Tail oil prediction method, system, storage medium and electronic device for refined oil pipeline

Abstract

The present invention relates to the field of pipeline safety technology, specifically disclosing a method, system, storage medium, and electronic device for predicting tail oil in a refined oil pipeline. The method comprises: constructing a tail oil prediction model for a target refined oil pipeline; and, when a target batch of refined oil reaches the final destination of the target refined oil pipeline, determining a predicted tail oil concentration value for the target batch of refined oil based on the tail oil prediction model. The present invention can accurately predict the tail oil concentration in a refined oil pipeline, providing technical support for monitoring the quality of oil transportation in refined oil pipelines.

Description

Technical Field

[0001] The present invention relates to the field of pipeline safety technology, and in particular to a method, system, storage medium and electronic equipment for predicting tail oil in a finished oil pipeline. Background Art

[0002] Long-distance pipelines typically transport refined oil products in alternating order, using gasoline and diesel. This process creates a period of mixed oil at the gasoline-diesel interface, with the amount increasing with longer transportation distances. This mixed oil section is defined as the percentage of one oil product in another, ranging from 1% to 99%. This mixed oil section is then cut online at the pipeline's terminal and transferred to a mixing tank. The oil then leaves the station for trade delivery.

[0003] After the mixed oil is cut, the subsequent oil batch will still contain some of the previous oil in the oil head (the proportion ranges from 1% to 0%). This part of the previous oil comes partly from convection and diffusion at the oil mixing point, and partly from the previous oil adsorbed on the pipe wall during transportation, which is then washed away by the subsequent oil and mixed with the subsequent oil. These two parts of the previous oil are collectively called tail oil.

[0004] Generally speaking, the amount of tail oil produced by diffusion is relatively small, and the impact range is also limited, generally not exceeding 100 meters. There are corresponding mature convection-diffusion models for calculation. However, the impact range of tail oil produced by the shedding of wall-mounted oil can reach several kilometers or even more than ten kilometers. Although tail oil accounts for a small proportion of the downstream oil product, it still causes some key oil product indicators (such as diesel flash point and gasoline final distillation point) to attenuate, thereby affecting the quality control of oil products during pipeline transportation. Due to the small proportion of tail oil, it is difficult to track and calculate it through on-site density meter monitoring. Therefore, it is necessary to develop a tail oil calculation model to calculate the impact range and amount of tail oil.

[0005] Therefore, it is urgent to provide a technical solution to solve the above problems. Summary of the Invention

[0006] In order to solve the above technical problems, the present invention provides a method, system and storage medium for predicting tail oil in a finished oil pipeline.

[0007] In a first aspect, the present invention provides a method for predicting tail oil in a product oil pipeline. The technical solution of the method is as follows:

[0008] Construct a tail oil prediction model for the target refined oil pipeline;

[0009] When the target batch of refined oil reaches the terminal of the target refined oil pipeline, the predicted tail oil concentration value of the target batch of refined oil is determined according to the tail oil prediction model.

[0010] The beneficial effects of the method for predicting tail oil in a product oil pipeline of the present invention are as follows:

[0011] The method of the present invention can accurately predict the concentration of tail oil in a finished oil pipeline, providing technical support for monitoring the oil transportation quality of the finished oil pipeline.

[0012] Based on the above solution, the method for predicting tail oil in a finished oil pipeline of the present invention can be further improved as follows.

[0013] In an optional manner, the step of constructing a tail oil prediction model for a target product oil pipeline includes:

[0014] On the basis of setting the wall surface of the target product oil pipeline as a single-layer adsorption wall surface, a tail oil prediction model of the target product oil pipeline is constructed using a theoretical adsorption model.

[0015] In an optional manner, the trailing oil prediction model is: in, θ is the predicted concentration of tail oil, t is the running time of the target batch of finished oil, x is the length of the target finished oil pipeline, K a is the adsorption constant, K b is the desorption constant.

[0016] In an optional manner, the method further includes:

[0017] Collecting the measured concentration value of the tail oil when the target batch of refined oil reaches the terminal of the target refined oil pipeline;

[0018] When the concentration difference between the predicted tail oil concentration value and the measured tail oil concentration value is greater than a preset value, an early warning message is output.

[0019] In a second aspect, the present invention provides a system for predicting tail oil in a product oil pipeline. The technical solution of the system is as follows:

[0020] Includes: building module and prediction module;

[0021] The construction module is used to: construct a tail oil prediction model for a target product oil pipeline;

[0022] The prediction module is used to determine the predicted concentration value of the tail oil of the target batch of finished oil according to the tail oil prediction model when the target batch of finished oil reaches the terminal of the target finished oil pipeline.

[0023] The beneficial effects of the product oil pipeline tail oil prediction system of the present invention are as follows:

[0024] The system of the present invention can accurately predict the concentration of tail oil in the finished oil pipeline, providing technical support for the quality monitoring of oil transportation in the finished oil pipeline.

[0025] Based on the above solution, the tail oil prediction system for a finished oil pipeline of the present invention can be further improved as follows.

[0026] In an optional manner, the building block is specifically used to:

[0027] On the basis of setting the wall surface of the target product oil pipeline as a single-layer adsorption wall surface, a tail oil prediction model of the target product oil pipeline is constructed using a theoretical adsorption model.

[0028] In an optional manner, the trailing oil prediction model is: in, θ is the predicted concentration of tail oil, t is the running time of the target batch of finished oil, x is the length of the target finished oil pipeline, K a is the adsorption constant, K b is the desorption constant.

[0029] In an optional manner, the method further includes: an acquisition module and a comparison module;

[0030] The acquisition module is used to: collect the measured concentration value of the tail oil when the target batch of refined oil runs to the terminal of the target refined oil pipeline;

[0031] The comparison module is configured to output warning information when a concentration difference between the predicted tailing oil concentration value and the measured tailing oil concentration value is greater than a preset value.

[0032] In a third aspect, the present invention provides a storage medium with the following technical solution:

[0033] The storage medium stores instructions, and when a computer reads the instructions, the computer is caused to execute the steps of a method for predicting tail oil in a finished oil pipeline according to the present invention.

[0034] In a fourth aspect, the technical solution of an electronic device of the present invention is as follows:

[0035] The method comprises a memory, a processor and a program stored in the memory and running on the processor, wherein when the processor executes the program, the method realizes the steps of a method for predicting tail oil in a finished oil pipeline according to the present invention.

[0036] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the drawings. In the drawings:

[0038] Figure 1 A schematic flow chart of an embodiment of a method for predicting tail oil in a product oil pipeline provided by the present invention is shown;

[0039] Figure 2 A structural schematic diagram of an embodiment of a product oil pipeline tail oil prediction system provided by the present invention is shown. DETAILED DESCRIPTION

[0040] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0041] Figure 1 FIG. 1 is a flow chart showing an embodiment of a method for predicting tail oil in a product oil pipeline provided by the present invention. Figure 1 As shown, the following steps are included:

[0042] Step 110: Construct a tail oil prediction model for the target product oil pipeline.

[0043] ① The target refined oil pipeline is: any randomly selected refined oil pipeline.

[0044] ②The tail oil prediction model is:

[0045] Step 120: When the target batch of refined oil reaches the terminal of the target refined oil pipeline, the predicted tail oil concentration value of the target batch of refined oil is determined according to the tail oil prediction model.

[0046] ① The target batch of finished oil is: an arbitrarily selected batch of finished oil.

[0047] ② The predicted concentration value of tail oil is: the concentration value determined by the tail oil prediction model, that is, the proportion of tail oil in the total amount of pipeline liquid.

[0048] Preferably, step 110 includes:

[0049] On the basis of setting the wall surface of the target product oil pipeline as a single-layer adsorption wall surface, a tail oil prediction model of the target product oil pipeline is constructed using a theoretical adsorption model.

[0050] The theoretical adsorption model is: θr is the concentration value of the wall hanging oil at adsorption equilibrium, It is the maximum concentration that can be achieved when adsorption does not occur.

[0051] Preferably, the tail oil prediction model is: in, θ is the predicted concentration of tail oil, t is the running time of the target batch of finished oil, x is the length of the target finished oil pipeline, K a is the adsorption constant, K b is the desorption constant.

[0052] It should be noted that the construction process of the tail oil prediction model is as follows:

[0053] 1) The actual adsorption process in a refined oil pipeline is likely a multilayer adsorption process, with the strongest adsorption occurring in the first layer of molecules closest to the pipe wall. To facilitate the introduction of the theoretical adsorption model, we assume that the target refined oil pipeline wall is a single-layer adsorption surface. The dynamics of the Langmuir model single-layer adsorption are expressed using the theoretical adsorption model as follows:

[0054] 2) Integrating the above model, the initial adsorption concentration of the downstream oil is 0, the concentration inside the tube is θ, and the function of concentration with time is:

[0055] 3) After a long enough time, the adsorption and desorption processes occur simultaneously and reach a dynamic equilibrium, and the concentration in the adsorption layer reaches a stable state: in, Assuming that adsorption and desorption can reach dynamic equilibrium during the operation of the downstream oil product, then after equilibrium:

[0056]

[0057] 4) After equilibrium, the concentration of the wall-mounted oil and the subsequent oil concentration change rate are: At this time, only the effect of wall-mounted oil desorption is considered. Since adsorption and desorption are opposite processes, it is assumed that there is a relationship between adsorption and desorption a+b=1. Therefore, the concentration of wall-mounted oil and the subsequent oil concentration change rate are:

[0058] 5) Introducing the time term of the one-dimensional oil mixing model into the above equation, the model considering the influence of wall oil on oil mixing is as follows: After simplification, the following model is obtained:

[0059] Preferably, it also includes:

[0060] Step 130: Collect the measured concentration value of the tail oil when the target batch of refined oil reaches the terminal of the target refined oil pipeline.

[0061] The measured concentration value of the trailing oil is: the concentration value of the trailing oil obtained by actual measurement.

[0062] Step 140: When the difference between the predicted tail oil concentration value and the measured tail oil concentration value is greater than a preset value, output a warning message.

[0063] ①The preset value can be set according to actual needs and there is no limit here.

[0064] ② The warning information can be sound warning information, light warning information, text warning information, etc., and there is no restriction here.

[0065] ③The warning information is output to the target terminal, which includes but is not limited to: computers, mobile phones, tablets, etc.

[0066] The technical solution of this embodiment can accurately predict the concentration of tail oil in the finished oil pipeline, providing technical support for the quality monitoring of oil transportation in the finished oil pipeline.

[0067] Figure 2 FIG. 1 shows a schematic diagram of an embodiment of a product oil pipeline tail oil prediction system provided by the present invention. Figure 2 As shown, the system 200 includes a construction module 210 and a prediction module 220 .

[0068] The construction module 210 is used to: construct a tail oil prediction model for a target product oil pipeline;

[0069] The prediction module 220 is used to determine the predicted tail oil concentration value of the target batch of refined oil according to the tail oil prediction model when the target batch of refined oil reaches the terminal of the target refined oil pipeline.

[0070] Preferably, the construction module 210 is specifically used to:

[0071] On the basis of setting the wall surface of the target product oil pipeline as a single-layer adsorption wall surface, a tail oil prediction model of the target product oil pipeline is constructed using a theoretical adsorption model.

[0072] Preferably, the tail oil prediction model is: in, θ is the predicted concentration of tail oil, t is the running time of the target batch of finished oil, x is the length of the target finished oil pipeline, K a is the adsorption constant, K b is the desorption constant.

[0073] Preferably, it further comprises: an acquisition module and a comparison module;

[0074] The acquisition module is used to: collect the measured concentration value of the tail oil when the target batch of refined oil runs to the terminal of the target refined oil pipeline;

[0075] The comparison module is configured to output warning information when a concentration difference between the predicted tailing oil concentration value and the measured tailing oil concentration value is greater than a preset value.

[0076] The technical solution of this embodiment can accurately predict the concentration of tail oil in the finished oil pipeline, providing technical support for the quality monitoring of oil transportation in the finished oil pipeline.

[0077] The above-mentioned parameters and steps for each module to implement corresponding functions in the finished oil pipeline tail oil prediction system 200 of this embodiment can refer to the parameters and steps in the embodiment of the finished oil pipeline tail oil prediction method above, and will not be repeated here.

[0078] A storage medium provided in an embodiment of the present invention includes: instructions stored in the storage medium, and when a computer reads the instructions, the computer executes the steps of a method for predicting tail oil in a finished oil pipeline. For details, please refer to the various parameters and steps in the embodiment of the method for predicting tail oil in a finished oil pipeline described above, which will not be repeated here.

[0079] Computer storage media such as USB flash drives, mobile hard drives, etc.

[0080] An embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. The electronic device is characterized in that when the processor executes the computer program, the computer is caused to execute steps of a method for predicting tail oil in a refined oil pipeline. For details, reference may be made to the various parameters and steps in the embodiment of the method for predicting tail oil in a refined oil pipeline described above, which will not be elaborated upon here.

[0081] Those skilled in the art will appreciate that the present invention can be implemented as a method, a system, a storage medium, and an electronic device.

[0082] Therefore, the present invention may be embodied in the following forms: entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." Furthermore, in some embodiments, the present invention may be embodied in the form of a computer program product embodied in one or more computer-readable media, the computer-readable media containing computer-readable program code. Any combination of one or more computer-readable media may be employed. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. Although embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are exemplary and are not intended to limit the present invention. Those skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for predicting tail oil in a product oil pipeline, characterized in that: include: On the basis of setting the wall surface of the target product oil pipeline as a single-layer adsorption wall surface, a tail oil prediction model of the target product oil pipeline is constructed using a theoretical adsorption model; When the target batch of refined oil reaches the terminal of the target refined oil pipeline, determining the predicted tail oil concentration value of the target batch of refined oil according to the tail oil prediction model; The trailing oil prediction model is: in, θ is the predicted concentration of tail oil, t is the running time of the target batch of finished oil, x is the length of the target finished oil pipeline, K a is the adsorption constant, K b is the desorption constant.

2. The method for predicting tail oil in a product oil pipeline according to claim 1, characterized in that: Also includes: Collecting the measured concentration value of the tail oil when the target batch of refined oil reaches the terminal of the target refined oil pipeline; When the concentration difference between the predicted tail oil concentration value and the measured tail oil concentration value is greater than a preset value, an early warning message is output.

3. A product oil pipeline tail oil prediction system, characterized in that: include: Building modules and prediction modules; The construction module is used to: construct a tail oil prediction model for the target product oil pipeline using a theoretical adsorption model on the basis of setting the wall surface of the target product oil pipeline as a single-layer adsorption wall surface; The prediction module is used to: determine the predicted concentration value of the tail oil of the target batch of refined oil according to the tail oil prediction model when the target batch of refined oil reaches the terminal of the target refined oil pipeline; The trailing oil prediction model is: in, θ is the predicted concentration of tail oil, t is the running time of the target batch of finished oil, x is the length of the target finished oil pipeline, K a is the adsorption constant, K b is the desorption constant.

4. The product oil pipeline tail oil prediction system according to claim 3, characterized in that: Also includes: Acquisition module and comparison module; The acquisition module is used to: collect the measured concentration value of the tail oil when the target batch of refined oil runs to the terminal of the target refined oil pipeline; The comparison module is configured to output warning information when a concentration difference between the predicted tailing oil concentration value and the measured tailing oil concentration value is greater than a preset value.

5. A storage medium, characterized in that The storage medium stores instructions, and when a computer reads the instructions, the computer is caused to execute the method for predicting tail oil in a finished oil pipeline according to claim 1 or 2.

6. An electronic device comprising a memory, a processor, and a program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the steps of the method for predicting tail oil in a finished oil pipeline as claimed in claim 1 or 2 are implemented.

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