An unmanned intelligent control system for oil field unloading platform

Abstract

The present invention discloses an unmanned intelligent control system for an oil field unloading platform, comprising a front-end processing unit and a back-end processing unit which are arranged on the oil field unloading platform, the oil field unloading platform being used to connect to a crude oil processing production line, the front-end processing unit being used to automatically control the oil unloading of a tank truck at the oil field unloading platform, and the back-end processing unit being used to monitor the water content of oil products in the tank truck during the unloading process, in particular, a monitoring situation in which the water content of oil products in the unloading process changes with changes in preset oil product associated parameters is obtained through a water content correction module in the back-end processing unit, thereby determining the corrected water content of the oil products in the unloading process according to the monitoring situation, which is more accurate than the water content obtained by actual detection, and then determining the average water content of the oil products in the unloading process according to the corrected water content of the oil products in the unloading process, thereby being able to automatically detect the water content of the oil products in the unloading process of the tank truck, thereby improving the detection accuracy of the water content of the oil products.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management and control of oil field unloading platforms, and in particular to an unmanned intelligent control system for oil field unloading platforms. Background Art

[0002] In the process of oil field development and construction, the oil field unloading platform is an indispensable key link. Generally speaking, after the tanker truck pulls the crude oil collected from the oil field from the target oil pulling point, it comes to the oil field unloading platform for unloading. The unloaded crude oil is further processed through the subsequent processing production line to finally obtain finished oil. In the above process, considering that the water content in the crude oil will bring difficulties and large losses to the subsequent processing of the crude oil, it is necessary to detect the water content during the unloading process of the tanker truck. At present, the water content of the tanker truck is obtained by real-time detection, and then the staff of the oil field unloading platform evaluates the oil quality of the tanker truck based on the measured water content. This not only increases the burden on the staff, but also is not suitable for large-scale evaluation; in addition, although the water content detection can be achieved to a certain extent, the change of relevant oil parameters in the unloading process does not take into account the possible impact of the water content, resulting in inaccurate water content detection, and it is impossible to effectively evaluate the unloading situation of the tanker truck. Summary of the invention

[0003] To this end, the present invention proposes an unmanned intelligent control system for an oil field unloading platform, which can automatically detect the water content of oil products during the oil tanker unloading process and improve the detection accuracy of the water content of oil products.

[0004] The embodiment of the present invention provides an unattended intelligent control system for an oil field unloading platform, comprising a front-end processing unit and a back-end processing unit arranged at the oil field unloading platform, the oil field unloading platform is used to connect to a crude oil processing production line, wherein the front-end processing unit is used to automatically unload oil from a tanker truck of the oil field unloading platform, and the back-end processing unit is used to monitor the water content of oil products in the tanker truck during the unloading process to configure a transportation route corresponding to the oil products in the tanker truck, and the front-end processing unit is connected to the back-end processing unit;

[0005] The front-end processing unit includes an image recognition module, a vehicle differentiation module, a liquid level monitoring module and an oil unloading weighing module;

[0006] The image recognition module is used to take a photo of the oil tanker at the oil field unloading platform to obtain a target photo, and recognize the target photo based on a pre-trained deep learning neural network to obtain first vehicle information corresponding to the oil tanker;

[0007] The vehicle distinguishing module includes an information acquisition module and an information comparison module, wherein the information comparison module is connected to the information acquisition module, the image recognition module and the oil unloading weighing module respectively, the information acquisition module is used to authenticate the identity of the tanker truck, thereby obtaining the second vehicle information corresponding to the tanker truck, and the information comparison module is used to compare the first vehicle information and the second vehicle information, thereby obtaining a vehicle information comparison result, and when the vehicle information comparison result indicates that the first vehicle information is consistent with the second vehicle information, the vehicle information comparison result is sent to the oil unloading weighing module;

[0008] The liquid level monitoring module is connected to the oil unloading weighing module and is used to monitor the oil level of the tanker in real time during the oil unloading process, and send weighing indication information to the oil unloading weighing module when the oil level is detected to drop to a preset level;

[0009] The oil unloading weighing module is used to start the oil tanker unloading and weigh the current oil tanker to obtain a first weight when the vehicle information comparison result is received, and to stop the oil tanker unloading and weigh the current oil tanker to obtain a second weight when the weighing instruction information is received, and to obtain the difference between the first weight and the second weight to obtain the actual oil unloading amount of the oil tanker;

[0010] The back-end processing unit includes a water content monitoring module, a first parameter judgment module, an oil discharge amount correction module, and a second parameter judgment module;

[0011] The water content monitoring module includes a water content correction module and a water content average module, wherein the water content average module is connected to the water content correction module and the first parameter judgment module respectively, the water content correction module is used to obtain the monitoring situation of the water content of the tanker truck changing with the preset oil product associated parameters during the oil unloading process, and determine the corrected water content of the oil product during the oil unloading process according to the monitoring situation, and the water content average module is used to determine the average water content of the oil product during the oil unloading process according to the corrected water content of the oil product during the oil unloading process;

[0012] The first parameter judgment module is used to judge whether the average water content is within a preset water content threshold range, and if so, send the average water content to the oil unloading amount correction module, otherwise issue a first alarm prompt, and transport the oil product of the tank truck to the crude oil processing production line through a first preset pipeline;

[0013] The oil unloading amount correction module is connected to the first parameter judgment module and is used to determine the ideal oil unloading amount of the tanker according to the average water content;

[0014] The second parameter judgment module is respectively connected to the oil unloading amount correction module and the oil unloading weighing module, and is used to obtain the oil unloading amount difference between the ideal oil unloading amount and the actual oil unloading amount of the tank truck, and judge whether the oil unloading amount difference is within the preset oil unloading amount error range. If so, the oil products of the tank truck are transported to the crude oil processing production line through the second preset pipeline; otherwise, a second alarm is issued, and the oil products of the tank truck are transported to the crude oil processing production line through the first preset pipeline.

[0015] Optionally, in one embodiment of the present invention, the preset oil-related parameters include at least two of the following: an oil flow rate parameter, an oil temperature parameter, an oil exposure time parameter, and an oil aging parameter.

[0016] Optionally, in one embodiment of the present invention, when the preset oil product associated parameters include oil product flow rate parameters, oil product temperature parameters, oil product exposure time parameters and oil product aging parameters, the water content correction module is specifically used to:

[0017] At least two sampling moments are selected during the oil unloading process of the tank truck, and the benchmark water content of the oil corresponding to each sampling moment is detected respectively; the benchmark water content of the oil corresponding to the first sampling moment is used as the corrected water content of the oil corresponding to the first sampling moment, and starting from the second sampling moment, the change values ​​of the oil flow rate parameter, the oil temperature parameter, the oil exposure time parameter and the oil aging parameter corresponding to the current sampling moment and the previous sampling moment are calculated respectively, so as to obtain the change value of the oil flow rate parameter, the oil temperature parameter, the oil exposure time parameter and the oil aging parameter corresponding to the current sampling moment of the oil, and the corrected water content of the oil corresponding to the current sampling moment is calculated by combining the benchmark water content, the oil flow rate parameter change value, the oil temperature parameter change value, the oil exposure time parameter change value and the oil aging parameter change value corresponding to the current sampling moment through a water content correction calculation formula.

[0018] Optionally, in one embodiment of the present invention, the moisture content correction calculation formula is as follows:

[0019] ;

[0020] in, is the corrected water content of the oil product at the current sampling time, is the reference water content of the oil product at the current sampling time, is the change value of the oil product flow rate parameter, is the change value of the oil temperature parameter, is the change value of the oil exposure time parameter, is the change value of the oil aging parameter, is the flow rate impact conversion factor corresponding to the change value of the oil product flow rate parameter, is the temperature impact conversion factor corresponding to the change value of the oil temperature parameter, is the exposure time impact conversion factor corresponding to the change value of the oil product exposure time parameter, is the aging impact conversion factor corresponding to the change value of the oil aging parameter.

[0021] Optionally, in one embodiment of the present invention, the water content mean module includes a sampling weight allocation module and a mean calculation module connected to each other, the sampling weight allocation module is connected to the water content correction module, and the mean calculation module is connected to the first parameter judgment module, the sampling weight allocation module is used to allocate operational weights for the corrected water content corresponding to each sampling moment, for all sampling moments, the difference between the operational weight of the corrected water content corresponding to the next sampling moment and the operational weight of the corrected water content corresponding to the previous sampling moment is a preset weight difference parameter value, and the mean calculation module is used to substitute the corrected water content and the corresponding operational weight of the oil in the oil unloading process into the water content mean calculation formula to calculate the average water content of the oil in the oil unloading process.

[0022] Optionally, in one embodiment of the present invention, the moisture content mean calculation formula is as follows:

[0023] ;

[0024] in, is the average water content of the oil during the unloading process, For oil products The corrected moisture content corresponding to the sampling moment, For oil products The calculation weight of the modified moisture content corresponding to the sampling moment, is the total number of sampling moments, , , For oil products The calculation weight of the modified moisture content corresponding to the sampling moment, For oil products The calculation weight of the modified moisture content corresponding to the sampling moment, is the preset weight difference parameter value.

[0025] Optionally, in one embodiment of the present invention, the oil unloading amount correction module is specifically used to:

[0026] The ideal oil unloading volume of the tanker truck is calculated by combining the oil unloading volume evaluation formula with the average water content of the oil during the unloading process. The oil unloading volume evaluation formula is as follows:

[0027] ;

[0028] in, The ideal oil unloading amount for the tanker. is the preset water content-oil unloading conversion parameter, It is the average water content of the oil during the unloading process.

[0029] Optionally, in one embodiment of the present invention, the information comparison module is further used to:

[0030] In the case where the vehicle information comparison result indicates that the first vehicle information is inconsistent with the second vehicle information, the information content that is different between the first vehicle information and the second vehicle information is screened out to obtain a difference result associated with the first vehicle information and the second vehicle information, and the third vehicle information is generated based on the difference result and the second vehicle information, and the adaptation authority verification is performed on the third vehicle information to obtain an adaptation authority verification result. If the adaptation authority verification result indicates that the third vehicle information has adaptation authority, the adaptation authority verification result is sent to the oil unloading weighing module, otherwise a third alarm prompt is issued.

[0031] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention at least include:

[0032] 1. The water content correction module is used to obtain the monitoring situation of the water content of the oil products in the oil tanker during the oil unloading process as the preset oil product associated parameters change, so as to determine the corrected water content of the oil products in the oil unloading process according to the monitoring situation. The corrected water content takes into account the possible influence of the change of the preset oil product associated parameters in the oil unloading process on the water content, and is more accurate than the water content obtained by actual detection. Then, the average water content of the oil products in the oil unloading process is determined according to the corrected water content of the oil products in the oil unloading process through the water content mean module. The average water content can characterize the actual situation of the water content of the oil products in the oil tanker during the oil unloading process. Therefore, the water content monitoring module of the present invention can automatically detect the water content of the oil products in the oil tanker during the oil unloading process, thereby improving the detection accuracy of the water content of the oil products;

[0033] 2. Based on the water content monitoring module, a first parameter judgment module is set up to judge whether the average water content of the oil tanker during oil unloading is within the preset water content threshold range, so as to verify whether there is a large calculation error in the average water content. If it is within the preset water content threshold range, the average water content is confirmed to be qualified, and the average water content is sent to the oil unloading amount correction module for subsequent processing. Otherwise, a first alarm prompt is issued to warn that there is a problem with the average water content, and the oil products of the oil tanker are transported to the crude oil processing production line through the distinguished first preset pipeline;

[0034] 3. The oil unloading amount correction module and the second parameter judgment module can further judge the relationship between the oil unloading amount difference between the ideal oil unloading amount and the actual oil unloading amount of the oil tanker and the preset oil unloading amount error range, so as to determine whether the actual oil unloading amount of the oil tanker meets the oil unloading amount requirement to a certain extent, that is, if the oil unloading amount difference is within the preset oil unloading amount error range, it is confirmed that the actual oil unloading amount of the oil tanker meets the oil unloading amount requirement, which is different from the first preset pipeline. At this time, the oil products of the oil tanker are transported to the crude oil processing production line through the second preset pipeline. Otherwise, a second alarm prompt is issued to warn that there is a problem with the actual oil unloading amount of the oil tanker, and the oil products of the oil tanker are transported to the crude oil processing production line through the first preset pipeline;

[0035] 4. The image recognition module and vehicle differentiation module of the present invention can cooperate to identify the tank trucks that need to be weighed in the oil field unloading station to prevent the tank trucks from being misplaced in weighing and ensure that each tank truck can be weighed individually and reliably; the liquid level monitoring module can monitor the oil level of the tank truck in real time during the unloading process to prevent the oil level from dropping below the preset level, and when the oil level is detected to drop to the preset level, it sends weighing indication information to the unloading weighing module to instruct the unloading weighing module to weigh; the unloading weighing module can weigh at the two time nodes of starting and stopping the unloading of the tank truck, so as to effectively and reliably obtain the actual unloading amount of the tank truck. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic block diagram of an unattended intelligent control system for an oil field unloading platform provided by one embodiment of the present invention;

[0037] Figure 2 is a schematic block diagram of a front-end processing unit provided by an embodiment of the present invention;

[0038] Figure 3 is a schematic block diagram of a backend processing unit provided by an embodiment of the present invention;

[0039] Figure 4 It is a schematic block diagram of a back-end processing unit provided by another embodiment of the present invention. DETAILED DESCRIPTION

[0040] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0041] It should be noted that, although the functional modules are divided in the device schematic, in some cases, the division may be performed in modules different from those in the device.

[0042] Figure 1 A schematic block diagram of an unmanned intelligent control system for an oil field unloading platform provided by an embodiment of the present invention, Figure 2 A schematic block diagram of a front-end processing unit provided in one embodiment of the present invention. Figure 3 A schematic block diagram of a backend processing unit provided in accordance with an embodiment of the present invention.

[0043] like Figure 1 As shown, the unmanned intelligent control system of the oil field unloading platform may include but is not limited to: a front-end processing unit and a back-end processing unit arranged at the oil field unloading platform, the oil field unloading platform is used to connect to the crude oil processing production line, wherein the front-end processing unit is used to automatically unload the oil tanker at the oil field unloading platform, and the back-end processing unit is used to monitor the water content of the oil in the tanker during the unloading process to configure the corresponding transportation route of the oil in the tanker, the front-end processing unit is connected to the back-end processing unit, wherein the type and parameters of the tanker are not specifically limited, and the unmanned intelligent control system of the oil field unloading platform provided in this embodiment can be applied to any tanker, which will not be elaborated here; the crude oil processing production line is used to process the crude oil provided by the oil field unloading platform, and its specific layout, production parameters and working conditions need to be set accordingly according to different application scenarios, which is determined by those skilled in the art and is not limited here.

[0044] It can be seen that one of the functions of the oil field unloading platform is to connect with the crude oil processing production line, that is, after the front-end processing unit performs automatic unloading control on the tank truck of the oil field unloading platform and the back-end processing unit monitors the water content of the oil in the tank truck during the unloading process, the oil field unloading platform can determine how to configure the transportation route corresponding to the oil in the tank truck, and then connect with the crude oil processing production line based on the configured transportation route, so as to realize the connection between the oil field unloading platform and the crude oil processing production line; wherein, the oil field unloading platform can realize automatic weighing, automatic monitoring of water content and automatic configuration of transportation routes by setting up the front-end processing unit and the back-end processing unit, so as to realize intelligent control. Compared with the relevant existing technologies, the automation and intelligence are higher, and there is no need to arrange relevant staff to be on duty at the oil field unloading platform, so as to achieve the purpose of unmanned intelligent control of the oil field unloading platform, reduce the consumption of human resources, and help improve the overall operational efficiency of the oil field unloading platform.

[0045] like Figure 2As shown, the front-end processing unit may include, but is not limited to, an image recognition module, a vehicle differentiation module, a liquid level monitoring module, and an oil unloading weighing module;

[0046] An image recognition module, used for taking a photo of a tanker truck at an oil field unloading platform to obtain a target photo, and recognizing the target photo based on a pre-trained deep learning neural network to obtain first vehicle information corresponding to the tanker truck;

[0047] The vehicle distinguishing module includes an information acquiring module and an information comparing module, wherein the information comparing module is respectively connected to the information acquiring module, the image recognition module and the oil unloading weighing module, the information acquiring module is used to authenticate the identity of the oil tanker, thereby obtaining the second vehicle information corresponding to the oil tanker, and the information comparing module is used to compare the first vehicle information with the second vehicle information, thereby obtaining a vehicle information comparison result, and when the vehicle information comparison result indicates that the first vehicle information is consistent with the second vehicle information, the vehicle information comparison result is sent to the oil unloading weighing module;

[0048] The liquid level monitoring module is connected to the oil unloading weighing module and is used to monitor the oil level of the tanker in real time during the oil unloading process, and send weighing indication information to the oil unloading weighing module when the oil level is detected to drop to a preset level;

[0049] The oil unloading weighing module is used to start the oil unloading of the oil tanker and weigh the current oil tanker upon receiving the vehicle information comparison result, so as to obtain a first weight, and to stop the oil unloading of the oil tanker and weigh the current oil tanker upon receiving the weighing instruction information, so as to obtain a second weight, and obtain the difference between the first weight and the second weight, so as to obtain the actual oil unloading amount of the oil tanker;

[0050] It can be seen that the image recognition module and the vehicle differentiation module can cooperate to identify the tanker trucks that need to be weighed in the oil field unloading station to prevent the tanker trucks from being misplaced in weighing and ensure that each tanker truck can be weighed individually and reliably; the liquid level monitoring module can monitor the oil level of the tanker truck in real time during the unloading process to prevent the oil level from dropping below the preset level, and when the oil level is detected to drop to the preset level, it sends weighing indication information to the unloading weighing module to instruct the unloading weighing module to weigh; the unloading weighing module can weigh at the two time nodes of starting and stopping the unloading of the tanker truck, so as to effectively and reliably obtain the actual unloading amount of the tanker truck.

[0051] In one embodiment, the image recognition module may take photos of the oil tanker at the oil field unloading platform in a variety of ways, and the target photos obtained according to different shooting methods may be different. For example, when the image recognition module uses an infrared locator, the photo of the oil tanker obtained is a photo of its overall appearance; when the image recognition module uses a local explosion-proof camera, a local photo of the oil tanker, such as a license plate photo, a front photo, etc., may be obtained; there may be a variety of ways to identify the target photo based on the pre-trained deep learning neural network. For example, in terms of pre-training, the target photos of multiple oil tankers in a selected historical period are normalized, and then all the normalized input data are input into the input layer of the deep learning neural network, and finally the trained vehicle information of the oil tanker corresponding to the target photo is output through the output layer of the deep learning neural network. Since the deep learning neural network is pre-trained, the target photo obtained at this time can be directly input into the pre-trained deep learning neural network, so as to obtain the first vehicle information corresponding to the oil tanker, wherein the first vehicle information may include but is not limited to: vehicle license plate information, vehicle appearance information, vehicle tire information, vehicle front information and vehicle load information, etc., which are not limited here.

[0052] In one embodiment, the information acquisition module may authenticate the identity of the tanker truck in a variety of ways, such as using encrypted authentication to verify the identity information of the tanker truck by generating a preset key, verifying the preset key, and other continuous verification methods. This part of the content is relatively common in this field and is well known to those skilled in the art. To avoid redundancy, it will not be repeated here. The second vehicle information is similar to the first vehicle information, and may include but is not limited to: vehicle license plate information, vehicle appearance information, vehicle tire information, vehicle head information, and vehicle load information, etc. The specific information needs to be determined based on the result of identity authentication, which is not limited here; the vehicle information comparison result indicates that the first vehicle information is consistent with the second vehicle information, that is, the first vehicle information and the second vehicle information are essentially the same. For example, if the first vehicle information only includes the vehicle license plate information and the vehicle tire information, the second vehicle information also only includes the vehicle license plate information and the vehicle tire information, and the vehicle license plate information of the first vehicle information is the same as the vehicle license plate information of the second vehicle information, and the vehicle tire information of the first vehicle information is the same as the vehicle tire information of the second vehicle information.

[0053] In one embodiment, there may be multiple ways to determine the preset liquid level. For example, one way is self-input. An input module may be set at the scale of the oil field unloading platform to allow the driver of the tanker truck to easily input the specific value of the preset liquid level. The input module is connected to the liquid level monitoring module, so that the liquid level monitoring module can promptly know the specific value of the preset liquid level; or, the actual lowest liquid level of the tanker truck is directly used as the preset liquid level; or, the specific value of the preset liquid level is set by random assignment, etc., which is not limited here.

[0054] In one embodiment, the first weight obtained by the oil unloading weighing module is the initial weight of the tanker truck before unloading the oil, and the second weight is the final weight of the tanker truck when unloading the oil is completed. Therefore, the oil unloading weighing module adopts a separate weighing method, and by obtaining the difference between the first weight and the second weight, the accurate actual unloading amount of the tanker truck can be obtained.

[0055] like Figure 3 As shown, the back-end processing unit may include, but is not limited to, a water content monitoring module, a first parameter determination module, an oil discharge amount correction module, and a second parameter determination module;

[0056] The water content monitoring module includes a water content correction module and a water content average module, wherein the water content average module is connected to the water content correction module and the first parameter judgment module respectively, the water content correction module is used to obtain the monitoring situation of the water content of the tanker truck during the oil unloading process changing with the preset oil product associated parameters, and determine the corrected water content of the oil product during the oil unloading process according to the monitoring situation, and the water content average module is used to determine the average water content of the oil product during the oil unloading process according to the corrected water content of the oil product during the oil unloading process, that is, the water content correction module is used to obtain the water content of the oil product during the oil unloading process of the tanker truck as the preset oil product associated parameters change. The monitoring situation of the oil product in the oil unloading process is determined according to the monitoring situation, and the corrected water content of the oil product in the oil unloading process is determined according to the monitoring situation. The corrected water content takes into account the possible influence of the change of the preset oil product associated parameters in the oil unloading process on the water content, and is more accurate than the water content obtained by actual detection. Then, the average water content of the oil product in the oil unloading process is determined according to the corrected water content of the oil product in the oil unloading process through the water content mean value module. The average water content can characterize the actual situation of the water content of the oil product in the oil tanker during the oil unloading process. Therefore, the water content monitoring module of the present invention can automatically detect the water content of the oil product in the oil tanker during the oil unloading process, thereby improving the detection accuracy of the water content of the oil product;

[0057] The first parameter judgment module is used to judge whether the average water content is within a preset water content threshold range. If so, the average water content is sent to the oil unloading amount correction module. Otherwise, a first alarm is issued and the oil product of the tank truck is transported to the crude oil processing production line through a first preset pipeline.

[0058] An oil unloading amount correction module, connected to the first parameter judgment module, is used to determine the ideal oil unloading amount of the tanker according to the average water content;

[0059] The second parameter judgment module is connected to the oil unloading amount correction module and the oil unloading weighing module respectively, and is used to obtain the oil unloading amount difference between the ideal oil unloading amount and the actual oil unloading amount of the oil tanker, and judge whether the oil unloading amount difference is within the preset oil unloading amount error range. If so, the oil product of the oil tanker is transported to the crude oil processing production line through the second preset pipeline; otherwise, a second alarm prompt is issued, and the oil product of the oil tanker is transported to the crude oil processing production line through the first preset pipeline;

[0060] It can be seen that on the basis of the water content monitoring module, a first parameter judgment module is set up to judge whether the average water content in the process of oil tanker unloading is within the preset water content threshold range, so as to verify whether there is a large calculation error in the average water content. If it is within the preset water content threshold range, the average water content is confirmed to be qualified, and the average water content is sent to the oil unloading amount correction module for subsequent processing. Otherwise, a first alarm is issued to warn that there is a problem with the average water content, and the oil products of the oil tanker are transported to the crude oil processing production line through the distinguished first preset pipeline; through the oil unloading amount correction module and the second parameter judgment module The block can further judge the relationship between the difference between the ideal unloading volume and the actual unloading volume of the tanker truck and the preset unloading volume error range, so as to determine whether the actual unloading volume of the tanker truck meets the unloading volume requirement to a certain extent, that is, if the unloading volume difference is within the preset unloading volume error range, then it is confirmed that the actual unloading volume of the tanker truck meets the unloading volume requirement, which is different from the first preset pipeline. At this time, the oil products of the tanker truck are transported to the crude oil processing production line through the second preset pipeline. Otherwise, a second alarm is issued to warn that there is a problem with the actual unloading volume of the tanker truck, and the oil products of the tanker truck are transported to the crude oil processing production line through the first preset pipeline.

[0061] In one embodiment, the preset oil product associated parameters may include but are not limited to at least two of the following: an oil product flow rate parameter, an oil product temperature parameter, an oil product exposure time parameter and an oil product aging parameter, wherein the oil product flow rate parameter characterizes the real-time flow rate of the oil product in the tank truck during the unloading process, the oil product temperature parameter characterizes the real-time temperature of the oil product in the tank truck during the unloading process, the oil product exposure time parameter characterizes the continuous exposure time of the oil product in the air in the unloading process, and the oil product aging parameter characterizes the real-time aging degree of the oil product in the tank truck during the unloading process.

[0062] It should be noted that there may be multiple ways to set the preset water content threshold interval and the preset oil unloading volume error range, which need to be determined accordingly according to the actual application scenario and are not limited here; the prompting methods of the first alarm prompt and the second alarm prompt may be set to be different, so as to distinguish whether the prompt is the first alarm prompt or the second alarm prompt, for example, the first alarm prompt uses a buzzer for prompting, and the second alarm prompt uses a vibration alarm for prompting, etc., which are not limited here; the method of distinguishing the first preset pipeline from the second preset pipeline is not regarded as distinguishing and restricting the specific setting parameters of the first preset pipeline or the second preset pipeline, that is, the specific setting parameters of the first preset pipeline and the second preset pipeline need to be determined according to the crude oil, for example, an oil pipeline is used to transport crude oil to a designated preset pipeline through a power source. On the road, during the oil transportation process, the crude oil provided by the oil field unloading platform flows to the oil pipeline at the output end through the oil transportation equipment at the input end, such as oil pumps, valves, etc.; during the operation of the first preset pipeline or the second preset pipeline, it is necessary to meet the requirements of different oil producing areas and the quality of the final oil products. Therefore, when the preset pipeline transports different oils, it is necessary to select different pipeline materials and flow media. For example, for low-viscosity crude oil, a small-diameter pipeline can be used, while a larger-diameter pipeline is required for high-viscosity crude oil; for different types of crude oil, the corresponding preset pipeline and oil transportation equipment can be selected according to their density, viscosity and other characteristics, and there is no restriction here; in addition, for the corresponding preset pipeline, various measurements and controls are also required, such as real-time measurement of oil flow, pressure control, etc., to ensure the oil flow speed and quality, and ensure smooth oil transmission.

[0063] In one embodiment, when the preset oil product associated parameters include oil product flow rate parameters, oil product temperature parameters, oil product exposure time parameters and oil product aging parameters, the water content correction module can be, but is not limited to, specifically used for:

[0064] At least two sampling moments are selected during the oil unloading process of the tank truck, and the benchmark water content corresponding to the oil product at each sampling moment is detected respectively; the benchmark water content corresponding to the oil product at the first sampling moment is used as the corrected water content corresponding to the oil product at the first sampling moment, and starting from the second sampling moment, the change values ​​of the oil product flow rate parameter, oil product temperature parameter, oil product exposure time parameter and oil product aging parameter corresponding to the current sampling moment and the previous sampling moment are calculated respectively, so as to obtain the change value of the oil product flow rate parameter, oil product temperature parameter, oil product exposure time parameter and oil product aging parameter corresponding to the oil product at the current sampling moment, and the corrected water content corresponding to the oil product at the current sampling moment is calculated by combining the benchmark water content corresponding to the oil product at the current sampling moment, the change value of the oil product flow rate parameter, the change value of the oil product temperature parameter, the change value of the oil product exposure time parameter and the change value of the oil product aging parameter.

[0065] It can be seen that on the basis of detecting the benchmark water content corresponding to the oil product at each sampling moment, starting from the second sampling moment, the change values ​​of the preset oil product associated parameters corresponding to the two previous and subsequent sampling moments of the oil product are calculated respectively, or the difference is called the difference, and the oil product flow rate parameter change values, oil product temperature parameter change values, oil product exposure time parameter change values ​​and oil product aging parameter change values ​​corresponding to adjacent sampling moments can be obtained. These change values ​​specifically characterize the changes in the relevant preset oil product associated parameters, and thus the corrected water content corresponding to the oil product at the current sampling moment can be accurately and reliably calculated through the water content correction calculation formula combined with the benchmark water content corresponding to the oil product at the current sampling moment, the oil product flow rate parameter change value, oil product temperature parameter change value, oil product exposure time parameter change value and oil product aging parameter change value.

[0066] It should be noted that there is no specific restriction on the number and selection method of sampling moments, and corresponding selections can be made according to different application scenarios. For example, the duration of the unloading process of a tanker truck is According to the uniform sampling method, the sampling period can be set accordingly, such as setting the sampling period to , assuming that sampling begins when the tanker starts unloading the oil, the total number of sampling moments is 10. Alternatively, in accordance with the uneven sampling method, random sampling can be performed during the duration of the tanker unloading process, etc., which is not limited here; since there are no other sampling moments before the first sampling moment, the first sampling moment does not need to be used as a comparison object, and the baseline water content corresponding to the first sampling moment of the oil product can be directly used as the corrected water content corresponding to the oil product at the first sampling moment.

[0067] In one embodiment, the moisture content correction calculation formula may be, but is not limited to, as follows:

[0068] ;

[0069] in, is the corrected water content of the oil product at the current sampling time, is the benchmark water content of the oil product at the current sampling time, is the change value of oil flow rate parameter, is the change value of oil temperature parameter, is the change value of the oil exposure time parameter, is the change value of oil aging parameters, is the velocity impact conversion factor corresponding to the change value of the oil velocity parameter, is the temperature effect conversion factor corresponding to the change value of the oil temperature parameter, is the exposure time impact conversion factor corresponding to the change value of the oil exposure time parameter, is the aging impact conversion factor corresponding to the change value of the oil aging parameter, where: As a part of the water content change related to the oil flow rate parameter, As a part of the water content change related to the oil temperature parameter, As the water content change part related to the oil exposure time parameter and oil aging parameter.

[0070] In one embodiment, if Figure 4 As shown, the water content mean module may include, but is not limited to, a connected sampling weight allocation module and a mean calculation module, the sampling weight allocation module is connected to the water content correction module, the mean calculation module is connected to the first parameter judgment module, the sampling weight allocation module is used to allocate operation weights for the corrected water content corresponding to each sampling moment, for all sampling moments, the difference between the operation weight of the corrected water content corresponding to the next sampling moment allocated and the operation weight of the corrected water content corresponding to the previous sampling moment allocated is a preset weight difference parameter value, the mean calculation module is used to substitute the corrected water content and the corresponding operation weight of the oil product in the oil unloading process into the water content mean calculation formula, and calculate the average water content of the oil product in the oil unloading process, It can be seen that the sampling weight allocation module allocates operation weights to the corrected water content corresponding to each sampling moment, and makes the difference between the operation weight of the corrected water content corresponding to the next sampling moment and the operation weight of the corrected water content corresponding to the previous sampling moment equal to the preset weight difference parameter value, thereby allocating corresponding operation weights to the corrected water content corresponding to each sampling moment. As the sampling moment progresses, the water content of the oil will gradually increase due to factors such as air exposure, temperature rise and accelerated flow rate. In order to match the change in water content, the operation weight is gradually increased as the sampling moment progresses. This is in line with expectations and helps the mean calculation module to further improve the calculation accuracy of the average water content.

[0071] In one embodiment, the formula for calculating the mean moisture content may be, but is not limited to, as follows:

[0072] ;

[0073] in, is the average water content of the oil during the unloading process, For oil products The corrected moisture content corresponding to the sampling time is: For oil products The calculation weight of the corrected moisture content corresponding to each sampling moment, is the total number of sampling moments, , , For oil products The calculation weight of the corrected moisture content corresponding to each sampling moment, For oil products The calculation weight of the corrected moisture content corresponding to each sampling moment, is the preset weight difference parameter value.

[0074] It should be noted that the specific value of the preset weight difference parameter value can be multiple, and can be set accordingly according to the actual application scenario, and is not limited here.

[0075] In one embodiment, the oil discharge amount correction module may be used, but not limited to:

[0076] The ideal oil unloading volume of the tanker truck is calculated by combining the oil unloading volume evaluation formula with the average water content of the oil during the unloading process. The oil unloading volume evaluation formula is as follows:

[0077] ;

[0078] in, The ideal oil unloading amount for the tanker. is the preset water content-oil unloading conversion parameter, It is the average water content of the oil during the unloading process.

[0079] It should be noted that the preset water content-oil unloading amount conversion parameter reflects the conversion between water content and oil unloading amount, and its specific value can be multiple, which is set by technical personnel in this field according to the specific application scenario and is not limited here.

[0080] In one embodiment, the information comparison module can also be used, but is not limited to: when the vehicle information comparison result indicates that the first vehicle information and the second vehicle information are inconsistent, filter out the information content that is different between the first vehicle information and the second vehicle information, thereby obtaining a difference result associated with the first vehicle information and the second vehicle information, and generate the third vehicle information based on the difference result and the second vehicle information, perform adaptation authority verification on the third vehicle information, thereby obtaining an adaptation authority verification result, if the adaptation authority verification result indicates that the third vehicle information has adaptation authority, send the adaptation authority verification result to the oil unloading weighing module, otherwise issue a third alarm prompt. It can be seen that when the vehicle information comparison result indicates that the first vehicle information and the second vehicle information are inconsistent, it means that there must be a certain difference between the first vehicle information and the second vehicle information. Therefore, by filtering out the information content that is different between the first vehicle information and the second vehicle information, the third vehicle information is obtained. The difference result is associated with the first vehicle information and the second vehicle information, and then the third vehicle information is generated according to the difference result and the second vehicle information, and the adaptation authority verification is performed on the third vehicle information, that is, whether the difference result has a substantial impact on the second vehicle information is considered. If no substantial impact is produced, the adaptation authority verification result indicates that the third vehicle information has adaptation authority. In this case, it can be considered that the difference impact between the first vehicle information and the second vehicle information can be ignored, and the adaptation authority verification result is still sent to the oil unloading weighing module, so that the oil unloading weighing module performs corresponding weighing. Otherwise, it means that a substantial impact has occurred, that is, the adaptation authority verification result indicates that the third vehicle information does not have adaptation authority, thereby issuing a third alarm prompt. The third alarm prompt can be set to be different from the prompt mode of the aforementioned first alarm prompt and second alarm prompt, so as to distinguish the alarm prompts of the three and make it easier to identify which specific alarm prompt it is.

[0081] The terms "component", "module", "system", etc. used in this specification are used to represent computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, or a computer. By way of illustration, both applications running on a computing device and a computing device can be components. One or more components may reside in a process or an execution thread, and a component may be located on a computer or distributed between two or more computers. In addition, these components may be executed from various computer-readable media having various data structures stored thereon. Components may communicate, for example, through local or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, or a network, such as the Internet interacting with other systems through signals).

[0082] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0083] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. An unmanned intelligent control system for an oil field unloading platform, characterized in that: It comprises a front-end processing unit and a back-end processing unit which are arranged at the oil field unloading platform, the oil field unloading platform is used to connect with the crude oil processing production line, wherein the front-end processing unit is used to automatically unload the oil from the oil tanker at the oil field unloading platform and determine the actual unloading amount of the oil tanker, and the back-end processing unit is used to monitor the water content of the oil products in the oil tanker during the unloading process to configure the corresponding transportation route of the oil products in the oil tanker, and the front-end processing unit is connected to the back-end processing unit; The back-end processing unit includes a water content monitoring module, a first parameter judgment module, an oil discharge amount correction module, and a second parameter judgment module; The water content monitoring module includes a water content correction module and a water content average module, wherein the water content average module is connected to the water content correction module and the first parameter judgment module respectively, the water content correction module is used to obtain the monitoring situation of the water content of the tanker truck changing with the preset oil product associated parameters during the oil unloading process, and determine the corrected water content of the oil product during the oil unloading process according to the monitoring situation, and the water content average module is used to determine the average water content of the oil product during the oil unloading process according to the corrected water content of the oil product during the oil unloading process; The first parameter judgment module is used to judge whether the average water content is within a preset water content threshold range, and if so, send the average water content to the oil unloading amount correction module, otherwise issue a first alarm prompt, and transport the oil product of the tank truck to the crude oil processing production line through a first preset pipeline; The oil unloading amount correction module is connected to the first parameter judgment module and is used to determine the ideal oil unloading amount of the tanker according to the average water content; The second parameter judgment module is connected to the oil unloading amount correction module and the front-end processing unit respectively, and is used to obtain the oil unloading amount difference between the ideal oil unloading amount and the actual oil unloading amount of the oil tanker, and judge whether the oil unloading amount difference is within the preset oil unloading amount error range. If so, the oil product of the oil tanker is transported to the crude oil processing production line through the second preset pipeline; otherwise, a second alarm is issued, and the oil product of the oil tanker is transported to the crude oil processing production line through the first preset pipeline; Wherein, the oil unloading amount correction module is specifically used for: The ideal oil unloading volume of the tanker truck is calculated by combining the oil unloading volume evaluation formula with the average water content of the oil during the unloading process. The oil unloading volume evaluation formula is as follows: Among them, Y is the ideal oil unloading volume of the tanker truck, k is the preset water content-oil unloading volume conversion parameter, and Q2 is the average water content of the oil during the unloading process.

2. The unmanned intelligent control system for the oil field unloading platform according to claim 1 is characterized in that: The preset oil product related parameters include at least two of the following: an oil product flow rate parameter, an oil product temperature parameter, an oil product exposure time parameter and an oil product aging parameter.

3. The unmanned intelligent control system for the oil field unloading platform according to claim 2 is characterized in that: When the preset oil product associated parameters include oil product flow rate parameters, oil product temperature parameters, oil product exposure time parameters and oil product aging parameters, the water content correction module is specifically used to: At least two sampling moments are selected during the oil unloading process of the tank truck, and the benchmark water content of the oil corresponding to each sampling moment is detected respectively; the benchmark water content of the oil corresponding to the first sampling moment is used as the corrected water content of the oil corresponding to the first sampling moment, and starting from the second sampling moment, the change values ​​of the oil flow rate parameter, the oil temperature parameter, the oil exposure time parameter and the oil aging parameter corresponding to the current sampling moment and the previous sampling moment are calculated respectively, so as to obtain the change value of the oil flow rate parameter, the oil temperature parameter, the oil exposure time parameter and the oil aging parameter corresponding to the current sampling moment of the oil, and the corrected water content of the oil corresponding to the current sampling moment is calculated by combining the benchmark water content, the oil flow rate parameter change value, the oil temperature parameter change value, the oil exposure time parameter change value and the oil aging parameter change value corresponding to the current sampling moment through a water content correction calculation formula.

4. The unmanned intelligent control system for the oil field unloading platform according to claim 3 is characterized in that: The moisture content correction calculation formula is as follows: Among them, Q1 is the corrected water content corresponding to the oil at the current sampling moment, Q0 is the reference water content corresponding to the oil at the current sampling moment, S1 is the oil flow rate parameter change value, S2 is the oil temperature parameter change value, S3 is the oil exposure time parameter change value, S4 is the oil aging parameter change value, α1 is the flow rate influence conversion factor corresponding to the oil flow rate parameter change value, α2 is the temperature influence conversion factor corresponding to the oil temperature parameter change value, α3 is the exposure time influence conversion factor corresponding to the oil exposure time parameter change value, and α4 is the aging influence conversion factor corresponding to the oil aging parameter change value.

5. The unmanned intelligent control system for the oil field unloading platform according to claim 3 is characterized in that: The water content mean module includes a sampling weight allocation module and a mean calculation module connected to each other. The sampling weight allocation module is connected to the water content correction module, and the mean calculation module is connected to the first parameter judgment module. The sampling weight allocation module is used to allocate operation weights for the corrected water content corresponding to each sampling moment. For all sampling moments, the difference between the operation weight of the corrected water content corresponding to the next sampling moment and the operation weight of the corrected water content corresponding to the previous sampling moment is a preset weight difference parameter value. The mean calculation module is used to substitute the corrected water content and the corresponding operation weight of the oil product in the oil unloading process into the water content mean calculation formula to calculate the average water content of the oil product in the oil unloading process.

6. The unmanned intelligent control system for the oil field unloading platform according to claim 5 is characterized in that: The formula for calculating the mean moisture content is as follows: Among them, Q2 is the average water content of the oil during the unloading process, Q i is the corrected water content of the oil product at the i-th sampling time, β i is the calculation weight of the corrected water content of the oil product at the i-th sampling moment, n is the total number of sampling moments, β i+1 -β i =μ,β1+β2+…+β n =1,β i+1 is the calculation weight of the corrected water content of the oil product at the i+1th sampling time, β n is the calculation weight of the corrected water content of the oil product corresponding to the nth sampling moment, and μ is the preset weight difference parameter value.

7. The unmanned intelligent control system for oil field unloading platform according to claim 1 is characterized in that: The front-end processing unit includes an image recognition module, a vehicle differentiation module, a liquid level monitoring module and an oil unloading weighing module; The image recognition module is used to take a photo of the oil tanker at the oil field unloading platform to obtain a target photo, and recognize the target photo based on a pre-trained deep learning neural network to obtain first vehicle information corresponding to the oil tanker; The vehicle distinguishing module includes an information acquisition module and an information comparison module, wherein the information comparison module is connected to the information acquisition module, the image recognition module and the oil unloading weighing module respectively, the information acquisition module is used to authenticate the identity of the tanker truck, thereby obtaining the second vehicle information corresponding to the tanker truck, and the information comparison module is used to compare the first vehicle information and the second vehicle information, thereby obtaining a vehicle information comparison result, and when the vehicle information comparison result indicates that the first vehicle information is consistent with the second vehicle information, the vehicle information comparison result is sent to the oil unloading weighing module; The liquid level monitoring module is connected to the oil unloading weighing module and is used to monitor the oil level of the tanker in real time during the oil unloading process, and send weighing indication information to the oil unloading weighing module when the oil level is detected to drop to a preset level; The oil unloading weighing module is used to start the oil tanker unloading and weigh the current oil tanker upon receiving the vehicle information comparison result, so as to obtain a first weight; and to stop the oil tanker unloading and weigh the current oil tanker upon receiving the weighing instruction information, so as to obtain a second weight, and obtain the difference between the first weight and the second weight, so as to obtain the actual oil unloading amount of the oil tanker.

8. The unmanned intelligent control system for the oil field unloading platform according to claim 7 is characterized in that: The information comparison module is also used for: In the case where the vehicle information comparison result indicates that the first vehicle information is inconsistent with the second vehicle information, the information content that is different between the first vehicle information and the second vehicle information is screened out to obtain a difference result associated with the first vehicle information and the second vehicle information, and the third vehicle information is generated based on the difference result and the second vehicle information, and the adaptation authority verification is performed on the third vehicle information to obtain an adaptation authority verification result. If the adaptation authority verification result indicates that the third vehicle information has adaptation authority, the adaptation authority verification result is sent to the oil unloading weighing module, otherwise a third alarm prompt is issued.

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