Organic fertilizer fermentation waste heat self-consistent energy supply intelligent system and collaborative control method

Abstract

The application discloses an organic fertilizer fermentation residual heat self-consistent energy supply intelligent system and a collaborative control method. The system comprises a double-cavity fermentation module, a heat supply loop module, a data acquisition module and a collaborative control module. The inner cavity of the double-cavity fermentation module is used for accommodating an organic fermentation substrate and is integrated with a heat exchange water pipe array; the data acquisition module is arranged on the double-cavity fermentation module to acquire fermentation environment parameters of the inner cavity; the heat supply loop module is connected to the heat exchange water pipe array to output biological heat energy captured by the heat exchange water pipe array; and the collaborative control module is in communication connection with the modules to generate control instructions based on the fermentation environment parameters, so that the fermentation process and the heat energy extraction process are collaboratively adjusted. The method realizes intelligent control of the system. The application can efficiently recover biological residual heat generated in the organic fertilizer fermentation process and directly use the biological residual heat for energy supply, thereby guaranteeing the fermentation quality of the fertilizer, building an autonomous energy supply system without external energy, improving resource utilization and reducing energy consumption.

Description

Technical Field

[0001] This invention relates to the field of agricultural waste resource utilization technology, and in particular to an intelligent system and collaborative control method for self-consistent energy supply from waste heat during organic fertilizer fermentation. Background Technology

[0002] Aerobic fermentation technology for organic fertilizer is an important way to realize the resource utilization of agricultural waste, and it generates a large amount of biomass waste heat during the decomposition process. In existing technologies, most common organic fertilizer fermentation devices adopt a single-chamber structure, maintaining the fermentation process through forced ventilation and mechanical stirring. Some technical solutions also attempt to recover the heat generated during fermentation, such as by installing simple heat exchange devices on the outside of the fermentation tank or in the ventilation ducts, in order to use this heat energy for purposes such as material preheating or low-temperature drying. At the same time, with the development of automation technology, some systems have begun to introduce temperature and humidity sensors and independent control units, aiming to make basic adjustments to fermentation conditions (such as ventilation frequency) or heating switches. This constitutes the basic landscape of current technological development in this field.

[0003] However, the aforementioned existing technologies have significant shortcomings in terms of efficient heat energy utilization and synergistic optimization of fermentation processes. First, structurally, the combination of a single-chamber fermentation device and an external heat exchanger often results in low heat exchange efficiency and significant heat loss. Furthermore, the external heat exchange equipment increases system complexity and cost. More importantly, the control strategies of existing systems typically treat fermentation process management and heat energy recovery as two independent or simply sequential processes, lacking in-depth synergistic optimization. For example, excessively increasing ventilation or cooling in pursuit of high heat output can disrupt the optimal temperature and humidity environment required by microorganisms, leading to incomplete fermentation and insufficient decomposition. Conversely, if the sole objective is to ensure fermentation effectiveness, it is difficult to maximize the capture and on-demand supply of excess heat. This fragmented control model of "emphasizing heating over fermentation" or "emphasizing fermentation over heating" prevents the system from achieving stable and efficient self-consistent utilization of biological waste heat while ensuring the quality of organic fertilizer products, thus restricting its economic and environmental value for large-scale application.

[0004] Therefore, in the context of promoting green agricultural development and energy self-sufficiency, the industry urgently needs an innovative solution. Summary of the Invention

[0005] To improve existing methods and systems, a self-sufficient intelligent system for energy supply from waste heat during organic fertilizer fermentation and a collaborative control method are provided. The specific technical solution is as follows: In a first aspect, this application provides an intelligent system for self-sufficient energy supply from waste heat during organic fertilizer fermentation, comprising: The dual-chamber fermentation module includes an inner cavity for containing the organic fermentation substrate and an outer cavity fitted outside the inner cavity. The inner cavity is integrated with an array of hot water exchange pipes. The heating circuit module is connected to the outlet and inlet of the hot water exchange tube array and is configured to output the biological heat energy captured by the hot water exchange tube array. The data acquisition module is located in the dual-chamber fermentation module and is configured to collect fermentation environment parameters of the inner chamber. The collaborative control module is connected to the data acquisition module, the dual-chamber fermentation module, and the heating circuit module. The collaborative control module is configured to generate control commands based on fermentation environment parameters to coordinate the fermentation process and the heat extraction process.

[0006] In some embodiments, the collaborative control module includes a fermentation stage identification unit and a dynamic matching and regulation unit; The fermentation stage identification unit is configured to identify the current fermentation stage based on fermentation environment parameters; The dynamic matching and control unit is configured to dynamically match and output control commands according to the fermentation stage. The control commands are used to adjust the ventilation volume, stirring frequency and the flow rate of the hot water flowing through the hot water exchanger array.

[0007] In some embodiments, the fermentation stage includes a heating stage, a high-temperature maintenance stage, and a cooling and maturation stage; the fermentation stage identification unit is configured to determine the fermentation stage based on the temperature of the inner cavity and the duration of temperature change.

[0008] In some embodiments, the dynamic matching control unit is configured as follows: During the heating phase, control the flow rate of the hot water exchanger and increase the ventilation volume; During the high-temperature maintenance phase, control the increase of hot water exchange flow rate and maintain the ventilation volume within the preset range; During the cooling and composting stage, reduce ventilation and stop stirring.

[0009] In some embodiments, the hot water exchange pipe array is spirally coiled in the inner cavity.

[0010] In some embodiments, the collaborative control module is configured to collaboratively regulate the fermentation process and the heat extraction process by adjusting the ventilation volume, stirring frequency, and hot water flow rate.

[0011] In some embodiments, the heating circuit module includes a domestic hot water branch and a heating circulation branch, which are connected in parallel or in series to the hot water exchange pipe array 111.

[0012] Secondly, this application provides a synergistic control method for self-consistent energy supply from waste heat during organic fertilizer fermentation, implemented in any of the above embodiments, comprising: S1: Collect fermentation environment parameters inside the dual-chamber fermentation module; S2: Based on fermentation environment parameters, generate control commands for synergistically regulating the fermentation process and the heat extraction process; S3: Send control commands to the dual-chamber fermentation module and the heating circuit module to adjust at least one of the ventilation volume, stirring frequency and hot water flow rate.

[0013] In some embodiments, based on fermentation environment parameters, control instructions are generated for synergistically regulating the fermentation process and the heat extraction process, including: Determine the fermentation stage of the organic fermentation substrate in the dual-chamber fermentation module based on fermentation environment parameters; Based on the fermentation stage, dynamically match the target control parameter set corresponding to the fermentation stage. The target control parameter set includes at least the target ventilation volume, target stirring frequency, and target hot water flow rate. Control commands are generated based on the target control parameter set.

[0014] In some embodiments, according to the fermentation stage, dynamically matching the target control parameter set corresponding to the fermentation stage includes: If the fermentation stage is a heating stage, then the first target hot water exchange flow rate and the first target ventilation volume are matched, wherein the first target hot water exchange flow rate is lower than the preset average flow rate. If the fermentation stage is a high-temperature maintenance stage, then the second target hot water exchange flow rate and the second target ventilation volume are matched, wherein the second target hot water exchange flow rate is higher than the preset average flow rate. If the fermentation stage is a cooling and maturation stage, then the third target ventilation volume should be matched and stirring should be stopped, wherein the third target ventilation volume is lower than the first target ventilation volume.

[0015] This application provides a self-sufficient intelligent energy supply system for waste heat from organic fertilizer fermentation. It directly captures fermentation bioheat through a dual-chamber fermentation module integrated with a spiral hot water exchanger array. A collaborative control module dynamically adjusts ventilation, stirring, and hot water flow rate based on real-time collected fermentation environmental parameters, thereby synergistically optimizing the fermentation process and heat extraction. This solution ultimately enables the direct supply of domestic hot water and heating from fermentation waste heat without external power. Its beneficial effects lie in its improved heat exchange efficiency through an integrated dual-chamber design and spiral flow channel, and in resolving the conflict between heat recovery and fermentation processes. While ensuring the quality of organic fertilizer composting, it constructs a complete self-sufficient energy closed loop of "fermentation-heat extraction-heat supply," significantly improving the resource and energy utilization level of agricultural waste. Attached Figure Description

[0016] Figure 1 This is a system architecture diagram of the intelligent system for self-consistent energy supply from waste heat during organic fertilizer fermentation proposed in this invention. Figure 2This is a flowchart of the synergistic control method for self-consistent energy supply from waste heat during organic fertilizer fermentation, as proposed in this invention.

[0017] In the diagram: 1. Dual-chamber fermentation module; 2. Heating circuit module; 3. Data acquisition module; 4. Collaborative control module; 11. Inner chamber; 12. Outer chamber; 111. Hot water exchange pipe array. Detailed Implementation

[0018] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0019] Firstly, this application provides an intelligent system for self-sufficient energy supply from waste heat during organic fertilizer fermentation, such as... Figure 1 As shown, it includes: The dual-chamber fermentation module 1 includes an inner cavity 11 for containing organic fermentation substrate and an outer cavity 12 sleeved outside the inner cavity 11. A hot water exchange pipe array 111 is integrated inside the inner cavity 11. Heating circuit module 2 is connected to the outlet and inlet of the hot water exchange tube array 111 and is configured to output the biological heat energy captured by the hot water exchange tube array 111. Data acquisition module 3 is located in the dual-chamber fermentation module 1 and is configured to collect fermentation environment parameters of the inner chamber 11; The collaborative control module 4 is communicatively connected to the data acquisition module 3, the dual-chamber fermentation module 1, and the heating circuit module 2. The collaborative control module 4 is configured to generate control commands based on fermentation environment parameters to coordinate the fermentation process and the heat extraction process.

[0020] This embodiment provides a specific implementation of an intelligent system for self-sufficient energy supply from waste heat generated during organic fertilizer fermentation. The system aims to efficiently recover and utilize the large amount of biomass waste heat generated during the aerobic fermentation of organic fertilizer, constructing a self-sufficient energy supply closed loop that does not rely on external electricity or fuel. Its core lies in resolving the contradiction between the difficulty in coordinating heat recovery and fermentation process optimization in traditional technologies through unique structural design and intelligent control strategies.

[0021] The physical basis of the system is the dual-chamber fermentation module 1. The inner chamber 11 of this module is made of corrosion-resistant and heat-insulating material, used to directly contain and process organic fermentation substrates, such as a mixture of livestock manure and straw. Its innovation lies in the pre-coiling and integration of a set of heat exchanger pipe array 111, made of a metal tube with excellent thermal conductivity (such as stainless steel), into the inner chamber 11 before material filling. This set of pipes is uniformly arranged in a tight spiral to maximize the contact area with the fermentation material, thus directly and efficiently capturing the bioheat released by the fermentation reaction without the need for an additional external heat exchanger. The outer chamber 12, surrounding the inner chamber 11, mainly serves as a protective and wiring structural layer, providing neat wiring space for auxiliary facilities such as sensor lines and ventilation ducts, and enhancing the mechanical strength and heat insulation performance of the entire fermentation chamber.

[0022] Directly connected to the hot water exchange pipe array 111 is the heating circuit module 2. This module consists of a closed circulating water circuit filled with an antifreeze heat exchange medium. Driven by a circulating water pump, the circulating water is heated as it flows through the hot water exchange pipe array 111 in the inner cavity 11, and then the carried heat energy is transported to the external hot water storage tank or directly supplied to the heating radiators. This module essentially constructs an independent heat extraction and transportation channel, ensuring that the captured heat can be effectively exported and applied to practical living or production scenarios, such as heating domestic water or providing heating for greenhouses.

[0023] To achieve precise sensing of the fermentation and heat extraction processes, the system is equipped with a data acquisition module 3. The core of this module consists of multiple sensors deployed at key locations within the dual-chamber fermentation module 1, including puncture-type temperature sensors penetrating deep into the material, gas sensors monitoring the oxygen content of the pile, and sensors measuring ambient humidity. These sensors operate continuously, converting real-time temperature, oxygen concentration, humidity, and other key fermentation environmental parameters within the inner chamber 11 into electrical signals, providing a data foundation for subsequent intelligent decision-making.

[0024] The intelligent hub of the entire system is the collaborative control module 4, typically implemented by an industrial controller (PLC) or embedded computer. This module establishes communication connections with the data acquisition module 3, the actuators (such as the variable frequency fan, stirring motor, and speed controller of the circulating water pump) in the dual-chamber fermentation module 1, and the valves in the heating circuit module 2 via data cables. Its core control logic lies in receiving and analyzing the fermentation environment parameters uploaded by the data acquisition module 3 in real time, and generating dynamic control commands based on a preset optimization algorithm. For example, when fermentation is detected to have entered a high-temperature, oxygen-consuming stage, the controller will simultaneously increase the speed of the ventilation fan to supply sufficient oxygen, and appropriately increase the power of the circulating water pump to increase the flow rate of the hot water exchange, thereby maximizing the heat recovery rate while maintaining fermentation activity; conversely, during the fermentation cooling period, ventilation and stirring will be reduced, and the heat extraction intensity will be decreased to facilitate fertilizer decomposition. This adjustment achieves the linkage control of multiple key parameters such as ventilation volume, stirring frequency, and hot water exchange flow rate, essentially achieving a dynamic balance between the "microbial demand of the fermentation process" and the "rate of heat extraction".

[0025] This embodiment achieves efficient in-situ heat capture through the innovative structure of the dual-chamber fermentation module 1 and the integrated hot water exchanger array 111; it constructs an independent heat output channel through the heating loop module 2; it realizes digital process perception through the data acquisition module 3; and finally, through the intelligent algorithm of the collaborative control module 4, the above hardware is organically connected to form an autonomous system integrating perception, decision-making, and execution. The derivation of its beneficial effects is direct and coherent: the unique structural design physically improves heat exchange efficiency and reduces heat loss; the intelligent collaborative control strategy ensures the stability of fertilizer quality and maximizes waste heat recovery. The combination of these two aspects ultimately transforms the organic fertilizer production process from a purely energy-consuming stage into a production-capable stage capable of outputting high-quality fertilizer and clean heat energy, truly achieving the dual goals of "self-sufficient energy supply" and waste resource utilization.

[0026] In some embodiments, the collaborative control module 4 includes a fermentation stage identification unit and a dynamic matching and control unit; The fermentation stage identification unit is configured to identify the current fermentation stage based on fermentation environment parameters; The dynamic matching and control unit is configured to dynamically match and output control commands according to the fermentation stage. The control commands are used to adjust the ventilation volume, stirring frequency and the flow rate of the hot water flowing through the hot water exchanger array 111.

[0027] This embodiment further details the specific implementation of the collaborative control module 4 in the intelligent system for self-consistent energy supply from waste heat during organic fertilizer fermentation. As the intelligent hub of the entire system, the collaborative control module 4 consists of two core logical units: a fermentation stage identification unit and a dynamic matching and control unit. These two units are typically implemented using software algorithms in a programmable logic controller (PLC) or industrial computer. They work together to transform the raw environmental parameter data from the data acquisition module 3 into precise control commands for the dual-chamber fermentation module 1 and the heating circuit module 2.

[0028] The fermentation stage identification unit is the starting point of the entire control logic. It continuously receives real-time data uploaded by the data acquisition module 3, mainly the temperature, oxygen concentration, and humidity parameters in the inner cavity 11. This unit has a preset judgment model based on fermentation process knowledge. For example, after the system initializes and feeds materials, this unit continuously monitors temperature changes. If the temperature rises continuously from the ambient temperature to above 50 degrees Celsius within 24 hours, and the oxygen concentration drops rapidly due to active microbial consumption, the unit will determine that the fermentation process has entered the "heating stage". Subsequently, when the temperature stabilizes at a high-temperature plateau of 55-65 degrees Celsius for more than 3 days, and the humidity is maintained within a certain range, it is determined to have entered the "high-temperature maintenance stage". Finally, when the temperature begins to show a stable downward trend and falls back to around 40 degrees Celsius, it indicates that the "cooling and ripening stage" has begun. This dynamic identification based on multi-parameter thresholds and duration replaces the traditional single time or temperature control, enabling the system to perceive the true biological state of fermentation.

[0029] Based on accurate identification of the fermentation stage, the dynamic matching control unit begins to execute its core strategy. This unit internally stores a control parameter mapping table that matches the optimal process objectives for each fermentation stage. Upon receiving the current stage signal from the identification unit, it immediately retrieves the preset parameter set from the mapping table and generates corresponding combined control commands, which are then synchronously sent to each actuator. Specifically, its control strategy can be illustrated by the following example: During the identified heating stage, the control unit outputs a command to moderately reduce the power of the circulating water pump to decrease the water flow velocity through the hot water exchanger array 111. This aims to reduce the extraction of initial heat from the fermentation pile, ensuring the microbial community can rapidly multiply to reach the required high temperature. Simultaneously, it commands the variable frequency fan to increase its speed to increase ventilation and provide sufficient oxygen for the vigorous aerobic fermentation process. When entering the high-temperature maintenance stage, the unit's strategy shifts to efficient heat recovery. It commands the pump power to increase to maximize hot water production while maintaining ventilation within an optimized range that ensures oxygen supply without excessively cooling the pile. In the final cooling and composting stage, the unit will significantly reduce the ventilation or even completely shut down the stirring mechanism to create a stable, low-speed biochemical environment suitable for the composting reaction. At this time, the flow rate of the hot water exchange can also be gradually reduced as the temperature decreases until fermentation is complete.

[0030] This phase-based dynamic matching control has yielded significant benefits. Its core advantage lies in its ability to fundamentally coordinate the inherently competitive processes of "fermentation" and "heat extraction" through an integrated intelligent decision-making system. Traditional systems often face a dilemma: focusing solely on heat extraction can cool the compost pile and lead to fermentation failure; conversely, prioritizing fermentation can fail to fully utilize residual heat. The control method in this embodiment achieves a dynamic balance between these two objectives. When fermentation requires heat (heating phase), the system prioritizes fermentation; when heat is abundant (high-temperature phase), the system maximizes heat recovery; and at the end of fermentation, the system prioritizes fertilizer quality. This intelligent coordination ensures that while producing fully decomposed, high-quality organic fertilizer, the bio-thermal energy contained within it is recovered almost without cost. From the perspective of effect derivation, it is this control logic that enables the hardware potential of the dual-chamber fermentation module 1 and the integrated hot water exchanger array 111 to be fully utilized, and also makes the heat energy output by the heating circuit module 2 stable and controllable. Ultimately, it transforms a traditional energy-consuming process into a "carbon-negative" production process that simultaneously outputs products and energy, achieving a dual improvement in resource efficiency and economic benefits.

[0031] In some embodiments, the fermentation stage includes a heating stage, a high-temperature maintenance stage, and a cooling and maturation stage; the fermentation stage identification unit is configured to determine the fermentation stage based on the temperature of the inner cavity 11 and the duration of temperature change.

[0032] This embodiment details the specific technical implementation method used to determine the fermentation stage in the intelligent system for self-consistent energy supply of waste heat from organic fertilizer fermentation. The fermentation stage identification unit, as a core component of the collaborative control module 4, automatically and accurately divides the continuous fermentation process into three key periods with different technological characteristics: the "heating stage," the "high-temperature maintenance stage," and the "cooling and maturation stage," based on quantifiable objective parameters. This lays the decision-making foundation for subsequent dynamic regulation. The core basis for its determination is the temperature of the inner cavity 11 and the duration of this temperature change. This is a key method for transforming a biological process into measurable and controllable engineering parameters.

[0033] In practical implementation, this identification unit can be implemented by pre-setting a judgment algorithm in the controller (such as a PLC or embedded microprocessor). The algorithm is usually based on a logical combination of temperature thresholds and time windows. For example, a feasible implementation method is as follows: after the system starts, the identification unit begins to continuously monitor the center temperature of the inner cavity 11. When the temperature rises continuously from the ambient temperature and reaches and stabilizes above 50 degrees Celsius within 24 hours, the unit determines that fermentation has entered the "heating stage". Subsequently, when the temperature rises further and stabilizes in the range of 55 to 65 degrees Celsius, and is maintained at this high temperature platform for more than 72 hours, the unit determines that it has entered the "high temperature maintenance stage". Finally, when the sensor detects that the temperature starts to decline steadily from the peak and continues to drop below 50 degrees Celsius, the identification unit determines that fermentation has entered the "cooling and ripening stage". Another more refined implementation may also introduce the auxiliary judgment of the temperature change rate. For example, in the later stage of the high temperature maintenance stage, if the temperature drop rate exceeds 0.5 degrees Celsius per hour for 12 consecutive hours, it can be used as an early signal that it is about to enter the cooling and ripening stage, triggering the preparatory adjustment of the control strategy in advance. In the IoT architecture, this decision logic can also be deployed on an edge computing gateway or cloud platform. By receiving wireless sensor data from the data acquisition module 3, it performs more complex model calculations (such as pattern matching by combining historical fermentation curves) and then sends the decision results to the on-site control execution unit.

[0034] This method of determining the fermentation stage based on the temperature of the internal cavity 11 and the duration of temperature changes brings direct and significant benefits. Its fundamental value lies in replacing the subjective and vague judgments of traditional production, which rely on manual experience and observation (such as feeling or rough temperature measurement), with objective and consistent quantitative standards, thus achieving the digitalization and standardization of fermentation process management. This provides precise and reliable timing anchors for all subsequent dynamic matching and control unit optimization strategies. For example, only after accurately identifying the "high-temperature maintenance stage" will the system maximize the flow rate of the hot water exchange to achieve maximum heat recovery, thereby avoiding the drawback of prematurely and excessively extracting heat during the heating period, which inhibits fermentation. Similarly, accurately judging the arrival of the "cooling and ripening stage" allows for timely execution of operations that promote fertilizer ripening, such as reducing ventilation and stopping stirring. Therefore, this judgment mechanism is the technical prerequisite for the entire system to achieve the core goal of "efficiently recovering waste heat while ensuring fermentation quality". It ensures that the biological laws of fermentation become the guiding principle of the heat energy extraction process, thereby fundamentally coordinating the two processes and improving the overall efficiency, stability and comprehensive benefits of the final output of the entire system (i.e., the reliable output of high-quality fertilizer and surplus heat energy).

[0035] In some embodiments, the dynamic matching control unit is configured as follows: During the heating phase, control the flow rate of the hot water exchanger and increase the ventilation volume; During the high-temperature maintenance phase, control the increase of hot water exchange flow rate and maintain the ventilation volume within the preset range; During the cooling and composting stage, reduce ventilation and stop stirring.

[0036] Based on the aforementioned claims, this embodiment specifically illustrates the core control logic executed by the dynamic matching control unit at different fermentation stages. This unit, acting as the "execution decision-maker" in the collaborative control module 4, transforms the stage-specific conclusions derived by the fermentation stage identification unit into precise and differentiated control commands for on-site execution equipment such as circulating water pumps, variable frequency fans, and stirring motors. Its implementation relies on a pre-set control parameter mapping table or control rule set within the unit, bound to the process objectives of each fermentation stage. For example, in specific programming implementation, when the identification unit determines that the system has entered the "heating stage," the dynamic matching control unit sends a command to the variable frequency drive of the circulating water pump to set the water flow rate to a lower level (e.g., 30% of the rated flow rate), and simultaneously sends a command to the variable frequency fan of the ventilation system to increase the air volume to a higher level (e.g., 80% of the rated air volume). The underlying principle is that during the heating period, microorganisms need to accumulate heat for rapid proliferation. Reducing the water flow rate minimizes the premature removal of heat, while increasing the ventilation volume provides sufficient oxygen for vigorous aerobic fermentation. The synergy of these two measures prioritizes ensuring rapid fermentation startup and reaching high temperatures.

[0037] When the system enters the "high-temperature maintenance stage," the control strategy of this unit immediately switches. It instructs the circulating water pump to increase its power, raising the flow rate of the hot water exchange to a high level (e.g., above 90% of the rated flow rate) to maximize the extraction of waste heat from the organisms. Simultaneously, the ventilation volume is precisely maintained within an optimized preset range (e.g., 60%-70% of the rated airflow). This preset range is a balance value; its lower limit ensures that the center of the compost pile does not transition to anaerobic fermentation due to lack of oxygen, while its upper limit prevents excessive cold air from causing a sudden drop in pile temperature. The control objective at this stage is to maximize heat recovery efficiency while maintaining the activity of the core fermentation microorganisms. Upon entering the "cooling and maturation stage," the control unit's strategy shifts again. It significantly reduces the ventilation volume (e.g., to 20% of the rated airflow) to reduce heat dissipation and moisture evaporation from the compost pile, creating a stable and mild post-maturation environment. Simultaneously, it issues a "stop" command to the controller of the stirring mechanism to prevent mechanical agitation from damaging the formed humus and mycelium, thereby ensuring and improving the final maturity and quality of the organic fertilizer.

[0038] This dynamic control strategy, deeply coupled with the fermentation stage, brings multiple significant benefits. Its most fundamental advantage lies in its precise timing control, systematically resolving the inherent contradiction between fermentation process optimization and heat recovery, achieving synergy rather than compromise between the two. During the heating phase, the strategy of "suppressing water flow and increasing oxygen" creates optimal reproductive conditions for microorganisms, ensuring a rapid and thorough start to the fermentation process—the foundation for obtaining high-quality, fully decomposed fertilizer. During the high-temperature maintenance phase, the strategy of "increasing water flow and stabilizing ventilation" efficiently converts excess heat into usable hot water, significantly improving the system's energy output efficiency while ensuring fermentation does not suffocate or cool down. During the cooling and decomposition phase, the strategy of "reducing ventilation and stopping stirring" ensures stable decomposition of the fertilizer in the later stages, enhancing product value. Therefore, the benefits of this control strategy are consistent throughout: it not only ensures the complete and efficient transformation from raw materials to high-quality organic fertilizer but also simultaneously maximizes the recovery rate of biological waste heat. This transforms the entire system from a potentially mutually restrictive binary combination into a harmonious and symbiotic organic whole, ultimately producing two stable products—high-quality organic fertilizer and directly usable thermal energy—achieving a balance between environmental and resource benefits.

[0039] In some embodiments, the hot water exchange pipe array 111 is spirally coiled in the inner cavity 11.

[0040] This embodiment specifically illustrates the implementation method and design intent of the structural feature of the spirally coiled heat exchanger tube array 111 arranged in the inner cavity 11 as described in the claims in actual engineering. This design is the core physical structure for achieving efficient and direct heat exchange in the dual-cavity fermentation module 1. In practical implementation, when constructing or assembling the fermentation inner cavity 11, construction personnel will pre-coil and fix a long-distance metal pipe (usually a corrosion-resistant and thermally conductive stainless steel or copper pipe) tightly and regularly to the side wall and bottom frame of the fermentation inner cavity 11 according to the set pitch and diameter, thereby forming a large spiral coiled heat exchanger immersed in the fermentation material. For example, a common practice is to start coiling from the bottom center of the inner cavity 11, like a spring, layer by layer upwards until approaching the top of the inner cavity 11, ensuring that the heat exchanger tubes are evenly distributed throughout the entire material accumulation space. Another implementation method is to prefabricate multiple sets of independent spiral coiled modules, and install these modules side by side or layer by layer in the inner cavity 11 during construction, which facilitates large-scale production and maintenance. Regardless of the specific form used, the core objective is to maximize the contact area between the pipe and the organic fermentation substrate.

[0041] This spiral arrangement brings several significant benefits. First and foremost, it greatly improves heat exchange efficiency. Compared to simple straight or U-shaped tube arrangements, spiral tubes offer a longer pipe length and a larger heat exchange surface area within the same volume, allowing the bio-thermal energy generated during fermentation to be captured and carried away more fully and quickly by the circulating water flowing through the pipes. Second, the spiral structure creates superior fluid dynamics conditions. When circulating water flows within the spiral pipes, it experiences centrifugal force, generating secondary circulation. This disturbance enhances the convective heat transfer intensity between the water flow and the pipe wall, reducing thermal resistance. Simultaneously, from the perspective of the external fermentation material, the uniformly distributed spiral coil structure avoids the "cold zones" and "hot zones" within the pile that can occur with traditional localized heat exchangers, resulting in a more uniform temperature field. This promotes the uniformity and stability of microbial reactions throughout the fermentation volume, ultimately improving fertilizer quality.

[0042] Furthermore, this design also boasts advantages in system integration and reliability. Integrating the heat exchange pipes directly into the fermentation chamber 11 eliminates the need for a separate external heat exchanger and its complex connecting piping, reducing equipment costs and installation complexity, as well as minimizing leakage risks and maintenance points associated with additional interfaces. From an effect perspective, this highly efficient spiral coil heat exchange structure lays the physical foundation for the system's "self-consistent energy supply" goal. It ensures that the heat released during fermentation is efficiently and locally converted into heat energy in the hot water with minimal heat loss. This makes the subsequent adjustment of the "hot water flow rate" by the collaborative control module 4 practically meaningful. Only when heat extraction itself is sufficiently efficient can the strategy of "adjusting" the heat extraction rate through intelligent control to match the needs of the fermentation stage maximize its value. Therefore, the spiral coil arrangement is not only a structural optimization but also an indispensable hardware prerequisite for achieving intelligent collaboration between fermentation and heat extraction.

[0043] In some embodiments, the collaborative control module 4 is configured to coordinate the fermentation process and the heat extraction process by adjusting the ventilation volume, stirring frequency, and hot water exchange flow rate. The collaborative control module 4 is designed as the intelligent hub of the entire system. Its core function is to achieve dynamic balance and collaborative optimization between the fermentation process and the heat extraction process by comprehensively adjusting the three key execution parameters: ventilation volume, stirring frequency, and hot water exchange flow rate. In practical implementation, this configuration can be achieved through various automatic control strategies. For example, a basic implementation is to use multi-loop PID control. The algorithm of the collaborative control module 4 sets a setpoint for the ventilation fan, stirring motor, and circulating water pump, determined by the current fermentation stage and the target, and then adjusts them independently through their respective PID controllers. More advanced implementations may employ multivariable decoupling control or model predictive control. For example, when the sensor detects that the temperature in the inner cavity 11 is too high and the oxygen concentration is low, the algorithm will determine that this may be due to increased oxygen consumption and excessive heat production caused by vigorous microbial activity. At this point, the control module doesn't simply increase ventilation; instead, it outputs a set of coordinated commands: appropriately increasing the speed of the variable frequency fan to increase ventilation, supplement oxygen, and assist in cooling; simultaneously, it may slightly reduce the operating frequency of the stirring motor to reduce the extra heat generated by mechanical agitation; but it will significantly increase the power of the circulating water pump or adjust the valve opening to increase the flow rate of the hot water, thereby actively enhancing heat extraction and quickly transferring excess heat to the heating circuit. This simultaneous yet differentiated adjustment of the three parameters embodies the concept of "synergy," with the goal of quickly stabilizing the fermentation environment back to its optimal range.

[0044] Another concrete example of its application lies in the precise matching of the "heat extraction process." The collaborative control module 4 not only responds to the fermentation status but also receives demand signals from the heating circuit. For instance, when the domestic hot water tank temperature is low and urgent reheating is needed, the module will prioritize calculating and executing a parameter combination that maximizes heat extraction efficiency, while ensuring the fermentation process is not interrupted (e.g., during the high-temperature maintenance phase). It might temporarily increase the hot water flow rate to its maximum within permissible limits, while fine-tuning the ventilation to compensate for potential localized overcooling of the pile due to accelerated heat extraction, and maintaining stirring to ensure uniform temperature. This process is dynamic and continuous; the control module constantly seeks an optimal or satisfactory balance between the sometimes conflicting sets of "optimal parameters required for fermentation" and "optimal parameters required for heating" through algorithms.

[0045] This control method, which coordinates ventilation volume, stirring frequency, and hot water exchange rate to achieve dual-process synergy, brings fundamental benefits. Its greatest value lies in breaking the technical impasse of traditional systems where "preserving fermentation" and "maximizing heat extraction" are mutually exclusive. Ventilation volume directly affects the oxygen supply to microorganisms and the heat dissipation rate of the pile; stirring frequency affects the uniformity of the material, aeration, and heat dissipation surface area; and the hot water exchange rate directly determines the rate at which heat energy is removed. Optimizing any one parameter alone may damage the other process. The control strategy in this embodiment regulates all three as a whole, allowing the system to flexibly allocate resources like a "smart manager." When fermentation requires heating and heat preservation, the system can reduce water flow, decrease ventilation (controlled at the anaerobic edge), and carefully stir to accumulate heat; when heat demand is high and fermentation heat production is excessive, the system increases water flow, strengthens ventilation and stirring to accelerate heat extraction and maintain an aerobic environment. Therefore, the derivation of its beneficial effects is straightforward: through this synergistic regulation, the system can dynamically allocate the heat generated by the biomass reaction over time, ensuring that microorganisms are active and efficient at each stage, thus producing high-quality organic fertilizer with high decomposition. Simultaneously, it can convert the waste heat inevitably generated during fermentation, which is often wasted, into usable hot water or heating in the largest proportion and on demand. This ultimately achieves a leap from an energy-consuming unit to an energy-producing unit for organic fertilizer treatment facilities, while simultaneously improving product value and resource utilization efficiency.

[0046] In some embodiments, the heating circuit module 2 includes a domestic hot water branch and a heating circulation branch, which are connected in parallel or series to the hot water exchanger array 111. The specific construction method of the heating circuit module 2 is further clarified. This module is designed to include two independent functional branches: one is a domestic hot water branch, and the other is a heating circulation branch. These two branches, connected by different pipework methods, together with the spiral hot water exchanger array 111 in the inner cavity 11, form a complete heat energy distribution network. The core of its technical implementation lies in the ability to select either parallel or series connection methods, based on the heat demand characteristics and system complexity of the actual application scenario, to intelligently and efficiently distribute the heat energy captured by the single heat source, the hot water exchanger array 111, to different end uses.

[0047] A common and efficient implementation method is parallel connection. In this configuration, the high-temperature hot water flowing from the outlet of the spiral hot water exchanger array 111 first enters a distributor or three-way valve. At this node, the water path is divided into two branches: one branch is directly connected to a plate heat exchanger for isolated heat exchange with the tap water, thereby quickly preparing domestic hot water; the other branch is connected to a closed pipeline containing a circulation pump to provide a heat source for underfloor heating or radiator systems. The two branches circulate independently, and the total hot water flow and temperature are dynamically allocated by the collaborative control module 4 based on the temperature signal from the domestic hot water tank and the room temperature feedback of the heated room, through electric regulating valves installed on their respective pipelines. For example, when heating is mainly needed at night, the valve of the domestic hot water branch can be appropriately closed to direct more heat to the heating end; while during peak water usage periods during the day, priority can be given to ensuring the rapid preparation of domestic hot water.

[0048] Another implementation method is series connection, which focuses more on the cascade utilization of heat energy. Specifically, the return water (which has cooled down) from the heating circulation branch is used as the inlet water for the domestic hot water branch. The process is as follows: the high-temperature water flowing from the hot water exchanger pipe array 111 first flows through the coils inside the domestic hot water storage tank, heating the cold water in the tank to a higher temperature (e.g., above 55℃) for direct use. Afterward, the cooled water does not return directly to the fermentation module but continues to flow into the circulation pipes of the heating system, providing the rooms with a relatively lower temperature (e.g., 40-50℃) heat medium that fully meets heating needs, and finally flows back to the hot water exchanger pipe array 111 for reheating. This series "relay" heat utilization method ensures that high-grade heat energy is prioritized for the more demanding domestic hot water, while low-grade waste heat is used for heating, achieving full utilization of both the "quality" and "quantity" of heat energy.

[0049] Whether using parallel or series connection, this design offers significant and multi-layered benefits. The most crucial benefit is the on-demand, tiered, and comprehensive utilization of waste heat from biological processes, greatly improving the overall system's energy efficiency and practical value. Domestic hot water requires high temperatures but the demand may be instantaneous, while heating requires relatively lower temperatures but the demand is continuous and stable. Through the dual-branch design, the system can flexibly adapt to these two different energy consumption modes, avoiding the heat waste or supply-demand mismatch that could occur with a single heating terminal in the past. Secondly, this modular design enhances the system's stability and reliability. Even if one branch is shut down for maintenance or when not in use, the other branch can continue to operate, recovering and utilizing fermentation waste heat, ensuring the continuous operation of the system's basic functions. From the perspective of the final effect, it is this heating loop structure that transforms the efficiently captured fermentation bioheat from a "potentially usable" energy source into two stable energy products that can directly meet the needs of daily production and life (instant hot water and comfortable space heating), thus completely constructing a closed loop of "waste treatment - energy self-production - energy self-use". This makes the organic fertilizer fermentation facility truly transform from an environmentally friendly treatment unit into an energy production unit with significant economic benefits.

[0050] Secondly, this application provides a synergistic control method for self-consistent energy supply from waste heat during organic fertilizer fermentation, implemented in any of the above embodiments, such as... Figure 2 As shown, it includes: S1: Collect fermentation environment parameters inside the dual-chamber fermentation module; S2: Based on fermentation environment parameters, generate control commands for synergistically regulating the fermentation process and the heat extraction process; S3: Send control commands to the dual-chamber fermentation module and the heating circuit module to adjust at least one of the ventilation volume, stirring frequency and hot water flow rate.

[0051] This embodiment details the specific process and implementation technology of the collaborative control method executed by the aforementioned intelligent system for self-consistent energy supply from waste heat during organic fertilizer fermentation. The essence of this method is to program and proceduralize the system's intelligent control logic, with the collaborative control module within the system serving as the execution entity. For example... Figure 2As shown, the process begins with step S1, which involves systematically collecting fermentation environmental parameters within the dual-chamber fermentation module. In practical implementation, this step is accomplished through a sensor network deployed at different depths and locations within the chamber. For example, puncture-type temperature sensors can be inserted into the upper, middle, and lower layers of the fermentation material to obtain the temperature field distribution; oxygen concentration sensors and humidity sensors are installed at the center of the stack. These sensors transmit data via wired (e.g., 4-20mA current signal) or wireless (e.g., LoRa) methods at a set sampling frequency (e.g., once every 5 minutes) to the central processing unit of the collaborative control module, thus forming the data basis for control decisions.

[0052] After obtaining real-time data, the process enters the core S2 step, where control instructions are generated based on these fermentation environment parameters to coordinate the fermentation process and heat extraction. The intelligence of this step is reflected in its embedded decision-making algorithm. A common implementation method is to establish an expert system based on a rule base. For example, the controller's algorithm might pre-store rules such as: if "the average internal temperature is below 50°C and the temperature rise rate is greater than 1°C per hour," it is determined to be in the heating phase, triggering a combined control instruction: "Set the hot water exchange rate to low and the ventilation rate to high." More complex implementations might employ model predictive control. The algorithm, based on the current temperature and oxygen concentration, combined with a fermentation kinetic model, predicts state changes over a future period and solves for a set of optimal parameters (i.e., the optimal combination of ventilation rate, stirring frequency, and hot water exchange rate) that simultaneously minimizes both the "degree to which the fermentation process deviates from the optimal range" and the "degree to which heat extraction fails to meet requirements." These parameters are then translated into specific control instructions.

[0053] Finally, step S3 is responsible for translating the generated virtual control commands into actual actions of the physical devices. This step is achieved through the communication and drive interface between the control module and the field actuators. Specifically, the control commands are issued via industrial fieldbus protocols. For example, a command to "increase the flow rate of the hot water exchanger" is converted into a standard analog signal sent to the frequency converter of the circulating water pump, thereby increasing the pump's operating frequency from 35Hz to 45Hz; a command to "reduce the ventilation volume" may close a set of ventilation valves through the digital output module or reduce the speed of the centrifugal fan through an analog signal. These adjustments to at least one parameter among ventilation volume, stirring frequency, and hot water exchanger flow rate are the final physical interventions acting on the dual-chamber fermentation module and the heating loop module 2, aiming to continuously guide the system state towards the optimal equilibrium point calculated in step S2.

[0054] This closed-loop approach, encompassing perception, decision-making, and execution, offers fundamental benefits. Through standardized and replicable procedures, it transforms the abstract concept of "coordinated regulation" into concrete, automatically running, and iteratively optimized operations. Its effectiveness is first evident in the precision of its processing, ensuring that the control system's decisions at all times stem from direct measurement and analysis of the internal fermentation state, rather than rough estimates. This provides data-level reliability for ensuring fertilizer quality. Secondly, its effectiveness is reflected in the system's efficiency and autonomy. This method enables the system to continuously and automatically perform millisecond-level trade-offs and scheduling between "fermentation demand" and "heating demand." For example, when heating demand suddenly increases, it can quickly calculate and execute a parameter combination that maximizes heat extraction without excessively affecting fermentation temperature, thereby maximizing the system's overall utility without human intervention. Therefore, the ultimate benefit of this method is to derive the core logical closed loop of the stable operation of the self-consistent energy supply system: through programmed intelligent decision-making, it dynamically resolves process contradictions, enabling the fermentation process to continuously produce high-quality fertilizer, while also efficiently converting the waste heat it releases into usable energy on demand, ultimately achieving the unity of waste treatment and energy self-sufficiency at the operational level.

[0055] In some embodiments, based on fermentation environment parameters, control instructions are generated for synergistically regulating the fermentation process and the heat extraction process, including: Determine the fermentation stage of the organic fermentation substrate in the dual-chamber fermentation module based on fermentation environment parameters; Based on the fermentation stage, dynamically match the target control parameter set corresponding to the fermentation stage. The target control parameter set includes at least the target ventilation volume, target stirring frequency, and target hot water flow rate. Control commands are generated based on the target control parameter set.

[0056] This embodiment details the technical implementation of the core control command generation process in the collaborative control method. This process transforms the input fermentation environment parameters into executable control commands, and its intelligence is reflected in three logically progressive steps: stage judgment, parameter matching, and command generation. This ensures that system control is not based on fixed rules, but rather on a real-time understanding and dynamic response to the fermentation biological process.

[0057] In practical implementation, determining the fermentation stage based on fermentation environment parameters is the first step. This determination relies on a sensor network deployed within the dual-chamber fermentation module and pre-defined decision logic. A common approach is a time-temperature model based on temperature thresholds and duration. For example, the controller continuously monitors the average temperature within the chamber. When the temperature rises steadily from the ambient temperature and remains above 50 degrees Celsius within 24 hours, it is determined to have entered the "heating stage." When the temperature further reaches 55 to 65 degrees Celsius and remains stable within this high-temperature range for more than 72 hours, it is determined to be the "high-temperature maintenance stage." Subsequently, when the temperature shows a stable downward trend and falls back below 50 degrees Celsius, it enters the "cooling and ripening stage." A more precise implementation can introduce multi-parameter fusion judgment, such as simultaneously referencing data from an oxygen concentration sensor. During the heating stage, microorganisms consume oxygen intensely, causing the oxygen concentration to drop rapidly; while during the high-temperature maintenance stage, the oxygen concentration stabilizes at a lower level. Another advanced method is to use an embedded system to store a small number of historical fermentation curves. By matching the current temperature change trend with typical curves, the stage determination can be assisted, which enhances the adaptability to the differences in fermentation characteristics of different batches of materials.

[0058] After completing the stage determination, the process enters the step of dynamically matching the target control parameter set. The core of this step is a pre-defined, validated "stage-parameter" mapping database or rule base. Each identified fermentation stage corresponds to a set of optimized control target values. For example, for the "heating stage," the matched target parameter set might be: target ventilation set to "high" (e.g., 80% of rated ventilation), target stirring frequency set to "medium," and target hot water exchanger flow rate set to "low" (e.g., 30% of rated flow rate). This set of parameters aims to prioritize meeting the microorganisms' needs for oxygen and heat accumulation. When the system determines that it has entered the "high-temperature maintenance stage," it dynamically switches to another set of parameters: target ventilation adjusted to "medium" (e.g., 60%), and target hot water exchanger flow rate adjusted to "high" (e.g., above 90%). The dynamic switching of the parameter set is completed instantaneously through table lookups or conditional statements within the controller, ensuring that the control strategy evolves synchronously with the biological process. In some complex systems, this parameter set can also be dynamically adjusted slightly according to real-time heating demand (such as the water level and temperature of domestic hot water tanks) to achieve more precise on-demand matching.

[0059] Finally, generating actual control commands based on the target control parameter set is crucial for translating digital targets into physical actions. This typically involves signal conversion and actuation. For example, the controller converts the command "target hot water flow rate is high" into a corresponding 4-20mA current signal or 0-10V voltage signal through its built-in analog output module, and sends it to the inverter of the circulating water pump. Upon receiving this signal, the inverter adjusts the motor speed, thereby stabilizing the water flow velocity in the pipe near the target value. Similarly, the command "target ventilation volume is medium" might be converted into a specific pulse frequency signal to control the speed of the variable frequency fan, or converted into a switching signal to adjust the opening of the damper. For the stirring frequency, the command might directly control the start-stop cycle of the AC motor or the output frequency of the inverter. These generated commands are sent in real time to the fans and stirring motors in the dual-chamber fermentation module, as well as the water pumps and valves in the heating circuit module, via an industrial bus network or hardwiring, thus completing a full closed loop from perception and decision-making to execution.

[0060] This control command generation mechanism brings fundamental benefits. First, by discretizing the continuous fermentation process into distinct stages and matching them with preset optimized parameter sets, the system achieves a shift from "reactive control" to "predictive planning." This solves the problems of low fermentation efficiency or insufficient heat recovery caused by control lag or inappropriate parameters in traditional methods. Second, dynamic matching ensures that the control strategy always aligns with the inherent biological rhythm of fermentation. Protecting heat during the heating phase, efficiently extracting heat during the high-temperature phase, and ensuring decomposition during the cooling phase—this control, which conforms to the laws of life activities, is a prerequisite for simultaneously obtaining high-quality organic fertilizer and high-yield heat energy. Finally, generating standardized commands based on a defined parameter set ensures the accuracy and repeatability of control. The benefits of the entire process are ultimately reflected in the system's total output: it not only stably produces fully decomposed, harmless, high-quality organic fertilizer, but also converts the waste heat released during fermentation into directly usable domestic hot water and heating energy at almost no cost. Thus, in an intelligent and automated manner, it achieves the dual goals of agricultural waste treatment and clean energy production, significantly enhancing the economic value and environmental benefits of resource recycling.

[0061] In some embodiments, according to the fermentation stage, dynamically matching the target control parameter set corresponding to the fermentation stage includes: If the fermentation stage is a heating stage, then the first target hot water exchange flow rate and the first target ventilation volume are matched, wherein the first target hot water exchange flow rate is lower than the preset average flow rate. If the fermentation stage is a high-temperature maintenance stage, then the second target hot water exchange flow rate and the second target ventilation volume are matched, wherein the second target hot water exchange flow rate is higher than the preset average flow rate. If the fermentation stage is a cooling and maturation stage, then the third target ventilation volume should be matched and stirring should be stopped, wherein the third target ventilation volume is lower than the first target ventilation volume.

[0062] This embodiment elaborates on the operational details of dynamically matching precise control parameters based on the determined fermentation stage in the collaborative control method. The core of these details lies in pre-defining and matching differentiated and quantified sets of target control parameters for the three biologically distinct periods: the "heating stage," the "high-temperature maintenance stage," and the "cooling and ripening stage." In particular, it sets numerical strategies with clear comparative relationships for the two key parameters, the hot water flow rate and the ventilation volume, thereby transforming the abstract "dynamic matching" into explicit, programmable logic.

[0063] In terms of technical implementation, a direct and reliable approach is to pre-set a parameter mapping lookup table in the software of the collaborative control module. During system debugging, engineers, based on the experience of fermentation process experts and preliminary experimental data, set specific parameter values ​​for each stage and store them in this table. For example, the "preset average flow rate" is set to 50% of the system's rated circulating water flow rate. When the identification unit determines that the current stage is "heating stage," the control algorithm queries the table and calls the corresponding "first target parameter set." The "first target hot water exchange flow rate" is set to 30% of the rated flow rate, explicitly lower than 50% of the preset average; simultaneously, the "first target ventilation volume" is set to 80% of the rated air volume to ensure sufficient oxygen supply. All these values ​​exist internally as digital variables within the controller, and the algorithm's task is to select the correct variable set based on the conditional variable of "fermentation stage." Another more refined implementation employs a model predictive control framework. The algorithm not only performs table lookups but also fine-tunes and optimizes parameters such as the "first target ventilation rate" within a reasonable range based on preset values, using real-time monitored dynamic data such as the reactor's heating rate and oxygen consumption rate. This achieves a faster and smoother transition. Furthermore, in an IoT architecture, these target parameter sets can be stored in the cloud, allowing engineers to analyze and remotely optimize and upgrade based on long-term operational big data from multiple similar systems. This enables continuous self-learning and improvement of the parameters, making the matching strategy increasingly accurate over time.

[0064] When the system enters the "high-temperature maintenance phase," the dynamic matching mechanism immediately switches to another set of parameter logic. The control module calls the "second target parameter set," the core feature of which is that the "second target hot water flow rate" is set at a high level, such as 85% of the rated flow rate. This is significantly higher than the preset average flow rate of 50%, aiming to maximize the extraction of excess biothermal energy during this phase. Simultaneously, the "second target ventilation volume" is set at a maintenance-friendly medium level, such as 60%, a value that balances ensuring an aerobic environment with avoiding excessive heat dissipation. In practical engineering, this set of parameters drives the frequency converter of the circulating water pump to operate at a higher frequency and may stabilize the airflow by adjusting the opening of the air valves. Upon entering the "cooling and maturation phase," the matching strategy undergoes another fundamental change. The control module calls the "third target parameter set," where the "third target ventilation volume" is set to a lower value, such as 20% of the rated airflow. This is significantly lower than the "first target ventilation volume" during the heating phase, aiming to reduce heat dissipation and maintain a stable maturation environment for the reactor. At the same time, the algorithm generates a clear instruction to send a "stop" signal to the driver of the stirring mechanism to completely stop the mechanical stirring in order to avoid damaging the already formed humus and microbial colony structure. This "stop stirring" instruction itself is also an important part of the parameter set for this stage.

[0065] This clear and quantifiable set of phased parameter matching rules brings significant and multi-layered benefits. Its most fundamental advantage lies in its systematic resolution of the inherent contradiction between fermentation process optimization and heat recovery through precise numerical control. During the heating phase, by matching parameters of "low water flow, high ventilation," the system actively suppresses heat extraction intensity, trapping heat within the pile for rapid initiation of microbial reactions. Simultaneously, high ventilation meets the enormous oxygen demand of this stage, directly ensuring that the fermentation process can quickly and thoroughly reach a high-temperature state, laying the biological foundation for producing high-quality fertilizer. During the high-temperature maintenance phase, the strategy reverses to "high water flow, medium ventilation." At the peak of fermentation heat production and when heat energy is extremely abundant, the focus decisively shifts to energy recovery. High water flow maximizes heat capture efficiency, while maintaining medium ventilation ensures that the center of the pile does not decay due to lack of oxygen, thus converting most of the waste heat into usable hot water while maintaining the core activity of fermentation. During the cooling and composting stage, the strategy of "low airflow and no stirring" prioritizes ensuring the quality of the final product. Low airflow reduces moisture loss and temperature fluctuations, while stopping stirring avoids physical damage. Together, these create the optimal environment for stable post-fermentation of the fertilizer and the formation of humus. Therefore, the entire chain of beneficial effects is complete and clear: by segmenting the fermentation process and matching each segment with an optimized and clearly defined set of parameters, the control system acts like an experienced engineer, executing the most suitable operations at different times. This ultimately ensures the simultaneous optimal achievement of two parallel goals: producing fully composted, high-quality organic fertilizer, and recovering and converting the previously wasted bio-heat released during fermentation into a continuous and stable source of domestic hot water and heating energy, according to the production characteristics of different stages, with the highest possible efficiency. This achieves a high degree of unity and value maximization between environmental protection and energy self-sufficiency at the operational level.

[0066] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0067] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart system for self-sufficient energy supply from waste heat during organic fertilizer fermentation, characterized in that, include: A dual-chamber fermentation module (1) includes an inner cavity (11) for containing an organic fermentation substrate and an outer cavity (12) sleeved outside the inner cavity (11). A hot water exchange pipe array (111) is integrated inside the inner cavity (11). A heating circuit module (2) is connected to the outlet and inlet of the hot water exchange pipe array (111) and is configured to output the biothermal energy captured by the hot water exchange pipe array (111). A data acquisition module (3) is provided in the dual-chamber fermentation module (1) and is configured to collect fermentation environment parameters of the inner chamber (11); The collaborative control module (4) is communicatively connected to the data acquisition module (3), the dual-chamber fermentation module (1), and the heating circuit module (2). The collaborative control module (4) is configured to generate control commands based on the fermentation environment parameters to coordinate the fermentation process and the heat extraction process.

2. The system according to claim 1, characterized in that, The collaborative control module (4) includes a fermentation stage identification unit and a dynamic matching and regulation unit; The fermentation stage identification unit is configured to identify the current fermentation stage based on the fermentation environment parameters; The dynamic matching and control unit is configured to dynamically match and output the control command according to the fermentation stage. The control command is used to adjust the ventilation volume, stirring frequency and the flow rate of the hot water flowing through the hot water exchange tube array (111).

3. The system according to claim 2, characterized in that, The fermentation stage includes a heating stage, a high-temperature maintenance stage, and a cooling and maturation stage; the fermentation stage identification unit is configured to determine the fermentation stage based on the temperature of the inner cavity (11) and the duration of temperature change.

4. The system according to claim 3, characterized in that, The dynamic matching and control unit is configured as follows: During the heating phase, the flow rate of the hot water exchanged is reduced and the ventilation volume is increased. During the high temperature maintenance phase, the flow rate of the hot water exchanged is increased while the ventilation volume is maintained within a preset range. During the cooling and composting stage, the ventilation volume is reduced and stirring is stopped.

5. The system according to claim 1, characterized in that, The hot water exchange pipe array (111) is spirally coiled in the inner cavity (11).

6. The system according to claim 1, characterized in that, The collaborative control module (4) is configured to coordinate the fermentation process and the heat extraction process by adjusting the ventilation volume, stirring frequency and hot water flow rate.

7. The system according to claim 1, characterized in that, The heating circuit module (2) includes a domestic hot water branch and a heating circulation branch, which are connected in parallel or in series to the hot water exchange pipe array (111).

8. A synergistic control method for self-sufficient energy supply from waste heat during organic fertilizer fermentation, implemented in the system described in any one of claims 1-7, characterized in that, include: S1: Collect fermentation environment parameters inside the dual-chamber fermentation module; S2: Based on the fermentation environment parameters, generate control instructions for coordinating the fermentation process and the heat extraction process; S3: Send the control command to the dual-chamber fermentation module and the heating circuit module to adjust at least one of the ventilation volume, stirring frequency and hot water flow rate.

9. The cooperative control method according to claim 8, characterized in that, The generation of control commands based on the fermentation environment parameters for coordinating the fermentation process and the heat extraction process includes: The fermentation stage of the organic fermentation substrate in the dual-chamber fermentation module is determined based on the fermentation environment parameters. Based on the fermentation stage, a set of target control parameters corresponding to the fermentation stage is dynamically matched. The set of target control parameters includes at least the target ventilation volume, the target stirring frequency, and the target hot water flow rate. The control command is generated based on the target control parameter set.

10. The cooperative control method according to claim 9, characterized in that, The step of dynamically matching the target control parameter set corresponding to the fermentation stage includes: If the fermentation stage is a heating stage, then a first target hot water exchange flow rate and a first target ventilation volume are matched, wherein the first target hot water exchange flow rate is lower than a preset average flow rate. If the fermentation stage is a high-temperature maintenance stage, then a second target hot water exchange flow rate and a second target ventilation volume are matched, wherein the second target hot water exchange flow rate is higher than the preset average flow rate; If the fermentation stage is a cooling and maturation stage, then a third target ventilation volume is applied and stirring is stopped, wherein the third target ventilation volume is lower than the first target ventilation volume.

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