Residual oil hydrogenation operation condition optimization method and device, electronic equipment and storage medium

Abstract

The invention provides a residual oil hydrogenation operation condition optimization method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a product state of a residual oil hydrogenation product corresponding to current feeding information based on the current feeding information, the current feeding information comprising current residual oil hydrogenation operation conditions; under the condition that the product state does not meet the preset state, obtaining an optimizable interval of the residual oil hydrogenation operation condition according to an operation condition adjustment instruction and the current residual oil hydrogenation operation condition; based on the optimizable interval of the residual oil hydrogenation operation conditions and an auto-encoder model obtained through pre-training, target optimized residual oil hydrogenation operation conditions are obtained through screening, the auto-encoder model outputs the product state of the residual oil hydrogenation product corresponding to the feeding information based on the input feeding information, and the target optimized residual oil hydrogenation operation conditions are obtained. Therefore, the residual oil hydrogenation operation condition can be objectively and accurately optimized to obtain the target optimized residual oil hydrogenation operation condition.

Description

Technical Field

[0001] The present invention relates to the technical field of residual oil hydroprocessing, and in particular to a residual oil hydroprocessing operating condition optimization method, device, electronic equipment and storage medium. Background Art

[0002] The residue oil hydrogenation unit is an important part of the refinery. It is the leading unit for residue oil treatment. Its operating status and economic benefits are directly related to the overall benefits of the entire refinery. In the actual residue oil hydrogenation processing production process, in order to ensure the economic benefits of the entire plant and the stable operation of the unit, the blending ratio of the feed residue oil and wax oil of the residue oil hydrogenation unit will change on average every 3 to 5 days, and the yield of the corresponding residue oil hydrogenation product will change. When the feed of the unit changes, in order to maintain the stable yield of the residue oil hydrogenation product, the residue oil hydrogenation operating conditions need to be correspondingly optimized.

[0003] However, the current optimization of residue hydroprocessing operating conditions is often based on human experience, resulting in the lack of objectivity and accuracy of the optimized residue hydroprocessing operating conditions. Therefore, finding a method that can objectively and accurately optimize the residue hydroprocessing operating conditions has become a research hotspot. Summary of the invention

[0004] The present invention provides a method, device, electronic equipment and storage medium for optimizing residue hydroprocessing operating conditions, which can objectively and accurately optimize residue hydroprocessing operating conditions and obtain target optimized residue hydroprocessing operating conditions, thereby providing a theoretical basis for subsequent process or production demand adjustment.

[0005] The present invention provides a method for optimizing residue hydroprocessing operating conditions, the method comprising: based on current feed information, obtaining a product state of a residue hydroprocessing product corresponding to the current feed information, wherein the product state is used to characterize the generation of the residue hydroprocessing product, and the current feed information includes current residue hydroprocessing operating conditions; when the product state does not meet a preset state, obtaining an optimizable interval of the residue hydroprocessing operating conditions according to an operating condition adjustment instruction and the current residue hydroprocessing operating conditions; based on the optimizable interval of the residue hydroprocessing operating conditions and a pre-trained autoencoder model, screening to obtain target optimized residue hydroprocessing operating conditions, wherein the autoencoder model outputs the product state of the residue hydroprocessing product corresponding to the feed information based on the input feed information.

[0006] According to a method for optimizing residue hydroprocessing operating conditions provided by the present invention, the method screens and obtains target optimized residue hydroprocessing operating conditions based on the optimizable interval of the residue hydroprocessing operating conditions and the pre-trained autoencoder model, specifically comprising: obtaining a plurality of candidate optimized residue hydroprocessing operating conditions based on the optimizable interval of the residue hydroprocessing operating conditions; replacing the current residue hydroprocessing operating conditions in the current feed information based on each of the candidate optimized residue hydroprocessing operating conditions to obtain candidate feed information; inputting each of the candidate feed information into the pre-trained autoencoder model respectively to obtain the candidate product state of each candidate residue hydroprocessing product output by the autoencoder model; determining the candidate feed information whose candidate product state satisfies the preset state as optimized feed information, and using the residue hydroprocessing operating conditions in the optimized feed information as the target optimized residue hydroprocessing operating conditions.

[0007] According to a method for optimizing residue hydroprocessing operating conditions provided by the present invention, before obtaining the optimizable range of residue hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions, the method further includes: obtaining a trend graph of residue hydroprocessing operating conditions, wherein the trend graph represents the adjustable range of the residue hydroprocessing operating conditions; obtaining the optimizable range of residue hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions, specifically comprising: taking the current residue hydroprocessing operating conditions as a reference point, determining a local trend graph of the residue hydroprocessing operating conditions in the trend graph according to the operating condition adjustment instruction, wherein the local trend graph represents the local trend graph corresponding to the operating condition adjustment instruction; and discretizing the local trend graph according to a preset step size to obtain the optimizable range of the residue hydroprocessing operating conditions.

[0008] According to a method for optimizing residue hydroprocessing operating conditions provided by the present invention, a trend graph of the residue hydroprocessing operating conditions is obtained in the following manner: obtaining device parameters of a residue hydroprocessing device, wherein the device parameters include an upper limit value and a lower limit value of the residue hydroprocessing operating conditions; obtaining multiple groups of historical feed information, and obtaining multiple groups of historical residue hydroprocessing operating conditions based on the multiple groups of historical feed information; performing linear fitting on the multiple groups of historical residue hydroprocessing operating conditions, and using the upper limit value and the lower limit value as constraints to obtain a trend graph of the residue hydroprocessing operating conditions.

[0009] According to a method for optimizing residue hydroprocessing operation conditions provided by the present invention, the candidate feed information is determined in the following manner: based on the dichotomy method, a re-screened candidate optimized residue hydroprocessing operation condition is determined in each of the candidate optimized residue hydroprocessing operation conditions, wherein the candidate product state of the candidate residue hydroprocessing product corresponding to other candidate optimized residue hydroprocessing operation conditions does not meet the preset state, and the other candidate optimized residue hydroprocessing operation conditions represent continuous candidate optimized residue hydroprocessing operation conditions other than the re-screened candidate optimized residue hydroprocessing operation condition; based on the re-screened candidate optimized residue hydroprocessing operation condition, the current residue hydroprocessing operation condition in the current feed information is replaced to obtain candidate feed information.

[0010] According to a method for optimizing residue oil hydrogenation operating conditions provided by the present invention, the residue oil hydrogenation operating conditions include one or more of temperature operating conditions and pressure operating conditions; the product state of the residue oil hydrogenation product includes any one or more of the product yield of the residue oil hydrogenation product and the element content of the constituent elements corresponding to the residue oil hydrogenation product.

[0011] The present invention also provides a device for optimizing residue hydroprocessing operating conditions, the device comprising: an acquisition module, used to obtain, based on current feed information, a product state of a residue hydroprocessing product corresponding to the current feed information, wherein the product state is used to characterize the generation of the residue hydroprocessing product, and the current feed information includes current residue hydroprocessing operating conditions; a processing module, used to obtain, when the product state does not meet a preset state, an optimizable interval of the residue hydroprocessing operating conditions according to an operating condition adjustment instruction and the current residue hydroprocessing operating conditions; a screening module, used to screen and obtain target optimized residue hydroprocessing operating conditions based on the optimizable interval of the residue hydroprocessing operating conditions and a pre-trained autoencoder model, wherein the autoencoder model outputs the product state of the residue hydroprocessing product corresponding to the feed information based on the input feed information.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for optimizing the residual oil hydroprocessing operating conditions as described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for optimizing the residual oil hydroprocessing operating conditions as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for optimizing the residual oil hydroprocessing operating conditions as described in any one of the above is implemented.

[0015] The method, device, electronic device and storage medium for optimizing residue hydrotreating operating conditions provided by the present invention obtain the product state of residue hydrotreating products corresponding to the current feed information based on the current feed information; when the product state does not meet the preset state, the optimizable interval of the residue hydrotreating operating conditions is obtained according to the operating condition adjustment instruction and the current residue hydrotreating operating conditions; and based on the optimizable interval of the residue hydrotreating operating conditions and the pre-trained autoencoder model, the target optimized residue hydrotreating operating conditions are screened, thereby achieving the objective and accurate optimization of the residue hydrotreating operating conditions to obtain the target optimized residue hydrotreating operating conditions, and providing a theoretical basis for subsequent process or production demand adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic flow diagram of a method for optimizing residual oil hydroprocessing operating conditions provided by the present invention;

[0018] Figure 2 It is a schematic flow chart of the residual oil hydroprocessing operating conditions after target optimization, based on the optimizable interval of the residual oil hydroprocessing operating conditions and the pre-trained autoencoder model provided by the present invention;

[0019] Figure 3 It is a schematic flow chart of obtaining an optimizable range of residue oil hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residue oil hydroprocessing operating conditions provided by the present invention;

[0020] Figure 4 It is a structural schematic diagram of a residual oil hydroprocessing operating condition optimization device provided by the present invention;

[0021] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Figure 1 It is a schematic flow diagram of the method for optimizing the residual oil hydrogenation operating conditions provided by the present invention.

[0024] The following will be combined Figure 1 The method for optimizing the operating conditions of residue oil hydroprocessing provided by the present invention is described. It should be noted that the method for optimizing the operating conditions of residue oil hydroprocessing provided by the present invention can be applied to a residue oil hydroprocessing unit.

[0025] In an exemplary embodiment of the present invention, Figure 1 It can be seen that the method for optimizing the residual oil hydroprocessing operating conditions may include steps 110 to 130, and each step will be introduced below.

[0026] In step 110, based on the current feed information, the product state of the residue hydrogenation product corresponding to the current feed information is obtained.

[0027] Among them, the feed information can be understood as the relevant information of the feed sent into the residual oil hydrogenation unit. In one example, the feed information may include at least the feed sulfur content, the feed residual carbon content, the feed nickel content, the feed vanadium content, the feed temperature and the feed pressure. The feed sulfur content can be understood as the content of sulfur element in the feed. The feed residual carbon content can be understood as the content of residual carbon element in the feed. The residual carbon element can be understood as the remaining carbon element. The feed nickel content can be understood as the content of nickel-carbon element in the feed. The feed temperature can be understood as the temperature in the feed furnace. The feed pressure can be understood as the pressure in the feed furnace. Among them, the feed temperature and the feed pressure can be considered as the residual oil hydrogenation operation conditions.

[0028] It should be noted that the yield of the residue oil hydrogenation product that can be produced will be different depending on the specific feed sulfur content, specific feed residual carbon content, specific feed nickel content, specific feed vanadium content, specific feed temperature and specific feed pressure.

[0029] The current feed information can be considered as the current feed information, and the current residue hydroprocessing operating conditions can be considered as the temperature operating conditions and pressure operating conditions contained in the current feed information. The product state can be used to characterize the generation of residue hydroprocessing products, and the current feed information includes the current residue hydroprocessing operating conditions.

[0030] In another exemplary embodiment of the present invention, the residue hydroprocessing operating conditions may include one or more of temperature operating conditions (which may correspond to the feed temperature mentioned above) and pressure operating conditions (which may correspond to the feed pressure mentioned above).

[0031] In another exemplary embodiment of the present invention, the product state of the residue hydrogenation product may include any one or more of the product yield of the residue hydrogenation product and the element content of the constituent elements corresponding to the residue hydrogenation product. In one example, the residue hydrogenation product may include any one or more of acid gas, dry gas, naphtha, diesel, and tail oil. The constituent elements corresponding to the residue hydrogenation product may include any one or more of the sulfur element constituting the acid gas, the sulfur element constituting the dry gas, the sulfur element and the metal element constituting the naphtha, the sulfur element and the metal element constituting the diesel, and the sulfur element and the metal element constituting the tail oil.

[0032] In the present invention, for the sake of convenience, the residual oil hydrogenation operating conditions are taken as the temperature operating conditions, and the constituent element corresponding to the residual oil hydrogenation product is taken as the sulfur element constituting diesel.

[0033] In step 120, when the product state does not satisfy the preset state, the optimizable range of the residue hydroprocessing operating conditions is obtained according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions.

[0034] In one embodiment, the operating condition adjustment instruction may be an instruction issued by a user. In one example, the operating condition adjustment instruction may be an instruction to adjust the temperature operating condition. During application, when the product state of the residue oil hydrogenation product obtained based on the current feed information (e.g., the element content of sulfur elements constituting diesel, wherein the sulfur content is 0.0325 ppm) does not meet the preset state (e.g., the preset element content of sulfur elements constituting diesel, wherein the preset sulfur content is 0.025 ppm), the optimizable range of the residue oil hydrogenation operating condition may be obtained according to the operating condition adjustment instruction and the current residue oil hydrogenation operating condition.

[0035] It should be noted that the optimizable range of residue hydrotreating operating conditions can characterize how to adjust the operating temperature so that the sulfur content meets the requirements.

[0036] In step 130, based on the optimizable range of the residue hydroprocessing operating conditions and the pre-trained autoencoder model, the target optimized residue hydroprocessing operating conditions are screened and obtained.

[0037] Among them, the autoencoder model outputs the product state of the residual oil hydrogenation product corresponding to the feed information based on the input feed information.

[0038] In one embodiment, the pre-trained autoencoder model can be considered as a model that can quickly and objectively output the product state of the residue oil hydrogenation product based on the residue oil hydrogenation operation conditions. The model can be pre-trained. Since the model is pre-trained, it can be ensured that the product state of the residue oil hydrogenation product is sufficiently objective and accurate.

[0039] In the application process, the product state of the residual oil hydrogenation product output by the autoencoder model corresponding to the optimizable interval of the residual oil hydrogenation operating conditions can be obtained based on the autoencoder model. Further, it is judged whether the product state of the output residual oil hydrogenation product meets the preset state, for example, it is judged whether the element content of sulfur elements constituting diesel is 0.025ppm. If it meets the preset state, the target optimized residual oil hydrogenation operating conditions can be obtained based on the optimizable interval of the residual oil hydrogenation operating conditions. Through this embodiment, it is achieved that the residual oil hydrogenation operating conditions can be objectively and accurately optimized to obtain the target optimized residual oil hydrogenation operating conditions, providing a theoretical basis for the subsequent process or production demand adjustment.

[0040] The method for optimizing the residue hydroprocessing operating conditions provided by the present invention obtains the product state of the residue hydroprocessing product corresponding to the current feed information based on the current feed information; when the product state does not meet the preset state, the optimizable interval of the residue hydroprocessing operating conditions is obtained according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions; and based on the optimizable interval of the residue hydroprocessing operating conditions and the pre-trained autoencoder model, the target optimized residue hydroprocessing operating conditions are screened, thereby realizing that the residue hydroprocessing operating conditions can be objectively and accurately optimized to obtain the target optimized residue hydroprocessing operating conditions, and providing a theoretical basis for subsequent process or production demand adjustment.

[0041] Figure 2 The present invention provides an optimizable interval based on the residue oil hydroprocessing operating conditions and a pre-trained autoencoder model, and a flow chart of the residue oil hydroprocessing operating conditions after target optimization is screened.

[0042] The following will be combined Figure 2 The process of screening and obtaining the target optimized residue hydrotreating operating conditions is explained.

[0043] In an exemplary embodiment of the present invention, Figure 2 It can be seen that based on the optimizable range of the residue oil hydroprocessing operating conditions and the pre-trained autoencoder model, screening the target optimized residue oil hydroprocessing operating conditions may include steps 210 to 240, and each step will be introduced below.

[0044] In step 210, a plurality of candidate optimized residue hydroprocessing operating conditions are obtained based on the optimizable interval of the residue hydroprocessing operating conditions.

[0045] In one embodiment, the optimizable interval of the residual oil hydroprocessing operating conditions can be considered as an interval or cluster of adjustable residual oil hydroprocessing operating conditions. In one example, the residual oil hydroprocessing operating conditions are continued to be described as temperature operating conditions, and the optimizable interval of the residual oil hydroprocessing operating conditions can be considered as a set of adjustable temperature operating conditions.

[0046] In the application process, based on the optimizable range of the residue hydroprocessing operating conditions, multiple candidate optimized residue hydroprocessing operating conditions can be obtained, wherein the candidate optimized residue hydroprocessing operating conditions can be a set of discrete adjustable temperature operating conditions.

[0047] In step 220, based on each candidate optimized residue hydroprocessing operation condition, the current residue hydroprocessing operation condition in the current feed information is replaced to obtain candidate feed information.

[0048] In yet another embodiment, the current residue oil hydroprocessing operation conditions in the current feed information may be replaced according to each obtained candidate optimized residue oil hydroprocessing operation condition to obtain candidate feed information.

[0049] In one example, if the candidate optimized residue oil hydroprocessing operating conditions are respectively temperature operating condition 1 (200°C), temperature operating condition 2 (205°C) ... temperature operating condition n (200+5n°C), then the candidate optimized residue oil hydroprocessing operating conditions obtained above can be used to replace the current residue oil hydroprocessing operating conditions in the current feed information to obtain n candidate feed information. Since the temperature operating conditions in the candidate feed information are different, the state of the corresponding residue oil hydroprocessing product is also different, for example, the element content of sulfur element constituting diesel is different.

[0050] In step 230, each candidate feed information is input into a pre-trained autoencoder model to obtain a candidate product state of each candidate residue oil hydrogenation product output by the autoencoder model.

[0051] In step 240, the candidate feed information whose candidate product status satisfies the preset status is determined as the optimized feed information, and the residue hydroprocessing operation conditions in the optimized feed information are used as the target optimized residue hydroprocessing operation conditions.

[0052] In one embodiment, each candidate feed information can be input into a pre-trained autoencoder model to obtain a candidate product state of each candidate residue hydrogenation product output by the autoencoder model. Wherein, each candidate residue hydrogenation product corresponds to each candidate feed information. Further, the candidate feed information whose candidate product state meets the preset state is determined as the optimized feed information, and the residue hydrogenation operation conditions in the optimized feed information are used as the target optimized residue hydrogenation operation conditions.

[0053] In one example, the preset state in the previous text is that the element content of sulfur elements constituting diesel is 0.025ppm. In the application process, the element content of sulfur elements constituting each candidate residual oil hydrogenation product (candidate diesel) can be judged separately. If there is an element content of sulfur elements constituting candidate diesel of 0.025ppm, the candidate feed information corresponding to the candidate diesel can be determined as the optimized feed information, and the residual oil hydrogenation operation conditions in the optimized feed information can be used as the target optimized residual oil hydrogenation operation conditions. Through this embodiment, the temperature operating conditions can be obtained objectively and accurately without the need for human subjective judgment, providing a theoretical basis for the adjustment of subsequent processes or production needs.

[0054] In another exemplary embodiment of the present invention, the candidate feed information in step 220 may also be determined in the following manner:

[0055] Based on the dichotomy method, the re-screened candidate optimized residue oil hydroprocessing operation conditions are determined in each candidate optimized residue oil hydroprocessing operation condition, wherein the candidate product state of the candidate residue oil hydroprocessing product corresponding to other candidate optimized residue oil hydroprocessing operation conditions does not meet the preset state, and the other candidate optimized residue oil hydroprocessing operation conditions represent the continuous candidate optimized residue oil hydroprocessing operation conditions except the re-screened candidate optimized residue oil hydroprocessing operation conditions;

[0056] Based on the re-screened candidate optimized residue oil hydroprocessing operation conditions, the current residue oil hydroprocessing operation conditions in the current feed information are replaced to obtain candidate feed information.

[0057] In one embodiment, there may be multiple situations in which the candidate optimized residual oil hydroprocessing conditions cannot meet the preset state. Due to the discrete points of the candidate optimized residual oil hydroprocessing conditions in the trend graph, if the exhaustive method is used to input each candidate optimized residual oil hydroprocessing condition into the model to obtain the corresponding candidate product state, the efficiency of the work cannot be achieved. In this embodiment, a dichotomy method can be used to quickly determine the re-screened candidate optimized residual oil hydroprocessing conditions in each candidate optimized residual oil hydroprocessing condition, and based on the re-screened candidate optimized residual oil hydroprocessing conditions, the current residual oil hydroprocessing conditions in the current feed information are replaced to obtain the candidate feed information. It can be understood that the candidate feed information obtained in this embodiment can be the candidate feed information after the initial screening, and the continuous candidate optimized residual oil hydroprocessing conditions whose candidate product states of the corresponding candidate residual oil hydroprocessing products do not meet the preset state have been eliminated. Continuing with the example described above, the candidate optimized residue oil hydrogenation operating conditions after further screening may be temperature operating condition 1 (200°C), temperature operating condition 2 (205°C) ... temperature operating condition 0.5n (200+2.5n°C).

[0058] Figure 3It is a flow chart of obtaining an optimizable range of residue oil hydroprocessing operating conditions according to an operating condition adjustment instruction and current residue oil hydroprocessing operating conditions provided by the present invention.

[0059] The following will be combined Figure 3 The process of obtaining an optimizable range of residue hydroprocessing operating conditions according to an operating condition adjustment instruction and current residue hydroprocessing operating conditions is described.

[0060] In an exemplary embodiment of the present invention, Figure 3 It can be seen that, according to the operating condition adjustment instruction and the current residue hydroprocessing operating condition, obtaining the optimizable range of the residue hydroprocessing operating condition may include steps 310 to 330, and each step will be introduced below.

[0061] In step 310, a trend diagram of residue hydroprocessing operation conditions is obtained.

[0062] Among them, the trend diagram represents the adjustable range of residue hydroprocessing operating conditions.

[0063] In another exemplary embodiment of the present invention, the trend diagram of the residual oil hydroprocessing operating conditions can be obtained in the following manner:

[0064] Obtaining device parameters of a residue oil hydroprocessing device, wherein the device parameters include an upper limit value and a lower limit value of a residue oil hydroprocessing operation condition;

[0065] Acquire multiple sets of historical feed information, and obtain multiple sets of historical residue oil hydrotreating operation conditions based on the multiple sets of historical feed information;

[0066] Linear fitting is performed on multiple groups of historical residue hydroprocessing operating conditions, and the upper and lower limits are used as constraints to obtain a trend diagram of residue hydroprocessing operating conditions.

[0067] In this embodiment, the temperature operating condition is used as an example for explanation. The upper limit and lower limit of the temperature operating condition of the residue oil hydroprocessing unit can be obtained. It can be understood that the upper limit and lower limit of the temperature operating condition are factory parameters, which are related to the residue oil hydroprocessing unit itself.

[0068] Further, multiple sets of historical feed information are obtained, and multiple sets of historical residue hydroprocessing operating conditions are obtained based on the multiple sets of historical feed information. It can be understood that the historical residue hydroprocessing operating conditions are implementable temperature operating conditions. In another embodiment, when the historical feed information is insufficient, multiple sets of simulated feed information can be obtained based on simulation software simulation, and the multiple sets of simulated residue hydroprocessing operating conditions in the simulated feed information are combined to jointly determine the trend graph.

[0069] In another embodiment, linear fitting is performed on multiple sets of historical residue hydroprocessing operating conditions, and the upper limit and lower limit are used as constraints to obtain a trend graph of residue hydroprocessing operating conditions. It can be understood that, due to the existence of the upper limit and lower limit, the trend graph of residue hydroprocessing operating conditions has a starting point and an end point.

[0070] In step 320, the current residue hydroprocessing operating conditions are used as a reference point, and a local trend graph of the residue hydroprocessing operating conditions is determined in the trend graph according to the operating condition adjustment instruction.

[0071] In step 330, the local trend graph is discretized according to a preset step size to obtain an optimizable range of residual oil hydrotreating operating conditions.

[0072] The local trend graph represents a local trend graph corresponding to the operating condition adjustment instruction.

[0073] In one embodiment, when the operating condition adjustment instruction is to increase the temperature operating condition, the current residue oil hydrotreating operating condition can be used as a reference point, and according to the operating condition adjustment instruction to increase the temperature operating condition, a local trend graph of the temperature portion that exceeds the current temperature operating condition can be cut out in the trend graph.

[0074] Since the local trend graph is a continuous and uninterrupted graph, combined with actual production needs, the local trend graph can be discretized according to the preset step size, so that the optimizable interval of the residual oil hydroprocessing operating conditions can be obtained. It can be understood that the optimizable interval of the residual oil hydroprocessing operating conditions satisfies the operating condition adjustment instruction. The preset step size can also be adjusted according to actual conditions, for example, it can be 1°C. In this embodiment, the step size is not specifically limited.

[0075] According to the above description, the method for optimizing the residue hydroprocessing operating conditions provided by the present invention obtains the product state of the residue hydroprocessing product corresponding to the current feed information based on the current feed information; when the product state does not meet the preset state, the optimizable interval of the residue hydroprocessing operating conditions is obtained according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions; and then based on the optimizable interval of the residue hydroprocessing operating conditions and the pre-trained autoencoder model, the target optimized residue hydroprocessing operating conditions are screened, thereby realizing the objective and accurate optimization of the residue hydroprocessing operating conditions to obtain the target optimized residue hydroprocessing operating conditions, and providing a theoretical basis for the subsequent process or production demand adjustment.

[0076] Based on the same concept, the present invention also provides a device for optimizing residual oil hydroprocessing operating conditions.

[0077] The device for optimizing the operating conditions of residual oil hydroprocessing provided by the present invention is described below. The device for optimizing the operating conditions of residual oil hydroprocessing described below and the method for optimizing the operating conditions of residual oil hydroprocessing described above can be referred to each other.

[0078] Figure 4 It is a structural schematic diagram of a residue oil hydroprocessing operating condition optimization device provided by the present invention.

[0079] In an exemplary embodiment of the present invention, Figure 4 It can be seen that the residual oil hydroprocessing operation condition optimization device can include an acquisition module 410, a processing module 420 and a screening module 430, and each module will be introduced below.

[0080] The acquisition module 410 may be configured to obtain a product state of a residue oil hydrogenation product corresponding to the current feed information based on the current feed information, wherein the product state is used to characterize the generation of the residue oil hydrogenation product, and the current feed information includes the current residue oil hydrogenation operation conditions;

[0081] The processing module 420 may be configured to obtain an optimizable range of the residue hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions when the product state does not meet the preset state;

[0082] The screening module 430 can be configured to screen and obtain the target optimized residue hydroprocessing operating conditions based on the optimizable interval of the residue hydroprocessing operating conditions and the pre-trained autoencoder model, wherein the autoencoder model outputs the product state of the residue hydroprocessing product corresponding to the feed information based on the input feed information.

[0083] In an exemplary embodiment of the present invention, the screening module 430 can implement the optimization interval based on the residual oil hydroprocessing operating conditions and the pre-trained autoencoder model to screen and obtain the target optimized residual oil hydroprocessing operating conditions in the following manner:

[0084] Based on the optimizable range of residue oil hydroprocessing operating conditions, multiple candidate optimized residue oil hydroprocessing operating conditions are obtained;

[0085] Based on each candidate optimized residue oil hydroprocessing operation condition, the current residue oil hydroprocessing operation condition in the current feed information is replaced to obtain candidate feed information;

[0086] Inputting each candidate feed information into a pre-trained autoencoder model, respectively, to obtain a candidate product state of each candidate residue oil hydrogenation product output by the autoencoder model;

[0087] The candidate feed information whose candidate product status satisfies the preset status is determined as the optimized feed information, and the residue oil hydroprocessing operation conditions in the optimized feed information are used as the target optimized residue oil hydroprocessing operation conditions.

[0088] In an exemplary embodiment of the present invention, the screening module 430 may also be configured to:

[0089] Obtaining a trend graph of the residual oil hydroprocessing operating conditions, wherein the trend graph represents an adjustable range of the residual oil hydroprocessing operating conditions;

[0090] The screening module 430 can obtain the optimizable range of the residual oil hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residual oil hydroprocessing operating conditions in the following manner:

[0091] Taking the current residual oil hydroprocessing operating condition as a reference point, determining a local trend graph of the residual oil hydroprocessing operating condition in the trend graph according to the operating condition adjustment instruction, wherein the local trend graph represents a local trend graph corresponding to the operating condition adjustment instruction;

[0092] According to the preset step size, the local trend graph is discretized to obtain the optimizable range of residue hydrotreating operating conditions.

[0093] In an exemplary embodiment of the present invention, the screening module 430 can also obtain a trend diagram of the residual oil hydroprocessing operating conditions in the following manner:

[0094] Obtaining device parameters of a residue oil hydroprocessing device, wherein the device parameters include an upper limit value and a lower limit value of a residue oil hydroprocessing operation condition;

[0095] Acquire multiple sets of historical feed information, and obtain multiple sets of historical residue oil hydrotreating operation conditions based on the multiple sets of historical feed information;

[0096] Linear fitting is performed on multiple groups of historical residue hydroprocessing operating conditions, and the upper and lower limits are used as constraints to obtain a trend diagram of residue hydroprocessing operating conditions.

[0097] In an exemplary embodiment of the present invention, the screening module 430 may also determine the candidate feed information in the following manner:

[0098] Based on the dichotomy method, the re-screened candidate optimized residue oil hydroprocessing operation conditions are determined in each candidate optimized residue oil hydroprocessing operation condition, wherein the candidate product state of the candidate residue oil hydroprocessing product corresponding to other candidate optimized residue oil hydroprocessing operation conditions does not meet the preset state, and the other candidate optimized residue oil hydroprocessing operation conditions represent the continuous candidate optimized residue oil hydroprocessing operation conditions except the re-screened candidate optimized residue oil hydroprocessing operation conditions;

[0099] Based on the re-screened candidate optimized residue oil hydroprocessing operation conditions, the current residue oil hydroprocessing operation conditions in the current feed information are replaced to obtain candidate feed information.

[0100] In an exemplary embodiment of the present invention, the residue hydroprocessing operating conditions may include one or more of temperature operating conditions and pressure operating conditions;

[0101] The product state of the residue hydrogenation product may include any one or more of the product yield of the residue hydrogenation product and the element content of the constituent elements corresponding to the residue hydrogenation product.

[0102] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call the logic instructions in the memory 530 to execute the residue hydroprocessing operating condition optimization method, which includes: based on the current feed information, obtaining the product state of the residue hydroprocessing product corresponding to the current feed information, wherein the product state is used to characterize the generation of the residue hydroprocessing product, and the current feed information includes the current residue hydroprocessing operating conditions; when the product state does not meet the preset state, according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions, obtaining the optimizable range of the residue hydroprocessing operating conditions; based on the optimizable range of the residue hydroprocessing operating conditions and the pre-trained autoencoder model, screening to obtain the target optimized residue hydroprocessing operating conditions, wherein the autoencoder model outputs the product state of the residue hydroprocessing product corresponding to the feed information based on the input feed information.

[0103] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0104] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the residue hydroprocessing operating condition optimization method provided by the above methods, the method comprising: based on current feed information, obtaining a product state of a residue hydroprocessing product corresponding to the current feed information, wherein the product state is used to characterize the generation of the residue hydroprocessing product, and the current feed information includes current residue hydroprocessing operating conditions; when the product state does not meet a preset state, according to an operating condition adjustment instruction and the current residue hydroprocessing operating conditions, obtaining an optimizable interval of the residue hydroprocessing operating conditions; based on the optimizable interval of the residue hydroprocessing operating conditions and a pre-trained autoencoder model, screening to obtain the target optimized residue hydroprocessing operating conditions, wherein the autoencoder model outputs the product state of the residue hydroprocessing product corresponding to the feed information based on the input feed information.

[0105] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the residue hydrotreating operating condition optimization method provided by the above-mentioned methods, the method comprising: based on current feed information, obtaining a product state of a residue hydrotreating product corresponding to the current feed information, wherein the product state is used to characterize the generation of the residue hydrotreating product, and the current feed information includes current residue hydrotreating operating conditions; when the product state does not meet a preset state, obtaining an optimizable interval of the residue hydrotreating operating conditions according to an operating condition adjustment instruction and the current residue hydrotreating operating conditions; based on the optimizable interval of the residue hydrotreating operating conditions and a pre-trained autoencoder model, screening to obtain the target optimized residue hydrotreating operating conditions, wherein the autoencoder model outputs the product state of the residue hydrotreating product corresponding to the feed information based on the input feed information.

[0106] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0107] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0108] It is further understood that, although the operations are described in a specific order in the accompanying drawings in the embodiments of the present invention, it should not be understood as requiring the operations to be performed in the specific order or serial order shown, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing residual oil hydroprocessing operating conditions, characterized in that: The method comprises: Based on the current feed information, a product state of the residue oil hydrogenation product corresponding to the current feed information is obtained, wherein the product state is used to characterize the generation of the residue oil hydrogenation product, and the current feed information includes the current residue oil hydrogenation operation conditions; When the product state does not satisfy the preset state, according to the operating condition adjustment instruction and the current residue oil hydroprocessing operating condition, an optimizable range of the residue oil hydroprocessing operating condition is obtained; Based on the optimizable interval of the residue oil hydroprocessing operating conditions and the pre-trained autoencoder model, the target optimized residue oil hydroprocessing operating conditions are screened and obtained, wherein the autoencoder model outputs the product state of the residue oil hydroprocessing product corresponding to the feed information based on the input feed information.

2. The method for optimizing residual oil hydroprocessing operating conditions according to claim 1, characterized in that: The optimizable interval based on the residue oil hydroprocessing operating conditions and the pre-trained autoencoder model, screening and obtaining the target optimized residue oil hydroprocessing operating conditions, specifically includes: Based on the optimizable interval of the residue oil hydroprocessing operating conditions, a plurality of candidate optimized residue oil hydroprocessing operating conditions are obtained; Based on each of the candidate optimized residue oil hydroprocessing operation conditions, the current residue oil hydroprocessing operation condition in the current feed information is replaced to obtain candidate feed information; Inputting each candidate feed information into the pre-trained autoencoder model respectively to obtain the candidate product status of each candidate residue oil hydrogenation product output by the autoencoder model; The candidate feed information whose candidate product status satisfies the preset status is determined as the optimized feed information, and the residue oil hydroprocessing operation conditions in the optimized feed information are used as the target optimized residue oil hydroprocessing operation conditions.

3. The method for optimizing residual oil hydroprocessing operating conditions according to claim 1, characterized in that: Before obtaining the optimizable range of the residue hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions, the method further includes: Obtaining a trend graph of residual oil hydroprocessing operating conditions, wherein the trend graph represents an adjustable range of the residual oil hydroprocessing operating conditions; The step of obtaining an optimizable range of the residue hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residue hydroprocessing operating conditions specifically includes: Taking the current residue hydroprocessing operating condition as a reference point, determining a local trend graph of the residue hydroprocessing operating condition in the trend graph according to the operating condition adjustment instruction, wherein the local trend graph represents a local trend graph corresponding to the operating condition adjustment instruction; The local trend graph is discretized according to a preset step size to obtain an optimizable interval of the residue hydrotreating operating conditions.

4. The method for optimizing residual oil hydroprocessing operating conditions according to claim 3, characterized in that: The trend diagram of the residual oil hydrotreating operating conditions is obtained in the following manner: Acquiring device parameters of a residue oil hydroprocessing device, wherein the device parameters include an upper limit value and a lower limit value of a residue oil hydroprocessing operation condition; Acquire multiple sets of historical feed information, and obtain multiple sets of historical residue oil hydrotreating operation conditions based on the multiple sets of historical feed information; Linear fitting is performed on multiple groups of historical residue oil hydroprocessing operating conditions, and the upper limit value and the lower limit value are used as constraints to obtain a trend diagram of the residue oil hydroprocessing operating conditions.

5. The method for optimizing residual oil hydroprocessing operating conditions according to claim 2, characterized in that: The candidate feed information is determined in the following manner: Based on the dichotomy method, determining the re-screened candidate optimized residue oil hydroprocessing operation conditions from each of the candidate optimized residue oil hydroprocessing operation conditions, wherein the candidate product state of the candidate residue oil hydroprocessing product corresponding to the other candidate optimized residue oil hydroprocessing operation conditions does not meet the preset state, and the other candidate optimized residue oil hydroprocessing operation conditions represent the continuous candidate optimized residue oil hydroprocessing operation conditions except the re-screened candidate optimized residue oil hydroprocessing operation conditions; Based on the re-screened candidate optimized residue oil hydroprocessing operation conditions, the current residue oil hydroprocessing operation conditions in the current feed information are replaced to obtain candidate feed information.

6. The method for optimizing residue hydroprocessing operating conditions according to any one of claims 1 to 5, characterized in that: The residual oil hydrotreating operating conditions include one or more of temperature operating conditions and pressure operating conditions; The product state of the residue oil hydrogenation product includes any one or more of the product yield of the residue oil hydrogenation product and the element content of the constituent elements corresponding to the residue oil hydrogenation product.

7. A device for optimizing residual oil hydroprocessing operating conditions, characterized in that: The device comprises: An acquisition module, configured to obtain, based on current feed information, a product state of a residue oil hydrogenation product corresponding to the current feed information, wherein the product state is used to characterize the generation of the residue oil hydrogenation product, and the current feed information includes current residue oil hydrogenation operation conditions; A processing module, configured to obtain an optimizable range of the residue oil hydroprocessing operating conditions according to the operating condition adjustment instruction and the current residue oil hydroprocessing operating conditions when the product state does not meet the preset state; A screening module is used to screen and obtain target optimized residue hydroprocessing operating conditions based on the optimizable interval of the residue hydroprocessing operating conditions and a pre-trained autoencoder model, wherein the autoencoder model outputs a product state of the residue hydroprocessing product corresponding to the feed information based on the input feed information.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for optimizing residue oil hydroprocessing operating conditions as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for optimizing residue hydroprocessing operating conditions according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for optimizing residue hydroprocessing operating conditions according to any one of claims 1 to 6 is implemented.

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