Green waste raw material homogenization batching and furnace feeding control method and system based on transportation data

Abstract

The application discloses a green waste raw material homogenization batching and furnace feeding control method and system based on transportation data, and relates to the technical field of gasification raw material processing and control. The method obtains transportation data and plant entry state data of a green waste batch, matches a drying response trajectory according to the plant entry state, determines a transportation influence correction amount based on the transportation data, generates an expected drying response trajectory, and determines a storage area, a loosening method, drying parameters and an order; a control device performs storage, loosening and drying processing, and updates the transportation influence correction amount according to an actual drying response; after drying, a state contribution vector is generated according to moisture content, dry basis mass, coarse and fine material proportion and unit mass conveying load, a target batch with a contribution direction opposite to that of the green waste batch is selected, a calling amount is determined, and a homogenization batching scheme is generated; and according to the scheme, discharge, batching conveying and feeding are controlled, and the batch calling amount or the feeding speed is adjusted according to a pre-furnace detection result, so that the pre-processing adaptability, the homogenization batching accuracy and the furnace feeding stability are improved.

Description

Technical Field

[0001] This invention relates to the field of biomass gasification feedstock processing and process control technology, specifically to a method and system for homogenizing and batching green waste feedstock and controlling its entry into the furnace based on transportation data. Background Technology

[0002] Green waste typically includes branches, twigs, leaves, grass clippings, and other plant-based waste generated during urban landscaping maintenance, roadside greening upkeep, residential greening pruning, and forestry operations. After being crushed, loosened, dried, and processed, this type of green waste can be used as feedstock for biomass gasification in a gasifier, where it is gasified at high temperatures to produce combustible gas, thus realizing the resource utilization of green waste.

[0003] Green waste originates from diverse sources, and the types of plants, pruning methods, and contaminants vary across different collection and transportation areas. During transportation, green waste is also affected by factors such as transport distance, duration, vehicle type, the airtightness of the vehicle compartment, rainfall en route, stops, and abnormal loading and unloading, resulting in different batches of green waste arriving at the plant with varying moisture content, material composition, and compaction levels. Existing waste management systems typically record orders, source locations, transport routes, vehicles, transport times, and abnormal reporting information. However, this transport data is primarily used for vehicle scheduling, transport tracking, and cost management, lacking effective integration with the subsequent storage, loosening, and drying processes of green waste upon arrival at the plant.

[0004] In current green waste treatment processes, storage and drying are typically based on incoming inspection results, or parameters such as drying temperature, drying time, and airflow are directly adjusted based on the current moisture content. This approach primarily determines drying conditions based on the incoming state at a specific moment, without fully considering the impact of transportation on internal moisture migration, compaction, and material looseness. For batches of green waste with similar incoming states but different transportation conditions, their actual moisture content reduction rate, unit mass drying energy consumption, and transport load may still differ. Using the same or fixed drying method can easily lead to insufficient drying of some raw materials, excessively long processing times, or inefficient energy utilization.

[0005] Even after drying, different batches of green waste may still exhibit variations in moisture content, coarse-to-fine material ratio, dry basis weight, and conveying conditions. Current batching methods often involve calling raw materials from different storage bins according to preset proportions, or adjusting the feeding speed based on the moisture content, mass flow rate, and feed load before entering the furnace. These methods typically focus on single indicators or overall average conditions, making it difficult to fully utilize the complementary relationships between different batches of green waste across multiple state dimensions. When a batch deviates from the target feeding state in terms of moisture content, material composition, or conveying load, directly adjusting the feeding speed cannot eliminate the state deviation caused by the raw material composition and may also cause changes in the dry basis supply per unit time, thereby affecting the stability of the gasifier feeding and gas production process.

[0006] Therefore, a control method is needed that can integrate green waste transportation data with post-arrival storage, loosening, and drying processes, and correct for the impact of transportation based on the actual drying response. At the same time, complementary batching is also needed based on the deviation of each batch of green waste after drying relative to the target feed state, and furnace feed adjustment is implemented while maintaining the dry basis supply per unit time, so as to improve the coordination of green waste raw material pretreatment, homogenization batching, and furnace feed control. Summary of the Invention

[0007] The purpose of this invention is to provide a method and system for homogenizing and batching green waste raw materials and controlling their feeding into the furnace based on transportation data, so as to achieve continuous connection between transportation status, drying response, homogenizing and batching and furnace feeding adjustment, and improve the coordination and stability of green waste pretreatment and gasification feeding processes.

[0008] To achieve the above-mentioned technical objectives, the present invention adopts the following technical solution: A method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data, comprising: Obtain transportation data and inbound status data for each batch of green waste. The transportation data includes transportation route, transportation time, vehicle type and transportation anomaly information. The inbound status data includes inbound moisture content, material composition and compaction status. Based on the incoming status data, a standard drying response trajectory is matched; based on the transportation data, the transportation impact correction amount is determined; an expected drying response trajectory is generated; and the storage area, loosening treatment method, drying parameters, and drying sequence are determined. The control equipment performs storage, loosening and drying processes. Based on the rate of decrease in moisture content, drying energy consumption per unit mass and conveying load per unit mass, it forms the actual drying response trajectory, compares it with the expected drying response trajectory, and adjusts the loosening process or drying parameters when there is a deviation, and updates the transportation impact correction amount. After drying, obtain drying state data including drying moisture content, dry basis mass, coarse and fine material ratio, and unit mass conveying load. Generate batch state contribution vectors based on the deviation of each batch from the target feed state of the current gasification task. Select at least two target batches with opposite contribution directions in the state dimensions, determine the call volume, make the combined state fall within the corresponding target range, and generate a homogeneous batching scheme; Control the discharge mechanism, batching and conveying mechanism and feeding mechanism according to the homogeneous batching scheme, obtain the actual moisture content, actual mass flow rate and feeding load before entering the furnace. When any detection result deviates from the corresponding target range, under the condition of maintaining the dry basis supply per unit time, increase the target batch call amount with the opposite direction of contribution and deviance and decrease the target batch call amount with the same direction of contribution. If the deviation still occurs after adjustment, adjust the feeding speed. The transportation data is used to correct the standard drying response trajectory, and the homogenization batching and furnace feeding adjustment are determined based on the batch state contribution vector.

[0009] Optionally, the transportation anomaly information includes at least one of the following: en route stop information, rainfall exposure information, vehicle compartment sealing status, and abnormal loading and unloading information; based on the transportation route length, transportation duration, loading structure corresponding to the vehicle type, and the transportation anomaly information, a moisture content correction amount, a compaction state correction amount, and a material composition confidence correction amount are determined respectively, and the transportation impact correction amount is composed of the moisture content correction amount, the compaction state correction amount, and the material composition confidence correction amount.

[0010] Optionally, the standard drying response trajectory is matched from a preset drying response record based on the incoming moisture content, the material composition, and the compaction state; the standard drying response trajectory includes the trajectory of moisture content change with drying time, the range of drying energy consumption per unit mass, and the range of conveying load per unit mass.

[0011] Optionally, the rate of decrease in moisture content and the range of drying energy consumption per unit mass in the standard drying response trajectory are corrected according to the moisture content correction amount, the range of conveying load per unit mass is corrected according to the compaction state correction amount, and the state detection frequency during the drying process is increased when the material composition confidence is lower than a preset confidence threshold, thereby forming the expected drying response trajectory.

[0012] Optionally, the actual drying response trajectory is compared with the expected drying response trajectory, including determining the deviation direction and degree of the actual moisture content decrease rate, actual unit mass drying energy consumption, and actual unit mass conveying load relative to the corresponding expected range; when the actual moisture content decrease rate is lower than the corresponding expected range, the loosening treatment intensity or drying air flow rate is increased; when the actual unit mass conveying load is higher than the corresponding expected range, the loosening treatment intensity is increased or the material conveying layer thickness is reduced; after adjustment, the actual drying response trajectory is re-formed, and the transport impact correction amount is updated according to the remaining deviation between the re-formed actual drying response trajectory and the expected drying response trajectory.

[0013] Optionally, the batch state contribution vector is formed by normalizing the deviations of the dried moisture content, coarse and fine material ratio, and unit mass conveying load of each green waste batch relative to the corresponding target range. When the corresponding state data is higher than the upper limit of the target range, the corresponding vector component is determined as a positive contribution; when it is lower than the lower limit of the target range, the corresponding vector component is determined as a negative contribution; and when it is within the target range, the corresponding vector component is set to zero.

[0014] Optionally, based on the state contribution vector of each batch, green waste batches with opposite contribution directions in at least two state dimensions of moisture content, coarse and fine material ratio, and unit mass conveying load are selected, and the call-up amount is determined based on the callable mass and dry basis mass of each green waste batch, so that the combined state formed by the weighted sum of the call-up amounts of each target batch is within the corresponding target range, and the dry basis supply per unit time meets the dry basis supply requirements of the current gasification task.

[0015] Optionally, when any pre-furnace detection result deviates from the corresponding target range, the contribution direction of the batch state contribution vector of each target batch in the deviation state dimension is determined. Under the condition of maintaining the dry basis supply per unit time within the range corresponding to the dry basis supply requirement, the target batch call amount with the contribution direction opposite to the detection deviation direction is increased, and the target batch call amount with the contribution direction the same as the detection deviation direction is decreased. When the call amount of each target batch still deviates after reaching the preset adjustable boundary, the feeding speed of the feeding mechanism is adjusted.

[0016] To achieve the above-mentioned technical objectives, the present invention also adopts the following technical solution: A green waste raw material homogenization batching and furnace feeding control system based on transportation data, comprising: The transportation data acquisition module is used to acquire transportation data for each batch of green waste. The incoming status acquisition module is used to acquire the incoming status data of each batch of green waste. The drying response generation module is used to match a standard drying response trajectory based on the incoming status data, determine the transportation impact correction amount based on the transportation data, and generate an expected drying response trajectory based on the transportation impact correction amount. The pre-processing control module is used to determine the storage area, loosening method, drying parameters and drying sequence according to the expected drying response trajectory, and to control the corresponding equipment to perform storage, loosening and drying processes. The drying response correction module is used to form an actual drying response trajectory based on the rate of decrease in moisture content, drying energy consumption per unit mass, and transport load per unit mass, compare the actual drying response trajectory with the expected drying response trajectory, and adjust the loosening treatment method or drying parameters and update the transport impact correction amount based on the comparison results. The drying status acquisition module is used to acquire the drying status data of each batch of green waste; The homogenization batching module is used to obtain the target feed state of the current gasification task, generate a batch state contribution vector based on the deviation of each green waste batch relative to the target feed state, select target batches with opposite contribution directions in at least two state dimensions, determine the call amount of each target batch, and generate a homogenization batching scheme. The furnace feeding control module is used to control the discharge mechanism, the batching and conveying mechanism and the feeding mechanism according to the homogenized batching scheme, and to adjust the call amount or feeding speed of each target batch according to the detection results before entering the furnace. The expected drying response trajectory is formed by correcting the standard drying response trajectory with the transportation influence correction amount. The homogenization batching module and the furnace feeding control module perform batching and furnace feeding adjustments based on the batch state contribution vector.

[0017] Optionally, the transportation data acquisition module is connected to the cleaning and transportation management platform; the inbound status acquisition module is connected to the inbound moisture content detection equipment, material composition detection equipment, and compaction status detection equipment; the pretreatment control module is connected to the silo switching mechanism, loosening equipment, and drying equipment; the drying response correction module is connected to the drying process moisture content detection equipment, energy consumption acquisition equipment, and conveying load detection equipment; the post-drying status acquisition module is connected to the post-drying moisture content detection equipment, weighing equipment, material composition detection equipment, and conveying load detection equipment; the homogenization and batching module is connected to the gasifier control system; and the furnace inlet control module is connected to the discharge mechanism, batching and conveying mechanism, feeding mechanism, and pre-furnace inlet detection equipment.

[0018] The main advantages of this invention compared to existing technologies are as follows: This invention matches a standard drying response trajectory based on the incoming status data of green waste batches, and uses transportation routes, transportation time, vehicle type, and transportation anomaly information to form a transportation impact correction amount to correct the standard drying response trajectory. This allows changes in moisture content, compaction, and material state during transportation to be incorporated into storage, loosening, and drying treatment decisions. Furthermore, the actual drying response trajectory is used to correct the expected drying response trajectory, thereby improving the adaptability of pretreatment paths and drying parameters for different green waste batches and reducing insufficient drying, prolonged processing time, and increased energy consumption caused by fixed treatment methods.

[0019] This invention forms a batch state contribution vector based on the deviation of the dried moisture content, the ratio of coarse to fine materials, and the unit mass conveying load relative to the target feed state. It selects green waste batches with opposite contribution directions in at least two state dimensions for combination, so that different batches complement each other in terms of moisture content, material composition, and conveying state, thereby improving the matching degree between the homogenized batching results and the current gasification task.

[0020] When the detection results before the furnace enter the furnace deviate from the target range, the present invention prioritizes adjusting the call amount of each target batch while maintaining the dry basis supply per unit time. If the deviation still exists after the batch call adjustment, the feeding speed is then adjusted. This reduces the continuous existence of raw material composition deviation and dry basis supply fluctuation caused by relying solely on feeding speed adjustment, thereby improving the stability of the green waste entering the furnace process.

[0021] This invention sequentially links transportation data, incoming inspection data, drying process response data, post-drying status data, and pre-furnace inspection data generated during the collection and transportation phase, thereby achieving continuous management and closed-loop regulation of green waste from transportation, pretreatment, homogenization and batching to furnace control, and improving the coordination and controllability of the green waste resource utilization and gasification process. Attached Figure Description

[0022] Figure 1 This is a system architecture diagram of the green waste raw material homogenization batching and furnace feeding control system of the present invention; Figure 2 This is a flowchart of the steps of the green waste raw material homogenization batching and furnace feeding control method of the present invention. Detailed Implementation

[0023] The following combination Figure 1 and Figure 2 The technical solution of the present invention will be described in detail below. Figure 1 This is a system architecture diagram of the green waste raw material homogenization batching and furnace feeding control system based on transportation data. Figure 2 This is a flowchart illustrating the steps of a method for homogenizing and batching green waste materials and controlling their entry into the furnace based on transportation data.

[0024] In this embodiment, green waste includes branches, leaves, grass clippings, and other plant-based waste generated during landscaping maintenance, roadside greening upkeep, residential greening pruning, and forestry operations. After storage, loosening, drying, and homogenization, the green waste is fed into a gasifier as feedstock for high-temperature gasification to produce combustible gas.

[0025] A green waste batch refers to a group of green waste raw materials that are individually identified and whose processing records are continuously linked, based on the collection order, origin region, transport vehicle, and arrival time. Each green waste batch is tracked using the same batch identifier throughout the transportation, incoming inspection, storage, loosening, drying, post-drying inspection, homogenization batching, and furnace feeding processes.

[0026] In this embodiment, the moisture content is the wet basis mass moisture content. Dry basis mass refers to the mass of solid matter obtained by subtracting the mass of moisture from the mass of wet material in a batch of green waste. The coarse-to-fine material ratio refers to the mass or volume ratio of coarse to fine materials in the corresponding batch of green waste. As one implementation, branches with a length of not less than 50 mm or an equivalent diameter of not less than 10 mm are classified as coarse materials, while leaves, grass clippings, and twigs smaller than the corresponding size are classified as fine materials. The specific classification dimensions can be preset according to the gasifier feed port size, the crushing equipment discharge specifications, and the allowable particle size of the feeding mechanism.

[0027] Unit mass drying energy consumption refers to the ratio of the converted value of heat and electricity consumed by a batch of green waste in the corresponding drying stage to the dry basis mass of that batch of green waste. The unit can be kWh / t dry basis material. Unit mass conveying load is used to characterize the load level borne by the conveying equipment when conveying a unit mass flow rate of green waste raw materials. Unit mass conveying load can be determined by the ratio of the conveying drive current to the rated current and the ratio of the actual mass flow rate to the rated mass flow rate. Specifically, the conveying drive current is first normalized relative to the rated current, and then the actual mass flow rate is normalized relative to the rated mass flow rate. The ratio of the former to the latter is taken as the unit mass conveying load. An increase in unit mass conveying load indicates that the drive load required to convey the same mass of material is increased, which usually corresponds to an increase in the degree of material compaction, entanglement, or conveying resistance.

[0028] The system architecture of this embodiment is shown below: like Figure 1 As shown, the green waste raw material homogenization batching and furnace feeding control system based on transportation data includes a transportation data acquisition module 100, an incoming status acquisition module 200, a drying response generation module 300, a pretreatment control module 400, a drying response correction module 500, a post-drying status acquisition module 600, a homogenization batching module 700, and a furnace feeding control module 800.

[0029] The transportation data acquisition module 100 and the factory entry status acquisition module 200 are respectively connected to the drying response generation module 300. The drying response generation module 300 is respectively connected to the pre-processing control module 400 and the drying response correction module 500. The pre-processing control module 400 is also connected to the drying response correction module 500. The drying response correction module 500 is also connected to the drying response generation module 300 and is used to feed back the updated transportation impact correction amount to the drying response generation module 300.

[0030] The drying state acquisition module 600 is connected to the homogenization and batching module 700, which in turn is connected to the furnace feeding control module 800. The furnace feeding control module 800 is connected to the discharge mechanism 1080, the batching and conveying mechanism 1090, the feeding mechanism 1100, and the pre-furnace testing device 1110.

[0031] The transportation data acquisition module 100 is connected to the waste disposal management platform 910 to acquire the transportation route, transportation time, vehicle type and transportation anomaly information for each batch of green waste.

[0032] The waste collection and transportation management platform 910 includes an order management terminal, a fleet dispatch terminal, a vehicle positioning terminal, and a driver reporting terminal. The order management terminal records the waste collection and transportation order number, the location of the green waste source, the planned loading weight, and the planned arrival time at the plant; the fleet dispatch terminal records the transport vehicle, vehicle type, cargo compartment structure, and driver information; the vehicle positioning terminal records the vehicle location, speed, and dwell status according to a preset sampling period; and the driver reporting terminal is used to report information such as exposure to rainfall, unsealed cargo compartments, reloading and unloading en route, mixing with other materials, or abnormal vehicle dwellings.

[0033] After the vehicle completes its entry registration, the transportation data acquisition module 100 generates a corresponding batch identifier based on the cleaning order number, vehicle number, and arrival time, and associates the transportation route, transportation duration, vehicle type, and transportation anomaly information with the batch identifier.

[0034] The transportation route is determined based on the vehicle's location trajectory and can be further divided into smooth urban roads, roads with frequent stops and starts, bumpy roads, and sloping road sections. Transportation time includes the total time from loading completion to arrival at the processing site, plus the cumulative dwell time en route. Vehicle types include at least dump trucks, box trucks, tarpaulin-covered vehicles, and open-top transport vehicles. Vehicle loading structure includes cargo box volume, cargo box floor structure, unloading method, and actual loading rate.

[0035] When transportation anomaly information is not available, the corresponding anomaly field is recorded as having no anomaly status. When transportation anomaly information is missing, it is not replaced by having no anomaly status, but rather the credibility of the material composition of that batch is reduced to avoid misjudging missing data as normal transportation.

[0036] The incoming status acquisition module 200 is connected to the incoming moisture content detection device 920, the material composition detection device 930, and the compaction status detection device 940, respectively, and is used to acquire the incoming moisture content, material composition, and compaction status of the green waste batch.

[0037] The incoming moisture content testing equipment 920 can employ either a microwave moisture content meter or a near-infrared moisture content meter. During vehicle unloading, multiple points are measured at intervals based on the cumulative unloading mass. For example, moisture content data is collected every 1 ton of material unloaded, and the median of multiple valid test results is used as the incoming moisture content for the corresponding batch. The system can calibrate the online moisture content testing equipment using an oven weighing method according to a preset cycle.

[0038] The material composition detection equipment 930 may include an image acquisition device and an image processing unit located above the unloading conveyor belt. The image acquisition device continuously acquires images of the unloading material. The image processing unit distinguishes between coarse branches, fine branches, leaves, and grass clippings based on the material's outline length, equivalent diameter, surface morphology, and color characteristics. It also determines the proportion of coarse and fine materials based on the coverage area of ​​each type of material in the image and a pre-defined density conversion relationship. Images with a confidence level lower than a preset value are reviewed and marked by the operator.

[0039] The compaction state detection equipment 940 can determine the compaction state based on the vehicle unloading mass, unloading material volume, unloading duration, and unloading mechanism operating load. Specifically, the ratio of unloading mass to the natural accumulation volume after unloading is used as the bulk density, and combined with the unloading amount per unit time and the unloading mechanism drive current, the compaction state is divided into low compaction state, medium compaction state, and high compaction state.

[0040] The incoming status acquisition module 200 associates the incoming moisture content, the ratio of coarse and fine materials, the impurity identification results, and the compaction status with the batch identifier, and sends the associated incoming status data to the drying response generation module 300.

[0041] The drying response generation module 300 is used to match the standard drying response trajectory based on the incoming status data, determine the transportation impact correction amount based on the transportation data, and generate the expected drying response trajectory from the standard drying response trajectory and the transportation impact correction amount.

[0042] The drying response generation module 300 is equipped with a drying response record library. Each preset drying response record includes at least the incoming moisture content range, the ratio range of coarse and fine materials, the compaction state level, the applicable drying equipment, the loosening treatment level, the drying temperature, the drying air flow rate, the material conveying layer thickness, the moisture content range corresponding to different drying times, the drying energy consumption range per unit mass, and the conveying load range per unit mass.

[0043] The drying response record is formed from historical actual processing data. After the drying process of a batch of green waste is completed, the batch's incoming status, processing parameters, and actual drying response data are written into the drying response record database. When the number of valid records accumulated within the same incoming status range reaches a preset number, the corresponding standard drying response trajectory is formed or updated based on the statistical results of the valid records.

[0044] When matching the standard drying response trajectory, first screen candidate records whose incoming moisture content is within the same preset moisture content range, whose coarse and fine material ratios are within the same composition range, and whose compaction state level is the same. If multiple candidate records exist, determine the matching record in ascending order of the difference in incoming moisture content, the difference in the coarse and fine material ratios, and the difference in bulk density. If no perfectly matching record exists, select the record with the smallest state difference from records in adjacent state ranges, and increase the detection frequency of this batch during the drying process.

[0045] The transportation impact correction includes corrections for moisture content, compaction status, and material composition confidence.

[0046] The moisture content correction is determined based on the transportation duration, duration of rainfall exposure, whether the vehicle compartment is sealed, and the duration of stopover en route. When open-type vehicles are transported under rainfall conditions, the moisture content correction is applied in a direction that reduces the expected rate of moisture content decrease and increases the drying energy consumption per unit mass. When sealed vehicles are transported for extended periods without rainfall exposure, the need for correction is determined based on the difference between the moisture content at the factory and the standard record.

[0047] The compaction correction amount is determined based on vehicle type, loading rate, transport duration, and the degree of bumpiness or frequent starts and stops along the transport route. When high-loading vehicles are transported over long, bumpy roads, the compaction correction amount adopts the correction direction of increasing the expected load per unit mass; when low-loading vehicles are transported over short, smooth roads, a lower level of correction is used or no correction is applied.

[0048] The material composition reliability correction factor reflects the reliability of the transportation records and driver-reported information in determining the material composition. In cases of abnormal loading / unloading, material mixing en route, or missing driver-reported information, the material composition reliability factor is reduced, and the frequency of subsequent material composition checks is increased.

[0049] The drying response generation module 300 uses the moisture content state correction amount to correct the rate of moisture content decrease and the unit mass drying energy consumption range in the standard drying response trajectory, uses the compaction state correction amount to correct the unit mass conveying load range, and uses the material composition reliability correction amount to determine the state detection frequency during the drying process, thereby generating the expected drying response trajectory.

[0050] The pre-processing control module 400 is connected to the storage location switching mechanism 950, the loosening equipment 960 and the drying equipment 970 respectively. It is used to determine the storage area, loosening method, drying parameters and drying sequence according to the expected drying response trajectory, and control the corresponding equipment to execute.

[0051] The storage area may include a low moisture content buffer zone, a medium moisture content buffer zone, a high moisture content buffer zone, a high-compaction raw material buffer zone, and a verification buffer zone. The storage location switching mechanism 950 may use an electric guide plate or a reversing gate located at the branch position of the unloading conveyor line to transport the corresponding green waste batch to the designated area according to the batch identification and storage area control instructions.

[0052] The loosening equipment 960 can be a drum-type loosening device with a feeding roller and untangling teeth. The loosening intensity can be divided into three loosening grades: first loosening grade, second loosening grade, and third loosening grade. The first loosening grade is used for low-compaction batches, with a feeding roller speed of 10-20 r / min; the second loosening grade is used for medium-compaction batches, with a feeding roller speed of 20-35 r / min; and the third loosening grade is used for high-compaction or significantly entangled batches, with a feeding roller speed of 35-50 r / min, and can perform two loosening processes.

[0053] The drying equipment 970 can be a belt-type hot air dryer. In one implementation, the drying temperature can be set to 60–100℃, the drying airflow velocity can be set to 0.8–2.5 m / s, and the material conveying layer thickness can be set to 100–300 mm. The pretreatment control module 400 determines the specific drying temperature, airflow rate, material layer thickness, and conveying speed based on the expected drying response trajectory.

[0054] The drying sequence is determined based on the processing attributes of each batch, the expected drying response trajectory, the occupancy status of the drying equipment, and subsequent gasification tasks, and is used to coordinate the order in which different batches enter the drying equipment.

[0055] The drying response correction module 500 is connected to the moisture content detection device 980, the energy consumption acquisition device 990, and the conveying load detection device 1010 during the drying process, respectively. It is used to form the actual drying response trajectory, compare the actual drying response trajectory with the expected drying response trajectory, and adjust the loosening treatment method or drying parameters and update the transportation impact correction amount according to the comparison results.

[0056] Moisture content detection equipment 980 is arranged at intervals along the conveying direction of drying equipment 970, or it detects the moisture content of the same batch of green waste according to a preset time period. Energy consumption acquisition equipment 990 collects the electrical and thermal energy consumption of the heating unit, air supply unit, and conveying unit of the drying equipment. Conveying load detection equipment 1010 collects the current, torque, and actual mass flow rate of the conveying drive motor of the drying equipment.

[0057] The drying response correction module 500 generates actual drying response data according to a fixed detection window. For example, using 10 minutes as a detection window, it determines the rate of moisture content decrease, unit mass drying energy consumption, and unit mass conveying load for each detection window, and arranges the data from consecutive detection windows in chronological order to form the actual drying response trajectory.

[0058] The rate of decrease in moisture content is determined by subtracting the moisture content at the end of the detection window from the moisture content at the beginning of the detection window, and then dividing by the duration of the detection window.

[0059] The energy consumption per unit mass of drying is determined by uniformly converting the thermal and electrical energy consumed by the drying equipment within the detection window into energy values, and then dividing by the dry basis mass of the corresponding batch within that detection window.

[0060] The load per unit mass is determined by the ratio of the driving current to the rated current and the ratio of the actual mass flow rate to the rated mass flow rate. The higher the ratio of the driving current and the lower the ratio of the actual mass flow rate, the higher the load per unit mass.

[0061] When the actual rate of decrease in moisture content is lower than the lower limit of the expected range for two consecutive detection windows, increase the loosening treatment intensity, the drying air flow rate, or reduce the material conveying layer thickness; when the actual unit mass conveying load is higher than the upper limit of the expected range for two consecutive detection windows, increase the loosening treatment intensity or reduce the material conveying layer thickness; when the unit mass drying energy consumption is higher than the expected range and the rate of decrease in moisture content does not increase synchronously, reduce the drying temperature or adjust the drying airflow distribution.

[0062] After the adjustment is completed, the drying response correction module 500 regenerates the actual drying response trajectory. If the regenerated actual drying response trajectory still has a residual deviation in a stable direction from the expected drying response trajectory, the direction and degree of the residual deviation are converted into updated values ​​of the corresponding transport impact correction amount and fed back to the drying response generation module 300.

[0063] The drying state acquisition module 600 is connected to the drying moisture content detection device 1020, the weighing device 1030, the material composition detection device 1040, and the conveying load detection device 1050 respectively, and is used to acquire the drying state data of each batch of green waste.

[0064] The moisture content testing device 1020 detects the actual moisture content of the material after drying. The weighing device 1030 obtains the mass of the dried wet material and determines the dry basis mass based on the moisture content. Specifically, the dry basis mass of the corresponding batch is obtained by multiplying the mass of the dried wet material by one and subtracting the moisture content.

[0065] The material composition testing equipment 1040 re-tests the ratio of coarse to fine materials to eliminate the impact of material breakage during loosening and drying on the composition ratio. The conveying load testing equipment 1050 tests the unit mass conveying load under uniform testing conveying speed and uniform material layer thickness.

[0066] The drying status acquisition module 600 also records the available mass and location of the corresponding green waste batch. Green waste batches that have reached the preset safe moisture content and whose unit mass conveying load does not exceed the equipment's allowable upper limit are marked as available batches; batches that have not reached the safe moisture content continue to enter the drying process; batches with impurities or abnormalities or whose unit mass conveying load exceeds the safe upper limit are entered into the review buffer area.

[0067] The homogenization batching module 700 is connected to the gasifier control system 1060 to obtain the target feed status of the current gasification task and generate a batch status contribution vector based on the deviation of each green waste batch relative to the target feed status.

[0068] The target feed status includes at least the target moisture content range, the target coarse material ratio range, the target unit mass conveying load range, and the required dry basis supply per unit time. The gasifier control system 1060 can determine the target feed status based on the target gas production, current furnace temperature, furnace pressure difference, rated capacity of the feeding mechanism, and historical stable operating data, and send it to the homogenization and batching module 700.

[0069] The homogenization batching module 700 compares the dried moisture content, coarse material ratio, and unit mass conveying load of each callable batch with the corresponding target range, and determines the normalization deviation for each status data.

[0070] When the corresponding state data is higher than the upper limit of the target range, the positive contribution component is obtained by dividing the difference between the state data and the upper limit of the target range by the width of the target range; when the corresponding state data is lower than the lower limit of the target range, the negative contribution component is obtained by dividing the difference between the state data and the lower limit of the target range by the width of the target range; when the corresponding state data is within the target range, the corresponding contribution component is set to zero.

[0071] The contribution components are combined in a fixed order based on the dried moisture content, the proportion of coarse material, and the unit mass conveying load to form a batch state contribution vector. The positive and negative signs in the batch state contribution vector indicate the direction of deviation of the corresponding batch relative to the target feed state, and the absolute value of the contribution component indicates the degree of deviation.

[0072] The homogenized batching module 700 prioritizes green waste batches that contribute in opposite directions in at least two state dimensions as target batches. For example, if the first green waste batch has a moisture content lower than the target range, a coarse material ratio higher than the target range, and a unit mass conveying load higher than the target range, while the second green waste batch has a moisture content higher than the target range, a coarse material ratio lower than the target range, and a unit mass conveying load lower than the target range, then the first and second green waste batches have opposite contribution directions in three state dimensions and can form a complementary batching combination.

[0073] The homogenization batching module 700 determines the amount to be called based on the available mass, dry basis mass and silo discharge capacity of each target batch, so that the combined moisture content, combined coarse material ratio and combined unit mass conveying load formed by weighting the amount to be called are all within the corresponding target range, while ensuring that the dry basis supply per unit time meets the requirements of the current gasification task.

[0074] The combined moisture content is determined by multiplying the amount of wet material used in each target batch by the corresponding moisture content after drying, then adding the results of each batch, and dividing by the sum of the amounts of wet material used in all target batches.

[0075] The combined coarse material ratio is determined by multiplying the wet material call amount of each target batch by the corresponding coarse material ratio, adding the results together, and then dividing by the sum of the wet material call amounts of all target batches.

[0076] The combined unit mass conveying load is determined by multiplying the wet material call amount of each target batch by the corresponding unit mass conveying load, adding the results together, and dividing by the sum of the wet material call amounts of all target batches.

[0077] The dry basis supply per unit time is determined by multiplying the wet material dispensing amount per unit time for each target batch by the corresponding dry matter ratio, and then adding the dry basis supply amounts obtained for each batch. The dry matter ratio is a ratio obtained by subtracting the moisture content of the corresponding batch after drying.

[0078] The furnace inlet control module 800 is connected to the discharge mechanism 1080, the batching and conveying mechanism 1090, the feeding mechanism 1100, and the furnace inlet detection equipment 1110.

[0079] The discharge mechanism 1080 includes discharge gates and weighing feeders for each storage area, used to output the corresponding green waste raw materials according to the target batch call quantity. The batching and conveying mechanism 1090 includes multiple inflow branches and a mixing conveyor belt, used to combine green waste raw materials from different storage areas according to a homogenization batching scheme. The feeding mechanism 1100 is used to send the mixed green waste raw materials into the gasifier.

[0080] The pre-furnace testing equipment 1110 includes a pre-furnace moisture content detection unit, a mass flow rate detection unit, and a feed load detection unit. The furnace control module 800 compares the actual pre-furnace moisture content, actual mass flow rate, and feed load with the corresponding target ranges.

[0081] When any detection result deviates from the corresponding target range, the furnace feed control module 800 first adjusts the call amount according to the batch status contribution vector of each target batch. During the adjustment process, the dry basis supply per unit time is kept within the range corresponding to the current gasification task. Only when there is still a deviation after the call amount of each target batch reaches the preset adjustable boundary will the furnace feed control module 800 adjust the feeding speed of the feeding mechanism 1100.

[0082] The control method in this embodiment is as follows: like Figure 2 As shown, the method for homogenizing and batching green waste materials and controlling their entry into the furnace based on transportation data includes steps S1 to S6.

[0083] Step S1: Obtain transportation data and arrival status data for each batch of green waste. Obtain transportation data and arrival status data for each batch of green waste. Transportation data includes transportation route, transportation time, vehicle type and transportation anomaly information. Arrival status data includes arrival moisture content, material composition and compaction status.

[0084] After the waste collection vehicles arrive at the processing site, the transportation data acquisition module 100 retrieves the vehicle location trajectory, departure time, arrival time, vehicle type, cargo box structure, loading rate, and driver-reported information from the waste collection management platform 910 for the corresponding order. Based on the vehicle location trajectory, the actual transportation route length, cumulative dwell time, and travel time corresponding to different road types are calculated.

[0085] The incoming status acquisition module 200 acquires the incoming moisture content, material composition, and compaction status during the vehicle unloading process. At least three sets of moisture content data are collected for each batch, with detection locations corresponding to the initial, middle, and final stages of unloading. When the difference between the maximum and minimum values ​​of the three moisture content sets exceeds a preset difference, the sampling quantity is increased, and the median value of all valid detection results is used as the incoming moisture content.

[0086] Material composition is obtained using material composition detection equipment 930. The sum of the proportions of coarse and fine materials is 100%. Compaction status is determined jointly by bulk density, unloading speed, and unloading mechanism load. When at least two of the following conditions are met—bulk density, decrease in unloading rate per unit time, and unloading drive load—the corresponding batch is determined to be in a high-compaction state.

[0087] Both transportation data and arrival status data are linked to batch identifiers. The system does not use vehicles as subsequent batching units, but rather uses green waste batches that have completed arrival registration and have independent drying records as the smallest tracking unit.

[0088] Step S2: Match the standard drying response trajectory, generate the expected drying response trajectory, and determine the pretreatment method. Based on the incoming status data, a standard drying response trajectory is matched. Based on the transportation data, the transportation impact correction amount is determined, the expected drying response trajectory is generated, and the storage area, loose handling method, drying parameters, and drying sequence are determined.

[0089] First, based on the incoming moisture content, the ratio of coarse to fine materials, and the compaction state, a standard drying response trajectory is matched from the drying response record library. The standard drying response trajectory includes at least multiple detection times corresponding to moisture content ranges, unit mass drying energy consumption ranges, and unit mass conveying load ranges.

[0090] For example, green waste batches with an incoming moisture content of 40%–50%, a coarse material ratio of 60%–75%, and in a high-compact state can be matched with the standard drying response record for high-moisture coarse branches; green waste batches with an incoming moisture content of 25%–35%, a coarse material ratio of less than 40%, and in a low-compact state can be matched with the standard drying response record for low-moisture fine materials.

[0091] Secondly, based on the transportation data, the correction amounts for moisture content, compaction state, and material composition reliability were determined.

[0092] The moisture content correction is determined using a tiered rule. For open-type vehicles exposed to rainfall, the expected rate of moisture content decrease in the standard drying response trajectory is reduced, and the expected drying energy consumption per unit mass range is increased. For enclosed vehicles not exposed to rainfall and with a transport time less than the preset time, no moisture content correction is implemented.

[0093] The compaction condition correction is determined jointly based on the transportation route, transportation time, vehicle loading structure, and the compaction condition upon arrival at the plant. When the transportation distance is long, the vehicle loading rate is high, and the compaction condition upon arrival at the plant is high, the expected unit mass transport load range is increased, and a higher loosening treatment level is configured.

[0094] The material composition reliability correction amount is determined based on abnormal loading and unloading, material mixing during transit, and the completeness of data reported by the driver. When the material composition reliability is lower than the preset reliability threshold, the detection frequency of material composition and moisture content during the drying process is increased by one level.

[0095] Subsequently, the standard drying response trajectory is corrected using the transportation impact correction amount to form the expected drying response trajectory, and the storage area, loosening treatment level, drying temperature, drying air flow rate, material conveying layer thickness and drying sequence are determined based on the expected drying response trajectory.

[0096] Step S3: Perform storage, loosening, and drying processes and adjust for transportation impacts. The control equipment performs storage, loosening, and drying processes. Based on the rate of decrease in moisture content, drying energy consumption per unit mass, and conveying load per unit mass, it forms an actual drying response trajectory. The actual drying response trajectory is compared with the expected drying response trajectory. If there is a deviation, the loosening process or drying parameters are adjusted, and the transportation impact correction is updated.

[0097] Within each detection window, the drying response correction module 500 determines the rate of moisture content decrease, drying energy consumption per unit mass, and conveying load per unit mass.

[0098] The rule for determining the rate of decrease in moisture content is as follows: obtain the moisture content corresponding to the start and end times of the current detection window, subtract the moisture content at the end time from the moisture content at the start time to obtain the amount of decrease in moisture content within the detection window, and then divide the amount of decrease in moisture content by the duration of the detection window to obtain the rate of decrease in moisture content.

[0099] The rule for determining the drying energy consumption per unit mass is as follows: collect the heat and electrical energy consumed by the heating unit, air supply unit and conveying unit within the current detection window, convert the different forms of energy to the same energy unit and add them together to obtain the total drying energy consumption of the current detection window; then divide the total drying energy consumption by the dry basis mass of the corresponding green waste batch within the current detection window to obtain the drying energy consumption per unit mass.

[0100] The rule for determining the unit mass conveying load is as follows: obtain the average value of the conveying drive current within the current detection window, divide it by the rated current of the conveying drive motor to obtain the drive load ratio; obtain the actual mass flow rate within the current detection window, divide it by the rated mass flow rate of the conveying equipment to obtain the mass flow rate ratio; then divide the drive load ratio by the mass flow rate ratio to obtain the unit mass conveying load.

[0101] The drying response correction module 500 arranges the moisture content decrease rate, unit mass drying energy consumption, and unit mass conveying load determined by each detection window in chronological order to form the actual drying response trajectory.

[0102] When the actual rate of moisture content decrease is lower than expected, prioritize increasing the loosening treatment intensity or the drying air flow rate. When the actual unit mass conveying load is higher than expected, prioritize increasing the loosening treatment intensity or reducing the material conveying layer thickness. When the unit mass drying energy consumption is higher than expected and the rate of moisture content decrease does not increase synchronously, reduce ineffective heat input and redistribute the drying airflow.

[0103] After adjustment, continue collecting data from at least two detection windows to reconstruct the actual drying response trajectory. If the reconstructed actual drying response trajectory still deviates stably from the expected drying response trajectory, update the transport impact correction amount according to the direction and degree of the remaining deviation.

[0104] Specifically, if the actual rate of decrease in moisture content is consistently lower than the expected range, the correction level representing the difficulty of drying in the moisture content correction amount will be increased; if the actual unit mass conveying load is consistently higher than the expected range, the compaction state correction amount will be increased; if the material composition test results consistently deviate from the composition of the incoming material within multiple test windows, the reliability of the material composition will be reduced.

[0105] The update of the transportation impact correction amount first applies to the subsequent drying stage of the current batch. After a preset number of historical batches with the same transportation route, vehicle type, and transportation anomaly category are reached, the correction results verified by multiple batches are written into the historical correction record of the corresponding transportation conditions, avoiding the direct change of correction rules for other batches by a single abnormal batch.

[0106] Step S4: Obtain the dried state data and generate the batch state contribution vector. After drying, data on the dried state, including moisture content, dry basis mass, coarse and fine material ratio, and unit mass conveying load, are obtained. A batch state contribution vector is generated based on the deviation of each green waste batch from the target feed state of the current gasification task.

[0107] The target feed conditions for the current gasification task include the target moisture content range, the target coarse material ratio range, the target unit mass conveying load range, and the dry basis supply requirement per unit time.

[0108] The moisture content after drying was obtained by the moisture content testing equipment 1020. The dry basis mass was determined based on the mass of the wet material after drying and the moisture content after drying. Specifically, the dry matter ratio was obtained by subtracting the moisture content after drying from one, and then the dry basis mass was obtained by multiplying the mass of the wet material after drying by the dry matter ratio.

[0109] The ratio of coarse to fine materials was retested using material composition testing equipment 1040. The unit mass conveying load was tested under conditions of uniform conveying speed and uniform material layer thickness to minimize the impact of differences in equipment operating conditions on the comparison results between different batches.

[0110] For each callable batch, the homogenizing batching module 700 compares the relationship between its dried moisture content, coarse material ratio, and unit mass conveying load and the corresponding target range.

[0111] When the state data is higher than the upper limit of the target range, calculate the difference between the state data and the upper limit of the target range, and then divide the difference by the range width between the upper and lower limits of the target range. The result is used as the positive contribution component.

[0112] When the status data is below the lower limit of the target range, the difference between the status data and the lower limit of the target range is calculated, and then this difference is divided by the target range width. Since this difference is negative, the result is taken as a negative contribution component.

[0113] When the state data is within the target range, the corresponding contribution component is set to zero.

[0114] Three contribution components are arranged in a fixed order based on the moisture content after drying, the proportion of coarse material, and the unit mass conveying load, forming a batch state contribution vector. A positive contribution indicates that the corresponding state is above the target range, a negative contribution indicates that the corresponding state is below the target range, and zero contribution indicates that the corresponding state is within the target range. The larger the absolute value of the contribution component, the greater the degree to which the corresponding state deviates from the target range.

[0115] Dry basis quality is not used as the state dimension in the batch state contribution vector, but is used in step S5 to determine the call amount of each target batch and to verify the dry basis supply per unit time.

[0116] Step S5: Select the target batch and generate a homogenized batching plan Select at least two target batches with opposite contribution directions in the state dimensions, determine the call volume, and ensure that the combined state is within the corresponding target range to generate a homogeneous batching scheme.

[0117] The homogenization batching module 700 first filters any two batches from the available batches. When two batches have positive and negative contributions respectively in at least two of the state dimensions of moisture content, coarse material ratio, and unit mass conveying load, the two batches are identified as candidate complementary batches.

[0118] When multiple candidate combinations exist, priority is given to combinations whose callable quality meets the current batching cycle, whose storage location can discharge synchronously, and whose contribution percentage is relatively small. If two batches cannot bring all combinations into the target range, a third or more target batches can be added.

[0119] The combined moisture content is determined by weighting the amount of wet material used in each target batch. Specifically, the amount of wet material used per unit time for each target batch is multiplied by the moisture content of that batch after drying. The results of each batch are added together and then divided by the sum of the amount of wet material used per unit time for all target batches to obtain the combined moisture content.

[0120] The proportion of coarse materials in the combination is determined using the same call amount weighting rule, that is, the unit time wet material call amount of each target batch is multiplied by the corresponding coarse material proportion, the results are added together and then divided by the sum of the unit time wet material call amounts of all target batches.

[0121] The combined unit mass conveying load is also weighted according to the unit time wet material call amount of each target batch. The wet material call amount of each target batch is multiplied by the corresponding unit mass conveying load and summed, and then divided by the sum of the unit time wet material call amounts of all target batches.

[0122] The dry basis supply per unit time is determined based on the amount of wet material used in each target batch and the corresponding moisture content after drying. For each target batch, the dry matter ratio is obtained by subtracting the moisture content after drying from one, and then the dry matter ratio is multiplied by the amount of wet material used per unit time to obtain the dry basis supply per unit time for that batch. The dry basis supply per unit time of all target batches is added together to obtain the combined dry basis supply per unit time.

[0123] The homogenization batching module 700 adjusts the call quantity within the range of callable mass, maximum discharge capacity of silo, and allowable flow rate of feeding mechanism for each target batch, so that the combined moisture content, combined coarse material ratio, and combined unit mass conveying load are all within the corresponding target range, and the dry basis supply per unit time is within the range required by the current gasification task.

[0124] The homogenized batching scheme should include at least the target batch identifier, the corresponding storage location, the unit time call amount of each target batch, the start and end times of discharge, the operating speed of the batching conveyor and the initial feeding speed of the feeding mechanism.

[0125] Step S6: Execute the homogenization batching plan and adjust the furnace feed. The discharge mechanism, batching and conveying mechanism, and feeding mechanism are controlled according to the homogeneous batching scheme to obtain the actual moisture content, actual mass flow rate, and feeding load before entering the furnace. If any detection result deviates from the corresponding target range, while maintaining the dry basis supply per unit time, the target batch call amount in the opposite direction of contribution and the target batch call amount in the same direction of contribution are increased and decreased. If the deviation still occurs after adjustment, the feeding speed is adjusted.

[0126] For example, when the actual moisture content before entering the furnace is higher than the upper limit of the target range, the contribution direction of each target batch in the moisture content state dimension is determined. For target batches with a negative moisture content contribution component, their allocation is increased; for target batches with a positive moisture content contribution component, their allocation is decreased.

[0127] When maintaining the dry basis supply per unit time, the increase in dry basis supply resulting from increasing the call volume of a certain target batch should correspond to the decrease in dry basis supply resulting from decreasing the call volume of another target batch.

[0128] Specifically, the increase in the amount of material to be supplied is first multiplied by the dry matter ratio of the batch being increased to obtain the increased dry basis supply per unit time; then, this increase in dry basis supply is divided by the dry matter ratio of the batch being reduced to obtain the amount of wet material to be supplied that should be reduced for the batch being reduced. This allows for changes in the raw material composition while maintaining a relatively stable dry basis supply per unit time.

[0129] When the feed load is higher than the target range, increase the target batch call quantity with a negative contribution component of the unit mass conveying load and decrease the target batch call quantity with a positive contribution component.

[0130] When the actual mass flow rate deviates from the target range, but the actual moisture content and feed load before entering the furnace are within the corresponding target range, adjust the synchronous discharge amount of each discharge mechanism so that the actual total call amount of multiple target batches is restored to the total call amount specified in the homogeneous batching scheme.

[0131] After each adjustment of the call quantity, the combined moisture content, combined coarse material ratio, combined unit mass conveying load, and unit time dry basis supply are redefined. The adjusted call instruction is output to the discharge mechanism 1080 only if the redefined results still meet the constraints of the current gasification task.

[0132] When the call volume of each target batch reaches the corresponding preset adjustable boundary, and the pre-feeding test result still deviates from the corresponding target range, the feeding speed of the feeding mechanism 1100 is adjusted. The adjustment range of the feeding speed is determined based on the difference between the actual mass flow rate and the target mass flow rate, and is limited by the rated speed of the feeding mechanism and the allowable feed variation range of the gasifier.

[0133] After adjusting the feeding speed, the furnace control module 800 continues to collect the actual moisture content, actual mass flow rate and feeding load before feeding into the furnace until all detection results return to the corresponding target range, or outputs a pause feeding and manual verification command.

[0134] A specific running example of this embodiment is shown below: A certain processing plant receives the first batch of green waste, A, and the second batch of green waste, B.

[0135] The first batch of green waste, A, was transported by open-top dump trucks over a route of 42km, taking 95 minutes, with 28 minutes of rain exposure en route. The incoming moisture content of the first batch of green waste, A, was 48%, the proportion of coarse materials was 68%, and it was in a high-compacted state.

[0136] The second batch of green waste, B, was transported by tarpaulin-covered vehicles over a route of 18 km and a transport time of 40 minutes, with no exposure to rain or abnormal loading and unloading. The moisture content of the second batch of green waste, B, upon arrival at the plant was 32%, the proportion of coarse materials was 32%, and the compaction state was low-compact.

[0137] The system matches the standard drying response trajectory for high-moisture coarse branches based on the incoming state of the first batch of green waste A, and generates moisture content correction and high-grade compaction correction based on rainfall exposure and long-distance transportation. The pretreatment control module 400 allocates the first batch of green waste A to the high-compaction raw material buffer area, adopts the third loose grade treatment, sets the drying temperature to 85℃, the airflow velocity to 1.8m / s, and the material conveying layer thickness to 180mm.

[0138] The system matches the standard drying response trajectory for low-moisture fine materials based on the incoming status of the second batch of green waste B. It then allocates the second batch of green waste B to the low-moisture buffer zone, uses the first loose grade treatment, sets the drying temperature to 70℃, the airflow velocity to 1.2m / s, and the material conveying layer thickness to 220mm.

[0139] The actual moisture content decrease rate during the initial drying stage of the first batch of green waste A was lower than expected, and the unit mass conveying load was higher than expected. The pretreatment control module 400 increased the feed roller speed from 38 r / min to 45 r / min and reduced the material conveying layer thickness from 180 mm to 150 mm. After adjustment, the actual moisture content decrease rate fell within the expected range, and the unit mass conveying load decreased to the expected range.

[0140] After drying, the first batch of green waste A had a moisture content of 14%, a coarse material ratio of 68%, and a unit mass conveying load of 1.12; the second batch of green waste B had a moisture content of 20%, a coarse material ratio of 32%, and a unit mass conveying load of 0.86.

[0141] The target moisture content range for the current gasification task is 15%–18%, the target coarse material ratio range is 45%–55%, the target unit mass conveying load range is 0.90–1.05, and the required dry basis supply per unit time is 1.18–1.22 t / h.

[0142] The first batch of green waste, A, has a negative contribution in the moisture content dimension and a positive contribution in the coarse material ratio and unit mass conveying load dimensions. The second batch of green waste, B, has a positive contribution in the moisture content dimension and a negative contribution in the coarse material ratio and unit mass conveying load dimensions. The two batches have opposite contribution directions in all three dimensions.

[0143] The homogenization batching module 700 determines that the unit time call volume for the first green waste batch A and the second green waste batch B is 0.72 t / h. Based on the weighted result of the call volume, the combined moisture content is approximately 17%, the combined coarse material ratio is 50%, and the combined unit mass conveying load is approximately 0.99.

[0144] The first batch of green waste, A, has a dry matter content of 86% and a dry basis supply of approximately 0.619 t / h. The second batch of green waste, B, has a dry matter content of 80% and a dry basis supply of approximately 0.576 t / h. The combined dry basis supply of the two batches is approximately 1.195 t / h, which is within the current gasification task requirements.

[0145] During the process, the actual moisture content before entering the furnace once rose to 18.6%. The furnace entry control module 800 increased the amount of the first green waste batch A, whose moisture content contribution direction was negative, and decreased the amount of the second green waste batch B, whose moisture content contribution direction was positive.

[0146] The call volume of the first green waste batch A increases by 0.08 t / h, corresponding to an increase in dry basis supply per unit time of approximately 0.0688 t / h. To maintain the dry basis supply per unit time, this increase in dry basis supply is divided by the 80% dry matter ratio of the second green waste batch B, determining that the call volume of the second green waste batch B decreases by approximately 0.086 t / h.

[0147] After adjustment, the actual moisture content before entering the furnace was restored to the target range, and the dry basis supply per unit time remained within the corresponding requirement range. Therefore, the feeding speed of the feeding mechanism 1100 was not adjusted.

[0148] The above implementation method corrects the standard drying response trajectory by using transportation data, corrects the transportation impact by using the actual drying response, and organizes complementary batching based on the batch state contribution vector after drying, so as to form a continuous data and control link between transportation data, pretreatment process, post-drying state and furnace control.

[0149] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data, characterized in that, include: Obtain transportation data and inbound status data for each batch of green waste. The transportation data includes transportation route, transportation time, vehicle type and transportation anomaly information. The inbound status data includes inbound moisture content, material composition and compaction status. Based on the incoming status data, a standard drying response trajectory is matched; based on the transportation data, the transportation impact correction amount is determined; an expected drying response trajectory is generated; and the storage area, loosening treatment method, drying parameters, and drying sequence are determined. The control equipment performs storage, loosening and drying processes. Based on the rate of decrease in moisture content, drying energy consumption per unit mass and conveying load per unit mass, it forms the actual drying response trajectory, compares it with the expected drying response trajectory, and adjusts the loosening process or drying parameters when there is a deviation, and updates the transportation impact correction amount. After drying, obtain drying state data including drying moisture content, dry basis mass, coarse and fine material ratio, and unit mass conveying load. Generate batch state contribution vectors based on the deviation of each batch from the target feed state of the current gasification task. Select at least two target batches with opposite contribution directions in the state dimensions, determine the call volume, make the combined state fall within the corresponding target range, and generate a homogeneous batching scheme; Control the discharge mechanism, batching and conveying mechanism and feeding mechanism according to the homogeneous batching scheme, obtain the actual moisture content, actual mass flow rate and feeding load before entering the furnace. When any detection result deviates from the corresponding target range, under the condition of maintaining the dry basis supply per unit time, increase the target batch call amount with the opposite direction of contribution and deviance and decrease the target batch call amount with the same direction of contribution. If the deviation still occurs after adjustment, adjust the feeding speed. The transportation data is used to correct the standard drying response trajectory, and the homogenization batching and furnace feeding adjustment are determined based on the batch state contribution vector.

2. The method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data according to claim 1, characterized in that, The transportation anomaly information includes at least one of the following: en route stop information, rainfall exposure information, vehicle compartment sealing status, and abnormal loading and unloading information; based on the transportation route length, transportation duration, loading structure corresponding to the vehicle type, and the transportation anomaly information, correction amounts for moisture content, compaction status, and material composition reliability are determined respectively, and the transportation impact correction amounts are composed of the moisture content correction amounts, the compaction status correction amounts, and the material composition reliability correction amounts.

3. The method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data according to claim 2, characterized in that, Based on the incoming moisture content, the material composition, and the compaction state, the standard drying response trajectory is matched from the preset drying response record; the standard drying response trajectory includes the trajectory of moisture content change with drying time, the range of drying energy consumption per unit mass, and the range of conveying load per unit mass.

4. The method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data according to claim 3, characterized in that, The moisture content decrease rate and unit mass drying energy consumption range in the standard drying response trajectory are corrected according to the moisture content correction amount, the unit mass conveying load range is corrected according to the compaction state correction amount, and the state detection frequency during the drying process is increased when the material composition confidence is lower than the preset confidence threshold, thereby forming the expected drying response trajectory.

5. The method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data according to claim 4, characterized in that, The actual drying response trajectory is compared with the expected drying response trajectory, including determining the deviation direction and degree of the actual moisture content decrease rate, actual unit mass drying energy consumption, and actual unit mass conveying load relative to the corresponding expected range; when the actual moisture content decrease rate is lower than the corresponding expected range, the loosening treatment intensity or drying air flow rate is increased; when the actual unit mass conveying load is higher than the corresponding expected range, the loosening treatment intensity is increased or the material conveying layer thickness is reduced; after adjustment, the actual drying response trajectory is re-formed, and the transport impact correction amount is updated according to the remaining deviation between the re-formed actual drying response trajectory and the expected drying response trajectory.

6. The method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data according to claim 1, characterized in that, The batch state contribution vector is formed by normalizing the deviations of the dried moisture content, coarse and fine material ratio, and unit mass conveying load of each green waste batch relative to the corresponding target range. When the corresponding state data is higher than the upper limit of the target range, the corresponding vector component is determined as a positive contribution; when it is lower than the lower limit of the target range, the corresponding vector component is determined as a negative contribution; and when it is within the target range, the corresponding vector component is set to zero.

7. The method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data according to claim 6, characterized in that, Based on the state contribution vector of each batch, green waste batches with opposite contribution directions in at least two state dimensions of moisture content, coarse and fine material ratio, and unit mass conveying load are selected. The call-up amount is determined based on the callable mass and dry basis mass of each green waste batch, so that the combined state formed by the weighted sum of the call-up amounts of each target batch is within the corresponding target range, and the dry basis supply per unit time meets the dry basis supply requirements of the current gasification task.

8. The method for homogenizing and batching green waste raw materials and controlling their entry into the furnace based on transportation data according to claim 7, characterized in that, When any pre-furnace detection result deviates from the corresponding target range, the contribution direction of the batch state contribution vector of each target batch in the deviation state dimension is determined. Under the condition of maintaining the dry basis supply per unit time within the range corresponding to the dry basis supply requirement, the number of target batches called with the contribution direction opposite to the detection deviation direction is increased, and the number of target batches called with the contribution direction the same as the detection deviation direction is decreased. If there is still a deviation after the call amount of each target batch reaches the preset adjustable boundary, the feeding speed of the feeding mechanism is adjusted.

9. A green waste raw material homogenization batching and furnace feeding control system based on transportation data, characterized in that, include: The transportation data acquisition module is used to acquire transportation data for each batch of green waste. The incoming status acquisition module is used to acquire the incoming status data of each batch of green waste. The drying response generation module is used to match a standard drying response trajectory based on the incoming status data, determine the transportation impact correction amount based on the transportation data, and generate an expected drying response trajectory based on the transportation impact correction amount. The pre-processing control module is used to determine the storage area, loosening method, drying parameters and drying sequence according to the expected drying response trajectory, and to control the corresponding equipment to perform storage, loosening and drying processes. The drying response correction module is used to form an actual drying response trajectory based on the rate of decrease in moisture content, drying energy consumption per unit mass, and transport load per unit mass, compare the actual drying response trajectory with the expected drying response trajectory, and adjust the loosening treatment method or drying parameters and update the transport impact correction amount based on the comparison results. The drying status acquisition module is used to acquire the drying status data of each batch of green waste; The homogenization batching module is used to obtain the target feed state of the current gasification task, generate a batch state contribution vector based on the deviation of each green waste batch relative to the target feed state, select target batches with opposite contribution directions in at least two state dimensions, determine the call amount of each target batch, and generate a homogenization batching scheme. The furnace feeding control module is used to control the discharge mechanism, the batching and conveying mechanism and the feeding mechanism according to the homogenized batching scheme, and to adjust the call amount or feeding speed of each target batch according to the detection results before entering the furnace. The expected drying response trajectory is formed by correcting the standard drying response trajectory with the transportation influence correction amount. The homogenization batching module and the furnace feeding control module perform batching and furnace feeding adjustments based on the batch state contribution vector.

10. The green waste raw material homogenization batching and furnace feeding control system based on transportation data according to claim 9, characterized in that, The transportation data acquisition module is connected to the cleaning and transportation management platform; the inbound status acquisition module is connected to the inbound moisture content detection equipment, material composition detection equipment, and compaction status detection equipment; the pretreatment control module is connected to the silo switching mechanism, loosening equipment, and drying equipment; the drying response correction module is connected to the drying process moisture content detection equipment, energy consumption acquisition equipment, and conveying load detection equipment; the post-drying status acquisition module is connected to the post-drying moisture content detection equipment, weighing equipment, material composition detection equipment, and conveying load detection equipment; the homogenization and batching module is connected to the gasifier control system; and the furnace inlet control module is connected to the discharge mechanism, batching and conveying mechanism, feeding mechanism, and pre-furnace inlet detection equipment.

Images