Photosynthetic oxygen-ethylene combined generation method and system based on semiconductor catalysis

Abstract

The invention provides a photosynthetic oxygen-ethylene combined generation method and system based on semiconductor catalysis, and belongs to the technical field of non-metallic elements, and the method specifically comprises the following steps: an oxygen preparation module is responsible for initiating an oxidation reaction of water to generate oxygen and hydrogen by using a semiconductor catalyst under irradiation excitation of a light source; the ethylene preparation module is responsible for reducing carbon dioxide into ethylene in combination with hydrogen under the synergistic effect of a catalyst, and the data monitoring module is responsible for determining a preparation control processing method of the combined generation system by utilizing an analysis result of monitoring parameters of the combined generation system in the preparation process, so that the reliability of preparation processing is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of non-metallic elements, and in particular relates to a method and system for photosynthetic oxygen-ethylene co-generation based on semiconductor catalysis. Background Art

[0002] In many specific closed environments, such as space capsules relied on for space exploration, diving equipment used for deep-sea operations, and underground civilian shelters, a stable supply of oxygen and reliable energy are the core elements to ensure human survival and the normal operation of machinery and equipment. Traditional oxygen supply strategies mostly rely on carrying oxygen cylinders or using complex chemical reactions to produce oxygen. However, carrying oxygen cylinders faces problems such as limited capacity and inconvenience in carrying, and they need to be replaced frequently during long missions, which is costly. The method of producing oxygen through chemical reactions often requires specific reaction conditions and a large amount of raw materials, which is complicated to operate and has high energy consumption.

[0003] In order to solve the above technical problems, the invention patent application CN201310322416.0 "Method for Photocatalytic Decomposition of Water to Produce Hydrogen by Photosynthetic System II and Semiconductor Hybrid System" combines the properties of efficient photocatalytic decomposition of water to produce oxygen by natural photosynthetic system II and photocatalytic decomposition of water to produce hydrogen by semiconductor materials carrying metal co-catalysts, and realizes the use of visible light to fully decompose water to produce hydrogen and oxygen. However, the above technical solution has the following technical problems: During the combined production of oxygen and ethylene, differences in lighting conditions, carbon dioxide flow rate and other data may cause parameters such as the purity of oxygen or ethylene production to be difficult to meet requirements in some scenarios. Therefore, how to combine the analysis results of monitoring data to generate differentiated production and processing strategies has become a technical problem that needs to be solved urgently.

[0004] In response to the above technical problems, the present application specifically provides a method and system for photosynthetic oxygen-ethylene co-production based on semiconductor catalysis. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In a first aspect, the present application provides a semiconductor-catalyzed photosynthetic oxygen-ethylene co-generation system, specifically comprising: Oxygen preparation module, ethylene preparation module, data monitoring module; The oxygen preparation module is responsible for inducing an oxidation reaction of water to produce oxygen and hydrogen using a semiconductor catalyst under the irradiation and excitation of a light source; The ethylene preparation module is responsible for reducing carbon dioxide to ethylene under the synergistic effect of the catalyst and in combination with hydrogen; The data monitoring module is responsible for determining the preparation control processing method of the combined generation system by utilizing the analysis results of the monitoring parameters of the combined generation system during the preparation process.

[0006] A further technical solution is that the semiconductor catalyst is constructed using nitride semiconductor.

[0007] A further technical solution is that the catalyst is constructed using a bimetallic catalyst.

[0008] A further technical solution is that when the purity of oxygen or ethylene in the monitoring parameters of the combined generation system does not meet the requirements, the preparation control processing method of the combined generation system is determined to suspend the preparation.

[0009] In a second aspect, the present application provides a method for photosynthetic oxygen-ethylene co-generation based on semiconductor catalysis, which is applied to the above-mentioned photosynthetic oxygen-ethylene co-generation system based on semiconductor catalysis, and specifically includes: S1 determines the time period distribution data of different consumption intervals within a preset time period based on the consumption data of oxygen and ethylene, and when it is determined that the consumption data of oxygen and ethylene meet the requirements based on the time period distribution data and the remaining data, proceeds to the next step; S2 obtains the fluctuation of the preparation-related data in different time periods within a preset time period, and combines the deviation of the preparation parameters of oxygen and ethylene in different time periods to determine the preparation risk coefficient of the joint generation system. When it is within the preset risk coefficient range, the fluctuation of the preparation-related data in different time periods is used to determine the historical similar reference time periods in different time periods; S3 determining the preparation deviation risk period and the deviation risk coefficient in the period according to the deviation of the preparation parameters in different historical similar reference periods; S4 obtains the deviation risk coefficient and preparation data of the preparation deviation risk period within a preset time period, and determines the preparation control processing method of the combined generation system in combination with the real-time monitoring parameters and consumption data of oxygen and ethylene.

[0010] A further technical solution is that the preset time period is dynamically adjusted according to the remaining data of the oxygen and ethylene, wherein the more the remaining amount of the oxygen and ethylene is, the shorter the duration of the preset time period is.

[0011] A further technical solution is that the time period distribution data of the consumption interval includes the number of time periods in different consumption intervals and the consumption in different time periods.

[0012] A further technical solution is to determine whether the consumption data of oxygen and ethylene meet the requirements, specifically including: Based on the time period distribution data, determine the time period quantity ratios of different consumption intervals; Determine whether there is a consumption interval in which the proportion of the time period is greater than the proportion of the preset time period. If not, determine that the consumption data of oxygen and ethylene do not meet the requirements. If not, proceed to the next step. The consumption interval in which the proportion of the time period number is greater than the proportion of the preset time period number is taken as the reference consumption interval, and the available time under the reference consumption is determined based on the reference consumption corresponding to the reference consumption interval and the remaining data, and the available time is used to determine whether the consumption data of the oxygen and ethylene meet the requirements.

[0013] A further technical solution is that when the available time is less than a preset available time threshold, it is determined that the consumption data of oxygen and ethylene do not meet the requirements.

[0014] A further technical solution is that when the consumption data of the oxygen and ethylene do not meet the requirements, it is determined that there is no need to perform the preparation control processing of the combined generation system.

[0015] The present invention has the following significant beneficial effects: 1. Co-generation of oxygen and fuel: The present invention can simultaneously achieve two key functions in a closed environment, providing both indispensable oxygen for human breathing and high-quality fuel ethylene for the operation of machinery and equipment, effectively solving the two core needs in a closed environment and having extremely high practical value.

[0016] 2. Low energy consumption advantage: Compared with traditional preparation methods, this technology greatly reduces energy consumption by virtue of its characteristics of reacting at room temperature and pressure. At a time when energy is becoming increasingly scarce, it demonstrates strong competitiveness and sustainable development potential.

[0017] 3. Modular and flexible design: The present invention adopts a modular design concept for assembly. This design method gives the device a high degree of flexibility, and the size of the device can be freely adjusted according to actual needs. Whether it is a small special medical ward, emergency equipment, or a large ship or other confined space, it can be quickly and conveniently assembled into a device of appropriate size according to specific space restrictions and oxygen and fuel requirements, and can be expanded at any time. Mass production provides solid, flexible and sustainable technical support for many fields such as the medical and defense industries.

[0018] 4. Based on the time period distribution data and the remaining data, determine whether the consumption data of oxygen and ethylene meet the requirements, thereby avoiding the technical problem of being unable to replenish oxygen and ethylene in time when the remaining amount of oxygen and ethylene cannot meet the consumption demand for production control, ensuring the reliability of oxygen and ethylene supply, and also laying the foundation for generating differentiated production control strategies based on whether the remaining data is sufficient.

[0019] 5. The preparation control processing method of the joint generation system is determined based on the deviation risk coefficient and preparation data of the preparation deviation risk period within the preset time period, combined with the real-time monitoring parameters and consumption data of oxygen and ethylene. This not only takes into account the impact of the deviation risk coefficient and preparation data differences in the preparation deviation risk period on the purity of oxygen and ethylene within the future preset time period, but also takes into account the difference in the probability of purity abnormalities occurring under the same preparation state due to the differences in real-time monitoring parameters and consumption data of oxygen and ethylene. This ensures that the purity of oxygen and ethylene can be controlled within a reasonable range, and also realizes the dynamic adjustment of the preparation control processing method.

[0020] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0021] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings; Figure 1 This is a framework diagram of a photosynthetic oxygen-ethylene co-generation device based on semiconductor catalysis; Figure 2 It is a flow chart of a method for photosynthetic oxygen-ethylene co-generation based on semiconductor catalysis; Figure 3 It is a flow chart to confirm that the consumption data of oxygen and ethylene meet the requirements; Figure 4 is a flow chart of a method for determining a preparation risk factor for a joint generation system; Figure 5 Flow chart of a method for determining a manufacturing deviation risk period in a period. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0024] In terms of energy supply, we currently rely mainly on limited fuel reserves. However, these fuel reserves are not only limited in quantity and difficult to meet long-term and continuous energy needs, but also in a closed environment, the storage and use of fuels also pose safety risks. Therefore, the development of an innovative technology that can produce oxygen and fuel simultaneously in a closed environment with high efficiency and low consumption has become a key issue that needs to be solved urgently.

[0025] The core objective of the present invention is to provide a new method that uses semiconductor catalysis technology to simulate natural photosynthesis of plants, which can effectively convert carbon dioxide and water into oxygen and ethylene at normal temperature and pressure to effectively solve the series of problems mentioned above.

[0026] Specifically, the technical solution of the present invention is as follows: a nitride semiconductor (GaN) is selected as the core catalyst. Under the irradiation and excitation of a light source, the semiconductor catalyst can induce an oxidation reaction of water to produce oxygen. At the same time, carbon dioxide is reduced to ethylene by hydrogenation under the synergistic effect of a bimetallic (Fe-Co) catalyst. In the preparation process, microfluidic control technology is used to optimize the microstructure of the gas diffusion electrode, regulate the surface tension and flow shear force during the microchannel fluid reaction, and promote the detachment and diffusion transport of the product gas. It is worth emphasizing that the entire reaction process is carried out under mild conditions of normal temperature and pressure, without the need for harsh reaction conditions such as high temperature and high pressure, which fundamentally reduces energy consumption and significantly improves energy utilization efficiency.

[0027] Specifically include the following: 1. Obtain nitride semiconductor materials and metal catalysts and assemble them precisely in a specific ratio and scientific manner that has been verified by a large number of experiments.

[0028] 2. Properly place the assembled device in the target closed environment, and steadily and continuously introduce a certain flow rate of carbon dioxide and water to provide sufficient raw materials for the reaction.

[0029] 3. Turn on the light source to allow the semiconductor catalyst to quickly initiate a reaction under the stimulation of light. During the ongoing reaction, use high-precision monitoring equipment to continuously monitor the generation of oxygen and ethylene in real time, and adjust and optimize the reaction conditions in a timely and accurate manner based on the monitoring data to ensure that the reaction is always maintained in the best state and achieve efficient generation of oxygen and ethylene.

[0030] Example 1 Figure 1 As shown, the present application provides a first aspect, which provides a photosynthetic oxygen-ethylene co-generation system based on semiconductor catalysis, specifically comprising: Oxygen preparation module, ethylene preparation module, data monitoring module; The oxygen preparation module is responsible for inducing an oxidation reaction of water to produce oxygen and hydrogen using a semiconductor catalyst under the irradiation and excitation of a light source; The ethylene preparation module is responsible for reducing carbon dioxide to ethylene under the synergistic effect of the catalyst and in combination with hydrogen; The data monitoring module is responsible for determining the preparation control processing method of the combined generation system by utilizing the analysis results of the monitoring parameters of the combined generation system during the preparation process.

[0031] Furthermore, the semiconductor catalyst is constructed using nitride semiconductor.

[0032] Specifically, the catalyst is constructed using a bimetallic catalyst.

[0033] It can be understood that when the purity of oxygen or ethylene in the monitoring parameters of the combined generation system does not meet the requirements, the preparation control processing method of the combined generation system is determined to suspend the preparation.

[0034] Example 2 determines the available time under the consumption based on the consumption and remaining data within a preset time period. When the available time is less than 1 hour, it is determined that the consumption data of oxygen and ethylene do not meet the requirements.

[0035] The changes in the preparation-related data between different adjacent moments in different time periods are used, and the proportion of the number of change moments is used to determine the associated data fluctuation period in the time period. The deviation of the preparation parameters at different moments is used to determine the preparation parameter deviation moment in different associated data fluctuation periods. The associated data fluctuation period with the preparation parameter deviation moment is used as the fluctuation deviation period, and the proportion of the duration of the fluctuation deviation period within the preset time period is used as the preparation risk coefficient of the joint generation system.

[0036] The proportion of preparation parameter deviations in historically similar reference periods of the period is used as the deviation risk coefficient. When the deviation risk coefficient is greater than 0.3, the period is determined to be a preparation deviation risk period.

[0037] The predicted purity of oxygen and ethylene in the future time period is determined based on the deviation risk coefficient and preparation data of the preparation deviation risk period within the preset time period, combined with the real-time monitoring parameters and consumption data of oxygen and ethylene. When the predicted purity of oxygen and ethylene in the future time period does not meet the requirements, the preparation control processing method of the combined generation system is determined to suspend the preparation.

[0038] Second, as Figure 2 As shown, the present application provides a method for photosynthetic oxygen-ethylene co-generation based on semiconductor catalysis, which is applied to the above-mentioned photosynthetic oxygen-ethylene co-generation system based on semiconductor catalysis, and specifically includes: S1 determines the time period distribution data of different consumption intervals within a preset time period based on the consumption data of oxygen and ethylene, and when it is determined that the consumption data of oxygen and ethylene meet the requirements based on the time period distribution data and the remaining data, proceeds to the next step; Furthermore, the preset time period is dynamically adjusted according to the remaining data of the oxygen and ethylene, wherein the more the remaining amount of the oxygen and ethylene is, the shorter the duration of the preset time period is.

[0039] Specifically, the time period distribution data of the consumption interval includes the number of time periods in different consumption intervals and the consumption in different time periods.

[0040] It is understandable that if Figure 3 As shown, it is determined that the consumption data of oxygen and ethylene meet the requirements, specifically including: Based on the time period distribution data, determine the time period quantity ratios of different consumption intervals; Determine whether there is a consumption interval in which the proportion of the time period is greater than the proportion of the preset time period. If not, determine that the consumption data of oxygen and ethylene do not meet the requirements. If not, proceed to the next step. The consumption interval in which the proportion of the time period number is greater than the proportion of the preset time period number is taken as the reference consumption interval, and the available time under the reference consumption is determined based on the reference consumption corresponding to the reference consumption interval and the remaining data, and the available time is used to determine whether the consumption data of the oxygen and ethylene meet the requirements.

[0041] A further technical solution is that when the available time is less than a preset available time threshold, it is determined that the consumption data of oxygen and ethylene do not meet the requirements.

[0042] Further, when the consumption data of the oxygen and ethylene do not meet the requirements, it is determined that there is no need to perform the preparation control process of the combined generation system.

[0043] In another embodiment, determining that the oxygen and ethylene consumption data meet the requirements specifically includes: Based on the time period distribution data, determine the time period quantity ratios of different consumption intervals; Determine the time period weight coefficients of different consumption intervals based on the time period quantity ratios of different consumption intervals, and determine the predicted consumption within a preset time range based on the reference consumption corresponding to different consumption intervals and the corresponding time period weight coefficients; Based on the preset consumption and the remaining data, the available time under the reference consumption is determined, and the available time is used to determine whether the consumption data of the oxygen and ethylene meet the requirements.

[0044] In another embodiment, determining that the oxygen and ethylene consumption data meet the requirements specifically includes: Based on the time period distribution data, the consumption of the oxygen and ethylene in a preset time period is obtained, and when the ratio of the remaining data to the consumption is less than a preset ratio threshold, it is determined that the consumption data of the oxygen and ethylene do not meet the requirements; When the ratio of the remaining data to the consumption is not less than a preset ratio threshold: Obtaining a ratio of the remaining data to the consumption, and when the ratio of the remaining data to the consumption is within a preset ratio interval, determining that the consumption data of oxygen and ethylene meet the requirements; When the ratio of the remaining data to the consumption is not within the preset ratio range: Based on the time period distribution data, determine the time period quantity ratios of different consumption intervals, and when there is no consumption interval whose time period quantity ratio is greater than the preset time period quantity ratio, determine that the consumption data of oxygen and ethylene do not meet the requirements; When there is a consumption interval whose time period ratio is greater than the preset time period ratio: The consumption interval in which the time period quantity ratio is greater than the preset time period quantity ratio is used as a reference consumption interval, and when the ratio of the reference consumption corresponding to the reference consumption interval to the remaining data does not meet the requirement, it is determined that the consumption data of the oxygen and ethylene do not meet the requirement; When the ratio of the reference consumption corresponding to the reference consumption interval to the remaining data meets the requirement: Determine the time period weight coefficients of different consumption intervals based on the time period quantity ratios of different consumption intervals, and determine the predicted consumption within a preset time range based on the reference consumption corresponding to different consumption intervals and the corresponding time period weight coefficients; Based on the preset consumption and the remaining data, the available time under the reference consumption is determined, and the available time is used to determine whether the consumption data of the oxygen and ethylene meet the requirements.

[0045] S2 obtains the fluctuation of the preparation-related data in different time periods within a preset time period, and combines the deviation of the preparation parameters of oxygen and ethylene in different time periods to determine the preparation risk coefficient of the joint generation system. When it is within the preset risk coefficient range, the fluctuation of the preparation-related data in different time periods is used to determine the historical similar reference time periods in different time periods; Furthermore, the preparation-related data includes carbon dioxide flow and water flow.

[0046] Specifically, the fluctuation of the preparation-related data is determined according to the changes of the preparation-related data at different moments in the time period.

[0047] It will be appreciated that the production parameters include oxygen purity and ethylene purity.

[0048] Furthermore, the deviation of the preparation parameters is determined based on the deviation of the oxygen purity and ethylene purity from a preset purity range.

[0049] It is understandable that if Figure 4 As shown, the method for determining the preparation risk coefficient of the combined generation system is: Determine the change of the prepared associated data between different adjacent moments in different time periods based on the fluctuation of the prepared associated data in different time periods, and determine the associated data fluctuation period in the time period based on the change; Obtaining deviations of preparation parameters at different times in different associated data fluctuation periods, and using the deviations of preparation parameters at different times to determine the deviation moments of preparation parameters in different associated data fluctuation periods; The preparation risk coefficient of the joint generation system is determined based on the product of an average value of the number of preparation parameter deviation moments in different associated data fluctuation periods and a duration ratio of the associated data fluctuation period within a preset time period.

[0050] Furthermore, the preparation parameter deviation moment is the moment when the deviation from the preset parameter range does not meet the requirements.

[0051] It should be noted that the value range of the preparation risk coefficient of the joint generation system is between 0 and 1, wherein the larger the preparation risk coefficient of the joint generation system is, the greater the probability that the preparation parameters of the joint generation system will be abnormal.

[0052] It can be understood that when the preparation risk coefficient of the joint generation system is not within the preset risk coefficient range, it is also necessary to determine whether the preparation risk coefficient of the joint generation system is greater than the preset risk coefficient threshold. If so, the preparation control processing method of the joint generation system is determined to suspend preparation; if not, the preparation control processing method of the joint generation system is determined to be that there is no need to perform preparation control processing of the joint generation system.

[0053] In another possible embodiment, the method for determining the preparation risk coefficient of the joint generation system is: Determine the change of the prepared associated data between different adjacent moments in different time periods based on the fluctuation of the prepared associated data in different time periods, and determine the associated data fluctuation period in the time period based on the change; Obtaining deviations of preparation parameters at different times in different associated data fluctuation periods, and using the deviations of preparation parameters at different times to determine the deviation moments of preparation parameters in different associated data fluctuation periods; The associated data fluctuation period when there is a preparation parameter deviation is taken as the fluctuation deviation period, and the preparation risk coefficient of the joint generation system is determined according to the proportion of the duration of the fluctuation deviation period within the preset time period.

[0054] Optionally, the method for determining the preparation risk coefficient of the joint generation system is: When it is determined that there is no moment of preparation parameter deviation within the preset time period based on the deviation of the preparation parameters at different moments within the preset time period, it is determined that there is no need to perform the preparation control processing of the joint generation system; When there is a moment of preparation parameter deviation within the preset time period: Acquiring the number of preparation parameter deviation moments within a preset time period, and when the number of preparation parameter deviation moments within the preset time period does not meet the requirement, determining that the preparation control processing method of the joint generation system is to suspend preparation; When the number of preparation parameter deviation moments within the preset time period meets the requirements: Determine the change of the preparation-related data between different adjacent moments in different time periods based on the fluctuation of the preparation-related data in different time periods, and when it is determined by using the change that there is no fluctuation moment of the related data within the preset time period, determine that the preparation control processing of the joint generation system is not required; When the change situation is used to determine that there is a fluctuation moment of the associated data within the preset time period: When the number of the associated data fluctuation moments does not meet the requirement, determining the preparation control processing method of the joint generation system to suspend preparation; When the number of associated data fluctuation moments meets the requirement: When it is determined by using the associated data fluctuation moment that there is no associated data fluctuation period in the period, it is determined that there is no need to perform the preparation control process of the joint generation system; When determining that there is a period of associated data fluctuation in the period by using the associated data fluctuation moment: Acquire the number of the associated data fluctuation time periods and the total number of preparation parameter deviation moments in the associated data fluctuation time periods, and when any one of the number of the associated data fluctuation time periods and the total number of preparation parameter deviation moments in the associated data fluctuation time periods does not meet the requirement, determine that the preparation control processing method of the joint generation system is to suspend preparation; When the number of the associated data fluctuation periods and the total number of the preparation parameter deviation moments in the associated data fluctuation periods meet the requirements: The preparation risk coefficient of the joint generation system is determined based on the product of an average value of the number of preparation parameter deviation moments in different associated data fluctuation periods and a duration ratio of the associated data fluctuation period within a preset time period.

[0055] Furthermore, the historical similarity reference period is a period in which the deviations of the preparation-related data at different times from the period meet the requirements.

[0056] S3 determining the preparation deviation risk period and the deviation risk coefficient in the period according to the deviation of the preparation parameters in different historical similar reference periods; It should be noted that if Figure 5 As shown, the method for determining the preparation deviation risk period in the period is: Based on the deviation of the preparation parameters in different historical similar reference periods, determine the time when the preparation parameters in different historical similar reference periods have deviations, and use it as the preparation parameter deviation time; The historical similar reference period at the time when the preparation parameter deviation occurred is used as the similar deviation reference period; Obtain the average value of the number of proportions of preparation parameter deviation moments in different similar deviation reference time periods, and use the product of the average value of the number of proportions of preparation parameter deviation moments in different similar deviation reference time periods and the proportion of similar deviation reference time periods in the historical similar reference time periods as the deviation risk coefficient, and use the deviation risk coefficient to determine whether the period is a preparation deviation risk period.

[0057] Furthermore, when the deviation risk coefficient of the time period does not meet the requirements, the time period is determined to be a preparation deviation risk time period.

[0058] S4 obtains the deviation risk coefficient and preparation data of the preparation deviation risk period within a preset time period, and determines the preparation control processing method of the combined generation system in combination with the real-time monitoring parameters and consumption data of oxygen and ethylene.

[0059] It can be understood that the method for determining the preparation control processing method of the joint generation system is: Based on the deviation risk coefficient of the preparation deviation risk period within the preset time period and the preparation data, the production amounts of oxygen and ethylene in different preparation deviation risk periods are determined, and the production parameter influence coefficient within the preset time period is determined according to the production amount and the deviation risk coefficient; Determine the remaining amount of oxygen and ethylene in different preset time periods within a future preset time period according to the real-time monitoring parameters and consumption data of the oxygen and ethylene, and determine the purity abnormality coefficient in different preset time periods within a future preset time period in combination with the preparation parameter influence coefficient; The preset time period of the purity abnormality coefficient within the preset abnormality coefficient interval is determined based on the purity abnormality coefficient within different preset time periods, and the preparation control processing method of the joint generation system is determined by using the number of preset time periods of the purity abnormality coefficient within the preset abnormality coefficient interval.

[0060] Further, the preparation control processing method of the joint production system is determined by using the number of preset time periods of the purity abnormality coefficient within the preset abnormality coefficient interval, specifically including: When the number of preset time periods of the purity abnormal coefficient within the preset abnormal coefficient interval is greater than the preset period number, determining that the preparation control processing method of the joint production system is to suspend preparation; When the number of preset time periods of the purity abnormality coefficient within the preset abnormality coefficient interval is not greater than the preset number of periods, the proportion of abnormal periods is determined by using the proportion of the number of preset time periods of the purity abnormality coefficient within the preset abnormality coefficient interval, and the maximum preparation efficiency of the joint generation system is determined based on the abnormal period proportion, and the preparation control processing of the joint generation system is performed using the maximum preparation efficiency.

[0061] Optionally, the method for determining the preparation control processing method of the joint generation system is: S41 determines the production amounts of oxygen and ethylene in different production deviation risk periods based on the deviation risk coefficient of the production deviation risk period within the preset time period and the production data, and determines the production parameter influence coefficient within the preset time period according to the production amount and the deviation risk coefficient; S42: determining the remaining amount of oxygen and ethylene in different preset time periods within a future preset time period according to the real-time monitoring parameters and consumption data of the oxygen and ethylene, and determining the purity abnormality coefficient in different preset time periods within a future preset time period in combination with the preparation parameter influence coefficient; S43 determines the production purity deviation coefficient within a future preset time period based on the purity abnormality coefficient within different preset time periods, and uses the production purity deviation coefficient to determine the preparation control processing method of the joint production system.

[0062] Furthermore, the preparation control processing method of the combined production system is determined by using the preparation purity deviation coefficient, which specifically includes: When the preparation purity deviation coefficient does not meet the requirement, the preparation control processing method of the combined production system is determined to be suspending the preparation; When the preparation purity deviation coefficient meets the requirements, the preparation purity deviation coefficient is used to determine the maximum preparation efficiency of the combined production system, and the maximum preparation efficiency is used to perform preparation control processing of the combined production system.

[0063] Optionally, the above step S41 includes the following contents: S411 obtains the time period ratio of the preparation deviation risk time period within the preset time period. When the time period ratio of the preparation deviation risk time period within the preset time period does not meet the requirement, the preparation control processing method of the joint generation system is determined to suspend the preparation. When the time period ratio of the preparation deviation risk time period within the preset time period meets the requirement, the process proceeds to step S412. S412 determines the production amount of oxygen and ethylene in different production deviation risk periods based on the deviation risk coefficient of the production deviation risk period within the preset time period and the production data, and determines the production parameter influence coefficient within the preset time period according to the production amount and the deviation risk coefficient. When the production parameter influence coefficient does not meet the requirements, the production control processing method of the joint production system is determined to be suspended. When the proportion of the number of production deviation risk periods within the preset time period meets the requirements, the process proceeds to step S413. S413: When the preparation parameter influence coefficient is within the preset influence coefficient range, the process proceeds to step S421; when the preparation parameter influence coefficient is not within the preset influence coefficient range, the preparation control processing method of the joint generation system is determined as requiring no control processing.

[0064] Optionally, the above step S42 includes the following contents: S421: determining the remaining amount of oxygen and ethylene in different preset time periods in the future preset time period according to the real-time monitoring parameters and consumption data of the oxygen and ethylene, and determining the purity abnormality coefficient in different preset time periods in the future preset time period in combination with the preparation parameter influence coefficient; S422: when there is a preset time period during which the purity abnormality coefficient does not meet the requirement, the preparation control processing method of the joint production system is determined to be suspending the preparation; when there is no preset time period during which the purity abnormality coefficient does not meet the requirement, the process proceeds to step S423; S423: when the purity abnormality coefficients in different preset time periods are all less than the preset abnormality coefficient threshold, it is determined that the preparation control processing method of the joint production system does not require control processing; when there is a preset time period in which the purity abnormality coefficient is not less than the preset abnormality coefficient threshold, the process proceeds to step S424; S424 When the number of preset time periods during which the purity abnormality coefficient is not less than the preset abnormality coefficient threshold value does not meet the requirements, the preparation control processing method of the joint generation system is determined to suspend preparation. When the number of preset time periods during which the purity abnormality coefficient is not less than the preset abnormality coefficient threshold value meets the requirements, proceed to step S43.

[0065] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0066] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0067] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A photosynthetic oxygen-ethylene co-generation system based on semiconductor catalysis, characterized in that: Specifically include: Oxygen preparation module, ethylene preparation module, data monitoring module; The oxygen preparation module is responsible for inducing an oxidation reaction of water to produce oxygen and hydrogen using a semiconductor catalyst under the irradiation and excitation of a light source; The ethylene preparation module is responsible for reducing carbon dioxide to ethylene under the synergistic effect of the catalyst and in combination with hydrogen; The data monitoring module is responsible for determining the preparation control processing method of the combined generation system by using the analysis results of the monitoring parameters of the combined generation system during the preparation process.

2. The semiconductor-catalyzed photosynthetic oxygen-ethylene co-generation system according to claim 1, characterized in that: The semiconductor catalyst is constructed using a nitride semiconductor.

3. The semiconductor-catalyzed photosynthetic oxygen-ethylene co-generation system according to claim 1, characterized in that: The catalyst is constructed by using a bimetallic catalyst.

4. A method for the combined production of oxygen and ethylene based on semiconductor catalysis, applied to a system for the combined production of oxygen and ethylene based on semiconductor catalysis according to any one of claims 1 to 3, characterized in that: Specifically include: Based on the consumption data of oxygen and ethylene, determine the time period distribution data of different consumption intervals within a preset time period, and based on the time period distribution data and the remaining data, when it is determined that the consumption data of oxygen and ethylene meet the requirements, proceed to the next step; Obtaining fluctuations in preparation-related data at different time periods within a preset time period, and combining the deviations in the preparation parameters of oxygen and ethylene in different time periods, determining the preparation risk coefficient of the joint generation system within a preset risk coefficient range, and determining historical similar reference time periods in different time periods based on the fluctuations in the preparation-related data at different time periods; Determine the preparation deviation risk period and the deviation risk coefficient in the period according to the deviation of the preparation parameters in different historical similar reference periods; The deviation risk coefficient and preparation data of the preparation deviation risk period within a preset time period are obtained, and the preparation control processing method of the combined generation system is determined in combination with the real-time monitoring parameters and consumption data of oxygen and ethylene.

5. The method for photosynthetic oxygen-ethylene co-production based on semiconductor catalysis according to claim 4, characterized in that: The preset time period is dynamically adjusted according to the remaining data of the oxygen and ethylene, wherein the greater the remaining amount of the oxygen and ethylene, the shorter the duration of the preset time period.

6. The method for photosynthetic oxygen-ethylene co-production based on semiconductor catalysis according to claim 4, characterized in that: Confirm that the oxygen and ethylene consumption data meet the requirements, including: Based on the time period distribution data, determine the time period quantity ratios of different consumption intervals; Determine whether there is a consumption interval in which the proportion of the time period is greater than the proportion of the preset time period. If not, determine that the consumption data of oxygen and ethylene do not meet the requirements. If not, proceed to the next step. The consumption interval in which the proportion of the time period number is greater than the proportion of the preset time period number is taken as the reference consumption interval, and the available time under the reference consumption is determined based on the reference consumption corresponding to the reference consumption interval and the remaining data, and the available time is used to determine whether the consumption data of the oxygen and ethylene meet the requirements.

7. The method for photosynthetic oxygen-ethylene co-production based on semiconductor catalysis according to claim 4, characterized in that: When the consumption data of the oxygen and ethylene do not meet the requirements, it is determined that there is no need to perform the preparation control process of the combined generation system.

8. The method for photosynthetic oxygen-ethylene co-production based on semiconductor catalysis according to claim 4, characterized in that: The method for determining the preparation deviation risk period in the period is: Based on the deviation of the preparation parameters in different historical similar reference periods, determine the time when the preparation parameters in different historical similar reference periods have deviations, and use it as the preparation parameter deviation time; The historical similar reference period at the time when the preparation parameter deviation occurred is used as the similar deviation reference period; Obtain the average value of the number of proportions of preparation parameter deviation moments in different similar deviation reference time periods, and use the product of the average value of the number of proportions of preparation parameter deviation moments in different similar deviation reference time periods and the proportion of similar deviation reference time periods in the historical similar reference time periods as the deviation risk coefficient, and use the deviation risk coefficient to determine whether the period is a preparation deviation risk period.

9. The method for photosynthetic oxygen-ethylene co-production based on semiconductor catalysis according to claim 8, characterized in that: When the deviation risk coefficient of the time period does not meet the requirements, the time period is determined to be a preparation deviation risk time period.

10. The method for photosynthetic oxygen-ethylene co-production based on semiconductor catalysis according to claim 4, characterized in that: The method for determining the preparation control processing method of the combined generation system is: Based on the deviation risk coefficient of the preparation deviation risk period within the preset time period and the preparation data, the production amounts of oxygen and ethylene in different preparation deviation risk periods are determined, and the production parameter influence coefficient within the preset time period is determined according to the production amount and the deviation risk coefficient; Determine the remaining amount of oxygen and ethylene in different preset time periods within a future preset time period according to the real-time monitoring parameters and consumption data of the oxygen and ethylene, and determine the purity abnormality coefficient in different preset time periods within a future preset time period in combination with the preparation parameter influence coefficient; The preset time period of the purity abnormality coefficient within the preset abnormality coefficient interval is determined based on the purity abnormality coefficient within different preset time periods, and the preparation control processing method of the joint generation system is determined by using the number of preset time periods of the purity abnormality coefficient within the preset abnormality coefficient interval.

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