A method for intelligent prediction of the liquid level in a storage tank

Abstract

The present application discloses a method for intelligent prediction of the liquid level of a storage tank. When predicting the liquid level of the storage tank, the matching situation between the change in ambient temperature and the change in the temperature of the liquid level material in the storage tank is examined during the historical storage process. Based on this, the risks during the storage process of the storage tank are identified, and thus, a certain predictability of the change in the liquid level of the liquid material can be obtained. Then, in combination with the change in the state of the liquid material during the storage process, it is determined whether the prediction of the liquid level change is reliable. It can be seen that the method in this specification realizes the management of the detection results and prediction results of the storage tank through technical means, and can effectively reduce the risks of "controlling goods" and rights confirmation in scenarios such as mortgage and transaction.

Description

Technical Field

[0001] This application relates to the technical field of data processing applicable to management, supervision, or prediction purposes, and particularly to a method for intelligent prediction of the liquid level in a storage tank. Background Art

[0002] Currently, the assets of most small and medium-sized energy and chemical enterprises are either stored in storage tanks or placed on vehicles or ships. If supply chain finance cannot be carried out relying on the self-reimbursement of the income of these liquid assets, it is very difficult for small and medium-sized enterprises to obtain financing. Summary of the Invention

[0003] The embodiments of this application provide a method for intelligent prediction of the liquid level in a storage tank to at least partially solve the above technical problems.

[0004] The embodiments of this application adopt the following technical solutions:

[0005] In a first aspect, the embodiments of this application provide a method for intelligent prediction of the liquid level in a storage tank. The method is executed by a liquid level prediction system and includes:

[0006] After a specified period of time for filling the liquid material into the storage tank is completed, the liquid level data collected by the liquid level gauge is recorded as the original liquid level data; the moment when the original liquid level data is collected is used as the starting moment.

[0007] Every first time period, the temperature data at the central part of the liquid material in the storage tank is recorded once as the first temperature data.

[0008] When it is detected that the storage tank enters the right confirmation link, the first temperature data is fitted to obtain a first temperature curve; and the ambient temperature data of the storage environment collected at the same time as the first temperature data is fitted to obtain a second temperature curve.

[0009] It is judged whether the first temperature curve and the second temperature curve meet the first condition; wherein, if the periods of the first temperature curve and the second temperature curve match and at the same temperature, the phase of this temperature in the first temperature curve lags behind the phase of this temperature in the second temperature curve, it is determined that the first condition is met.

[0010] If the first condition is met, the moment when the temperature data at the central part of the liquid in the storage tank is the same as that at the starting moment in the first temperature curve is used as the first reference moment.

[0011] Based on the surface temperature, surface pressure, and gas composition of the liquid material collected at the first reference moment, the Clapeyron equation is used for fitting, and the difference between the obtained result and the ideal result under the ideal state is used as the reference value.

[0012] Based on the data of the surface temperature, surface pressure, and gas composition of the liquid material collected at the current moment, the Clapeyron equation is used for fitting, and the difference between the obtained result and the ideal result under the ideal state is taken as the actual value;

[0013] If the difference between the reference value and the actual value is not greater than a preset first threshold, the original liquid level data is taken as the liquid level prediction result.

[0014] In an optional embodiment of this specification, the method further includes:

[0015] If the first condition is not satisfied, a specified number of groups of second temperature data are determined; the second temperature data is the temperature data recorded at a first specified position in the liquid in the storage tank at intervals of a first time period; the first specified position is obtained by random sampling; the first specified positions corresponding to different groups of second temperature data are different;

[0016] Those in the pending temperature curve that satisfy the first condition with the second temperature curve are taken as the third temperature curve; the pending temperature curve is obtained by fitting based on the second temperature data;

[0017] The moment in the third temperature curve that is the same as the temperature data at the central part of the liquid in the storage tank at the starting moment is taken as the first reference moment.

[0018] In an optional embodiment of this specification, the method further includes:

[0019] The first threshold used for the first reference moment obtained based on the third temperature curve is less than the first threshold used for the first reference moment obtained based on the first temperature curve.

[0020] In an optional embodiment of this specification, the method further includes:

[0021] If any of the pending temperature curves and the second temperature curve do not satisfy the first condition, a transportation warning is issued; the transportation warning indicates that there is a risk of position transfer in the history of the storage tank.

[0022] In an optional embodiment of this specification, the method further includes:

[0023] If the difference between the reference value and the actual value is greater than the first threshold, it is determined whether the second condition is satisfied; wherein, if within the time interval of the specified duration to which the second reference time belongs, the temperature change rate detected at the second specified position is not greater than the preset rate threshold, the second condition is satisfied; the second reference time is the time when the difference between the result of fitting the data of the surface temperature, surface pressure, and gas composition of the liquid material collected at each time using the Clapeyron equation and the ideal result in the ideal state is greater than the second threshold; the second specified position is the position with the largest temperature change amount within the time interval of the specified duration to which the second reference time belongs in the storage tank;

[0024] If the second condition is satisfied, an artificial review warning is issued.

[0025] In an alternative embodiment of the present specification, the method further includes:

[0026] If the second condition is not satisfied, a warning of liquid material loss is issued.

[0027] In an alternative embodiment of the present specification, the method further includes:

[0028] The duration of the specified time period is negatively correlated with the temperature of the environment where the storage tank is located, and is positively correlated with the ratio of the liquid level area of the storage tank to the value of the volume represented by the original volume data.

[0029] In an alternative embodiment of the present specification, the method further includes:

[0030] The first threshold is positively correlated with the duration from the start time to the current time.

[0031] In an alternative embodiment of the present specification, the method further includes:

[0032] When the difference in phase is not greater than 50 days, it is determined that the first condition is satisfied.

[0033] In a second aspect, an embodiment of the present application further provides a device for intelligent prediction of the liquid level of a storage tank, and the device is used to implement the method steps in the first aspect.

[0034] In a third aspect, an embodiment of the present application further provides an electronic device, including:

[0035] A processor; and

[0036] A memory arranged to store computer-executable instructions, and the executable instructions, when executed, cause the processor to execute the method steps described in the first aspect.

[0037] Fourthly, an embodiment of the present application further provides a computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of application programs, cause the electronic device to execute the method steps described in the first aspect.

[0038] The above at least one technical solution adopted in the embodiments of the present application can achieve the following beneficial effects:

[0039] When predicting the liquid level of the storage tank, the method in this specification examines the matching situation between the change in ambient temperature and the change in the temperature of the liquid level material in the storage tank during the historical storage process. Based on this, the risks during the storage process of the storage tank are identified, and then the change in the liquid level of the liquid material can be predicted to a certain extent. Then, combined with the change in the state of the liquid material during the storage process, it is judged whether the prediction of the liquid level change is reliable. It can be seen that the method in this specification realizes the management of the detection results and prediction results of the storage tank through technical means, and can effectively reduce the risk of confirmation of rights in scenarios such as mortgage and transaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the present application, and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0041] Figure 1 is a schematic process diagram of a method for intelligent prediction of the liquid level of a storage tank provided by an embodiment of this specification;

[0042] Figure 2 is a schematic structural diagram of an electronic device in an embodiment of this specification. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings through specific embodiments. Similar elements in different embodiments are labeled with related similar element numbers. In the following embodiments, many details are described to make the present application better understood. However, those skilled in the art can easily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, and methods. In some cases, some operations related to the present application are not shown or described in the specification to avoid the core part of the present application being overwhelmed by excessive description. For those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations according to the description in the specification and the general technical knowledge in the art.

[0044] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various implementations. At the same time, the steps or actions in the method description can also be interchanged or adjusted in a manner that is obvious to those skilled in the art. Therefore, the various sequences in the specification and the drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a required sequence, unless otherwise specified that a certain sequence must be followed.

[0045] The serial numbers of the components in this document, such as "first", "second", etc., are only used to distinguish the objects described and do not have any order or technical meaning. The "connection" and "coupling" mentioned in this application, unless otherwise specified, include direct and indirect connections (couplings).

[0046] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0047] In the scenario where liquid materials are used as collateral or trading objects for mortgage or property transfer, the value of the storage tank is usually negligible, and more attention is paid to the value of the liquid materials contained therein. The volume of the storage tank has corresponding standards. After it is filled, the amount of liquid materials contained therein is also certain. Without considering the fluctuation of commodity prices, its value is also certain, and it can be marked as a specific object for commercial activities such as trading and mortgage. However, there are also some artificial or environmental factors that cause the state of liquid materials to change, which in turn causes changes in its value. Since it is difficult to achieve all-weather monitoring based on manual labor during the storage process, the illegal behavior may be difficult to detect. For example, during the storage process of liquid materials, they are contaminated by radioactivity, which destroys the stability of the liquid materials, causing some components to fail, and thus reducing their value. In this case, if they are still traded or mortgaged at normal commodity prices, losses will occur.

[0048] However, liquid materials such as crude oil, even in the best storage conditions, will undergo irreversible changes in state and even composition if they are out of their original production environment. How to face up to such changes while monitoring the safety status of the tanks by predicting the tank liquid level, and thus ensuring that the negative impact on the property rights confirmation process is minimized, has become an urgent problem to be solved.

[0049] In view of this, this specification provides a method for intelligent prediction of tank liquid level. Figure 1 As shown, the method for intelligent prediction of tank liquid level in this specification includes the following steps:

[0050] S100: After the specified time period of filling the storage tank with liquid material is completed, the liquid level data collected by the liquid level meter is recorded as the original liquid level data; and the time when the original liquid level data is collected is used as the starting time.

[0051] Liquid materials refer to substances in liquid state that have a certain value and can be used as collateral or trading objects. Examples include crude oil and concentrated sulfuric acid. Ideally, the liquid level of liquid materials remains unchanged after being canned. However, collateral and trading are not done overnight and may involve intermediate links such as storage. If criminals steal liquid materials during this process, it will cause risks if the original liquid level data is still used to price the liquid materials during the title confirmation process.

[0052] Normally, canning will cause the contents in the tank to be in an unstable state. For example, the storage tank is sealed, but the entrance needs to be opened during canning. As the contents are poured in, the original gas is discharged. Moreover, for substances with complex components such as crude oil, a certain degree of volatilization will occur during the flow process. After the tank is sealed (closed system) for a period of time, the gas-liquid equilibrium will be reached inside the tank. Since the temperature changes and gas phase composition changes caused by the volatilization of different components are different, the data collected by each detection element will be more accurate only after reaching equilibrium (that is, after a specified period of time).

[0053] In an optional embodiment of the present specification, the duration of the specified time period is negatively correlated with the temperature of the environment in which the storage tank is located (the lower the temperature, the smaller the driving force to reach equilibrium), and is positively correlated with the ratio of the liquid surface area of ​​the storage tank to the volume represented by the original volume data (the larger the area, the more difficult it is to reach equilibrium. The larger the volume, the more liquid is contained in the storage tank, the smaller the gap is, and the easier it is to reach equilibrium).

[0054] S102: recording temperature data of a central portion of the liquid material in the storage tank once every first time period as first temperature data.

[0055] The duration of the first time period may be a preset value based on experience. In an optional embodiment of the present specification, the duration of the first time period may be positively correlated with the credit of the owner of the liquid material and the ratio of the liquid in the storage tank to the total volume of the storage tank. When the liquid level itself is low, if theft occurs, it is more difficult to detect, and the error of the detection result of the gas composition detection device is also large, so the detection frequency should be increased.

[0056] The temperature of the center of the liquid can reflect the temperature change in the tank, and is less affected by the environment. When the ambient temperature fluctuates (such as a sudden rise or fall), it can also avoid the impact of such fluctuations to a certain extent. However, from a macroscopic point of view, no matter which part of the liquid material is affected by the environment, this effect is not immediate.

[0057] S104: When it is detected that the storage tank enters the right - of - claim verification process, fit the first temperature data to obtain a first temperature curve; and while collecting the first temperature data, fit the environmental temperature data of the storage environment collected at the corresponding time to obtain a second temperature curve.

[0058] Both the first temperature curve and the second temperature curve can be curves with time as the horizontal axis and temperature as the vertical axis.

[0059] S106: Determine whether the first temperature curve and the second temperature curve meet the first condition.

[0060] In this specification, if the periods of the first temperature curve and the second temperature curve match (i.e., the error is not large, and the error threshold can be an empirical value), and at the same temperature, the phase of this temperature in the first temperature curve lags behind the phase of this temperature in the second temperature curve (indicating the lag of the temperature change of the liquid in the storage tank), it is determined that the first condition is met.

[0061] In an ideal state, although there is no material exchange between the storage tank and the environment, there is still energy exchange. If the environmental temperature rises, the temperature of the liquid material in the storage tank should also rise. However, due to the heat capacity problem of liquid materials, especially mixtures such as crude oil, its heat capacity is difficult to characterize with the heat capacity of a single component. Affected by factors such as origin, batch, mining conditions, storage capacity of the storage tank, and storage environment, it can be understood that the liquid materials in each storage tank have their own characteristics and are difficult to replicate. That is to say, the first temperature curve, the relationship between the first temperature curve and the second temperature curve, and the laws existing between the two are difficult to imitate.

[0062] If the first condition is met, it indicates that there has been no or no obvious (e.g., across regions) transportation during the storage process of the storage tank, and the possibility of risk behaviors such as theft and vandalism is relatively small.

[0063] If at the same temperature, the phase of this temperature in the first temperature curve is not later than the phase of this temperature in the second temperature curve (indicating that the liquid material in the storage tank is exothermic or endothermic by itself, mostly due to chemical reactions, which may affect the value of the liquid material) (the temperature of the liquid material usually does not fall below the environmental temperature. If so, it may be that materials with the same or different compositions as the liquid material have been re - injected, indicating risks), and if the periods of the first temperature curve and the second temperature curve do not match (indicating that the storage tank may have been transferred to a different storage location).

[0064] In an optional embodiment of this specification, if the first condition is not satisfied, a specified number of groups of second temperature data are determined. The second temperature data are the temperature data of the liquid at a first specified position in the storage tank recorded at intervals of a first time period; the first specified position is obtained by random sampling; the first specified positions corresponding to different groups of second temperature data are different. The temperature curves to be determined that satisfy the first condition with the second temperature curve are used as the third temperature curve; the temperature curves to be determined are obtained by fitting based on the second temperature data. The purpose of this embodiment is to find the liquid position in the storage tank that matches the environment in terms of temperature. For liquid materials such as crude oil, which have complex components and may undergo component and state changes during storage due to environmental influence, their centroids may change over time, and their central positions may not necessarily be the most stable.

[0065] In an optional embodiment of this specification, the specified number is positively correlated with the volume of the storage tank and positively correlated with the duration from the starting moment to the current moment.

[0066] If any of the temperature curves to be determined does not satisfy the first condition with the second temperature curve, a transportation warning is issued; the transportation warning indicates that there has been a risk of position transfer in the history of the storage tank.

[0067] In an optional embodiment, when the capacity of the storage tank is not greater than 1 million barrels and the difference in phase is not greater than 50 days, it is determined that the first condition is satisfied.

[0068] S108: If the first condition is satisfied, the moment when the temperature data at the central part of the liquid in the storage tank at the starting moment in the first temperature curve are the same is used as the first reference moment;

[0069] The first reference moment is used to reproduce the state of the liquid material in the storage tank at the starting moment.

[0070] When using the third temperature curve for judgment, the moment when the temperature data at the central part of the liquid in the storage tank at the starting moment in the third temperature curve are the same is used as the first reference moment.

[0071] S110: Based on the surface temperature, surface pressure, and gas composition of the liquid material collected at the first reference moment, the Clapeyron equation is used for fitting, and the difference between the obtained result and the ideal result under the ideal state is used as the reference value.

[0072] All parameters in this specification can be detected by corresponding detection devices installed inside or outside the storage tank. The Clapeyron equation is an equation used to describe the rate of change of pressure with temperature at two-phase equilibrium in a single-component system. However, there is always a certain difference between the actual situation and the ideal state. Since the first reference moment replicates the starting moment, and the probability of risk events such as theft and transfer is relatively small at the starting moment, this difference can be regarded as an error and is acceptable.

[0073] S112: Based on the data of the surface temperature, surface pressure, and gas composition of the liquid material collected at the current moment, use the Clapeyron equation for fitting, and take the difference between the obtained result and the ideal result under the ideal state as the actual value.

[0074] The current moment and the starting moment are not only different in terms of time, but may also characterize the state change of the liquid material. This change may be reasonable or caused by risk events and needs to be distinguished.

[0075] S114: If the difference between the reference value and the actual value is not greater than a preset first threshold, then use the original liquid level data as the liquid level prediction result.

[0076] If the difference between the reference value and the actual value is not greater than the preset first threshold, it indicates that the difference between the liquid material in the current storage tank and its state during filling is acceptable, and the value of the liquid material is not greatly affected. Then, the original liquid level data can be used for rights confirmation.

[0077] The first threshold can be an empirical value. In an optional embodiment of this specification, the first threshold is positively correlated with the duration from the starting moment to the current moment, and can also be related to the type of liquid material. Materials such as crude oil are relatively unstable. The first threshold used for the first reference moment obtained based on the third temperature curve is less than the first threshold used for the first reference moment obtained based on the first temperature curve. Using the third temperature curve may be due to situations such as the sedimentation or precipitation of crude oil components, which indicates that the quality of the crude oil has deteriorated even without illegal events and needs to be carefully distinguished.

[0078] When predicting the liquid level of a storage tank, the method in this specification examines the matching situation between the change in environmental temperature and the change in the temperature of the liquid level material in the storage tank during the historical storage process. Based on this, the risks during the storage process of the storage tank are identified, and thus, the change in the liquid level of the liquid material can be predicted to a certain extent. Then, it also combines with the change in the state of the liquid material during the storage process to determine whether the prediction of the liquid level change is reliable. It can be seen that the method in this specification realizes the management of the detection results and prediction results of the storage tank through technical means, and can effectively reduce the risk of title confirmation in scenarios such as mortgage and transaction.

[0079] In an optional embodiment of this specification, if the difference between the reference value and the actual value is greater than the first threshold, an artificial review warning is issued to introduce manual processing.

[0080] In another optional embodiment of this specification, if the difference between the reference value and the actual value is greater than the first threshold (indicating the risk of possible state change of the liquid material or possible illegal acts such as theft), it is determined whether the second condition is satisfied. Among them, if the rate of change of the temperature detected at the second specified position within the time interval of the specified duration to which the second reference time belongs is not greater than the preset rate threshold (indicating that there is no obvious influx of other materials in each layer of the liquid material in the storage tank), the second condition is satisfied (satisfying the second condition indicates no theft risk); the second reference time is the time when the difference between the result of fitting the data of the surface temperature, surface pressure, and gas composition of the liquid material collected at each time using the Clapeyron equation and the ideal result in the ideal state is greater than the second threshold (the second threshold is an empirical value); the second specified position is the position with the largest temperature change amount within the time interval of the specified duration to which the second reference time belongs in the storage tank. If the second condition is satisfied, an artificial review warning is issued (the risk is small, check for theft traces). If the second condition is not satisfied, a liquid material loss warning is issued, indicating that the risk is relatively large and the security department needs to intervene. The specified duration is positively correlated with the difference between the reference value and the actual value.

[0081] The device can execute the method in any of the foregoing embodiments and can obtain the same or similar technical effects, which will not be elaborated here.

[0082] Figure 2 It is a schematic structural diagram of an electronic device according to an embodiment of the present application. Please refer to Figure 2, at the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include internal memory, such as high-speed random access memory (Random-Access Memory, RAM), and may also include non-volatile memory, such as at least one disk memory, etc. Of course, the electronic device may also include other hardware required for other services.

[0083] The processor, network interface, and memory can be interconnected through the internal bus, and the internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, Figure 2 only a bidirectional arrow is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0084] The memory is used to store programs. Specifically, the program can include program code, and the program code includes computer operation instructions. The memory can include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0085] The processor reads the corresponding computer program from the non-volatile memory into the internal memory and then runs it, forming a device for intelligent prediction of the liquid level in the storage tank at the logical level. The processor executes the program stored in the memory and is specifically used to execute any one of the aforementioned methods for intelligent prediction of the liquid level in the storage tank.

[0086] The above is as described in this application Figure 1A method for intelligent prediction of the liquid level in a storage tank disclosed in the illustrated embodiment can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in the processor or the instructions in the form of software. The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as being executed and completed by the hardware decoding processor, or executed and completed by a combination of the hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method.

[0087] The electronic device can also execute Figure 1 a method for intelligent prediction of the liquid level in a storage tank in Figure 1 and implement the functions of the illustrated embodiment, which will not be elaborated herein in the embodiments of the present application.

[0088] The embodiments of the present application also propose a computer-readable storage medium that stores one or more programs. The one or more programs include instructions that, when executed by an electronic device including a plurality of application programs, execute any of the aforementioned methods for intelligent prediction of the liquid level in a storage tank.

[0089] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0090] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a means for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0091] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction means that implements the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0093] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0094] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0095] A computer-readable medium includes both permanent and non-permanent, removable and non-removable media and can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage, or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0096] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but also other elements not expressly listed, or elements that are inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0097] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a method, system, or computer program product. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0098] The above description is only for the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for intelligent prediction of the liquid level in a storage tank, characterized in that, The method is executed by a liquid level prediction system, and the method includes: After a specified time period for filling the liquid material into the storage tank is completed, the liquid level data collected by the liquid level gauge is recorded as the original liquid level data; the moment when the original liquid level data is collected is used as the starting moment; Every first time period, the temperature data at the central part of the liquid material in the storage tank is recorded once as the first temperature data; When it is detected that the storage tank enters the confirmation right link, the first temperature data is fitted to obtain a first temperature curve; and the environmental temperature data of the storage environment corresponding to the first temperature data in time is collected and fitted to obtain a second temperature curve; Judge whether the first temperature curve and the second temperature curve meet the first condition; wherein, if the periods of the first temperature curve and the second temperature curve match and at the same temperature, the phase of the temperature in the first temperature curve lags behind the phase of the temperature in the second temperature curve, it is determined that the first condition is met; If the first condition is met, the moment when the temperature data at the central part of the liquid in the storage tank is the same as that at the starting moment in the first temperature curve is used as the first reference moment; Based on the surface temperature, surface pressure, and gas composition of the liquid material collected at the first reference moment, the Clapeyron equation is used for fitting, and the difference between the obtained result and the ideal result under the ideal state is used as the reference value; Based on the data of the surface temperature, surface pressure, and gas composition of the liquid material collected at the current moment, the Clapeyron equation is used for fitting, and the difference between the obtained result and the ideal result under the ideal state is used as the actual value; If the difference between the reference value and the actual value is not greater than a preset first threshold, the original liquid level data is used as the liquid level prediction result; If the difference between the reference value and the actual value is greater than the first threshold, judge whether the second condition is met; wherein, if the temperature change rate at the second specified position is not greater than the preset rate threshold within the time interval of the specified duration to which the second reference moment belongs, the second condition is met; the second reference moment is the moment when the difference between the result of fitting the data of the surface temperature, surface pressure, and gas composition of the liquid material collected at each moment using the Clapeyron equation and the ideal result under the ideal state is greater than the second threshold; the second specified position is the position with the largest temperature change amount within the time interval of the specified duration to which the second reference moment belongs in the storage tank; If the second condition is not met, a warning of liquid material loss is issued.

2. The method according to claim 1, wherein The method further includes: If the first condition is not met, a specified number of groups of second temperature data are determined; the second temperature data is the temperature data at the first specified position of the liquid in the storage tank recorded every first time period; the first specified position is obtained by random sampling; the first specified positions corresponding to different groups of second temperature data are different; The temperature curve to be determined and the second temperature curve that satisfy the first condition are used as the third temperature curve; the temperature curve to be determined is obtained by fitting based on the second temperature data; The moment in the third temperature curve that is the same as the temperature data at the central part of the liquid in the storage tank at the starting moment is used as the first reference moment.

3. The method according to claim 2, wherein The method further includes: The first threshold value used at the first reference moment obtained based on the third temperature curve is less than the first threshold value used at the first reference moment obtained based on the first temperature curve.

4. The method according to claim 2, wherein The method further includes: If any of the temperature curves to be determined and the second temperature curve do not satisfy the first condition, a transportation warning is issued; the transportation warning indicates that there is a risk of position transfer in the history of the storage tank.

5. The method according to claim 1, wherein The method further includes: The duration of the specified time period is negatively correlated with the temperature of the environment where the storage tank is located, and is positively correlated with the ratio of the liquid surface area of the storage tank to the value of the volume represented by the original volume data.

6. The method according to claim 1, wherein The method further includes: The first threshold value is positively correlated with the duration from the starting moment to the current moment.

7. The method according to claim 1, wherein The method further includes: When the difference in the phases is not greater than 50 days, it is determined that the first condition is satisfied.

8. An electronic device, comprising: A processor; And A memory arranged to store computer-executable instructions, and the executable instructions, when executed, cause the processor to execute the method according to any one of claims 1 to 7.

Images