Automatic inventory management system for oil tank truck

Abstract

The invention provides an automatic inventory management system for an oil tank truck, and relates to the technical field of control and regulation systems, and the system can quickly and reasonably respond to guarantee system safety and oil quality through a graded water level alarm strategy when sealing leakage risks of different degrees occur to a tank body; the sealing leakage influence factor generation module comprehensively evaluates the sealing state of the tank body and detects the leakage risk by collecting multiple parameters such as air pressure difference, humidity and VOC concentration; the target wave-proof partition plate determination module dynamically adjusts an oil product monitoring mode according to the real-time inclination data, and overcomes measurement errors caused by inclination; the fluctuation range simulation and comparison module provides an anomaly detection and alarm mechanism through comparative analysis of actual and simulated data; the introduction of the correction index enables the water level alarm strategy to be more targeted and accurate, reduces the false alarm rate, and improves the real-time accuracy and safety of oil inventory management.

Description

Technical Field

[0001] The present invention relates to the technical field of control and regulation systems, and more specifically to an automatic inventory management system for oil tank trucks. Background Art

[0002] While traditional oil tank truck inventory management systems meet basic transportation needs, they are gradually revealing deficiencies in data accuracy, real-time monitoring, and leak detection. In recent years, the introduction of Internet of Things (IoT) sensing technology and intelligent control technology has provided new solutions for optimizing the management of oil tank trucks. Existing technologies typically rely on basic liquid level sensors and mean analysis methods to monitor the oil products and water levels inside oil tank trucks. However, these methods are difficult to cope with the tilting effects and potential leakage risks during the dynamic transportation of oil tank trucks, and thus their performance in harsh environments is limited. 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 oil tank truck inventory management.

[0003] In the prior art, the publication number is CN214586493U, and the name is an intelligent management system for oil product transportation, which is applied to oil tank trucks and includes: a liquid level detector connected to a data acquisition display for sending the liquid level height of the oil products inside the oil tank truck and associated data affecting the liquid level height to the data acquisition display; an electronic seal connected to the data acquisition display for sending the on-off state information of each valve in the oil tank truck obtained by using sensors integrated in the intelligent valve to the data acquisition display; a data acquisition display respectively connected to the liquid level detector and the electronic seal for receiving the liquid level height, associated data sent by the liquid level detector, and the on-off state information sent by the electronic seal; and based on the connection relationship among the liquid level detector, the electronic seal, and the data acquisition display, data interaction is carried out to realize the intelligent and systematic management of the whole process of oil product transportation, and improve the efficiency and safety of oil product transportation.

[0004] Existing liquid level monitoring systems mostly rely on static monitoring, lacking an effective correction mechanism for the tilting state of oil tank trucks during transportation, resulting in liquid level deviation and data misreading; secondly, the prior art is relatively weak in monitoring the sealing state, and the detection of tank leakage is mostly limited to the monitoring of a single factor, failing to achieve comprehensive multi-parameter analysis, which affects the accuracy of risk assessment. Especially in the comparison between oil products and water levels, traditional methods fail to effectively combine tilting data and sealing state information for dynamic adjustment and accurate judgment.

[0005] The above information disclosed in the background art section is only used to enhance the understanding of the background of the present disclosure, and thus it may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide an automatic management system for the inventory of oil tank trucks to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The automatic management system for the inventory of oil tank trucks specifically includes:

[0009] A data acquisition module: used to obtain the stable reference water level measurement value and the comprehensive liquid level measurement value of the oil product in the tank when the tank body of the oil tank truck is in a static horizontal state; calculate the reference ratio value between the reference water level measurement value and the comprehensive liquid level measurement value of the oil product.

[0010] A sealing leakage influence factor generation module: used to collect the sealing state data of the gas phase space in the tank during the current monitoring time period, analyze based on the sealing state data, and generate a sealing leakage influence factor.

[0011] A target anti-wave baffle determination module: used to identify multiple anti-wave baffles in the tank for dividing the oil product inventory, the space between adjacent anti-wave baffles forms a baffle space, and obtain the inclination data of the tank body at the current monitoring moment, and determine the target anti-wave baffle based on the inclination data.

[0012] A fluctuation range simulation module: used to simulate the simulated fluctuation range of the reference ratio value of the oil product in the baffle space corresponding to the target anti-wave baffle under different inclination data of the tank body to generate a simulated ratio fluctuation coefficient.

[0013] During the current monitoring time period, it is used to obtain the actual fluctuation range of the reference ratio value of the oil product in the baffle space corresponding to the target anti-wave baffle to generate an actual ratio fluctuation coefficient.

[0014] A comparison and alarm module: used to compare and analyze the simulated ratio fluctuation coefficient, the actual ratio fluctuation coefficient and the sealing leakage influence factor to generate a correction index, the correction index is used to provide an adjustment basis for the reference ratio value, and formulate a water level alarm strategy for the oil product inventory of the oil tank truck.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: Through the hierarchical water level alarm strategy, the system can respond quickly and reasonably when there are different degrees of sealed leakage risks in the tank body, ensuring system safety and oil product quality; The strategy setting ensures a quick response in high-risk situations, while achieving careful monitoring and response in medium-risk situations, balancing system stability and response sensitivity; The sealed leakage impact factor generation module comprehensively evaluates the sealed state of the tank body and detects leakage risks by collecting multiple parameters such as air pressure difference, humidity, and VOC concentration; The target anti-wave baffle determination module dynamically adjusts the oil product monitoring method based on real-time tilt data, overcoming measurement errors caused by tilting; The fluctuation range simulation and comparison module provides an anomaly detection and alarm mechanism through the comparison and analysis of actual and simulated data, significantly improving the early warning ability; The introduction of the correction index makes the water level alarm strategy more targeted and accurate, reducing the false alarm rate and improving the real-time accuracy and safety of oil product inventory management. Brief Description of the Drawings

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

[0017] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the following further details the present invention in combination with specific embodiments.

[0018] It should be noted that unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meanings understood by those with ordinary skills in the field to which the present invention belongs. The "first", "second", and similar terms used in the present invention do not indicate any order, quantity, or importance, but are only used to distinguish different components. The terms such as "including" or "comprising" mean that the elements or objects appearing before this word cover the elements or objects listed after this word and their equivalents, without excluding other elements or objects. The terms such as "connected" or "linked" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The terms such as "upper", "lower", "left", and "right" are only used to represent relative position relationships, and when the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0019] Embodiment 1:

[0020] Please refer to Figure 1 , the present invention provides a technical solution:

[0021] An automatic inventory management system for oil tank trucks, which is applied to the water level management in the inventory of oil tank trucks, specifically includes:

[0022] Data acquisition module: used to obtain the stable reference water level measurement value and the comprehensive liquid level measurement value of the oil product in the tank body when the tank body of the oil tanker is in a static horizontal state; calculate the reference ratio value of the reference water level measurement value and the comprehensive liquid level measurement value of the oil product;

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

[0024] The comprehensive liquid level measurement value of the oil product records the total height after the oil layer and the water layer are combined;

[0025] Determine the sensor position: Install a water level sensor at the central position of the bottom of the tank body of the oil tanker to measure the reference water level; install a liquid level sensor at the top of the tank body to measure the comprehensive liquid level of the oil product;

[0026] Calibrate the sensor: Calibrate the sensor with a standard liquid of known height to ensure the accuracy of the measurement; the calibration method includes immersing the sensor in the standard liquid of known liquid level and adjusting the sensor output to make it consistent with the standard value.

[0027] Start the data acquisition system: When the oil tanker is in a static state, start the data acquisition system to start real-time recording of sensor data.

[0028] Collect reference water level data: Read the output signal of the water level sensor and record the reference water level measurement value , indicating 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 product , indicating the total height after the oil product and the water layer are combined.

[0030] Record the reference ratio value as , and the calculation formula is as follows:

[0031]

[0032] where is the reference water level measurement value, reflecting the height of the water layer in the tank body; is the comprehensive liquid level measurement value of the oil product, recording the total height of the oil product in the tank body; is the reference ratio value; characterizing the ratio of the reference water level measurement value to the comprehensive liquid level measurement value of the oil product;

[0033] Display the calculated reference ratio value in the monitoring system for easy viewing by the operator, and at the same time upload the collected and calculated data to the cloud storage system to provide a basis for subsequent analysis and historical data query.

[0034] Seal leakage impact factor generation module: It is used to collect the seal status data in the gas phase space of the tank within the current monitoring time period, analyze based on the seal status data, and generate the seal leakage impact factor;

[0035] Further explanation, the seal status data includes: the air pressure difference inside and outside the tank, the humidity value inside the tank, and the VOC concentration value outside the tank;

[0036] Within the current monitoring time period, the seal status data is collected multiple times;

[0037] Install pressure sensors inside and outside the tank to measure the air pressure difference inside and outside the tank.

[0038] Install a humidity sensor inside the tank to monitor the humidity change value inside the tank;

[0039] Install a VOC sensor inside the tank to monitor the VOC concentration change value;

[0040] Perform weighted synthesis on the seal status data to obtain the following seal leakage impact factor :

[0041]

[0042] Among them, 、 、 Are empirical weighting coefficients used to balance the contributions of various data, 、 、 The value ranges are all within the interval (0, 1); and ;

[0043] Is the air pressure difference inside and outside the tank; Is the humidity value inside the tank; Is the VOC concentration value outside the tank; , And Are respectively the warning thresholds of the air pressure value inside the tank, the humidity value inside the tank, and the VOC concentration value inside the tank; 、 、 And , And The corresponding weights are determined through the entropy weight method and the fuzzy analytic hierarchy process (FAHP); , And Are collected at the same monitoring moment;

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

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

[0046] Select the maximum acceptable VOC concentration value under standard environmental conditions as the reference scale, or the expected value of VOC under normal operating conditions;

[0047] When or or equals 1, it respectively indicates that the internal and external air pressure difference of the tank body, the internal humidity value of the tank body, and the internal VOC concentration value of the tank body are in a critical state;

[0048] When or or is greater than 1, it indicates that there is a risk of seal leakage in the tank body. The larger the corresponding 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 "seal leakage impact factor generation module" in the "automatic inventory management system for oil tank trucks" of the present invention, a series of experiments were designed to simulate and evaluate the leakage risks under different seal states. The following are the specific test preparations and implementation processes:

[0050] Pressure sensors, humidity sensors, and VOC (volatile organic compound) sensors were respectively installed inside and outside the tank body of the oil tank truck to monitor the seal state of the tank body in real time. The specific configurations are as follows:

[0051] Pressure sensor: Installed inside and outside the tank body, used to measure the internal and external air pressure difference of the tank body (unit: hPa).

[0052] Humidity sensor: Installed inside the tank body, used to monitor the internal humidity value of the tank body (unit: %RH).

[0053] VOC sensor: Installed outside the tank body, used to monitor the external VOC concentration value of the tank body (unit: ppm).

[0054] In addition, the system is configured with a data acquisition module, which is used to regularly collect the data of the above sensors during a predetermined monitoring time period and input it into the "seal leakage impact factor generation module" for processing.

[0055] During the monitoring period, multiple data collections were carried out to obtain the seal status data under different working conditions. According to the actual operation requirements, three typical monitoring time points were selected to simulate the tank conditions under different seal states, including normal state, medium leakage risk, and high leakage risk.

[0056] Based on the collected seal status data, the following formula is applied to calculate the seal leakage impact factor :

[0057]

[0058] where the empirical weighting coefficients , , respectively reflect the weights of the air pressure difference, the internal humidity value of the tank, and the VOC concentration in the seal leakage risk; the threshold values of each parameter are set as follows:

[0059] Threshold value of the air pressure difference inside and outside the tank ; unit hPa;

[0060] Threshold value of the internal humidity value of the tank ;

[0061] Threshold value of the external VOC concentration value of the tank , unit ppm;

[0062] Based on the calculated value, the system conducts risk assessment and response according to the preset alarm strategy:

[0063] When reaches or exceeds 1, the first-level water level alarm strategy is triggered, indicating high-risk leakage;

[0064] When is between 0.7 and 1, the second-level water level alarm strategy is triggered, indicating medium-risk leakage.

[0065] By recording and analyzing the test data under different working conditions, the accuracy and response speed of the seal leakage impact factor generation module are evaluated. The experimental results show that this module has high precision and reliability in identifying and evaluating leakage risks, can respond to different degrees of leakage risks in a timely manner, and ensure the safe management of the oil tanker inventory.

[0066] Based on the data collected and calculated by the seal leakage impact factor generation module. The table includes the air pressure difference inside and outside the tank , the internal humidity value of the tank , the external VOC concentration value of the tank , the seal leakage impact factor and the corresponding risk levels.

[0067] Table 1 Application of seal leakage influencing factor generation module:

[0068]

[0069] From the data of the above examples, it can be seen that the "seal leakage influence factor generation module" of the present invention can effectively distinguish the leakage risks under different sealing conditions. Compared with the traditional single parameter monitoring method, this module comprehensively considers the three key parameters 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, and assigns different weight coefficients, so as to more accurately reflect 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: Dynamically calculate the sealing leakage influencing factor based on real-time monitoring data to achieve real-time monitoring and rapid response to the tank sealing status.

[0072] 3. High flexibility: by adjusting the weight coefficient , , The system can adapt to different tank structures and usage environments and has high adaptability.

[0073] 4. Improved early warning mechanism: The hierarchical alarm strategy (primary and secondary alarms) enables the system to take appropriate measures at different risk levels to ensure the safe management of tank trucks.

[0074] Target wave-breaking bulkhead determination module: used to identify multiple wave-breaking bulkheads in the tank body used to divide the oil inventory, with the bulkhead space formed between adjacent wave-breaking bulkheads, and obtain the tilt data of the tank body at the current monitoring moment, and determine the target wave-breaking bulkhead based on the tilt data.

[0075] Further explanation: The target wave-breaking bulkhead is determined based on the tilt data, specifically:

[0076] Identifying wave-breaking bulkheads:

[0077] Inside the tanker, multiple wave-proof partitions are marked by RFID tags installed on the partitions to ensure the unique identification of each partition;

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

[0079] A high-precision three-axis tilt sensor is installed inside the tank, which collects tilt data at the current monitoring moment;

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

[0081] According to the longitudinal tilt angle and the lateral tilt angle , as well as the area where the oil in the tank is concentrated and the corresponding anti-wave baffle, to determine the "target anti-wave baffle";

[0082]

[0083] is the effective volume of the baffle space corresponding to the anti-wave baffle i in the current tilted state; i represents the index mark of the anti-wave baffle, and ; is a positive integer; the function reflects the influence of the tilt angle on the oil distribution;

[0084] For all monitored anti-wave baffles, calculate the effective volume of the baffle space corresponding to each anti-wave baffle under the current tilt data;

[0085] Select the anti-wave baffle that is most affected by the oil distribution as the target anti-wave baffle, that is the anti-wave baffle with the largest .

[0086] It should be noted that the effective volume of this embodiment is determined based on the baffle space isolated on the left side of the anti-wave baffle;

[0087] This embodiment gives the following specific calculation formula ;

[0088]

[0089] Among them, K is a calibration coefficient, which is determined based on experimental data.

[0090] Effective volume refers to the volume occupied by the oil in the baffle space corresponding to the anti-wave baffle i in the current tilted state;

[0091] The tilt angle will cause the oil to redistribute in the tank; use the data of the tilt angle sensor to measure the current tilt angle, including the longitudinal tilt angle and the lateral tilt angle .

[0092] Based on the current tilt angle, adjust the geometric model, calculate the free liquid surface of the oil under this state, and then obtain the actual effective accommodation volume of this baffle space.

[0093]

[0094] Wherein: is the volume occupied by the oil product in the baffle space corresponding to the wave - proof baffle i under the horizontal static state; is the maximum height of the oil - product liquid level in the baffle space corresponding to the wave - proof baffle i under the current inclined state; is the maximum height of the oil - product liquid level in the baffle space corresponding to the wave - proof baffle i under the horizontal state;

[0095] Update the information of the target wave - proof baffle (such as RFID identification, position, effective volume under inclination) to the central control database.

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

[0097] Fluctuation range simulation module: used to simulate the simulated fluctuation range of the reference proportion value of the oil product in the baffle space corresponding to the target wave - proof baffle under different inclination data, so as to generate a simulated proportion fluctuation coefficient;

[0098] During the current monitoring time period, used to obtain the actual fluctuation range of the reference proportion value of the oil product in the baffle space corresponding to the target wave - proof baffle, so as to generate an actual proportion fluctuation coefficient;

[0099] Further explanation: For obtaining the simulated proportion fluctuation coefficient: Based on the baffle space corresponding to the target wave - proof baffle, simulate the dynamic distribution of the oil product in the three - dimensional model. The simulation conditions include:

[0100] Inclination data: longitudinal inclination angle and transverse inclination angle ;

[0101] Static base value: reference proportion value ;

[0102] Volume limit of the wave - proof baffle and baffle position.

[0103] Through CFD (Computational Fluid Dynamics) simulation, simulate the response of the oil - product distribution in the baffle space corresponding to the target wave - proof baffle to the inclination angle;

[0104] Determine the numerical range of the longitudinal inclination angle and transverse inclination angle corresponding to the inclination data. For the longitudinal inclination angle and transverse inclination angle make any combination to form different inclination data;

[0105] Record the comprehensive liquid level measurement value of the oil product in the baffle space corresponding to the target wave - preventing baffle i1 under different inclination data and the reference water level measurement value to calculate the simulated reference ratio value in the baffle space corresponding to the target wave - preventing baffle i1 :

[0106]

[0107] It should be noted that the comprehensive liquid level measurement value of the oil product and the reference water level measurement value are obtained by taking the average of the corresponding values of the maximum and minimum heights of the oil product liquid level in the current inclination state of the corresponding baffle space;

[0108] Obtain the simulated reference ratio values under different inclination data and record the simulated fluctuation range:

[0109]

[0110] Among them, and are respectively the maximum and minimum values in the simulated reference ratio value; represents and the difference in the simulated fluctuation range;

[0111] Define the simulated ratio fluctuation coefficient of the baffle space corresponding to the target wave - preventing baffle i1 as , and the calculation formula is:

[0112]

[0113] When the value increases, since the reference ratio value is a constant value after pre - calculation; it will cause the value to increase, the larger the value of the greater the fluctuation amplitude of the reference ratio value.

[0114] For the acquisition of the actual ratio fluctuation coefficient:

[0115] Under the current monitoring state, obtain the actual comprehensive liquid level measurement value of the oil product in the baffle space where the target wave - preventing baffle i1 is located and the actual reference water level measurement value ;

[0116] Calculate the actual reference ratio value in the baffle space corresponding to the target wave - preventing baffle i1 :

[0117]

[0118] It should be noted that the comprehensive liquid level measurement value of the oil product and the reference water level measurement value are obtained by taking the average of the corresponding values corresponding to the maximum and minimum heights of the oil product liquid level in the current inclined state through the corresponding baffle space;

[0119] Calculate the actual fluctuation range of the actual reference ratio value:

[0120]

[0121] Among them, and are the maximum and minimum values of the actual reference ratio value during the monitoring period; is the difference in the actual fluctuation range;

[0122] Define the actual ratio fluctuation coefficient of the baffle space corresponding to the target anti-wave baffle i1 as:

[0123]

[0124] Among them, is the actual ratio fluctuation coefficient of the baffle space corresponding to the target anti-wave baffle i1.

[0125] When the value increases, since the reference ratio value is a constant value after pre-calculation; it will cause the value to increase, the larger the value, the greater the fluctuation amplitude of the reference ratio value .

[0126] Comparison and alarm module: Compare and analyze the simulated ratio fluctuation coefficient, the actual ratio fluctuation coefficient, and the seal leakage influence factor to generate a correction index. The correction index is used to provide an adjustment basis for the reference ratio value and formulate a water level alarm strategy for the oil products in the tanker inventory.

[0127] Further explanation: Define the correction index calculation formula for the baffle space corresponding to the target anti-wave baffle i1 as follows:

[0128]

[0129] Among them, is the correction index of the baffle space corresponding to the target anti-wave baffle i1, is the fine-tuning factor;

[0130] When or or When there is at least one value equal to 1 and the other values do not exceed 1, ; at this time, it indicates that the internal seal leakage of the tank body is in a critical state, and the probability of tank body seal leakage is medium; make the following small adjustments to the reference ratio value:

[0131]

[0132] wherein, is the adjusted reference ratio value;

[0133] It should be noted that when or or there is at least one value equal to 1, indicating the air pressure difference inside and outside the tank, and there is a situation where the internal humidity value of the tank body and the external VOC concentration value of the tank body are equal to the corresponding warning thresholds. At this time, it indicates that the tank body has a medium leakage risk. Therefore, set , for quickly distinguishing the current tank body leakage risk level, and 's setting makes 's output value have a small adjustment range for the reference ratio value. The purpose of this setting is: when it is not determined that the tank body leaks, it is difficult for external rainwater or humid gas to enter the tank body, so there is no need to make a large adjustment to the reference ratio value; however, condensation water droplets will be generated in the internal gas phase space of the tank body under conditions such as ambient temperature, or there is moisture in the oil product that was not deposited before. Therefore, a small adjustment to the reference ratio value is required; implement a secondary water level alarm strategy;

[0134] When , , are all less than 1, ; at this time, it indicates that the probability of internal seal leakage of the tank body is low; do not adjust the reference ratio value:

[0135] It should be noted that since , , are all less than 1, indicating that the air pressure difference inside and outside the tank, the internal humidity value of the tank body, and the external VOC concentration value of the tank body are below the corresponding warning thresholds, indicating that the internal seal leakage risk of the tank body is low. Therefore, without external moisture entering the tank body, there is no need to adjust the reference ratio value; at this time, there is no need to perform a water level alarm;

[0136] When or or there is at least one value greater than 1 among them, ; at this time, it indicates that the probability of internal seal leakage of the tank body is high; if When it indicates that there is a risk of seal leakage, but the moisture in the external environment does not enter the interior of the tank; The setting makes be an extremely large value, which is convenient for quickly analyzing the situation where the seal leakage probability inside the tank is high;

[0137] If When it indicates that the fluctuation range of the reference ratio value increases, the following increase adjustments need to be made to the reference ratio value:

[0138]

[0139] Among them, and are respectively the maximum and minimum values of the actual reference ratio value during the monitoring period.

[0140] It should be noted that means to average the maximum and minimum values of the actual reference ratio value, and then superimpose the reference ratio value for averaging to obtain the adjusted reference ratio value;

[0141] Since or or when there is at least one value greater than 1, it indicates the air pressure difference inside and outside the tank, and when at least one of the humidity value inside the tank and the VOC concentration value outside the tank is above the corresponding warning threshold, it indicates that the seal leakage risk inside the tank is high. At this time, on the premise that external moisture enters the interior of the tank, if when it indicates that the reference ratio value needs to be greatly adjusted to cope with the situation where external moisture enters the interior of the tank due to seal leakage; implement the first-level water level alarm strategy;

[0142] In this embodiment, the numerical ranges for setting the seal leakage probability as low, medium, and high are [0%, 20%), [20%, 50%), and [50%, 100%] in sequence;

[0143] Explanation of the second-level water level alarm strategy:

[0144] Trigger condition: When any one of the monitored values (air pressure difference, internal humidity value, external VOC concentration) of the seal leakage influence factor is equal to 1; the tank has a medium leakage risk.

[0145] Strategy content:

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

[0147] Adjust the reference ratio value to cope with possible condensation water droplets or previously undeposited moisture inside the tank.

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

[0149] 2. Alarm prompt:

[0150] Trigger the visual and sound alarm devices to alert the operator to potential medium risks.

[0151] Display detailed monitoring data (humidity, air pressure difference, VOC concentration) and the current reference ratio value adjustment information on the display screen;

[0152] 3. Increased monitoring frequency:

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

[0154] 4. Suggested inspection:

[0155] Propose that the operator conduct a daily inspection of the tank structure to ensure the normal operation of the system and no deteriorating trend.

[0156] Explanation of the first-level water level alarm strategy:

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

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

[0159] Strategy content:

[0160] 1. Substantially adjust the reference ratio value:

[0161] When [condition], make a significant adjustment to compensate for the change in the reference ratio value caused by the potential large amount of external moisture entering the tank; specifically, a 20% adjustment of the reference ratio value is required to correct the significant change in external moisture and ensure the accuracy of the liquid level reading.

[0162] 2. Advanced alarm prompt:

[0163] Activate a strong visual and sound alarm system to ensure that on-site operators immediately notice and respond.

[0164] Highlight the alarm on the main screen of the operation control center and automatically send a mobile communication prompt in addition to the display screen information.

[0165] 3. Emergency response measures:

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

[0167] Start the automatic drainage system to transfer excess moisture or other unwanted hazardous substances in the tank.

[0168] 4. Manual inspection and reporting:

[0169] Immediately request on-site manual inspection to confirm the validity of the high-risk alarm given by the system.

[0170] Submit a detailed report, including the possible causes of the leak point and suggestions for subsequent repair actions.

[0171] The beneficial effects of this embodiment are as follows: Through such a hierarchical water level alarm strategy, it is possible to respond quickly and reasonably when different degrees of seal leakage risks occur in the tank body, ensuring the safety of the system and the quality of the oil product. The setting of the strategy ensures a quick response in the face of high-risk situations, while achieving careful monitoring and response in the case of medium risks, balancing system stability and response sensitivity.

[0172] From the above description of the implementation manners, those skilled in the art can clearly understand that the present invention can be implemented by means of software and necessary general-purpose hardware. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present invention, in essence 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 floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disc of a computer, etc., including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0173] If a 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 invention, 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 may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs, etc., all kinds of media that can store program codes.

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

[0175] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memories), fiber optic devices, and portable compact disc read-only memories (CDROM). Additionally, a computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0176] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, 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 not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by 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 not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. The automatic management system for oil tanker inventory is applied to the water level management in oil tanker inventory, which is characterized by: Specifically include: Data acquisition module: used to obtain the stable reference water level measurement value and the comprehensive oil level measurement value in the tank when the tank of the tank truck is in a static horizontal state; Calculate the benchmark ratio value between the benchmark water level measurement value and the comprehensive oil level measurement value; Sealing leakage influencing factor generation module: used to collect the sealing status data of the gas phase space in the tank body during the current monitoring period, analyze the sealing status data, and generate the sealing leakage influencing factor; Target wave-breaking bulkhead determination module: used to identify multiple wave-breaking bulkheads in the tank body used to divide the oil inventory, and the bulkhead space is formed between adjacent wave-breaking bulkheads, and obtain the tilt data of the tank body at the current monitoring moment, and determine the target wave-breaking bulkhead based on the tilt data; Fluctuation range simulation module: used to simulate the simulated fluctuation range of the reference proportion value of the oil product in the partition space corresponding to the target wave-breaking partition under different tilt data of the tank body, so as to generate the simulated proportion fluctuation coefficient; During the current monitoring period, it is used to obtain the actual fluctuation range of the reference ratio value of the oil product in the partition space corresponding to the target wave-breaking partition, so as to generate the actual ratio fluctuation coefficient; Comparison alarm module: used to compare and analyze the simulated proportion fluctuation coefficient, the actual proportion fluctuation coefficient and the sealing leakage influencing factor, and generate a correction index. The correction index is used to provide an adjustment basis for the benchmark proportion value and to formulate a water level alarm strategy for the oil products in the tank truck inventory.

2. The automatic management system for oil tanker inventory according to claim 1 is characterized by: The base ratio value is recorded as , the calculation formula is as follows: in, is the reference water level measurement value, It is the comprehensive level measurement value of oil products. is the base scale value.

3. The automatic management system for oil tanker inventory according to claim 2 is characterized in that: Sealing status data, including: pressure difference between inside and outside the tank, humidity value inside the tank and VOC concentration value outside the tank; During the current monitoring period, the sealing status data is collected multiple times; The following seal leakage influencing factors are obtained by weighted synthesis of the seal status data: : in, , , is the empirical weighting coefficient, which is used to balance the contribution of various data. , , The value range is in the interval (0,1); and ; It is the pressure difference between the inside and outside of the tank; is the humidity value inside the tank; is the VOC concentration value outside the tank; , and They are the warning thresholds of the air pressure value inside the tank, the humidity value inside the tank, and the VOC concentration value inside the tank; when or or When it is equal to 1, it means that the pressure difference inside and outside the tank, the humidity value inside the tank and the VOC concentration value inside the tank are in a critical state; when or or When it is greater than 1, it means that there is a risk of sealing leakage in the tank. The larger the corresponding value, the greater the risk of sealing leakage. The corresponding sealing leakage impact factor The larger the value.

4. The automatic management system for oil tanker inventory according to claim 3 is characterized in that: The target wave-breaking bulkhead is determined based on the tilt data, specifically: Tilt data, including: longitudinal tilt angle and lateral tilt angle ; According to the longitudinal inclination angle and lateral tilt angle , as well as the oil concentration area in the tank and the corresponding wave-breaking bulkhead, to determine the "target wave-breaking bulkhead"; is the effective volume of the partition space corresponding to the wave-breaking partition i in the current tilted state; i represents the index mark of the wave-breaking partition, and ; is a positive integer; function Reflect the influence of tilt angle on oil distribution; Calculate the effective volume of the partition space corresponding to each wave-breaking partition under the current tilt data; The wave-breaking bulkhead that is most affected by the oil distribution is selected as the target wave-breaking bulkhead, that is, The largest wave-breaking bulkhead is selected, and the index of the selected target wave-breaking bulkhead is recorded as i1. .

5. The automatic management system for oil tanker inventory according to claim 4 is characterized in that: To obtain the simulation proportional fluctuation coefficient: Under different tilt data, record the comprehensive oil level measurement value in the partition space corresponding to the target wave-breaking partition i1 and base water level measurements , calculate the simulated reference ratio value in the partition space corresponding to the target wave-breaking partition i1 : Get the simulated benchmark scale value under different tilt data , and record The simulated fluctuation range of is: in, and are the maximum and minimum values ​​in the simulated benchmark scale values, respectively; Characterization and The simulated fluctuation range difference; The simulation proportional fluctuation coefficient of the bulkhead space corresponding to the target wave-breaking bulkhead i1 is defined as , The calculation formula is: To obtain the actual proportional fluctuation coefficient: Under the current monitoring state, obtain the actual oil comprehensive level measurement value of the bulkhead space where the target wave-breaking bulkhead i1 is located and actual base water level measurements ; Calculate the actual reference ratio value in the partition space corresponding to the target wave-breaking partition i1 : Calculate the actual fluctuation range of the actual base ratio value: in, and It is the maximum and minimum value of the actual benchmark ratio value during the monitoring period; is the actual fluctuation range difference; The actual proportional fluctuation coefficient of the bulkhead space corresponding to the target wave-breaking bulkhead i1 is defined as: in, It is the actual proportional fluctuation coefficient of the partition space corresponding to the target wave-breaking partition i1.

6. The automatic management system for oil tanker inventory according to claim 5 is characterized by: The calculation formula for the correction index of the bulkhead space corresponding to the target wave-breaking bulkhead i1 is defined as follows: in, is the correction index of the bulkhead space corresponding to the target wave-breaking bulkhead i1, is the fine-tuning factor; when or or If at least one value is equal to 1 and no other value exceeds 1, ; This indicates that the seal leakage inside the tank is in a critical state, and the probability of tank seal leakage is medium; implement the secondary water level alarm strategy; make the following small adjustments to the benchmark ratio value: in, is the adjusted base ratio value; when , , When both are less than 1, ; This indicates that the probability of internal seal leakage in the tank is low; no adjustment is made to the reference 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 that the probability of internal seal leakage in the tank is high, and the first-level water level alarm strategy is implemented; like When the pressure drops below 0.5, it indicates that there is a risk of seal leakage, but moisture from the external environment has not entered the tank; like When , it indicates the base ratio value The fluctuation range increases, and the following additional adjustments need to be made to the benchmark ratio value: in, and They are respectively the maximum and minimum values ​​of the actual benchmark ratio during the monitoring period.

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