A high-frequency electromagnetic wave continuous sterilization system and method for edible mushroom bags

Abstract

The application provides a kind of edible fungus bag high frequency electromagnetic wave continuous sterilization system and method, it is related to the technical field of auxiliary equipment used before edible fungus mycelium inoculation, the system obtains the linear velocity of the thick material fungus bag loaded on the conveying line, surface temperature gradient and transient reflection power waveform;Based on the mutation of reflected waveform, the internal boiling state is extracted, and it is time axis aligned with the heating evolution mapping sequence of linear velocity and surface temperature to generate the center heating standard index;When the safety threshold is not met and the heat-sensitive loss limit is touched, microwave emission is blocked, and the radio frequency heat dissipation temperature control heat component uses recycled heat medium to perform constant temperature curing, and cold air quenching is started after reaching the standard;Effectively eliminate the contradiction between the central sterilization dead angle difficult to monitor and excessive heating loss of nutrients, realize cross-process heat energy self-adaptive relay and aseptic quality front line.

Description

Technical Field

[0001] This invention relates to the technical field of auxiliary equipment used before inoculating edible fungi mycelium, specifically a high-frequency electromagnetic wave continuous sterilization system and method for edible fungi bags. Background Technology

[0002] In modern industrialized production of edible fungi, the sterilization process of thick-layer mushroom bags under large-scale assembly line operations is the core link in killing competing bacteria while retaining beneficial substrate components, directly determining the survival rate of subsequent inoculation and the final production capacity. Existing technologies, such as Chinese patent document CN121844893A, disclose an intelligent flexible production method for high-energy radio frequency sterilization of edible fungi. This method mainly includes steps such as substrate enzymatic hydrolysis and preparation, high-temperature fermentation, automated bagging, high-energy radio frequency sterilization, heat pump cascade ripening and cooling, and aseptic inoculation. It utilizes high-energy radio frequency technology for rapid sterilization, combined with heat pump cascade technology for energy recovery and precise temperature control, and integrates with an intelligent control system to achieve continuous production, thus optimizing the energy consumption level and automation level of traditional sterilization processes to a certain extent.

[0003] In actual large-scale, thick-layer mushroom bag continuous production line dynamic operation scenarios, the above solutions still face limitations: when high-energy electromagnetic waves penetrate dense and moisture-dispersed substrates, they are prone to uneven heating. Relying solely on external temperature measurement makes it difficult to penetrate the medium and obtain the true internal polarization temperature rise state, making it difficult for the sterilization dead zone in the center of the thick material to be accurately monitored by the system. Furthermore, blindly increasing radio frequency radiation energy or extending exposure time in order to ensure that the internal dead zone meets the standards often induces overheating of the outer substrate, leading to irreversible carbonization loss of key heat-sensitive nutrients.

[0004] Meanwhile, the high-frequency heat dissipation of the front-end radio frequency generation module and the heat energy demand of the back-end uniform temperature curing stage are often in independent control domains. This can easily lead to spatiotemporal mismatch across processes due to control fragmentation, making it difficult to perform accurate dynamic thermal compensation based on the actual heat underload state of each individual mushroom bag. Summary of the Invention

[0005] The purpose of this invention is to provide a high-frequency electromagnetic wave continuous sterilization system and method for edible mushroom bags, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags includes a memory, a processor, and a computer program stored in the memory and running on the processor. The processor is configured to perform the following steps:

[0008] Acquire multidimensional time-series sensing data of thick-layered bags loaded with lignocellulose culture medium on a conveyor line. The multidimensional time-series sensing data includes the linear velocity state of the transmission unit characterizing the movement rhythm, the surface temperature gradient entering and exiting the high-frequency penetration sterilization zone, and the transient reflection power waveform of the radio frequency generation unit.

[0009] Based on the waveform abrupt extreme value of the transient reflected power waveform, the internal boiling state characteristics are extracted. In parallel, the linear velocity state quantity of the transmission unit and the surface temperature gradient are combined to perform time-series cumulative integration to construct a thermal evolution mapping sequence.

[0010] Align the internal boiling state characteristic time axis to the thermal evolution mapping sequence to perform calculation deviation calibration, and generate the central heating compliance index based on the preset cross-weighted evaluation model.

[0011] The central heating standard is compared with the safe sterilization threshold of the substrate before inoculation. If the safe sterilization threshold is not met and it is determined that the heating evolution mapping sequence has reached the heat-sensitive component loss limit threshold, a microwave transmission blocking command is sent to the radio frequency generation unit.

[0012] The radio frequency heat dissipation temperature parameter of the radio frequency generation unit is extracted and output to the heat distribution execution component to switch the flow direction of the heat medium. The recovered heat medium is used to perform constant temperature curing on the thick material bag. After the curing reaches the standard, the cold air circulation is started to perform physical rapid cooling to cut off the breeding conditions of heat-resistant bacteria and output a sterile preparation substrate that meets the requirements of the inoculation process.

[0013] A method for continuous high-frequency electromagnetic wave sterilization of edible mushroom bags, the method being used to execute the aforementioned continuous high-frequency electromagnetic wave sterilization system for edible mushroom bags, comprising:

[0014] Acquire multidimensional time-series sensing data of thick-layered bags loaded with lignocellulose culture medium on a conveyor line. The multidimensional time-series sensing data includes the linear velocity state of the transmission unit characterizing the movement rhythm, the surface temperature gradient entering and exiting the high-frequency penetration sterilization zone, and the transient reflection power waveform of the radio frequency generation unit.

[0015] Based on the waveform abrupt extreme value of the transient reflected power waveform, the internal boiling state characteristics are extracted. In parallel, the linear velocity state quantity of the transmission unit and the surface temperature gradient are combined to perform time-series cumulative integration to construct a thermal evolution mapping sequence.

[0016] Align the internal boiling state characteristic time axis to the thermal evolution mapping sequence to perform calculation deviation calibration, and generate the central heating compliance index based on the preset cross-weighted evaluation model.

[0017] The central heating standard is compared with the safe sterilization threshold of the substrate before inoculation. If the safe sterilization threshold is not met and it is determined that the heating evolution mapping sequence has reached the heat-sensitive component loss limit threshold, a microwave transmission blocking command is sent to the radio frequency generation unit.

[0018] The radio frequency heat dissipation temperature parameter of the radio frequency generation unit is extracted and output to the heat distribution execution component to switch the flow direction of the heat medium. The recovered heat medium is used to perform constant temperature curing on the thick material bag. After the curing reaches the standard, the cold air circulation is started to perform physical rapid cooling to cut off the breeding conditions of heat-resistant bacteria and output a sterile preparation substrate that meets the requirements of the inoculation process.

[0019] Compared with the prior art, the beneficial effects of the present invention are:

[0020] This invention constructs multi-dimensional time-series sensing data by acquiring transmission linear velocity, surface temperature gradient, and transient reflected power waveforms. It then combines the impedance abrupt change characteristics of internal water boiling with the thermal evolution mapping sequence for time axis alignment and calculation deviation calibration, dynamically outputting the center's thermal compliance index. When the center fails to meet the standard and the surface matrix approaches the loss limit of the heat-sensitive component, the system prioritizes issuing a microwave transmission blocking command. This mechanism overcomes the blind spots in internal state monitoring caused by relying solely on surface temperature extrapolation. It effectively prevents the surrounding nutrient medium from carbonizing and failing due to excessive polarization, while also avoiding the risk of inoculation contamination caused by incomplete penetration in dead zones.

[0021] Furthermore, this invention extracts the radio frequency heat dissipation temperature parameter of the radio frequency generation unit and directly links the output of the heat medium flow direction switching command of the heat distribution execution component. The recovered heat medium is then specifically used for the constant temperature curing of thick-layer mushroom bags, and after curing reaches the standard, cold air circulation is activated for physical rapid cooling. The biochemical sterilization gap left at the front end due to the anti-carbonization blockage is smoothly transferred to the back end for physical heat conduction compensation. The cooling also cuts off the natural slow cooling and reproduction conditions of heat-resistant bacteria, improving the overall energy utilization rate of the production line and the sterilization quality of the substrate.

[0022] Furthermore, this invention constructs a feature record sequence using the physical displacement data corresponding to the transmission unit as the primary key when acquiring multi-source sensing data. This associates the asynchronously sampled spatial coordinates, temperature extremes, and transient power waveforms in the time dimension with the corresponding spatial coordinate data nodes. This eliminates the time-domain offset caused by the sampling frequency of heterogeneous sensors and bus communication delays, providing a self-consistent, zero-drift spatiotemporal basis for subsequent dual-track thermodynamic integration derivation.

[0023] Furthermore, this invention extracts the reflection abrupt evolution period extending backward from the waveform abrupt extreme value, performs time-series accumulation to extract the cumulative characteristic quantity of continuous reflection power, and compares it numerically with the physical boiling determination benchmark. This confirms the true large-area liquid-gas phase transition state deep within the matrix and prevents the extreme value overwriting logic from being falsely triggered by environmental noise.

[0024] Furthermore, this invention generates a sterilization thermal compensation deviation by calculating the numerical difference between the safe sterilization threshold and the central heating standard at the moment of power failure, and calculates the target valve opening and target uniform temperature curing time for controlling the proportional control valve. This strategy decouples the dimensionless biochemical lethal gap caused by the interruption of the front end due to safety precautions and transforms it into a specific control target point to guide the mechanical action of the back-end damper and the thermal penetration aging, achieving a seamless connection between electromagnetic heating and fluid dynamic uniform temperature compensation. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the overall physical space architecture of the present invention;

[0026] Figure 2 This is a perspective view of the digital twin mesh mapping and spatiotemporal homology alignment of the present invention;

[0027] Figure 3 This is a cross-sectional view of the physical response to the dual-track boundary state determination and asymmetric intervention of the present invention.

[0028] Figure 4 This is a topology diagram of the cross-domain heat transfer fluid relay and physical quenching pipe network of the present invention;

[0029] Figure 5 A schematic diagram showing the results of a numerical verification experiment conducted on the microwave asymmetric blocking intervention step.

[0030] Figure 6 This is a diagram illustrating the global control logic and architecture flow of the present invention.

[0031] Figure 7 This is a diagram illustrating the derivation steps of the targeted weight determination, hysteresis reset, and ripening compensation based on internal physical phase transition of the present invention.

[0032] Figure 8 This is a flowchart illustrating the technical route of the present invention. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0034] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various elements, but unless otherwise stated, these elements are not limited by these terms. These terms are used only to distinguish one element from another.

[0035] Example 1:

[0036] Please see Figures 1 to 8 The present invention provides a technical solution:

[0037] This embodiment addresses the technical challenges of monitoring blind spots in the central sterilization process of thick-layer mushroom bags in continuous production line dynamic operations, including overheating leading to nutrient loss, and a mismatch between front-end radio frequency heat consumption and back-end curing heat requirements. This embodiment provides a high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags. The system includes a memory, a processor, and a computer program stored in the memory and running on the processor. Through data state transitions and logical mapping, it directly drives actuators such as the transmission unit, radio frequency generation unit, and heat distribution execution component to complete the aseptic preparation. This embodiment is deployed in a modern edible mushroom factory's pre-inoculation aseptic preparation production line, and its physical layout along the material conveying direction sequentially constructs the following functional nodes:

[0038] It includes an automated drive unit throughout the entire system (e.g., microwave-transmitting Teflon tracks driven by a variable frequency reducer with an industrial encoder) responsible for smoothly carrying and continuously moving thick bags of lignocellulose culture medium.

[0039] In the middle section of the conveyor line, a high-frequency penetrating sterilization zone covered by a metal shielding mesh is erected across it. An array of radio frequency (RF) generators is deployed at the top of this zone (physically configured to operate at single / mixed RF frequencies of 27.12MHz, 915MHz, or 2450MHz, with a base transmit power range limited to 15kW to 200kW). A curing and physical quenching composite chamber, equipped with a waste heat pump, coolant pumping unit, and an electric proportional control valve, is directly cascaded at the rear of the sterilization zone. This embodiment deploys a multi-source heterogeneous sensor network along the production line: including photoelectric sensor sequences deployed at the inlet and outlet nodes of the transmission path, non-contact infrared temperature measurement matrices fixedly mounted outside the sterilization chamber inlet and outlet, and state communication edge nodes directly coupled to the motor driver to extract rotor electrical frequency feedback values ​​and coupled to the RF motherboard to extract transient transmit and reflect power data.

[0040] This embodiment utilizes a control hub (such as an industrial control computer or programmable logic controller) equipped with a multi-channel fieldbus communication interface and floating-point logic operation capabilities to perform multi-dimensional time-series sensing data acquisition, biochemical evolution mapping and deduction, and microwave power supply cutoff control actions. This control hub integrates: a set of data access gateways for handshaking with heterogeneous field sensors using PROFINET or ModbusTCP standard industrial protocols; a microprocessor with floating-point matrix operation capabilities; and a non-volatile, high-capacity memory. This memory is pre-programmed with all the computer program instructions required for the system's operation and pre-sets a circular spatial buffer queue in its storage address for high-frequency data throughput and spatiotemporal matching. Based on the physical communication connection between the data access gateways, the microprocessor, and the non-volatile, high-capacity memory, the control hub constructs a closed-loop hardware architecture for receiving input data from a multi-source heterogeneous sensor network, performing spatiotemporal alignment calculations of multi-dimensional time-series characteristics, and outputting linkage control commands to external drivers.

[0041] In this embodiment, prior to continuous sterilization, the microprocessor is configured to rely on a pre-executed offline calibration phase for building an initial basic configuration model and thermodynamic baseline. Because different formulations of edible mushroom substrates (such as sawdust substrate and corn cob substrate) inherently differ in their lethal thermodynamic constants and degradation constants of heat-sensitive substances under electromagnetic wave penetration, baseline alignment based on historical logs of the experimental test set is necessary. In the offline calibration test, standard-sized thick-layer mushroom bags are obtained. At the aforementioned specific microwave frequency band, physical temperature probes are deeply embedded into the center of the mushroom bag to extract high-frequency historical thermodynamic data from the center. The extracted data source includes historical measured data containing discrete time steps and corresponding actual thermodynamic temperature measurement points at the center.

[0042] The microprocessor invokes a pre-defined nonlinear regression polynomial model. This model is based on the Arrhenius thermal inactivation physical equation and first-order reaction kinetics framework, and is a multivariate fitting function with historical measured center temperature and heating time step as independent variables and biochemical index mapping values ​​as dependent variables. During multivariate statistical regression, the microprocessor uses a two-dimensional matrix of measured data as feature inputs, and uses the measured microbial residue detection rate and polysaccharide molecule retention rate in offline samples as alignment labels. It then constructs a fitting bias function using the least squares method. The weight coefficients of this nonlinear regression polynomial are iterated continuously until the sum of squared residuals output by the fitting bias function converges to a preset minimum error tolerance value (e.g., 10). -4 Within ) . At this point, the model determines that the parameter optimization convergence is complete. Based on the converged weight coefficients, the preset sterilization qualification benchmark curve, which uses the physical time of heating and the equivalent temperature of the thermal field as coordinate axes, to characterize the inactivation rate of the target microorganism, and the thermosensitive component degradation benchmark curve, which uses the same time and temperature variables as coordinate axes, to characterize the degradation rate of key thermosensitive nutrients.

[0043] Simultaneously, thermodynamic mapping rules are invoked to establish environmental gating benchmarks. Specifically, combining the inherent thermal conductivity of the target lignocellulose culture medium with the preset physical dimensions of the thick material space, the absolute physical phase transition extreme value at 100℃ in the core region is extracted when the disintegration and vaporization of deep water molecules causes a sudden drop in the local dielectric constant. Based on the Fourier inverse thermal conductivity equation, the corresponding thermal distribution gradient accumulated on the surface layer at the lag time is calculated. Relying on this mapping relationship, a preset surface moisture evaporation temperature range (e.g., 90℃ to 95℃) is deduced and calibrated for subsequent online trigger logic verification. If the online measured surface gradient does not reach the lower limit of this range, it indicates that heat has not fully penetrated from the center outwards, and subsequent high-frequency anti-shake verification is blocked to shield against background noise consumption.

[0044] Furthermore, multiple feature formula libraries for different target edible fungi varieties (such as shiitake mushrooms and enoki mushrooms) are pre-configured and stored in a non-volatile large-capacity memory. The static configuration data loaded in the feature formula library is generated based on log statistical feature fitting of previous offline electromagnetic penetration and biochemical degradation experiments on various matrix samples, and is pre-burned into the storage address in the form of a read-only configuration file via the data bus. In terms of data mapping logic, the feature formula library uses a composite identification code containing the current target edible fungi variety, matrix component ratio (such as the proportion of lignocellulose), and matrix density as the feature formula mapping primary key. Based on the feature formula mapping primary key, the data indexing logic is executed to call and match the preset core state benchmark parameters such as lethal thermodynamic constant, thermosensitive component degradation rate constant, and thermal penetration clock factor one by one. For example, when the composite identification code points to a shiitake mushroom culture medium containing a specific proportion of lignocellulose, the control center hits and extracts the matching thermosensitive component degradation benchmark curve parameters from the feature formula library, and the nutrient carbonization loss normalization factor it calls is preferentially mapped and assigned a value of 0.0012. This serves as a safety benchmark, which is then directly incorporated into subsequent dual-track integral derivation calculations.

[0045] When the microprocessor receives a flexible switching command to change the edible fungus variety via the Manufacturing Execution System (MES) bus, the matching and scheduling mechanism within the control center is triggered. This automatically retrieves and displays a baseline empirical curve model that matches the specific enzyme preparations and nutritional structure contained within the current target substrate. This matching action enables adaptive reconstruction of the sterilization threshold parameter set and millisecond-level rapid switching of the production line.

[0046] Further execution of step one includes acquiring multi-dimensional time-series sensing data and aligning it with spatiotemporal sources. In this embodiment, at the moment of power-on self-test completion and entry into continuous sterilization operation, the front-end automated bagging equipment transports thick-layer mushroom bags pre-mixed with high-efficiency radio frequency absorbers to the production line to optimize the overall dielectric loss characteristics of the substrate and provide a stable electromagnetic feedback basis for subsequent capture of waveform changes in reflected power. At this time, the microprocessor in the control center triggers: acquiring multi-dimensional time-series sensing data of the thick-layer mushroom bags loaded with lignocellulose culture medium on the conveyor line. In this embodiment, the microprocessor concurrently calls the following four sensing links through the data interface to extract information:

[0047] The first sensing link is represented by spatial position sequence extraction. The microprocessor accesses a sequence of photoelectric sensors deployed at the feed end of the transmission path via a data interface and continuously monitors the trigger signals returned by the sensor sequence that characterize the on / off state of the physical detection beam. When the first thick-layer mushroom bag blocks the beam, causing a switch state transition, the microprocessor immediately receives the state transition signal output by the hardware and inputs it to the digital anti-shake filter component pre-stored in the memory to perform time-domain anti-shake determination. The digital anti-shake filter component performs input signal state consistency verification for continuous sampling cycles to physically isolate transient high-frequency glitches caused by conveyor belt dust or environmental insects. Specifically, the microprocessor only determines the entry of a solid mushroom bag after confirming that the duration of the rising edge of the hardware pulse exceeds the effective determination threshold of the anti-shake width (based on the dwell time of conveyor belt dust interference, this effective determination threshold is preferably set to 3 to 5 consecutive system reference sampling clock cycles). At this time, the effective physical pulse is captured in real time, and zero-point alignment mapping is performed based on a pre-calibrated reference spatial grid matrix. The output position coordinates are calculated and mapped according to the grid matrix, denoted as... It represents the absolute initial entry origin mark of the independent thick-layered fungal bag that triggers the hardware scan in the global two-dimensional physical coordinate system. Its data structure is a floating-point array with hardware timestamps, and the unit of measurement is meters (m). The preferred initial entry reference point coordinates are statically calibrated as [0,0]m.

[0048] The second sensing link is represented by the extraction of movement cycle time. The microprocessor periodically reads and parses the status acquisition node data directly coupled to the chassis control cabinet via the RS-485 bus interface. The main shaft of the motor in the chassis control cabinet is coaxially coupled with an incremental industrial photoelectric encoder. The analog-to-digital conversion channel built into the frequency converter captures the pulse signal output by the encoder in real time and maps it into a discrete rotor electrical frequency value for the current operating cycle. The node is configured to address in real time and extract the raw feedback value from the rotor frequency register. After acquiring the discrete rotor electrical frequency data, the microprocessor calls its internal arithmetic unit to perform algebraic calculations and numerical scaling mappings, combining it with the inherent physical transmission characteristic parameters (static constant of gearbox mechanical reduction ratio and absolute physical rotation radius of track drive wheel) pre-stored in non-volatile memory. The microprocessor calls the preset algebraic calculation model in non-volatile memory to convert the acquired motor rotation electrical parameters into physical state quantities reflecting the actual material dragging capability. This model is specifically described as follows: ;

[0049] in The linear velocity state quantity characterizing the extracted transmission unit has the physical dimension of meters per second (m / s). In this preferred embodiment, the quantitative control benchmark for its operation is set within the range of [0.05, 0.15] m / s. The original feedback value of the rotor frequency register extracted in real time from the edge node is represented by the physical dimension Hertz (Hz), and the preferred range in this embodiment is [10,50]Hz; R represents the absolute physical radius of rotation of the track drive wheel, and the physical dimension is meter (m), and the preferred value in this embodiment is 0.15m; p represents the number of pole pairs of the variable frequency reducer drive motor, and the preferred value in this embodiment is 2; The static constant representing the mechanical reduction ratio of the gearbox is preferably 30 in this embodiment. In practical applications, this embodiment can be flexibly configured according to production line specifications.

[0050] The third sensing link is represented by thermal feature extraction. The microprocessor sends high-frequency polling read signals to the non-contact infrared temperature measurement matrix set up at the physical entrance and exit of the sterilization zone via Ethernet bus to obtain multi-dimensional raw infrared thermal imaging thermal field matrix data characterizing the outer surface of the thick-layer mushroom bag. In this embodiment, a preset region of interest spatial filtering mask is used to extract the effective temperature pixel subset within the core heated projection surface of the mushroom bag in the center of the transmission belt to prevent temperature measurement interference from local water droplet reflection or edge environment cold source / equipment casing heat radiation. The mean pooling filtering algorithm after removing the upper and lower limit abnormal extreme values ​​is applied to the effective temperature pixel subset to remove discrete environmental noise error points, thereby extracting the initial cold state extreme value of the outer surface of the thick-layer mushroom bag before it fully enters the high-frequency penetration sterilization zone and actually absorbs the background heat, which is recorded as the entry cold state extreme value. The unit is °C. Under cold operating conditions on a production line, its effective measurement point value falls within the range of 20°C to 25°C. It is adaptively adjusted according to specific environmental issues. Corresponding spatial filtering and thermal field mapping stripping are performed to extract the highest thermal extreme value accumulated on the outer surface at the moment of exiting the microwave radiation field, which is recorded as the exit zone thermal extreme value. The dimension is ℃.

[0051] The microprocessor calls the arithmetic logic unit to perform an algebraic difference operation based on the two infrared extrema mentioned above. It directly subtracts the cold-state extrema of the entry zone from the hot-state extrema of the exit zone to calculate and generate the surface temperature gradient between the high-frequency penetration sterilization zone and the exit zone, denoted as... This characterizes the net thermodynamic temperature rise of the surface culture medium of the thick-layered incubator bag during its entire cycle of traversing a microwave radiation alternating field, due to the absorption of high-frequency energy. The physical dimension is uniformly expressed in degrees Celsius (°C). In this embodiment, the temperature gradient fluctuation range under sterilization conditions is preset to [40, 65]°C. The above standard logic is expressed as follows: ;

[0052] The fourth sensing link represents electromagnetic feature extraction: the microprocessor, through the RS-485 control board communication interface of the RF generator unit, synchronously reads its currently set real-time transmission power at high frequency, denoted as... It represents the absolute value of the rated total energy output of the high-frequency electromagnetic field radiated by the magnetron into the internal space of the sterilization zone, with the physical dimension of kilowatts (kW). In this preferred embodiment, it is locked within the hardware range of [15, 200] kW depending on the equipment load. Simultaneously, a bidirectional directional coupler assembly is deployed in series inside the microwave energy transmission waveguide of the radio frequency generation unit. When the high-frequency electromagnetic wave enters the water-containing bacterial bag, and due to dielectric impedance mismatch, refraction and reflection occur, causing the physical microwave energy to bounce back towards the magnetron, the reflection coupling end of the bidirectional directional coupler assembly extracts this high-frequency repulsive energy through a detector diode network and assigns it to the A / D conversion chip of the control board for quantization and encoding. This generates the real-time reflected power characterizing the returned ionized energy, denoted as . The physical unit is kilowatt (kW). As an example of the matching state, the noise floor boundary of this parameter is defined in [0.5, 1.2] kW.

[0053] The microprocessor continuously extracts the real-time reflected power generated after physical detection and conversion through the RS-485 control board communication interface at the device's underlying level. The system carries a hexadecimal communication data stream. It also sets a time-domain moving average filtering window (preferably configured with a window length of 5 to 10 physical sampling beats) in its internal storage register. After sequentially feeding the discrete sampling sequence into the moving window for smoothing and noise reduction, it continuously pushes it into a circular buffer storage queue according to the absolute timestamp assigned by the system hardware clock. Based on the continuous discrete power point matrix in this queue, the microprocessor reassembles and generates a transient reflected power waveform in the time domain, denoted as... It characterizes the time-energy repulsion physical evolution trajectory of the water-containing matrix inside the thick substrate bag in the microwave alternating field due to the dipole polarization friction and deep vaporization of water molecules, which causes a cliff-like change in the effective dielectric constant in the space, thereby triggering a severe mismatch in electromagnetic impedance. The physical dimension is kilowatt (kW).

[0054] Furthermore, after extracting information from the above four sensing links, this embodiment triggers the execution of the same-source alignment logic:

[0055] The microprocessor reads the preset system reference sampling clock cycle from the A / D converter, denoted as This parameter characterizes the physical refresh time step of the system's cyclic capture of sensor data frames, with the unit being seconds (s). In this embodiment, to match the response frequency of the variable frequency reducer, its corresponding value range is limited to [0.02, 0.10] s, with a preferred value configuration of 0.05 s.

[0056] The microprocessor extracts the linear velocity state variables acquired in the preceding sequence. The microprocessor initiates timing tracking in the continuous discrete time dimension. Specifically, it multiplies the transient translational velocity captured at the moment of the i-th sampling beat with the sampling period step size to extract the mechanical micro-element displacement of a single cycle. Then, by performing a timing accumulation and summation operation on k consecutive cycles triggered from the origin, it derives the absolute mechanical travel distance of the physical conveyor belt's cumulative backward drag. The microprocessor represents the accumulation result as physical displacement data, denoted as . The dimension is meter (m). The standard arithmetic mapping equation for this spatial solution step is explained as follows: The iteration index parameters i and k are both positive integers, representing the absolute sampling serial numbers of the transient capture node and the accumulation time, respectively.

[0057] This embodiment uses calculated physical displacement data. Using pointers as primary keys, a circular queue representing the physical displacement feature record sequence is set up and constructed in memory. The position coordinates discretely arrived due to asynchronous sampling are extracted along the time dimension. Surface temperature gradient With transient reflected power waveform Each data packet carries its own underlying time stamp. By extracting the underlying time stamps carried by each multidimensional sensor value, and combining them with the dynamic displacement mapping relationship of the conveyor belt derived from the physical displacement data, multidimensional sensor values ​​belonging to different historical moments but pointing to the same thick-layer mushroom bag entity in absolute physical space are correlated to the unique corresponding spatial coordinate data node; this eliminates the time domain offset caused by asynchronous sampling of heterogeneous sensors.

[0058] In this embodiment, the linear velocity state quantity of the transmission unit and the surface temperature gradient are combined to perform time-series cumulative integration to construct a thermal evolution mapping sequence; the internal boiling state characteristics are extracted based on the waveform abrupt extreme value of the transient reflected power waveform, and the time axis of the internal boiling state characteristics is aligned to the thermal evolution mapping sequence to perform calculation deviation calibration; and the central heating compliance index is generated based on the preset cross-weighted evaluation model.

[0059] Further execution of step two involves combining spatiotemporal state calculations with dual-track temporal cumulative integration deduction; this is used to quantify and deduce the actual physical evolution state of thermal sterilization and nutrient degradation within the matrix based on surface-sensing parameters. The microprocessor executes the calculation of the fundamental physical boundaries and subsequently performs parallel dual-track integration, specifically including:

[0060] The logic for calculating the physical boundary of the heated residence time-space is set up. It extracts the effective physical radiation length of the high-frequency penetrating sterilization zone by initiating a call signal to the hardware configuration file, denoted as... Its characterization represents the absolute longitudinal spatial span of the alternating electromagnetic field channel, completely enclosed by a Teflon anti-interference conveyor belt and a metal shielding mesh, in the mechanical conveying direction of the assembly line, with the dimension of meters (m). In this embodiment, based on the design specifications of standard industrial high-power cavities, it is preferably determined within the range of 3 to 10 meters. The linear velocity state of the transmission unit, which has been continuously updated in the previous steps, is invoked. Activate the internal arithmetic division operator, divide the physical length by the current transient translation rate, and calculate the effective dwell time, denoted as . It characterizes the absolute upper limit of the thermal lifespan of an independent bacterial bag from insertion into the radio frequency field until it is completely exposed to the heating environment and accumulates electromagnetic energy, with the physical dimension being seconds (s). The corresponding standard kinematic boundary derivation logic is as follows: ;

[0061] Thermodynamic dual-track time-series cumulative integral mapping logic is set up, which retrieves two sets of key biochemical evaluation constant models pre-fitted during the offline experimental phase from the system's non-volatile memory after obtaining the heating time reference.

[0062] A "preset sterilization benchmark curve" is used to characterize the killing rate of pathogenic bacteria, and a "thermally sensitive component degradation benchmark curve" is used to characterize the carbonization and destruction rate of beneficial polysaccharides. Two preset dimensional normalization operators are retrieved from non-volatile memory and loaded into the current arithmetic logic unit as the base for integral mapping: The working segment of the aforementioned sterilization benchmark curve within the conventional sterilization temperature range (e.g., 70℃-100℃) is pre-extracted, and a first-order linearization dimensionality reduction approximation is performed on it to extract the average response slope of this working segment as the mapping base; based on this, one is constructed as a lethal heat effect normalization factor, denoted as... Its characterization, based on the current characteristics of lignocellulose culture media, calculates the weight of each unit Celsius temperature rise slope on the protein denaturation and degradation directly induced by deep-seated pathogens (such as Trichoderma spores), with dimensions of [missing information]. Based on the heat resistance limits of different edible fungi substrates, its value range is limited to [0.0025, 0.0045]. In this embodiment, the preferred preset value is 0.0035. The second is the nutrient carbonization loss normalization factor, denoted as... Its sensitivity constant, representing the irreversible dehydration and carbonization damage caused by the equally intense cumulative effect of high temperatures to beneficial polysaccharides and amino acid macromolecules in the matrix, has the same dimensions. The preferred preset value is 0.0012.

[0063] In this embodiment, due to hardware limitations—specifically, the inability to obtain continuous temperature measurement curves within the metal shielded cavity by only installing infrared matrices at the inlet and outlet—the microprocessor calculates the surface temperature gradient. The dimensionality reduction treats this as an equivalent static thermodynamic scalar that persists throughout the entire heating cycle. The surface temperature gradient is then directly extracted. With effective stay time It calls the internal arithmetic logic unit and performs time and temperature cumulative integration operations based on the aforementioned normalization operator, specifically based on the equivalent time-series cumulative calculation of the global time and temperature product:

[0064] Further, a positive sterilization simulation track is set up: combining the effective residence time with the surface temperature gradient when entering and exiting the high-frequency penetration sterilization zone, based on a preset sterilization qualification benchmark curve (introducing a lethal heat effect normalization factor). Perform a series of algebraic operations to calculate and generate a sterilization completion metric that characterizes the system's killing effect, denoted as... It represents the overall irreversible equivalent of damage caused by microwave radio frequency high-frequency polarization heat generation to the bacteria inside the bag. After the microprocessor performs the above multiplication operation, it further introduces an extreme value limiting operator to map the product result onto a dimensionless characteristic value in the closed interval [0,1]. When the product result is greater than or equal to 1, it is directly limited and latched to 1, where 1 represents the sterile safety baseline.

[0065] Further establish a negative nutrient loss projection trajectory: simultaneously normalize the surface temperature gradient, effective residence time, and nutrient carbonization loss factors. Perform a series of algebraic operations to calculate and generate a quantitative index for the loss of heat-sensitive components that characterizes the state of the material, denoted as . It represents the cumulative risk state value of beneficial nutrient structures undergoing thermodynamic degradation and activity collapse when subjected to dielectric heating, and is a dimensionless pure numerical parameter with a value between [0,1].

[0066] This embodiment calls the data merging and assembly protocol after the above dual-track parallel numerical calculations are completed, and quantifies the sterilization completion metrics that reflect positive process benefits. Quantitative indicators of the loss of thermosensitive components that reflect the negative cost of overheating Structured association and assembly are performed on a unified spatial coordinate primary key and timestamp scale, and the resulting thermal evolution mapping sequence is generated by merging and constructing.

[0067] The standard logic corresponding to the above dual-track deduction is as follows:

[0068] ;

[0069] ;

[0070] Step three involves internal physical phase change rigidity anti-shake verification and time axis alignment calibration. Because the density and moisture content inside the thick-layered mushroom bag are unevenly and discretely distributed, the heat transfer from the surface to the deeper layers and the microwave attenuation model will exhibit nonlinear distortion. This results in a lag bias in heat transfer calculations, where the integral result calculated based on the surface temperature meets sterilization conditions, but the actual temperature at the center does not. The microprocessor is further configured to capture the water vapor bubble clusters generated when the deeper moisture is heated by microwaves to the phase change temperature (e.g., 100°C) and vaporizes, causing a step-like decrease in the dielectric constant of the local physical space. This leads to impedance mismatch in the high-frequency alternating electromagnetic field, resulting in a nonlinear jump extreme value in the corresponding transient reflected power waveform. The microprocessor will use this as a core anchor point to cover the deviation.

[0071] Phase change thermal environment gating and preliminary screening of suspected extreme values: A call command is issued to the internal storage register to extract the surface moisture evaporation temperature range, denoted as... Its characterization is the thermal conductivity accumulated temperature range reached by the outer skin matrix before the internal deep-sea submerged part is to undergo complete tumbling and boiling under atmospheric pressure physical constraints. The dimension is degrees Celsius (°C), and this range is preset to [90, 95]°C.

[0072] The out-of-area hotspot values ​​will be updated in real time. The logic value is compared with the lower limit threshold of the heat conduction temperature range. If the comparison result shows that the extreme value of the thermal state does not reach the lower limit of the range, any fluctuation of the reflected waveform is directly ignored in the logic. Only when the surface temperature is detected to reach or exceed the lower limit threshold of the [90,95]℃ range (i.e., ≥90℃) will the logic verification validity flag in the high-active state be set in the state machine and triggered as a valid state.

[0073] Once the aforementioned validity flag is activated, the internal data reading logic is immediately activated to continuously read the transient reflection power waveform stored in the previous steps. In this embodiment, considering that the acquired transient reflected power waveform is essentially a discrete-time buffer queue stored in a circular buffer queue, the microprocessor calls a numerical differentiation algorithm based on backward difference to calculate the power slope represented by the discrete first derivative of the waveform data sequence. The logical expression of this discrete mapping logic is as follows:

[0074] ;

[0075] in The transient power derivative value corresponding to the k1th sampling node is represented by the physical dimension kilowatts per second (kW / s). and These represent the real-time reflected power values ​​in the circular buffer queue after filtering out background noise at the current time and the previous sampling time, respectively, with the physical dimension being kilowatts (kW). The adjacent discrete sampling time step of the radio frequency control board is characterized by its physical dimension of seconds (s), and the preferred value in this embodiment is 0.02s. When the moisture in the center of the thick substrate bag absorbs microwaves and reaches its boiling point to vaporize, the low dielectric constant of the water vapor will cause the microwaves to be reflected sharply. When it is found that the slope of the derivative suddenly spikes and exceeds the preset power derivative alarm amplitude, the point of occurrence is immediately extracted on the time coordinate axis and registered as the waveform abrupt change extreme value. The power derivative alarm amplitude serves as a benchmark for identifying definitive physical phase transitions globally. Its calibration mechanism is as follows: Under no-load or normal heating conditions, the microprocessor continuously captures the extreme values ​​of the background standing wave drift caused by the power supply pulsation of the magnetron high-frequency switching power supply. Based on this background noise multiplied by a preset proportional constant greater than 1 as a safety margin coefficient, the power derivative alarm amplitude is fixed within the physical boundary of 15kW / s to 22kW / s. If the value deviates from the lower limit of this set range, it will cause frequent triggering and misjudgment of conventional power grid harmonic glitches. If it is higher than the upper limit of this range, it will cause a slow response to the initial boiling feedback, leading to excessive carbonization.

[0076] Furthermore, due to instantaneous electrode arcing discharge in high-power magnetrons or minute deformation of the microwave resonant cavity, extremely short peaks in the first derivative can also be generated. If this pulse is directly used to determine that boiling has been achieved at the core, the control center will prematurely issue a resistance-cutting command before the safe lethal thermodynamic integral is met, thus increasing the risk of process failure due to a large number of residual pathogenic bacteria in the matrix core. This embodiment utilizes a secondary filtering defense based on energy area topology:

[0077] When the extreme value of the waveform change is successfully captured and its physical trigger time is registered, Then, the extreme value reset action is delayed, and instead... Starting from the coordinates, a directional backward cut is performed towards the future time dimension to delineate and extract the reflection mutation evolution period, denoted as . This represents a stable listening window set by the microprocessor to calmly observe whether the dielectric abrupt change can establish a coherent repulsion period necessary for the large-scale expansion of water vapor. Its physical absolute dimension is seconds (s). Based on the thermodynamic phase transition impedance feedback characteristics, it is preferably set within the range of [1.2, 2.5]. The system cache integrator is invoked to analyze the transient reflected power waveform of the original input. The reflection mutation evolution period just extracted For all physical discrete power sampling frames within the range, perform a time-series summation operation to extract and generate a continuous reflection power cumulative feature, denoted as . Its characterization, within the observation window after the identification of a suspected mutation, shows that due to the large-scale evaporation and vaporization of the matrix center, microwaves cannot be absorbed, resulting in a continuous, high-density rebound and repulsion of the actual electromagnetic wave energy area back to the magnetron radio frequency source. The physical absolute dimension is kilowatt-second (kW·s, the absolute unit of work is kilojoule kJ). The time-domain integral model corresponding to this physical verification principle is:

[0078] After obtaining the cumulative characteristic value of the continuous reflection power, the control group, which was solidified in the ROM by the offline test on the production line, is extracted and represented as the physical boiling waveform accumulation judgment benchmark, denoted as... Its characterization is the minimum cumulative reflected energy scale threshold that distinguishes between "local micro-cavity heat dissipation noise" and "global violent boiling phase transition fact". The dimension is kilowatt-second (kW·s). Based on the physical volume of the microwave cavity and the distribution characteristics of the matrix's limiting water content, the numerical range of its threshold is marked in the range of [6,10] kW·s. In this embodiment, the lower threshold threshold is set to 7.5 kW·s.

[0079] The cumulative characteristic of continuous reflection power calculated by real-time integration Criteria for cumulative determination of physical boiling waveform Perform numerical comparison; when a determination is made... At that time, the microprocessor directly latches the extreme value of the waveform change in the state control machine and identifies it as an internal boiling state characteristic.

[0080] Furthermore, after confirming that the internal boiling state characteristic has been triggered, the microprocessor immediately uses the physical trigger time corresponding to the extreme value of the initial waveform change of the internal boiling state characteristic (i.e., Using the primary key, backtracking is performed to extract the absolute time coordinate node when the internal boiling state feature is triggered, and the absolute time coordinate node is mapped to the corresponding historical time sequence node within the synchronously operating thermal evolution mapping sequence.

[0081] This embodiment is based on the premise that the large-area phase change and vaporization of water indicates that the temperature in this region has exceeded the absolute sterilization threshold of 100℃, and the extraction of this... The absolute timestamp of each moment is used as a time index to backtrack and retrieve the thermal evolution mapping sequence in memory. Based on the spatiotemporal homology established in the preceding sequence, the historical timeline node that perfectly matches this timestamp is located. After completing this structured timeline alignment, the system directly locates this historical timeline node and performs an extreme value reset operation on the sterilization completion metric index, which was originally in a low position due to the lag in heat transfer calculation in the thermal evolution mapping sequence. As a configuration example, the extreme value reset operation hard overwrites the value of the metric variable in the register at the corresponding timestamp to 1, representing the physical fact that local heating has reached the sterility safety baseline. By using this physical phase change spatiotemporal coordinate for overwriting, the lag deviation in surface-to-center heat transfer calculation based on the surface temperature gradient deduction of entering and exiting the high-frequency penetration sterilization zone is effectively reset. Based on the sterilization completion metric index after this phase change coordinate calibration and reset, and the thermal component loss metric index in another dimension of the sequence, the microprocessor inputs this set of two-dimensional game parameters into a pre-set cross-weighted evaluation model.

[0082] In this embodiment, when executing the cross-weighted evaluation model, two normalized weighting constants are defined: one is the positive sterilization confidence weight, denoted as... The rigid acceptance ratio of the characterization system for the sterilization efficiency after phase transition coordinate reset is limited to the range of [0.70, 0.90], with a preferred empirical value of 0.85 in this embodiment; the second is the nutrient carbonization penalty weight, denoted as... Its characterization system exerts negative game resistance on the risk of thermal loss, with an optimal empirical value of 0.15.

[0083] The microprocessor calls its internal arithmetic logic unit to perform cross-weighted algebraic operations: quantification of sterilization after calibration reset (denoted as...) Multiply by positive weight Subtract the quantitative index of heat-sensitive component loss. With penalty weight The product of and . Finally, a central heating compliance index, representing the quantified central thermal field value, is generated and output to the external control bus, denoted as . This is a final, dimensionless comprehensive score that characterizes the actual sterilization and nutrient retention status of the deepest, darkest area of ​​the current thick-layered substrate bag after eliminating heat transfer hysteresis and background noise errors. The standard logic corresponding to the above evaluation calculation is as follows: .

[0084] Furthermore, in order to verify the robustness of the microprocessor in eliminating false waveform extrema caused by transient high-voltage electrode arcing under the interference of high-power microwave stray environment in the pipeline, and capturing the real large-scale vaporization phase change in the center of the matrix to perform forced correction of heat transfer deviation, this embodiment extracts the radio frequency communication status bus record of the independent thick-layer bacterial bags traversing the entire cycle in the alternating electromagnetic field channel.

[0085] Table 1: Evolution of Transient Reflection Power Extreme Values, Secondary Anti-counterfeiting and Heat Transfer Hysteresis Overwriting Status Data

[0086]

[0087] In Table 1, during the initial low-heat accumulation phase at 14.22 seconds, the surface temperature rise fed back by the non-contact infrared thermometry matrix did not reach the lower limit of the gated interval. The microprocessor kept the verification flag in a shielded and locked state, directly discarding the background noise fluctuations. When the conveying cycle progressed to 22.50 seconds, the surface preheating had activated the effectiveness defense line. At this time, the power supply network of the RF generation unit experienced a momentary pulse discharge due to grid glitches, causing the calculated transient power derivative value to suddenly surge to 25kW / s, breaking through the 18kW / s alarm interception network. The microprocessor was then triggered, extracting a 1.5-second reflection mutation evolution period in the time domain and summing all waveform areas within this period. Because high-frequency spikes decay instantly at the nanosecond level, the calculated cumulative characteristic value of continuous reflection power is only 3.2 kW·s, which does not reach the phase transition baseline of 7.5 kW·s. The control center therefore determines that this slope abrupt change is due to hardware noise interference, blocking the extreme value overwrite logic to prevent the biochemical calculation model from being abnormally pulled to a high level due to environmental noise. With the deep penetration of heat, at the 45.80-second mark, a large-scale, violent liquid-gas phase transition occurs deep within the bacterial bag, causing a precipitous mismatch in microwave impedance. The derivative slope jumps to 35 kW / s, triggering monitoring again. At this time, due to the continuous phase transition expansion within the matrix, high-frequency energy is continuously repelled from the echo guide tube. The microprocessor integrates and calculates that the cumulative characteristic value of continuous reflection power reaches 9.1 kW·s, exceeding the determined energy baseline. Based on this, the microprocessor confirms that the center has indeed boiled and immediately traces back to that time stamp, quantifying the sterilization completion metric, which was originally calculated to 0.89 due to a deep lag caused by relying on the outer skin temperature difference. The hardware register memory overwrite refresh is set to 1.

[0088] Furthermore, the central heating standard is compared with the safe sterilization threshold of the substrate before inoculation. If the safe sterilization threshold is not met and the heat evolution mapping sequence is determined to have reached the heat-sensitive component loss limit threshold, a microwave transmission blocking command is sent to the radio frequency generation unit. The radio frequency heat dissipation temperature parameter of the radio frequency generation unit is extracted and a heat medium flow switching command is output to the heat distribution execution component to use the recovered heat medium to perform constant temperature maturation on the thick material bags. After the maturation is qualified, the cold air circulation is started to perform physical rapid cooling.

[0089] Step four involves microwave asymmetric blocking intervention based on dual-track threshold game theory. In response to the physical contradiction that easily arises between "ensuring that the central dead corner meets the safe lethal thermodynamic integral" and "avoiding the overheating and carbonization degradation of the surface nutrient medium" in thick substrate bags, the microprocessor performs a two-dimensional physical red line cross-judgment in this step.

[0090] This embodiment extracts two process calibration constants derived from the statistical boundaries of historical data during the offline calibration phase by initiating a query signal to the non-volatile memory at the back end of the industrial bus. Specifically, multiple sets of thick-material bacterial bag test samples containing different microwave radiation durations are pre-acquired; for the safe sterilization index, the critical thermodynamic lethal integral when the concentration of residual pathogens in the test set is below the safety threshold is extracted, and an extreme value pooling strategy is used to calibrate it as the safe sterilization threshold, denoted as . Regarding the quantitative index of thermosensitive component loss, this embodiment extracts the chromaticity distribution data of the offline test sample surface using a photoelectric colorimeter. It then extracts the historical heating duration and extreme values ​​of the surface temperature state when the apparent browning index (e.g., the threshold for approximating carbon blackness based on the comprehensive color difference in the Lab* color space) exceeds a preset tolerance. Subsequently, this set of critical time and temperature parameters is substituted into the aforementioned thermosensitive component degradation integral derivation logic for equivalent conversion, and the corresponding dimensionless lethal integral value is calculated as the thermal equivalent physical inflection point. This value is then calibrated as the thermosensitive component loss limit threshold, denoted as... .

[0091] The safe sterilization threshold characterizes the lower limit of absolute lethality of competing bacteria to an irreversible state, and is a dimensionless parameter. In this embodiment, the preferred range based on the difference in matrix density is [0.95, 0.99], with a preferred value of 0.98. The heat-sensitive component loss limit threshold characterizes the highest tolerance scale of the nutrient skeleton in the matrix when it is on the verge of dielectric carbonization collapse. In this embodiment, the preferred range is [0.82, 0.88], with a preferred value of 0.85.

[0092] The microprocessor calls the logic comparator array to determine the central heating target set by the preceding steps. With safe sterilization threshold Perform difference comparison; in parallel, quantify the loss index of the heat-sensitive component in the thermal evolution mapping sequence. With the loss limit threshold of the heat-sensitive component Perform an out-of-limit check. If the microprocessor determines that the current... But simultaneously detected This indicates that there are still surviving bacteria in the deeper layers of the matrix, but the surface nutrient medium has not yet reached the scorch mark and still has physical redundancy to withstand thermal bombardment. At this point, dynamic logical branch scheduling based on device boundary constraints is executed through the closed-loop peripheral interface:

[0093] Specifically, the linear velocity state of the current transmission unit is extracted and compared with a preset stall lower limit threshold (e.g., 0.05 m / s). If the current linear velocity is determined to be higher than the stall lower limit threshold and there is room for deceleration, the microprocessor prioritizes issuing a deceleration command to the variable frequency reducer driving the chassis tracks. Specifically, the preset linear velocity negative feedback proportional conversion logic is invoked to calculate the target control quantity. ;

[0094] in The calculated target linear velocity is represented by meters per second (m / s). The linear velocity compensation ratio coefficient represents the reduction in absolute track translation speed required for each missing unit of dimensionless lethal integral. Its physical dimension is meters per second (m / s). In this embodiment, the preferred range is [0.1, 0.5] m / s, and the preferred value is 0.2 m / s.

[0095] On the other hand, if it is determined that the current linear velocity is approaching or equal to the stall lower limit threshold, to prevent the physical track from jamming and stopping, the microprocessor triggers a logic switching mechanism, specifically sending a power compensation command directly to the IGBT power motherboard of the RF generation unit. In this embodiment, the microprocessor calls the preset transmit power positive feedback ratio conversion logic:

[0096] ;

[0097] in The calculated target transmission power is represented by the physical dimension kilowatt (kW). Characterizes the current real-time transmit power of the radio frequency generator unit, with the physical dimension of kilowatt (kW). The RF power compensation ratio coefficient represents the instantaneous increase in magnetron radiative heat equivalent load required for each missing unit of dimensionless lethal integral. Its physical dimension is kilowatt (kW). In this embodiment, the preferred range is [10,50] kW, and the preferred value is 30 kW.

[0098] Further define the microwave emission blocking command for preventing carbonization in edge conditions; this embodiment is prone to deadlock when dealing with large-sized, abnormally thick mushroom bags with variable moisture content. High-frequency monitoring by the microprocessor detects a highly dangerous combination of conditions: the central heating index of the current independent mushroom bag still does not meet the safe sterilization threshold. However, at this time, the quantitative index of the loss of its internal heat-sensitive components... However, it has already been determined that the temperature has risen to a level greater than or equal to the thermal component loss limit threshold. This state indicates a failure of the conventional heating path. If microwave output continues blindly, the substrate will carbonize and become unusable. Based on the combined logical state judgment result of the central heating compliance index and the thermal component loss quantification index, the microprocessor triggers a latching operation in the control logic unit to block the communication of the speed-down command and power compensation command. Simultaneously, the microprocessor directly sends a microwave transmission blocking command to the solid-state contactor control terminal of the RF generation unit. This microwave transmission blocking command drives the solid-state contactor inside the RF generation unit to perform an RF power supply cut-off operation, interrupting the injection of high-frequency polarization energy into the thick-layered mushroom bag by microwaves, thereby preventing overall dielectric carbonization failure of the substrate under the thermal component loss limit condition.

[0099] In this embodiment, in order to verify whether the microprocessor can break through the mechanical execution logic that leads to the overall burning and carbonization of materials due to the discrete moisture content of thick-layer mushroom bags or the distortion of the density of the compressed blocks, a flexible defense and blocking intervention is implemented through two-dimensional threshold cross-validation. The system deliberately intersperses mushroom bags with different physical impedance distributions and initial moisture gradients during continuous feeding and captures the real-time intervention actions issued by the control bus at high frequency.

[0100] Table 2: Control Link Switching and Asymmetric Intervention Scheduling under Dual-Track Game Theory

[0101]

[0102] The data snapshot recorded in Table 2 for sequence "#001" reflects that, after cross-comparison, the microprocessor determined that the current central lethal equivalent was 0.10 short of the safety red line of 0.98. Simultaneously, the carbonization rate of the lignocellulose inside the bag was calculated to be only 0.55, leaving ample room for physical collapse. Therefore, the microprocessor prioritized extracting the current linear velocity. Assuming there was a deceleration buffer, it substituted the difference parameter into the linear velocity negative feedback proportional algorithm, directly driving the servo inverter to proportionally reduce the translation speed to 0.08 m / s, thus offsetting the thermal energy deficit by physically extending the residence time in the alternating field. When the track faced the biochemical gap of sequence "#002," because the hardware linear velocity had been compressed to the 0.05 m / s warning edge to prevent physical material accumulation, the logic gating in the control state machine blocked the deceleration transmission channel, and the command emitter released 122.4 kW of radiant energy for forced penetration. When the physical aberration of sequence "#003" was detected, its central heat-affected index remained at the 0.92 percentile, which was considered unacceptable. However, the quantitative index of the loss of heat-sensitive components accumulated in the epidermis was significantly lower. However, it exceeded the limit and rose to 0.86. The microprocessor logic controller directly shielded the above-mentioned conventional translation speed reduction and power compensation operation logic, bypassed the closed-loop correction circuit, and cut off the power supply of the RF equipment through the hardware interface.

[0103] Further, step five involves cross-process waste heat recovery and dynamic maturation linkage based on absolute energy deviation. After the microwave power supply was forcibly interrupted, semi-finished mushroom bags with "incomplete sterilization dead zones" were left on the production line. To bridge this biochemical deficiency, this embodiment smoothly transfers the task interrupted at the front end to the maturation chamber at the rear end of the production line, and uses the "physical waste heat" emitted by the high-power radio frequency module during operation to perform heat conduction relay.

[0104] In this embodiment, throughout the entire operating cycle of the high-power RF generator unit, the microprocessor extracts the surface temperature of the RF generator unit at high frequency as an RF heat dissipation temperature parameter using a PT100 temperature probe deployed on the wall of the magnetron water-cooling jacket. This temperature is denoted as... It represents the low-grade by-product waste heat that overflows into the external space when microwave components perform electromagnetic conversion, and its dimension is degrees Celsius (°C). The microprocessor outputs a pulse width modulation (PWM) signal based on the radio frequency heat dissipation temperature parameter to dynamically adjust the coolant pumping component (such as a variable frequency circulating water pump) to continuously pump the initial refrigerant at a preset temperature (calculated based on the heat exchange efficiency of the evaporator end of the heat pump unit, with its value range limited to [10,20]°C, such as 15°C in this embodiment) into the radio frequency water jacket to absorb waste heat. The heated refrigerant flows back to the waste heat pumping heat exchange unit (such as the evaporator end of a cascade air source heat pump unit) at the end of the pipeline. Within this unit, low-grade waste heat is pumped across domains by the compressor and released into a high-temperature heat storage tank at the condensing end, thereby converting the refrigerant into a high-temperature heat medium that meets the preset target temperature (based on the upper limit of the compression ratio of the cascade air source heat pump unit and the thermal balance requirements of the downstream curing chamber, its value range is limited to [85,95]℃, such as 90℃ in this embodiment), forming a standby heat energy resource pool.

[0105] When the thick-layer mushroom bags that have triggered the RF power supply cutoff operation are continuously moved to the execution area of ​​the physical curing chamber via the conveyor line of the transmission unit, the microprocessor triggers the dynamic logic mapping sequence preset in the control bus based on the hardware state change timestamp, and retrieves the fluid dynamics flow coefficient and thermal penetration clock factor to perform a thermal compensation calculation task based on the sterilization thermal compensation deviation. When the hardware interrupt controller issues a microwave transmission blocking action, the microprocessor synchronously persists a field snapshot data sequence containing a high-precision global clock timestamp to the system abnormal interrupt log in non-volatile memory. When the batch of thick-layer mushroom bags is conveyed to the entrance of the physical curing chamber via the transmission unit, triggering the cross-process thermal energy scheduling module, the microprocessor performs a search and matching in the system abnormal interrupt log using the timestamp of the aforementioned RF power supply cutoff operation as the primary key, retrieves the transiently extracted center heating compliance index that does not meet the safe sterilization threshold from the field snapshot data, extracts it as a power-off defective state value, and records it as... Its characterization is based on the absolute sterilization efficacy of the matrix core area, which has accumulated but still has hidden dangers due to the instantaneous interruption of the microwave polarization heating stage by the asymmetric defense mechanism.

[0106] The microprocessor calls its internal arithmetic subtractor core to determine the safe sterilization threshold, which represents the system's bottom line in manufacturing processes. Load the minuend register and extract the power-off residual status value from the exception interrupt log. Load the subtraction register and perform arithmetic-algebraic difference calculation. By extracting the hard gap between the two in normalized dimensions, it is deduced that the lethal integral blind zone that the surviving bags rely on to compensate for by the heat energy relay through the back-end physical constant temperature heat conduction method to eliminate deep heat-resistant bacteria after leaving the high-frequency microwave field.

[0107] The microprocessor outputs the result of this difference calculation as the sterilization thermal deviation to be compensated, denoted as... It is a dimensionless, purely numerical characteristic. The derivation logic of the sterilization thermal deviation to be compensated is expressed as follows: ;

[0108] The microprocessor synchronously acquires multi-point temperature parameters in real time through a thermocouple array deployed within the curing chamber, denoted as... It characterizes the actual fluid thermodynamic baseline feedback state of multiple spatial nodes inside the curing chamber, with the physical dimension in degrees Celsius (°C), and the target temperature is maintained at 85°C ± 0.5°C. The sterilization thermal deviation to be compensated is... The input is fed into the fluid thermodynamics mapping model embedded in the ROM. This mapping model is pre-initialized in the configuration library with loaded fluid dynamics flow coefficients, denoted as... It characterizes the inherent mechanical flow physical property constant of the selected electric proportional control valve, that is, the required valve core swing cross-sectional area compensation ratio corresponding to each unit of thermal deviation, with the dimension of percentage (%). This parameter is preset in the system ROM read-only memory, and its value range is calibrated in [1.5, 4] according to different valve bodies. In this embodiment, its preferred empirical value is configured as 2.5%; and the thermal penetration clock factor is denoted as This parameter characterizes the time delay constant calculated from the thermal conductivity and heat capacity of the current lignocellulose substrate, i.e., the physical duration of hot air blowing maintained by using an external uniform temperature environment to compensate for the lethal integral gap of a single unit, measured in minutes (min). Based on the penetration resistance of large-sized, thick substrate bags, the optimal setting value is 45 min.

[0109] Furthermore, this embodiment sets up a spatiotemporal dual-track decoupling mechanism: by mapping the entire amount of sterilization thermal deviation to be compensated to a compensation benchmark in the time domain, and using a thermal penetration clock factor to directly linearly algebraically convert it into a target isothermal curing time to limit the total compensation cycle; simultaneously, the initial thermal step difference of the deviation is extracted in the spatial fluid dimension as a feedforward benchmark, and the target valve opening for establishing the initial thermal circulation environment is calculated by combining the fluid dynamics flow coefficient. Through this decoupling mapping, the coupling interference between time and flow is removed, and the target valve opening and target isothermal curing time for controlling the thermal distribution execution component are calculated; based on this decoupled feedforward calculation, multi-point temperature parameters are further combined. The real-time feedback error is used to perform dynamic closed-loop fine-tuning of the PID controller, and the two control parameters mentioned above are ultimately used as the execution benchmark: the sterilization thermal deviation to be compensated is extracted from the previously calculated sterilization thermal deviation in the spatial control dimension. And call the configured fluid dynamics flow coefficient The arithmetic product mapping operation is performed. Through this proportional scaling mechanism, the mechanical flow cross-sectional area ratio reached by the heat distribution execution component (representing the electric proportional control valve) to release the corresponding heat to match the current biochemical heat gap is calculated.

[0110] The microprocessor extracts the result of this calculation as the initial feedforward valve opening, denoted as... The physical dimension is percentage (%), which represents the proportion of the theoretically based heat medium flow cross-sectional area calculated to address the biochemical energy gap, thereby establishing the initial intervention intensity for hot air delivery. Simultaneously, the real-time temperature error between the set target ripening temperature and the real-time collected multi-point temperature parameters is continuously calculated; based on this temperature error, a preset discrete position PID control algorithm is invoked, inputting it into a control function composed of proportional gain, integral gain, and derivative gain to perform closed-loop calculation, thereby calculating the dynamic feedback compensation valve width, denoted as . The specific expression for this closed-loop solution logic is as follows:

[0111] ;

[0112] in and These represent the real-time temperature error between the current k2-th control cycle and the previous control cycle. It is defined as the set target ripening temperature (e.g., 85℃) minus the real-time collected multi-point temperature parameters, with the physical dimension being degrees Celsius (℃). The proportional gain factor is characterized in this embodiment, and its preferred range is [1.5, 3.5], with a preferred value of 2. The integral gain factor is characterized by a preferred range of [0.1, 0.5] in this embodiment, with a preferred value of 0.2. The differential gain factor is characterized in this embodiment, preferably within the range of [0.5, 1.5], with a preferred value of 0.8. All three gain factors are dimensionless conversion coefficients designed to map heterogeneous temperature and thermodynamic deviations to the actuator's mechanical opening compensation ratio.

[0113] The static feedforward base opening is then integrated with the dynamic feedback compensation valve width. The final control mapping solution logic for this action is as follows: The target valve opening is generated as the final output, denoted as... In the servo logic, the absolute value is limited to [0,100]% of the effective stroke boundary of the physical valve core, thereby issuing safe dynamic control commands.

[0114] This embodiment addresses the sterilization thermal deviation to be compensated in the time control dimension. With the retrieved thermal permeation clock factor Perform a time-domain product mapping operation. This transforms the dimensionless biochemical lethality integral gap into the thermal infiltration physical aging of the batch of defective, thick-layered mycelium bags under constant hot air exposure in the rear curing chamber. The microprocessor outputs the calculated absolute time width as the target isothermal curing time, denoted as . The physical unit is minutes (min), and it is sent to the countdown state machine as the cutoff scale for the isothermal homogenization operation. The upper limit of its calculation time is constrained to within 480 minutes. The derivation logic of this time-domain mapping is as follows: Based on the target valve opening and the target uniform temperature curing time, a dynamic control command for the heating medium compensation opening is sent to the heat distribution execution component as a heat medium flow direction switching command. Upon receiving this command, the electric proportional control valve drives the valve core to rotate to the designated position. The angle involves releasing high-temperature heat medium, which, in conjunction with a circulating fan, blows hot air onto the thick-layered mushroom bags. The recovered heat medium is then used to perform a matching target temperature equalization and maturation time on the thick-layered mushroom bags that have not yet met the safe sterilization threshold. The constant temperature and uniform heating operation is compensated by physical heat conduction. The sterilization thermal deviation to be compensated is characterized.

[0115] To further verify how the multidimensional control bus directly transforms the biochemical gap left over from the emergency microwave polarization action into the mechanical action of the specific damper in the curing chamber and the reciprocal of the thermal maintenance after the emergency microwave polarization action, this embodiment extracts the fluid dynamic driving parameter sequence of three batches of defective thick-layer mushroom bags that have undergone fusion protection treatment and flowed continuously into the back end of the production line during the handover transition period.

[0116] Table 3: Summary Table of Spatiotemporal Decoupling Parameter Mapping for Pure Physical Curing Heat Medium Relay Compensation

[0117]

[0118] In Table 3, when the first batch of surviving bacterial bags carrying a power-off residual state value of 0.96 are displaced to the entrance of the physical ripening execution interval, the microprocessor derives two normalized dimensionless gap reference quantities by subtracting the snapshot base value from the target threshold. This time domain is multiplied by the corresponding clock factor, and the target uniform temperature ripening duration of 90 minutes is overwritten into the lower-level countdown timer state machine. In the spatial dimension, the arithmetic logic unit retrieves 2.5% of the mechanical fluid regulation constant and performs a multiplication mapping to calculate a 5% heat medium physical flow duty cycle as the initial release benchmark. During this period, because multiple thermocouples detect that the physical bulkhead is in a cold state, the PID superimposed unit automatically substitutes a 0.6% compensation displacement, instructing the electric proportional control valve to finally lock at the 5.6% swing position to continuously release the recovered waste heat. When the conveyor line slides into a bag with a depth of 7 units of backlog, the microprocessor calculates a blowing penalty time of 315 minutes. However, when pushing the basic throughput opening of 17.5% to the peripheral valve servo, given that the real-time multi-point temperature parameters are showing an overshoot trend due to the thermal inertia of the confined space, the control center cuts off 1.2% of the integral overflow opening based on continuous error feedback, ultimately outputting a constant valve position of 16.3%. For the case of a regular bag that has already accumulated to the maximum safety limit entering the chamber, the microprocessor's subtractor outputs an absolute zero deviation, clears all feedforward flow parameters, and then issues a three-way reversing command to cut off the high-temperature pipeline, directly entering the cold air convection quenching stage.

[0119] Further execution includes clock finality determination and physical rapid cooling to prevent contamination output; the timer inside the microprocessor determines the average temperature curing time of the aforementioned targets. When the countdown reaches zero (indicating that the physical maturation has met the standards), to prevent the secondary germination of potential bacteria such as thermophilic Bacillus caused by natural slow cooling (e.g., in the 30℃-50℃ range), a three-way reversing command is triggered on the pipeline control array. This command drives the three-way valve to cut off the heating circuit of the high-temperature heat medium and simultaneously opens the cold water exchange unit circuit (this circuit is rigidly connected to the central refrigeration unit or independent air-cooled heat pump chilled water main pipeline of the edible fungus factory through a flange network to obtain industrial refrigerant kept constant at 10℃-15℃), introducing the refrigerant into the surface cooler in the maturation chamber; in conjunction with the in-chamber fan, after maturation meets the standards, the cold air circulation is started to perform physical rapid cooling to cut off the conditions for the reproduction of heat-resistant bacteria.

[0120] In this embodiment, under the condition of starting cold air circulation for convective heat exchange, the physical environment temperature inside the curing chamber and the core temperature of the thick material bag are reduced to the inoculation environment temperature range of 20℃-25℃ within a preset condensation and cooling time (based on the ratio of the cooling output power of the central refrigeration unit to the air volume of the heat exchanger, the value range is limited to [1,3]h, and in this embodiment it is set to within 2 hours). The temperature boundary is used to cut off the regeneration environment of heat-resistant bacteria, and the sterile preparation matrix that has completed thermal sterilization and cooling treatment is output.

[0121] At the physical transport boundary, before entering this continuous sterilization system, the batch of thick-layer substrate bags is continuously transported to the conveyor line of the transmission unit by the automated bagging / cracking equipment at the front end. After the system completes the quenching operation and outputs the aseptically prepared substrate, the microprocessor links the downstream equipment bus, allowing the substrate to directly enter the liquid / solid inoculation equipment module at the back end via the conveyor line. In this subsequent module, the aseptically prepared substrate undergoes inoculation in an isolation chamber equipped with ultraviolet light and high-energy particle emission sources, and is then transferred to the constant temperature incubation room via the conveyor line.

[0122] Furthermore, Figure 1 The exhibition showcases a panoramic view of the continuous sterilization equipment built on a metal frame within the aseptic preparation workshop of a modern edible mushroom factory. Figure 1 Partial cross-sectional views were performed on some of the enclosed compartments; Figure 8 The system uses an intuitive technical flowchart to map the overall architecture of the control center, from multi-source heterogeneous data acquisition, feature alignment, cross-weighting judgment to end-point hardware and software collaborative blocking and cross-domain thermal energy transfer, showcasing the implementation of the system's closed-loop control logic.

[0123] Figure 1 The array of radio frequency generating modules, arranged in a three-dimensional, three-sided, sandwiched configuration (vertically downward at the top and obliquely aligned with the core at 110-degree angles on the left and right sides), not only constitutes the hardware carrier for high-frequency polarized microwave radiation but also supports its real-time operation. Figure 8 The logic flowchart outlines the boundary constraints for biochemical deduction operations such as "extraction and alignment of thermal evolution characteristics" and "cross-evaluation and compliance determination." The curing and quenching composite chamber cascaded at the rear of the tunnel module, along with the densely attached fluid circulation pipelines and multi-directional electric regulating valves along the bottom base and sides, constitute the execution objects for cross-process thermal energy scheduling in this system. When the control center determines, based on the process node "threshold game and asymmetric intervention," that the current state does not meet the safety limit and is about to exceed the thermosensitive carbonization red line, it will trigger a radio frequency hardware power-off command and immediately initiate the "cross-process waste heat curing and quenching" step through the aforementioned pipeline network and valves. This continuously pumps the extracted microwave heat dissipation waste heat into constant-temperature curing compensation and physical quenching power.

[0124] Figure 2The diagram illustrates how the intuitive mapping system front-end captures and integrates multi-dimensional heterogeneous data in a physical scenario. It shows how a sequence of photoelectric sensors deployed along the transmission path captures state trigger signals in real time and generates the position coordinates of the thick-layered mushroom bags based on a pre-set spatial grid matrix. Above the entrance and exit of the physical tunnel, non-contact devices are deployed to collect extreme temperature values ​​before and after entering and exiting the high-frequency penetration sterilization zone using a non-contact infrared temperature measurement matrix, generating the surface temperature gradient for entering and exiting the high-frequency penetration sterilization zone. Using the physical displacement data corresponding to the linear velocity state quantity of the transmission unit as the primary key, the asynchronously sampled position coordinates, the surface temperature gradient for entering and exiting the high-frequency penetration sterilization zone, and the transient reflected power waveform are anchored and correlated with the corresponding spatial coordinate data nodes in the virtual space in the time dimension.

[0125] Figure 3 This analysis dissects the physical execution of microwave blocking protection. Focusing on the high-frequency penetration sterilization zone, the diagram illustrates the extraction of internal boiling state characteristics based on the extreme value of waveform abrupt changes in transient reflected power. When the physical boundary of "the thermal evolution mapping sequence has reached the limit threshold of heat-sensitive component loss" is determined through calculation, a lockout is directly triggered in the control logic to prevent complete carbonization of nutrients, bypassing the conventional compensation stage. The diagram clearly shows the "execution of the operation of issuing a microwave transmission blocking command to the radio frequency generation unit," which, at the electrical and physical level, "triggers a radio frequency power supply cutoff operation to stop the heating physical action inside the thick-layered mushroom bag."

[0126] Figure 4 The backend of the mapping system features a pipeline structure that enables waste heat resource utilization and pollution prevention through the physical exchange of hot and cold air. The bottom of the diagram shows how the system uses a "waste heat pump to upgrade the heat exchanger unit" to convert the refrigerant, after absorbing waste heat, into a high-temperature heat medium. The pipeline extends to the rear physical curing and quenching composite chamber, clearly depicting the form of the "thermal distribution execution component." Upon receiving a "dynamic control command for heat medium compensation opening" calculated by the microprocessor based on the temperature difference, the regulating valve opens to utilize the recovered heat medium for "constant-temperature curing." After the curing time countdown reaches zero, the system's physical cascade action is activated. The diagram shows "triggering a three-way reversing command to cut off the heat medium's heating pipeline," and simultaneously "synchronously starting a cold air circulation to execute the physical quenching action," ultimately outputting a sterile preparation matrix that completes the sterilization closed loop.

[0127] Figure 5The X-axis represents the physical displacement sequence nodes of the thick-layered mushroom bag on the transmission unit, and the Y-axis represents the dimensionless comprehensive score (indicating the central heating standard or the quantitative index of heat-sensitive component loss) output by the control center in real time parallel calculation, as well as the absolute value of the radio frequency physical execution power corresponding to the corresponding command (indicating the target transmission power). Marker S1 represents the critical value of 0.98, which is the safe sterilization threshold to ensure complete inactivation of pathogenic bacteria; Marker L1 represents the highest tolerance scale of the internal nutrient skeleton of the matrix on the verge of dielectric carbonization collapse, i.e., the critical value of 0.85, which is the limit threshold of heat-sensitive component loss; Marker P1 represents the value of 122.4, which is the target transmission power output after dynamic boosting based on the positive feedback ratio of transmission power; and the visual state mark P0 reflects the value of 0, which is the physical execution extreme value achieved by the system issuing a microwave transmission blocking command in a locked-down state, based on logical deduction.

[0128] The evolution of the dual-track data line and the asymmetric feedback of the power bar chart intuitively reveal the anti-carbonization adaptive scheduling mechanism of the control center under extreme conditions. For the normal and near-stall conditions of sequences "#001" and "#002", the calculated data shows that the thermal component loss quantification index is stable below the thermal component loss limit threshold L1. Based on linear positive feedback, a target transmission power of 122.4kW, marked as P1, is calculated and output at sequence "#002" to fill the lethal integral gap. When transitioning to the sequence "#003" with discrete moisture content, the indicator of its central heating compliance rises to 0.92 (not yet reaching the safe sterilization threshold S1), but the synchronously output thermal component loss quantification index suddenly increases to 0.86, exceeding the thermal component loss limit threshold L1. Faced with this biochemical and physical contradiction, the control center directly issues a cut-off command to the solid-state contactor, causing the final execution action to return to zero as shown by P0.

[0129] Example 2:

[0130] A method for continuous high-frequency electromagnetic wave sterilization of edible mushroom bags, the method being used to execute the aforementioned continuous high-frequency electromagnetic wave sterilization system for edible mushroom bags, comprising:

[0131] Acquire multidimensional time-series sensing data of thick-layered bags loaded with lignocellulose culture medium on a conveyor line. The multidimensional time-series sensing data includes the linear velocity state of the transmission unit characterizing the movement rhythm, the surface temperature gradient entering and exiting the high-frequency penetration sterilization zone, and the transient reflection power waveform of the radio frequency generation unit.

[0132] Based on the waveform abrupt extreme value of the transient reflected power waveform, the internal boiling state characteristics are extracted. In parallel, the linear velocity state quantity of the transmission unit and the surface temperature gradient are combined to perform time-series cumulative integration to construct a thermal evolution mapping sequence.

[0133] Align the internal boiling state characteristic time axis to the thermal evolution mapping sequence to perform calculation deviation calibration, and generate the central heating compliance index based on the preset cross-weighted evaluation model.

[0134] The central heating standard is compared with the safe sterilization threshold of the substrate before inoculation. If the safe sterilization threshold is not met and it is determined that the heating evolution mapping sequence has reached the heat-sensitive component loss limit threshold, a microwave transmission blocking command is sent to the radio frequency generation unit.

[0135] The radio frequency heat dissipation temperature parameter of the radio frequency generation unit is extracted and output to the heat distribution execution component to switch the flow direction of the heat medium. The recovered heat medium is used to perform constant temperature curing on the thick material bag. After the curing reaches the standard, the cold air circulation is started to perform physical rapid cooling to cut off the breeding conditions of heat-resistant bacteria and output a sterile preparation substrate that meets the requirements of the inoculation process.

[0136] The computational logic involved in this application can be constructed using machine learning algorithms such as regression analysis to build mathematical models, and implemented using computational tools such as Python and R. To eliminate the influence of physical dimensions, the input parameters of each formula can be dimensionlessly processed using techniques such as maximum-minimum normalization or Z-score standardization. Those skilled in the art should understand that the embodiments of this application can be provided as methods, systems, or computer program products, and can be in the form of pure hardware, pure software, or a combination of hardware and software, and can be implemented on storage media (including but not limited to disks, optical disks, etc.) containing computer-usable program code.

[0137] This application is described with reference to relevant flowcharts and / or block diagrams. It should be understood that each flowchart / block and combination thereof in the flowcharts and / or block diagrams can be implemented by computer program instructions. These instructions can be stored in a computer-readable storage device or executed by a processor of a general-purpose computer, a special-purpose computer, or other programmable devices to achieve the functions specified in the figures. Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope thereof. If such modifications and variations fall within the protection scope of the claims of this application and their equivalents, this application is also intended to cover such modifications and variations.

Claims

1. A high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags, characterized in that, Includes a memory, a processor, and a computer program stored in the memory and running on the processor, the processor being configured to perform the following steps: Acquire multidimensional time-series sensing data of thick-layered bags loaded with lignocellulose culture medium on a conveyor line. The multidimensional time-series sensing data includes the linear velocity state of the transmission unit characterizing the movement rhythm, the surface temperature gradient entering and exiting the high-frequency penetration sterilization zone, and the transient reflection power waveform of the radio frequency generation unit. Based on the waveform abrupt extreme value of the transient reflected power waveform, the internal boiling state characteristics are extracted. In parallel, the linear velocity state quantity of the transmission unit and the surface temperature gradient are combined to perform time-series cumulative integration to construct a thermal evolution mapping sequence. Align the internal boiling state characteristic time axis to the thermal evolution mapping sequence to perform calculation deviation calibration, and generate the central heating compliance index based on the preset cross-weighted evaluation model. The central heating standard is compared with the safe sterilization threshold of the substrate before inoculation. If the safe sterilization threshold is not met and it is determined that the heating evolution mapping sequence has reached the heat-sensitive component loss limit threshold, a microwave transmission blocking command is sent to the radio frequency generation unit. The radio frequency heat dissipation temperature parameter of the radio frequency generation unit is extracted and output to the heat distribution execution component to switch the flow direction of the heat medium. The recovered heat medium is used to perform constant temperature curing on the thick material bag. After the curing reaches the standard, the cold air circulation is started to perform physical rapid cooling to cut off the breeding conditions of heat-resistant bacteria and output a sterile preparation substrate that meets the requirements of the inoculation process.

2. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 1, characterized in that: The steps for obtaining multidimensional time-series sensing data of thick-layered mycelium bags loaded with lignocellulose culture medium on a conveyor line specifically include: The state trigger signal is captured in real time by a sequence of photoelectric sensors deployed on the transmission path, and the position coordinates of the thick-layer mushroom bag are generated based on a preset spatial grid matrix mapping. A non-contact infrared thermometry matrix is ​​used to collect extreme temperature values ​​before and after entering and exiting the high-frequency penetration sterilization zone, so as to generate the surface temperature gradient of the high-frequency penetration sterilization zone. The linear velocity of the transmission unit is extracted from the edge nodes and used as the linear velocity state quantity of the transmission unit. The real-time transmit and reflect power of the radio frequency generation unit is collected as the transient reflective power waveform.

3. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 2, characterized in that: In the step of acquiring multidimensional time-series sensing data of thick-layered mycelium bags loaded with lignocellulose culture medium on the conveyor line, the processor is also configured to execute homogeneous alignment logic: Using the physical displacement data corresponding to the linear velocity state quantity of the transmission unit as the primary key, a physical displacement feature record sequence is constructed in the memory; In the time dimension, the asynchronously sampled position coordinates, the surface temperature gradient entering and exiting the high-frequency penetration sterilization zone, and the transient reflected power waveform are associated with the corresponding spatial coordinate data nodes based on the time label and the physical displacement data, so as to eliminate the time domain offset caused by heterogeneous sensor sampling.

4. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 1, characterized in that: The step of constructing a thermal evolution mapping sequence by performing time-series cumulative integration of the linear velocity state quantity of the transmission unit and the surface temperature gradient specifically includes: The physical movement time characterized by the linear velocity state quantity of the transmission unit is extracted, and the effective residence time of the thick-material mushroom bag in the high-frequency penetration sterilization zone is calculated. Combining the effective residence time with the surface temperature gradient of entering and exiting the high-frequency penetration sterilization zone, based on the preset sterilization qualification benchmark curve and the degradation benchmark curve of heat-sensitive components, a preset lethal heat effect normalization factor and nutrient carbonization loss normalization factor are introduced, and the corresponding time and temperature cumulative integral calculation is performed. Simultaneously calculate the sterilization completion quantification index characterizing the system's killing effect and the heat-sensitive component loss quantification index characterizing the material's state characteristics, and combine the two to construct the heat evolution mapping sequence.

5. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 4, characterized in that: The steps of extracting internal boiling state features based on the waveform abrupt extreme values ​​of the transient reflected power waveform, aligning the time axis of the internal boiling state features to the heating evolution mapping sequence to perform calculation deviation calibration, and generating central heating compliance indicators based on a preset cross-weighted evaluation model specifically include: The extreme values ​​of the thermal state at the exit of the high-frequency penetration sterilization zone are compared with the preset surface moisture evaporation temperature range to generate a logical verification validity identifier. Only when the logic verification validity flag is triggered to a valid state, the first derivative of the transient reflected power waveform is calculated, and the extreme points exceeding the preset power derivative alarm amplitude are extracted as the internal boiling state features. Using the occurrence time node of the internal boiling state characteristics as the time index, the corresponding historical time node is addressed in the heat evolution mapping sequence, and the extreme value reset action is performed on the sterilization completion quantification index under the historical time node to reset the surface to center heat transfer calculation lag deviation generated based on the surface temperature gradient deduction of entering and exiting the high frequency penetration sterilization zone. The quantified sterilization completion index and the quantified heat-sensitive component loss index after calibration and reset are input into a preset cross-weighted evaluation model to perform algebraic difference calculation, and the quantified center thermal field value is output as the center heating compliance index.

6. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 1, characterized in that: The step of comparing the central heating standard with the safe sterilization threshold of the substrate before inoculation specifically includes: If the central heating compliance index does not meet the safe sterilization threshold and it is determined that the heating evolution mapping sequence has not reached the heat-sensitive component loss limit threshold, based on the comparison result between the current linear velocity of the transmission unit and the preset stall lower limit threshold, a deceleration command is selectively generated to drive the transmission unit, or a power compensation command is generated to increase the transmission power of the radio frequency generation unit. If it is determined that the thermal evolution mapping sequence has reached the thermal component loss limit threshold, the deceleration command and the power compensation command are blocked in the control logic. The operation of sending a microwave transmission blocking command to the radio frequency generating unit triggers the radio frequency power supply cut-off operation of the radio frequency generating unit to stop the heating physical action inside the thick material bag.

7. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 6, characterized in that: The radio frequency heat dissipation temperature parameter of the radio frequency generation unit is extracted and a heat medium flow switching command is output to the heat distribution execution component to perform constant temperature maturation on the thick-layer inoculum bag using the recovered heat medium. After maturation reaches the standard, a cold air circulation is initiated to perform physical rapid cooling to cut off the conditions for the growth of heat-resistant bacteria, and a sterile preparation substrate that meets the requirements of the inoculation process is output, specifically including: The surface temperature of the radio frequency generating unit is extracted as the radio frequency heat dissipation temperature parameter to adjust the output refrigerant of the coolant pumping component, and the refrigerant after absorbing waste heat is converted into the heat medium with the set heat medium maturation temperature by the waste heat pump heat exchanger unit. After triggering the radio frequency power supply cut-off operation to stop the heating physical action in the thick material mushroom bag, the heating medium flow direction switching instruction is given to the heat distribution execution component based on the multi-point temperature parameters in the curing chamber and the heating medium compensation opening dynamic control instruction is used to perform a uniform temperature curing operation for a preset time on the thick material mushroom bag that has not yet met the safe sterilization threshold. After determining that the curing time has reached the standard, a three-way reversing command is triggered to cut off the heating pipeline of the heat medium, and a cold air circulation is simultaneously started to perform the physical quenching action to cut off the conditions for the reproduction of heat-resistant bacteria, and output a sterile preparation matrix that meets the requirements of the inoculation process.

8. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 1, characterized in that: The step of extracting internal boiling state characteristics based on the waveform abrupt extreme values ​​of the transient reflected power waveform specifically includes: Extract the reflection mutation evolution period extending backward in the time dimension from the extreme value of the waveform mutation; Perform a time-series accumulation operation on the transient reflection power waveform to extract the continuous reflection power accumulation feature of the transient reflection power waveform during the reflection mutation evolution period; The cumulative characteristic value of continuous reflection power is compared with the preset physical boiling waveform accumulation judgment benchmark. When the cumulative characteristic value of continuous reflection power is determined to be greater than or equal to the cumulative determination benchmark of physical boiling waveform, the corresponding extreme value of waveform mutation is confirmed as the internal boiling state characteristic.

9. The high-frequency electromagnetic wave continuous sterilization system for edible mushroom bags according to claim 1, characterized in that: The step of extracting the radio frequency heat dissipation temperature parameter of the radio frequency generation unit and outputting a heat medium flow switching command to the heat distribution execution component to perform constant temperature curing of the thick-layer mushroom bag using the recovered heat medium specifically includes: Obtain the central heating compliance index for those that do not meet the safe sterilization threshold; Calculate the numerical difference between the safe sterilization threshold and the central heating compliance index to generate the sterilization thermal deviation to be compensated. Based on the sterilization thermal deviation to be compensated, the target valve opening and target uniform temperature curing time for controlling the thermal distribution execution component are calculated by numerical mapping. Based on the target valve opening and the target uniform temperature curing time, and combined with the multi-point temperature parameters in the curing chamber, a closed-loop fine-tuning is performed, and a dynamic control command for the opening of the heat distribution execution component to compensate for the heating medium is sent to the heat distribution execution component, so as to use the recovered heat medium to perform constant temperature curing that matches the target uniform temperature curing time.

10. A method for continuous high-frequency electromagnetic wave sterilization of edible mushroom bags, characterized in that: The method is used to execute the high-frequency electromagnetic wave continuous sterilization system for edible fungus bags according to any one of claims 1-9, comprising: Acquire multidimensional time-series sensing data of thick-layered bags loaded with lignocellulose culture medium on a conveyor line. The multidimensional time-series sensing data includes the linear velocity state of the transmission unit characterizing the movement rhythm, the surface temperature gradient entering and exiting the high-frequency penetration sterilization zone, and the transient reflection power waveform of the radio frequency generation unit. Based on the waveform abrupt extreme value of the transient reflected power waveform, the internal boiling state characteristics are extracted. In parallel, the linear velocity state quantity of the transmission unit and the surface temperature gradient are combined to perform time-series cumulative integration to construct a thermal evolution mapping sequence. Align the internal boiling state characteristic time axis to the thermal evolution mapping sequence to perform calculation deviation calibration, and generate the central heating compliance index based on the preset cross-weighted evaluation model. The central heating standard is compared with the safe sterilization threshold of the substrate before inoculation. If the safe sterilization threshold is not met and it is determined that the heating evolution mapping sequence has reached the heat-sensitive component loss limit threshold, a microwave transmission blocking command is sent to the radio frequency generation unit. The radio frequency heat dissipation temperature parameter of the radio frequency generation unit is extracted and output to the heat distribution execution component to switch the flow direction of the heat medium. The recovered heat medium is used to perform constant temperature curing on the thick material bag. After the curing reaches the standard, the cold air circulation is started to perform physical rapid cooling to cut off the breeding conditions of heat-resistant bacteria and output a sterile preparation substrate that meets the requirements of the inoculation process.

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