CN117870775B - Storage tank detection system and method based on intelligent oil depot - Google Patents
Storage tank detection system and method based on intelligent oil depot Download PDFInfo
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Abstract
The invention discloses a storage tank detection system and method based on an intelligent oil depot, in particular to the technical field of storage tank detection, which are used for solving the problem that the safety of a storage tank emptying task cannot be monitored and pre-warned in real time in the prior art; through comprehensive evaluation of the sealing performance and the petroleum state of the storage tank, the safety accident risk caused by the problem of the storage tank is effectively avoided; meanwhile, the intelligent monitoring technology is utilized to monitor and evaluate the liquid level speed and the gas release speed in real time, so that the safety and controllability of the storage tank emptying process are improved, the comprehensive storage tank detection scheme provides important support for the safety management of an intelligent oil depot, the safety and stability of the operation of the storage tank are guaranteed, the possibility of accidents is reduced, and the production efficiency and economic benefit are improved.
Description
Technical Field
The invention relates to the technical field of storage tank detection, in particular to a storage tank detection system and method based on an intelligent oil depot.
Background
The intelligent oil depot is a system for intelligently managing and monitoring the oil depot by utilizing advanced information technology and Internet of things technology, and the running state, equipment state, environmental condition and other aspects of the oil depot are monitored and managed by collecting, transmitting and analyzing data in real time, so that the safety, running efficiency and management level of the oil depot are improved.
In wisdom oil depot, the storage tank evacuation task refers to the operation process of discharging the oil in the storage tank completely, and when the storage tank evacuation task, if can not timely detect the storage tank evacuation task, carry out real-time supervision and early warning to the security of storage tank evacuation task, probably lead to the evacuation process incomplete or the process unstable, cause the waste of oil resource, still probably increase the degree of difficulty and the cost of follow-up washing and maintenance work simultaneously, still probably lead to the occurence of failure, cause casualties and environmental pollution.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, the present invention provides a storage tank detection system and method based on an intelligent oil depot to solve the above-mentioned problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a storage tank detection method based on an intelligent oil depot comprises the following steps:
S1: before the tank emptying task starts: the sealing performance of the storage tank is evaluated, and the sealing performance of the storage tank is divided into normal performance or hidden danger exists in performance; detecting the physical property of petroleum in a storage tank, and dividing the petroleum state in the storage tank into normal petroleum state or petroleum state hidden trouble;
s2: when the sealing performance of the storage tank is normal and the petroleum state in the storage tank is normal, permitting the storage tank to start the emptying task;
S3: acquiring fluctuation degree of the liquid level speed of the storage tank, and evaluating variation abnormality degree of the liquid level speed of the storage tank in the storage tank emptying task;
S4: monitoring the gas release speed in the emptying task of the storage tank, so as to judge the hidden danger degree of forming a gas cluster in the storage tank;
s5: and comprehensively analyzing the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of air mass formation inside the storage tank, and pre-warning the safety of the storage tank in the storage tank emptying task.
In a preferred embodiment, in S1, acquiring a gas pressure value inside the tank, acquiring a gas pressure value outside the tank;
Acquiring a pressure difference allowable value of the storage tank; according to the actually measured gas pressure value in the storage tank, the actually measured gas pressure value outside the storage tank and the actually measured allowable value of the pressure difference of the storage tank, calculating the pressure difference degree, wherein the expression is as follows: Wherein/> The pressure difference degree, the gas pressure value in the storage tank, the gas pressure value outside the storage tank and the allowable value of the pressure difference of the storage tank are respectively;
namely, when the pressure difference is greater than 1, dividing the sealing performance of the storage tank into performance hidden trouble exists; when the pressure difference is less than or equal to 1, the sealing performance of the storage tank is divided into normal performance.
In a preferred embodiment, the detection of physical properties of the oil in the tank includes density detection, viscosity detection, moisture content detection, and temperature detection;
Judging whether density detection, viscosity detection, moisture content detection and temperature detection reach safety standards or not; if the detection results of the density detection, the viscosity detection, the moisture content detection and the temperature detection all reach the safety standard, the petroleum state in the storage tank is divided into the petroleum state which is normal, and if one of the density detection, the viscosity detection, the moisture content detection and the temperature detection does not reach the safety standard, the petroleum state in the storage tank is divided into the petroleum state which has hidden trouble.
In a preferred embodiment, in S3, the degree of fluctuation of the tank level speed is obtained, specifically:
setting a liquid level monitoring time interval; evenly set in the liquid level monitoring time interval The monitoring points are used for acquiring the liquid level change speed corresponding to each monitoring point, numbering the liquid level change speed corresponding to the monitoring points in the liquid level monitoring time interval, analyzing the fluctuation degree of the liquid level change speed in the liquid level monitoring time interval, and calculating to obtain a liquid speed fluctuation index, wherein the expression is as follows: /(I)Wherein/>For the number of monitoring points in the liquid level monitoring time interval,/>Numbering of monitoring points in liquid level monitoring time interval,/>，/>Are integers greater than or equal to 1; /(I)Respectively the liquid speed fluctuation index and the liquid level monitoring time intervalLiquid level change speed corresponding to each monitoring point and first/>, in liquid level monitoring time intervalThe liquid level change speed corresponding to each monitoring point.
In a preferred embodiment, in S4, monitoring the real-time gas release rate, and marking the deviation value of the real-time gas release rate from the preset gas release rate as a gas release deviation value;
setting a time interval T and setting a gas release speed safety range; acquiring the time length of the gas release speed which is not in the gas release speed safety range in the time interval T, and marking the ratio of the time length of the gas release speed which is not in the gas release speed safety range in the time interval T to the time length of the time interval T as the gas release hidden danger ratio;
and carrying out unit removal treatment on the gas release deviation value and the gas release hidden danger ratio, carrying out weighted summation on the gas release deviation value and the gas release hidden danger ratio after unit removal treatment, and calculating to obtain a gas release hidden danger index.
In a preferred embodiment, in S5, the liquid velocity fluctuation index and the gas release hidden danger index are normalized, and the tank safety hidden danger coefficient is calculated by respectively assigning a preset proportionality coefficient to the normalized liquid velocity fluctuation index and the normalized gas release hidden danger index;
Setting a threshold value of potential safety hazard of the tank row; according to the comparison of the potential safety hazard coefficient of the tank row and the potential safety hazard threshold value of the tank row, the safety of the storage tank in the storage tank emptying task is pre-warned, and the method specifically comprises the following steps:
When the potential safety hazard coefficient of the tank bank is larger than the potential safety hazard threshold of the tank bank, generating a task potential large signal;
and when the potential safety hazard coefficient of the tank bank is smaller than or equal to the potential safety hazard threshold of the tank bank, generating a task normal signal.
In a preferred embodiment, a storage tank detection system based on an intelligent oil depot comprises a tank body seal monitoring module, an oil state evaluation module, a task execution judgment module, a liquid level fluctuation evaluation module, a gas release evaluation module and a task safety pre-warning module;
before the tank emptying task starts: the tank body sealing monitoring module evaluates the sealing performance of the storage tank, and divides the sealing performance of the storage tank into normal performance or hidden danger of performance; the petroleum state evaluation module detects the physical properties of petroleum in the storage tank, and divides the petroleum state in the storage tank into normal petroleum state or petroleum state hidden trouble;
Task execution judging module: when the sealing performance of the storage tank is normal, and the petroleum state in the storage tank is normal, the task execution judging module permits the start of the emptying task of the storage tank;
The liquid level fluctuation assessment module acquires fluctuation degree of the liquid level speed of the storage tank, so as to assess the variation abnormality degree of the liquid level speed of the storage tank in the storage tank emptying task;
the gas release evaluation module monitors the gas release speed in the emptying task of the storage tank, so as to judge the hidden danger degree of forming a gas cluster in the storage tank;
The task safety early warning module comprehensively analyzes the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of air mass formation inside the storage tank, and early warns the safety of the storage tank in the storage tank emptying task.
The storage tank detection system and method based on the intelligent oil depot have the technical effects and advantages that:
1. the safety and reliability of the task of emptying the storage tank are ensured by advanced industrial control and measurement sensing monitoring technology. Firstly, before the task starts, the state of the storage tank is comprehensively analyzed by evaluating the sealing performance of the storage tank and detecting the physical property of petroleum in the storage tank, and the states are divided into normal states and states with hidden danger. Only when the sealing performance of the storage tank is good and the petroleum state is normal, the storage tank emptying task can be started, and the safety of the storage tank emptying task is ensured from the source.
2. And the fluctuation degree of the liquid level speed of the storage tank and the gas release speed are monitored and evaluated in real time by utilizing an intelligent monitoring system. The assessment of the abnormal degree of the liquid level speed can timely find out the abnormal fluctuation of the liquid level, and provides important early warning information for preventing the abrupt change of the liquid level; and the monitoring of the gas release speed can effectively judge whether the gas mass is formed in the storage tank, so that potential safety hazards caused by gas accumulation are prevented. Through comprehensively analyzing the abnormal level speed degree and the hidden danger degree of the air group, the system can discover potential safety risks in advance, and timely early warning and management of the safety state of the storage tank are realized.
3. Through comprehensive evaluation of the sealing performance and the petroleum state of the storage tank, the safety accident risk caused by the problem of the storage tank is effectively avoided; meanwhile, the intelligent monitoring technology is utilized to monitor and evaluate the liquid level speed and the gas release speed in real time, so that the safety and the controllability of the storage tank emptying process are improved. The comprehensive storage tank detection scheme provides important support for safety management of the intelligent oil depot, is beneficial to guaranteeing safety and stability of operation of the storage tank, reduces possibility of accident occurrence, and improves production efficiency and economic benefit.
Drawings
FIG. 1 is a schematic diagram of a storage tank detection method based on an intelligent oil depot;
FIG. 2 is a schematic diagram of a storage tank detection system based on an intelligent oil depot according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
FIG. 1 shows a storage tank detection method based on an intelligent oil depot, which comprises the following steps:
S1: before the tank emptying task starts: the sealing performance of the storage tank is evaluated, and the sealing performance of the storage tank is divided into normal performance or hidden danger exists in performance; the physical property of the oil in the storage tank is detected, and the oil state in the storage tank is divided into normal oil state or hidden danger exists.
S2: when the sealing performance of the storage tank is normal, and the petroleum state in the storage tank is normal, the emptying task of the storage tank is permitted to start.
S3: and acquiring the fluctuation degree of the liquid level speed of the storage tank, and accordingly evaluating the variation abnormality degree of the liquid level speed of the storage tank in the storage tank emptying task.
S4: and monitoring the gas release speed in the emptying task of the storage tank, so as to judge the hidden danger degree of forming a gas mass in the storage tank.
S5: and comprehensively analyzing the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of air mass formation inside the storage tank, and pre-warning the safety of the storage tank in the storage tank emptying task.
In S1, the sealing performance of the tank itself belongs to the physical properties of the tank itself. The sealing performance directly affects the safety and the operation efficiency of the storage tank, so that the detection and the evaluation of the sealing performance of the storage tank are important for ensuring the safe operation of the storage tank.
Monitoring the pressure difference inside and outside the tank can evaluate the sealing performance. If the seal is poor, the pressure difference between the inside and the outside of the storage tank may be excessively large, so that oil leaks or external impurities enter the storage tank. The oil leakage in the emptying process can be effectively prevented due to good sealing performance of the storage tank, and the safety of the emptying process is ensured. If the sealing performance of the storage tank is not good, leakage may occur, causing environmental pollution and safety accidents. The storage tank with good sealing performance can keep the stability of the emptying process, ensure that the emptying rate meets the expectations, and reduce the waste of energy and time. Conversely, poor sealing performance may lead to unstable evacuation rates, affecting evacuation efficiency; the storage tank sealing performance is good, external impurities can be effectively prevented from entering the storage tank, and the quality purity of the emptied oil product is ensured. If the sealing performance of the storage tank is poor, external impurities can possibly enter the storage tank to influence the quality of the oil product. After the emptying task of the storage tank is completed, a small amount of oil or gas possibly remains in the storage tank, and if the sealing performance is poor, residues can leak, so that the surrounding environment is polluted; therefore, good sealing performance of the storage tank is important to environmental safety.
Before the start of the emptying task of the storage tank, the sealing performance of the storage tank is evaluated, and the sealing performance of the storage tank is divided into normal performance or hidden danger exists, specifically:
pressure sensors are mounted inside and outside the tank for measuring the pressure inside and outside the tank, respectively, and these pressure sensors are usually mounted on the top and bottom of the tank, or on pipes around the tank.
The gas pressure value inside the tank is acquired based on the pressure sensor, and the gas pressure value outside the tank is acquired based on the pressure sensor, wherein the gas pressure value outside the tank is usually the external environment (atmospheric pressure).
The allowable value of the pressure difference of the storage tank is obtained, and the allowable value of the pressure difference of the storage tank is set based on safety requirement standards of a person skilled in the art according to the degree of difference between the gas pressure value inside the storage tank and the gas pressure value outside the storage tank.
According to the actually measured gas pressure value in the storage tank, the actually measured gas pressure value outside the storage tank and the actually measured allowable value of the pressure difference of the storage tank, calculating the pressure difference degree, wherein the expression is as follows: Wherein/> The pressure difference degree, the gas pressure value in the storage tank, the gas pressure value outside the storage tank and the allowable value of the pressure difference of the storage tank are respectively; the greater the pressure difference, the greater the adverse effect on the tank emptying task, the poorer the sealing performance of the tank, and when the pressure difference is greater than 1, the difference between the gas pressure value in the tank and the gas pressure value outside the tank, which are actually measured, exceeds the safety requirement standard, and the adverse effect on the tank emptying task is greater.
Namely, when the pressure difference is greater than 1, dividing the sealing performance of the storage tank into performance hidden trouble exists; when the pressure difference is less than or equal to 1, the sealing performance of the storage tank is divided into normal performance.
The physical property of the oil in the storage tank is detected, and the oil state in the storage tank is divided into normal oil state or hidden danger exists.
Detecting physical properties of petroleum in the storage tank including density detection, viscosity detection, moisture content detection, and temperature detection, wherein:
And (3) density detection: density refers to the mass of oil per unit volume. Common density detection methods include measurement using densitometers or density calculation formulas. Densitometers can be used to measure the density of a petroleum sample, and density calculation formulas typically require knowledge of the temperature and API gravity (or API density) of the petroleum, and then calculate the density value from the formulas.
And (3) viscosity detection: viscosity refers to an index of petroleum fluidity, and common viscosity detection methods include a rotational viscometer, a titration viscometer, a cup viscometer, and the like. These devices can determine the viscosity number of petroleum by measuring its mobility or resistance under specific conditions.
And (3) detecting the moisture content: moisture content detection refers to measuring the moisture content of petroleum. Common methods for detecting moisture content include coulometric titration, halogen acid titration, infrared spectrophotometry, and the like. These methods can determine the quality and suitability of petroleum by measuring the moisture content of a petroleum sample.
And (3) temperature detection: temperature is an important physical parameter of petroleum and is typically measured using a thermometer or temperature sensor. The types of the thermometer include a glass thermometer, an electronic thermometer, an infrared thermometer, etc., and a suitable temperature measuring device may be selected according to actual conditions.
Judging whether the density detection, the viscosity detection, the moisture content detection and the temperature detection reach the safety standard or not is the prior art and is mature, and the specific steps are as follows:
And (3) density detection: the density of the sample is measured using a suitable densitometer or density measurement device. Checking the accuracy and precision of the density measurement device, ensuring compliance with relevant standards. And comparing the measured result with a standard value, and judging whether the density meets the safety standard.
And (3) viscosity detection: the viscosity of the sample is measured using a suitable viscometer or viscosity measurement device. Checking the accuracy and precision of the viscosity measurement device, ensuring compliance with relevant standards. And comparing the measured result with a standard value, and judging whether the viscosity meets the safety standard.
And (3) detecting the moisture content: the moisture content of the sample is measured using a suitable moisture content detection method (e.g., coulometric titration, halogen acid titration, infrared spectrophotometry, etc.). And checking the accuracy and precision of the moisture content measuring method, and ensuring that the method meets relevant standards. And comparing the measured result with a standard value, and judging whether the moisture content meets the safety standard.
And (3) temperature detection: the temperature of the sample is measured using a suitable thermometer or temperature sensor. Checking the accuracy and precision of the temperature measuring device, and ensuring that the temperature measuring device meets relevant standards. And comparing the measured result with a standard value, and judging whether the temperature meets the safety standard.
Result analysis and judgment: and analyzing and comparing the measurement results of the density, the viscosity, the moisture content and the temperature to judge whether the safety standard is met. If the measurement result is within the safety standard range, the safety standard is considered to be met; otherwise, corresponding measures are needed for adjustment or improvement.
According to whether density detection, viscosity detection, moisture content detection and temperature detection reach safety standards, the petroleum state in the storage tank is classified as normal petroleum state or hidden danger exists in petroleum state.
If the detection results of the density detection, the viscosity detection, the moisture content detection and the temperature detection all reach the safety standard, the petroleum state in the storage tank is divided into the petroleum state which is normal, and if one of the density detection, the viscosity detection, the moisture content detection and the temperature detection does not reach the safety standard, the petroleum state in the storage tank is divided into the petroleum state which has hidden trouble.
In S2, when the sealing performance of the tank itself is normal, and the state of the oil in the tank is normal, the tank emptying task is permitted to start.
Normal sealing performance can effectively prevent oil leakage or external impurity entering storage tank to reduce the risk of taking place the accident in the evacuation process. Normal petroleum conditions mean that the physical properties of the petroleum are as expected and there is no obvious safety hazard. In this case, the evacuation task is thus started, and the safety of the evacuation process can be ensured. Normal sealing performance and oil condition means that the evacuation process can be performed smoothly without being limited by sealing performance or oil quality. Therefore, the efficiency of the emptying task can be improved, and the time and the resource cost are saved.
If there is a hidden danger in the sealing performance of the storage tank itself, in the case that there is a hidden danger in the petroleum state in the storage tank, permitting the start of the storage tank emptying task may cause the following problems:
the risk of leakage increases: the storage tank with hidden danger on sealing performance is easy to leak, and petroleum can be leaked into the surrounding environment in the emptying process, so that environmental pollution and safety risks are caused.
The possibility of safety accidents increases: in the process of emptying the storage tank, if the hidden danger of sealing performance and the abnormal petroleum state exist, other safety problems, such as gas accumulation, fire explosion and other accidents, can be caused, and the danger is caused to personnel and equipment.
Exacerbating environmental impact: petroleum with abnormal petroleum conditions may contain impurities or be too high in moisture and if leaked into the environment, it can have a more serious impact on soil, water sources and ecological environment.
Waste of resources: the leaked petroleum in the emptying process can cause a great deal of resource waste, and the cleaning and repairing work can consume a great deal of resources.
In S3, it is reasonable that the tank level speed tends to stabilize during the tank emptying task, as this means that the liquid emptying process is relatively smooth and no anomalies occur. If the degree of fluctuation in the tank level speed occurs to a large extent, it may be stated that the following problems exist:
system anomalies: the tank emptying system may be faulty or abnormal, such as a valve failure, unstable pump operation, etc., resulting in fluctuation of the liquid level speed.
Liquid level control problem: the liquid level control system may be disturbed or malfunction, and the liquid level cannot be controlled stably, resulting in fluctuation of the liquid level speed.
Fluid property change: fluid properties (e.g., viscosity, density, etc.) within the reservoir may change, resulting in unstable fluid level rates during the evacuation process.
External influence: external factors such as air temperature changes, ambient pressure changes, equipment vibrations, etc. may affect the tank emptying process, leading to fluctuations in liquid level velocity.
Storage tank problem: the tank itself may have problems such as poor sealing properties, structural damage, etc., resulting in fluctuation of the liquid level speed during the emptying process.
Improper operation: operators may operate improperly during the drain process, such as frequently changing drain rates, valve misadjustments, etc., resulting in fluctuations in liquid level rates.
The fluctuation degree of the liquid level speed of the storage tank is obtained, and the fluctuation degree is specifically:
Setting a liquid level monitoring time interval, wherein the liquid level monitoring time interval is a real-time monitoring time interval, namely, the end point of the liquid level monitoring time interval is always a real-time point, and the time length of the liquid level monitoring time interval is set according to actual conditions and is not repeated herein.
Evenly set in the liquid level monitoring time intervalThe monitoring points are used for acquiring the liquid level change speed corresponding to each monitoring point, numbering the liquid level change speed corresponding to the monitoring points in the liquid level monitoring time interval, analyzing the fluctuation degree of the liquid level change speed in the liquid level monitoring time interval, and calculating to obtain a liquid speed fluctuation index, wherein the expression is as follows: Wherein/> For the number of monitoring points in the liquid level monitoring time interval,/>Numbering of monitoring points in liquid level monitoring time interval,/>，/>Are integers greater than or equal to 1; /(I)The liquid speed fluctuation index and the liquid level monitoring time interval are respectively the first/>Liquid level change speed corresponding to each monitoring point and first/>, in liquid level monitoring time intervalThe liquid level change speed corresponding to each monitoring point.
The greater the fluctuation index of the liquid speed is, the greater the fluctuation degree of the liquid level change speed in the liquid level monitoring time interval is, and the greater the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task is.
The liquid level change speed obtaining method comprises the following steps: a level sensor or gauge is used to monitor in real time the change in the level of the liquid in the tank. The liquid level sensor can be of different types such as a float type, a pressure type, an ultrasonic type and the like, and can accurately measure the liquid level height. The output of the liquid level sensor is connected to a data recorder or monitoring system, and the change of the liquid level along with the time is recorded in real time. The data logger may be a computer, a data collector or a dedicated monitoring device. And (3) carrying out data analysis by using the recorded liquid level data, and calculating the change rate of the liquid level along with time, namely the change speed of the liquid level. The rate of change of the liquid level can be calculated by the difference between adjacent liquid level data points and then divided by the time interval to obtain the average rate.
In S4, during the tank emptying process, a certain vacuum is formed inside the tank when the liquid (e.g. oil) is discharged. In order to avoid excessive vacuum in the storage tank, the pressure difference between the inside and the outside of the storage tank is balanced by releasing gas in the emptying pipeline, so that the pressure in the storage tank is maintained relatively stable. This release of gas during evacuation is referred to as gas release during evacuation. And the gas release speed in the emptying process is controlled, so that excessive formation of gas clusters is avoided, and collapse of the storage tank or other safety problems can be caused.
The release of gas during evacuation has two main roles:
Balance pressure: as the liquid exits the tank, the pressure inside the tank may gradually drop, possibly causing a vacuum to form inside the tank. To prevent the vacuum from being too high, the pressure difference between the inside and the outside of the tank is balanced by releasing an appropriate amount of gas in the evacuation line.
Preventing air-pocket formation: if gas is not released in time during the emptying process, air clusters may be formed inside the storage tank, i.e. the gas is wrapped by liquid to form air clusters, which may lead to slow emptying speed, uneven emptying and even interruption of the emptying. By releasing a proper amount of gas, the formation of air clusters can be prevented, and the smooth progress of the emptying process is ensured.
The gas release speed in the storage tank emptying task is monitored, so that hidden danger degree of forming a gas cluster in the storage tank is judged, and the method specifically comprises the following steps:
the gas release rate is monitored in real time, and is typically obtained by monitoring the flow or pressure change of the gas. The following is a general method of monitoring the gas release rate:
gas flowmeter: a gas flow meter is used to measure the flow of gas. The gas flow meter may be a volumetric flow meter (e.g., turbine flow meter, mass flow meter, turbine flow meter, etc.) or a differential pressure flow meter (e.g., orifice flow meter, nozzle flow meter, etc.), which is capable of accurately measuring the gas flow.
A data recorder: the output of the gas flow meter is connected to a data logger or monitoring system which records the change in gas flow over time. The data logger may be a computer, a data collector or a dedicated monitoring device.
Monitoring gas pressure: a gas pressure sensor is used to monitor the pressure change of the gas in the tank. When the gas is released, the gas pressure changes along with the gas pressure, and the gas release speed can be deduced by monitoring the change of the gas pressure.
Data analysis: data analysis was performed using the recorded gas flow or pressure data to calculate the gas release rate. The gas release rate may be calculated by the gas flow rate change or the gas pressure change rate and then divided by the time interval.
Marking a deviation value of the real-time gas release speed and a preset gas release speed as a gas release deviation value; the larger the gas release deviation value is, the more the actual release speed is deviated from the preset value, which possibly reflects the problems of abnormal or fault of the system operation, such as equipment fault, valve failure, pipeline blockage and the like. May be caused by improper operation of an operator or out of control of the system, such as improper adjustment of a valve, incorrect setting of a process parameter, etc., resulting in a larger difference between the actual release rate and a preset value, the gas discharge rate possibly exceeds the safety range, the risk of safety accidents is increased, the gas discharge is uncontrolled, the problems of environmental pollution, resource waste and the like are caused, and the influence on the surrounding environment and ecology is caused.
Wherein the preset gas release rate is set according to the tank emptying task.
The time interval T is set, and is a real-time monitoring time interval, the end point of the real-time interval T is always a real-time point, and the time length of the time interval T is set according to the actual situation and is not repeated here.
Setting a gas release speed safety range, acquiring the time length of the gas release speed which is not in the gas release speed safety range in a time interval T, and marking the ratio of the time length of the gas release speed which is not in the gas release speed safety range in the time interval T to the time length of the time interval T as a gas release hidden danger ratio.
The gas release rate safety range is set by a person skilled in the art according to the safety requirement standard of the gas release rate in practice and other practical situations such as the preset gas release rate, and will not be described herein.
The greater the gas release potential ratio, the more serious the gas release potential. A higher gas release hazard ratio means that the gas release rate frequently exceeds the safety range, possibly resulting in uncontrolled gas leakage or discharge rate, increasing the risk of safety accidents.
Performing unit removal processing on the gas release deviation value and the gas release hidden danger ratio, performing weighted summation on the gas release deviation value and the gas release hidden danger ratio after the unit removal processing, and calculating to obtain a gas release hidden danger index, wherein the expression is as follows: Wherein/> Respectively a gas release hidden danger index, a gas release deviation value and a gas release hidden danger ratio,/>Weight coefficients of gas release deviation value and gas release hidden danger ratio are respectivelyAre all greater than 0.
The greater the index of hidden danger of gas release, the greater the hidden danger degree of forming air mass in the storage tank, the more serious the hidden danger of gas release in the task of emptying the storage tank, and the greater the safety influence on the task of emptying the storage tank; the presence of a gas release safety hazard means that gas emissions are uncontrolled or there is a risk of leakage, increasing the safety risk of the tank emptying task. The safety accidents such as gas leakage, fire explosion and the like can be caused, and serious harm is caused to personnel and equipment. The potential safety hazard of gas release can lead to gas emission exceeding the environmental protection requirement, and environmental pollution and ecological damage are caused. The released harmful gases may adversely affect the surrounding environment and the ecosystem, causing public concern and social responsibility problems.
In S5, comprehensively analyzing the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of forming air clusters in the storage tank, specifically:
And carrying out normalization treatment on the liquid velocity fluctuation index and the gas release hidden danger index, respectively endowing the normalized liquid velocity fluctuation index and the normalized gas release hidden danger index with preset proportional coefficients, and calculating to obtain the tank discharge hidden danger coefficient.
For example, the invention can calculate the potential safety hazard coefficient of the tank row by adopting the following formula: Wherein/> Respectively a tank discharge potential safety hazard coefficient, a liquid speed fluctuation index and a gas release potential hazard index,/>Preset proportional coefficients of a liquid velocity fluctuation index and a gas release hidden danger index respectively, and/>Are all greater than 0.
The greater the potential safety hazard coefficient of the tank discharge is, the greater the potential safety hazard of the tank emptying task is, and the worse the safety is in the tank emptying task, the risk of occurrence of safety accidents such as fire, explosion, leakage and the like is increased. These accidents can cause injury to not only personnel, but also severe environmental and surrounding areas.
The tank discharge potential safety hazard threshold is set by a person skilled in the art according to the level of the tank discharge potential safety hazard coefficient and other actual conditions such as the actual requirement standard for the safety of the tank discharge task, and is not described herein.
According to the comparison of the potential safety hazard coefficient of the tank row and the potential safety hazard threshold value of the tank row, the safety of the storage tank in the storage tank emptying task is pre-warned, and the method specifically comprises the following steps:
When the potential safety hazard coefficient of the tank row is larger than the potential safety hazard threshold of the tank row, a task potential hazard large signal is generated, at the moment, the potential safety hazard of the tank emptying task is large, the possibility that the tank emptying task is about to have a safety accident is large, and the risk of the safety accident can be increased. Safety accidents may include serious accidents such as gas leakage, fire explosion and the like, and threatens personnel life safety and equipment integrity. According to the generated large signal of the hidden trouble of the task, the following measures can be taken:
Emergency stop purge operation: an emergency stop is made for the tank emptying task, immediately stopping the gas release process to avoid further development of the accident.
Investigation of the cause: the potential safety hazards existing in the storage tank emptying task are investigated and analyzed in detail, and the root cause of the potential safety hazards is found out so that effective measures can be taken to solve the potential safety hazards.
Enhanced monitoring and alerting: the real-time monitoring of the storage tank emptying task is enhanced, an alarm mechanism is set, and an alarm is timely sent out when the potential safety hazard coefficient exceeds a threshold value to remind related personnel to take emergency measures.
Safety protection measures are added: the surrounding area of the storage tank is temporarily isolated or sealed, so that personnel are ensured to be evacuated safely, and accidents are prevented from being enlarged. Meanwhile, the field safety inspection is enhanced, and the effectiveness of safety equipment and emergency facilities is ensured.
Starting an emergency plan: according to a preset emergency plan, corresponding emergency rescue measures are started, specialized rescue teams and equipment are assembled, and safety accidents possibly caused by a storage tank emptying task are processed.
When the potential safety hazard coefficient of the tank discharge is smaller than or equal to the threshold value of the potential safety hazard of the tank discharge, a task normal signal is generated, at the moment, the potential safety hazard of the tank discharge task is smaller, the safety condition of the tank discharge task is normal, and no measures are required.
The intelligent oil depot comprises industrial control and measurement sensing monitoring, wherein the industrial control and measurement sensing monitoring is responsible for monitoring and controlling equipment and a process in a storage tank emptying task, and running stability and safety of the intelligent oil depot are ensured. The measurement sensing monitoring system is responsible for monitoring various parameters of the inside and surrounding environment of the storage tank, such as liquid level, temperature, pressure and the like, monitoring the gas release speed, liquid level change speed and the like in the process of emptying the storage tank, and timely finding out abnormal conditions and carrying out early warning. Through the synergistic effect of the industrial control and measurement sensing monitoring system, the safety and reliability of the storage tank emptying task can be effectively improved, and the safe operation of the intelligent oil depot is ensured.
The abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of the formation of air clusters inside the storage tank are monitored based on the industrial control and measurement perception of an intelligent oil reservoir, and specifically comprise the following steps:
monitoring liquid level speed: the industrial control system monitors the change of the liquid level in the storage tank in real time through the liquid level sensor and records the change curve of the liquid level along with time. Through analysis of the liquid level change curve, the change rate of the liquid level speed can be calculated and compared with a preset safety range to evaluate the abnormality degree of the liquid level speed.
Monitoring of air formation: the measurement sensing monitoring system monitors the pressure change of the gas in the storage tank in real time through a gas sensor or a pressure sensor. When an air mass is formed inside the tank, irregular or abrupt changes in the gas pressure may occur. The system can judge whether the air mass exists in the storage tank according to the pressure change condition, and evaluate the hidden danger degree of the air mass formation.
Data analysis and alarm: the industrial control and measurement sensing monitoring system can analyze and calculate the abnormal degree of the liquid level speed and the hidden danger degree of air mass formation in real time. When the abnormal level speed degree or the hidden danger degree of air mass formation exceeds a preset safety threshold, the system can give an alarm to prompt the operators to have safety risks and take corresponding emergency measures.
Real-time monitoring and feedback: the industrial control and measurement sensing monitoring system transmits the monitored data to a monitoring center or terminal equipment of an operator in real time so that the operator can know the liquid level speed and the air bubble formation condition in the storage tank emptying task at any time and take measures to cope with the situation in time.
Example 2:
Embodiment 2 of the present invention differs from embodiment 1 in that this embodiment describes a tank inspection system based on an intelligent oil depot.
Fig. 2 shows a schematic structural diagram of a tank detection system based on a smart oil depot, which comprises a tank body seal monitoring module, a petroleum state evaluation module, a task execution judgment module, a liquid level fluctuation evaluation module, a gas release evaluation module and a task safety pre-warning module.
Before the tank emptying task starts: the tank body sealing monitoring module evaluates the sealing performance of the storage tank, and divides the sealing performance of the storage tank into normal performance or hidden danger of performance; the petroleum state evaluation module detects the physical properties of petroleum in the storage tank, and divides the petroleum state in the storage tank into normal petroleum state or petroleum state with hidden danger.
Task execution judging module: when the sealing performance of the storage tank is normal, and the petroleum state in the storage tank is normal, the task execution judging module permits the start of the emptying task of the storage tank.
The liquid level fluctuation evaluation module acquires fluctuation degree of the liquid level speed of the storage tank, so as to evaluate the variation abnormality degree of the liquid level speed of the storage tank in the storage tank emptying task.
The gas release evaluation module monitors the gas release speed in the emptying task of the storage tank, so as to judge the hidden danger degree of forming a gas mass in the storage tank.
The task safety early warning module comprehensively analyzes the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of air mass formation inside the storage tank, and early warns the safety of the storage tank in the storage tank emptying task.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (3)
1. A storage tank detection method based on an intelligent oil depot is characterized by comprising the following steps:
S1: before the tank emptying task starts: the sealing performance of the storage tank is evaluated, and the sealing performance of the storage tank is divided into normal performance or hidden danger exists in performance; detecting the physical property of petroleum in a storage tank, and dividing the petroleum state in the storage tank into normal petroleum state or petroleum state hidden trouble;
s2: when the sealing performance of the storage tank is normal and the petroleum state in the storage tank is normal, permitting the storage tank to start the emptying task;
S3: acquiring fluctuation degree of the liquid level speed of the storage tank, and evaluating variation abnormality degree of the liquid level speed of the storage tank in the storage tank emptying task;
S4: monitoring the gas release speed in the emptying task of the storage tank, so as to judge the hidden danger degree of forming a gas cluster in the storage tank;
S5: comprehensively analyzing the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of air mass formation in the storage tank, and pre-warning the safety of the storage tank in the storage tank emptying task;
In S1, acquiring a gas pressure value in a storage tank and acquiring a gas pressure value outside the storage tank;
Acquiring a pressure difference allowable value of the storage tank; according to the actually measured gas pressure value in the storage tank, the actually measured gas pressure value outside the storage tank and the actually measured allowable value of the pressure difference of the storage tank, calculating the pressure difference degree, wherein the expression is as follows: Wherein, the method comprises the steps of, wherein, The pressure difference degree, the gas pressure value in the storage tank, the gas pressure value outside the storage tank and the allowable value of the pressure difference of the storage tank are respectively;
Namely, when the pressure difference is greater than 1, dividing the sealing performance of the storage tank into performance hidden trouble exists; when the pressure difference is less than or equal to 1, dividing the sealing performance of the storage tank into normal performance;
in S3, the fluctuation degree of the liquid level speed of the storage tank is obtained, specifically:
setting a liquid level monitoring time interval; evenly set in the liquid level monitoring time interval The monitoring points are used for acquiring the liquid level change speed corresponding to each monitoring point, numbering the liquid level change speed corresponding to the monitoring points in the liquid level monitoring time interval, analyzing the fluctuation degree of the liquid level change speed in the liquid level monitoring time interval, and calculating to obtain a liquid speed fluctuation index, wherein the expression is as follows: Wherein/> For the number of monitoring points in the liquid level monitoring time interval,/>Numbering of monitoring points in liquid level monitoring time interval,/>，/>Are integers greater than or equal to 1; /(I)The liquid speed fluctuation index and the liquid level monitoring time interval are respectively the first/>Liquid level change speed corresponding to each monitoring point and first/>, in liquid level monitoring time intervalThe liquid level change speeds corresponding to the monitoring points;
In S4, monitoring the real-time gas release speed, and marking the deviation value of the real-time gas release speed and the preset gas release speed as a gas release deviation value;
setting a time interval T and setting a gas release speed safety range; acquiring the time length of the gas release speed which is not in the gas release speed safety range in the time interval T, and marking the ratio of the time length of the gas release speed which is not in the gas release speed safety range in the time interval T to the time length of the time interval T as the gas release hidden danger ratio;
performing unit removal treatment on the gas release deviation value and the gas release hidden danger ratio, performing weighted summation on the gas release deviation value and the gas release hidden danger ratio after unit removal treatment, and calculating to obtain a gas release hidden danger index;
In S5, carrying out normalization processing on the liquid speed fluctuation index and the gas release hidden danger index, respectively endowing preset proportionality coefficients to the liquid speed fluctuation index and the gas release hidden danger index after normalization processing, and calculating to obtain a tank discharge potential safety hazard coefficient;
Setting a threshold value of potential safety hazard of the tank row; according to the comparison of the potential safety hazard coefficient of the tank row and the potential safety hazard threshold value of the tank row, the safety of the storage tank in the storage tank emptying task is pre-warned, and the method specifically comprises the following steps:
When the potential safety hazard coefficient of the tank bank is larger than the potential safety hazard threshold of the tank bank, generating a task potential large signal;
and when the potential safety hazard coefficient of the tank bank is smaller than or equal to the potential safety hazard threshold of the tank bank, generating a task normal signal.
2. The intelligent oil depot-based storage tank detection method of claim 1, wherein the method comprises the steps of: detecting physical properties of petroleum in the storage tank, including density detection, viscosity detection, moisture content detection and temperature detection;
Judging whether density detection, viscosity detection, moisture content detection and temperature detection reach safety standards or not; if the detection results of the density detection, the viscosity detection, the moisture content detection and the temperature detection all reach the safety standard, the petroleum state in the storage tank is divided into the petroleum state which is normal, and if one of the density detection, the viscosity detection, the moisture content detection and the temperature detection does not reach the safety standard, the petroleum state in the storage tank is divided into the petroleum state which has hidden trouble.
3. A storage tank detection system based on a wisdom oil depot for realizing the storage tank detection method based on the wisdom oil depot according to any one of claims 1-2, which is characterized in that: the system comprises a tank body sealing monitoring module, a petroleum state evaluation module, a task execution judging module, a liquid level fluctuation evaluation module, a gas release evaluation module and a task safety early warning module;
before the tank emptying task starts: the tank body sealing monitoring module evaluates the sealing performance of the storage tank, and divides the sealing performance of the storage tank into normal performance or hidden danger of performance; the petroleum state evaluation module detects the physical properties of petroleum in the storage tank, and divides the petroleum state in the storage tank into normal petroleum state or petroleum state hidden trouble;
Task execution judging module: when the sealing performance of the storage tank is normal, and the petroleum state in the storage tank is normal, the task execution judging module permits the start of the emptying task of the storage tank;
The liquid level fluctuation assessment module acquires fluctuation degree of the liquid level speed of the storage tank, so as to assess the variation abnormality degree of the liquid level speed of the storage tank in the storage tank emptying task;
the gas release evaluation module monitors the gas release speed in the emptying task of the storage tank, so as to judge the hidden danger degree of forming a gas cluster in the storage tank;
The task safety early warning module comprehensively analyzes the abnormal degree of the change of the liquid level speed of the storage tank in the storage tank emptying task and the hidden danger degree of air mass formation inside the storage tank, and early warns the safety of the storage tank in the storage tank emptying task.
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