Unconventional feed quality evaluation method and system

Abstract

The invention discloses an unconventional feed quality assessment method and system, and relates to the technical field of unconventional feed quality assessment, and the method comprises the following steps: in a feed high-temperature drying treatment process, establishing a multi-dimensional sensing monitoring baseline, continuously obtaining mercury vapor concentration gradient, moisture evaporation rate and airflow velocity field data in a feed drying environment, and calculating the quality of the feed; forming a time sequence feature set reflecting the dynamic change of mercury vaporization; and constructing a gas-solid interaction analytical model by using the time sequence feature set, and carrying out coupling analysis on the mercury vapor migration trajectory and the temperature distribution and humidity distribution of the feed particle surface to generate a spatial distribution data set representing the spatial distribution feature of the mercury vapor redeposition region. According to the invention, the whole-process monitoring and dynamic regulation and control of mercury vaporization, migration and redeposition in the feed drying process are realized, through multi-dimensional monitoring, amplitude limiting control and high-frequency disturbance, the mercury distribution is balanced, the risk is reduced, the drying safety and the feed quality stability are improved, and the controllable management of heavy metal pollution is effectively realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of unconventional feed quality evaluation, in particular to an unconventional feed quality evaluation method and system. BACKGROUND

[0002] Unconventional feed quality evaluation is a systematic detection and judgment on the nutritional value, safety and applicability of alternative or new raw materials (such as agricultural by-products, fermentation products, insect protein, microbial protein, seaweed, kitchen waste, etc.) that are different from traditional corn, soybean meal and other conventional feed. It not only covers the determination of conventional nutritional components such as crude protein, amino acids and energy, but also includes potential risk analysis of anti-nutritional factors, toxins, microorganisms and heavy metals. Among them, heavy metal analysis detects elements such as lead, cadmium, mercury, arsenic and chromium to prevent excessive intake of raw materials from complex sources into the feed chain and avoid animal poisoning and safety hazards of livestock products. Overall evaluation can ensure animal health and livestock product quality, expand feed resources, reduce costs, and promote green and sustainable breeding development.

[0003] The prior art has the following disadvantages: In the high-temperature drying process, some heavy metal elements in the feed raw materials have the potential risk of morphological transformation, of which mercury is a typical representative. It is extremely easy to vaporize under high-temperature conditions and migrate with the airflow, and then deposit on the surface layer of the feed particles, forming a hidden high-risk layer that is difficult to accurately capture by conventional detection methods. This risk layer is often ignored during the detection process, but it is more easily absorbed after being ingested by animals, resulting in a significant increase in body accumulation rate, and ultimately may cause acute poisoning, chronic organ damage, and even transfer to the human body through the food chain, causing serious safety hazards.

[0004] The above information disclosed in the background section is only used to strengthen the understanding of the background of the present disclosure, and therefore it can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0005] The purpose of the present application is to provide an unconventional feed quality evaluation method and system to solve the problems in the background art.

[0006] In order to achieve the above-mentioned purpose, the present application provides the following technical solution: an unconventional feed quality evaluation method, comprising the following steps: In the process of high-temperature drying of feed, a multi-dimensional sensing baseline is established, and data of mercury vapor concentration gradient, water evaporation rate and airflow velocity field in the drying environment of the feed are continuously obtained to form a time sequence feature set that fully reflects the dynamic changes of mercury vaporization; An analytical model of gas-solid interaction was constructed using a time-series feature set. The mercury vapor migration trajectory was coupled with the temperature and humidity distribution on the surface of feed particles to generate a spatial distribution dataset characterizing the spatial distribution features of the mercury vapor redeposition area. Based on the spatial distribution dataset, a phase inversion correction chain is introduced to dynamically correct the concentration distortion in the mercury vapor migration trajectory caused by airflow disturbance or sensing lag, thereby obtaining a corrected spectrum that truly reflects the mercury enrichment trend. Based on the modified spectrum, a limiting control field is constructed to dynamically adjust the airflow path and temperature distribution during the high-temperature drying process, thereby weakening the redeposition intensity of mercury vapor and keeping the mercury deposition distribution on the surface of feed particles under control. Based on the limiting control field, a feedback adjustment mechanism is established to dynamically correct the drying time window and particle residence trajectory according to real-time monitoring data, thereby suppressing the continuous vaporization and redeposition of mercury and maintaining the stability of the entire drying process. A high-frequency disturbance driving field is constructed under the action of feedback regulation mechanism. High-frequency airflow disturbance is applied to the dried feed pellets, so that the residual mercury deposited on the enriched area on the surface of the pellets is redispersed into the internal structure of the pellets, thereby forming a low-risk distribution state and realizing systematic control of the problem of mercury occult deposition during high-temperature drying.

[0007] Preferably, the steps for establishing a multidimensional sensing monitoring baseline during the high-temperature drying process of feed include: Multiple monitoring points are set up inside the feed drying device according to the airflow direction, temperature gradient change and raw material distribution. Mercury vapor concentration detection element, moisture evaporation rate detection device and airflow velocity detection element are respectively installed above the feed material bed, at the hot air inlet, in the middle airflow channel and at the exhaust outlet. After completing the deployment and zero-point calibration, the drying process is started and real-time data of mercury vapor concentration, moisture evaporation rate and airflow velocity field are continuously collected to record the dynamic changes of mercury vaporization and moisture evaporation. The continuous data from each monitoring point were paired and organized according to time series and spatial location to establish a multidimensional time series feature group reflecting the trend of mercury vapor concentration over time. Spatial normalization was performed on the multidimensional time series feature set to form a time series feature set that can describe the dynamic changes of mercury vaporization, which can be used for subsequent gas-solid interaction analysis.

[0008] Preferably, the steps for constructing an analytical model of gas-solid interaction using a time-series feature set include: In the obtained time series feature set, the change data of mercury vapor concentration, moisture evaporation rate and airflow velocity field at each monitoring point are extracted in time sequence, and the data are matched with the spatial distribution of feed particles in the drying chamber to form a spatial correlation between temperature distribution and humidity distribution. After completing the spatial region division and temperature and humidity distribution matching, the mercury vapor migration trajectory is comprehensively coupled with the temperature and humidity gradients on the particle surface to determine the migration direction, residence time and redeposition core location of mercury vapor in the airflow path. After obtaining the coupling results of mercury vapor migration trajectory and temperature and humidity distribution, spatial feature mapping is performed on the entire dry space to generate a spatial distribution dataset characterizing the spatial distribution characteristics of mercury vapor redeposition area, which is used for subsequent correction and control analysis.

[0009] Preferably, the step of introducing a phase inversion correction chain based on the spatial distribution dataset includes: Based on the obtained spatial distribution dataset, regions with abnormal concentration fluctuations in the mercury vapor migration trajectory were identified, and the concentration curves were compared with the temperature and humidity distribution curves at the same time point to determine the spatial range and time period of concentration distortion. After identifying the concentration distortion region, a continuity analysis is performed between the concentration distortion region and the adjacent normal region. Combined with temperature and humidity distribution information, the direction and magnitude of the concentration shift caused by airflow disturbance are inferred, and the abnormal peak value is smoothed and corrected according to the principle of spatial continuity. After completing the concentration deviation correction, the corrected mercury vapor migration trajectory is re-integrated to generate a corrected spectrum that truly reflects the mercury enrichment trend, which is used to guide the subsequent construction of the amplitude-limited control field.

[0010] Preferably, the step of constructing the amplitude-limiting control field based on the modified spectrum includes: Based on the corrected spectrum, the migration path of mercury vapor and the high-risk area of ​​redeposition were identified by region. Areas with mercury concentrations that are consistently higher than the average value were defined as mercury enrichment sensitive areas, and areas with high frequency of concentration changes were defined as mercury migration transition areas. Temperature monitoring points and flow rate detection points were set up in each region to establish a benchmark for temperature and airflow regulation. After completing the area identification and boundary determination, the drying process is dynamically limited by adjusting the airflow path and temperature distribution to keep the mercury vapor concentration within a safe range and reduce the redeposition intensity. During the operation of the limited-amplitude control field, continuous comparison and adaptive correction are performed based on real-time collected data on airflow speed, temperature changes, and mercury concentration to maintain a controlled and stable mercury deposition distribution on the surface of feed particles.

[0011] Preferably, the steps for establishing a feedback adjustment mechanism based on a limiting control field include: Based on the formation and stable operation of the limited control field, a real-time monitoring channel is established to continuously acquire data on airflow velocity, temperature distribution, mercury vapor concentration, and particle surface humidity. When the continuous monitoring results deviate from the boundary value of the limited control field, a feedback adjustment mechanism is triggered. After the feedback adjustment mechanism is triggered, the drying time window is dynamically corrected according to the state change of the limiting control field in order to balance the drying intensity and mercury vaporization rate and prevent mercury re-accumulation caused by prolonged high temperature. While adjusting the drying time window, the residence trajectory of feed particles in the drying space is dynamically adjusted based on the airflow and temperature distribution characteristics of the limiting control field, so as to keep the contact state between the particles and the airflow coordinated. After completing the correction of the drying time window and particle residence trajectory, the operation effect of the feedback adjustment mechanism is continuously verified and dynamically stabilized to keep the drying process in a long-term stable and controlled state.

[0012] Preferably, in the process of dynamically correcting the drying time window and particle residence trajectory, the residence time of particles in the drying space is optimized by adjusting the material conveying direction, controlling the feed rate, and changing the bed thickness. This controls the contact time between mercury vapor and the particle surface, thereby further reducing the probability of mercury redeposition and maintaining the heat and mass transfer stability of the drying process.

[0013] Preferably, the steps for constructing a high-frequency disturbance driving field under the action of a feedback adjustment mechanism include: After the feedback regulation mechanism has been running stably, the time window and airflow direction of the high-frequency disturbance are determined based on the temperature distribution and airflow velocity field data of the amplitude limiting control field, and multi-directional airflow channels are set up in the dry space to form a multi-point converging airflow environment. After determining the timing of the disturbance, the high-frequency airflow disturbance process is initiated, causing the residual mercury on the surface of the feed pellets to redisperse and penetrate into the internal structure of the pellets under high-frequency air pressure fluctuations, forming a stable internal distribution state. During high-frequency disturbances, a feedback regulation mechanism is used to monitor airflow intensity, temperature fluctuations, and mercury concentration changes in real time, and dynamically adjust the frequency and direction of airflow disturbances to keep the disturbance process stable and controllable. After completing the high-frequency perturbation, the feed pellets are cooled and stabilized to allow the redispersed mercury to form a stable binding state at a lower temperature and achieve a low-risk distribution.

[0014] An unconventional feed quality assessment system includes a multi-dimensional sensing and monitoring module, a gas-solid interaction analysis module, a phase inversion correction module, a limiting control field construction module, a feedback adjustment mechanism module, and a high-frequency disturbance driving module. The multidimensional sensing and monitoring module establishes a multidimensional sensing and monitoring baseline during the high-temperature drying process of feed, continuously acquires data on mercury vapor concentration gradient, moisture evaporation rate, and airflow velocity field in the feed drying environment, and forms a time-series feature set reflecting the dynamic changes of mercury vaporization. The gas-solid interaction analysis module uses a time-series feature set to construct a gas-solid interaction analysis model, and couples the mercury vapor migration trajectory with the temperature and humidity distribution on the surface of feed particles to generate a spatial distribution dataset that characterizes the spatial distribution features of the mercury vapor redeposition area. The phase inversion correction module introduces a phase inversion correction chain based on the spatial distribution dataset to dynamically correct the concentration distortion in the mercury vapor migration trajectory and obtain a corrected spectrum that truly reflects the mercury enrichment trend. The limiting control field construction module constructs a limiting control field based on the modified spectrum, which dynamically adjusts the airflow path and temperature distribution during the high-temperature drying process, thereby weakening the redeposition intensity of mercury vapor and keeping the mercury deposition distribution on the surface of feed particles under control. The feedback adjustment mechanism module, driven by the amplitude limiting control field, establishes a feedback adjustment mechanism to dynamically correct the drying time window and particle residence trajectory based on real-time monitoring data, thereby inhibiting the continuous vaporization and redeposition of mercury. The high-frequency disturbance driving module constructs a high-frequency disturbance driving field under the action of the feedback adjustment mechanism, and applies high-frequency airflow disturbance to the dried feed pellets, so that the residual mercury deposited on the enriched area on the surface of the pellets is redispersed into the internal structure of the pellets, forming a low-risk distribution state.

[0015] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention establishes a multi-dimensional sensing monitoring baseline during the high-temperature drying process and combines it with gas-solid interaction analysis to achieve real-time capture and dynamic correction of the entire process of mercury vaporization, migration, and redeposition. This transforms the invisible behavior of mercury vapor in the drying environment into identifiable and quantifiable dynamic characteristics. Through the synergistic effect of the phase inversion correction chain and the limiting control field, the airflow path and temperature distribution can be precisely controlled during the drying process, significantly weakening the redeposition intensity of mercury vapor and effectively preventing the high-concentration accumulation of mercury on the surface. This method suppresses mercury concentration fluctuations in feed pellets during the high-temperature drying stage, resulting in a more balanced mercury distribution on the surface and inside the pellets, significantly improving the safety and environmental adaptability of the drying process.

[0016] This invention achieves active dispersion and redistribution of mercury-enriched layers through the coupled application of a feedback regulation mechanism driven by a limited-amplitude control field and a high-frequency perturbation driving field. This allows residual mercury to redistribute from the surface of feed particles into the internal microporous structure, forming a low-risk, stable, and safe distribution state. By dynamically adjusting the drying time window and particle residence trajectory, the drying process possesses adaptive adjustment capabilities, effectively reducing the risk of mercury concealment while maintaining drying efficiency and stable feed quality. This method not only achieves full-process control of mercury migration behavior but also significantly reduces the proportion of bioabsorbable mercury in feed, providing a new technical approach for the safe management of heavy metals in feed processing. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0018] Figure 1 This is a flowchart of an unconventional feed quality assessment method according to the present invention.

[0019] Figure 2 This is a schematic diagram of a module of an unconventional feed quality assessment system according to the present invention. Detailed Implementation

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

[0021] This invention provides, for example Figure 1 The method for assessing the quality of unconventional feed shown includes the following steps: S100. During the high-temperature drying process of feed, a multi-dimensional sensing monitoring baseline is established to continuously acquire data on mercury vapor concentration gradient, moisture evaporation rate, and airflow velocity field in the feed drying environment, so as to form a complete time-series feature set reflecting the dynamic changes of mercury vaporization. To achieve a comprehensive understanding of mercury vaporization and migration during the high-temperature drying process of feed, a multi-dimensional sensing monitoring baseline covering temperature, humidity, flow rate, and mercury concentration was established. By continuously collecting dynamic change information inside the drying chamber, a time-series feature set that accurately reflects the entire process of mercury evaporation and migration was obtained. This process specifically includes the following steps: Multiple monitoring points are set up inside the feed drying unit according to the airflow direction, temperature gradient changes, and raw material distribution. Each monitoring point is located above the feed material bed, at the hot air inlet, in the central airflow channel, and at the exhaust outlet to ensure data collection covers the entire drying space. Each monitoring point is equipped with a mercury vapor concentration sensor, a moisture evaporation rate detector, and an airflow velocity detector. The mercury vapor concentration sensor can use a gas phase detector based on the gold film cold atomic absorption principle, which can continuously measure the concentration change of mercury vapor in the gas at high temperatures. The moisture evaporation rate detector can use infrared absorption response characteristics to continuously record the water vapor content in the air, thereby reflecting the evaporation process of moisture in the particles. The airflow velocity detector uses a high-temperature resistant thermistoric anemometer probe to monitor the airflow velocity and direction within the drying chamber. To ensure the comparability of data between different measuring elements, after installation, all types of measuring devices must be zero-point calibrated under the same temperature and humidity conditions, and concentration verification must be performed with standard gas before drying to ensure that all measurement data have a consistent response baseline. Each monitoring point is connected to a data acquisition terminal via a high-temperature resistant signal cable to receive and store sampling data in real time, thus forming the basic structure for multi-point synchronous monitoring.

[0022] After multi-point deployment and calibration, the high-temperature drying process of the feed is initiated. The wet feed raw materials are evenly distributed in the material bed of the drying device, and the hot air heating source is turned on to stabilize the air temperature entering the drying space within the preset high-temperature range. As hot air enters the drying space, the mercury vapor concentration detection element begins to record the change curve of mercury vapor concentration in the air in real time; the moisture evaporation rate detection device simultaneously records the upward trend of water vapor content over time to reflect the rate of moisture migration and release within the particles; the airflow velocity detection element continuously outputs data on changes in airflow velocity and direction to reflect the movement characteristics of the hot air in the drying chamber. All monitoring elements sample synchronously at fixed time intervals, ensuring that each set of sampled data corresponds to the drying state at the same moment. By continuously collecting data during the drying process, the dynamic information of the entire process can be fully recorded, from the initial large-scale evaporation of moisture in the heating stage, to the significant vaporization of mercury in the constant temperature stage, and then to the gradual stabilization of mercury vapor in the cooling stage. The entire data acquisition process continues until the moisture content of the feed material decreases to the set value, ensuring that the data covers the entire drying cycle.

[0023] After acquiring continuous data from each monitoring point, the three types of data—mercury vapor concentration gradient, moisture evaporation rate, and airflow velocity field—were synchronously arranged according to time series. The data were then paired and organized based on the spatial location of the monitoring points, thus establishing a multidimensional temporal feature set reflecting the temporal variation trend of mercury vapor concentration at different locations in the dry space. Each temporal feature set contains synchronous records of temperature, humidity, airflow velocity, and mercury concentration changes, revealing the interaction between mercury vaporization rate and moisture evaporation rate. For example, the increase in mercury vapor concentration in the hot air inlet area usually corresponds to a decrease in the moisture evaporation rate, indicating that mercury release in this area is affected by the surface drying rate. Meanwhile, fluctuations in mercury vapor concentration in the airflow outlet area are often related to instantaneous changes in airflow velocity, reflecting the influence of airflow disturbance on the direction of mercury vapor migration. Through this synchronous correlation method, the fluctuation pattern of mercury vapor concentration at each monitoring point and its dynamic coupling relationship with airflow and humidity can be clearly defined, providing reliable spatiotemporal data for subsequent gas-solid interaction analysis.

[0024] Finally, the multidimensional time-series feature sets obtained from each monitoring point were spatially normalized to eliminate measurement biases caused by differences in deployment height, airflow path, or local temperature fluctuations. During normalization, the geometric coordinates of the drying chamber were used as a unified reference. Mercury vapor concentration, moisture evaporation rate, and airflow velocity data at different locations within the same time period were matched according to spatial correspondence, forming a complete time-series feature set that describes the dynamic changes in mercury vaporization. Analysis of this time-series feature set clearly depicts the entire process of mercury being released from the surface of feed pellets, carried by hot air, migrated with the airflow, and diffused within the drying space. This time-series feature set not only records the temporal trajectory of mercury evaporation rate but also reflects the concentration gradient distribution between different spatial locations, providing a direct basis for identifying mercury redeposition risk areas and constructing a gas-solid interaction model. With repeated drying experiments, data from different batches can be further superimposed to form a representative dynamic change baseline, providing a stable reference for subsequent amplitude control and feedback adjustment of the drying process.

[0025] Through the above steps, a multi-dimensional sensing and monitoring baseline was established throughout the entire drying process, enabling the simultaneous capture and quantification of mercury vaporization behavior, moisture evaporation behavior, and airflow transport characteristics during feed drying. This method not only accurately reproduces the release and migration patterns of mercury under high-temperature conditions but also reveals the relationship between humidity changes and airflow disturbances on the mercury vaporization rate.

[0026] S200. Construct an analytical model of gas-solid interaction using time-series feature sets, and couple the mercury vapor migration trajectory with the temperature and humidity distribution on the surface of feed particles to generate a spatial distribution dataset that characterizes the spatial distribution features of the mercury vapor redeposition area. To reveal the interaction between mercury vapor and feed particles during high-temperature drying, a gas-solid interaction analytical model was constructed based on an established time-series feature set. This model reflects the relationship between mercury vaporization and migration and the temperature and humidity distribution on the particle surface. Using this model, the migration path, residence area, and spatial distribution characteristics of mercury vapor redeposition within the drying space can be clearly defined. The process includes the following steps: In the obtained temporal feature set, data on the changes in mercury vapor concentration, moisture evaporation rate, and airflow velocity field at each monitoring point were extracted in chronological order. These data were then matched with the spatial distribution of feed particles within the drying chamber. To ensure the accuracy of the matching, several spatial regions were divided based on the internal geometry of the drying device and the packing morphology of the feed material bed. Each region contained a specific number of particle units and airflow channels. Infrared thermal imaging was used to measure the temperature distribution within each region at multiple points, recording the actual temperature change curves of the particle surface over different time periods. Simultaneously, using the humidity change data obtained in the previous step, combined with the temporal changes in moisture evaporation rate, a humidity distribution map of the particle surface in each region was plotted. By mapping the changes in mercury vapor concentration over time to the spatial distribution of temperature and humidity, regions significantly affected by temperature and humidity during mercury vapor migration can be preliminarily identified, and the main migration direction of mercury vapor in the airflow channels and its potential attachment sites on the particle surface can be determined.

[0027] After spatial region division and temperature and humidity distribution matching, a comprehensive coupling analysis was further conducted between the mercury vapor migration trajectory and the temperature and humidity gradients of the particle surface. Specifically, in each spatial region, areas with higher temperatures and rapidly decreasing humidity often correspond to the rising stage of mercury vaporization rate; while areas with relatively lower temperatures and higher humidity are more likely to become potential sites for mercury vapor condensation or redeposition. During this process, it is necessary to continuously track the changing trend of mercury vapor concentration at different time points to determine its diffusion direction and residence time in the airflow path. When the airflow velocity is low or the streamline direction is curved, mercury vapor concentration will accumulate locally, and combined with the humidity characteristics of the particle surface in this area, redeposition nuclei are easily formed. To accurately determine these areas, the time delay characteristics of mercury vapor concentration changes were compared with the hysteresis phenomenon of particle surface temperature changes, thereby identifying adsorption points and recondensation points caused by gas-solid heat exchange in the mercury vapor migration trajectory. Through this series of coupling analyses, the continuous path of the mercury vapor migration trajectory and the preliminary distribution outline of the redeposition region can be spatially mapped.

[0028] After obtaining the coupled results of mercury vapor migration trajectory and temperature and humidity distribution, spatial feature mapping was performed on the entire drying space to generate a spatial distribution dataset characterizing the spatial distribution features of mercury vapor redeposition areas. To achieve this, the amplitude of mercury vapor concentration change, temperature gradient difference, and humidity change rate in each spatial region were comprehensively quantified and spatially superimposed to form a complete redeposition distribution map. In this map, areas with high mercury vapor redeposition risk are represented by spatial blocks with drastic concentration changes and significant temperature and humidity fluctuations, while areas with smooth mercury vapor migration and high airflow velocity are shown as low-risk areas. Continuous time tracking of these spatial distribution features clearly shows how the migration path of mercury vapor changes with temperature and moisture release during the drying process. When the drying time is prolonged or the airflow velocity fluctuations intensify, the high-risk areas in the spatial distribution map show significant expansion or movement, a phenomenon that provides a basis for subsequent amplitude limiting control and feedback adjustment. The spatial distribution dataset generated in this way not only realistically reflects the dynamic migration and redeposition patterns of mercury vapor in dry spaces, but also reveals the synergistic relationship between temperature distribution, humidity distribution, and airflow velocity in influencing mercury behavior. This provides an accurate data foundation for correcting mercury enrichment trends and constructing a limiting control field in subsequent steps.

[0029] Through the steps described above, and by fully utilizing the temporal feature set obtained in the previous step, a dynamic coupling analysis of the mercury vapor migration trajectory with the temperature and humidity distribution on the feed particle surface was achieved. By spatial region division, temporal variation correlation, and the superposition of temperature and humidity conditions, a gas-solid interaction analytical model that accurately reflects the mercury vapor redeposition behavior was constructed. This model can reveal the entire process of mercury vapor from vaporization to migration and then to condensation on a spatial scale, and accurately identify redeposition risk areas. This approach not only enables the visualization analysis of mercury migration patterns but also provides a basis for subsequent phase inversion correction and amplitude limiting control.

[0030] S300. Based on the spatial distribution dataset, a phase inversion correction chain is introduced to dynamically correct the concentration distortion in the mercury vapor migration trajectory caused by airflow disturbance or sensing lag, and obtain a corrected spectrum that truly reflects the mercury enrichment trend. To ensure that the spatial distribution data of mercury vapor obtained through the gas-solid interaction analytical model more accurately reflects the true state of mercury migration and enrichment, a phase inversion correction chain is further introduced to dynamically correct concentration distortions caused by airflow disturbances, temperature and humidity fluctuations, or sensor response lag. This correction process improves the accuracy of the spatial distribution of mercury migration trajectories and redeposition regions, ultimately yielding a corrected map that accurately reflects mercury enrichment trends. This process includes the following steps: For the obtained spatial distribution dataset, regions exhibiting anomalous concentration fluctuations in the mercury vapor migration trajectory are identified. These anomalous regions typically manifest as discontinuous changes in mercury concentration over time, instantaneous peaks, or significant delayed responses. To ensure targeted correction, the concentration curves in the spatial distribution dataset are compared one-to-one with the temperature and humidity distribution curves at the same time point. When a discrepancy is found between the mercury vapor concentration change and the temperature or humidity change trend, it can be determined that the concentration fluctuation in that region may be caused by airflow disturbances or sensor lag. To improve the accuracy of the judgment, airflow velocity field data is also referenced to confirm the presence of airflow reversal, local turbulence, or sudden changes in velocity. In this way, the spatial range and time period of concentration distortion can be accurately located, thus providing a clear target area for subsequent correction.

[0031] After identifying the concentration distortion areas, these areas are analyzed for continuity with adjacent normal areas. A mapping relationship is established using the concentration change trends between different time points and the mercury concentration distribution characteristics of spatially adjacent areas to infer the direction and magnitude of concentration shifts caused by airflow disturbances. Simultaneously, the temperature and humidity distribution information obtained in the preceding steps is used to determine the characteristics of possible accompanying changes in thermal and humidity conditions during this shift. For example, in areas where airflow velocity suddenly decreases, mercury vapor concentrations may appear artificially high due to local stagnation, while in areas where airflow suddenly increases, concentrations may be artificially low due to dilution effects. By comparing and analyzing these areas, the actual spatial shift path of the mercury vapor migration trajectory and the trend of concentration distribution changes can be inferred. Based on this, a spatiotemporal reference benchmark for concentration correction is established. Abnormal peak values ​​in areas of artificially high concentrations are smoothly corrected upstream or downstream of the airflow according to the principle of spatial continuity, ensuring consistency with the temporal characteristics of temperature and humidity changes and airflow disturbances. In this way, local concentration distortions caused by airflow instability or sensor response delays can be effectively eliminated.

[0032] After correcting for concentration deviations, the corrected mercury vapor migration trajectories throughout the drying space were re-integrated to generate a corrected map that accurately reflects the mercury enrichment trend. During this process, the corrected concentration distribution was re-correlated with corresponding temperature and humidity conditions, using time as the main axis. Based on the spatial migration direction of mercury vapor at different stages, a continuous path map from vaporization to migration and then to redeposition was reconstructed. Each spatial point in the corrected map corresponds to three dimensions of data: mercury concentration, temperature, and humidity, thus forming a multi-dimensional superimposed mercury enrichment trend distribution at the visualization level. To ensure the authenticity of the corrected map, data was repeatedly collected and corrected during multiple drying cycles to verify the stability of mercury enrichment in the same area during different batches of drying. When the corrected map showed similar enrichment trends in multiple repeated experiments, it indicated that the corrected chain could effectively reflect the true behavior of mercury migration and deposition. The final corrected map will serve as an important basis for the subsequent construction of a limiting control field, guiding the dynamic adjustment of airflow paths and temperature distribution to achieve active control of the mercury redeposition process.

[0033] Through the above steps, a phase inversion correction chain was established based on spatial distribution data, referenced to thermal and humidity conditions, and corrected for the continuity of mercury vapor migration. This correction chain can progressively correct concentration distortions caused by airflow disturbances, sensor lag, or nonlinear changes in thermal and humidity during dynamic drying, elevating the description of mercury vapor migration trajectories from apparent data to the true physical process. The generated corrected maps allow for the precise identification of mercury enrichment centers and redeposition boundaries at the spatial level.

[0034] S400: Based on the modified spectrum, a limiting control field is constructed to dynamically adjust the airflow path and temperature distribution during the high-temperature drying process, thereby weakening the redeposition intensity of mercury vapor and keeping the mercury deposition distribution on the surface of feed particles under control. To effectively translate the corrected mercury vapor enrichment pattern into a control basis for the high-temperature drying process, a limited control field is constructed within the drying chamber based on this corrected pattern. By dynamically adjusting the airflow path and temperature distribution, the redeposition intensity of mercury vapor is weakened, and the mercury deposition distribution on the surface of the feed pellets is kept under control. This process includes the following steps: Based on the obtained corrected data map, mercury vapor migration paths and high-risk redeposition areas were identified and zoned, and corresponding temperature and airflow control benchmarks were established within the dry space. Specifically, areas where mercury concentration consistently exceeded the average value in the corrected data map were defined as mercury-enriched sensitive areas, areas with high frequency of mercury concentration changes were defined as mercury migration transition zones, and areas with stable concentration changes were defined as mercury distribution equilibrium zones. For mercury-enriched sensitive areas, high-precision temperature and velocity monitoring points were deployed around them to capture subtle differences in airflow changes and temperature fluctuations in real time. Subsequently, the temperature-humidity coupled data in the corrected data map were compared and analyzed with the real-time data from these monitoring points to determine the temperature gradient and airflow direction offset in each region and establish the correspondence between mercury redeposition risk and dry conditions. In this way, the abstract mercury enrichment trend can be transformed into specific temperature and airflow control boundaries, providing a framework for the construction of a limited control field.

[0035] After completing area identification and boundary determination, the dynamic adjustment process of the limiting control field is initiated. The core of this process lies in maintaining the mercury vapor concentration within a safe range in each area by controlling the real-time changes in airflow path and temperature distribution within the drying space. Specifically, based on the changing direction of mercury enrichment trends in the modified spectrum, adjustable flow guides can be installed between the airflow inlet and outlet to change the airflow direction and distribution density; simultaneously, precise local temperature control is achieved by adjusting the hot air intensity near the heating source. When the mercury vapor concentration in a certain area approaches the predetermined upper limit, the airflow velocity is appropriately increased or the flow direction is changed to accelerate the dilution and diffusion of mercury vapor; when the temperature rises and the mercury vaporization rate becomes too fast, the local hot air temperature is gradually reduced or the hot air distribution cycle is extended to slow down the mercury evaporation rate and prevent further expansion of the redeposition risk area. Throughout the process, temperature and airflow regulation must be coordinated to avoid new mercury concentration anomalies caused by local overcooling or overheating. This dynamic limiting method effectively weakens the driving force of mercury redeposition without affecting drying efficiency, keeping the mercury concentration fluctuations on the surface of feed pellets within a controllable range.

[0036] After the limited control field is formed and operational, its control effect is continuously verified and adaptively corrected to ensure the dynamic balance and long-term stability of the control field. Specifically, the real-time data on airflow velocity, temperature changes, and mercury vapor concentration collected during the operation of the limited control field are compared with the corrected spectrum to check whether the control effect is consistent with the predicted trend. When a local area is found to still have a high mercury vapor concentration, the airflow distribution characteristics and temperature change curves of that area are tracked to determine whether there are problems such as airflow stagnation, uneven heat exchange, or abnormal temperature and humidity gradients, and the control boundary is adjusted according to the analysis results. For example, in the local stagnation area caused by the rising airflow encountering the feed accumulation layer, the high concentration accumulation can be eliminated by reducing the local heat source output, changing the air inlet angle, or temporarily increasing the reverse airflow; if local mercury enrichment occurs during the cooling stage, the mercury vapor can be fully diffused by extending the isotherm process or slowing down the cooling rate. Through this dynamic correction process, the limited control field can maintain the optimal match between airflow and temperature in different drying stages, achieving continuous constraint on mercury vapor migration and redeposition behavior. The resulting limiting control field can not only actively weaken the intensity of mercury redeposition, but also maintain a controlled and stable distribution of mercury deposition on the surface of feed pellets for a long time, providing a control environment basis for the establishment of subsequent feedback regulation mechanisms.

[0037] Through the above steps, an effective transformation from a modified spectrum to a limited control field is achieved. By establishing control boundaries for temperature and airflow in space and dynamically limiting mercury vapor concentration in time, a drying process control system that can adaptively adjust to environmental changes is formed.

[0038] S500, driven by a limiting control field, establishes a feedback adjustment mechanism to dynamically correct the drying time window and particle residence trajectory based on real-time monitoring data, suppressing the continuous vaporization and redeposition of mercury and maintaining the stability of the entire drying process. To ensure the continuous function of the limiting control field during high-temperature drying and maintain stability under dynamically changing conditions, a feedback regulation mechanism is established based on the limiting control field. This mechanism dynamically adjusts the drying time window and the residence trajectory of feed particles within the drying space based on real-time monitoring data, thereby suppressing the continuous vaporization and redeposition of mercury and maintaining the dynamic balance of the drying environment. The process includes the following steps: Based on the formation and stable operation of the limited-amplitude control field, a corresponding real-time monitoring channel is established to continuously acquire information on changes in airflow velocity, temperature distribution, mercury vapor concentration, and particle surface moisture. Monitoring points need to be deployed in key locations within the drying space, including airflow inlets, heat exchange zones, and exhaust outlets, to ensure that the monitoring data reflects the dynamic changes in the overall drying state. After collecting data, various sensors record real-time data on temperature changes, mercury vapor concentration fluctuations, and particle surface moisture content at fixed time intervals. To ensure data reliability, the stability of data changes should be continuously verified during monitoring. When multiple consecutive sampling results deviate from the preset boundary values ​​of the limited-amplitude control field, the activation conditions of the feedback adjustment mechanism are automatically triggered. In this way, it is ensured that the feedback mechanism is always driven by accurate and timely real-time data, thus providing sufficient basis for subsequent adjustments to drying time and particle movement paths.

[0039] After the feedback adjustment mechanism is triggered, the drying time window is dynamically corrected based on the changes in the state of the limiting control field. The drying time window refers to the effective heating time experienced by feed pellets from entering the drying space to reaching the target moisture content. During this stage, the trends of temperature rise rate, airflow stability, and mercury vapor concentration changes in real-time monitoring data should be comprehensively analyzed. When an increase or greater fluctuation in mercury vapor concentration is detected in a certain stage, the heating time in that stage should be appropriately shortened to reduce the surface temperature of the pellets and decrease the continuous vaporization of mercury; conversely, when the mercury concentration change tends to be gradual and the temperature distribution is stable, the drying time window should be appropriately extended to ensure that the internal moisture of the material is fully evaporated. The entire time correction process should be synchronized with the limiting control field to ensure a balance between drying intensity and mercury vaporization rate in different time periods. By dynamically adjusting the drying time window, secondary mercury volatilization and surface re-enrichment caused by prolonged high-temperature retention can be effectively avoided.

[0040] While adjusting the drying time window, the residence trajectory of feed pellets within the drying space is dynamically corrected to optimize the contact between airflow and pellets. Specifically, based on the airflow distribution characteristics and temperature field changes in the limiting control field, the optimal residence path of pellets in different spatial regions is determined. When a persistently high mercury vapor concentration is detected in a certain region, the pellet trajectory is adjusted to shorten the residence time of pellets in that region, thereby reducing the contact opportunity between mercury vapor and the pellet surface. Conversely, for regions with relatively low mercury concentration and stable airflow velocity, the residence time of pellets is appropriately extended to improve drying efficiency. The adjustment of pellet trajectory can be achieved by changing the material conveying direction, controlling the feed rate, or adjusting the bed thickness, thereby achieving a physical coordination between pellet residence behavior and the airflow and temperature fields. Through this trajectory correction, a dynamic equilibrium state between the gas and solid phases can be formed, effectively constraining the migration path of mercury and preventing its redeposition on the pellet surface.

[0041] After completing the dual correction of the drying time window and particle residence trajectory, the overall effect of the feedback regulation mechanism is continuously verified and dynamically stabilized to ensure that the entire drying process is in a stable and controlled state. During this stage, the time-series curves of mercury vapor concentration, temperature distribution maps, and particle moisture change curves before and after correction are compared to analyze whether the adjusted system has achieved the goal of suppressing mercury redeposition. When the detection results show that the fluctuation amplitude of mercury vapor concentration is significantly reduced, the temperature field distribution tends to be uniform, and the particle drying rate remains stable, it indicates that the feedback regulation mechanism has reached an ideal equilibrium state. If local fluctuations or concentration anomalies still occur, the boundary values ​​of the limiting control field are readjusted based on new monitoring data, so that the drying conditions are automatically optimized in the next cycle. Through this continuous correction and stabilization feedback method, the entire drying process can maintain adaptive regulation capability, achieve long-term suppression of mercury vaporization and redeposition processes, and maintain the dynamic stability of the drying space.

[0042] Through the above steps, a closed-loop feedback regulation mechanism driven by the limiting control field is realized, which transforms the feed drying process from a passive response to an active control. This not only effectively reduces the risk of continuous mercury vaporization and surface redeposition, but also ensures the energy efficiency stability and material quality consistency of the drying process.

[0043] S600: Under the action of feedback regulation mechanism, a high-frequency disturbance driving field is constructed to apply high-frequency airflow disturbance to the dried feed pellets, so that the residual mercury deposited on the enrichment area on the surface of the pellets is redispersed into the internal structure of the pellets, thereby forming a low-risk distribution state and realizing systematic control of the problem of mercury hidden deposition during high-temperature drying. To further mitigate the risk of residual mercury accumulation on the surface of feed pellets during high-temperature drying, a high-frequency perturbation driving field is constructed after drying, based on the stable operation of the feedback regulation mechanism. By applying high-frequency airflow perturbation to the feed pellets, the residual mercury deposition area on the pellet surface is redispersed and penetrates into the internal structure of the pellets, thereby forming a low-risk distribution state and achieving systematic control over the problem of concealed mercury deposition. This process includes the following steps: After the feedback regulation mechanism stabilizes, the appropriate time window and airflow direction for high-frequency disturbance are determined based on the final temperature distribution and airflow velocity field data of the limiting control field. This stage requires a detailed analysis of the airflow state within the drying space to identify the moment when the surface temperature of the feed pellets has stabilized, the moisture content has reached its endpoint, and the mercury vapor concentration has decreased to a safe level. At this point, the mercury on the pellet surface is mainly attached to the outer layer of the material in a weak adsorption or micro-condensation state. Based on these characteristics, high-frequency disturbance treatment is most suitable at the end of the drying process. To ensure that the airflow disturbance can uniformly cover the entire material bed, airflow channels should be set up in multiple directions within the drying space to create a multi-point converging airflow environment, allowing the airflow to alternately impact the pellet surface in different directions. This pretreatment method lays the foundation for a stable and controllable driving force field for subsequent high-frequency disturbance.

[0044] After determining the timing of the disturbance, a high-frequency airflow disturbance process is initiated. Continuous pulsed airflow acts on the surface of the feed pellets, causing residual mercury adhering to the pellet surface to undergo periodic micro-vibration impacts under high-frequency air pressure fluctuations. During this process, the airflow disturbance should maintain a certain frequency and amplitude, ensuring that it can induce micro-vibration disturbances in the surface air film for a short time without damaging the structural integrity of the pellets. With repeated high-frequency airflow action, the mercury deposition area on the pellet surface loosens and redistributes. Some mercury is forced into the micropores or cracks inside the pellet under the shear force of the airflow, combining with the internal structure. Due to the relatively low internal temperature of the pellets, the re-adsorption rate of mercury slows down, forming a relatively stable internal distribution. The entire high-frequency disturbance process continues until the surface mercury concentration change stabilizes, indicating that the mercury redispersion process is essentially complete.

[0045] During high-frequency disturbances, a feedback control mechanism is used to monitor airflow intensity, temperature fluctuations, and mercury concentration changes in real time to ensure that the disturbance intensity and duration remain within the optimal range. When monitoring data indicates excessive fluctuations in the airflow velocity field or a local temperature increase trend, the frequency and direction of the airflow disturbance are adjusted promptly to prevent particle surface peeling or local revaporization due to excessive disturbance. At this time, the temperature distribution data provided by the limiting control field can serve as a basis for real-time control, ensuring that the airflow disturbance always maintains a coordinated relationship with the temperature distribution. This combination of monitoring and feedback ensures the stability and controllability of the airflow disturbance, allowing the mercury redispersion process to proceed within a predictable range. Simultaneously, the real-time trend of surface mercury concentration changes after airflow disturbances is used to assess the effectiveness of the redispersion process. When the rate of concentration decrease slows down and tends to stabilize, it indicates that the surface mercury has reached a balanced distribution state, and the next stage can begin.

[0046] After high-frequency perturbation and monitoring adjustments, the feed pellets undergo cooling and stabilization treatment to allow the mercury redispersed within to form a stable binding state at lower temperatures. Specifically, by gradually reducing the temperature within the drying space and controlling the cooling rate, the temperature gradient between the pellet surface and interior is gradually reduced, thus preventing mercury re-migration caused by temperature differences. When the overall pellet temperature drops to near room temperature, the mercury distribution on the surface and inside reaches a stable equilibrium, forming a low-risk, safe distribution structure. Subsequently, stratified analysis of the dried feed samples verifies the redistribution of mercury within the pellets. If the results show a significant decrease in surface mercury content while the internal mercury content is relatively uniform, it indicates a significant redispersion effect from the high-frequency perturbation-driven field. This approach not only reduces the risk of mercury enrichment on the feed surface but also achieves stable mercury sequestration within the pellets, thus enabling systematic control of the problem of concealed mercury deposition.

[0047] Through the above steps, the high-frequency disturbance driving field is organically combined with the feedback regulation mechanism, realizing the transformation from passive correction to active redistribution. This method, through the dynamic coordination of airflow frequency, direction, and temperature, causes residual mercury to redistribute from the particle surface to the internal structure, forming a stable and low-risk distribution state.

[0048] This invention establishes a multi-dimensional sensing monitoring baseline during the high-temperature drying process and combines it with gas-solid interaction analysis to achieve real-time capture and dynamic correction of the entire process of mercury vaporization, migration, and redeposition. This transforms the invisible behavior of mercury vapor in the drying environment into identifiable and quantifiable dynamic characteristics. Through the synergistic effect of the phase inversion correction chain and the limiting control field, the airflow path and temperature distribution can be precisely controlled during the drying process, significantly weakening the redeposition intensity of mercury vapor and effectively preventing the high-concentration accumulation of mercury on the surface. This method suppresses mercury concentration fluctuations in feed pellets during the high-temperature drying stage, resulting in a more balanced mercury distribution on the surface and inside the pellets, significantly improving the safety and environmental adaptability of the drying process.

[0049] This invention achieves active dispersion and redistribution of mercury-enriched layers through the coupled application of a feedback regulation mechanism driven by a limited-amplitude control field and a high-frequency perturbation driving field. This allows residual mercury to redistribute from the surface of feed particles into the internal microporous structure, forming a low-risk, stable, and safe distribution state. By dynamically adjusting the drying time window and particle residence trajectory, the drying process possesses adaptive adjustment capabilities, effectively reducing the risk of mercury concealment while maintaining drying efficiency and stable feed quality. This method not only achieves full-process control of mercury migration behavior but also significantly reduces the proportion of bioabsorbable mercury in feed, providing a new technical approach for the safe management of heavy metals in feed processing.

[0050] This invention provides, for example Figure 2The unconventional feed quality assessment system shown includes a multi-dimensional sensing and monitoring module, a gas-solid interaction analysis module, a phase inversion correction module, a limiting control field construction module, a feedback adjustment mechanism module, and a high-frequency disturbance driving module. The multidimensional sensing and monitoring module establishes a multidimensional sensing and monitoring baseline during the high-temperature drying process of feed, continuously acquires data on mercury vapor concentration gradient, moisture evaporation rate, and airflow velocity field in the feed drying environment, and forms a time-series feature set reflecting the dynamic changes of mercury vaporization. The gas-solid interaction analysis module uses a time-series feature set to construct a gas-solid interaction analysis model, and couples the mercury vapor migration trajectory with the temperature and humidity distribution on the surface of feed particles to generate a spatial distribution dataset that characterizes the spatial distribution features of the mercury vapor redeposition area. The phase inversion correction module introduces a phase inversion correction chain based on the spatial distribution dataset to dynamically correct the concentration distortion in the mercury vapor migration trajectory and obtain a corrected spectrum that truly reflects the mercury enrichment trend. The limiting control field construction module constructs a limiting control field based on the modified spectrum, which dynamically adjusts the airflow path and temperature distribution during the high-temperature drying process, thereby weakening the redeposition intensity of mercury vapor and keeping the mercury deposition distribution on the surface of feed particles under control. The feedback adjustment mechanism module, driven by the amplitude limiting control field, establishes a feedback adjustment mechanism to dynamically correct the drying time window and particle residence trajectory based on real-time monitoring data, thereby inhibiting the continuous vaporization and redeposition of mercury. The high-frequency disturbance driving module constructs a high-frequency disturbance driving field under the action of the feedback adjustment mechanism, and applies high-frequency airflow disturbance to the dried feed pellets, so that the residual mercury deposited on the enriched area on the surface of the pellets is redispersed into the internal structure of the pellets, forming a low-risk distribution state.

[0051] The present invention provides an unconventional feed quality assessment method, which is implemented through the above-mentioned unconventional feed quality assessment system. The specific methods and processes of the unconventional feed quality assessment system are detailed in the above-mentioned embodiment of the unconventional feed quality assessment method, and will not be repeated here.

[0052] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the quality of an unconventional feed, characterized by, The method comprises the following steps: During the high-temperature drying process of the feed, a multi-dimensional sensing monitoring baseline is established, the mercury vapor concentration gradient, the moisture evaporation rate and the airflow velocity field data in the feed drying environment are continuously acquired, and a time sequence feature set reflecting the dynamic change of mercury vaporization is formed; An air-solid interaction analysis model is constructed by using the time sequence feature set, the mercury vapor migration track is coupled with the temperature distribution and the humidity distribution on the surface of the feed particles for analysis, and a spatial distribution data set characterizing the spatial distribution characteristics of the mercury vapor re-deposition area is generated; According to the spatial distribution data set, a phase inversion correction chain is introduced to dynamically correct the concentration distortion in the mercury vapor migration track, and a corrected atlas reflecting the mercury enrichment trend is obtained; Based on the corrected atlas, a limiting control field is constructed to dynamically adjust the airflow path and the temperature distribution in the high-temperature drying process, so that the re-deposition intensity of the mercury vapor is weakened, and the mercury deposition distribution on the surface layer of the feed particles is kept in a controlled state; According to the limiting control field, a feedback adjustment mechanism is established, the drying time window and the particle residence track are dynamically corrected according to the real-time monitoring data, and the continuous vaporization and re-deposition process of mercury is inhibited; Under the action of the feedback adjustment mechanism, a high-frequency disturbance driving field is constructed, high-frequency airflow disturbance is applied to the dried feed particles, residual mercury deposition in the enrichment area on the surface layer of the particles is dispersed into the internal structure of the particles, and a low-risk distribution state is formed.

2. The method for evaluating the quality of non-conventional feed according to claim 1, characterized in that, The step of establishing a multi-dimensional sensing monitoring baseline during the high-temperature drying process of the feed comprises: According to the airflow flow direction, the temperature gradient change and the raw material distribution inside the feed drying device, a plurality of monitoring points are arranged, mercury vapor concentration detection elements, moisture evaporation rate detection devices and airflow velocity detection elements are arranged above the feed material bed, at the hot air inlet, in the middle airflow channel and at the exhaust outlet respectively; After the arrangement and zero-point calibration are completed, the drying process is started, and real-time data of mercury vapor concentration, moisture evaporation rate and airflow velocity field are continuously collected, and the dynamic change process of mercury vaporization and moisture evaporation is recorded; The continuous data of each monitoring point are paired and arranged according to time sequence and spatial position, and a multi-dimensional time sequence feature group reflecting the time change trend of mercury vapor concentration is established; The multi-dimensional time sequence feature group is subjected to spatial normalization processing to form a time sequence feature set describing the dynamic change of mercury vaporization.

3. The method for evaluating the quality of non-conventional feed according to claim 2, characterized in that, The step of constructing an air-solid interaction analysis model by using the time sequence feature set comprises: In the obtained time sequence feature set, the change data of mercury vapor concentration, moisture evaporation rate and airflow velocity field at each monitoring point are extracted in time sequence, and the data are matched with the spatial distribution of the feed particles in the drying cavity to form the spatial correlation of temperature distribution and humidity distribution; After the spatial region division and the temperature and humidity distribution matching are completed, the mercury vapor migration track is comprehensively coupled with the temperature gradient and the humidity gradient on the surface of the particles for analysis, the migration direction, the residence time and the re-deposition core position of the mercury vapor in the airflow path are determined; After the coupling results of the mercury vapor migration track and the temperature and humidity distribution are obtained, the spatial characteristics of the whole drying space are mapped to generate a spatial distribution data set characterizing the spatial distribution characteristics of the mercury vapor re-deposition area.

4. The method for evaluating the quality of non-conventional feed according to claim 1, characterized in that, The steps of introducing the phase inversion correction chain according to the spatial distribution data set comprise: For the obtained spatial distribution data set, the region where abnormal fluctuation exists in the mercury vapor migration track is identified, and the concentration curve is compared with the temperature distribution and humidity distribution curve at the same time point to determine the spatial range and time period of the concentration distortion; After determining the concentration distortion region, the concentration distortion region and the adjacent normal region are analyzed for continuity, the concentration deviation caused by airflow disturbance is inferred in combination with the temperature and humidity distribution information, and the abnormal peak value is smoothed and corrected according to the spatial continuity principle; After completing the concentration deviation correction, the corrected mercury vapor migration track is re-integrated to generate a corrected atlas that truly reflects the mercury enrichment trend.

5. The method for evaluating the quality of non-conventional feed according to claim 4, characterized in that, The steps of constructing the amplitude limiting control field based on the corrected atlas comprise: According to the corrected atlas, the mercury vapor migration path and the high-risk area of re-deposition are partitioned and identified, the region where the mercury concentration is continuously higher than the average value is defined as the mercury enrichment sensitive area, and the region where the concentration changes frequently is defined as the mercury migration transition area, and temperature monitoring points and flow rate detection points are arranged in each region to establish temperature and airflow control benchmarks; After completing the region identification and boundary determination, the drying process is dynamically amplitude-limited controlled by adjusting the airflow path and temperature distribution, so that the mercury vapor concentration is kept within a safe range and the re-deposition strength is weakened; During the operation of the amplitude limiting control field, continuous comparison and adaptive correction are carried out based on the real-time collected airflow speed, temperature change and mercury concentration data, so that the mercury deposition distribution on the surface of the feed particles is maintained in a controlled and stable state.

6. The method for evaluating the quality of non-conventional feed according to claim 1, characterized in that, The steps of establishing a feedback regulation mechanism driven by the amplitude limiting control field comprise: On the basis that the amplitude limiting control field is formed and stably operated, a real-time monitoring channel is established to continuously obtain airflow speed, temperature distribution, mercury vapor concentration and particle surface humidity data, and when the continuous monitoring results deviate from the boundary values of the amplitude limiting control field, the feedback regulation mechanism is triggered; After the feedback regulation mechanism is triggered, the drying time window is dynamically corrected according to the state change of the amplitude limiting control field, so as to balance the drying intensity and the mercury vaporization rate; At the same time of correcting the drying time window, the particle residence track in the drying space is dynamically corrected according to the airflow and temperature distribution characteristics of the amplitude limiting control field, so that the contact state of the particles and the airflow is kept coordinated; After completing the correction of the drying time window and the particle residence track, the operation effect of the feedback regulation mechanism is continuously verified and dynamically maintained, so that the drying process is kept in a long-term stable and controlled state.

7. The method for evaluating the quality of non-conventional feed according to claim 6, characterized in that, During the dynamic correction of the drying time window and the particle residence track, the residence time of the particles in the drying space is optimized by adjusting the material conveying direction, controlling the feeding rate and changing the bed thickness, so that the contact time of the mercury vapor and the particle surface is controlled.

8. The method for evaluating the quality of non-conventional feed according to claim 6, characterized in that, The steps of constructing a high-frequency disturbance driving field under the action of the feedback regulation mechanism comprise: After the feedback regulation mechanism is stably operated, the time window and airflow direction of the high-frequency disturbance action are determined according to the temperature distribution and airflow speed field data of the amplitude limiting control field, and multi-directional airflow channels are set in the drying space to form a multi-point intersection airflow action environment; After determining the disturbance opportunity, the high-frequency air flow disturbance process is started, so that the residual mercury on the surface layer of the feed particles is re-dispersed and permeates into the internal structure of the particles under the high-frequency air pressure fluctuation, forming a stable internal distribution state; During the high-frequency disturbance process, the feedback regulation mechanism is combined to monitor the air flow intensity, temperature fluctuation and mercury concentration change in real time, and the air flow disturbance frequency and direction are dynamically adjusted to maintain the stability and controllability of the disturbance process; After the high-frequency disturbance is completed, the feed particles are cooled and stabilized, so that the re-dispersed mercury forms a stable combined state at low temperature and realizes a low-risk distribution.

9. A non-conventional feed quality evaluation system for implementing the method of non-conventional feed quality evaluation as claimed in any one of the preceding claims 1 to 8, wherein, It includes a multi-dimensional sensing monitoring module, a gas-solid interaction analysis module, a phase inversion correction module, a limiting control field construction module, a feedback regulation mechanism module and a high-frequency disturbance driving module; The multi-dimensional sensing monitoring module establishes a multi-dimensional sensing monitoring baseline during the high-temperature drying process of the feed, continuously obtains the mercury vapor concentration gradient, moisture evaporation rate and air flow velocity field data in the feed drying environment, and forms a time sequence feature set reflecting the dynamic change of mercury vaporization; The gas-solid interaction analysis module uses the time sequence feature set to construct a gas-solid interaction analysis model, couples the mercury vapor migration trajectory with the temperature distribution and humidity distribution on the surface of the feed particles, and generates a spatial distribution data set representing the spatial distribution characteristics of the mercury vapor re-deposition area; The phase inversion correction module introduces a phase inversion correction chain based on the spatial distribution data set to dynamically correct the concentration distortion in the mercury vapor migration trajectory, and obtains a corrected map that truly reflects the mercury enrichment trend; The limiting control field construction module constructs a limiting control field based on the corrected map, dynamically adjusts the air flow path and temperature distribution during the high-temperature drying process, weakens the re-deposition intensity of mercury vapor, and keeps the mercury deposition distribution on the surface layer of the feed particles in a controlled state; The feedback regulation mechanism module establishes a feedback regulation mechanism based on the limiting control field as the driving basis, dynamically corrects the drying time window and particle residence trajectory according to real-time monitoring data, and suppresses the continuous vaporization and re-deposition process of mercury; The high-frequency disturbance driving module constructs a high-frequency disturbance driving field under the action of the feedback regulation mechanism, applies high-frequency air flow disturbance to the dried feed particles, makes the residual mercury deposition in the enrichment area on the surface layer of the particles re-disperse into the internal structure of the particles, and forms a low-risk distribution state.

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