A peak period kitchen waste balanced feeding method

Abstract

The present application relates to a kind of high peak period kitchen waste balanced feeding method, including whether to enter peak period according to the number of vehicle of unit time into factory, unit time unloading capacity and the residual capacity of temporary storage unit;Kitchen waste of peak period to factory is carried out information collection batch by batch, records the pH value, ozone concentration, solid content and grease content information of each batch of kitchen waste;The corresponding batch of kitchen waste into factory is divided into conventional state kitchen waste, rotten risk kitchen waste and high load risk kitchen waste and the like steps;The present application has the advantages that: by regulating the feeding sequence of various kitchen wastes, single batch feeding amount and feeding interval, the feeding amount in unit time period is maintained in the stable bearing range of system;Through the iterative optimization of peak period determination threshold and balanced feeding control rule of continuously accumulated operation data, it can adapt to the change of kitchen waste into factory law in different time periods, further guarantee the balance of feeding process.

Description

Technical Field

[0001] This invention belongs to the field of food waste pretreatment technology, specifically relating to a method for balanced feeding of food waste during peak periods. Background Technology

[0002] Currently, the front-end feeding stage of food waste pretreatment systems generally adopts a configuration of buffer silos paired with feeding conveyor equipment. The operating status of the feeding equipment is adjusted by detecting parameters such as silo level and material weight to match the feeding volume with the processing capacity of the back-end pretreatment system. Under normal operating conditions with a stable material inflow, this type of technical solution can basically achieve continuous feeding of food waste, ensuring the daily operation of the pretreatment system.

[0003] However, due to the regularity of urban food waste collection and transportation, the daily material intake exhibits significant peak-to-valley fluctuations. This is especially true during periods such as after meals, holidays, large events, and centralized canteen meal service, when collection vehicles arrive at the plant in concentrated numbers, resulting in a large influx of material into the feeding stage within a short period. This causes a sharp increase in the feeding load, exceeding the stable capacity of the pretreatment system. This impactful feeding directly leads to significant fluctuations in the pretreatment system's operating load, easily causing silo overflow, conveyor equipment overload and jamming, and even protective shutdowns of the production line, interrupting continuous processing. It also destabilizes the operating parameters of pretreatment processes such as crushing and sorting, reducing the uniformity and efficiency of material processing, making it difficult to maintain a continuous and balanced stable feeding state during peak waste disposal periods. Summary of the Invention

[0004] This invention provides a method for balanced feeding of food waste during peak periods, which can solve the problem in the prior art that it is difficult to maintain a continuous, balanced and stable feeding state during peak periods.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: a method for balanced feeding of food waste during peak periods, applicable to the food waste pretreatment system of a waste treatment plant during peak periods, wherein the waste treatment plant is equipped with several temporary storage units for temporarily storing different types of waste, and the method includes the following steps: S1. Determine whether the peak period has begun based on the number of vehicles entering the plant per unit time, the amount of material unloaded per unit time, and the remaining capacity of the temporary storage unit. S2. Collect information on each batch of kitchen waste arriving at the plant during peak periods, and record the pH value, ozone concentration, solid content and oil content of each batch of kitchen waste; S3. Based on the pH value, ozone concentration, solid content and oil content information collected for each batch of kitchen waste, the kitchen waste arriving at the plant in the corresponding batch is divided into normal state kitchen waste, kitchen waste at risk of rotting and kitchen waste at high load risk, and each type of kitchen waste is stored in the corresponding temporary storage unit. S4. Based on the real-time processing capacity of the pretreatment system and the remaining capacity of each temporary storage unit, determine the feeding parameters for various types of food waste. The feeding parameters include the feeding sequence, feeding amount, and feeding interval. Feed various types of food waste according to the feeding parameters. Specifically, set the feeding rate of food waste at risk of spoilage to be less than the rated feeding rate of the pretreatment system, and set the high-load-risk food waste and the food waste in normal condition to be fed alternately.

[0006] Preferably, when any one of the following data exceeds the corresponding threshold: the number of vehicles entering the plant per unit time, the amount of material unloaded per unit time, and the remaining capacity of the temporary storage unit, it is determined that the peak period has begun.

[0007] Preferably, in S1, the number of vehicles entering the plant per unit time and the unloading volume per unit time for the most recent 30 days are counted, and the average number of vehicles entering the plant per unit time and the average unloading volume per unit time are calculated. The threshold for determining the number of vehicles entering the plant per unit time is 120% of the average number of vehicles entering the plant per unit time; the threshold for determining the amount of material unloaded per unit time is 120% of the average amount of material unloaded per unit time; and the threshold for determining the remaining capacity of the temporary storage unit is 20% of the total effective capacity of the temporary storage unit.

[0008] Preferably, the food waste at risk of rotting refers to food waste with a pH value not higher than 5.0 or an odor concentration not lower than 20 OU / m³; the food waste at high load risk refers to food waste with a solid content greater than 25% or an oil content greater than 5%; and the food waste in normal condition is food waste with a pH value higher than 5.0, an odor concentration lower than 20 OU / m³, a solid content not greater than 25%, and an oil content not greater than 5%.

[0009] Preferably, the feeding rate of the food waste at risk of spoilage is 20% to 40% of the rated feeding rate of the pretreatment system.

[0010] Preferably, during the feeding process of each batch of food waste, the feeding sequence, feeding amount and feeding interval of each type of food waste are recorded, and the feeding parameters of the next batch of food waste are adjusted in combination with the operating load of the pretreatment system.

[0011] Preferably, adjusting the feeding parameters includes: when the operating load of the pretreatment system is greater than 90% of its upper limit, reducing the amount of food waste fed into the next batch and / or extending the feeding interval of the next batch of food waste; when the operating load of the pretreatment system is less than 60% of its upper limit, increasing the amount of food waste fed into the next batch and / or shortening the feeding interval of the next batch of food waste.

[0012] Compared to existing technologies, this invention comprehensively determines peak periods for food waste collection through multi-dimensional parameters, enabling early identification of concentrated feeding conditions and providing a preliminary basis for subsequent balanced management. By adjusting the feeding sequence, batch size, and interval of various types of food waste, the food waste arriving at the plant is broken down and fed into the pretreatment system in an orderly manner, effectively mitigating short-term load peaks and maintaining the feeding volume per unit time within the system's stable capacity. Simultaneously, by dynamically adjusting feeding parameters based on the pretreatment system's operating load and iteratively optimizing peak period judgment thresholds and balanced feeding control rules through continuously accumulated operating data, this invention can adapt to changes in the food waste arrival patterns at different times, further ensuring the balance of the feeding process. This helps reduce the load fluctuation of the pretreatment system, minimize equipment overload and operational parameter instability, and improve the operational stability of the peak period processing flow. Attached Figure Description

[0013] Figure 1 This is a schematic flowchart of the peak-period balanced feeding method for kitchen waste of the present invention; Figure 2 This is an overall schematic diagram of a device / system for performing the method in one embodiment of the present invention; Figure 3 This is a detailed schematic diagram of the device / system for performing the method in one embodiment of the present invention. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0015] like Figure 1 As shown, this invention provides a method for balanced feeding of food waste during peak periods, applicable to the food waste pretreatment system of a waste treatment plant during peak periods. The waste treatment plant is equipped with several temporary storage units for temporarily storing different types of waste. The method includes the following steps: S1. Determine whether the peak period has begun based on the number of vehicles entering the plant per unit time, the amount of material unloaded per unit time, and the remaining capacity of the temporary storage unit. S2. Collect information on each batch of kitchen waste arriving at the plant during peak periods, and record the pH value, ozone concentration, solid content and oil content of each batch of kitchen waste; S3. Based on the pH value, ozone concentration, solid content and oil content information collected for each batch of kitchen waste, the kitchen waste arriving at the plant in the corresponding batch is divided into normal state kitchen waste, kitchen waste at risk of rotting and kitchen waste at high load risk, and each type of kitchen waste is stored in the corresponding temporary storage unit. S4. Based on the real-time processing capacity of the pretreatment system and the remaining capacity of each temporary storage unit, determine the feeding parameters for various types of food waste. The feeding parameters include the feeding sequence, feeding amount, and feeding interval. Feed various types of food waste according to the feeding parameters. Specifically, set the feeding rate of food waste at risk of spoilage to be less than the rated feeding rate of the pretreatment system, and set the high-load-risk food waste and the food waste in normal condition to be fed alternately.

[0016] Specifically, S1 establishes a unified judgment standard based on the pretreatment system's design processing capacity and daily operational data. Combining real-time data on the number of vehicles entering the plant, unloading volume, and remaining capacity of the temporary storage unit, it identifies peak periods of concentrated food waste arrival and promptly activates a targeted balanced feeding control mode. This avoids the inability of conventional feeding control logic to handle the load impact caused by concentrated feeding. The peak period judgment strategy employs a multi-parameter threshold trigger mechanism: Pre-setting corresponding judgment thresholds for the number of vehicles entering the plant per unit time, unloading volume per unit time, and remaining capacity of the temporary storage unit, based on the pretreatment system's design processing capacity and historical daily operational data; during system operation, real-time data of these three parameters is collected, and the real-time data is compared with the corresponding judgment thresholds one by one. When the real-time data meets the preset trigger conditions, it is determined that the peak period of food waste collection has begun, and the peak period balanced feeding mode is activated. The number of vehicles entering the plant per unit time directly reflects the density of collection vehicles arriving at the plant. This is a leading indicator for predicting the scale of food waste inflow, allowing for early identification of concentrated arrival trends before large-scale unloading, thus providing preparation time for switching control modes. The unloading volume per unit time directly quantifies the actual inflow rate of food waste, intuitively reflecting the real-time load pressure at the inlet, and is a core quantitative indicator for judging peak load levels. The remaining capacity of the temporary storage unit reflects the system's current buffer capacity, demonstrating the existing buffer space's capacity to handle concentrated inflows, avoiding misjudgments caused by relying solely on inflow volume while ignoring buffer capacity. These three indicators cover the inflow trend, real-time flow, and buffer capacity, respectively. Combined judgment ensures both the advance detection and accuracy of peak period identification. It is important to note that the peak period determination strategy must be compatible with the actual stable capacity of the pretreatment system. The determination dimensions must simultaneously cover the inflow rate of food waste at the inlet and the remaining storage space to prevent fluctuations in a single parameter from causing incorrect or delayed mode activation, thus hindering timely balanced control.

[0017] S2 collects and registers the attribute information of each batch of food waste arriving at the plant after the peak-hour mode is activated. This provides basic data support for subsequent food waste classification and feeding rule formulation, while also enabling traceable management of each batch of food waste during peak hours. Specifically, information collection can be completed before vehicle unloading. Through manual recording, vehicle ledgers, weighing, on-site observation, or monitoring data, the arrival time, source area, collection and transportation time, loading volume, presence of obvious decay, and amount of seepage of each batch of food waste are recorded. This ensures that each batch of food waste corresponds one-to-one with the collected information, and that the data is accurate and traceable. It should be noted that batch information collection must be completed before the food waste is unloaded into the temporary storage unit, and the collected information must reflect the state of the food waste itself and the characteristics of the collection and transportation process to ensure that subsequent food waste classification and feeding scheduling have accurate and effective data basis.

[0018] Based on the attribute information collected from each batch of food waste, S3 categorizes the food waste arriving at the plant during peak periods and stores different categories of food waste separately in corresponding temporary storage units. This achieves physical isolation and independent storage of food waste with different characteristics, providing a prerequisite for subsequent differentiated feeding scheduling. Specifically, based on the collected food waste attribute information, the food waste category is determined according to preset classification rules, and then the corresponding batch of food waste is sent to the matching temporary storage unit for independent storage via diversion and conveying equipment, ensuring that different categories of food waste are not mixed. It should be noted that the classification logic of food waste must match the control requirements of subsequent feeding, and each temporary storage unit must have independent discharge control capabilities to ensure that different categories of food waste can be scheduled and fed separately without interference.

[0019] S4 combines the real-time processing capacity of the pretreatment system with the storage status of each temporary storage unit to formulate feeding rules that include feeding parameters for each type of food waste. According to these rules, different types of food waste are transported to the pretreatment system's feeding end in an orderly manner, ensuring that the total amount of food waste entering the system within a unit of time remains within a stable carrying capacity, thus mitigating load peaks caused by concentrated food waste entering the plant. Specifically, based on the stable carrying capacity of the pretreatment system and combined with the amount of food waste in each temporary storage unit, the feeding parameters and delivery rhythm for different types of food waste are determined. By controlling the discharge rate and discharge sequence of each temporary storage unit, the food waste is transported to the pretreatment system's feeding end in an orderly manner. It is important to note that the feeding rules must be set based on the stable operating load range of the pretreatment system, and the feeding rhythm of different types of food waste must be coordinated to avoid simultaneous concentrated feeding of multiple types of food waste, which could lead to load superposition and exceed the system's stable carrying capacity.

[0020] Preferably, when any one of the following data exceeds the corresponding threshold: the number of vehicles entering the plant per unit time, the amount of material unloaded per unit time, and the remaining capacity of the temporary storage unit, it is determined that the peak period has begun.

[0021] Specifically, this embodiment adopts a trigger rule that activates upon exceeding a single parameter limit. This simplifies the judgment logic while ensuring response speed, ensuring that the peak-period mode can be activated promptly when any indicator shows an overload trend, avoiding control lag caused by triggering only when multiple parameters meet the limit simultaneously. The system collects real-time values ​​of three parameters: the number of vehicles entering the plant per unit time, the amount of material unloaded per unit time, and the remaining capacity of the temporary storage unit, and compares them with their respective judgment thresholds. As long as the real-time value of any one of the parameters reaches or exceeds the corresponding judgment threshold, the system immediately determines that the peak collection period has begun and automatically activates the peak-period balanced feeding mode. It should be noted that this trigger logic is a conservative activation rule, prioritizing system operational safety and avoiding missed detections during peak periods; however, it needs to be combined with reasonable threshold settings to prevent instantaneous fluctuations of a single parameter from causing frequent false activations of the mode, interfering with feeding efficiency under normal operating conditions.

[0022] Preferably, in S1, the number of vehicles entering the plant per unit time and the unloading volume per unit time for the most recent 30 days are counted, and the average number of vehicles entering the plant per unit time and the average unloading volume per unit time are calculated; 120% of the average number of vehicles entering the plant per unit time is used as the threshold for determining the number of vehicles entering the plant per unit time; 120% of the average unloading volume per unit time is used as the threshold for determining the unloading volume per unit time; and 20% of the total effective capacity of the temporary storage unit is used as the threshold for determining the remaining capacity of the temporary storage unit.

[0023] Specifically, this embodiment sets a specific quantitative calculation method for the threshold, ensuring that the peak-period judgment threshold is set in accordance with the actual operating patterns of the treatment plant, eliminating subjective biases caused by human intervention, and guaranteeing the rationality and feasibility of the judgment standard. Historical operating data of the food waste pretreatment system for the most recent 30 or 60 calendar days are retrieved, and the number of vehicles entering the plant per unit time and the amount of waste unloaded per unit time are statistically analyzed for the same time period each day. The historical average values ​​of these two indicators are calculated. 120% of the average number of vehicles is set as the judgment threshold for the number of vehicles entering the plant per unit time, and 120% of the average amount of waste unloaded is set as the judgment threshold for the amount of waste unloaded per unit time. 20% of the total effective capacity of the temporary storage unit is used as the remaining capacity judgment threshold; that is, when the remaining usable capacity of the temporary storage unit is less than 20% of the total capacity, the threshold triggering condition is met. The 30-day statistical period needs to cover normal working days and holidays to ensure that the statistical sample can reflect the general patterns of daily collection and transportation; the 60-day statistical period is longer and can more accurately reflect the collection and transportation patterns. The 120% multiplier and 20% capacity ratio can be fine-tuned according to the actual operating conditions of the processing plant, while taking into account the sensitivity of peak-hour identification and the probability of false triggering.

[0024] Preferably, the food waste at risk of rotting refers to food waste with a pH value not higher than 5.0 or an odor concentration not lower than 20 OU / m³; the food waste at high load risk refers to food waste with a solid content greater than 25% or an oil content greater than 5%; and the food waste in normal condition is food waste with a pH value higher than 5.0, an odor concentration lower than 20 OU / m³, a solid content not greater than 25%, and an oil content not greater than 5%.

[0025] Specifically, this embodiment clarifies the specific categories of food waste classification, dividing it into levels according to its risk attributes. This provides a clear classification basis for subsequent differentiated feeding control, allowing different types of food waste to be matched with corresponding feeding control methods. Based on the loading volume, collection time, decomposition status, and leachate volume of food waste, it is classified as "normal state food waste" if it is relatively stable, does not show obvious signs of decomposition, acidification, or excessive leachate, and will not cause additional impact on the system. Food waste with longer collection times, signs of decomposition, obvious odor, high leachate volume, or decreased pH is classified as "decomposition risk food waste." Food waste with large single-batch loading volumes, multiple trucks unloading simultaneously, or concentrated input that would significantly increase the system load, or high solids or grease content, is classified as "high load risk food waste." These three types of food waste are stored in their respective independent temporary storage units. It should be noted that the boundaries between the three types of food waste must be clear and unambiguous to avoid misclassification of food waste; the classification dimensions must correspond one-to-one with the objectives of feed intake control to ensure that the classification results can directly serve the subsequent differentiated feed intake strategy.

[0026] Preferably, the feeding rate of the food waste at risk of spoilage is 20% to 40% of the rated feeding rate of the pretreatment system.

[0027] Specifically, this embodiment provides a specific feeding rate for food waste at risk of spoilage. By feeding at a low rate (20%–40%) with small flow rates, the environmental impact of rotting food waste is controlled, achieving a targeted and balanced management effect. During implementation, during peak feeding periods, food waste at risk of spoilage is continuously fed at a low flow rate with reduced discharge rates to control the amount of rotting food waste input per unit time, mitigating the concentrated release of odor and leachate. If the equipment load increases after feeding, the amount of food waste at risk of spoilage can be further reduced for the next feeding, or the interval can be increased. Alternatively, it can be fed alternately with food waste under normal conditions. It should be noted that the low-flow feeding rate must be matched to the stock of rotting food waste and the subsequent processing rhythm to prevent this type of food waste from remaining in the temporary storage unit for too long and exacerbating spoilage.

[0028] Preferably, during the feeding process of each batch of food waste, the feeding sequence, feeding amount and feeding interval of each type of food waste are recorded, and the feeding parameters of the next batch of food waste are adjusted in combination with the operating load of the pretreatment system.

[0029] Specifically, during the feeding process, the feeding rules for the next batch are dynamically adjusted based on the real-time operating load of the pretreatment system, forming a closed-loop real-time control of the feeding process. Simultaneously, by recording the feeding parameters and corresponding system operating status for each batch, the peak-period judgment strategy and feeding rules are continuously iterated and optimized. This ensures that the control method adapts to the changing patterns of food waste entering the plant at different times, maintaining a balanced feeding effect in the long term. Specifically, the operating load data of the pretreatment system can be collected in real time and compared with the system's stable load range. Based on this, the subsequent feeding volume can be reasonably increased or decreased, and the feeding interval adjusted. At the same time, the operating data for each peak period is summarized periodically, and the peak-period judgment strategy and feeding rules are corrected and optimized to ensure that the control logic adapts to changes in the food waste entering the plant. It is important to note that the feedback collection of system operating load must have sufficient real-time capability to ensure that the adjustment of feeding rules can respond promptly to changes in system status. Iterative optimization must be based on complete peak-period operating cycle data to avoid instability of the control logic due to adjustments based on fragmented or incomplete data.

[0030] Preferably, the feeding parameters for the next batch of kitchen waste are adjusted based on the liquid level in the hopper of each temporary storage unit during the current batch feeding process.

[0031] Specifically, this embodiment enriches the feedback dimensions for adjusting the feeding rules. In addition to the system operating load, it supplements three intuitive operating condition indicators: silo level, leachate generation, and odor intensity, improving the comprehensiveness of dynamic adjustments and responding promptly to secondary impacts caused by changes in the characteristics of food waste. During the feeding operation, in addition to real-time collection of the pretreatment system's operating load, the silo level at the feeding end, the rate of food waste leachate generation, and the odor concentration in the operating area are monitored simultaneously. When any of these indicators shows an abnormal increase, the feeding rules for subsequent batches are adjusted accordingly. For example, when the real-time odor intensity exceeds the preset odor threshold, the low-flow feeding rate of food waste at risk of decay is reduced by 20% to 40%; when the leachate generation per unit time exceeds the leachate warning threshold, the single feeding amount of all types of food waste is reduced by 30% to 50%; when the silo level reaches 80% of the total effective capacity threshold, the feeding interval for each batch is extended by 30% to 60%. It should be noted that the monitoring points for each feedback parameter should be set up reasonably to ensure that the data can truly reflect the actual state of the feeding process; corresponding adjustment trigger thresholds should be set for each supplementary parameter to avoid frequent changes in the feeding rules due to normal small fluctuations in the parameters.

[0032] Preferably, adjusting the feeding parameters includes: when the operating load of the pretreatment system is greater than 90% of its upper limit, reducing the amount of food waste fed into the next batch and / or extending the feeding interval of the next batch of food waste; when the operating load of the pretreatment system is less than 60% of its upper limit, increasing the amount of food waste fed into the next batch and / or shortening the feeding interval of the next batch of food waste.

[0033] Specifically, this embodiment clarifies the specific adjustment method of the feeding rules. By adjusting the combination of feeding amount and feeding interval, it flexibly adapts to changes in the real-time status of the system, achieving precise suppression of system load. When the pretreatment system's operating load, silo level, leaching volume, or odor intensity increases and approaches the upper limit threshold, if the pretreatment system's operating load exceeds 90% of its upper limit, the feeding amount of subsequent batches should be reduced, or the feeding interval between adjacent batches should be extended. Both can also be adjusted simultaneously to reduce the total feeding load per unit time. When the above indicators fall back to a lower level, if the pretreatment system's operating load is less than 60% of its upper limit, the feeding amount should be increased or the feeding interval shortened to improve processing efficiency and fully utilize the system's processing capacity. It should be noted that the adjustment of feeding amount and feeding interval should adopt a step-by-step, gradual adjustment method. The single adjustment range should not be too large to avoid large reverse fluctuations in system load. The adjustment process should remain continuous and stable to ensure the operational stability of the pretreatment process.

[0034] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for balanced feeding of food waste during peak periods, applicable to the feeding of food waste in the pretreatment system of a waste treatment plant, characterized in that, The waste treatment plant is equipped with several temporary storage units for temporarily storing different types of waste, and the method includes the following steps: S1. Determine whether the peak period has begun based on the number of vehicles entering the plant per unit time, the amount of material unloaded per unit time, and the remaining capacity of the temporary storage unit. S2. Collect information on each batch of kitchen waste arriving at the plant during peak periods, and record the pH value, ozone concentration, solid content and oil content of each batch of kitchen waste; S3. Based on the pH value, ozone concentration, solid content and oil content information collected for each batch of kitchen waste, the kitchen waste arriving at the plant in the corresponding batch is divided into normal state kitchen waste, kitchen waste at risk of rotting and kitchen waste at high load risk, and each type of kitchen waste is stored in the corresponding temporary storage unit. S4. Based on the real-time processing capacity of the pretreatment system and the remaining capacity of each temporary storage unit, determine the feeding parameters for various types of food waste. The feeding parameters include the feeding sequence, feeding amount, and feeding interval. Feed various types of food waste according to the feeding parameters. Specifically, set the feeding rate of food waste at risk of spoilage to be less than the rated feeding rate of the pretreatment system, and set the high-load-risk food waste and the food waste in normal condition to be fed alternately.

2. The method for balanced feeding of kitchen waste during peak periods according to claim 1, characterized in that: When any one of the following data exceeds the corresponding threshold: the number of vehicles entering the plant per unit time, the amount of material unloaded per unit time, or the remaining capacity of the temporary storage unit, it is determined that the peak period has begun.

3. The method for balanced feeding of kitchen waste during peak periods according to claim 2, characterized in that: In S1, the number of vehicles entering the plant per unit time and the amount of material unloaded per unit time are counted for the most recent 30 days, and the average number of vehicles entering the plant per unit time and the average amount of material unloaded per unit time are calculated. The threshold for determining the number of vehicles entering the factory per unit time is 120% of the average number of vehicles entering the factory per unit time. The threshold for determining the unloading volume per unit time is 120% of the average unloading volume per unit time; the threshold for determining the remaining capacity of the temporary storage unit is 20% of the total effective capacity of the temporary storage unit.

4. The method for balanced feeding of kitchen waste during peak periods according to claim 1, characterized in that: The term "potentially rotting food waste" refers to food waste with a pH value not higher than 5.0 or an odor concentration not lower than 20 OU / m³; the term "high-load-risk food waste" refers to food waste with a solid content greater than 25% or an oil content greater than 5%; and the term "normal-state food waste" refers to food waste with a pH value higher than 5.0, an odor concentration lower than 20 OU / m³, a solid content not greater than 25%, and an oil content not greater than 5%.

5. The method for balanced feeding of kitchen waste during peak periods according to claim 5, characterized in that: The feed rate of the food waste at risk of spoilage is 20% to 40% of the rated feed rate of the pretreatment system.

6. The method for balanced feeding of kitchen waste during peak periods according to claim 1, characterized in that: During the feeding process of each batch of food waste, the feeding sequence, feeding amount and feeding interval of each type of food waste are recorded. Based on the operating load of the pretreatment system, the feeding parameters of the next batch of food waste are adjusted.

7. The method for balanced feeding of kitchen waste during peak periods according to claim 7, characterized in that: The adjustment of the feeding parameters includes: when the operating load of the pretreatment system is greater than 90% of its upper limit, reducing the amount of food waste fed into the next batch and / or extending the feeding interval of the next batch of food waste; when the operating load of the pretreatment system is less than 60% of its upper limit, increasing the amount of food waste fed into the next batch and / or shortening the feeding interval of the next batch of food waste.

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