L after being converted back to the standard temperature.

[0013] Furthermore, the specific process for determining the state of impurities within the current fluid is as follows: S301, the core control unit reads a specific address from the mass flow meter register via the HART protocol, and converts the read raw value into a percentage form as follows: , where G(t) is the drive gain at the current moment, Ec is the current drive current, and Ex is the maximum drive current allowed by the device; S302, Preset a high-frequency sampling period And construct a sliding time window, and calculate the rate of change of density according to the following formula: ,in For the density at the current moment, The density is the density before n sampling periods, and the density change rate is used to reflect the severity of the oscillation in fluid density; S303, preset gain threshold, gain fluctuation threshold, density fluctuation threshold, and duration threshold. If any of the following conditions is met and exceeds the duration threshold, then it is determined that gas exists in the current fluid: The drive gain is greater than the set gain threshold. The current density is less than the standard density. ; The density change rate is less than the density fluctuation threshold and the driving gain is greater than the gain fluctuation threshold.

[0014] Furthermore, the gas removal command specifically includes: when gas is detected in the current fluid, sending a PID signal to the multi-stage CNC valve to force the opening to be adjusted to the micro-flow exhaust position, and at the same time triggering the exhaust valve to discharge the gas through the separator; When gas is detected, the current cumulative loading volume is immediately locked, and the flow increment between the time of recovery is automatically discarded. When the drive gain falls below the normal value and the density remains stable for a continuous metering period, the lock is released, and the multi-stage numerical control valve is instructed to restore the original loading flow rate and continue to accumulate metering.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This industrial transportation quantitative loading control system, based on core control, overcomes the limitations of traditional volumetric metering through its built-in dynamic compensation module. Utilizing real-time collected temperature and pressure data combined with a material characteristic database, it accurately calculates volume correction coefficients, effectively eliminating metering errors caused by diurnal temperature variations, seasonal changes, and pressure fluctuations. Simultaneously, it solves the industry challenge of identifying gas-liquid two-phase flows, accurately identifying and automatically deducting false flow rates the instant gas mixes in. This effectively avoids the cavitation effect and pump cavitation caused by gas impact, significantly improving operational safety and equipment lifespan. The entire process, from condition monitoring and anomaly correction to precise shutdown, can be completed without manual intervention, significantly improving the efficiency and intelligent management level of industrial loading. Attached Figure Description Figure 1 A schematic diagram of the overall structure of the present invention is shown. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example: like Figure 1 As shown, the industrial transportation quantitative loading control system based on core control includes a field sensing layer, actuators, and a core control unit, wherein: The field sensing layer is used to collect the operating parameters of the medium flowing through the loading pipeline in real time through a sensor group installed inside the pipeline. The operating parameters include instantaneous volumetric flow rate, medium temperature, pipeline pressure and real-time density, and are sent to the core control unit. The sensor group is connected to the main pipeline via a high-pressure metal hose to physically isolate the mechanical vibration of the pump. The sensor group includes a mass flow meter, a temperature sensor, and a pressure transmitter. The mass flow meter is specifically a Coriolis flow meter. The mass flow meter is installed on the vertical pipe of the industrial transport quantitative system, and the flow direction is from bottom to top. Utilizing the principle of gravity, when the fluid flows from bottom to top, the entrained air bubbles will naturally rise to the top and quickly pass through the mass flow meter, and will not stagnate at the bend of the measuring tube, so as to ensure the purity of the real-time density data and make the judgment of the phase recognition module more accurate. The temperature sensor is specifically a sheathed platinum resistance thermometer, model Pt100RTD. The temperature sensor is set 5D-10D downstream of the mass flow meter, where D is the diameter of the vertical pipe. The probe end of the temperature sensor is located at the center line of the pipe cross-section and is installed at a 45-degree angle against the flow direction to ensure that the temperature collected is the core temperature of the fluid rather than the pipe wall temperature. The pressure transmitter is specifically a smart pressure transmitter that supports HART. The pressure tap of the pressure transmitter is located downstream of the mass flow meter and at a distance of more than or equal to 3D from the mass flow meter. This is to avoid fluid disturbances caused by the pressure tap affecting the vibration frequency of the flow meter, while ensuring that the measured pressure value is a stable pressure value after metering, which is used for accurate density pressure compensation.

[0018] The actuator includes a multi-stage CNC control valve and pumping equipment, used to control the flow rate and on / off state of the medium; The core control unit is used for bidirectional connection with the field sensing layer and the actuator. The core control unit integrates a dynamic compensation module and a phase recognition module, wherein: The dynamic compensation unit is used to obtain the medium temperature and pipeline pressure in the operating parameters, and call the preset material characteristic database to calculate the volume correction coefficient, determine the correction requirement according to the preset correction threshold, and convert the operating volume flow rate into the standard volume flow rate in real time according to the correction requirement. Based on the flow rate difference between the operating volume flow rate and the standard volume flow rate, a correction instruction is generated and sent to the actuator. The specific process for calculating the volume correction factor is as follows: S101. Obtain real-time medium temperature Ta and pipeline pressure Pa through the field sensing layer, and call the preset material characteristic database to extract the corresponding standard density according to the current material type. and coefficient of thermal expansion; S102. Calculate the temperature correction factor according to the following formula: Where Ts is the standard transport temperature corresponding to the current material type. The coefficient of thermal expansion at the current temperature; the temperature correction factor is used to reflect the effect of temperature on volume. S103. Calculate the pressure correction factor according to the following formula: , where Ps is standard atmospheric pressure, F is the compressibility coefficient corresponding to the current material type, and the pressure correction factor is used to reflect the effect of pressure on volume; S104. The volume correction factor VCF is obtained through comprehensive calculation: .

[0019] The specific process for generating correction instructions is as follows: S201. Calculate the absolute value of the deviation based on the volume correction factor VCF and the reference value: , where 1 is the baseline value; S202. Obtain the preset correction threshold. If the absolute value of the deviation is less than or equal to the correction threshold, the influence of the current temperature and pressure on the measurement accuracy is within an acceptable range, and no signal is generated. If the absolute value of the deviation is greater than the correction threshold, then the impact of the current temperature and pressure on the measurement accuracy exceeds the acceptable range, and a correction demand signal is generated. S203. Obtain the correction demand signal and convert the operating condition volumetric flow rate Qa into the standard volumetric flow rate Qs in real time according to the following formula: ; Further generate flow difference ; If the flow rate difference is greater than 0, it means that the material is contracted due to cooling, and the actual amount of material flowing through is higher than the actual value. If the flow rate difference is less than 0, it means that the material expands due to cooling, and the actual amount of material flowing through is lower than the actual value. S204. Generate a correction instruction for the actuator based on the flow difference, the correction instruction being used to dynamically adjust the target cutoff amount for loading. The ultimate goal of the correction instructions is to load a fixed standard volume. The execution action is as follows: Assume the preset loading target is 1000L. If oil expansion is detected, the working condition flow meter may have already run 1000L, but the actual converted Qs is only 990L. At this time, the correction command generated by the core control unit is: "Extend valve opening time" or "Delay valve closing point". It automatically adjusts the valve closing setting value under operating conditions to 1000VCF, thereby ensuring that the material finally loaded into the compartment is exactly equal to 1000L after being converted back to the standard temperature.

[0020] The phase recognition module is used to obtain the real-time density in the operating parameters, and calculate the density change rate and the drive gain value of the flow meter based on the real-time density data. It judges the state of impurities in the current fluid according to the preset gas-liquid two-phase flow threshold. If there is gas in the current fluid, a gas removal command is generated and sent to the actuator. At the same time, the false flow rate in this time period is automatically deducted from the metering accumulation value.

[0021] The specific process for determining the state of impurities in the current fluid is as follows: S301, the core control unit reads a specific address from the mass flow meter register via the HART protocol, and converts the read raw value into a percentage form as follows: , where G(t) is the drive gain at the current moment, Ec is the current drive current, and Ex is the maximum drive current allowed by the device; S302, Preset a high-frequency sampling period And construct a sliding time window, and calculate the rate of change of density according to the following formula: ,in For the density at the current moment, The density is the density before n sampling periods, and the density change rate is used to reflect the severity of the oscillation in fluid density; S303, preset gain threshold, gain fluctuation threshold, density fluctuation threshold, and duration threshold. If any of the following conditions is met and exceeds the duration threshold, then it is determined that gas exists in the current fluid: The drive gain is greater than the set gain threshold. The current density is less than the standard density. ; The density change rate is less than the density fluctuation threshold and the driving gain is greater than the gain fluctuation threshold.

[0022] The gas removal command specifically includes: when gas is detected in the current fluid, a PID signal is sent to the multi-stage CNC valve to force the opening to be adjusted to the micro-flow exhaust position, and at the same time the exhaust valve is triggered to discharge the gas through the separator. When gas is detected, the current cumulative loading volume is immediately locked, and the flow increment between the time of recovery is automatically discarded. When the drive gain falls below the normal value and the density remains stable for a continuous metering period, the lock is released, and the multi-stage numerical control valve is instructed to restore the original loading flow rate and continue to accumulate metering.

[0023] It also includes an identity recognition module, which is used to verify the consistency between the driver's identity, the crane's position number and the delivery note through a facial recognition terminal, so as to generate a verification pass signal and send it to the execution agency.

[0024] This invention overcomes the limitations of traditional volumetric metering through its built-in dynamic compensation module. By utilizing real-time collected temperature and pressure data combined with a material characteristic database, it accurately calculates the volume correction coefficient, effectively eliminating metering errors caused by diurnal temperature differences, seasonal variations, and pressure fluctuations. It also solves the industry problem of difficulty in identifying gas-liquid two-phase flows, accurately identifying and automatically deducting false flow rates the instant gas mixes in. This effectively avoids the cavitation effect and pump cavitation caused by gas impact, significantly improving operational safety and equipment lifespan. The entire process, from condition monitoring and anomaly correction to precise shutdown, can be completed without manual intervention, significantly improving the efficiency and intelligent management level of industrial loading.

[0025] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.

[0026] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An industrial transportation quantitative loading control system based on core control, characterized in that, It includes a field perception layer, actuators, and a core control unit, among which: The field sensing layer is used to collect the operating parameters of the medium flowing through the loading pipeline in real time through a sensor group installed inside the pipeline. The operating parameters include instantaneous volumetric flow rate, medium temperature, pipeline pressure and real-time density, and are sent to the core control unit. The actuator includes a multi-stage CNC control valve and pumping equipment, used to control the flow rate and on / off state of the medium; The core control unit is used for bidirectional connection with the field sensing layer and the actuator. The core control unit integrates a dynamic compensation module and a phase recognition module, wherein: The dynamic compensation unit is used to obtain the medium temperature and pipeline pressure in the operating parameters, and call the preset material characteristic database to calculate the volume correction coefficient, determine the correction requirement according to the preset correction threshold, and convert the operating volume flow rate into the standard volume flow rate in real time according to the correction requirement. Based on the flow rate difference between the operating volume flow rate and the standard volume flow rate, a correction instruction is generated and sent to the actuator. The phase recognition module is used to obtain the real-time density in the operating parameters, and calculate the density change rate and the drive gain value of the flow meter based on the real-time density data. It judges the state of impurities in the current fluid according to the preset gas-liquid two-phase flow threshold. If there is gas in the current fluid, a gas removal command is generated and sent to the actuator. At the same time, the false flow rate in this time period is automatically deducted from the metering accumulation value.

2. The industrial transportation quantitative loading control system based on core control according to claim 1, characterized in that, It also includes an identity recognition module, which is used to verify the consistency between the driver's identity, the crane's position number and the delivery note through a facial recognition terminal, so as to generate a verification pass signal and send it to the execution agency.

3. The industrial transportation quantitative loading control system based on core control according to claim 1, characterized in that, The sensor group is connected to the main pipeline via a high-pressure metal hose, and the sensor group includes a mass flow meter, a temperature sensor, and a pressure transmitter. The mass flow meter is specifically a Coriolis flow meter, which is installed on a vertical pipe in the industrial transport metering system, and the flow direction is from bottom to top. The temperature sensor is specifically a sheathed platinum resistance thermometer, and the temperature sensor is set 5D-10D downstream of the mass flow meter, where D is the diameter of the vertical pipe. The pressure transmitter is specifically a smart pressure transmitter that supports HART, and the pressure tap of the pressure transmitter is located downstream of the mass flow meter.

4. The industrial transportation quantitative loading control system based on core control according to claim 1, characterized in that, The specific process for calculating the volume correction factor is as follows: S101. Obtain real-time medium temperature Ta and pipeline pressure Pa through the field sensing layer, and call the preset material characteristic database to extract the corresponding standard density according to the current material type. and coefficient of thermal expansion; S102. Calculate the temperature correction factor according to the following formula: Where Ts is the standard transport temperature corresponding to the current material type. The coefficient of thermal expansion at the current temperature; the temperature correction factor is used to reflect the effect of temperature on volume. S103. Calculate the pressure correction factor according to the following formula: , where Ps is standard atmospheric pressure, F is the compressibility coefficient corresponding to the current material type, and the pressure correction factor is used to reflect the effect of pressure on volume; S104. The volume correction factor VCF is obtained through comprehensive calculation: .

5. The industrial transportation quantitative loading control system based on core control according to claim 1, characterized in that, The specific process for generating correction instructions is as follows: S201. Calculate the absolute value of the deviation based on the volume correction factor VCF and the reference value: , where 1 is the baseline value; S202. Obtain the preset correction threshold. If the absolute value of the deviation is less than or equal to the correction threshold, the influence of the current temperature and pressure on the measurement accuracy is within an acceptable range, and no signal is generated. If the absolute value of the deviation is greater than the correction threshold, then the impact of the current temperature and pressure on the measurement accuracy exceeds the acceptable range, and a correction demand signal is generated. S203. Obtain the correction demand signal and convert the operating condition volumetric flow rate Qa into the standard volumetric flow rate Qs in real time according to the following formula: ; Further generate flow difference ; If the flow rate difference is greater than 0, it means that the material is contracted due to cooling, and the actual amount of material flowing through is higher than the actual value. If the flow rate difference is less than 0, it means that the material expands due to cooling, and the actual amount of material flowing through is lower than the actual value. S204. Generate a correction instruction for the actuator based on the flow difference. The correction instruction is used to dynamically adjust the target cutoff amount for loading.

6. The industrial transportation quantitative loading control system based on core control according to claim 1, characterized in that, The specific process for determining the state of impurities in the current fluid is as follows: S301, the core control unit reads a specific address from the mass flow meter register via the HART protocol, and converts the read raw value into a percentage form as follows: , where G(t) is the drive gain at the current moment, Ec is the current drive current, and Ex is the maximum drive current allowed by the device; S302, Preset a high-frequency sampling period And construct a sliding time window, and calculate the rate of change of density according to the following formula: ,in For the current density, The density is the density before n sampling periods, and the density change rate is used to reflect the severity of the oscillation in fluid density; S303, preset gain threshold, gain fluctuation threshold, density fluctuation threshold, and duration threshold. If any of the following conditions is met and exceeds the duration threshold, then it is determined that gas exists in the current fluid: The drive gain is greater than the set gain threshold. The current density is less than the standard density. ; The density change rate is less than the density fluctuation threshold and the driving gain is greater than the gain fluctuation threshold.

7. The industrial transportation quantitative loading control system based on core control according to claim 1, characterized in that, The gas removal command specifically includes: when gas is detected in the current fluid, a PID signal is sent to the multi-stage CNC valve to force the opening to be adjusted to the micro-flow exhaust position, and at the same time the exhaust valve is triggered to discharge the gas through the separator. When gas is detected, the current cumulative loading volume is immediately locked, and the flow increment between the time of recovery is automatically discarded. When the drive gain falls below the normal value and the density remains stable for a continuous metering period, the lock is released, and the multi-stage numerical control valve is instructed to restore the original loading flow rate and continue to accumulate metering.

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