A method, equipment, and medium for goods receiving in a warehouse park based on a conveyor belt.

Abstract

This application discloses a method, equipment, and medium for goods warehousing based on a conveyor belt in a warehousing park. The method includes: determining the type of goods to be warehoused based on the warehouse entry application form; determining whether the goods to be warehoused are a first type of special transport goods based on the type of goods; collecting real-time images of the goods to be warehoused from multiple monitoring points on the conveyor belt, and identifying the real-time images to determine whether the goods to be warehoused are a second type of special transport goods; monitoring whether there are any abnormal transmissions of the goods to be warehoused from multiple monitoring points when the goods belong to the first type of special transport goods and / or the second type of special goods, to determine the corresponding warehouse entry strategy; and transferring the goods to be warehoused from the transfer area to the warehouse entry location according to the warehouse entry strategy when the goods to be warehoused arrive at the handover area of ​​their corresponding warehouse entry location, thereby realizing the warehouse entry of the goods to be warehoused.

Description

Technical Field

[0001] This application relates to the field of goods conveying technology, specifically to a method, equipment, and medium for goods receiving in a warehousing park based on a conveyor belt. Background Technology

[0002] In conveyor-based automated warehousing systems, accurate receiving of goods is crucial for ensuring logistics efficiency. Currently, warehouses typically employ a uniform receiving strategy. However, whether automated or manual, this strategy struggles to identify potential special attributes or abnormal conditions of goods during transport, making it difficult to achieve an optimal balance between receiving efficiency and operational safety. This can easily lead to product damage or reduced receiving efficiency. Summary of the Invention

[0003] To address the aforementioned issues, this application proposes a conveyor belt-based method for goods receiving in a warehouse park, comprising: Based on the inbound application form for the goods to be inbound, determine the type of goods corresponding to the goods to be inbound; Based on the type of goods, determine whether the goods to be received are first special transport goods; the first special transport goods include any one or more of the following: fragile goods, easily damaged goods, valuable goods, and hazardous chemicals; And by using multiple monitoring points set on the conveyor belt, real-time images of the goods to be put into storage are collected, and the real-time images are identified to determine whether the goods to be put into storage are second special transport goods; the second special transport goods include any one or more of the following: oversized goods, irregularly shaped goods, goods with damaged packaging, goods without standard packaging, and goods with loose packaging. When the goods to be received belong to the first special transport goods and / or the second special goods, the multiple monitoring points are used to monitor whether there is abnormal transmission of the goods to be received, so as to determine the warehousing strategy corresponding to the goods to be received; the abnormal transmission includes any one or more of the following: goods offset, goods jamming, and goods tipping. When the goods to be received arrive at the handover area of ​​their corresponding receiving warehouse, the goods to be received are transferred from the handover area to the receiving warehouse in accordance with the receiving strategy, thereby realizing the receiving of the goods to be received.

[0004] In one implementation of this application, monitoring the multiple monitoring points to determine whether there are any abnormal transmissions of the goods to be received, in order to determine the receiving strategy corresponding to the goods to be received, specifically includes: Based on the real-time images of goods collected from the multiple monitoring points, the real-time status of the goods to be put into storage during the conveying process is identified; wherein, the real-time status includes at least one or more of the following: the lateral offset distance of the goods to be put into storage relative to the center of the conveyor belt, the dwell time of the goods image, and the angle between the goods to be put into storage and the horizontal reference plane. The real-time status is compared with the preset normal transmission status. If the comparison result exceeds the preset status tolerance threshold, it is determined that the goods to be put into storage have abnormal transmission.

[0005] In one implementation of this application, determining the warehousing strategy corresponding to the goods to be warehoused specifically includes: Determine whether any of the aforementioned abnormal transmissions exist for the goods to be received into the warehouse; If not, the warehousing strategy corresponding to the goods to be warehoused is determined to be the direct warehousing strategy; If so, the transmission risk level of the goods to be received is predicted, and the corresponding warehousing strategy is determined based on the transmission risk level.

[0006] In one implementation of this application, predicting the transmission risk level of the goods to be received into the warehouse specifically includes: Based on the abnormal transmission type corresponding to the goods to be received and the degree of abnormality of the abnormal transmission type, the risk factor value corresponding to the preset risk factor is determined; the degree of abnormality is determined based on the state difference between the real-time state and the normal transmission state of the goods to be received. Based on the risk weights corresponding to each risk factor, the risk factor values ​​are weighted and summed to obtain the initial risk value corresponding to the goods to be put into storage. The initial risk value is adjusted based on the cargo sensitivity of the goods to be received, so as to determine the transmission risk level of the goods to be received; wherein, the cargo sensitivity is used to indicate the degree of vulnerability of the goods to be received during abnormal transmission, and is determined by the special transport cargo type to which the goods to be received belong.

[0007] In one implementation of this application, determining the warehousing strategy corresponding to the goods to be warehoused based on the transmission risk level specifically includes: If the transmission risk level does not exceed the preset transmission risk level, the warehousing strategy corresponding to the goods to be warehoused is determined to be a buffered handover warehousing strategy; otherwise, the warehousing strategy corresponding to the goods to be warehoused is determined to be a manual intervention warehousing strategy, and an early warning is issued to the warehouse manager to achieve safe warehousing of the goods to be warehoused.

[0008] In one implementation of this application, before transferring the goods to be received from the handover area to the receiving warehouse according to the receiving strategy, the method further includes: Based on the product type of the goods to be received and the status of each warehouse location, determine the available warehouse locations for the goods to be received. Based on the direct warehousing strategy, the expected outbound cost corresponding to each optional warehousing location is determined according to the historical storage and retrieval frequency of the goods to be warehoused, and an warehousing location is selected from the optional warehousing locations based on the expected outbound cost. Based on the buffered delivery and warehousing strategy, an warehousing location is selected from the available warehousing locations according to the transmission risk level and product characteristic information of the goods to be warehoused. Based on the aforementioned manual intervention warehousing strategy, warehousing locations are selected from the available warehousing locations.

[0009] In one implementation of this application, a warehouse location is selected from the available warehouse locations based on the transmission risk level and product characteristic information of the goods to be received. Specifically, this includes: Based on the current task queue length and buffer configuration information corresponding to the candidate buffer associated with the optional inbound warehouse, the real-time handover capability of the candidate buffer is determined. If the risk level of the goods to be received is Level 1, a candidate buffer that matches the real-time handover capability with the characteristic information of the goods is selected as the buffer for the goods to be received. If the risk level of the goods to be received is Level 2, the candidate buffer zone closest to the location of the goods to be received is selected as the buffer zone for the goods to be received; wherein, the risk level of Level 1 is lower than that of Level 2. Select an inbound warehouse location from the available warehouse locations associated with the buffer.

[0010] In one implementation of this application, transferring the goods to be received from the handover area to the receiving warehouse location according to the warehousing strategy specifically includes: When the warehousing strategy is a cached handover warehousing strategy, the arrival posture of the goods to be warehoused is collected by the attitude sensor located in the handover area. The arrival posture is compared with the expected posture generated based on the transmission risk level of the goods to be put into storage to obtain the posture difference. The control command corresponding to the handover mechanism is generated according to the posture difference, so as to control the handover mechanism to safely transfer the goods to be put into storage from the handover area to the storage location through the control command.

[0011] This application embodiment provides a conveyor belt-based goods receiving device for a warehouse park, the device comprising: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which, when executed, enable the at least one processor to perform a conveyor belt-based goods receiving method in a warehouse park as described in any of the preceding claims.

[0012] This application provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows: A method for receiving goods in a warehouse park based on a conveyor belt, as described in any of the preceding items.

[0013] The conveyor belt-based goods receiving method in a warehouse park proposed in this application can bring the following benefits: By combining inbound application forms with real-time images of goods, the system comprehensively perceives incoming goods from both static attribute and dynamic morphology perspectives. This accurately identifies whether a item falls under the category of first- or second-level special transport goods, overcoming the limitations of a single information source and ensuring timely marking of all special goods. Furthermore, by using multiple monitoring points to detect anomalies in the real-time status of goods during conveyor belt transport, potential risks can be identified promptly. Based on the type and severity of the anomaly, as well as the inherent sensitivity of the goods, differentiated inbound strategies are automatically matched to goods of varying risk levels. This changes the traditional uniform inbound model in warehousing, maximizing automated processing efficiency while ensuring the safety of incoming goods. It effectively balances the dual requirements of safety and efficiency, significantly reducing the damage rate of special and abnormal goods during the inbound process and improving the intelligence and precision management level of the warehousing system. Attached Figure Description

[0014] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A schematic flowchart illustrating a method for receiving goods in a warehouse park based on a conveyor belt, provided as an embodiment of this application; Figure 2 This is a schematic diagram of a conveyor belt-based goods receiving device in a warehouse park, provided as an embodiment of this application. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0016] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0017] like Figure 1 As shown in the embodiment of this application, a method for receiving goods in a warehouse park based on a conveyor belt includes: S101: Based on the inbound application form for the goods to be inbound, determine the type of goods corresponding to the goods to be inbound.

[0018] Goods awaiting warehousing refer to goods that have arrived at the warehousing operation area within the storage park. To facilitate differentiated warehousing strategies for different types of goods, each item awaiting warehousing carries a corresponding warehousing application form. The warehousing application form is a document submitted by the goods owner or relevant operators, containing basic information about the goods to be warehoused, including at least the type, name, specifications, quantity, origin, and destination. The warehousing application form clearly defines the basic attributes of the goods, such as their type. After identifying the category of the goods, it is necessary to match appropriate warehousing strategies and storage locations for different categories of goods.

[0019] In practice, the warehouse management platform receives and reads inbound requisition forms, extracting information related to the product type from them using preset field mapping rules. If the product type is not explicitly indicated in the inbound requisition form, fuzzy matching can be performed based on the product name, specifications, or supplier information to infer the corresponding product type from a local or cloud-based product type knowledge base. For example, if the product name in the inbound requisition form is a high borosilicate glass cup and the specifications include the word "fragile," it can be automatically classified as a fragile product.

[0020] S102: Determine whether the goods to be received are first-class special transport goods based on the type of goods; first-class special transport goods include any one or more of the following: fragile goods, easily damaged goods, valuable goods, and hazardous chemicals.

[0021] After determining the type of goods to be received, it is then determined whether the goods belong to the first category of special transport goods based on that type. First category of special transport goods refers to goods that, due to their physical, chemical, or value attributes, are highly sensitive to vibration, impact, tilting, compression, or environmental changes during conveyor belt transport, and are highly susceptible to damage in the event of abnormal transport. In this application embodiment, first category of special transport goods includes at least one or more of the following types: fragile goods, easily damaged goods, valuable goods, and hazardous chemicals.

[0022] Among them, fragile goods refer to goods with high brittleness and weak impact resistance, which are easily broken or shattered when subjected to collisions or drops, such as glass products, ceramic products, and precision optical components; easily damaged goods refer to goods that, although not necessarily broken, are prone to surface scratches, structural deformation, or functional failure under pressure, friction, or vibration, such as packaged electronic products, precision mechanical parts, and surface-coated parts; valuable goods refer to goods with high unit value or total value, which will cause significant economic losses if damaged, such as jewelry, high-end digital products, and luxury goods; hazardous chemicals refer to chemical products with dangerous characteristics such as flammability, explosiveness, corrosiveness, toxicity, or radioactivity. Abnormal transmission of these chemicals may not only cause the goods themselves to fail, but may also trigger a chain of accidents such as equipment damage, personal injury, or environmental pollution.

[0023] When identifying whether goods awaiting warehousing fall under the category of first-class special transport goods, the goods type can be compared item by item with a pre-defined special goods type mapping table. This mapping table records the attribution relationship between various goods types and the first-class special transport goods type. For example, when the goods type field is identified as a glass insulated container, consulting the mapping table will determine that it belongs to the fragile goods category. For some goods types, they may simultaneously meet multiple criteria for first-class special transport goods. For instance, a shockproof case for precision instruments may be classified as both fragile and valuable goods due to the presence of expensive sensors inside. In such cases, a priority stacking strategy will be adopted, simultaneously associating multiple first-class special transport goods attribute tags to comprehensively consider multiple sensitive factors during subsequent risk assessment and strategy formulation.

[0024] It should be noted that some goods awaiting warehousing may have ambiguous descriptions or classification issues in their warehousing application forms. For these types of goods, their historical warehousing records can be retrieved to analyze whether they have been marked as special transport goods or whether any abnormal events have occurred during past transportation. A comprehensive confidence assessment can be conducted by combining this information with factors such as supplier credit rating and product production batch. When the confidence level exceeds a preset threshold, the goods awaiting warehousing will be classified as first-level special transport goods for management, thus avoiding the risk of omissions due to incomplete information.

[0025] S103: By setting up multiple monitoring points on the conveyor belt, collect real-time images of the goods to be put into storage, identify the real-time images of the goods to be put into storage, and determine whether the goods to be put into storage are second special transport goods; second special transport goods include any one or more of the following: oversized goods, irregularly shaped goods, goods with damaged packaging, goods without standard packaging, and goods with loose packaging.

[0026] In the actual process of goods receiving, there may be discrepancies between the information on the receiving application form and the actual condition of the goods. For example, some goods may experience packaging damage or changes in shape during the transit process before being transported to the warehousing park, or their actual size and packaging may exceed the standard range due to special customization. This information may not have been updated in the receiving application form. Therefore, relying solely on the goods type information in the receiving application form is insufficient to comprehensively identify all goods requiring special handling. Based on this, this application embodiment sets up multiple monitoring points along the key transmission path of the conveyor belt, such as at the entrance, turning points, acceleration sections, and near the handover area. Each monitoring point is equipped with a high-definition industrial camera and supplementary lighting equipment, forming a visual monitoring network covering the entire transmission path of the conveyor belt. Through the multiple monitoring points, real-time images of the goods to be received during the transmission process are collected at preset time intervals or triggered (when the sensor detects the passage of goods). The collected real-time images are then analyzed online to determine whether the goods to be received belong to the second type of special transport goods. The second type of special transport goods refers to goods whose physical characteristics, such as their geometric dimensions, shape regularity, packaging integrity, or packaging tightness, deviate from conventional standards, making them highly susceptible to jamming, deviation, tipping, congestion, or unexpected contact with other equipment during standardized conveyor belt transport. In the embodiments of this application, the second type of special transport goods includes at least one or more of the following types: oversized goods, irregularly shaped goods, goods with damaged packaging, goods without standard packaging, and goods with loose packaging.

[0027] When goods awaiting warehousing pass through the shooting area of ​​any monitoring point, the acquisition equipment at the monitoring point captures multiple frames of real-time images containing the complete outline of the goods. These real-time images are then transmitted in real-time to a locally deployed image recognition engine, which analyzes the image content frame by frame based on a pre-trained object detection model and semantic segmentation model. During image analysis, the region of interest containing the goods is first located using an object detection algorithm, and geometric features such as the minimum bounding rectangle, aspect ratio, area percentage, and edge smoothness of this region are extracted. Based on these features, the measured dimensions of the goods are compared with preset standard size thresholds. If any dimension exceeds the threshold, the goods are determined to be oversized. Simultaneously, by calculating the number of concave points in the goods' outline, the percentage of concave depth, and the area difference between the minimum bounding rectangle and the actual outline, if these indicators exceed set thresholds, the goods are determined to be irregularly shaped. For packaging condition identification, a multi-scale feature fusion strategy is employed. Texture analysis and edge detection are performed on the packaging area in real-time product images. This is achieved by identifying abnormal textures such as tears, holes, and deformation on the packaging surface, or features like detached tape or loose buckles at the seal. Combined with the relative displacement changes of the packaging area in adjacent frames, a comprehensive judgment is made regarding whether the product packaging is damaged or loose. For products without standard packaging, the matching degree between the product outline and various pre-stored standard packaging templates is compared. If the matching degree is below a preset threshold and no standardized packaging markings are detected, the product is classified as having no standard packaging. Furthermore, to improve identification accuracy, cross-validation is performed using image data from multiple monitoring points. For example, if images from different monitoring points all show that the product packaging is damaged, the confidence level of the judgment is increased, avoiding misjudgments due to single-point perspective bias.

[0028] It should be noted that the identification process for the second type of special transported goods is conducted independently of the identification process for the first type of special transported goods. The determination of the first type of special transported goods relies entirely on the basic attributes of the goods in the warehousing application form. This identification process is completed before the goods enter the transmission stage, and its results are used for early warning and preparation of targeted protection strategies. The second type of special transported goods, however, relies on real-time visual information collected on the conveyor belt. Its identification process spans the entire transmission stage of the goods on the conveyor belt, dynamically capturing the special attributes of the goods that arise during transmission due to external factors or changes in their own state. Together, these two systems construct a comprehensive special transported goods identification system, ensuring that all potential transmission risks can be detected in a timely manner.

[0029] S104: When the goods to be received belong to the first special transport goods and / or the second special goods, monitor the goods to be received at multiple monitoring points to determine whether there is abnormal transmission, so as to determine the corresponding warehousing strategy for the goods to be received; abnormal transmission includes any one or more of the following: goods offset, goods jamming, goods tipping.

[0030] If the goods to be received are identified as belonging to the first type of special transport goods and / or the second type of special goods, it indicates that these goods possess special attributes requiring close monitoring. In this case, multiple monitoring points deployed along the conveyor belt are needed to continuously track the complete transport path of the goods from entry to exit into the boundary area, in order to determine in real time whether any abnormal transport phenomena occur during the transport process. Abnormal transport refers to the unexpected movement state of goods during conveyor belt operation due to their own physical characteristics, external disturbances, or equipment misalignment, including at least one or more of the following types: goods deviation, goods jamming, and goods tipping. Based on the type of abnormal transport generated by the goods to be received, and combined with their specific attributes, a comprehensive warehousing strategy can be determined for the goods to be received.

[0031] In one embodiment, when identifying whether there is abnormal transmission of goods to be received, it is necessary to analyze and identify the real-time status of the goods by acquiring real-time images of the goods. The real-time status includes at least one or more of the following: the lateral offset distance of the goods to be received relative to the center of the conveyor belt, the image dwell time of the goods, and the angle between the goods to be received and the horizontal reference plane. The lateral offset distance refers to the Euclidean distance between the projection of the center point or centroid of the goods' outline perpendicular to the direction of the conveyor belt's movement in the horizontal plane and the preset centerline of the conveyor belt. The absolute value of this distance is calculated by comparing the coordinates of the goods' center with the centerline. The image dwell time of the goods is obtained by analyzing the passage time of the goods between consecutive monitoring points. The timestamp of the goods first appearing in the image of a certain monitoring point and the timestamp of its departure from the field of view of that point are recorded. The difference between the two is the dwell time of the goods within the coverage area of ​​that point. If this dwell time significantly exceeds the theoretical time required for the goods to pass through the area at a normal conveyor belt speed, the dwell time is determined to be abnormal. The angle between the goods and the horizontal reference plane is used to characterize the degree of tilt of the goods. The angle between the long side of the goods and the conveyor belt plane is calculated by detecting the smallest bounding rectangle of the goods' outline. The angle ranges from 0° to 180°. The angle of normally upright goods is usually stable at around 90°.

[0032] After acquiring the aforementioned real-time status parameters, they are compared item by item with the pre-configured status thresholds for normal transmission. Normal transmission status is a baseline value derived from historical normal operation data, with differentiated calibrations for different product types and conveyor belt sections. For example, for a straight, stable section, the normal tolerance range for lateral offset distance may be set to ±5 cm; for a curved section, due to centrifugal force, the tolerance range can be appropriately widened to ±8 cm. For the angle of the goods, the fluctuation range under normal conditions typically does not exceed ±10°. The normal value for dwell time is calculated based on the conveyor belt linear speed and the spacing between monitoring points; for example, if the theoretical passage time is 2 seconds, the upper tolerance limit can be set to 3 seconds. The comparison process uses an item-by-item judgment method. If the measured value of a certain real-time status parameter exceeds its corresponding status tolerance threshold upper limit, the parameter is considered abnormal. When the comparison result of any real-time status parameter exceeds the preset status tolerance threshold, it is determined that the goods to be received have abnormal transmission.

[0033] In one embodiment, after determining whether there is any abnormal transmission of the goods to be received through the above steps, a differentiated warehousing strategy decision-making process for the goods to be received is triggered based on the determination result. In this way, the goods to be received are diverted to response paths of different risk levels according to the detection of abnormal transmission, thereby achieving a precise balance between ensuring the safety of goods and maintaining warehousing efficiency.

[0034] Specifically, the results of the aforementioned abnormal transmission judgments are summarized and analyzed to determine whether any abnormal transmission occurs in the goods to be received. When the judgment result is that there is no abnormal transmission, the receiving strategy corresponding to the goods to be received is determined to be the direct receiving strategy. The direct receiving strategy means that after the goods arrive at the handover area, they are directly transferred to the pre-assigned receiving warehouse location by the automated handover mechanism according to the normal process, without any additional buffering or manual intervention. This strategy is suitable for goods that have special attributes but do not experience abnormal disturbances during the actual transmission process, such as a glassware marked as fragile but kept upright, centered, and moving at a constant speed on the conveyor belt. In this case, the basic operating efficiency of the conveyor system is maintained, and unnecessary obstruction to the normal flow of goods is avoided due to excessive protection.

[0035] When the judgment result indicates that there is at least one abnormal transmission, it is necessary to combine the abnormal transmission type, the degree of abnormality, and the special attributes of the goods themselves to quantitatively assess the probability and severity of the current abnormality evolving into goods damage or safety accidents. That is, to predict the transmission risk level of the goods to be put into storage, and then determine the corresponding storage strategy for the goods to be put into storage based on the transmission risk level of the goods to be put into storage.

[0036] In one embodiment, when predicting the risk level of goods to be received, the risk factor value corresponding to a preset risk factor is first determined based on the abnormal transmission type of the goods and the severity of that type of abnormality. The abnormal transmission type refers to the specific abnormal category identified through monitoring points, including at least one or more of goods offset, goods jamming, and goods tipping. Each type of abnormal transmission corresponds to an independent risk factor, used to quantify the potential threat that type of abnormal transmission poses to the subsequent safety of the goods' receipt. The degree of abnormality is characterized by the state difference obtained by comparing real-time state parameters with normal transmission state parameters. For example, for goods offset, the state difference is the difference between the measured lateral offset distance and the upper limit of the normal offset tolerance; for goods tipping, the state difference is the deviation between the measured included angle and the boundary of the normal tilt angle range; for goods jamming, the state difference is the excess time between the measured stall time and the upper limit of the normal passage time. Based on a pre-defined segmented mapping relationship, the aforementioned state differences are converted into corresponding risk factor values. These values ​​are typically normalized to between 0 and 1, with larger values ​​indicating higher severity of the anomaly. For example, when the offset distance exceeds the tolerance limit by less than 2 cm, the offset risk factor value may be 0.3; if it exceeds 5 cm, it may be 0.8.

[0037] After obtaining the risk factor values ​​corresponding to each anomaly type, the risk factor values ​​are weighted and summed using pre-set risk weights to calculate the initial risk value for the goods to be received. The risk weights reflect the relative importance of different anomaly types in the overall risk composition, and their values ​​are pre-calibrated based on historical incident data, expert experience, or simulation analysis. Through weighted summation, multi-dimensional anomaly information is integrated into a comprehensive risk quantification indicator, avoiding the drawbacks of isolated amplification or neglect of single-dimensional anomalies.

[0038] However, the initial risk value only reflects the physical severity of the abnormal transmission itself and does not consider the goods' ability to resist damage during the abnormal process. Therefore, this application further introduces a cargo sensitivity parameter to correct the initial risk value and ultimately determine the transmission risk level of the goods to be received. Cargo sensitivity characterizes the susceptibility of goods to be received to damage when experiencing the same degree of abnormal transmission; its value is determined by the type of special transport goods to which the goods belong. In the aforementioned steps, static attribute identification has been used to determine whether the goods belong to the first type of special transport goods, and dynamic visual identification has been used to determine whether the goods belong to the second type of special transport goods. Based on these determinations, one or more sensitivity labels are assigned to each goods, and a comprehensive cargo sensitivity coefficient is generated according to a preset sensitivity quantification rule. For example, the sensitivity coefficient for ordinary goods is set to 1.0, for fragile goods to 1.5, for valuable goods to 2.0, and for hazardous chemicals to 3.0. If a goods possess multiple sensitivities, the final coefficient is determined by superposition or taking the maximum value. The correction process typically involves superimposing the initial risk value and the sensitivity bonus value. The corrected risk value is then mapped to a specific transmission risk level based on a preset grading threshold, such as the first transmission risk level, the second transmission risk level, the third transmission risk level, etc.

[0039] In one embodiment, after calculating the transmission risk level of the goods to be received, the transmission risk level is compared with a preset transmission risk level. If the transmission risk level of the goods to be received does not exceed the preset transmission risk level threshold, i.e., the risk is within an acceptable range, then the receiving strategy corresponding to the goods to be received is determined to be a buffered handover receiving strategy. The buffered handover receiving strategy means that after the goods arrive at the handover area, they are not directly transferred to the receiving warehouse by the automated handover mechanism. Instead, they are first introduced into a preset buffer zone, where they complete posture adjustment, queuing, or temporary storage. When the exit conditions of the buffer zone are met, they are then handed over to the target warehouse in a controlled manner. For example, a slightly misaligned ordinary cardboard box, whose risk level is determined to be level two and does not exceed the preset threshold, will be guided into the buffer zone. The system will use the guiding device or slow conveyor section within the buffer zone to automatically correct its position before handover. This avoids the waste of resources caused by direct manual intervention due to minor anomalies and provides time and space for the natural resolution of abnormal states through the buffer mechanism.

[0040] If the risk level of goods to be received exceeds the preset risk level threshold, meaning the risk is beyond acceptable limits, the corresponding receiving strategy for those goods is determined to be a manual intervention receiving strategy. An early warning message is immediately sent to the warehouse manager to ensure the safe receipt of the goods. At this time, the automated handover process for the goods to be received must be suspended, and the goods must be guided to a dedicated manual handling station where the warehouse manager conducts on-site inspection, posture correction, packaging reinforcement, or special handling. The goods are only allowed to be received after safety is confirmed. For example, a container that has clearly tipped over and is marked as a hazardous chemical has a risk level far exceeding the preset threshold. If the automated equipment is still used for forced handover in this situation, it could very likely lead to hazardous chemical leakage, equipment contamination, or personal injury. Simultaneously with triggering the manual intervention strategy, an early warning message containing the goods' identity, anomaly type, risk level, current location, and suggested handling measures is sent to the warehouse manager's mobile terminal, workstation, or wearable device through preset warning channels, ensuring that the manager is informed of the situation immediately and can respond on-site.

[0041] S105: When the goods to be received arrive at the handover area of ​​their corresponding receiving warehouse, the goods to be received are transferred from the handover area to the receiving warehouse in accordance with the receiving strategy, thereby realizing the receiving of the goods to be received.

[0042] Once the goods awaiting warehousing have undergone the aforementioned abnormal transmission monitoring and risk level assessment, and have been matched to the corresponding warehousing strategy based on their transmission risk level, the corresponding warehousing transfer operation will be executed according to the warehousing strategy when the goods arrive at the handover area. This ensures a complete handover of the goods from the conveyor belt system to the storage unit. The handover area refers to the transitional space between the end of the conveyor belt and the entrance of the storage unit, typically consisting of a handover mechanism, attitude sensors, a buffer platform, and a storage unit entrance guide device. The core function of this area is to achieve a smooth transition of goods from the continuously moving conveyor belt system to the static or intermittently moving storage system.

[0043] In one embodiment, before the goods to be received arrive at the handover area along the conveyor belt, a pre-allocation process needs to be initiated in advance to ensure that the goods can seamlessly transition to the handover execution stage once the transfer is completed. The core of the pre-allocation process is to call the corresponding warehouse selection logic according to the warehousing strategy type determined in the previous steps, thereby achieving the optimal matching of warehouse resources with goods attributes, risk status, and expected operating costs.

[0044] In practice, the process begins by initially selecting available storage locations based on the product type and storage location status of the goods to be received. Storage location status is retrieved from the warehouse management system's real-time database and includes at least the location's occupancy status, physical coordinates, storage capacity, environmental parameters, and whether it is currently under maintenance or locked. The storage requirements of the goods are then clearly defined by their type. These requirements are matched against the available storage capacity, eliminating locations that do not meet basic storage conditions. For example, refrigerated fresh produce is excluded from ambient temperature storage locations, or storage locations that are occupied or under maintenance are removed. This process generates a list of available storage locations for the goods to be received.

[0045] After obtaining available warehouse locations, differentiated location selection logic is executed based on the inbound strategy type of the goods to be inbound. When the inbound strategy is a direct inbound strategy, it indicates that the entire transmission process of the goods to be inbound is stable and the risk is controllable. At this time, the core objective of location selection shifts to optimizing the overall operational efficiency of the warehousing system, especially reducing the expected costs of future outbound processes. To this end, the expected outbound cost of each available warehouse location needs to be calculated based on the historical access frequency of the goods to be inbound, and warehouse locations are selected based on the principle of cost minimization. Historical access frequency refers to the frequency with which the goods or similar goods have been moved out of warehouse locations in the past statistical period, which can be determined from the historical operation logs of the warehouse management system.

[0046] After obtaining the historical access frequencies, the expected outbound costs for each available inbound warehouse are further determined. The expected outbound cost represents the expected resource expenditure required to retrieve the goods from the current candidate warehouse and transport them to the outbound port at a future time. When calculating the expected outbound cost, the physical location attributes of the available inbound warehouse itself and the future call probability represented by the historical access frequencies of the goods need to be considered.

[0047] Specifically, the basic handling cost of each selectable inbound storage location relative to the outbound exit is calculated based on the warehouse layout model. This basic handling cost mainly depends on the spatial distance between the storage location and the outbound exit, the path complexity, and the type of handling equipment. In a typical warehouse layout, the actual navigation path length is calculated based on the storage location coordinates and the outbound exit coordinates. This actual navigation path length is then converted into time cost and energy cost by combining the average operating speed of the handling equipment, energy consumption per unit time, and equipment depreciation rate. The time cost is calculated as the ratio between the actual navigation path length and the average operating speed of the handling equipment, representing the expected time required to perform a handling operation from the storage location to the outbound exit. The energy cost is calculated by further considering the energy consumption per unit time, i.e., the product of the time cost and the energy consumption per unit time. The equipment depreciation cost is also calculated based on the time cost, which equals the product of the time cost and the preset depreciation rate per unit time. After calculating the time cost, energy cost, and depreciation cost separately, the basic handling cost for the current goods at that storage location is generated according to a preset cost fusion strategy. Cost integration strategies can employ a weighted summation approach, with the weights of each component reflecting the emphasis placed on different cost elements by the warehouse management strategy. For example, in parks prioritizing operational efficiency, the time weight can be set to a higher value; in parks emphasizing green energy conservation, the energy consumption weight can be appropriately increased; and in scenarios with intensive equipment upgrades, depreciation weight can be taken into consideration.

[0048] After obtaining the basic handling cost, historical access frequency is used as a weighting factor to adjust the basic cost, thus obtaining the expected outbound cost for each optional warehouse location for the current goods to be received. The core logic is that the higher the historical access frequency of goods, the greater the probability of them being called up in the future. Therefore, the cumulative resource consumption caused by storing them in warehouses with higher basic handling costs is more significant. Conversely, even if low-turnover goods are stored in remote warehouses, their impact on overall operating costs is relatively limited due to their low usage frequency. Based on this logic, the expected outbound cost of each optional warehouse location can be expressed as the product of a frequency coefficient and 1, plus the basic handling cost. The frequency coefficient is obtained by normalizing the historical access frequency; the higher the access frequency, the larger the frequency coefficient, typically ranging from 0 to 1. For example, the frequency coefficient for low-turnover goods with an average daily access frequency of 1 is set to 0.1.

[0049] After calculating the expected outbound cost for each available warehouse location, the final decision is made using the principle of cost minimization, that is, selecting the warehouse location with the lowest expected outbound cost from the set of available warehouse locations as the target warehouse location.

[0050] When the warehousing strategy is a buffered handover warehousing strategy, and it is determined that the goods are abnormal but the risk is controllable, the core objective of warehouse location selection shifts to ensuring the safety and reliability of the handover process. Therefore, a matching warehouse location must be selected from the available warehousing locations based on the transmission risk level and characteristics of the goods to be received. The transmission risk level has already been calculated using multi-factor weighting and sensitivity correction in the preceding steps, reflecting the risk of damage to the goods in their current state. The goods characteristic information includes at least the goods' size, weight, packaging condition, and whether they belong to special categories such as fragile or easily damaged.

[0051] Specifically, based on the candidate buffer associated with each selectable inbound storage location, the current task queue length and buffer configuration information of the buffer are obtained, and the real-time handover capacity of the candidate buffer is determined accordingly. It should be noted that in the warehouse layout of this embodiment, not every inbound storage location directly connects to the end of the conveyor belt. Some storage locations, especially those used to receive abnormal or sensitive goods, have dedicated buffer zones at their entrances. The buffer zone is a transitional space located between the conveyor belt handover area and the storage location entrance, and its functions include temporary storage, attitude correction, slow conveying, and queue management. Each buffer zone can be associated with one or more inbound storage locations. Goods must first enter the buffer zone to complete necessary buffering processing before being transferred to the associated storage location. The current task queue length refers to the number of goods that the buffer zone has currently accepted but has not yet completed processing and been transferred to a storage location; this value reflects the congestion level of the buffer zone in real time. Buffer configuration information is a set of static parameters describing the physical capabilities and functional characteristics of the buffer zone. These parameters include at least the buffer's maximum capacity, the range of acceptable item sizes, whether it is equipped with an attitude correction device, whether it has slow-descent or shock absorption functions, and the applicable item types. Based on these two parameters, a real-time handover capability assessment result for the candidate buffer zone is generated.

[0052] After evaluating the real-time handover capabilities of each candidate buffer, a differentiated buffer selection logic is executed based on the transmission risk level of the goods to be received. According to the risk level classification in this application embodiment, the first level is less risky than the second level; that is, the first level corresponds to lower risk, and the second level corresponds to higher risk. When the transmission risk level of the goods to be received is the first level, it is determined that although the goods have anomalies, the risk level is low. The core objective of buffering is to eliminate the abnormal state through appropriate intervention, while maintaining a balanced utilization of buffer resources as much as possible. In this case, a candidate buffer whose real-time handover capability matches the goods' characteristic information is selected as the buffer for the goods to be received. Here, matching means that the physical capabilities and functional characteristics of the buffer precisely meet the buffering requirements of the goods. For example, for an item marked as oversized and slightly offset, whose characteristics include "oversized" and "requires a wide entrance", the system will prioritize buffer zones with wide entrances, spacious internal passages, and appropriate current task queue lengths to ensure that the item can enter smoothly and complete the necessary attitude adjustment within the buffer zone. If multiple buffer zones that meet the size matching requirements exist, the system will further select the buffer zone equipped with centering guide wheels, as it can more effectively correct the offset state.

[0053] When the risk level of goods awaiting warehousing is Level 2, it indicates a high level of risk. In this case, the core objective of buffering shifts from resource matching to rapid response, i.e., minimizing the transit time from the point of anomaly to the buffer zone to prevent the risk from accumulating or worsening during transmission. In this scenario, the candidate buffer zone closest to the current location of the goods awaiting warehousing will be directly selected. "Closest distance" here refers to the shortest actual navigation path length from the current monitoring point or handover area entrance of the goods to the entrance of each candidate buffer zone within the conveyor belt layout. After selecting the buffer zone, the final target warehousing location is selected from the available warehousing locations associated with that buffer zone. Since the same buffer zone may correspond to multiple locations, priority should be given to selecting the currently available location within the buffer zone that is closest to the buffer zone exit. This shortens the secondary handling path for goods transferring from the buffer zone to the warehousing location. Alternatively, a secondary screening can be performed based on the matching degree between the goods' dimensions and the warehousing location's dimensions to ensure smooth storage of the goods.

[0054] When the warehousing strategy is manual intervention, the risk of the goods to be received exceeds the safe handling capacity of automated equipment. In this case, the core objective of warehouse location selection shifts to facilitating manual processing. Therefore, a warehouse location should be directly selected from the available options that is easily accessible to humans, has ample operating space, and does not disrupt the main workflow. Typically, locations close to the manual processing area, with wide aisles and adequate lighting are preferred. In this scenario, the focus of warehouse location selection is ensuring that administrators can quickly and safely reach and complete the processing. After selecting a warehouse location, its information is simultaneously pushed to the administrator's alert terminal, and the warehouse resource is locked to prevent other automated tasks from being mistakenly assigned while it is occupied.

[0055] In one embodiment, when a buffered handover handover strategy is adopted for goods to be put into storage, when the goods physically arrive at the handover area, the attitude sensor located in the handover area needs to capture the actual attitude of the goods in real time and compare it with the expected attitude generated based on the risk level of the goods' transmission. The action parameters of the handover mechanism are dynamically adjusted according to the comparison results, so as to ensure that even if the goods have undergone a certain degree of attitude deviation during the transmission process, the safe and stable transfer into storage can still be achieved.

[0056] Specifically, attitude sensors located in the handover area collect the arrival posture of goods upon arrival. At least one attitude sensor is positioned in the handover area; this sensor can be one or a combination of a 3D vision camera, a laser contour scanner, or a depth camera. Its installation position and angle ensure unobstructed capture of the overall outline and spatial orientation of the goods the instant they enter the handover area. When the goods reach the sensor trigger area, the sensor acquires point cloud data or a depth image containing the complete 3D shape of the goods, thereby extracting the current spatial attitude parameters of the goods. The arrival posture includes at least the following core indicators characterizing the spatial state of the goods: the fit between the bottom surface of the goods and the conveyor belt plane, the tilt angle of the goods' central axis relative to the horizontal reference plane, the deflection angle between the goods' front orientation and the centerline of the warehouse entrance, and the projected coordinates of the goods' overall center of gravity on the horizontal plane.

[0057] After obtaining the current position, the expected position generated based on the risk level of the goods' transport is retrieved. The expected position is not a fixed ideal value, but a dynamically generated target position value based on the risk information accumulated during the preceding steps. Specifically, during the goods transport process, the type and severity of abnormal transport have been obtained through anomaly monitoring, and the transport risk level and cargo sensitivity have been calculated through risk prediction. Based on this information, an expected handover position model for the goods is constructed. The generation logic of this model is as follows: For goods that have slightly tipped over during transport, the expected position requires them to be righted to a near-upright state before handover, for example, the expected tilt angle is set between 85° and 95°; for goods that have shifted laterally, the expected position requires their centerline to be basically aligned with the centerline of the warehouse entrance, for example, the expected lateral deviation is set within ±2 cm; for goods with loose packaging, the expected position requires the handover mechanism to move smoothly and without impact. In this case, the expected position itself may not have strict geometric constraints, but rather manifests as constraints on the upper limit of the handover speed or the acceleration curve.

[0058] After obtaining the current and expected postures, the two are compared to calculate the posture difference. Based on this difference, refined control commands are generated for the handover mechanism. The handover mechanism is the execution unit located in the handover area. Depending on the warehouse layout, it may include a telescopic pusher, a multi-degree-of-freedom robotic arm, a tilting platform, or centering guide wheels. The larger the posture difference, the greater the range of motion, the slower the speed, or the deeper the intervention of the handover mechanism, ensuring that deviations are gradually eliminated during the dynamic process. Specifically, if the posture difference is mainly manifested as lateral offset, a lateral compensation displacement command is generated for the pusher plate, causing it to move to a position aligned with the center of the goods before contacting them, thus avoiding secondary offset caused by the edge of the pusher plate hitting the goods; if the posture difference is mainly manifested as tilt angle deviation, a lifting angle command is generated for the overturning platform, causing the platform to tilt to be parallel to the bottom surface of the goods before carrying them, thus maintaining full contact surface support when the goods slide into the platform; if the posture difference is manifested as multiple deviations superimposed, a multi-axis linkage command is generated, causing the robotic arm to simultaneously adjust the gripping angle and force when gripping the goods, ensuring that the goods are corrected to a near-expected posture at the moment of gripping.

[0059] After receiving the control command, the handover mechanism executes the actions according to the motion trajectory, speed curve, and compensation amount set in the command, safely transferring the goods to be stored from the handover area to the buffer zone or directly into the warehouse. During the transfer process, if deviations are found to be not eliminated as expected or new deviation trends appear, subsequent commands can be corrected in real time until the goods have completely entered the buffer zone or warehouse entrance.

[0060] The above are embodiments of the methods proposed in this application. Based on the same idea, some embodiments of this application also provide devices and non-volatile computer storage media corresponding to the above methods.

[0061] Figure 2 This is a schematic diagram of a conveyor belt-based goods receiving device in a warehouse park, provided as an embodiment of this application. Figure 2 As shown, it includes: At least one processor; and, At least one processor-communication-connected memory; wherein, The memory stores instructions that can be executed by at least one processor to enable the at least one processor to perform a conveyor belt-based goods receiving method in a warehouse park as described in any of the preceding claims.

[0062] This application provides a non-volatile computer storage medium storing computer-executable instructions, which are configured as follows: A method for receiving goods in a warehouse park based on a conveyor belt, as described in any of the preceding items.

[0063] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device and medium embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the description of the method embodiments.

[0064] The devices and media provided in this application are one-to-one with the methods. Therefore, the devices and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0065] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0070] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0071] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0072] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0073] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for receiving goods in a warehouse park based on a conveyor belt, characterized in that, The method includes: Based on the inbound application form for the goods to be inbound, determine the type of goods corresponding to the goods to be inbound; Based on the type of goods, determine whether the goods to be received are first special transport goods; the first special transport goods include any one or more of the following: fragile goods, easily damaged goods, valuable goods, and hazardous chemicals; And by using multiple monitoring points set on the conveyor belt, real-time images of the goods to be put into storage are collected, and the real-time images are identified to determine whether the goods to be put into storage are second special transport goods; the second special transport goods include any one or more of the following: oversized goods, irregularly shaped goods, goods with damaged packaging, goods without standard packaging, and goods with loose packaging. When the goods to be received belong to the first special transport goods and / or the second special goods, the multiple monitoring points are used to monitor whether there is abnormal transmission of the goods to be received, so as to determine the warehousing strategy corresponding to the goods to be received; the abnormal transmission includes any one or more of the following: goods offset, goods jamming, and goods tipping. When the goods to be received arrive at the handover area of ​​their corresponding receiving warehouse, the goods to be received are transferred from the handover area to the receiving warehouse in accordance with the receiving strategy, thereby realizing the receiving of the goods to be received.

2. The method for goods warehousing in a warehouse park based on a conveyor belt according to claim 1, characterized in that, By monitoring the multiple monitoring points to check for abnormal transmission of the goods to be received, the corresponding warehousing strategy for the goods to be received can be determined, specifically including: Based on the real-time images of goods collected from the multiple monitoring points, the real-time status of the goods to be put into storage during the conveying process is identified; wherein, the real-time status includes at least one or more of the following: the lateral offset distance of the goods to be put into storage relative to the center of the conveyor belt, the dwell time of the goods image, and the angle between the goods to be put into storage and the horizontal reference plane. The real-time status is compared with the preset normal transmission status. If the comparison result exceeds the preset status tolerance threshold, it is determined that the goods to be put into storage have abnormal transmission.

3. A method for receiving goods in a warehousing park based on a conveyor belt, as described in claim 2, is characterized in that... Determining the warehousing strategy corresponding to the goods to be received includes: Determine whether any of the aforementioned abnormal transmissions exist for the goods to be received into the warehouse; If not, the warehousing strategy corresponding to the goods to be warehoused is determined to be the direct warehousing strategy; If so, the transmission risk level of the goods to be received is predicted, and the corresponding warehousing strategy is determined based on the transmission risk level.

4. A method for receiving goods in a warehouse park based on a conveyor belt, as described in claim 3, is characterized in that... The risk level of the goods to be received into the warehouse is predicted, specifically including: Based on the abnormal transmission type corresponding to the goods to be received and the degree of abnormality of the abnormal transmission type, the risk factor value corresponding to the preset risk factor is determined; the degree of abnormality is determined based on the state difference between the real-time state and the normal transmission state of the goods to be received. Based on the risk weights corresponding to each risk factor, the risk factor values ​​are weighted and summed to obtain the initial risk value corresponding to the goods to be put into storage. The initial risk value is adjusted based on the cargo sensitivity of the goods to be received, so as to determine the transmission risk level of the goods to be received; wherein, the cargo sensitivity is used to indicate the degree of vulnerability of the goods to be received during abnormal transmission, and is determined by the special transport cargo type to which the goods to be received belong.

5. A method for receiving goods in a warehouse park based on a conveyor belt, as described in claim 3, characterized in that, Based on the transmission risk level, the corresponding warehousing strategy for the goods to be received is determined, specifically including: If the transmission risk level does not exceed the preset transmission risk level, the warehousing strategy corresponding to the goods to be warehoused is determined to be a buffered handover warehousing strategy; otherwise, the warehousing strategy corresponding to the goods to be warehoused is determined to be a manual intervention warehousing strategy, and an early warning is issued to the warehouse manager to achieve safe warehousing of the goods to be warehoused.

6. A method for receiving goods in a warehouse park based on a conveyor belt, as described in claim 5, is characterized in that... Before transferring the goods to be received from the handover area to the receiving warehouse location according to the warehousing strategy, the method further includes: Based on the product type of the goods to be received and the status of each warehouse location, determine the available warehouse locations for the goods to be received. Based on the direct warehousing strategy, the expected outbound cost corresponding to each optional warehousing location is determined according to the historical storage and retrieval frequency of the goods to be warehoused, and an warehousing location is selected from the optional warehousing locations based on the expected outbound cost. Based on the buffered delivery and warehousing strategy, an warehousing location is selected from the available warehousing locations according to the transmission risk level and product characteristic information of the goods to be warehoused. Based on the aforementioned manual intervention warehousing strategy, warehousing locations are selected from the available warehousing locations.

7. A method for receiving goods in a warehousing park based on a conveyor belt, as described in claim 6, is characterized in that... Based on the transmission risk level and product characteristic information of the goods to be received, a warehouse location is selected from the available warehouse locations, specifically including: Based on the current task queue length and buffer configuration information corresponding to the candidate buffer associated with the optional inbound warehouse, the real-time handover capability of the candidate buffer is determined. If the risk level of the goods to be received is Level 1, a candidate buffer that matches the real-time handover capability with the characteristic information of the goods is selected as the buffer for the goods to be received. If the risk level of the goods to be received is Level 2, the candidate buffer zone closest to the location of the goods to be received is selected as the buffer zone for the goods to be received; wherein, the risk level of Level 1 is lower than that of Level 2. Select an inbound warehouse location from the available warehouse locations associated with the buffer.

8. A method for receiving goods in a warehousing park based on a conveyor belt, as described in claim 1, characterized in that, According to the warehousing strategy, the goods to be warehoused are transferred from the handover area to the warehousing location, specifically including: When the warehousing strategy is a cached handover warehousing strategy, the arrival posture of the goods to be warehoused is collected by the attitude sensor located in the handover area. The arrival posture is compared with the expected posture generated based on the transmission risk level of the goods to be put into storage to obtain the posture difference. The control command corresponding to the handover mechanism is generated according to the posture difference, so as to control the handover mechanism to safely transfer the goods to be put into storage from the handover area to the storage location through the control command.

9. A conveyor belt-based goods receiving equipment for a warehouse park, characterized in that, The device includes: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform a conveyor belt-based goods receiving method in a warehouse park as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are set as follows: A method for receiving goods in a warehouse park based on a conveyor belt, as described in any one of claims 1-8.

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