An unmanned pulley track intelligent cargo distribution method and system

Abstract

The present invention proposes an unmanned pulley track intelligent cargo distribution method and system, which relates to the technical field of intelligent cargo distribution, obtains cargo packing priority, generates a cargo distribution list and a cargo packing path, performs cargo packing, and obtains cargo packing information; obtains cargo transportation trajectory, determines the shortest transportation trajectory, calculates cargo transportation coefficient, determines the optimal pulley track, performs cargo transportation, and obtains cargo transportation information; obtains tracking and positioning information of cargo transportation information, calculates cargo transportation rate, marks cargo transportation anomalies, and then restarts and warns the slide rail until the warning is lifted; obtains cargo distribution progress information, obtains cargo distribution progress status according to the cargo distribution progress information, and performs classification regulation until the cargo distribution progress information is 100%. The present invention realizes efficient, accurate, and safe control of the entire process of cargo packaging, distribution, and transportation by introducing intelligent management means, significantly improves distribution efficiency and service quality, and reduces operating costs.

Description

Technical Field

[0001] The present invention proposes an unmanned pulley track intelligent cargo distribution method and system, which relate to the technical field of intelligent cargo distribution, and specifically to the technical field of unmanned pulley track intelligent cargo distribution. Background Art

[0002] In the modern unmanned shopping industry, with the vigorous development of science and technology and the continuous improvement of consumers' requirements for self-shopping efficiency and service quality, the intelligent distribution and transportation of goods has become a major challenge faced by the unmanned shopping field. The traditional process of goods packaging, distribution and transportation often relies on manual operation, which has problems such as low efficiency, high error rate and high cost. In addition, there is a lack of intelligent means for tracking and positioning of goods during transportation, monitoring of transportation speed and handling of exceptions, which makes the transportation process opaque and difficult to discover and solve potential problems in a timely manner. Summary of the invention

[0003] The present invention provides an unmanned pulley track intelligent cargo distribution method and system to solve the problems that the traditional cargo packaging, distribution and transportation process often rely on manual operation, which has low efficiency, high error rate, high cost and other problems. In addition, there is a lack of intelligent means for tracking and positioning of goods during transportation, monitoring of transportation speed and abnormal handling, resulting in the transportation process being opaque and difficult to discover in time.

[0004] The present invention proposes an unmanned pulley track intelligent cargo distribution method and system, the method comprising:

[0005] S1. According to cargo demand information, obtain cargo packing priority, generate a cargo distribution list according to the cargo packing priority, generate a cargo packing path according to the cargo distribution list information, pack the cargo according to the cargo packing path, and obtain cargo packing information;

[0006] S2. Obtain a cargo transportation trajectory, determine the shortest transportation trajectory according to the cargo transportation trajectory, calculate a cargo transportation coefficient, determine an optimal pulley track according to the cargo transportation coefficient, transport the cargo, and obtain cargo transportation information;

[0007] S3, obtaining tracking and positioning information of cargo transportation information, calculating cargo transportation speed according to the tracking and positioning information, marking cargo transportation abnormality according to the cargo transportation speed, and then restarting the slide rail and issuing an early warning until the early warning is lifted;

[0008] S4. Obtain the distribution progress information, obtain the distribution progress status according to the distribution progress information, and perform classification and regulation according to the distribution progress status until the distribution progress information is 100%.

[0009] Furthermore, the S1 includes:

[0010] Acquire the user's cargo demand information through the wireless communication network, classify the cargo demand information according to the preset cargo types, and obtain category demand information;

[0011] Obtaining a preset weight of a category of goods, setting a priority of the category of goods to be packed according to the preset weight of the category of goods, and obtaining a priority ranking of the goods;

[0012] Sort the types of goods in the goods demand information according to the priority order to obtain the demand goods order;

[0013] Generate a distribution list according to the required goods sorting and the goods demand information;

[0014] Determine the distribution starting point information and the distribution end point information according to the distribution list, and generate a cargo packaging path according to the distribution starting point information and the distribution end point information;

[0015] According to the cargo packing path, the robot is controlled to pack the cargo list in sequence to obtain the packaged cargo and cargo packing information.

[0016] Further, the S2 includes:

[0017] Generate a cargo transportation track according to the cargo packaging information, and determine the transportation starting point and transportation end point according to the cargo transportation track;

[0018] Determine the shortest transportation trajectory according to the transportation starting point and the transportation end point;

[0019] Retrieving preset pulley track information, and calculating the cargo transportation coefficient according to the preset pulley track information, the shortest transportation track information and the cargo packaging information;

[0020] Acquire a preset track threshold interval, match the cargo transport coefficient with the preset track threshold interval, and obtain a matching track, where the matching track is the optimal pulley track;

[0021] The packaged goods are transported via the optimal pulley track to obtain the goods transportation information.

[0022] Further, the S3 includes:

[0023] Locate and track the goods according to the goods transportation information and obtain tracking and positioning information;

[0024] Calculate the cargo transportation rate according to the tracking and positioning information, compare the cargo transportation rate with a preset rate threshold, and obtain a rate comparison result;

[0025] Determine the transport status of the cargo according to the rate comparison result to obtain a transport status determination result;

[0026] Marking the corresponding goods for transportation abnormality according to the transportation status determination result;

[0027] According to the abnormal transport mark, the corresponding cargo transport slide rail is restarted and warned until the warning is lifted and the transport cargo information is obtained.

[0028] Further, the S4 includes:

[0029] Acquire cargo distribution progress information based on the transport cargo information and the cargo distribution list;

[0030] When the distribution progress information is 100%, the goods are exported through the goods export window;

[0031] When the distribution progress information is less than 100%, the incomplete distribution progress information is obtained, and the goods are reallocated according to the incomplete distribution progress information until the distribution progress information is 100%.

[0032] Furthermore, the system comprises:

[0033] A cargo packing module is used to obtain cargo packing priorities according to cargo demand information, generate a cargo distribution list according to the cargo packing priorities, generate a cargo packing path according to the cargo distribution list information, pack the cargo according to the cargo packing path, and obtain cargo packing information;

[0034] A cargo transportation module, used to obtain a cargo transportation trajectory, determine the shortest transportation trajectory according to the cargo transportation trajectory, calculate a cargo transportation coefficient, determine an optimal pulley track according to the cargo transportation coefficient, perform cargo transportation, and obtain cargo transportation information;

[0035] The transport adjustment module is used to obtain the tracking and positioning information of the cargo transportation information, calculate the cargo transportation rate according to the tracking and positioning information, mark the cargo transportation abnormality according to the cargo transportation rate, and then restart the slide rail and issue an early warning until the early warning is lifted;

[0036] The distribution verification module is used to obtain the distribution progress information, obtain the distribution progress status according to the distribution progress information, and perform classification and regulation according to the distribution progress status until the distribution progress information is 100%.

[0037] Furthermore, the cargo packaging module includes:

[0038] Acquire the user's cargo demand information through the wireless communication network, classify the cargo demand information according to the preset cargo types, and obtain category demand information;

[0039] Obtaining a preset weight of a category of goods, setting a priority of the category of goods to be packed according to the preset weight of the category of goods, and obtaining a priority ranking of the goods;

[0040] Sort the types of goods in the goods demand information according to the priority order to obtain the demand goods order;

[0041] Generate a distribution list according to the required goods sorting and the goods demand information;

[0042] Determine the distribution starting point information and the distribution end point information according to the distribution list, and generate a cargo packaging path according to the distribution starting point information and the distribution end point information;

[0043] According to the cargo packing path, the robot is controlled to pack the cargo list in sequence to obtain the packaged cargo and cargo packing information.

[0044] Furthermore, the cargo transportation module comprises:

[0045] Generate a cargo transportation track according to the cargo packaging information, and determine the transportation starting point and transportation end point according to the cargo transportation track;

[0046] Determine the shortest transportation trajectory according to the transportation starting point and the transportation end point;

[0047] Retrieving preset pulley track information, and calculating the cargo transportation coefficient according to the preset pulley track information, the shortest transportation track information and the cargo packaging information;

[0048] Acquire a preset track threshold interval, match the cargo transport coefficient with the preset track threshold interval, and obtain a matching track, where the matching track is the optimal pulley track;

[0049] The packaged goods are transported via the optimal pulley track to obtain the goods transportation information.

[0050] Furthermore, the transport regulation module includes:

[0051] Locate and track the goods according to the goods transportation information and obtain tracking and positioning information;

[0052] Calculate the cargo transportation rate according to the tracking and positioning information, compare the cargo transportation rate with a preset rate threshold, and obtain a rate comparison result;

[0053] Determine the transport status of the cargo according to the rate comparison result to obtain a transport status determination result;

[0054] Marking the corresponding goods for transportation abnormality according to the transportation status determination result;

[0055] According to the abnormal transport mark, the corresponding cargo transport slide rail is restarted and warned until the warning is lifted and the transport cargo information is obtained.

[0056] Furthermore, the cargo distribution verification module includes:

[0057] Acquire cargo distribution progress information based on the transport cargo information and the cargo distribution list;

[0058] When the distribution progress information is 100%, the goods are exported through the goods export window;

[0059] When the distribution progress information is less than 100%, the incomplete distribution progress information is obtained, and the goods are reallocated according to the incomplete distribution progress information until the distribution progress information is 100%.

[0060] Beneficial effects of the present invention: Through the automated cargo packaging and transportation process, manual intervention is significantly reduced, and the speed and efficiency of cargo distribution are improved. Intelligent decision-making based on cargo packaging priority and transportation coefficient ensures that resources (such as manpower, equipment, and time) are optimally configured. Real-time monitoring of cargo transportation status, timely detection and handling of abnormal situations, and effective prevention of cargo loss or delays. The system records and displays comprehensive cargo distribution progress and transportation information, provides decision-making support for management, and improves management transparency. By reducing manual errors and improving efficiency, the overall operating cost is reduced and the competitiveness of the enterprise is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of an unmanned pulley track intelligent cargo distribution method;

[0062] Figure 2 Schematic diagram of cargo packaging. DETAILED DESCRIPTION

[0063] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0064] In one embodiment of the present invention, an unmanned pulley track intelligent cargo distribution method and system are provided, and the method comprises:

[0065] S1. According to cargo demand information, obtain cargo packing priority, generate a cargo distribution list according to the cargo packing priority, generate a cargo packing path according to the cargo distribution list information, pack the cargo according to the cargo packing path, and obtain cargo packing information;

[0066] S2. Obtain a cargo transportation trajectory, determine the shortest transportation trajectory according to the cargo transportation trajectory, calculate a cargo transportation coefficient, determine an optimal pulley track according to the cargo transportation coefficient, transport the cargo, and obtain cargo transportation information;

[0067] S3, obtaining tracking and positioning information of cargo transportation information, calculating cargo transportation speed according to the tracking and positioning information, marking cargo transportation abnormality according to the cargo transportation speed, and then restarting the slide rail and issuing an early warning until the early warning is lifted;

[0068] S4. Obtain the distribution progress information, obtain the distribution progress status according to the distribution progress information, and perform classification and regulation according to the distribution progress status until the distribution progress information is 100%. Figure 1 shown.

[0069] The working principle of the above technical solution is as follows: the system first analyzes and determines the packing priority of each cargo according to the cargo demand information. Based on these priorities, the system automatically generates a distribution list, which lists in detail the cargo to be packaged and its order. The system plans the optimal cargo packaging path according to the distribution list, and guides the unmanned equipment or robot to pack efficiently along this path. After the packaging is completed, the system records and stores the cargo packaging information to prepare for the subsequent process. The system obtains the initial and terminal information of the cargo transportation, and calculates the shortest transportation trajectory through the algorithm. The cargo transportation coefficient is calculated based on the actual situation of the cargo transportation to determine the most suitable pulley track. The cargo is placed on the selected pulley track for automatic transportation, and the system records the cargo transportation information in real time. Through GPS or other tracking and positioning technologies, the system continuously monitors the real-time location of the cargo transportation. Based on the tracking and positioning information, the actual rate of cargo transportation is calculated and compared with the expected rate. If the transportation rate is found to be abnormal (such as too slow, stagnant, etc.), the system immediately marks the abnormality and triggers the corresponding restart or early warning mechanism. If the problem is solved in time, the early warning is lifted; otherwise, the system will take further measures, such as changing the transportation path or notifying maintenance personnel. The system obtains and updates the distribution progress information in real time, including the number of packaged goods, the number of transported goods, etc. Based on the distribution progress information, the system evaluates the current distribution progress status and classifies and regulates accordingly. For the links with lagging progress, the system may adjust the packaging order, optimize the transportation route, or increase manpower / equipment resources to ensure that the overall distribution progress reaches 100%.

[0070] The technical effects of the above technical solutions are: through the automated cargo packaging and transportation process, manual intervention is significantly reduced, and the speed and efficiency of cargo distribution are improved. Intelligent decision-making based on cargo packaging priority and transportation coefficient ensures that resources (such as manpower, equipment, and time) are optimally configured. Real-time monitoring of cargo transportation status, timely detection and handling of abnormal situations, and effective prevention of cargo loss or delays. The system records and displays comprehensive cargo distribution progress and transportation information, provides decision-making support for management, and improves management transparency. By reducing manual errors and improving efficiency, the overall operating cost is reduced and the competitiveness of the enterprise is enhanced.

[0071] In one embodiment of the present invention, the S1 includes:

[0072] Acquire the user's cargo demand information through the wireless communication network, classify the cargo demand information according to the preset cargo types, and obtain category demand information;

[0073] Get the preset weight of the goods in the category, set the packing priority of the goods in the category according to the preset weight of the goods in the category, and obtain the goods priority ranking; the weight is set so that fragile goods are less than non-fragile goods, for example, the weight of eggs is less than the weight of paper towels, and the paper towels are packed first, and then the eggs.

[0074] Sort the types of goods in the goods demand information according to the priority order to obtain the demand goods order;

[0075] Generate a distribution list according to the required goods sorting and the goods demand information;

[0076] Determine the starting point information and the end point information of the cargo distribution according to the cargo distribution list, and generate the cargo packaging path according to the starting point information of the cargo distribution and the end point information of the cargo distribution, such as Figure 2 shown.

[0077] According to the cargo packing path, the robot is controlled to pack the cargo list in sequence to obtain the packaged cargo and cargo packing information.

[0078] The working principle of the above technical solution is as follows: the system receives cargo demand information from users or order systems through a wireless communication network. The received cargo demand information is classified according to preset cargo categories, such as food, daily necessities, electronic products, etc., to obtain category demand information. The system determines the packing priority of each category of cargo according to the preset category cargo weights. The weight setting is based on the characteristics of the cargo, such as fragility, shelf life, etc. For example, the weight of fragile goods (such as eggs) is lower than that of non-fragile goods (such as paper towels). According to the weight setting, the system generates a cargo priority ranking to ensure that the cargo with higher weight (i.e., less prone to damage or more urgently needed) is processed first during the packing process. The system sorts the cargo types in the cargo demand information according to the priority ranking to form a demand cargo ranking. Combining the cargo demand information and the demand cargo ranking, the system generates a detailed distribution list, listing the types, quantities and priorities of the cargo to be packaged. The system determines the distribution starting point (such as the storage location of the cargo in the warehouse) and the distribution end point (such as the packing table or shipping area) according to the distribution list. Based on the distribution starting point and end point information, the system uses a path planning algorithm to generate the optimal cargo packaging path to reduce the transportation distance and time. According to the generated cargo packing path, the system controls the robot or automated packing equipment to pack the cargo in the cargo list in sequence. During the packing process, the system records the information of the packed cargo in real time, including the packing time, packing personnel (if manually assisted), packing status, etc., to form cargo packing information.

[0079] The technical effects of the above technical solutions are as follows: through automated packaging processes and path planning, packaging efficiency is significantly improved, and manual intervention and waiting time are reduced. Packing is sorted based on cargo characteristics and demand priorities to ensure efficient use of resources (such as manipulators and warehouse space). By giving priority to high-risk cargo such as fragile goods, the damage rate of cargo during packaging and transportation is effectively reduced. Fast and accurate distribution and packaging services can improve customer satisfaction and enhance corporate competitiveness. Real-time recorded cargo packaging information provides strong data support for subsequent logistics tracking, inventory management and customer service. The system can flexibly adjust packaging strategies and priority settings according to different cargo types and needs to adapt to different business scenarios and demand changes.

[0080] In one embodiment of the present invention, S2 includes:

[0081] Generate a cargo transportation track according to the cargo packaging information, and determine the transportation starting point and transportation end point according to the cargo transportation track;

[0082] The shortest transportation trajectory is determined according to the transportation starting point and the transportation end point; the shortest transportation trajectory is the shortest diameter between the transportation starting point and the transportation end point.

[0083] Retrieving preset pulley track information, and calculating the cargo transportation coefficient according to the preset pulley track information, the shortest transportation track information and the cargo packaging information;

[0084] The calculation formula of the cargo transportation coefficient is:

[0085]

[0086] Among them, HS is the cargo transportation coefficient, HZ is the cargo weight, GZ is the load-bearing capacity of the preset pulley track, Q is the average weight value of the cargo, GV is the historical failure rate of the preset pulley track, and LS is the historical usage times of the preset pulley track;

[0087] When the failure rate or the number of times used is 0, set it to 1;

[0088] Acquire a preset track threshold interval, match the cargo transport coefficient with the preset track threshold interval, and obtain a matching track, where the matching track is the optimal pulley track;

[0089] The packaged goods are transported via the optimal pulley track to obtain the goods transportation information.

[0090] The working principle of the above technical solution is as follows: Based on the previously generated cargo packaging information, the system further plans the initial trajectory of cargo transportation. This trajectory roughly describes the path of the cargo from the warehouse or packaging point to the final destination (such as the customer's delivery address or another processing center). The specific transportation starting point and end point are extracted from the cargo transportation trajectory. These points are usually the warehouse exit, loading area or specific logistics nodes. Using a geographic information system (GIS) or a path optimization algorithm, the system calculates the shortest diameter (or more precisely, the shortest path) from the transportation starting point to the end point. This path may be the shortest in terms of straight-line distance, or it may be the optimal path after considering factors such as actual road conditions, traffic rules, and road grades. The system retrieves the preset pulley track information, which includes the track's load-bearing capacity, historical failure rate, and historical usage times. According to the cargo transportation coefficient formula, the cargo weight (HZ), the average cargo weight value (Q, which may be based on the cargo type or a specific calculation), the preset pulley track load-bearing capacity (GZ), the historical failure rate (GV, adjusted to a non-zero value to avoid a zero denominator), and the historical usage times (LS) are substituted into the formula to calculate the cargo transportation coefficient (HS). The system presets a track threshold interval to evaluate which tracks are suitable for the current cargo transportation. The calculated cargo transportation coefficient is matched with the preset threshold interval to find the track that meets the requirements as the optimal pulley track. This matching process may also take other factors into consideration, such as track accessibility, maintenance status, etc. The packaged cargo is transported through the selected optimal pulley track. During transportation, the system may track the location and status of the cargo in real time and generate cargo transportation information.

[0091] The technical effect of the above technical solution is: by calculating the shortest transportation trajectory and matching the optimal pulley track, the transportation time and cost are reduced and the overall transportation efficiency is improved. Selecting a suitable pulley track can reduce the vibration and impact of the goods during transportation, thereby reducing the risk of damage to the goods. The system intelligently selects the optimal transportation track according to the characteristics of the goods and transportation requirements, so that logistics resources such as pulley tracks are fully utilized. The entire process, from the generation of the transportation trajectory to the selection of the optimal track, and then to the actual transportation of the goods, is highly automated, reducing manual intervention and errors. Through the analysis of real-time data and historical data, the system can make more accurate decisions and improve the scientificity and accuracy of logistics management. The generation and recording of cargo transportation information makes the transportation process of the goods traceable, which helps to quickly locate and solve problems.

[0092] In one embodiment of the present invention, S3 includes:

[0093] Locate and track the goods according to the goods transportation information and obtain tracking and positioning information;

[0094] Calculate the cargo transportation rate according to the tracking and positioning information, compare the cargo transportation rate with a preset rate threshold, and obtain a rate comparison result;

[0095] The calculation formula for the cargo transportation rate is:

[0096]

[0097] Among them, HV is the cargo transportation rate, SV is the actual transportation rate of the pulley track as of the current moment, YV is the preset transportation rate of the pulley track, YC is the preset transportation time of the pulley track, SC is the actual transportation time of the pulley track, and HY is the minimum threshold of the preset threshold interval of the pulley track;

[0098] Determine the transport status of the cargo according to the rate comparison result to obtain a transport status determination result;

[0099] Marking the corresponding goods for transportation abnormality according to the transportation status determination result;

[0100] When the cargo transportation rate is greater than the preset rate threshold, the transportation is marked as normal; otherwise, the transportation is marked as abnormal.

[0101] According to the abnormal transport mark, the corresponding cargo transport slide rail is restarted and warned until the warning is lifted and the transport cargo information is obtained.

[0102] The working principle of the above technical solution is as follows: the system uses GPS, RFID, IoT sensors and other technical means to locate and track the goods in real time based on the cargo transportation information. These technologies can provide accurate location information of the goods and form tracking and positioning information. Based on the tracking and positioning information, the system calculates the real-time rate (HV) of the cargo transportation. The calculation formula combines the current actual transportation rate (SV), preset transportation rate (YV), preset transportation time (YC) and actual transportation time (SC) of the pulley track, and considers the minimum threshold (HY) of the preset threshold interval of the track as an adjustment factor to more accurately reflect the transportation efficiency. The calculated cargo transportation rate (HV) is compared with the preset rate threshold. This threshold is set based on factors such as transportation contracts, logistics efficiency requirements or industry standards. Based on the comparison results, the system determines the cargo transportation status. If the transportation rate is greater than or equal to the preset rate threshold, it is determined to be normal transportation; otherwise, it is determined to be abnormal transportation. For goods determined to be abnormal transportation, the system automatically marks the abnormality and generates corresponding warning information within the system. The system may trigger a series of response measures, such as restarting the corresponding cargo transport slide (if the abnormality is caused by a technical failure), or sending an early warning notification to relevant personnel for timely intervention. When the transportation abnormality is successfully handled and restored to normal, the system will remove the early warning status and update the transport cargo information, including the latest location, status, estimated arrival time, etc.

[0103] The technical effects of the above technical solutions are as follows: real-time tracking and positioning technology makes the transportation process of goods more transparent, and customers and logistics managers can understand the status of goods at any time. By monitoring the transportation rate and responding to transportation anomalies in a timely manner, the system can reduce the risk of loss, damage or delay of goods and improve transportation safety. By comparing the transportation rate with the preset threshold, the system can promptly discover problems in the transportation process and take corresponding measures to solve them, thereby improving the overall logistics efficiency. For transportation anomalies caused by technical failures and other reasons, the system can quickly restart the transportation slide to reduce the waste of resources caused by downtime. Through automated and intelligent transportation management, the system can reduce manual intervention and errors, thereby reducing operating costs. Timely and accurate cargo transportation information and efficient exception handling mechanisms can improve customer satisfaction with logistics services.

[0104] In one embodiment of the present invention, the S4 includes:

[0105] Acquire cargo distribution progress information based on the transport cargo information and the cargo distribution list;

[0106] When the distribution progress information is 100%, the goods are exported through the goods export window, and the consignee identifies and receives the goods through face recognition or fingerprint recognition;

[0107] When the distribution progress information is less than 100%, the incomplete distribution progress information is obtained, and the goods are reallocated according to the incomplete distribution progress information until the distribution progress information is 100%.

[0108] The working principle of the above technical solution is as follows: the system continuously monitors and records the goods distribution process, including the completion of the packaging, loading, transportation and other stages of each goods. Combined with the transport goods information and the distribution list, the system calculates the current distribution progress information, which is usually expressed in percentage form, reflecting the degree of completion of the distribution task. When the distribution progress information reaches 100%, it means that all goods have been distributed according to the distribution list and are ready to be output. At this time, the system controls the goods output window (such as the delivery port of the automated warehouse) to open, allowing the goods to be output. The consignee uses biometric identification technologies such as face recognition and fingerprint recognition to verify the identity, and can only perform the receiving operation after confirming that the identity is correct. This identification method improves the security and accuracy of the receiving process. If the distribution progress information is less than 100%, it means that there are unfinished or erroneous parts in the distribution process. At this time, the system will obtain detailed information on the unfinished distribution progress, including which goods are not fully distributed and which links have problems. Based on this information, the system may automatically trigger the re-distribution process, or issue instructions to the operators, requiring them to make corresponding adjustments and processing according to the unfinished distribution progress information. This process may include repackaging, adjusting the loading sequence, changing the means of transport, etc. Repeat the above steps until the distribution progress information reaches 100% again, indicating that all goods have been correctly distributed and are ready for export.

[0109] The technical effect of the above technical solution is: through the automated and intelligent distribution progress monitoring and adjustment mechanism, the system can promptly discover and solve problems in the distribution process, thereby improving the distribution efficiency. The real-time acquisition and feedback of distribution progress information enables operators to understand the distribution situation in a timely manner and make adjustments as needed, thereby reducing the distribution error rate. The use of biometric technologies such as face recognition and fingerprint recognition for identity verification of consignees improves the security and reliability of the receiving process. Through automated cargo output and intelligent receiving identification processes, manual intervention and waiting time are reduced, and user experience is improved. The automated distribution and receiving processes reduce labor costs and error costs, thereby reducing overall operating costs. Real-time distribution progress information and cargo tracking information make the logistics process more transparent, making it easier for customers and logistics managers to understand logistics dynamics at any time.

[0110] In one embodiment of the present invention, the system comprises:

[0111] A cargo packing module is used to obtain cargo packing priorities according to cargo demand information, generate a cargo distribution list according to the cargo packing priorities, generate a cargo packing path according to the cargo distribution list information, pack the cargo according to the cargo packing path, and obtain cargo packing information;

[0112] A cargo transportation module, used to obtain a cargo transportation trajectory, determine the shortest transportation trajectory according to the cargo transportation trajectory, calculate a cargo transportation coefficient, determine an optimal pulley track according to the cargo transportation coefficient, perform cargo transportation, and obtain cargo transportation information;

[0113] The transport adjustment module is used to obtain the tracking and positioning information of the cargo transportation information, calculate the cargo transportation rate according to the tracking and positioning information, mark the cargo transportation abnormality according to the cargo transportation rate, and then restart the slide rail and issue an early warning until the early warning is lifted;

[0114] The distribution verification module is used to obtain the distribution progress information, obtain the distribution progress status according to the distribution progress information, and perform classification and regulation according to the distribution progress status until the distribution progress information is 100%.

[0115] The working principle of the above technical solution is as follows: the system first analyzes and determines the packing priority of each cargo according to the cargo demand information. Based on these priorities, the system automatically generates a distribution list, which lists in detail the cargo to be packaged and its order. The system plans the optimal cargo packaging path according to the distribution list, and guides the unmanned equipment or robot to pack efficiently along this path. After the packaging is completed, the system records and stores the cargo packaging information to prepare for the subsequent process. The system obtains the initial and terminal information of the cargo transportation, and calculates the shortest transportation trajectory through the algorithm. The cargo transportation coefficient is calculated based on the actual situation of the cargo transportation to determine the most suitable pulley track. The cargo is placed on the selected pulley track for automatic transportation, and the system records the cargo transportation information in real time. Through GPS or other tracking and positioning technologies, the system continuously monitors the real-time location of the cargo transportation. Based on the tracking and positioning information, the actual rate of cargo transportation is calculated and compared with the expected rate. If the transportation rate is found to be abnormal (such as too slow, stagnant, etc.), the system immediately marks the abnormality and triggers the corresponding restart or early warning mechanism. If the problem is solved in time, the early warning is lifted; otherwise, the system will take further measures, such as changing the transportation path or notifying maintenance personnel. The system obtains and updates the distribution progress information in real time, including the number of packaged goods, the number of transported goods, etc. Based on the distribution progress information, the system evaluates the current distribution progress status and classifies and regulates accordingly. For the links with lagging progress, the system may adjust the packaging order, optimize the transportation route, or increase manpower / equipment resources to ensure that the overall distribution progress reaches 100%.

[0116] The technical effects of the above technical solutions are: through the automated cargo packaging and transportation process, manual intervention is significantly reduced, and the speed and efficiency of cargo distribution are improved. Intelligent decision-making based on cargo packaging priority and transportation coefficient ensures that resources (such as manpower, equipment, and time) are optimally configured. Real-time monitoring of cargo transportation status, timely detection and handling of abnormal situations, and effective prevention of cargo loss or delays. The system records and displays comprehensive cargo distribution progress and transportation information, provides decision-making support for management, and improves management transparency. By reducing manual errors and improving efficiency, the overall operating cost is reduced and the competitiveness of the enterprise is enhanced.

[0117] In one embodiment of the present invention, the cargo packaging module comprises:

[0118] Acquire the user's cargo demand information through the wireless communication network, classify the cargo demand information according to the preset cargo types, and obtain category demand information;

[0119] Obtaining a preset weight of a category of goods, setting a priority of the category of goods to be packed according to the preset weight of the category of goods, and obtaining a priority ranking of the goods;

[0120] Sort the types of goods in the goods demand information according to the priority order to obtain the demand goods order;

[0121] Generate a distribution list according to the required goods sorting and the goods demand information;

[0122] Determine the distribution starting point information and the distribution end point information according to the distribution list, and generate a cargo packaging path according to the distribution starting point information and the distribution end point information;

[0123] According to the cargo packing path, the robot is controlled to pack the cargo list in sequence to obtain the packaged cargo and cargo packing information.

[0124] The working principle of the above technical solution is as follows: the system receives cargo demand information from users or order systems through a wireless communication network. The received cargo demand information is classified according to preset cargo categories, such as food, daily necessities, electronic products, etc., to obtain category demand information. The system determines the packing priority of each category of cargo according to the preset category cargo weights. The weight setting is based on the characteristics of the cargo, such as fragility, shelf life, etc. For example, the weight of fragile goods (such as eggs) is lower than that of non-fragile goods (such as paper towels). According to the weight setting, the system generates a cargo priority ranking to ensure that the cargo with higher weight (i.e., less prone to damage or more urgently needed) is processed first during the packing process. The system sorts the cargo types in the cargo demand information according to the priority ranking to form a demand cargo ranking. Combining the cargo demand information and the demand cargo ranking, the system generates a detailed distribution list, listing the types, quantities and priorities of the cargo to be packaged. The system determines the distribution starting point (such as the storage location of the cargo in the warehouse) and the distribution end point (such as the packing table or shipping area) according to the distribution list. Based on the distribution starting point and end point information, the system uses a path planning algorithm to generate the optimal cargo packaging path to reduce the transportation distance and time. According to the generated cargo packing path, the system controls the robot or automated packing equipment to pack the cargo in the cargo list in sequence. During the packing process, the system records the information of the packed cargo in real time, including the packing time, packing personnel (if manually assisted), packing status, etc., to form cargo packing information.

[0125] The technical effects of the above technical solutions are as follows: through automated packaging processes and path planning, packaging efficiency is significantly improved, and manual intervention and waiting time are reduced. Packing is sorted based on cargo characteristics and demand priorities to ensure efficient use of resources (such as manipulators and warehouse space). By giving priority to high-risk cargo such as fragile goods, the damage rate of cargo during packaging and transportation is effectively reduced. Fast and accurate distribution and packaging services can improve customer satisfaction and enhance corporate competitiveness. Real-time recorded cargo packaging information provides strong data support for subsequent logistics tracking, inventory management and customer service. The system can flexibly adjust packaging strategies and priority settings according to different cargo types and needs to adapt to different business scenarios and demand changes.

[0126] In one embodiment of the present invention, the cargo transportation module comprises:

[0127] Generate a cargo transportation track according to the cargo packaging information, and determine the transportation starting point and transportation end point according to the cargo transportation track;

[0128] The shortest transportation trajectory is determined according to the transportation starting point and the transportation end point; the shortest transportation trajectory is the shortest diameter between the transportation starting point and the transportation end point.

[0129] Retrieving preset pulley track information, and calculating the cargo transportation coefficient according to the preset pulley track information, the shortest transportation track information and the cargo packaging information;

[0130] The calculation formula of the cargo transportation coefficient is:

[0131]

[0132] Among them, HS is the cargo transportation coefficient, HZ is the cargo weight, GZ is the load-bearing capacity of the preset pulley track, Q is the average weight value of the cargo, GV is the historical failure rate of the preset pulley track, and LS is the historical usage times of the preset pulley track;

[0133] When the failure rate or the number of times used is 0, set it to 1;

[0134] Acquire a preset track threshold interval, match the cargo transport coefficient with the preset track threshold interval, and obtain a matching track, where the matching track is the optimal pulley track;

[0135] The packaged goods are transported via the optimal pulley track to obtain the goods transportation information.

[0136] The working principle of the above technical solution is as follows: Based on the previously generated cargo packaging information, the system further plans the initial trajectory of cargo transportation. This trajectory roughly describes the path of the cargo from the warehouse or packaging point to the final destination (such as the customer's delivery address or another processing center). The specific transportation starting point and end point are extracted from the cargo transportation trajectory. These points are usually the warehouse exit, loading area or specific logistics nodes. Using a geographic information system (GIS) or a path optimization algorithm, the system calculates the shortest diameter (or more precisely, the shortest path) from the transportation starting point to the end point. This path may be the shortest in terms of straight-line distance, or it may be the optimal path after considering factors such as actual road conditions, traffic rules, and road grades. The system retrieves the preset pulley track information, which includes the track's load-bearing capacity, historical failure rate, and historical usage times. According to the cargo transportation coefficient formula, the cargo weight (HZ), the average cargo weight value (Q, which may be based on the cargo type or a specific calculation), the preset pulley track load-bearing capacity (GZ), the historical failure rate (GV, adjusted to a non-zero value to avoid a zero denominator), and the historical usage times (LS) are substituted into the formula to calculate the cargo transportation coefficient (HS). The system presets a track threshold interval to evaluate which tracks are suitable for the current cargo transportation. The calculated cargo transportation coefficient is matched with the preset threshold interval to find the track that meets the requirements as the optimal pulley track. This matching process may also take other factors into consideration, such as track accessibility, maintenance status, etc. The packaged cargo is transported through the selected optimal pulley track. During transportation, the system may track the location and status of the cargo in real time and generate cargo transportation information.

[0137] The technical effect of the above technical solution is: by calculating the shortest transportation trajectory and matching the optimal pulley track, the transportation time and cost are reduced and the overall transportation efficiency is improved. Selecting a suitable pulley track can reduce the vibration and impact of the goods during transportation, thereby reducing the risk of damage to the goods. The system intelligently selects the optimal transportation track according to the characteristics of the goods and transportation requirements, so that logistics resources such as pulley tracks are fully utilized. The entire process, from the generation of the transportation trajectory to the selection of the optimal track, and then to the actual transportation of the goods, is highly automated, reducing manual intervention and errors. Through the analysis of real-time data and historical data, the system can make more accurate decisions and improve the scientificity and accuracy of logistics management. The generation and recording of cargo transportation information makes the transportation process of the goods traceable, which helps to quickly locate and solve problems.

[0138] In one embodiment of the present invention, the transport regulation module comprises:

[0139] Locate and track the goods according to the goods transportation information and obtain tracking and positioning information;

[0140] Calculate the cargo transportation rate according to the tracking and positioning information, compare the cargo transportation rate with a preset rate threshold, and obtain a rate comparison result;

[0141] The calculation formula for the cargo transportation rate is:

[0142]

[0143] Among them, HV is the cargo transportation rate, SV is the actual transportation rate of the pulley track as of the current moment, YV is the preset transportation rate of the pulley track, YC is the preset transportation time of the pulley track, SC is the actual transportation time of the pulley track, and HY is the minimum threshold of the preset threshold interval of the pulley track;

[0144] Determine the transport status of the cargo according to the rate comparison result to obtain a transport status determination result;

[0145] Marking the corresponding goods for transportation abnormality according to the transportation status determination result;

[0146] When the cargo transportation rate is greater than the preset rate threshold, the transportation is marked as normal; otherwise, the transportation is marked as abnormal.

[0147] According to the abnormal transport mark, the corresponding cargo transport slide rail is restarted and warned until the warning is lifted and the transport cargo information is obtained.

[0148] The working principle of the above technical solution is as follows: the system uses GPS, RFID, IoT sensors and other technical means to locate and track the goods in real time based on the cargo transportation information. These technologies can provide accurate location information of the goods and form tracking and positioning information. Based on the tracking and positioning information, the system calculates the real-time rate (HV) of the cargo transportation. The calculation formula combines the current actual transportation rate (SV), preset transportation rate (YV), preset transportation time (YC) and actual transportation time (SC) of the pulley track, and considers the minimum threshold (HY) of the preset threshold interval of the track as an adjustment factor to more accurately reflect the transportation efficiency. The calculated cargo transportation rate (HV) is compared with the preset rate threshold. This threshold is set based on factors such as transportation contracts, logistics efficiency requirements or industry standards. Based on the comparison results, the system determines the cargo transportation status. If the transportation rate is greater than or equal to the preset rate threshold, it is determined to be normal transportation; otherwise, it is determined to be abnormal transportation. For goods determined to be abnormal transportation, the system automatically marks the abnormality and generates corresponding warning information within the system. The system may trigger a series of response measures, such as restarting the corresponding cargo transport slide (if the abnormality is caused by a technical failure), or sending an early warning notification to relevant personnel for timely intervention. When the transportation abnormality is successfully handled and restored to normal, the system will remove the early warning status and update the transport cargo information, including the latest location, status, estimated arrival time, etc.

[0149] The technical effects of the above technical solutions are as follows: real-time tracking and positioning technology makes the transportation process of goods more transparent, and customers and logistics managers can understand the status of goods at any time. By monitoring the transportation rate and responding to transportation anomalies in a timely manner, the system can reduce the risk of loss, damage or delay of goods and improve transportation safety. By comparing the transportation rate with the preset threshold, the system can promptly discover problems in the transportation process and take corresponding measures to solve them, thereby improving the overall logistics efficiency. For transportation anomalies caused by technical failures and other reasons, the system can quickly restart the transportation slide to reduce the waste of resources caused by downtime. Through automated and intelligent transportation management, the system can reduce manual intervention and errors, thereby reducing operating costs. Timely and accurate cargo transportation information and efficient exception handling mechanisms can improve customer satisfaction with logistics services.

[0150] In one embodiment of the present invention, the cargo matching verification module includes:

[0151] Acquire cargo distribution progress information based on the transport cargo information and the cargo distribution list;

[0152] When the distribution progress information is 100%, the goods are exported through the goods export window, and the consignee identifies and receives the goods through face recognition or fingerprint recognition;

[0153] When the distribution progress information is less than 100%, the incomplete distribution progress information is obtained, and the goods are reallocated according to the incomplete distribution progress information until the distribution progress information is 100%.

[0154] The working principle of the above technical solution is as follows: the system continuously monitors and records the goods distribution process, including the completion of the packaging, loading, transportation and other stages of each goods. Combined with the transport goods information and the distribution list, the system calculates the current distribution progress information, which is usually expressed in percentage form, reflecting the degree of completion of the distribution task. When the distribution progress information reaches 100%, it means that all goods have been distributed according to the distribution list and are ready to be output. At this time, the system controls the goods output window (such as the delivery port of the automated warehouse) to open, allowing the goods to be output. The consignee uses biometric identification technologies such as face recognition and fingerprint recognition to verify the identity, and can only perform the receiving operation after confirming that the identity is correct. This identification method improves the security and accuracy of the receiving process. If the distribution progress information is less than 100%, it means that there are unfinished or erroneous parts in the distribution process. At this time, the system will obtain detailed information on the unfinished distribution progress, including which goods are not fully distributed and which links have problems. Based on this information, the system may automatically trigger the re-distribution process, or issue instructions to the operators, requiring them to make corresponding adjustments and processing according to the unfinished distribution progress information. This process may include repackaging, adjusting the loading sequence, changing the means of transport, etc. Repeat the above steps until the distribution progress information reaches 100% again, indicating that all goods have been correctly distributed and are ready for export.

[0155] The technical effect of the above technical solution is: through the automated and intelligent distribution progress monitoring and adjustment mechanism, the system can promptly discover and solve problems in the distribution process, thereby improving the distribution efficiency. The real-time acquisition and feedback of distribution progress information enables operators to understand the distribution situation in a timely manner and make adjustments as needed, thereby reducing the distribution error rate. The use of biometric technologies such as face recognition and fingerprint recognition for identity verification of consignees improves the security and reliability of the receiving process. Through automated cargo output and intelligent receiving identification processes, manual intervention and waiting time are reduced, and user experience is improved. The automated distribution and receiving processes reduce labor costs and error costs, thereby reducing overall operating costs. Real-time distribution progress information and cargo tracking information make the logistics process more transparent, making it easier for customers and logistics managers to understand logistics dynamics at any time.

[0156] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An unmanned pulley track intelligent cargo distribution method, characterized in that: The method comprises: S1. According to cargo demand information, obtain cargo packing priority, generate a cargo distribution list according to the cargo packing priority, generate a cargo packing path according to the cargo distribution list information, pack the cargo according to the cargo packing path, and obtain cargo packing information; Wherein, the S1 includes: Acquire the user's cargo demand information through a wireless communication network, classify the cargo demand information according to preset cargo categories, and obtain category demand information; Obtaining a preset weight of a category of goods, setting a priority of the category of goods to be packed according to the preset weight of the category of goods, and obtaining a priority ranking of the goods; Sort the types of goods in the goods demand information according to the priority order to obtain the demand goods order; Generate a distribution list according to the required goods sorting and the goods demand information; Determine the distribution starting point information and the distribution end point information according to the distribution list, and generate a cargo packaging path according to the distribution starting point information and the distribution end point information; According to the cargo packing path, the robot is controlled to pack the cargo list in sequence, and the packed cargo and cargo packing information are obtained; S2. Obtain a cargo transportation trajectory, determine the shortest transportation trajectory according to the cargo transportation trajectory, calculate a cargo transportation coefficient, determine an optimal pulley track according to the cargo transportation coefficient, transport the cargo, and obtain cargo transportation information; Wherein, the S2 includes: Generate a cargo transportation track according to the cargo packaging information, and determine the transportation starting point and transportation end point according to the cargo transportation track; Determine the shortest transport track according to the transport starting point and the transport end point; retrieve the preset pulley track information, and calculate the cargo transportation coefficient according to the preset pulley track information, the shortest transport track information and the cargo packaging information; The calculation formula of the cargo transportation coefficient is: Among them, HS is the cargo transportation coefficient, HZ is the cargo weight, GZ is the load-bearing capacity of the preset pulley track, Q is the average weight value of the cargo, GV is the historical failure rate of the preset pulley track, and LS is the historical usage times of the preset pulley track; Acquire a preset track threshold interval, match the cargo transport coefficient with the preset track threshold interval, and obtain a matching track, where the matching track is the optimal pulley track; Transporting the packaged goods through the optimal pulley track to obtain cargo transportation information; S3, obtaining tracking and positioning information of cargo transportation information, calculating cargo transportation speed according to the tracking and positioning information, marking cargo transportation abnormality according to the cargo transportation speed, and then restarting the slide rail and issuing an early warning until the early warning is lifted; S4. Obtain the distribution progress information, obtain the distribution progress status according to the distribution progress information, and perform classification and regulation according to the distribution progress status until the distribution progress information is 100%.

2. According to claim 1, an unmanned pulley track intelligent cargo distribution method is characterized in that: The S3 includes: Locate and track the goods according to the goods transportation information and obtain tracking and positioning information; Calculate the cargo transportation rate according to the tracking and positioning information, compare the cargo transportation rate with a preset rate threshold, and obtain a rate comparison result; Determine the transport status of the cargo according to the rate comparison result to obtain a transport status determination result; Marking the corresponding goods for transportation abnormality according to the transportation status determination result; According to the abnormal transport mark, the corresponding cargo transport slide rail is restarted and warned until the warning is lifted and the cargo transport information is obtained.

3. According to claim 1, an unmanned pulley track intelligent cargo distribution method is characterized in that: The S4 includes: Obtaining cargo distribution progress information based on the cargo transportation information and the cargo distribution list; When the distribution progress information is 100%, the goods are exported through the goods export window; When the distribution progress information is less than 100%, the incomplete distribution progress information is obtained, and the goods are reallocated according to the incomplete distribution progress information until the distribution progress information is 100%.

4. An unmanned pulley track intelligent cargo distribution system, characterized in that: The system comprises: A cargo packing module is used to obtain cargo packing priorities according to cargo demand information, generate a cargo distribution list according to the cargo packing priorities, generate a cargo packing path according to the cargo distribution list information, pack the cargo according to the cargo packing path, and obtain cargo packing information; Wherein, the cargo packaging module includes: Acquire the user's cargo demand information through a wireless communication network, classify the cargo demand information according to preset cargo categories, and obtain category demand information; Obtaining a preset weight of a category of goods, setting a priority of the category of goods to be packed according to the preset weight of the category of goods, and obtaining a priority ranking of the goods; Sort the types of goods in the goods demand information according to the priority order to obtain the demand goods order; Generate a distribution list according to the required goods sorting and the goods demand information; Determine the distribution starting point information and the distribution end point information according to the distribution list, and generate a cargo packaging path according to the distribution starting point information and the distribution end point information; According to the cargo packing path, the robot is controlled to pack the cargo list in sequence, and the packed cargo and cargo packing information are obtained; A cargo transportation module, used to obtain a cargo transportation trajectory, determine the shortest transportation trajectory according to the cargo transportation trajectory, calculate a cargo transportation coefficient, determine an optimal pulley track according to the cargo transportation coefficient, perform cargo transportation, and obtain cargo transportation information; Wherein, the cargo transportation module includes: Generate a cargo transportation track according to the cargo packaging information, and determine the transportation starting point and transportation end point according to the cargo transportation track; Determine the shortest transportation trajectory according to the transportation starting point and the transportation end point; Retrieving preset pulley track information, and calculating the cargo transportation coefficient according to the preset pulley track information, the shortest transportation track information and the cargo packaging information; The calculation formula of the cargo transportation coefficient is: Among them, HS is the cargo transportation coefficient, HZ is the cargo weight, GZ is the load-bearing capacity of the preset pulley track, Q is the average weight value of the cargo, GV is the historical failure rate of the preset pulley track, and LS is the historical usage times of the preset pulley track; Acquire a preset track threshold interval, match the cargo transport coefficient with the preset track threshold interval, and obtain a matching track, where the matching track is the optimal pulley track; Transporting the packaged goods through the optimal pulley track to obtain cargo transportation information; The transport adjustment module is used to obtain the tracking and positioning information of the cargo transportation information, calculate the cargo transportation rate according to the tracking and positioning information, mark the cargo transportation abnormality according to the cargo transportation rate, and then restart the slide rail and issue an early warning until the early warning is lifted; The distribution verification module is used to obtain the distribution progress information, obtain the distribution progress status according to the distribution progress information, and perform classification and regulation according to the distribution progress status until the distribution progress information is 100%.

5. According to claim 4, an unmanned pulley track intelligent cargo distribution system is characterized in that: The transport regulation module comprises: Locate and track the goods according to the goods transportation information and obtain tracking and positioning information; Calculate the cargo transportation rate according to the tracking and positioning information, compare the cargo transportation rate with a preset rate threshold, and obtain a rate comparison result; Determine the transport status of the cargo according to the rate comparison result to obtain a transport status determination result; Marking the corresponding goods for transportation abnormality according to the transportation status determination result; According to the abnormal transport mark, the corresponding cargo transport slide rail is restarted and warned until the warning is lifted and the cargo transport information is obtained.

6. According to claim 4, an unmanned pulley track intelligent cargo distribution system is characterized in that: The cargo distribution verification module includes: Obtaining cargo distribution progress information based on the cargo transportation information and the cargo distribution list; When the distribution progress information is 100%, the goods are exported through the goods export window; When the distribution progress information is less than 100%, the incomplete distribution progress information is obtained, and the goods are reallocated according to the incomplete distribution progress information until the distribution progress information is 100%.

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