Methods, apparatus, electronic equipment and storage media for optimizing operating conditions of residue hydrotreating

Abstract

This invention provides a method, apparatus, electronic device, and storage medium for optimizing the operating conditions of residue oil hydrotreating. The method includes: obtaining the product state of the residue oil hydrotreating product corresponding to the current feed information, wherein the current feed information includes the current residue oil hydrotreating operating conditions; when the product state does not meet a preset state, obtaining an optimizable range of the residue oil hydrotreating operating conditions according to the operating condition adjustment command and the current residue oil hydrotreating operating conditions; and selecting the target optimized residue oil hydrotreating operating conditions based on the optimizable range of the residue oil hydrotreating operating conditions and a pre-trained autoencoder model. The autoencoder model outputs the product state of the residue oil hydrotreating product corresponding to the input feed information, thereby enabling objective and accurate optimization of the residue oil hydrotreating operating conditions to obtain the target optimized residue oil hydrotreating operating conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of residual oil hydrogenation treatment, and particularly relates to a residual oil hydrogenation operation condition optimization method and device, electronic equipment and storage medium. BACKGROUND

[0002] The residual oil hydrogenation device is an important part of a refinery, and is a leading device for residual oil treatment. The operation condition and economic benefit of the residual oil hydrogenation device are directly related to the comprehensive benefit of the entire refinery. In the actual residual oil hydrogenation processing production process, in order to ensure the economic benefit of the entire refinery and the stable operation of the device, the blending ratio of the feed residual oil and wax oil of the residual oil hydrogenation device is changed every 3-5 days on average, and the yield of the corresponding residual oil hydrogenation product also changes. When the device feed changes, the residual oil hydrogenation operation condition needs to be optimized correspondingly to maintain the stability of the yield of the residual oil hydrogenation product.

[0003] However, the current residual oil hydrogenation operation condition is often optimized based on human experience, which leads to the subjectivity and inaccuracy of the optimized residual oil hydrogenation operation condition. Therefore, the current research hotspot is to find a method for objectively and accurately optimizing the residual oil hydrogenation operation condition. SUMMARY

[0004] The present application provides a residual oil hydrogenation operation condition optimization method, device, electronic equipment and storage medium, which can objectively and accurately optimize the residual oil hydrogenation operation condition, and obtain the target optimized residual oil hydrogenation operation condition, thereby providing a theoretical basis for subsequent process or production demand adjustment.

[0005] The present application provides a residual oil hydrogenation operation condition optimization method, which comprises the following steps: based on current feed information, obtaining a product state of a residual oil hydrogenation product corresponding to the current feed information, wherein the product state is used to represent the generation of the residual oil hydrogenation product, and the current feed information comprises a current residual oil hydrogenation operation condition; in the case that the product state does not satisfy a 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 condition and a pre-trained autoencoder model, screening to obtain a target optimized residual oil hydrogenation operation condition, wherein the autoencoder model outputs the product state of the residual oil hydrogenation product corresponding to the input feed information based on the input feed information.

[0006] According to a method for optimizing the operating conditions of residue hydrotreating provided by the present invention, the step of selecting the target optimized residue hydrotreating operating conditions based on the optimizable range of the residue hydrotreating operating conditions and a pre-trained autoencoder model specifically includes: obtaining multiple candidate optimized residue hydrotreating operating conditions based on the optimizable range of the residue hydrotreating operating conditions; replacing the current residue hydrotreating operating conditions in the current feed information based on each candidate optimized residue hydrotreating operating condition to obtain candidate feed information; inputting each candidate feed information into the pre-trained autoencoder model to obtain the candidate product state of each candidate residue hydrotreating 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 hydrotreating operating conditions in the optimized feed information as the target optimized residue hydrotreating operating conditions.

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

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

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

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

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

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the residue hydrotreating operating condition optimization method as described above.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the residue hydrotreating operation condition optimization method as described above.

[0014] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the residue hydrotreating operation condition optimization method as described above.

[0015] The present invention provides a method, apparatus, electronic device, and storage medium for optimizing the operating conditions of residue hydrotreating. Based on the current feed information, it obtains the product state of the residue hydrotreating product corresponding to the current feed information. When the product state does not meet the preset state, it obtains the optimizable range of the residue hydrotreating operating conditions according to the operating condition adjustment command and the current residue hydrotreating operating conditions. Then, based on the optimizable range of the residue hydrotreating operating conditions and the pre-trained autoencoder model, it selects the target optimized residue hydrotreating operating conditions. This enables objective and accurate optimization of residue hydrotreating operating conditions to obtain the target optimized residue hydrotreating operating conditions, providing a theoretical basis for subsequent process or production demand adjustments. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the method for optimizing the operating conditions of residue hydrotreating provided by the present invention.

[0018] Figure 2 This is a flowchart illustrating the process of obtaining optimized residue hydrotreating operating conditions based on the optimizable range of residue hydrotreating operating conditions and a pre-trained autoencoder model, as provided by the present invention.

[0019] Figure 3 This is a schematic diagram of the process provided by the present invention to obtain the optimizable range of the residue hydrotreating operation conditions based on the operation condition adjustment command and the current residue hydrotreating operation conditions.

[0020] Figure 4 This is a schematic diagram of the structure of the residue hydrotreating operation condition optimization device provided by the present invention;

[0021] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0023] Figure 1 This is a flowchart illustrating the method for optimizing the operating conditions of residue oil hydrotreating provided by the present invention.

[0024] The following will combine Figure 1 The method for optimizing the operating conditions of residue hydrotreating provided by this invention will be described. It should be noted that the method for optimizing the operating conditions of residue hydrotreating provided by this invention can be applied to residue hydrotreating units.

[0025] In an exemplary embodiment of the present invention, combined with Figure 1 As can be seen, the method for optimizing the operating conditions of residue hydrotreating may include steps 110 to 130, and each step will be described below.

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

[0027] Here, feed information can be understood as information related to the feed material delivered to the residue hydrotreating unit. In one example, feed information may include at least the feed sulfur content, feed residual carbon content, feed nickel content, feed vanadium content, feed temperature, and feed pressure. Feed sulfur content can be understood as the sulfur content in the feed. Feed residual carbon content can be understood as the residual carbon content in the feed. Residual carbon can be understood as the remaining carbon element. Feed nickel content can be understood as the nickel-carbon element content in the feed. Feed temperature can be understood as the temperature inside the feed furnace. Feed pressure can be understood as the pressure inside the feed furnace. Feed temperature and feed pressure can be considered as the operating conditions for residue hydrotreating.

[0028] It should be noted that specific feed sulfur content, specific feed residual carbon content, specific feed nickel content, specific feed vanadium content, specific feed temperature, and specific feed pressure will result in different yields of residue oil hydrogenation products.

[0029] Current feed information can be considered as the current feed details, and current residue hydrotreating operating conditions can be considered as the temperature and pressure operating conditions included in the current feed information. Product state can be used to characterize the formation of residue hydrotreating products, and current feed information includes the current residue hydrotreating operating conditions.

[0030] In yet another exemplary embodiment of the present invention, the residue hydrotreating 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 yet another exemplary embodiment of the present invention, the product state of the residue hydrotreating product may include any one or more of the product yield of the residue hydrotreating product and the elemental content of the constituent elements corresponding to the residue hydrotreating product. In one example, the residue hydrotreating product may include any one or more of acid gas, dry gas, naphtha, diesel oil, and tail oil. The constituent elements corresponding to the residue hydrotreating product may include any one or more of the following: sulfur elements constituting acid gas, sulfur elements constituting dry gas, sulfur elements and metal elements constituting naphtha, sulfur elements and metal elements constituting diesel oil, and sulfur elements and metal elements constituting tail oil.

[0032] In this invention, for ease of explanation, the operating conditions for hydrotreating residual oil will be used as the temperature operating conditions, and the sulfur element corresponding to the hydrotreating products of residual oil will be used as an example for explanation.

[0033] In step 120, if the product state does not meet the preset state, the optimizable range of the residue hydrotreating operation conditions is obtained according to the operation condition adjustment command and the current residue hydrotreating operation conditions.

[0034] In one embodiment, the operating condition adjustment command can be a user-issued command. In one example, the operating condition adjustment command can be a command to adjust the temperature operating conditions. During application, when the product state of the residue hydrotreating product obtained based on the current feed information (e.g., the elemental content of sulfur in diesel fuel, where the sulfur content is 0.0325 ppm) does not meet the preset state (e.g., the preset elemental content of sulfur in diesel fuel, where the preset sulfur content is 0.025 ppm), the optimizable range of the residue hydrotreating operating conditions can be obtained according to the operating condition adjustment command and the current residue hydrotreating operating conditions.

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

[0036] In step 130, the optimized operating conditions for residue hydrotreating are obtained by screening based on the optimizable range of the residue hydrotreating operating conditions and the pre-trained autoencoder model.

[0037] Among them, the autoencoder model outputs the product state of the residue hydrotreating product corresponding to the input feed information.

[0038] In one embodiment, the pre-trained autoencoder model can be considered a model that can quickly and objectively output the product state of the residue hydrotreating products based on the residue hydrotreating operating conditions. This model can be pre-trained. Since the model is pre-trained, it can ensure that the obtained product state of the residue hydrotreating products is sufficiently objective and accurate.

[0039] In application, based on the autoencoder model, the product state of the residue hydrotreating product output by the autoencoder model corresponding to the optimizable range of the residue hydrotreating operating conditions can be obtained. Further, it is determined whether the output product state of the residue hydrotreating product meets a preset state, such as whether the sulfur content of the diesel fuel is 0.025 ppm. If it does, the target optimized residue hydrotreating operating conditions can be obtained based on the optimizable range of the residue hydrotreating operating conditions. This embodiment enables objective and accurate optimization of residue hydrotreating operating conditions to obtain the target optimized residue hydrotreating operating conditions, providing a theoretical basis for subsequent process or production demand adjustments.

[0040] The present invention provides a method for optimizing the operating conditions of residue hydrotreating. Based on the current feed information, it obtains the product state of the residue hydrotreating product corresponding to the current feed information. When the product state does not meet the preset state, it obtains the optimizable range of the residue hydrotreating operating conditions according to the operating condition adjustment command and the current residue hydrotreating operating conditions. Then, based on the optimizable range of the residue hydrotreating operating conditions and the pre-trained autoencoder model, it selects the target optimized residue hydrotreating operating conditions. This enables objective and accurate optimization of the residue hydrotreating operating conditions to obtain the target optimized residue hydrotreating operating conditions, providing a theoretical basis for subsequent process or production demand adjustments.

[0041] Figure 2 This is a schematic diagram of the process provided by the present invention, which uses the optimizable range of residual oil hydrotreating operation conditions and a pre-trained autoencoder model to filter and obtain the target optimized residual oil hydrotreating operation conditions.

[0042] The following will combine Figure 2 The process of selecting and optimizing the target residue hydrotreating operating conditions is explained.

[0043] In an exemplary embodiment of the present invention, combined with Figure 2 As can be seen, based on the optimizable range of the residue hydrotreating operation conditions and the pre-trained autoencoder model, the optimized residue hydrotreating operation conditions can be selected through steps 210 to 240, which will be described in detail below.

[0044] In step 210, based on the optimizable range of residue hydrotreating operating conditions, multiple candidate optimized residue hydrotreating operating conditions are obtained.

[0045] In one embodiment, the optimizable range of residue hydrotreating operating conditions can be considered as a range or cluster of adjustable residue hydrotreating operating conditions. In one example, continuing to illustrate with temperature operating conditions as the example, the optimizable range of residue hydrotreating operating conditions can be considered as a set of adjustable temperature operating conditions.

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

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

[0048] In another embodiment, the current residue hydrotreating operating conditions in the current feed information can be replaced according to the obtained candidate optimized residue hydrotreating operating conditions to obtain candidate feed information.

[0049] In one example, if the obtained candidate optimized residue hydrotreating operating conditions are temperature operating condition 1 (200℃), temperature operating condition 2 (205℃), ..., temperature operating condition n (200+5n℃), then the current residue hydrotreating operating conditions in the current feed information can be replaced with the aforementioned candidate optimized residue hydrotreating operating conditions to obtain n candidate feed information. Since the temperature operating conditions in the candidate feed information are different, the state of the resulting residue hydrotreating products will also be different, for example, the sulfur content in the diesel fuel will be different.

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

[0051] In step 240, candidate feed information whose candidate product states meet the preset states is determined as optimized feed information, and the residue hydrotreating operation conditions in the optimized feed information are taken as the target optimized residue hydrotreating operation conditions.

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

[0053] In one example, we will continue with the previous example where the sulfur content in the diesel fuel is 0.025 ppm. During application, the sulfur content of each candidate residue hydrotreating product (candidate diesel fuel) can be determined. If a candidate diesel fuel has a sulfur content of 0.025 ppm, the corresponding feed information can be identified as the optimized feed information, and the residue hydrotreating operating conditions in the optimized feed information can be used as the target optimized residue hydrotreating operating conditions. This embodiment allows for objective and accurate determination of temperature operating conditions without subjective human judgment, providing a theoretical basis for adjustments to subsequent processes or production needs.

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

[0055] Based on the dichotomy method, the candidate optimized residue hydrotreating operation conditions after rescreening are determined among the candidate optimized residue hydrotreating operation conditions. Among them, the candidate product state of the candidate residue hydrotreating product corresponding to other candidate optimized residue hydrotreating operation conditions does not meet the preset state. Other candidate optimized residue hydrotreating operation conditions represent continuous candidate optimized residue hydrotreating operation conditions other than the candidate optimized residue hydrotreating operation conditions after rescreening.

[0056] Based on the candidate optimized residue hydrotreating operating conditions after re-screening, the current residue hydrotreating operating conditions in the current feed information are replaced to obtain candidate feed information.

[0057] In one embodiment, there may be multiple candidate optimized residue hydrotreating operating conditions that do not meet the preset state. Since the candidate optimized residue hydrotreating operating conditions are discrete points in the trend graph, using an exhaustive method to input each candidate optimized residue hydrotreating operating condition into the model to obtain the corresponding candidate product state would not achieve high efficiency. In this embodiment, a binary search method can be used to quickly determine the re-screened candidate optimized residue hydrotreating operating conditions from among the candidate optimized residue hydrotreating operating conditions. Based on the re-screened candidate optimized residue hydrotreating operating conditions, the current residue hydrotreating operating conditions in the current feed information are replaced to obtain candidate feed information. It is understood that the candidate feed information obtained in this embodiment can be the candidate feed information after initial screening, at which point the candidate product states of the corresponding candidate residue hydrotreating products that do not meet the preset state of the continuous candidate optimized residue hydrotreating operating conditions have been eliminated. Continuing with the example described above, the candidate optimized residue hydrotreating operating conditions after further screening can be temperature operating condition 1 (200℃), temperature operating condition 2 (205℃)... temperature operating condition 0.5n (200+2.5n℃).

[0058] Figure 3This is a schematic diagram of the process provided by the present invention, which obtains the optimizable range of the residue hydrotreating operation conditions based on the operation condition adjustment command and the current residue hydrotreating operation conditions.

[0059] The following will combine Figure 3 The process of obtaining the optimizable range of residue hydrotreating operating conditions based on the adjustment instructions and the current residue hydrotreating operating conditions is explained.

[0060] In an exemplary embodiment of the present invention, combined with Figure 3 As can be seen, the optimizable range of the residual oil hydrotreating operation conditions can be obtained by adjusting the operation conditions according to the operation condition adjustment instructions and the current residual oil hydrotreating operation conditions, which may include steps 310 to 330. Each step will be described in detail below.

[0061] In step 310, a trend graph of the residual oil hydrotreating operating conditions is obtained.

[0062] The trend graph represents the adjustable range of operating conditions for residue hydrotreating.

[0063] In yet another exemplary embodiment of the present invention, the trend graph of the residue hydrotreating operating conditions can be obtained in the following manner:

[0064] Obtain the equipment parameters of the residue hydrotreating unit, wherein the equipment parameters include the upper and lower limits of the operating conditions for residue hydrotreating;

[0065] Multiple sets of historical feed information were obtained, and multiple sets of historical residue hydrotreating operating conditions were obtained based on the multiple sets of historical feed information;

[0066] Linear fitting was performed on multiple sets of historical residue hydrotreating operating conditions, and trend graphs of residue hydrotreating operating conditions were obtained using upper and lower limits as constraints.

[0067] In this embodiment, temperature operating conditions will continue to be used as an example for explanation. The upper and lower limits of the temperature operating conditions for the residue hydrotreating unit can be obtained. It is understood that the upper and lower limits of the temperature operating conditions are factory parameters, which are specific to the residue hydrotreating unit itself.

[0068] Furthermore, multiple sets of historical feed information are acquired, and multiple sets of historical residue hydrotreating operating conditions are derived based on this information. It is understood that these historical residue hydrotreating operating conditions are feasible temperature operating conditions. In another embodiment, when historical feed information is insufficient, multiple sets of simulated feed information can be obtained through simulation software, and combined with the multiple sets of simulated residue hydrotreating operating conditions from the simulated feed information to jointly determine a trend graph.

[0069] In another embodiment, linear fitting is performed on multiple sets of historical residue hydrotreating operating conditions, and a trend graph of the residue hydrotreating operating conditions is obtained using upper and lower limits as constraints. It is understood that, given the existence of upper and lower limits, the trend graph of residue hydrotreating operating conditions has a starting point and an ending point.

[0070] In step 320, using the current residue hydrotreating operating conditions as a reference point, a local trend diagram of the residue hydrotreating operating conditions is determined in the trend diagram according to the operating condition adjustment instructions.

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

[0072] Among them, the local trend chart represents the local trend chart corresponding to the operation condition adjustment command.

[0073] In one embodiment, when the operating condition adjustment command is to increase the temperature operating condition, the current residue hydrotreating operating condition can be used as a reference point, and a local trend chart of the temperature portion exceeding the current temperature operating condition can be extracted from the trend chart according to the operating condition adjustment command to increase the temperature operating condition.

[0074] Since the local trend graph is a continuous and uninterrupted graph, it can be discretized according to a pre-set step size to obtain the optimizable range of the residue hydrotreating operating conditions, based on actual production needs. It is understood that the optimizable range of the residue hydrotreating operating conditions satisfies the operating condition adjustment instructions. The pre-set step size can also be adjusted according to actual conditions; for example, it could be 1°C. In this embodiment, the step size is not specifically limited.

[0075] As described above, the residue hydrotreating operation condition optimization method provided by this invention obtains the product state of the residue hydrotreating 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 range of the residue hydrotreating operation conditions is obtained according to the operation condition adjustment command and the current residue hydrotreating operation conditions. Then, based on the optimizable range of the residue hydrotreating operation conditions and the pre-trained autoencoder model, the target optimized residue hydrotreating operation conditions are selected. This enables objective and accurate optimization of the residue hydrotreating operation conditions to obtain the target optimized residue hydrotreating operation conditions, providing a theoretical basis for subsequent process or production demand adjustments.

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

[0077] The following describes the apparatus for optimizing the operating conditions of residue hydrotreating provided by the present invention. The apparatus for optimizing the operating conditions of residue hydrotreating described below and the method for optimizing the operating conditions of residue hydrotreating described above can be referred to in correspondence.

[0078] Figure 4 This is a schematic diagram of the structure of the residue oil hydrogenation operation condition optimization device provided by the present invention.

[0079] In an exemplary embodiment of the present invention, combined with Figure 4 As can be seen, the residual oil hydrotreating operating condition optimization device may include an acquisition module 410, a processing module 420, and a screening module 430. Each module will be described in detail below.

[0080] The acquisition module 410 can be configured to obtain the product state of the residue hydrotreating product corresponding to the current feed information based on the current feed information. The product state is used to characterize the generation of the residue hydrotreating product. The current feed information includes the current residue hydrotreating operation conditions.

[0081] The processing module 420 can be configured to obtain the optimizable range of the residue hydrotreating operation conditions based on the operation condition adjustment command and the current residue hydrotreating operation conditions when the product state does not meet the preset state.

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

[0083] In an exemplary embodiment of the present invention, the screening module 430 can achieve the following: based on the optimizable range of the residue hydrotreating operation conditions and the pre-trained autoencoder model, the target optimized residue hydrotreating operation conditions are screened out:

[0084] Based on the optimizable range of residue hydrotreating operating conditions, several candidate optimized residue hydrotreating operating conditions were obtained.

[0085] Based on the candidate optimized residue hydrotreating operating conditions, the current residue hydrotreating operating conditions in the current feed information are replaced to obtain candidate feed information;

[0086] Each candidate feed information is input into a pre-trained autoencoder model to obtain the candidate product status of each candidate residue hydrotreating product output by the autoencoder model.

[0087] Candidate feed information whose product states meet the preset conditions is identified as optimized feed information, and the residue hydrotreating operation conditions in the optimized feed information are taken as the target optimized residue hydrotreating operation conditions.

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

[0089] Obtain a trend graph of the operating conditions for residue hydrotreating, wherein the trend graph represents the adjustable range of the operating conditions for residue hydrotreating;

[0090] The screening module 430 can obtain the optimizable range of the residue hydrotreating operating conditions by adjusting the instructions based on the operating conditions and the current residue hydrotreating operating conditions in the following way:

[0091] Using the current residual oil hydrotreating operating conditions as a reference point, a local trend map of the residual oil hydrotreating operating conditions is determined in the trend map according to the operating condition adjustment instructions. The local trend map represents the local trend map corresponding to the operating condition adjustment instructions.

[0092] The local trend graph is discretized according to a pre-set step size to obtain the optimizable range of the residue hydrotreating operation conditions.

[0093] In an exemplary embodiment of the present invention, the screening module 430 may also obtain a trend graph of the residue hydrotreating operation conditions in the following manner:

[0094] Obtain the equipment parameters of the residue hydrotreating unit, wherein the equipment parameters include the upper and lower limits of the operating conditions for residue hydrotreating;

[0095] Multiple sets of historical feed information were obtained, and multiple sets of historical residue hydrotreating operating conditions were obtained based on the multiple sets of historical feed information;

[0096] Linear fitting was performed on multiple sets of historical residue hydrotreating operating conditions, and trend graphs of residue hydrotreating operating conditions were obtained using upper and lower limits as constraints.

[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 candidate optimized residue hydrotreating operation conditions after rescreening are determined among the candidate optimized residue hydrotreating operation conditions. Among them, the candidate product state of the candidate residue hydrotreating product corresponding to other candidate optimized residue hydrotreating operation conditions does not meet the preset state. Other candidate optimized residue hydrotreating operation conditions represent continuous candidate optimized residue hydrotreating operation conditions other than the candidate optimized residue hydrotreating operation conditions after rescreening.

[0099] Based on the candidate optimized residue hydrotreating operating conditions after re-screening, the current residue hydrotreating operating conditions in the current feed information are replaced to obtain candidate feed information.

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

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

[0102] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5 As shown, the electronic device may include: a processor 510, a communication interface 520, a 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 logic instructions in the memory 530 to execute a method for optimizing the operating conditions of residue hydrotreating. This method includes: obtaining the product state of the residue hydrotreating product corresponding to the current feed information, wherein the product state characterizes the generation of the residue hydrotreating product, and the current feed information includes the current residue hydrotreating operating conditions; if the product state does not meet a preset state, obtaining an optimizable range of the residue hydrotreating operating conditions according to an operating condition adjustment instruction and the current residue hydrotreating operating conditions; and selecting the target optimized residue hydrotreating operating conditions based on the optimizable range of the residue hydrotreating operating conditions and a pre-trained autoencoder model, wherein the autoencoder model outputs the product state of the residue hydrotreating product corresponding to the input feed information.

[0103] Furthermore, the logical instructions in the aforementioned memory 530 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0104] On the other hand, the present invention also provides a computer program product, which includes a computer program that 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 hydrotreating operation condition optimization method provided by the above methods. The method includes: obtaining the product state of the residue hydrotreating 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 hydrotreating product, and the current feed information includes the current residue hydrotreating operation conditions; when the product state does not meet the preset state, obtaining the optimizable range of the residue hydrotreating operation conditions according to the operation condition adjustment instruction and the current residue hydrotreating operation conditions; and filtering the target optimized residue hydrotreating operation conditions based on the optimizable range of the residue hydrotreating operation conditions and a pre-trained autoencoder model, wherein the autoencoder model outputs the product state of the residue hydrotreating product corresponding to the input feed information based on the input feed information.

[0105] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a method for optimizing the operating conditions of residue hydrotreating provided by the above methods. This method includes: obtaining a product state of the residue hydrotreating product corresponding to the current feed information, wherein the product state characterizes 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 range of the residue hydrotreating operating conditions according to an operating condition adjustment instruction and the current residue hydrotreating operating conditions; and selecting the target optimized residue hydrotreating operating conditions based on the optimizable range of the residue hydrotreating operating conditions and a pre-trained autoencoder model, wherein the autoencoder model outputs the product state of the residue hydrotreating product corresponding to the input feed information.

[0106] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0107] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments 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, this should not be construed as requiring these operations to be performed in the specific order or serial order shown, or requiring all the operations shown to obtain the desired result. 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, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing operating conditions for a residue hydroprocessing, characterized in that, The method comprises: obtaining a product state of a residual oil hydrogenation product corresponding to current feed information based on the current feed information, wherein the product state is used to characterize the generation of the residual oil hydrogenation product, and the current feed information comprises current residual oil hydrogenation operating conditions; in the case that the product state does not satisfy a preset state, obtaining an optimizable interval of residual oil hydrogenation operating conditions according to an operating condition adjustment instruction and the current residual oil hydrogenation operating conditions; based on the optimizable interval of the residual oil hydrogenation operating conditions and a pre-trained autoencoder model, screening to obtain a target optimized residual oil hydrogenation operating condition, wherein the autoencoder model outputs a product state of a residual oil hydrogenation product corresponding to input feed information based on the input feed information, and before the step of obtaining the optimizable interval of the residual oil hydrogenation operating conditions according to the operating condition adjustment instruction and the current residual oil hydrogenation operating conditions, the method further comprises: obtaining a trend graph of residual oil hydrogenation operating conditions, wherein the trend graph characterizes the adjustable range of the residual oil hydrogenation operating conditions; the step of obtaining the optimizable interval of the residual oil hydrogenation operating conditions according to the operating condition adjustment instruction and the current residual oil hydrogenation operating conditions specifically comprises: taking the current residual oil hydrogenation operating conditions as a reference point, determining a local trend graph of the residual oil hydrogenation operating conditions in the trend graph according to the operating condition adjustment instruction, wherein the local trend graph characterizes a local trend graph corresponding to the operating condition adjustment instruction; discretizing the local trend graph according to a pre-set step size to obtain the optimizable interval of the residual oil hydrogenation operating conditions, wherein the trend graph of the residual oil hydrogenation operating conditions is obtained in the following manner: obtaining device parameters of a residual oil hydrogenation device, wherein the device parameters comprise upper and lower limit values of the residual oil hydrogenation operating conditions; obtaining multiple groups of historical feed information and multiple groups of historical residual oil hydrogenation operating conditions based on the multiple groups of historical feed information; linearly fitting the multiple groups of historical residual oil hydrogenation operating conditions and taking the upper and lower limit values as constraints to obtain the trend graph of the residual oil hydrogenation operating conditions.

2. The method for optimization of residue hydroprocessing operating conditions according to claim 1, characterized in that, the step of screening to obtain the target optimized residual oil hydrogenation operating condition based on the optimizable interval of the residual oil hydrogenation operating conditions and the pre-trained autoencoder model specifically comprises: obtaining multiple candidate optimized residual oil hydrogenation operating conditions based on the optimizable interval of the residual oil hydrogenation operating conditions; replacing the current residual oil hydrogenation operating conditions in the current feed information based on each candidate optimized residual oil hydrogenation operating condition to obtain candidate feed information; inputting each candidate feed information into the pre-trained autoencoder model to obtain candidate product states of each candidate residual oil hydrogenation product output by the autoencoder model; determining the candidate feed information whose candidate product state satisfies the preset state as optimized feed information, and taking the residual oil hydrogenation operating condition in the optimized feed information as the target optimized residual oil hydrogenation operating condition.

3. The method for optimization of residue hydroprocessing operating conditions according to claim 2, characterized in that, the candidate feed information is determined in the following manner: determine a re-screened candidate optimized residue hydrogenation operation condition from the candidate optimized residue hydrogenation operation conditions based on dichotomy, wherein a candidate product state of a candidate residue hydrogenation product corresponding to other candidate optimized residue hydrogenation operation conditions representing continuous candidate optimized residue hydrogenation operation conditions except for the re-screened candidate optimized residue hydrogenation operation condition does not satisfy a preset state; replace the current residue hydrogenation operation condition in the current feed information based on the re-screened candidate optimized residue hydrogenation operation condition to obtain candidate feed information.

4. The residue hydroprocessing operating condition optimization method of any one of claims 1 to 3, wherein, The residue hydrogenation operation condition comprises one or more of a temperature operation condition and a pressure operation condition. The product state of the residue hydrogenation product comprises any one or more of a product yield of the residue hydrogenation product and an element content of a constituent element corresponding to the residue hydrogenation product.

5. A residue hydroprocessing operating condition optimization apparatus characterized by, The device is used to implement the residue hydrogenation operation condition optimization method in any one of claims 1 to 4, and the device comprises: An acquisition module is configured to obtain, based on current feed information, a product state of a residue hydrogenation product corresponding to the current feed information, wherein the product state is used to represent a generation condition of the residue hydrogenation product, and the current feed information comprises a current residue hydrogenation operation condition; A processing module is configured to, in a case where the product state does not satisfy a preset state, obtain, according to an operation condition adjustment instruction and the current residue hydrogenation operation condition, an optimizable interval of a residue hydrogenation operation condition; A screening module is configured to screen, based on the optimizable interval of the residue hydrogenation operation condition and a pre-trained autoencoder model, a target optimized residue hydrogenation operation condition, wherein the autoencoder model is configured to output, based on input feed information, a product state of the residue hydrogenation product corresponding to the feed information.

6. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the residue hydrogenation operation condition optimization method in any one of claims 1 to 4 when executing the program.

7. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program implements the residue hydrogenation operation condition optimization method in any one of claims 1 to 4 when executed by the processor.

8. A computer program product comprising a computer program, characterized in that, The computer program implements the residue hydrogenation operation condition optimization method in any one of claims 1 to 4 when executed by the processor.

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