Automatic management system for oil tank truck inventory

Abstract

The application provides an oil tank vehicle warehouse automatic management system, relates to the technical field of control and regulation systems, and can quickly and reasonably respond when the tank body has different degrees of sealing leakage risks, guarantee system safety and oil quality through a hierarchical water level alarm strategy; a sealing leakage influence factor generation module collects multiple parameters such as air pressure difference, humidity and VOC concentration, comprehensively evaluates the sealing state of the tank body, and detects leakage risks; a target wave breaker determination module dynamically adjusts the oil product monitoring mode according to real-time inclination data, and overcomes the measurement error caused by inclination; a fluctuation range simulation and comparison module provides an abnormality detection and alarm mechanism through actual and simulated data comparison and analysis; the introduction of a correction index makes the water level alarm strategy more targeted and accurate, reduces the false alarm rate, and improves the real-time accuracy and safety of oil product warehouse management.

Description

Technical Field

[0001] This invention relates to the field of control and regulation system technology, specifically to an automatic management system for tanker truck inventory. Background Technology

[0002] Traditional tanker truck inventory management systems, while meeting basic transportation needs, have gradually revealed shortcomings in data accuracy, real-time monitoring, and leak detection. In recent years, the introduction of IoT sensing and intelligent control technologies has provided new solutions for optimizing tanker truck management. Existing technologies typically rely on basic level sensors and averaging analysis methods to monitor the oil and water levels inside the tanker. However, these methods struggle to cope with the effects of tilting and potential leaks during dynamic transportation, thus limiting their effectiveness in harsh environments. To overcome these limitations, the industry is exploring system designs that combine multiple data sources and intelligent algorithms to improve the accuracy and safety of tanker truck inventory management.

[0003] In the prior art, publication number CN214586493U, entitled "An Intelligent Management System for Oil Transportation," applied to oil tankers, the system includes: a level detector connected to a data acquisition display for sending the acquired oil level height and related data affecting the level height to the data acquisition display; an electronic seal connected to the data acquisition display for sending the on / off status information of each valve in the oil tanker, acquired by sensors integrated into the intelligent valves, to the data acquisition display; and a data acquisition display connected to both the level detector and the electronic seal for receiving the level height, related data, and on / off status information sent by the level detector and the electronic seal. Based on the connection relationship between the level detector, the electronic seal, and the data acquisition display, data interaction is performed to achieve intelligent and systematic management of the entire oil transportation process, improving oil transportation efficiency and safety.

[0004] Existing liquid level monitoring systems mostly rely on static monitoring, lacking effective correction mechanisms for the tilting of tank trucks during transportation, leading to liquid level deviations and data misinterpretations. Secondly, current technology is relatively weak in monitoring sealing conditions; tank leakage detection is often limited to monitoring single factors, failing to achieve multi-parameter comprehensive analysis, thus affecting the accuracy of risk assessment. Particularly in comparing oil and water levels, traditional methods fail to effectively combine tilt data and sealing condition information for dynamic adjustment and accurate judgment.

[0005] The information disclosed in the background section above is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide an automated management system for oil tanker inventory to solve the problems mentioned in the background section.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] The automated oil tanker inventory management system specifically includes:

[0009] Data acquisition module: used to acquire stable baseline water level and comprehensive oil level measurements inside the tank when the tanker is in a static, horizontal state; and to calculate the baseline ratio between the baseline water level and the comprehensive oil level.

[0010] Seal Leakage Influence Factor Generation Module: Used to collect sealing status data of the gas phase space inside the tank during the current monitoring period, analyze the sealing status data, and generate sealing leakage influence factors;

[0011] Target breakwater baffle determination module: used to identify multiple breakwater baffles inside the tank used to divide the oil storage area. Adjacent breakwater baffles form a baffle space. The module also acquires the tank tilt data at the current monitoring time and determines the target breakwater baffle based on the tilt data.

[0012] Fluctuation Range Simulation Module: Used to simulate the simulated fluctuation range of the reference proportion value of oil in the space corresponding to the target baffle under different tilt data of the tank, so as to generate the simulated proportion fluctuation coefficient;

[0013] During the current monitoring period, the actual fluctuation range of the reference ratio of oil in the space corresponding to the target breakwater is used to obtain the actual ratio fluctuation coefficient.

[0014] The comparison and alarm module is used to compare and analyze the simulated proportional fluctuation coefficient, the actual proportional fluctuation coefficient, and the sealing leakage influencing factor to generate a correction index. The correction index is used to provide an adjustment basis for the benchmark proportional value and to formulate a water level alarm strategy for the oil tanker's inventory.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: Through a graded water level alarm strategy, the system can respond quickly and reasonably when the tank experiences varying degrees of sealing leakage risk, ensuring system safety and oil quality; the strategy settings ensure rapid response under high-risk conditions, while enabling cautious monitoring and response under medium-risk conditions, balancing system stability and response sensitivity; the sealing leakage influencing factor generation module comprehensively assesses the tank's sealing status and detects leakage risks by collecting multiple parameters such as air pressure difference, humidity, and VOC concentration; the target anti-surge baffle determination module dynamically adjusts the oil monitoring method based on real-time tilt data, overcoming measurement errors caused by tilt; the fluctuation range simulation and comparison module provides anomaly detection and alarm mechanisms through comparison and analysis of actual and simulated data, significantly improving early warning capabilities; the introduction of the correction index makes the water level alarm strategy more targeted and accurate, reducing false alarm rates and improving the real-time accuracy and safety of oil inventory management. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the overall system flow of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0018] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0019] Example 1:

[0020] Please see Figure 1 The present invention provides a technical solution:

[0021] The automatic management system for oil tanker inventory is used for water level management within oil tanker inventory, specifically including:

[0022] Data acquisition module: used to acquire stable baseline water level and comprehensive oil level measurements inside the tank when the tanker is in a static, horizontal state; and to calculate the baseline ratio between the baseline water level and the comprehensive oil level.

[0023] Further explanation: The benchmark water level measurement reflects the height of the water layer at the bottom of the oil tank;

[0024] Record the total height of the combined oil and water layers using comprehensive oil level measurements.

[0025] Determine sensor locations: Install a water level sensor at the center of the bottom of the tanker truck to measure the baseline water level; install a liquid level sensor at the top of the tanker truck to measure the overall liquid level of the oil.

[0026] Sensor calibration: The sensor is calibrated using a standard liquid of known height to ensure measurement accuracy; the calibration method includes immersing the sensor in a standard liquid of known level and adjusting the sensor output to match the standard value.

[0027] Start the data acquisition system: With the tanker truck stationary, start the data acquisition system to begin recording sensor data in real time.

[0028] Data acquisition of reference water level: Read the output signal of the water level sensor and record the reference water level measurement value. , Indicates the height of the water layer at the bottom of the oil tank;

[0029] Collect comprehensive liquid level data: Read the output signal of the liquid level sensor and record the comprehensive liquid level measurement value of the oil. , This indicates the total height after the oil and water layers are combined.

[0030] The benchmark ratio value is denoted as The calculation formula is as follows:

[0031]

[0032] in, It is a baseline water level measurement, reflecting the height of the water layer inside the tank; It is a comprehensive oil level measurement value, recording the total height of oil in the tank; It is a benchmark ratio value; representing the ratio of the benchmark water level measurement value to the comprehensive oil level measurement value;

[0033] The calculated baseline ratio value The data is displayed in the monitoring system for easy viewing by operators, and the collected and calculated data is uploaded to the cloud storage system to provide a basis for subsequent analysis and historical data retrieval.

[0034] Seal Leakage Influence Factor Generation Module: Used to collect sealing status data of the gas phase space inside the tank during the current monitoring period, analyze the sealing status data, and generate sealing leakage influence factors;

[0035] To further explain, the sealing status data includes: the pressure difference between the inside and outside of the tank, the humidity value inside the tank, and the VOC concentration value outside the tank;

[0036] During the current monitoring period, the sealing status data will be collected multiple times;

[0037] Pressure sensors are installed inside and outside the tank to measure the pressure difference between the inside and outside of the tank.

[0038] A humidity sensor is installed inside the tank to monitor changes in humidity levels inside the tank.

[0039] A VOC sensor is installed inside the tank to monitor changes in VOC concentration.

[0040] The following sealing leakage influencing factors were obtained by weighting and synthesizing the sealing condition data. :

[0041]

[0042] in, , , These are empirical weighting coefficients used to balance the contributions of various data points. , , The values ​​all fall within the interval (0,1); and ;

[0043] It is the pressure difference between the inside and outside of the tank; This is the humidity level inside the tank; It is the VOC concentration value outside the tank; , and These are the warning thresholds for the internal air pressure, internal humidity, and internal VOC concentration of the tank. , , and , and The corresponding weights are determined using the entropy weight method and the fuzzy hierarchical analysis method (FAHP). , and Data were collected at the same monitoring time.

[0044] This is a typical atmospheric pressure difference value (e.g., 1013.25 hPa), or the maximum internal and external pressure difference allowed by the system design of this embodiment;

[0045] Use the theoretical or empirical limit humidity inside the tank;

[0046] The maximum acceptable VOC concentration under standard environmental conditions is selected as the benchmark, or the expected VOC value under normal operating conditions.

[0047] when or or When the value equals 1, it indicates that the pressure difference between the inside and outside of the tank, the humidity value inside the tank, and the VOC concentration value inside the tank are in a critical state, respectively.

[0048] when or or A value greater than 1 indicates a risk of seal leakage in the tank; the higher the value, the greater the risk of seal leakage, and the corresponding seal leakage impact factor. The larger the value.

[0049] To verify the effectiveness and innovation of the "Sealing Leakage Influence Factor Generation Module" in the "Automatic Management System for Tank Truck Inventory" of this invention, a series of experiments were designed to simulate and evaluate leakage risks under different sealing conditions. The specific experimental preparation and implementation process is as follows:

[0050] Pressure sensors, humidity sensors, and VOC (volatile organic compound) sensors are installed both inside and outside the tank of the oil tanker to monitor the sealing status of the tank in real time. The specific configuration is as follows:

[0051] Pressure sensor: Installed inside and outside the tank to measure the pressure difference between the inside and outside of the tank (unit: hPa).

[0052] Humidity sensor: Installed inside the tank to monitor the humidity level inside the tank (unit: %RH).

[0053] VOC sensor: Installed on the outside of the tank to monitor the VOC concentration (unit: ppm) outside the tank.

[0054] In addition, the system is equipped with a data acquisition module, which is used to collect data from the above sensors at regular intervals during the predetermined monitoring period and input the data into the "Sealing Leakage Influence Factor Generation Module" for processing.

[0055] During the monitoring period, multiple data acquisitions were conducted to obtain sealing status data under different operating conditions. Based on actual operational needs, three typical monitoring time points were selected to simulate tank conditions under different sealing states, including normal state, medium leakage risk, and high leakage risk.

[0056] Based on the collected sealing condition data, the sealing leakage impact factor is calculated using the following formula. :

[0057]

[0058] Among them, the empirical weighting coefficient , , These parameters respectively reflect the weights of air pressure difference, internal humidity level of the tank, and VOC concentration in the risk of seal leakage; the threshold settings for each parameter are as follows:

[0059] Pressure difference threshold inside and outside the tank Unit: hPa

[0060] Internal humidity threshold of the tank ;

[0061] VOC concentration threshold outside the tank Unit: ppm;

[0062] Based on calculations The system assesses and responds to risks based on preset alarm strategies.

[0063] when When the water level reaches or exceeds 1, a Level 1 water level alarm is triggered, indicating a high-risk leak.

[0064] when When the water level is between 0.7 and 1, a level 2 water level alarm strategy is triggered, indicating a medium-risk leak.

[0065] By recording and analyzing test data under different operating conditions, the accuracy and response speed of the sealing leakage influencing factor generation module were evaluated. Experimental results show that this module has high accuracy and reliability in identifying and assessing leakage risks, and can respond promptly to leakage risks of varying degrees, ensuring the safe management of tanker truck inventory.

[0066] This data is based on information collected and calculated by the sealing leakage impact factor generation module. The table includes the pressure difference between the inside and outside of the tank. Humidity value inside the tank VOC concentration value outside the tank Factors affecting sealing leakage And the corresponding risk level.

[0067] Table 1. Application of the Seal Leakage Influence Factor Generation Module:

[0068]

[0069] The data from the above embodiments demonstrate that the "Sealing Leakage Influence Factor Generation Module" of the present invention can effectively distinguish leakage risks under different sealing conditions. Compared to traditional single-parameter monitoring methods, this module comprehensively considers three key parameters—the pressure difference between the inside and outside of the tank, the humidity value inside the tank, and the VOC concentration value outside the tank—and assigns different weighting coefficients, thereby more accurately reflecting the actual leakage risk. Specific advantages include:

[0070] 1. Comprehensive assessment: Multi-parameter comprehensive analysis improves the comprehensiveness and accuracy of risk assessment and avoids misjudgment that may be caused by a single parameter.

[0071] 2. Dynamic Response: Based on real-time monitoring data, the system dynamically calculates the influencing factors of sealing leakage, enabling real-time monitoring and rapid response to the sealing status of the tank.

[0072] 3. High flexibility: By adjusting the weighting coefficients , , The system can adapt to different tank structures and operating environments, and has a high degree of adaptability.

[0073] 4. Improved early warning mechanism: The tiered alarm strategy (Level 1 and Level 2 alarms) enables the system to take corresponding measures under different risk levels to ensure the safe management of tanker trucks.

[0074] Target breakwater baffle determination module: used to identify multiple breakwater baffles inside the tank used to divide the oil storage area. Adjacent breakwater baffles form a baffle space, and the module obtains the tank tilt data at the current monitoring time, and determines the target breakwater baffle based on the tilt data.

[0075] Further explanation: The target breakwater was determined based on the tilt data, specifically as follows:

[0076] Identifying breakwater barriers:

[0077] Inside the tanker truck, multiple anti-surge baffles are identified by RFID tags installed on the baffles to ensure the unique identification of each baffle;

[0078] When the system starts up, it reads all RFID tag information to form an initial partition list structure, which is then stored in the central control unit.

[0079] A high-precision triaxial tilt sensor is installed inside the tank, and the triaxial tilt sensor collects tilt data at the current monitoring time;

[0080] Tilt data, including: longitudinal tilt angle and lateral tilt angle ;

[0081] According to the longitudinal tilt angle and lateral tilt angle The target wave shield is determined by the area where oil is concentrated inside the tank and the corresponding wave shield.

[0082]

[0083] It is the effective volume of the space corresponding to the breakwater baffle i in the current tilt state; i represents the index mark of the breakwater baffle, and ; Positive integers; function This reflects the effect of the tilt angle on oil distribution.

[0084] For all monitored breakwaters, calculate the effective volume of the space corresponding to each breakwater under the current tilt data;

[0085] The breakwater baffle most affected by oil distribution was selected as the target breakwater baffle. The largest breakwater barrier, and the index of the selected target breakwater barrier is recorded as i1. .

[0086] It should be noted that the effective volume in this embodiment is determined based on the space separated by the baffle on the left side of the breakwater baffle;

[0087] This embodiment provides the following specific calculation formulas. ;

[0088]

[0089] Where K is the calibration coefficient, which is determined based on experimental data.

[0090] Effective volume This refers to the volume occupied by oil in the space corresponding to the breakwater baffle i under the current tilted state;

[0091] The tilt angle causes the oil to redistribute within the tank; the current tilt angle, including the longitudinal tilt angle, is measured using tilt sensor data. and lateral tilt angle .

[0092] Based on the current tilt angle, the geometric model is adjusted, the free surface of the oil under this state is calculated, and the actual effective containment volume of the partition space is obtained.

[0093]

[0094] in: It is the volume occupied by the oil in the space corresponding to the wave-breaking baffle i in a horizontal static state; It is the maximum height of the oil level in the space corresponding to the wave-breaking baffle i under the current tilt state; It is the maximum height of the oil level in the baffle space corresponding to the wave-breaking baffle i when it is in a horizontal state;

[0095] Update the information of the target breakwater (such as RFID tag, location, and effective volume under tilt) to the central control database.

[0096] The system sends target partition information to the driver's display interface and remote monitoring center, providing real-time oil status and inventory management information. The real-time update and information output mechanism ensures that managers and operators can make quick decisions, improving the safety and efficiency of oil transportation.

[0097] Fluctuation Range Simulation Module: Used to simulate the simulated fluctuation range of the reference proportion value of oil in the space corresponding to the target baffle under different tilt data of the tank, so as to generate the simulated proportion fluctuation coefficient;

[0098] During the current monitoring period, the actual fluctuation range of the reference ratio of oil in the space corresponding to the target breakwater is used to obtain the actual ratio fluctuation coefficient.

[0099] Further explanation: Regarding the acquisition of the simulation proportional fluctuation coefficient: Based on the baffle space corresponding to the target breakwater baffle, the dynamic distribution of oil is simulated in a three-dimensional model. The simulation conditions include:

[0100] Tilt data: Vertical tilt angle and lateral tilt angle ;

[0101] Static base value: benchmark scale value ;

[0102] The volume limitations and location of the breakwater barrier.

[0103] The response of the oil distribution in the space corresponding to the target breakwater baffle to the tilt angle was simulated by CFD (Computational Fluid Dynamics) simulation.

[0104] Determine the longitudinal tilt angle corresponding to the tilt data. and lateral tilt angle The numerical range for the longitudinal tilt angle and lateral tilt angle Arbitrary combinations can be made to generate different skewed data;

[0105] Record the comprehensive oil level measurement value in the space corresponding to the target wave-breaking baffle i1 under different tilt data. and benchmark water level measurement value Calculate the simulated reference scale value within the space corresponding to the target breakwater i1. :

[0106]

[0107] It should be noted that the comprehensive oil level measurement value and benchmark water level measurement value It is obtained by averaging the values ​​corresponding to the maximum and minimum heights of the oil level in the current tilted state of the corresponding partition space;

[0108] Obtain the simulation baseline scale value under different tilt data. and record Simulated fluctuation range:

[0109]

[0110] in, and These are the maximum and minimum values ​​in the simulated baseline scale; Characterization and The difference in the simulated fluctuation range;

[0111] Define the simulated proportional fluctuation coefficient of the space corresponding to the target breakwater i1 as follows: , The calculation formula is:

[0112]

[0113] when When the value increases, due to the base ratio value A pre-calculated constant value; this will lead to As the value increases, A larger value indicates a higher baseline ratio. The greater the fluctuation range.

[0114] Regarding the acquisition of the actual proportional fluctuation coefficient:

[0115] Under the current monitoring conditions, obtain the actual comprehensive oil level measurement value of the space where the target wave-breaking baffle i1 is located. and actual benchmark water level measurement value ;

[0116] Calculate the actual reference ratio value within the space corresponding to the target breakwater i1. :

[0117]

[0118] It should be noted that the comprehensive oil level measurement value and benchmark water level measurement value It is obtained by averaging the values ​​corresponding to the maximum and minimum heights of the oil level in the current tilted state of the corresponding partition space;

[0119] Calculate the actual fluctuation range of the actual benchmark ratio:

[0120]

[0121] in, and These are the maximum and minimum values ​​of the actual baseline ratio within the monitoring period; It is the difference between the actual fluctuation range;

[0122] Define the actual proportional fluctuation coefficient of the space corresponding to the target breakwater i1 as:

[0123]

[0124] in, It is the actual proportional fluctuation coefficient of the space corresponding to the target wave-breaking baffle i1.

[0125] when When the value increases, due to the base ratio value A pre-calculated constant value; this will lead to As the value increases, A larger value indicates a higher baseline ratio. The greater the fluctuation range.

[0126] The comparison and alarm module compares and analyzes the simulated proportional fluctuation coefficient, the actual proportional fluctuation coefficient, and the sealing leakage influencing factor to generate a correction index. The correction index is used to provide an adjustment basis for the benchmark proportional value and to formulate a water level alarm strategy for the oil tanker's inventory.

[0127] Further explanation: The formula for calculating the correction index of the space corresponding to the target breakwater i1 is as follows:

[0128]

[0129] in, It is the correction index for the space corresponding to the target breakwater i1. It is a fine-tuning factor;

[0130] when or or If there exists at least one value equal to 1, and none of the other values ​​exceed 1, This indicates that the internal seal of the tank is at a critical state of leakage, and the probability of leakage is moderate. The baseline ratio value is adjusted slightly as follows:

[0131]

[0132] in, This is the adjusted baseline ratio value;

[0133] It should be noted that when or or If at least one value equals 1, it indicates that one of the following conditions—the pressure difference between the inside and outside of the tank, the humidity value inside the tank, and the VOC concentration value outside the tank—is equal to the corresponding warning threshold. In this case, it indicates a moderate risk of leakage in the tank, therefore a warning is set. This is used to quickly distinguish the current tank leakage risk level, while The settings enable The output value is adjusted slightly relative to the baseline ratio. This setting is intended to prevent external rainwater or humid gas from entering the tank unless a leak is confirmed, thus eliminating the need for significant adjustments to the baseline ratio. However, condensation may occur in the gas phase space inside the tank under ambient temperature and other conditions, or there may be pre-existing but undeposited moisture in the oil. Therefore, a slight adjustment to the baseline ratio is necessary. A two-level water level alarm strategy is implemented.

[0134] when , , When both are less than 1, This indicates that the probability of internal leakage in the tank is low; no adjustment is made based on the baseline ratio.

[0135] It should be noted that, due to , , When both are less than 1, it indicates that the pressure difference between the inside and outside of the tank, the humidity value inside the tank, and the VOC concentration value outside the tank are below the corresponding warning thresholds. This indicates that the risk of sealing leakage inside the tank is low. Therefore, under the premise that no external moisture enters the inside of the tank, there is no need to adjust the benchmark ratio value; at this time, there is no need to trigger a water level alarm.

[0136] when or or When there is at least one value greater than 1, This indicates a high probability of internal seal leakage within the tank; if At this time, it indicates that there is a risk of seal leakage, but external moisture has not entered the tank. The settings enable The value is extremely large, which facilitates rapid analysis of situations where the probability of internal sealing leakage in the tank is high.

[0137] like When, it represents the baseline scale value. The increased volatility necessitates the following adjustments to the benchmark ratio:

[0138]

[0139] in, and These are the maximum and minimum values ​​of the actual baseline ratio within the monitoring period, respectively.

[0140] It should be noted that, This means averaging the maximum and minimum values ​​of the actual baseline ratio, then adding the baseline ratio values ​​and averaging again to obtain the adjusted baseline ratio value.

[0141] because or or If at least one value is greater than 1, it indicates that at least one value of the pressure difference between the inside and outside of the tank, the humidity value inside the tank, and the VOC concentration value outside the tank are above the corresponding warning threshold, indicating a high risk of sealing leakage inside the tank. In this case, assuming external moisture enters the tank, if... In such cases, the baseline ratio needs to be significantly adjusted to address situations where external moisture enters the tank due to seal leaks; a first-level water level alarm strategy should be implemented.

[0142] In this embodiment, the numerical ranges for low, medium, and high probability of sealing leakage are set to [0%, 20%), [20%, 50%), and [50%, 100%], respectively.

[0143] Explanation of the Level 2 water level alarm strategy:

[0144] Triggering condition: When any monitored value of the sealing leakage impact factor (pressure difference, internal humidity value, external VOC concentration) is equal to 1, the tank has a moderate leakage risk.

[0145] Strategy content:

[0146] 1. Slightly adjust the benchmark ratio value:

[0147] Adjust the baseline ratio to address potential condensation or previously undeposited moisture inside the tank.

[0148] The adjustment amount is set at 5% of the baseline value to ensure the accuracy and adaptability of the adjustment.

[0149] 2. Alarm prompt:

[0150] Trigger visual and audible alarm devices to alert operators to potential moderate risks.

[0151] The display screen shows detailed monitoring data (humidity, air pressure difference, VOC concentration) and current baseline ratio adjustment information;

[0152] 3. Increased monitoring frequency:

[0153] Strengthen the frequency of relevant monitoring parameters collection and shorten the data collection interval to capture changing trends more quickly; increase the collection frequency from once every 10 minutes to once every 5 minutes to capture changing trends and provide a more timely response.

[0154] 4. Recommended checks:

[0155] It is recommended that operators conduct daily inspections of the tank structure to ensure that the system is operating normally and shows no signs of deterioration.

[0156] Explanation of the Level 1 water level alarm strategy:

[0157] Triggering condition: When any monitored value of the seal leakage factor (pressure difference, internal humidity value, external VOC concentration) is greater than 1.

[0158] Risk assessment: The risk of leakage from the seal inside the tank is high, which could allow external moisture to enter the tank.

[0159] Strategy content:

[0160] 1. Significantly adjust the benchmark ratio:

[0161] At that time, significant adjustments should be made to compensate for changes in the baseline ratio caused by potentially large amounts of external moisture entering the tank; specifically, a 20% adjustment to the baseline ratio is required to correct significant changes in external moisture and ensure the accuracy of the liquid level reading.

[0162] 2. Advanced Alarm Prompts:

[0163] Activate a strong visual and audible alarm system to ensure that on-site operators are immediately alerted and can respond.

[0164] The alarm is highlighted on the main screen of the operations control center, and mobile communication alerts are automatically sent in addition to the information displayed on the screen.

[0165] 3. Emergency Response Measures:

[0166] Automatically execute emergency shutdown or leak repair commands to isolate the source of the leak.

[0167] Activate the automatic drainage system to remove excess water or other unwanted hazardous substances from the tank.

[0168] 4. Manual inspection and reporting:

[0169] An immediate on-site manual inspection is required to confirm the validity of the high-risk alerts issued by the system.

[0170] Submit a detailed report, including possible causes of the leak and recommendations for subsequent remediation actions.

[0171] The beneficial effects of this embodiment are as follows: This tiered water level alarm strategy enables a rapid and appropriate response when the tank experiences varying degrees of sealing leakage risk, ensuring system safety and oil quality. The strategy ensures a quick response in high-risk situations, while allowing for careful monitoring and response in medium-risk situations, thus balancing system stability and response sensitivity.

[0172] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0173] If a function is implemented as 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 this invention, or the part that contributes to the prior art, or a part of the 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0174] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0175] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0176] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc. 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 it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0177] 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 it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An automatic management system for oil tanker inventory, applied to water level management within oil tanker inventory, characterized in that: Specifically, it includes: Data acquisition module: used to acquire stable baseline water level and comprehensive oil level measurements inside the tank when the tank of the oil tanker is in a static, horizontal state; Calculate the baseline ratio between the baseline water level measurement and the comprehensive oil level measurement; Seal Leakage Influence Factor Generation Module: Used to collect sealing status data of the gas phase space inside the tank during the current monitoring period, analyze the sealing status data, and generate sealing leakage influence factors; Target breakwater baffle determination module: used to identify multiple breakwater baffles inside the tank used to divide the oil storage area. Adjacent breakwater baffles form a baffle space. The module also acquires the tank tilt data at the current monitoring time and determines the target breakwater baffle based on the tilt data. Fluctuation Range Simulation Module: Used to simulate the simulated fluctuation range of the reference proportion value of oil in the space corresponding to the target baffle under different tilt data of the tank, so as to generate the simulated proportion fluctuation coefficient; During the current monitoring period, the actual fluctuation range of the reference ratio of oil in the space corresponding to the target breakwater is used to obtain the actual ratio fluctuation coefficient. The comparison and alarm module is used to compare and analyze the simulated proportional fluctuation coefficient, the actual proportional fluctuation coefficient, and the sealing leakage influencing factor, generate a correction index, and use the correction index to provide an adjustment basis for the benchmark proportional value and formulate a water level alarm strategy for the oil tanker's inventory. The formula for calculating the correction index of the space corresponding to the target breakwater i1 is as follows: ； in, It is the correction index for the space corresponding to the target breakwater i1. It is a factor affecting sealing leakage. It is a fine-tuning factor; and These are the simulated proportional fluctuation coefficient and the actual proportional fluctuation coefficient of the space corresponding to the target wave-breaking baffle i1, respectively. when or or If there exists at least one value equal to 1, and none of the other values ​​exceed 1, ;in It is the pressure difference between the inside and outside of the tank; This is the humidity level inside the tank; It is the VOC concentration value outside the tank; , and These are the warning thresholds for the internal air pressure, internal humidity, and internal VOC concentration of the tank. This indicates that the internal sealing of the tank is at a critical state, with a moderate probability of leakage; a two-level water level alarm strategy is implemented; the baseline ratio value is adjusted slightly as follows: ； in, This is the adjusted baseline ratio value. This is the baseline ratio value; when , , When both are less than 1, This indicates that the probability of internal sealing leakage in the tank is low; no adjustment is needed based on the baseline ratio value; no water level alarm is required at this time. when or or When there is at least one value greater than 1, This indicates a high probability of internal sealing leakage in the tank, triggering a Level 1 water level alarm. like At this time, it indicates that there is a risk of seal leakage, but external moisture has not entered the tank. like When, it represents the baseline scale value. The increased volatility necessitates the following adjustments to the benchmark ratio: ； in, and These are the maximum and minimum values ​​of the actual baseline ratio within the monitoring period, respectively.

2. The automatic inventory management system for oil tankers according to claim 1, characterized in that: The benchmark ratio value is denoted as The calculation formula is as follows: ； in, This is the baseline water level measurement value. This is the comprehensive liquid level measurement value of the oil product.

3. The automatic inventory management system for oil tankers according to claim 2, characterized in that: Sealing status data includes: pressure difference between the inside and outside of the tank, humidity inside the tank, and VOC concentration outside the tank; During the current monitoring period, the sealing status data will be collected multiple times; The following sealing leakage influencing factors were obtained by weighting and synthesizing the sealing condition data. : ； in, , , These are empirical weighting coefficients used to balance the contributions of various data points. , , The values ​​all fall within the interval (0,1); and ; when or or When the value equals 1, it indicates that the pressure difference between the inside and outside of the tank, the humidity value inside the tank, and the VOC concentration value inside the tank are in a critical state, respectively. when or or A value greater than 1 indicates a risk of seal leakage in the tank; the higher the value, the greater the risk of seal leakage, and the corresponding seal leakage impact factor. The larger the value.

4. The automatic inventory management system for oil tankers according to claim 3, characterized in that: The target breakwater was determined based on the tilt data, specifically as follows: Tilt data, including: longitudinal tilt angle and lateral tilt angle ; According to the longitudinal tilt angle and lateral tilt angle The target wave shield is determined by the area where oil is concentrated inside the tank and the corresponding wave shield. ； It is the effective volume of the space corresponding to the breakwater baffle i in the current tilt state; i represents the index mark of the breakwater baffle, and ; Positive integers; function This reflects the effect of the tilt angle on oil distribution. Calculate the effective volume of the space corresponding to each breakwater baffle under the current tilt data; The breakwater baffle most affected by oil distribution was selected as the target breakwater baffle. The largest breakwater barrier, and the index of the selected target breakwater barrier is recorded as i1. .

5. The automatic inventory management system for oil tankers according to claim 4, characterized in that: For obtaining the simulated proportional fluctuation coefficient: Record the comprehensive oil level measurement value in the space corresponding to the target wave-breaking baffle i1 under different tilt data. and benchmark water level measurement value Calculate the simulated reference scale value within the space corresponding to the target breakwater i1. : ； Obtain the simulation baseline scale value under different tilt data. and record Simulated fluctuation range: ； in, and These are the maximum and minimum values ​​in the simulated baseline scale; Characterization and The difference in the simulated fluctuation range; Define the simulated proportional fluctuation coefficient of the space corresponding to the target breakwater i1 as follows: , The calculation formula is: ； Regarding the acquisition of the actual proportional fluctuation coefficient: Under the current monitoring conditions, obtain the actual comprehensive oil level measurement value of the space where the target wave-breaking baffle i1 is located. and actual benchmark water level measurement ; Calculate the actual reference ratio value within the space corresponding to the target breakwater i1. : ； Calculate the actual fluctuation range of the actual benchmark ratio: ； in, and These are the maximum and minimum values ​​of the actual baseline ratio within the monitoring period; It is the difference between the actual fluctuation range; Define the actual proportional fluctuation coefficient of the space corresponding to the target breakwater i1 as: ； in, It is the actual proportional fluctuation coefficient of the space corresponding to the target wave-breaking baffle i1.

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