Deep learning-based intelligent regulation and control system for cyclic utilization of resources in ecological cabin

Abstract

The invention discloses an ecological cabin resource cyclic utilization intelligent regulation and control system based on deep learning, which relates to the technical field of resource cyclic utilization and comprises a state data acquisition module, a time sequence conflict detection module, a reset sequence arrangement module, a pressure transition control module and a dynamic reset execution module, a pressure value, a flow value, a valve opening degree, a discharge preparation signal and corresponding time records of the ecological cabin resource recycling system before resetting are collected, and a resetting state record table is formed. According to the invention, through dynamic regulation and control based on time and state data, multi-loop reset time sequence coordination and conflict elimination are realized, and control dislocation caused by overlapping of discharge operation is avoided; and meanwhile, a pressure transition time period is set in the resetting process, and a post-execution loop is dynamically started, so that gas-liquid pressure balance in the cabin is kept, recoil and impact are prevented, and the resource circulation stability and the operation reliability of the ecological cabin are improved.

Description

Technical Field

[0001] This invention relates to the field of resource recycling technology, specifically to an intelligent control system for resource recycling within an ecological cabin based on deep learning. Background Technology

[0002] Intelligent regulation of resource recycling within an ecological cabin based on deep learning refers to a comprehensive control method that utilizes deep learning models and a data acquisition and control system to monitor, dynamically predict, and adaptively adjust various resources (including water, air, nutrients, energy, and waste) in a closed or semi-closed ecological environment (such as a space capsule, bioregeneration capsule, or extreme environment survival capsule). The system collects multi-dimensional data, including temperature and humidity, oxygen concentration, carbon dioxide content, changes in microbial communities, crop growth status, and waste conversion efficiency, through a multi-source sensor network and data acquisition and control system to construct a dynamic correlation model of material and energy flows within the cabin. Deep learning algorithms perform pattern recognition and trend analysis on this time-series data, automatically determining resource supply and demand and recycling efficiency. Subsequently, based on the model output and feedback from the acquisition and control system, the system coordinates and regulates aspects such as air purification, water regeneration, nutrient solution ratio, bioreactor operation, and energy distribution, thereby achieving closed-loop recycling and optimal resource allocation within the ecological cabin. Its core lies in the two-way linkage between the AI-driven predictive-feedback mechanism and the data acquisition and control system, which replaces the traditional static control logic. This enables the ecological cabin to have self-learning, self-correction, and self-optimization capabilities in complex and ever-changing life support environments, ensuring the long-term stable operation and ecological balance of the system.

[0003] The existing technology has the following shortcomings: In existing technologies, during the multi-loop reset process of the ecological cabin resource recycling system, the air purification loop and the water regeneration loop are often time-sequentially scheduled by the same control terminal. When both trigger emission programs simultaneously during operation, phase overlap of control rhythms can easily occur. Since the priority judgment of the deep learning control terminal in complex environments relies on real-time data learning, if the model fails to correctly distinguish the order of emission timing, overlapping or misaligned execution commands can easily occur, leading to a momentary reversal of the gas-liquid emission path and creating a pressure backflow phenomenon. This backflow can cause short-term high-pressure fluctuations in the cabin's piping network, triggering valve body impact, filter unit instability, and damage to sealing components. In severe cases, it can also cause sensor misjudgments and a chain reaction of control system failures, affecting the stable operation of the ecological cabin resource recycling system.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent control system for resource recycling within an ecological cabin based on deep learning, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a deep learning-based intelligent control system for resource recycling within an ecological cabin, comprising a state data acquisition module, a timing conflict detection module, a reset sequence scheduling module, a pressure transition control module, and a dynamic reset execution module. The status data acquisition module collects the pressure, flow rate, valve opening, emission preparation signal, and corresponding time records of the ecological cabin resource recycling system before reset, forming a reset status record table, and marking the emission time points of the air purification circuit and water regeneration circuit in the reset status record table; The timing conflict detection module divides the emission time periods of the air purification circuit and the water regeneration circuit into their respective emission time periods according to the emission time points of the air purification circuit and the water regeneration circuit in the reset status record table. It compares whether the emission time periods of the two circuits overlap. If there is an overlap, a timing conflict record is generated, and the specific time and location of the conflict are marked in the timing conflict record. The reset sequence scheduling module determines the order of resetting the air purification circuit and the water regeneration circuit based on the time conflict record, calculates the interval between the circuits executed first and the circuits executed later, and updates the interval and the new emission time point to the reset status record table to form an updated reset arrangement. The pressure transition control module performs a reset operation according to the updated reset schedule. It sets a pressure transition time period during the discharge process of the first execution loop, so that the subsequent execution loop is in a waiting state, and records the pressure change data during the pressure transition time period to the reset status record table. The dynamic reset execution module determines the end time of the pressure transition period based on the pressure change data recorded in the reset status record table. After the pressure transition period ends, it starts the discharge of the subsequent execution loop and adds the discharge time period of the subsequent execution loop discharge process to the reset status record table, thereby forming a continuously updated reset time schedule to achieve the elimination of timing conflicts and pressure stabilization control of the ecological cabin resource recycling system.

[0007] Preferably, the process for forming the reset status record table is as follows: The status data acquisition module collects pressure values, flow values, valve opening, discharge preparation signals, and corresponding time records of the ecological cabin resource recycling system during the operation phase before reset, and records the collected operating parameters according to the time index. The status data acquisition module merges the obtained pressure values, flow values, valve opening degree and discharge preparation signals in chronological order, integrates the operating parameters of different loops at the same time point into a unified record data row, and establishes the correspondence between the parameters. The status data acquisition module extracts the emission preparation signals contained in the merged operation data, extracts the emission time points of the air purification circuit and water regeneration circuit, and binds each time point with the corresponding pressure value, flow value, and valve opening to form a time identifier set; The status data acquisition module generates a reset status record table from the organized and labeled operating data. The reset status record table uses the time field as the index field and records pressure data, flow data, valve opening degree and discharge preparation signal fields, and marks the discharge time points of the air purification circuit and water regeneration circuit.

[0008] Preferably, when generating the reset status record table, the discharge time points of the air purification circuit and the water regeneration circuit are distinguished by different identifiers, and a one-to-one correspondence is established in the time field. At the same time, the pressure value, flow rate value and valve opening are recorded synchronously according to the time index, thereby forming a reset status record table that includes circuit identification, time positioning information and the corresponding relationship of operating parameters.

[0009] Preferably, the steps for marking the specific time and location of the conflict in the time conflict record are as follows: Using the time record field in the reset status record table as an index, the continuous operation data before and after the emission preparation signal activation is extracted from the emission time point of the air purification circuit and the water regeneration circuit, and the emission start time and end time of each circuit are determined to form the emission time interval. The timing conflict detection module maps the emission time intervals of the air purification circuit and the water regeneration circuit onto a unified time axis, and compares the emission start time with the emission end time of the other circuit to determine whether there is an overlap between the two time intervals and the record of the overlapping time interval. The timing conflict detection module generates a timing conflict record based on the time index of the reset status record table, records the conflict time location and the running status parameters of the two loops, and assigns an independent number to each time overlap interval. The timing conflict detection module fills the start and end times of the timing conflict records back into the corresponding time row of the reset status record table, forming a label field to identify the conflict status and generate a unified emission time mapping table.

[0010] Preferably, when generating a time conflict record, the pressure values, flow values, and valve openings of the air purification circuit and the water regeneration circuit within the time overlap interval are recorded synchronously, and the conflict duration is written into the time conflict record, so that the time conflict record has both time information and operating parameter information, which can be used by the subsequent reset sequence scheduling module to determine and adjust the reset execution order.

[0011] Preferably, the updated reset arrangement is formed as follows: The conflict time intervals are sorted sequentially based on the start time field in the time conflict record, and the operating status parameters of the air purification circuit and water regeneration circuit are extracted to determine the operating load and resource consumption. The reset sequence scheduling module determines the order of resetting the air purification circuit and the water regeneration circuit by combining the operating status parameters within the conflict interval, and records the determined order of the first and last circuits to be executed in the time conflict record in the form of a time index. The reset sequence scheduling module calculates the interval between the first and second execution loops based on the conflict end time in the time conflict record and the emission start time in the reset status record table, and records the interval and the corresponding emission start time in the reset status record table. The reset sequence scheduling module uses the conflict interval number in the time conflict record as the retrieval index to integrate the data of the first execution loop, the second execution loop, and the interval duration into the reply bit status record table to generate an updated reset arrangement.

[0012] Preferably, when calculating the interval between the first and second execution loops, the pressure, flow rate and valve opening changes of the internal pipeline network are used as reference conditions. By matching the difference between the discharge end time and the start time, the interval is kept consistent with the time period during which the internal pressure recovers to a stable state, thereby ensuring the continuity of the reset operation sequence and pressure balance.

[0013] Preferably, the steps for recording pressure change data during the pressure transition period to the reset status record table are as follows: According to the updated reset schedule, the emission time point and interval information of the first-execution loop are read from the reset status record table, and the emission start time is located by indexing the time field. The pressure reference value before the emission starts is determined and the reset process is started. The pressure transition control module sets a pressure transition time period during the discharge process of the first execution loop. The start point of the pressure transition time period is the discharge start time, and the end point is the time when the pressure inside the chamber recovers to a stable state. During the pressure transition time period, a stable flow rate is maintained for the discharge operation, while the subsequent execution loop remains in a waiting state. The pressure transition control module continuously monitors the pressure changes in the chamber during the pressure transition period and records the pressure values, valve openings, flow changes, and discharge signal status in the reset status record table to form a pressure change sequence. The pressure transition control module updates the reset status record table at the end of the pressure transition period, writing the start time, end time and pressure change range into the table, and forming a time hierarchy relationship between the first execution loop discharge stage, the pressure transition stage and the subsequent execution loop waiting stage.

[0014] Preferably, the pressure change data inside the chamber is continuously recorded using the time field as an index during the pressure transition period, and the pressure value at each time point is stored synchronously with the corresponding flow value, valve opening degree and discharge signal status to form a time-series pressure change record, which is used for pressure stability judgment and reset timing adjustment in subsequent reset arrangements.

[0015] Preferably, the steps for determining the end time of the pressure transition period based on the pressure change data in the reset status record table, initiating the discharge of the subsequent execution loop at the end of the pressure transition period, and supplementing the discharge period of the subsequent execution loop to the reset status record table are as follows: The dynamic reset execution module reads the pressure field data from the reset status record table after the first loop discharge operation ends, and extracts the continuous pressure values ​​during the pressure transition period using the time field as the index, forming a complete pressure change sequence. The dynamic reset execution module compares the pressure values ​​at each moment with the reference pressure value at the end of the discharge based on the pressure change trend in the reset status record table, determines the time index for the chamber pressure to return to a stable state, and records the end time in the reset status record table. The dynamic reset execution module activates the discharge unit of the subsequent execution loop based on the end time recorded in the reset status record table, and records the discharge start time, pressure value, flow rate value and valve opening status of the subsequent execution loop using the time field as an index. The dynamic reset execution module adds the discharge time period data to the reset status record table when the discharge operation of the subsequent execution loop is completed, and synchronously updates the pressure change data, flow data and valve opening information of the subsequent execution loop to form a continuously updated reset time schedule.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention introduces a dynamic control mechanism based on time and state data during the resource recycling process in the eco-cabin, achieving timing coordination and conflict elimination for multi-loop reset operations. Through the synergistic effect of the state data acquisition module and the timing conflict detection module, the emission times of the air purification loop and the water regeneration loop are differentiated and rationally sequenced, avoiding control phase overlap caused by simultaneous triggering of emission operations. This ensures a continuous execution rhythm for the multi-loop control process. This method effectively prevents overlap and misalignment of emission commands during the execution phase, improving the stability and execution accuracy of resource recycling control within the eco-cabin.

[0017] This invention achieves dynamic pressure balance control during the reset process through the cooperation of a pressure transition control module and a dynamic reset execution module. By setting a pressure transition period during the discharge process of the first execution loop and activating the second execution loop after the pressure stabilizes, the pressure distribution in the gas-liquid channels within the chamber remains continuously balanced, preventing backlash and equipment impact caused by sudden changes in flow direction. This method ensures the pressure stability and component safety of the ecological chamber's piping network during reset, improving the reliability and long-term operational adaptability of the overall resource recycling process. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the method for the intelligent control system for resource recycling in an ecological cabin based on deep learning, as described in this invention. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0021] This invention provides, for example Figure 1 The deep learning-based intelligent control system for resource recycling within the ecological cabin, as shown, includes a status data acquisition module, a timing conflict detection module, a reset sequence scheduling module, a pressure transition control module, and a dynamic reset execution module. The status data acquisition module collects the pressure, flow rate, valve opening, emission preparation signal, and corresponding time records of the ecological cabin resource recycling system before reset, forming a reset status record table, and marking the emission time points of the air purification circuit and water regeneration circuit in the reset status record table; During the resource recycling process of the ecological cabin, in order to ensure that the operational status information of the air purification circuit and water regeneration circuit before the reset operation is completely recorded and forms a data foundation that can be used for subsequent time-series scheduling, the operational parameters before reset are systematically collected and organized. The entire process is achieved through continuous data acquisition, time correlation, information integration, and the generation of a reset status record table, so as to ensure that the operational status of the air purification circuit and water regeneration circuit before entering the reset stage is fully quantified. During the pre-reset operation phase of the ecological cabin resource recycling system, corresponding operating parameters were acquired from the pressure sensing unit, flow monitoring unit, valve control unit, and emission control unit. The pressure sensing unit continuously outputs pressure values ​​for the main pipeline network and each sub-loop within the cabin; the flow monitoring unit synchronously collects instantaneous flow data from the liquid and gas circulation channels; the valve control unit provides real-time opening information for each control valve; and the emission control unit outputs emission preparation signals for each loop. All collected values ​​are recorded using time as an index to ensure that each set of data has a time correspondence. This phase of operation allows for the complete capture of the basic operating status before reset, providing an accurate data source for subsequent data processing and emission time point labeling.

[0022] After obtaining the pressure, flow, valve opening, and discharge preparation signals before reset, these raw data are merged in chronological order. This merging process integrates operating parameters belonging to different loops at the same point in time into a single record row, establishing a correspondence between pressure, flow, valve opening, and discharge signals. During this process, each record is accompanied by a precise timestamp to maintain temporal continuity and parameter consistency in subsequent analysis. After merging, the data parameters are formatted and categorized, allowing data from different sources to be displayed and accessed within the same table structure. This merging and organization process not only ensures data temporal consistency but also lays a structured foundation for the subsequent generation of the reset status record table, enabling the pre-reset operating status to be presented intuitively in tabular form.

[0023] Based on the merged operational data, the pre-reset emission status information of the air purification circuit and water regeneration circuit is extracted according to the emission preparation signal contained in each record. For the time point when the emission preparation signal is detected, the corresponding time index is recorded according to the circuit category, and this time index is bound to the corresponding pressure value, flow rate value, valve opening, and other parameters. In this way, the pre-reset emission time of each air purification circuit and water regeneration circuit can be clearly identified, forming a time identifier set. During this process, to prevent confusion of emission time points of different circuits in subsequent analysis, an independent identifier number is assigned to the time point of each circuit for differentiation within the same table. Through this stage of operation, the reset status record table possesses three functional characteristics: circuit differentiation, time positioning, and parameter linkage.

[0024] The processed and labeled data is stored and visualized in the form of a reset status record table. This table contains multiple data fields, including time record, pressure data, flow rate data, valve opening, and emission preparation signal fields. The emission time points for the air purification loop and water regeneration loop are marked with symbols in the table, each corresponding to a time record field. To ensure that subsequent steps can directly utilize the information in this table, the time field is set as the primary index field in the table structure design, with all operating parameters using this field as the association key, achieving time-series management of the pre-reset status information. Through this stage of processing, the reset status record table not only records all the original data of the pressure, flow rate, valve opening, and emission signals of the ecological cabin resource recycling system before reset, but also clearly marks the emission time points for the air purification loop and water regeneration loop. This allows subsequent time-series conflict analysis and reset scheduling adjustments to be completed on the same data basis, enabling continuous tracking and dynamic updating of the reset status information.

[0025] The timing conflict detection module divides the emission time periods of the air purification circuit and the water regeneration circuit into their respective emission time periods according to the emission time points of the air purification circuit and the water regeneration circuit in the reset status record table. It compares whether the emission time periods of the two circuits overlap. If there is an overlap, a timing conflict record is generated, and the specific time and location of the conflict are marked in the timing conflict record. After the reset status record table has been established and includes the emission time points for both the air purification circuit and the water regeneration circuit, in order to further identify whether there is any overlap in the timing of the two circuits during the reset phase, the time data in the record table is segmented and compared for overlap, thereby generating a time conflict record and clarifying the specific time location of the conflict. This process is based on the time information already existing in the reset status record table, and unfolds through the steps of time division, time segment determination, overlap judgment, and conflict marking, so that the reset operation has a complete and controllable time sequence before execution: In the reset status record table, using the time record field as an index, continuous operational data for both the air purification and water regeneration circuits is extracted in both forward and backward directions from the point before emission preparation signal activation. Each data entry includes pressure, flow rate, valve opening, and emission preparation signal status. By extracting continuous time data from the same circuit, the start and end times of emission for that circuit can be determined, thus forming a continuous emission time interval. To ensure comparison of time data from different circuits under the same time reference, the time series of the two circuits are mapped onto a unified time axis, giving the emission activities of the air purification and water regeneration circuits a direct correspondence in the time dimension. In this way, the emission time periods of the two circuits can be clearly defined with start and end times as boundaries, providing a basis for subsequent overlap determination.

[0026] After determining the emission time periods for each of the two loops, the start and end points of each time period are sequentially arranged, and the relative positional relationship between the time periods is calculated. To ensure the accuracy of the comparison, the emission start time of the air purification loop and the emission start time of the water regeneration loop are compared with the emission end time of the other loop to determine whether the two time intervals overlap. If the emission start time of the air purification loop falls within the emission time range of the water regeneration loop, or vice versa, it indicates that the two loops are operating overlappingly within that time range. To ensure the integrity of the time periods, the start and end times of each overlap are recorded, thus obtaining a clear time overlap interval.

[0027] When overlapping emission periods are detected, a new time conflict record is generated based on the time index in the reset status record table. This time conflict record uses the time field as its core index field and records the specific time and location of the conflict, along with the corresponding emission status parameters for the air purification circuit and the water regeneration circuit. Each row of data in the time conflict record originates from the original data of the overlapping time interval in the reset status record table. This method comprehensively preserves the operational status of the two circuits at the time of the conflict. To further differentiate between different types of conflicts, each overlapping time period is assigned a unique number, and the duration of the conflict is appended to the record corresponding to that number. By establishing a time conflict record, the time interference between the two circuits during the reset phase is presented in a data-driven manner, allowing for scheduling adjustments during subsequent reset scheduling.

[0028] The generated time conflict records are associated with the original reset status record table to achieve dynamic linkage of time data. In this stage, the start and end times of the time conflict records are filled back into the corresponding time rows in the reset status record table, forming annotation fields so that the time periods in the reset status record table can directly display the conflict status. In this way, the reset status record table is transformed from a static operation record table into a time-series monitoring record table with conflict identification capabilities. At this point, the emission time periods of the air purification circuit and the water regeneration circuit have clear visual conflict indicators on the same time axis, and the subsequent reset sequence can be directly determined using these conflict time positions as input conditions. Through this stage of processing, the emission activities of the air purification circuit and the water regeneration circuit no longer exist independently, but form a unified emission time mapping table in the time dimension, enabling multi-circuit reset operations to use time conflict records as a reference to achieve orderly and non-overlapping reset execution planning.

[0029] The reset sequence scheduling module determines the order of resetting the air purification circuit and the water regeneration circuit based on the time conflict record, calculates the interval between the circuits executed first and the circuits executed later, and updates the interval and the new emission time point to the reset status record table to form an updated reset arrangement. After generating the time conflict record, to ensure the deterministic operation sequence of the air purification circuit and the water regeneration circuit during the reset phase and to prevent the two circuits from overlapping in time, the conflict information in the time conflict record is organized, sorted, and interval planned to determine the order of reset execution and calculate the time interval between the two circuits. The entire process is based on the time conflict record and reset status record table, and unfolds through steps of sequence judgment, time interval calculation, emission time update, and reset arrangement reconstruction, transforming the reset sequence from a conflict state to an ordered execution state. Based on the generated time conflict records, each set of conflict time intervals is sequentially organized. During this organization, the start time field in the time conflict record is used as the primary reference, arranging all conflict intervals chronologically. For each conflict interval, the corresponding operating status parameters of the air purification circuit and water regeneration circuit are extracted from the time conflict record, including pressure values, flow rates, and valve openings, to determine the operating load and resource occupancy of the two circuits within that time interval. By comparing the operating status of the two circuits during the conflict period, it can be determined which circuit was in a resource-sensitive or stability-critical stage when the conflict occurred, thus providing data for determining the subsequent reset execution order. Throughout this process, it is ensured that each conflict record maintains an indexed correspondence with the original data in the reset status record table, enabling subsequent update operations to accurately locate the specific time period.

[0030] After compiling the time conflict records, the order of resetting the air purification circuit and the water regeneration circuit is determined by combining the operational status parameters within each conflict interval. The resource occupancy status of the circuits within the conflict interval is the core reference condition for determining the order. When the pressure fluctuation range of the air purification circuit is greater than that of the water regeneration circuit during the conflict period, and the flow rate change is in an unstable phase, the air purification circuit is prioritized as the first circuit to be executed. When the water regeneration circuit is in the final stage of discharge completion during the conflict period, and the corresponding pressure value tends to stabilize, the water regeneration circuit is prioritized as the first circuit to be executed. This order determination based on operational status ensures that the discharge operation of the first circuit is performed within the time period with the most reasonable resource load, and that the subsequent circuit, when entering the reset phase after the discharge of the previous circuit, can complete the discharge operation under a stable pressure environment, thereby eliminating the risk of pressure backflow. To ensure the traceability of the determination results, the determined order of the first and subsequent circuits is recorded in the time conflict record in the form of a time index, forming an extended record containing an execution priority field.

[0031] After determining the order of reset execution, the time interval between the first and second executed loops is calculated. The time interval is calculated using the conflict end time in the time conflict record and the discharge start time in the reset status record table as the boundary. The interval between the two loop reset operations is obtained by extracting the time difference between the discharge end time of the first executed loop and the discharge start time of the second executed loop. This interval ensures that the pressure, flow rate, and valve status of the internal piping network can return to a stable state after the discharge of the first loop, thus avoiding the impact of instantaneous pressure disturbances on the subsequent executed loop during the initial discharge phase. To maintain data structure consistency, the calculated interval and the corresponding loop's discharge start time are recorded together in the reset status record table, forming a new discharge schedule. In this way, the original discharge time points in the reset status record table are updated with reset plan data including the interval, providing accurate time scheduling basis for subsequent execution phases.

[0032] The updated emission time points and interval duration data are integrated into the reset status record table to form an updated reset schedule. During the integration process, the conflict interval number in the time conflict record is used as the retrieval index to write the first execution loop, the second execution loop, and the interval duration data corresponding to each conflict into the corresponding record row of the reset status record table. After the update, the time field of the reset status record table not only retains the original emission time information but also adds reset order and interval duration fields, giving the reset operation sequential and buffered characteristics at the time level. The updated reset schedule can directly reflect the reset order and time interval of each loop, thus providing a precise scheduling basis for subsequent execution stages. Through this stage of processing, the emission times of the air purification loop and water regeneration loop change from an overlapping and disordered state to an ordered state with sequential distinction and time buffer. The reset status record table thus becomes a dynamically adjustable reset control data structure, which can support subsequent pressure transition control and dynamic reset execution steps.

[0033] The pressure transition control module performs a reset operation according to the updated reset schedule. It sets a pressure transition time period during the discharge process of the first execution loop, so that the subsequent execution loop is in a waiting state, and records the pressure change data during the pressure transition time period to the reset status record table. After the reset status record table is updated and the reset sequence and time interval of the air purification circuit and water regeneration circuit are determined, in order to ensure a smooth transition of pressure within the chamber during the reset operation and prevent instantaneous pressure backflow due to circuit switching, a pressure transition period is introduced during the discharge process of the first executed circuit, keeping the subsequent executed circuit in a waiting state. The pressure change data during this transition period is then fully recorded in the reset status record table. The entire process unfolds through reset execution initiation, pressure transition setting, waiting state maintenance, and pressure change recording steps, thus forming a pressure stabilization control mechanism during the reset operation. This ensures that the resource circulation process within the ecological chamber maintains a coordinated and consistent fluid dynamic balance during the reset phase. At the start of the reset operation, based on the updated reset schedule, the emission time point and corresponding interval information of the first-executed loop are read from the reset status record table. Using the time field as an index, the emission start time of the first-executed loop is located, and the reset process for that loop is activated. Before emission start, the pressure distribution trend of the main pipeline network within the chamber is calculated based on the pressure and flow values ​​recorded in the reset status record table, thereby determining the pressure baseline value before emission start. This stage ensures that the initial pressure conditions within the chamber are accurately recorded and established as a baseline at the start of the reset. Subsequently, the emission units of the air purification loop or water regeneration loop are controlled to enter the emission state, releasing the gas or liquid in the emission channel under controlled conditions, thus entering the reset execution stage. During this stage, the pressure value at the start of emission is updated in real time in the reset status record table, providing an initial reference for setting the subsequent pressure transition time period.

[0034] During the initial discharge process of the first-execution loop, a pressure transition period is set to avoid pressure fluctuations caused by valve opening adjustments and sudden flow changes in the early stages of discharge. The start of the pressure transition period corresponds to the start time of discharge from the first-execution loop, and the end time corresponds to the time when the pressure inside the chamber returns to a stable state. To maintain the balance of gas-liquid circulation inside the chamber, the first-execution loop maintains a stable flow rate during the pressure transition period, and the pressure change trend of the main pipeline network and branch channels inside the chamber is monitored. By limiting the rate of flow change in the early stages of discharge, the gas or liquid discharge process presents a smooth transition, thereby avoiding sudden pressure back shocks inside the chamber. During this stage, the switching between the air purification loop and the water regeneration loop is temporarily suspended, ensuring that the subsequent execution loop remains in a waiting state until the pressure returns to a stable range and does not participate in the discharge operation, thus preventing the fluid interaction between different loops from disturbing the pressure distribution inside the chamber.

[0035] During the pressure transition period, pressure changes within the chamber are continuously monitored, and pressure values ​​are recorded in real-time to the pressure field of the reset status record table. To ensure the completeness of the records, the time field and pressure field in the reset status record table maintain a one-to-one correspondence, ensuring that each time point corresponds to a specific pressure value. Simultaneously, the valve opening, flow rate changes, and discharge signal status of the preceding loop are recorded synchronously with the pressure data, forming a complete pressure change sequence. During this stage, by continuously recording pressure change data, the dynamic trajectory of pressure changes within the chamber during the discharge process of the preceding loop can be clearly reflected, including the pressure drop phase, pressure buffer phase, and pressure stabilization phase. To facilitate subsequent analysis and judgment, a pressure transition period identifier field is added to the reset status record table to indicate the time range corresponding to the pressure change, enabling the reset status record table to clearly distinguish between the pre-reset state, the discharge process state, and the pressure transition state.

[0036] At the end of the pressure transition period, the reset status record table is updated so that the last pressure data recorded in the table is the stable pressure value at the end of the transition. At this time, the pressure inside the chamber has returned to the baseline range before reset, the fluid flow direction inside the pipeline tends to be unidirectional, and there is no longer a risk of reverse impact on the gas and liquid discharge paths. Subsequently, according to the updated reset schedule, the discharge preparation signal of the subsequent execution loop is activated, creating a stable environment for the next stage of discharge operation. During the update of the record table, the start time, end time, and corresponding pressure change range of the pressure transition period are uniformly written into the table, so that the pressure change data and time information are structurally linked. In this way, the reset status record table not only saves the real-time change data of the pressure transition phase, but also forms a traceable reset process record with time as the main index. In this way, the entire reset execution process forms a clear time hierarchy: the discharge phase of the first execution loop, the pressure transition phase, and the waiting phase of the subsequent execution loop are sequentially connected, ensuring that the pressure distribution of the chamber environment remains stable throughout the entire reset process.

[0037] The dynamic reset execution module determines the end time of the pressure transition period based on the pressure change data recorded in the reset status record table. After the pressure transition period ends, it starts the discharge of the post-execution loop and adds the discharge time period of the post-execution loop discharge process to the reset status record table, thereby forming a continuously updated reset time schedule to achieve the elimination of timing conflicts and pressure stabilization control of the ecological cabin resource recycling system. After the first execution loop completes the discharge operation and records the pressure change data for the pressure transition period in the reset status log, in order to ensure that the subsequent execution loop is started under stable internal pressure conditions, thus avoiding gas-liquid backflow or resource circulation interruption caused by pressure fluctuations, it is necessary to determine the end time of the pressure transition period based on the pressure change trend in the log, and then start the discharge operation of the subsequent execution loop after that time. The entire process includes pressure data analysis, end time determination, subsequent execution loop startup, and reset record update steps. Through continuous tracking of pressure changes and dynamic correction of the reset time, the resource circulation reset process within the ecological chamber forms a continuous, coordinated, and traceable time schedule. After the initial loop discharge operation is completed, the continuous data in the pressure field of the reset status record table is read and organized. Using the time field as an index, all pressure values ​​from the start of the pressure transition period to the current moment are extracted and arranged into a continuous pressure change sequence in chronological order. Each time point corresponds to an actual collected pressure value, synchronized with the corresponding flow rate and valve opening information. By reading this time sequence, the pressure change trend inside the chamber after discharge and before the end of the transition phase can be clearly identified, including the pressure drop phase, the equilibrium recovery phase, and the stabilization phase. To ensure that subsequent steps can accurately pinpoint the pressure recovery moment, the pressure sequence is remapped onto a unified time axis using the time field as an index, giving each pressure change a clear time identifier, thus providing a quantifiable data basis for determining the end time of the pressure transition period. This stage of the operation ensures the integrity and continuity of the pressure change data recorded in the reset status record table, providing sufficient data information for subsequent judgments.

[0038] After obtaining continuous pressure change data, the end time of the pressure transition period is determined based on the pressure change trend recorded in the reset status log table. By comparing the pressure values ​​at each moment in the time series with the baseline pressure value at the end of the discharge of the first executed loop, it is determined whether the chamber pressure has returned to a stable range. When the variation range between the pressure values ​​at multiple consecutive time points and the baseline pressure value remains within the set allowable range, and the duration covers a complete time sampling period, the chamber pressure can be considered to have returned to a stable state. Under this condition, the time index corresponding to that time point is determined as the end time of the pressure transition period. To ensure the consistency of time records, this end time is written into the reset status log table and bound to the corresponding loop name and pressure status. This stage of operation ensures that the reset status log table not only contains data records of the entire pressure change process but also has the function of marking the end time of the pressure transition, providing a clear time trigger basis for the start of the subsequent executed loop.

[0039] After determining the end time of the pressure transition period, the discharge operation of the subsequent execution loop is initiated according to the updated reset schedule. Starting from the end time recorded in the reset status record table, the discharge unit of the subsequent execution loop is activated, putting it into discharge operation mode. During the discharge initiation phase, the pressure state of the main pipeline network within the chamber has returned to a stable range, thus allowing fluid discharge from the subsequent execution loop to occur in a stable fluid environment, avoiding instantaneous shocks caused by pressure differences. As the discharge process proceeds, the gas or liquid in the subsequent execution loop flows in a single direction, and the opening of the discharge valve is adjusted according to a preset time sequence to maintain the coordination between pressure and flow rate within the chamber. During this process, the start time of discharge in the subsequent execution loop, pressure value, flow rate value, and valve opening status are continuously recorded in the reset status record table, indexed by the time field. In this way, the discharge operation of the subsequent execution loop is seamlessly connected to the previous stage of the pressure transition process in the time dimension, ensuring continuity in the execution of the reset process.

[0040] After the discharge operation of the subsequent execution loop is completed, the discharge time period of this discharge process is added to the reset status record table to form a continuously updated reset time schedule. When adding data, the start time, end time, and duration of the subsequent execution loop discharge are entered into the corresponding fields of the reset status record table, starting from the end time of the pressure transition period. Simultaneously, the pressure change data, flow data, and valve opening information of the subsequent execution loop during the discharge process are updated to the record table, ensuring that the reset status record table fully reflects the entire operation process of the subsequent execution loop. After the update, the reset status record table contains a complete time series and operational data from the initial execution loop discharge, the pressure transition period, and the subsequent execution loop discharge, thus forming a continuous, closed-loop reset time schedule. Through this stage of updating, the reset status record table has dynamic adjustment capabilities, allowing it to continue recording the time schedule of a new round of reset operations in subsequent cycles, ensuring that the reset control of the ecological cabin resource recycling process remains continuously controllable.

[0041] This invention introduces a dynamic control mechanism based on time and state data during the resource recycling process in the eco-cabin, achieving timing coordination and conflict elimination for multi-loop reset operations. Through the synergistic effect of the state data acquisition module and the timing conflict detection module, the emission times of the air purification loop and the water regeneration loop are differentiated and rationally sequenced, avoiding control phase overlap caused by simultaneous triggering of emission operations. This ensures a continuous execution rhythm for the multi-loop control process. This method effectively prevents overlap and misalignment of emission commands during the execution phase, improving the stability and execution accuracy of resource recycling control within the eco-cabin.

[0042] This invention achieves dynamic pressure balance control during the reset process through the cooperation of a pressure transition control module and a dynamic reset execution module. By setting a pressure transition period during the discharge process of the first execution loop and activating the second execution loop after the pressure stabilizes, the pressure distribution in the gas-liquid channels within the chamber remains continuously balanced, preventing backlash and equipment impact caused by sudden changes in flow direction. This method ensures the pressure stability and component safety of the ecological chamber's piping network during reset, improving the reliability and long-term operational adaptability of the overall resource recycling process.

[0043] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A deep learning-based intelligent control system for resource recycling within an ecological cabin, characterized in that, It includes a status data acquisition module, a timing conflict detection module, a reset sequence scheduling module, a pressure transition control module, and a dynamic reset execution module. The status data acquisition module collects the pressure values, flow values, valve openings, discharge preparation signals, and corresponding time records of the ecological cabin resource recycling system before reset, forming a reset status record table. The timing conflict detection module divides the emission time periods of the air purification circuit and the water regeneration circuit into their respective emission time periods according to the emission time points of the air purification circuit and the water regeneration circuit in the reset status record table. It compares whether the emission time periods of the two circuits overlap. If there is an overlap, a timing conflict record is generated, and the specific time and location of the conflict are marked in the timing conflict record. The reset sequence scheduling module determines the order of resetting the air purification circuit and the water regeneration circuit based on the time conflict record, calculates the interval between the circuits executed first and the circuits executed later, and updates the interval and the new emission time point to the reset status record table to form an updated reset arrangement. The pressure transition control module performs a reset operation according to the updated reset schedule. It sets a pressure transition time period during the discharge process of the first execution loop, so that the subsequent execution loop is in a waiting state, and records the pressure change data during the pressure transition time period to the reset status record table. The dynamic reset execution module determines the end time of the pressure transition period based on the pressure change data recorded in the reset status record table. After the pressure transition period ends, it starts the discharge of the subsequent execution loop and adds the discharge time period of the subsequent execution loop discharge process to the reset status record table, thereby forming a continuously updated reset time schedule.

2. The intelligent control system for resource recycling within the ecological cabin based on deep learning as described in claim 1, characterized in that, The process of forming the reset status record table is as follows: The status data acquisition module collects pressure values, flow values, valve opening, discharge preparation signals, and corresponding time records of the ecological cabin resource recycling system during the operation phase before reset, and records the collected operating parameters according to the time index. The status data acquisition module merges the obtained pressure values, flow values, valve opening degree and discharge preparation signals in chronological order, integrates the operating parameters of different loops at the same time point into a unified record data row, and establishes the correspondence between the parameters. The status data acquisition module extracts the emission preparation signals contained in the merged operation data, extracts the emission time points of the air purification circuit and water regeneration circuit, and binds each time point with the corresponding pressure value, flow value, and valve opening to form a time identifier set; The status data acquisition module generates a reset status record table from the organized and labeled operating data. The reset status record table uses the time field as the index field and records pressure data, flow data, valve opening degree and discharge preparation signal fields, and marks the discharge time points of the air purification circuit and water regeneration circuit.

3. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 2, characterized in that, When generating the reset status record table, the emission time points of the air purification circuit and the water regeneration circuit are distinguished by different identifiers, and a one-to-one correspondence is established in the time field. At the same time, the pressure value, flow rate value and valve opening are recorded synchronously according to the time index, thus forming the reset status record table.

4. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 2, characterized in that, The steps to mark the specific time and location of a conflict in a time conflict log are as follows: Using the time record field in the reset status record table as an index, the continuous operation data before and after the emission preparation signal activation is extracted from the emission time point of the air purification circuit and the water regeneration circuit, and the emission start time and end time of each circuit are determined to form the emission time interval. The timing conflict detection module maps the emission time intervals of the air purification circuit and the water regeneration circuit onto a unified time axis, and compares the emission start time with the emission end time of the other circuit to determine whether there is an overlap between the two time intervals and the record of the overlapping time interval. The timing conflict detection module generates a timing conflict record based on the time index of the reset status record table, records the conflict time location and the running status parameters of the two loops, and assigns an independent number to each time overlap interval. The timing conflict detection module fills the start and end times of the timing conflict records back into the corresponding time row of the reset status record table, forming a label field to identify the conflict status and generate a unified emission time mapping table.

5. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 4, characterized in that, When generating time conflict records, the pressure values, flow values, and valve openings of the air purification circuit and the water regeneration circuit within the time overlap period are recorded synchronously, and the duration of the conflict is written into the time conflict record, so that the time conflict record has both time information and operating parameter information.

6. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 4, characterized in that, The updated reset arrangement was developed as follows: The conflict time intervals are sorted sequentially based on the start time field in the time conflict record, and the operating status parameters of the air purification circuit and water regeneration circuit are extracted to determine the operating load and resource consumption. The reset sequence scheduling module determines the order of resetting the air purification circuit and the water regeneration circuit by combining the operating status parameters within the conflict interval, and records the determined order of the first and last circuits to be executed in the time conflict record in the form of a time index. The reset sequence scheduling module calculates the interval between the first and second execution loops based on the conflict end time in the time conflict record and the emission start time in the reset status record table, and records the interval and the corresponding emission start time in the reset status record table. The reset sequence scheduling module uses the conflict interval number in the time conflict record as the retrieval index to integrate the data of the first execution loop, the second execution loop, and the interval duration into the reply bit status record table to generate an updated reset arrangement.

7. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 6, characterized in that, When calculating the interval between the first and second execution loops, the pressure, flow rate, and valve opening changes in the internal pipeline network are used as reference conditions. By matching the difference between the discharge end time and the start time, the interval is made consistent with the time period during which the internal pressure recovers to a stable state.

8. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 6, characterized in that, The steps to record pressure change data during the pressure transition period to the reset status record table are as follows: According to the updated reset schedule, the emission time point and interval information of the first-execution loop are read from the reset status record table, and the emission start time is located by indexing the time field. The pressure reference value before the emission starts is determined and the reset process is started. The pressure transition control module sets a pressure transition time period during the discharge process of the first execution loop. The start point of the pressure transition time period is the discharge start time, and the end point is the time when the pressure inside the chamber recovers to a stable state. During the pressure transition time period, a stable flow rate is maintained for the discharge operation, while the subsequent execution loop remains in a waiting state. The pressure transition control module continuously monitors the pressure changes in the chamber during the pressure transition period and records the pressure values, valve openings, flow changes, and discharge signal status in the reset status record table to form a pressure change sequence. The pressure transition control module updates the reset status record table at the end of the pressure transition period, writing the start time, end time and pressure change range into the table, and forming a time hierarchy relationship between the first execution loop discharge stage, the pressure transition stage and the subsequent execution loop waiting stage.

9. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 8, characterized in that, During the pressure transition period, the pressure change data inside the chamber is continuously recorded using the time field as an index, and the pressure value at each time point is stored synchronously with the corresponding flow value, valve opening degree and discharge signal status to form a time-series pressure change record.

10. The intelligent control system for resource recycling within the ecological cabin based on deep learning according to claim 8, characterized in that, The steps for determining the end time of the pressure transition period based on the pressure change data in the reset status record table, initiating the subsequent execution loop discharge at the end of the pressure transition period, and adding the subsequent execution loop discharge period to the reset status record table are as follows: The dynamic reset execution module reads the pressure field data from the reset status record table after the first loop discharge operation ends, and extracts the continuous pressure values ​​during the pressure transition period using the time field as the index, forming a complete pressure change sequence. The dynamic reset execution module compares the pressure values ​​at each moment with the reference pressure value at the end of the discharge based on the pressure change trend in the reset status record table, determines the time index for the chamber pressure to return to a stable state, and records the end time in the reset status record table. The dynamic reset execution module activates the discharge unit of the subsequent execution loop based on the end time recorded in the reset status record table, and records the discharge start time, pressure value, flow rate value and valve opening status of the subsequent execution loop using the time field as an index. The dynamic reset execution module adds the discharge time period data to the reset status record table when the discharge operation of the subsequent execution loop is completed, and synchronously updates the pressure change data, flow data and valve opening information of the subsequent execution loop to form a continuously updated reset time schedule.

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