An intelligent cargo handling method and system based on a port bulk cargo belt conveyor and an intelligent production system

Abstract

The application relates to an intelligent cargo handling method and system based on a port bulk cargo belt conveyor and an intelligent production system. The method comprises the following steps: receiving cargo handling business entrustment information, generating a cargo handling operation task according to the cargo handling business entrustment information and a cargo handling operation strategy, and issuing the cargo handling operation task to corresponding operation personnel; acquiring process information of the bulk cargo belt conveyor in executing the cargo handling operation task; judging whether the completion degree of the cargo handling operation task reaches a preset cargo handling early warning threshold based on the process information; triggering early warning and generating early warning reminding information to be issued to the operation personnel if the completion degree reaches the preset cargo handling early warning threshold; receiving confirmation information of the operation personnel in completing the cargo handling operation task, and updating related information. The scheme provided by the application can realize intelligent cargo handling of port bulk cargo through information means, improve logistics efficiency and service quality, intelligently push messages in the intelligent cargo handling process, optimize the production business process of the port bulk cargo, and improve the production operation efficiency and operation safety of the wharf.

Description

Technical Field

[0001] This application relates to the field of port bulk cargo tallying technology, and in particular to an intelligent tallying method, system and intelligent production system based on port bulk cargo conveyor belts. Background Technology

[0002] Port bulk cargo refers to the collective term for bulk goods and general cargo that are loaded, unloaded, transported, and stored at ports. Bulk cargo refers to goods that are transported and handled directly in loose stock without packaging, such as coal, ore, grain, and cement. General cargo refers to a wide variety of goods with different packaging forms and properties, including various types of packaged goods such as bags, drums, and boxes, such as fertilizers, hardware, and machine parts.

[0003] After bulk cargo arrives at the port via land or water transport, it is usually transferred by bulk cargo handling equipment, such as transporting bulk cargo unloaded from ships to storage yards, warehouses, or directly to trucks. Bulk cargo handling equipment includes grab cranes, bucket elevators, forklifts, belt conveyors, etc.

[0004] Belt conveyors, as key equipment in modern logistics, are widely used in various port loading and unloading operations. Compared to traditional manual handling, belt conveyors enable continuous and rapid transport of goods, reducing operating time and labor costs, and significantly improving loading and unloading efficiency. During transportation, belt conveyors can smoothly and accurately transport goods, preventing damage or loss and ensuring cargo safety. Therefore, belt conveyors have extremely high utilization value for busy bulk cargo terminals.

[0005] The belt conveyor systems typically installed at bulk cargo terminals are generally only used for transportation and weighing in conjunction with belt scales. The weighing data is stored independently or manually recorded by operators, resulting in low cargo handling efficiency. Summary of the Invention

[0006] To address or partially address the problems existing in related technologies, this application provides an intelligent cargo handling method, system, and intelligent production system based on port bulk cargo conveyor belts. This system can realize intelligent cargo handling of port bulk cargo through information technology, improve logistics efficiency and service quality, and simultaneously optimize the production business process of port bulk cargo by intelligently pushing messages during the intelligent cargo handling process, thereby improving terminal production efficiency and operational safety.

[0007] The first aspect of this application provides an intelligent cargo handling method based on a port bulk cargo conveyor belt, comprising:

[0008] Receive cargo handling service entrustment information, generate cargo handling operation tasks based on the cargo handling service entrustment information and cargo handling operation strategy, and issue them to the corresponding operation personnel;

[0009] Obtain process information of the bulk cargo conveyor belt performing the sorting operation task;

[0010] Based on the process information, it is determined whether the completion rate of the sorting task has reached the preset sorting warning threshold; if it has, an warning is triggered and a warning reminder message is generated and sent to the operator.

[0011] The system receives confirmation information from the operator that the sorting task has been completed, and updates the relevant information of the intelligent sorting system based on the confirmation information.

[0012] In some embodiments of this application, before obtaining the process information of the bulk cargo conveyor belt performing the tallying operation task, the method further includes:

[0013] Obtain the initial state of the bulk cargo conveyor before it performs the sorting operation task, and determine whether it meets the preset sorting operation conditions of the bulk cargo conveyor; if it does, then perform the sorting operation task.

[0014] In some embodiments of this application, obtaining the initial state of the bulk cargo conveyor before executing the sorting operation task, and determining whether it meets the preset sorting operation conditions of the bulk cargo conveyor; if it does, then executing the sorting operation task includes:

[0015] Obtain the initial working weight value of the bulk cargo conveyor before it performs the sorting operation and the historical working weight value of the bulk cargo conveyor; the historical working weight value of the bulk cargo conveyor is the working weight value when the bulk cargo conveyor ends the last sorting operation.

[0016] Determine whether the difference between the initial work weight value and the historical task work weight value is within the set weight range; if so, execute the sorting operation task.

[0017] Otherwise, an early warning message will be generated and sent to the operators.

[0018] In some embodiments of this application, the step of determining whether the completion rate of the cargo handling task has reached a preset cargo handling early warning threshold based on the process information; if it has, an early warning is triggered, and an early warning reminder message is generated and sent to the operator, including:

[0019] Based on the cargo information in the cargo handling business entrustment information, the preset cargo handling early warning threshold for the cargo handling operation task is obtained;

[0020] The inventory quantity in the acquired process information is compared with the preset inventory warning threshold of the inventory task to determine whether the completion rate of the inventory task has reached the preset inventory warning threshold.

[0021] If the condition is reached, an early warning will be triggered, and a warning reminder message will be generated and sent to the workers.

[0022] In some embodiments of this application, after determining whether the completion rate of the cargo handling task has reached a preset cargo handling early warning threshold based on the process information; and triggering an early warning and generating an early warning reminder message to the operator, the method further includes:

[0023] Based on the cargo information in the cargo handling business entrustment information, the planned cargo handling quantity for the cargo handling operation task is obtained;

[0024] When the amount of goods handled in the process information reaches the planned amount of goods handled in the handling operation task, a stop operation instruction is issued to the bulk cargo conveyor belt, and an early warning reminder is generated and sent to the operators.

[0025] In some embodiments of this application, the method further includes:

[0026] Based on the obtained process information of the bulk cargo conveyor belt operation status, it is determined whether the status of the bulk cargo conveyor belt is abnormal when performing the sorting operation task; if so, an early warning is triggered and an early warning reminder message is generated and sent to the operators.

[0027] A second aspect of this application provides an intelligent cargo handling system based on a port bulk cargo conveyor belt, comprising:

[0028] The business processing unit is used to receive cargo handling business entrustment information, generate cargo handling operation tasks according to the cargo handling business entrustment information and cargo handling operation strategy, and issue them to the corresponding operation personnel;

[0029] The monitoring unit is used to acquire process information of the bulk cargo conveyor belt performing the sorting operation task;

[0030] The early warning unit is used to determine whether the completion rate of the sorting operation task has reached a preset sorting early warning threshold based on the process information; if it has, an early warning is triggered and an early warning reminder message is generated and sent to the operator.

[0031] The data processing unit is used to receive confirmation information from the operator that the operator has completed the task, and to update the relevant information of the intelligent sorting system based on the confirmation information.

[0032] A third aspect of this application provides an intelligent production system based on a port bulk cargo conveyor belt, comprising:

[0033] The intelligent cargo handling system is used to receive cargo handling business entrustment information, generate cargo handling operation tasks according to the cargo handling business entrustment information and cargo handling operation strategy, and issue them to the corresponding operators; obtain process information of the bulk cargo conveyor belt executing the cargo handling operation tasks; determine whether the completion degree of the cargo handling operation tasks has reached a preset cargo handling early warning threshold based on the process information; if it has reached the threshold, trigger an early warning and generate an early warning reminder message to be sent to the operators; receive confirmation information from the operators that they have completed the cargo handling operation tasks, and update the relevant information of the intelligent cargo handling system based on the confirmation information;

[0034] A bulk cargo conveyor belt is used to perform the cargo handling operation task and collect process information of performing the cargo handling operation task.

[0035] The mobile operation system is used to receive the sorting operation tasks and early warning reminders, as well as to send confirmation information for the completion of the sorting operation tasks.

[0036] A fourth aspect of this application provides an electronic device, comprising:

[0037] Processor; and

[0038] A memory that stores executable code, which, when executed by the processor, causes the processor to perform the method described above.

[0039] A fifth aspect of this application provides a computer-readable storage medium having executable code stored thereon, which, when executed by a processor of an electronic device, causes the processor to perform the method described above.

[0040] The technical solution provided in this application can include the following beneficial effects: the intelligent cargo handling system can realize the intelligent formulation of cargo handling operation tasks based on cargo handling business entrustment information, and the full-process monitoring and intelligent push of messages during the execution of the cargo handling operation task by the belt conveyor, complete the integration and association of cargo handling business data, efficiently realize the automated production operation of port bulk cargo, realize the full-process control of port bulk cargo production process, optimize production business process, and improve terminal production operation efficiency.

[0041] The technical solution of this application can also monitor the operation status of the belt conveyor in real time during the automated production operation of bulk cargo in ports. When the belt conveyor is stuck, jammed, leaking or malfunctioning, it can intelligently push early warning reminder messages, and perform real-time monitoring and timely maintenance of the belt conveyor while realizing intelligent cargo handling operations.

[0042] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0043] The above and other objects, features and advantages of this application will become more apparent from the following description of exemplary embodiments of this application in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same components in the exemplary embodiments of this application.

[0044] Figure 1 This is a schematic diagram illustrating the relationship between the main entities involved in the port bulk cargo production process, as shown in the embodiments of this application.

[0045] Figure 2 This is a schematic flowchart illustrating an intelligent cargo handling method based on a port bulk cargo conveyor belt, as shown in an embodiment of this application.

[0046] Figure 3 This is a schematic diagram of the structure of an intelligent cargo handling system based on a port bulk cargo conveyor belt, as shown in an embodiment of this application;

[0047] Figure 4 This is a schematic diagram of the structure of an intelligent production system based on a port bulk cargo conveyor belt, as shown in an embodiment of this application.

[0048] Figure 5 This is a schematic diagram of an intelligent cargo handling operation based on a port bulk cargo conveyor belt, as shown in an embodiment of this application.

[0049] Figure 6 This is a schematic diagram of the intelligent push process for sorting messages in the intelligent sorting operation process shown in the embodiments of this application;

[0050] Figure 7 This is a bottom view of the lower surface of the belt conveyor or a top view of the upper surface of the belt conveyor shown in the embodiments of this application;

[0051] Figure 8 This is a schematic diagram of the rule engine configuration shown in an embodiment of this application;

[0052] Figure 9 This is a schematic diagram of the structure of an electronic device shown in an embodiment of this application. Detailed Implementation

[0053] Embodiments of this application will now be described in more detail with reference to the accompanying drawings. While embodiments of this application are shown in the drawings, it should be understood that this application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to make this application more thorough and complete, and to fully convey the scope of this application to those skilled in the art.

[0054] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0055] It should be understood that although the terms "first," "second," "third," etc., may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0056] The belt conveyor systems typically installed at bulk cargo terminals are generally only used for transportation and weighing in conjunction with belt scales. The weighing data is stored independently or manually recorded by operators, resulting in low cargo handling efficiency.

[0057] To address the aforementioned issues, this application provides an intelligent cargo handling method based on a port bulk cargo conveyor belt. This method enables intelligent information-based cargo handling of port bulk cargo through the intelligent push of cargo handling process messages, thereby improving logistics efficiency and service quality, optimizing the production business process of port bulk cargo, and enhancing terminal production and operation efficiency.

[0058] The technical solutions of the embodiments of this application are described in detail below with reference to the accompanying drawings.

[0059] Figure 1 This is a schematic diagram illustrating the relationships between the main entities involved in the port bulk cargo production process, as shown in the embodiments of this application. The main entities involved in the port bulk cargo production process include an intelligent tallying system, bulk cargo loading and unloading equipment, a mobile operation system, and tally clerks.

[0060] The intelligent cargo handling system can be installed on a PC to monitor the progress and transmit data during the loading, unloading, transportation, and tallying of bulk cargo using port equipment such as conveyor belts. The intelligent cargo handling system connects to the bulk cargo handling equipment via a PLC system to collect and transmit real-time operating parameters. The mobile operation system can be installed on mobile devices, such as mobile phones or other specific mobile work equipment. The intelligent cargo handling system connects to the mobile operation system via a wireless transmission module to achieve mutual message transmission. Cargo handlers control the start and stop of the bulk cargo handling equipment and receive messages pushed from the intelligent cargo handling system to the mobile operation system.

[0061] The following section uses a bulk cargo conveyor belt as an example to explain the port bulk cargo production process in detail.

[0062] Figure 2 This is a flowchart illustrating an intelligent cargo handling method based on a port bulk cargo conveyor belt, as shown in an embodiment of this application. This intelligent cargo handling method is executed and implemented by an intelligent cargo handling system.

[0063] See Figure 2 The intelligent cargo handling method based on port bulk cargo conveyor belts includes:

[0064] S1. Receive cargo handling business entrustment information, generate cargo handling operation tasks based on cargo handling business entrustment information and cargo handling operation strategy, and issue them to the corresponding operation personnel.

[0065] In this embodiment, the cargo handling service entrustment information is automatically generated by the customer after submitting the entrustment service through the service window of the intelligent cargo handling system. The cargo handling service entrustment information includes, but is not limited to, the entrustor's information, entrustment type, cargo type, cargo arrival time, outbound time, and cargo weight. The entrustment type, for example, is land-warehouse-water transport or water-land transport. The entrustment type clarifies the loading and unloading requirements of the entrusted service, facilitating the accurate generation of subsequent cargo handling tasks.

[0066] In some implementations, tallying strategies include, but are not limited to, warehouse inventory information, vessel port reporting information, shift scheduling plans, and loading / unloading equipment information.

[0067] Specifically, after receiving cargo handling service request information, the intelligent cargo handling system determines the cargo entry / exit type and the required equipment for loading and unloading based on the request type and cargo type in the request information. That is, it can match the warehouse location, storage time, and required equipment for different request types and cargo types. The required equipment includes grab cranes, bucket elevators, forklifts, belt conveyors, etc., but this application does not limit the specific equipment.

[0068] The intelligent cargo handling system can also generate cargo handling tasks by assigning corresponding work teams based on the estimated arrival time of goods in the cargo handling business entrustment information, the ship reporting information provided by the customs / maritime bureau's ship reporting center, and the corresponding time's personnel information in the cargo loading and unloading team scheduling plan. The team scheduling plan includes team personnel information, team operation time information (e.g., day shift or night shift), and information on the corresponding operating equipment operated by the team personnel.

[0069] Once a sorting task is assigned to the corresponding operator and the operator is reminded to accept the task, the operator can obtain relevant information about the task from the sorting task, including task number, task identifier, cargo type, sorting quantity (cargo weight), warehouse location information, estimated start time of sorting, estimated end time of sorting, and details of the relevant operators and their corresponding equipment.

[0070] In this embodiment of the application, the step of generating sorting tasks is mainly based on a lightweight microservice implementation of the Spring Boot framework to provide intelligent sorting task plans.

[0071] S2. Obtain process information of the bulk cargo conveyor belt performing the sorting operation task.

[0072] When operators receive a cargo handling task via the mobile operation system and begin the task, they select the corresponding bulk cargo conveyor belt and click "Start Operation" before commencing work. The intelligent cargo handling system, based on its signal connection to the bulk cargo conveyor belt, can access the HTTP interface protocol via an IoT base to read process information as the conveyor belt performs the cargo handling task.

[0073] In some implementations, after the bulk cargo conveyor is started by the operator, it can collect its initial state before performing the sorting operation task, determine whether it meets the preset sorting operation conditions of the bulk cargo conveyor, and if so, perform the sorting operation task.

[0074] Specifically, after the operator starts the bulk cargo conveyor belt, the conveyor belt automatically collects its initial state before performing the sorting operation. The intelligent sorting system can then read the initial state information collected by the conveyor belt to determine whether the state of the conveyor belt before performing the sorting operation is abnormal or within the specified state. If it is within the specified state or there is no abnormality, the sorting operation is automatically performed. If it is outside the specified state or there is an abnormality, an early warning is triggered, generating an early warning reminder message and sending it to the operator. The operator can then check the bulk cargo conveyor belt based on the early warning reminder message, which can promptly identify potential faults and problems before sorting, thus avoiding economic losses caused by subsequent sorting data errors or cargo damage.

[0075] Whether the bulk cargo conveyor belt is in an abnormal or specified state before performing cargo handling operations can be determined by comparing its status with its historical status or by comparing it with the system's requirements. For example, a self-inspection of the conveyor belt's operation can be used to determine if there is belt misalignment or if there is material accumulation, thus confirming whether it is in the specified state.

[0076] In some implementations, the initial working weight value before the bulk cargo conveyor belt performs the sorting operation and the historical working weight value of the bulk cargo conveyor belt can be obtained; the historical working weight value of the bulk cargo conveyor belt is the working weight value when the bulk cargo conveyor belt belt ends the last sorting operation; it is determined whether the difference between the initial working weight value and the historical working weight value is within the set weight range; if so, the sorting operation is performed; otherwise, an early warning reminder is generated and sent to the operators.

[0077] After the operator starts the bulk cargo conveyor, it can automatically collect its current cumulative weight, i.e., the initial working weight value. The intelligent sorting system can obtain the working weight values ​​of the bulk cargo conveyor's historical tasks through the HTTP interface protocol connected to the IoT base, i.e., the ending working weight value when the bulk cargo conveyor performed the last task. When the current weight value of the conveyor, i.e., the initial working weight value, is the same as the working weight value at the end of the last sorting task, or the difference between the two is within the set weight range, it is determined that there are no abnormalities such as material accumulation, jamming, or leakage on the conveyor, and the current sorting task can be executed.

[0078] When the current weight value acquired by the bulk cargo conveyor belt is inconsistent with the weight value at the end of the previous operation or exceeds the set weight range, the intelligent cargo handling system determines that there may be abnormalities such as material stacking or jamming. The system automatically generates an early warning message and sends it to the relevant operators, prompting them to check the weight data collected by the conveyor belt for errors and to verify the presence of any abnormalities. Only after the operators have verified the data and clicked "Start Operation" on the mobile operation system can the cargo handling task be executed. This prevents errors in cargo handling data, ensures accurate statistics of actual inventory for various goods, and guarantees the smooth progress of subsequent warehousing arrangements and delivery plans, thus ensuring the efficiency and stability of cargo handling personnel and port production operations. Furthermore, it allows for timely investigation of any abnormalities, avoiding the need for additional time and effort in handling them later, thereby improving cargo handling efficiency and port operational efficiency.

[0079] The acquired process information includes, but is not limited to, the real-time status, operating speed, and location information of the bulk cargo conveyor belt. This information not only enables full-process tracking of cargo handling tasks and goods, but also allows for real-time monitoring of equipment operation, timely detection and proper handling, thereby ensuring the smooth progress of cargo handling tasks and the efficient and stable operation of the port.

[0080] The acquired process information for the bulk cargo conveyor belt can specifically include real-time cargo handling volume, conveyor speed, whether the conveyor belt is misaligned, whether the conveyor belt is torn, the status and position of the goods on the conveyor belt, and motor operating temperature. The cargo handling volume can be determined based on the cumulative weight of the conveyor belt. The conveyor speed and motor operating temperature can be obtained from speed sensors, temperature sensors, etc. Information such as whether the conveyor belt is misaligned, whether the conveyor belt is torn, and the status and position of the goods on the conveyor belt can be collected and analyzed using high-precision industrial cameras through AI algorithms, image recognition, and data processing technologies. This system can replace manual vision in monitoring and judging the operating status of the conveyor belt. When abnormalities or dangerous events such as conveyor belt tears, misalignment, or accumulation occur, it can provide timely warnings, achieving unattended intelligent monitoring during the cargo handling operation, ensuring high efficiency, accuracy, and safety.

[0081] S3. Based on process information, determine whether the completion rate of the sorting operation task has reached the preset sorting early warning threshold; if it has, trigger an early warning and generate an early warning reminder message to be sent to the operators.

[0082] In some implementations, a preset cargo handling warning threshold can be obtained based on the cargo information in the cargo handling business entrustment information; the cargo handling quantity in the obtained process information is compared with the preset cargo handling warning threshold to determine whether the completion rate of the cargo handling task has reached the preset cargo handling warning threshold; if it has, a warning is triggered and a warning reminder message is generated and sent to the operators.

[0083] By configuring the warning message triggering rules, thresholds, and message push templates in the configuration center of the intelligent cargo handling system, warning values ​​for loading and unloading can be configured in the configuration center based on the cargo information in the cargo handling business entrustment information; that is, preset cargo handling warning thresholds. For example, setting 85% of the total physical weight of the entrusted cargo as the preset cargo handling warning threshold will automatically trigger a warning when the weight transmitted by the belt conveyor or the cumulative cargo handling volume reaches 85% of the physical weight of the entrusted cargo, generating a warning reminder message and sending it to the operators to remind them to pay attention to the start and stop of the equipment.

[0084] In addition, the warning message triggering rules set by the configuration center of the intelligent inventory management system can also be to set gradient warning thresholds and set corresponding message urgency coefficients for different values, and the message push rules triggered by messages with different urgency coefficients are different.

[0085] For example, preset warning thresholds can be set for 50% (Level 1 emergency coefficient), 60% (Level 2 emergency coefficient), 70% (Level 3 emergency coefficient), 80% (Level 4 emergency coefficient), 90% (Level 5 emergency coefficient), and 100% (Level 6 emergency coefficient) of the total weight of the entrusted goods, and matched with the corresponding emergency coefficients. Warning reminders for Level 1 to Level 4 emergency coefficients are pushed to the corresponding operators via SMS or system messages; warning reminders for Level 5 emergency coefficients are pushed to the corresponding operators via SMS or system messages and mobile device vibration; warning reminders for Level 6 emergency coefficients are pushed to the corresponding operators simultaneously via message push, mobile device vibration, and automatic dialing of warning phone numbers, as well as to all team members performing this cargo handling task via message push.

[0086] In some implementations, the planned cargo handling quantity for the cargo handling task can be obtained based on the cargo information in the cargo handling business entrustment information; when the cargo handling quantity in the obtained process information reaches the planned cargo handling quantity for the cargo handling task, a work stop instruction is issued to the bulk cargo conveyor belt, and an early warning reminder is generated and sent to the operators.

[0087] When the bulk cargo conveyor belt performs the sorting operation, if its sorting volume reaches the planned sorting volume of the sorting operation, for example, if the cumulative weight of the bulk cargo transported by the conveyor belt exceeds 99.5% of the weight of the goods entrusted in the consignment note, it can be determined that it has reached the planned sorting volume of the sorting operation. A message can be pushed to the operator to remind the operator to check the actual sorting volume and execute the stop command of the corresponding equipment.

[0088] At the same time, the message will also be sent to the bulk cargo conveyor. If the operator does not confirm the message and stop the equipment operation in time, the intelligent cargo handling system will send a stop command to the bulk cargo conveyor and stop its operation, so as to realize the automatic stop of the bulk cargo conveyor and avoid the damage to the equipment caused by idling and the possible abnormality of cargo handling data.

[0089] Because the operating parameters of belt conveyors, such as real-time speed, are affected by voltage, their values ​​will fluctuate within a certain range within a unit of time. Therefore, the intelligent cargo handling system cannot guarantee that the actual operating parameters of the equipment are completely consistent with the planned parameters within the expected cargo handling operation time. Therefore, setting early warning rules and automatic start and stop commands for the equipment can enable intelligent control of the equipment operation and realize intelligent and efficient operation of port bulk cargo production.

[0090] Furthermore, the early warning configuration rules in the configuration center of the intelligent cargo handling system can set the estimated processing time after the early warning reminder information corresponding to the operation stop command is sent to the operator, or issue a stop command to the bulk cargo conveyor and stop its operation when the actual time of the cargo handling operation performed by the bulk cargo conveyor exceeds 5% of the estimated time.

[0091] For example, when the conveyor belt reaches the predetermined weight or the belt scale weighs less than 1kg per unit time, the intelligent sorting system will issue a stop operation command to the conveyor belt to automatically stop its operation.

[0092] In some implementations, the intelligent cargo handling system can also calculate the estimated end time of the cargo handling task based on the operating efficiency of the bulk cargo conveyor in the process information, and push it to the corresponding operators so that the operators can plan ahead and reserve time to check the completion status of the cargo handling task.

[0093] In some implementations, the intelligent cargo handling system can also determine whether the status of the bulk cargo conveyor belt is abnormal when performing cargo handling tasks based on the operating status information of the bulk cargo conveyor belt in the acquired process information; if so, it will trigger an early warning and generate an early warning reminder message to be sent to the operators.

[0094] The configuration center of the intelligent cargo handling system is also equipped with rules for judging equipment operating status. When the bulk cargo conveyor belt performs cargo handling tasks, it can automatically collect the belt belt's operating status information, such as real-time status, operating speed, and location information. Based on this information, it determines whether the conveyor belt is operating abnormally. If an abnormality is detected, it can promptly generate an early warning message and send it to the operators, reminding them to check the operating status of the corresponding equipment and troubleshoot the problem. Through real-time monitoring of the bulk cargo conveyor belt's operation, not only can the entire process of cargo handling tasks and goods be tracked, but the operation of the conveyor belt can also be monitored in real time. This allows for the timely detection and proper handling of equipment malfunctions or abnormalities, ensuring the smooth progress of cargo handling tasks and the efficient and stable operation of the port.

[0095] For example, when a conveyor belt experiences issues such as material accumulation, jamming, leakage, or malfunction, the system cannot immediately relay messages to maintenance personnel, resulting in low efficiency in troubleshooting and repair. To address these shortcomings, the intelligent inventory management system integrates conveyor belts with a message push solution. This automatically links the conveyor belts to inventory management tasks, connecting their weighing data with assigned work information, real-time inventory management data, and the operations of other equipment. It provides immediate feedback on equipment operation and malfunction alerts to relevant processing units, ensuring data accuracy, workflow data continuity, and timely warning messages. Combined with the design of the backend service framework, this effectively supports existing business needs.

[0096] Therefore, when there are abnormal situations or dangerous events such as conveyor belt tearing, deviation, or cargo accumulation, timely warnings can be issued, realizing unattended intelligent monitoring during the execution of sorting operations, ensuring the efficiency, accuracy and safety of sorting operations.

[0097] In addition, the configuration center of the intelligent cargo handling system can set corresponding emergency coefficients based on the abnormal operating parameters of the bulk cargo conveyor belt, and match corresponding solutions based on the emergency coefficients.

[0098] For example, if a belt tear occurs during the operation of a conveyor belt and the tear reaches a preset threshold, it is marked as an emergency hazard. The corresponding solution is to issue an early warning and automatically stop the conveyor belt. Therefore, when an emergency hazard such as a conveyor belt tear occurs, it can not only promptly generate and send early warning information to operators, reminding them to check the operating status of the conveyor belt, but also automatically stop the conveyor belt, thereby ensuring safety during the handling process.

[0099] S4. Receive confirmation information from operators that they have completed the sorting task, and update the relevant information of the intelligent sorting system based on the confirmation information.

[0100] The intelligent cargo handling system needs to mark the cargo handling task as completed only after receiving confirmation from the operator on the mobile operation system. Intelligent cargo handling is achieved through the collaborative operation between the intelligent cargo handling system, the bulk cargo conveyor belt, and the mobile operation system, ensuring that cargo handling tasks are carried out efficiently, accurately, and in an orderly manner.

[0101] Once a sorting task is marked as completed, the intelligent sorting system updates warehouse inventory information, cargo storage status, and the operation records and status of the bulk cargo conveyor belt. For example, when an operator confirms the completion of the sorting task, the intelligent sorting system marks the task as finished and removes it from the system's pending tasks. It also adjusts the warehouse's cargo storage status and inventory information accordingly, and updates the conveyor belt's cumulative weight record for comparison with the initial weight before the next operation.

[0102] The intelligent cargo handling method of this application embodiment can achieve integrated management and control of the entire cargo handling process based on the cargo handling business entrustment information, realizing true "human-machine separation". Due to the automated judgment of business processes and the automatic triggering of the message push engine, business data and automated processes are closely integrated, achieving process automation, intelligent cargo handling, and business datafication. Scientific design and process control, along with automated processing of business processes, can effectively advance the progress of cargo handling operations and greatly improve cargo handling production efficiency. Equipment and data monitoring at each stage of cargo handling effectively ensures the timeliness of handling cargo handling equipment malfunctions and the safety of cargo handling production.

[0103] Corresponding to the aforementioned application function implementation method embodiments, this application also provides an intelligent cargo handling system, intelligent production system, electronic equipment, and corresponding embodiments based on port bulk cargo conveyor belts.

[0104] Figure 3 This is a schematic diagram of the structure of an intelligent cargo handling system based on a port bulk cargo conveyor belt, as shown in an embodiment of this application.

[0105] See Figure 3 The intelligent cargo handling system 300 based on port bulk cargo conveyor belts includes: a business processing unit 310, a monitoring unit 320, an early warning unit 330, and a data processing unit 340.

[0106] The business processing unit 310 is used to receive cargo handling business entrustment information, generate cargo handling operation tasks according to the cargo handling business entrustment information and cargo handling operation strategy, and issue them to the corresponding operation personnel; it is used to obtain the preset cargo handling early warning threshold of the cargo handling operation task according to the cargo information in the cargo handling business entrustment information; and obtain the planned cargo handling quantity of the cargo handling operation task according to the cargo information in the cargo handling business entrustment information.

[0107] The monitoring unit 320 is used to acquire process information of the bulk cargo conveyor belt performing the sorting operation task; to acquire the initial state of the bulk cargo conveyor belt before performing the sorting operation task; and to acquire the initial working weight value of the bulk cargo conveyor belt before performing the sorting operation task and the historical working weight value of the bulk cargo conveyor belt, wherein the historical working weight value of the bulk cargo conveyor belt is the working weight value when the bulk cargo conveyor belt ended the last sorting operation task.

[0108] The early warning unit 330 is used to determine whether the completion rate of the sorting operation task has reached a preset sorting early warning threshold based on process information. If it has, an early warning is triggered, and an early warning reminder message is generated and sent to the operators. It is also used to determine whether the initial state of the bulk cargo conveyor before executing the sorting operation task meets the preset sorting operation conditions of the bulk cargo conveyor. If it does, the sorting operation task is executed. Furthermore, it is used to determine whether the difference between the initial operation weight value and the historical task operation weight value is within a set weight range. If yes, the sorting operation task is executed; otherwise, an early warning reminder message is generated and sent to the operators. Finally, it compares the sorting quantity in the acquired process information with the preset sorting early warning threshold of the sorting operation task to determine whether the sorting operation task has reached the preset early warning threshold. If the completion rate of the task reaches the preset cargo handling early warning threshold, an early warning is triggered, and an early warning reminder message is generated and sent to the operators. When the cargo handling quantity in the acquired process information reaches the planned cargo handling quantity of the cargo handling task, a work stop instruction is issued to the bulk cargo conveyor belt, and an early warning reminder message is generated and sent to the operators. If the status of the bulk cargo conveyor belt performing the cargo handling task is abnormal, an early warning is triggered, and an early warning reminder message is generated and sent to the operators. Based on the bulk cargo conveyor belt operating status information in the acquired process information, if the status of the bulk cargo conveyor belt performing the cargo handling task is abnormal, an early warning is triggered, and an early warning reminder message is generated and sent to the operators.

[0109] The data processing unit 340 is used to receive confirmation information from operators that they have completed the sorting task, and to update the relevant information of the intelligent sorting system based on the confirmation information.

[0110] Figure 4 This is a schematic diagram of the structure of an intelligent production system based on a port bulk cargo conveyor belt, as shown in an embodiment of this application. Figure 5This is a schematic diagram illustrating an intelligent cargo handling operation process based on a port bulk cargo conveyor belt, as shown in an embodiment of this application. Combined with... Figure 4 and Figure 5 This provides a detailed explanation of the port bulk cargo production process.

[0111] The intelligent production system based on port bulk cargo conveyor belts in this application embodiment specifically includes an intelligent cargo handling system 300, a bulk cargo conveyor belt 400, and a mobile operation system 500.

[0112] The intelligent cargo handling system 300 can be a service platform installed on a PC, comprising a business processing unit 310, a monitoring unit 320, an early warning unit 330, and a data processing unit 340. Specifically, it can receive cargo handling business entrustment information, generate cargo handling tasks based on the entrustment information and cargo handling operation strategies, and distribute them to the corresponding operators; acquire process information of the cargo handling tasks performed by the bulk cargo conveyor belt; determine whether the completion rate of the cargo handling tasks has reached a preset early warning threshold based on the process information; if so, trigger an early warning and generate an early warning reminder message to the operators; receive confirmation information from the operators that they have completed the cargo handling tasks, and update the relevant information of the intelligent cargo handling system based on the confirmation information. The intelligent cargo handling system is mainly applicable to cargo handling administrators (which can be a person in the conventional sense or the system itself), and the operations performed include the formulation of intelligent cargo handling planning rules, intelligent shift scheduling of work plans, and other related review work during the operation process.

[0113] The bulk cargo conveyor belt 400 is used to perform tallying operations and collect process information on the tallying operations.

[0114] The mobile operation system 500 can be a service platform installed on a mobile device, including but not limited to mobile apps, WeChat mini-programs, WeChat official accounts, and specific mobile devices. It is used to receive cargo handling tasks and early warning reminders, as well as to send confirmation messages upon completion of cargo handling tasks. The mobile operation system 500 is primarily intended for frontline cargo handling personnel. Operations performed by these personnel include starting and stopping the bulk cargo conveyor belt 400, viewing pushed messages, confirming the start and end of cargo handling tasks, and monitoring cargo handling process parameters.

[0115] The intelligent production system based on port bulk cargo conveyor belts, as described in this application, connects the intelligent cargo handling platform with the bulk cargo conveyor belt working system (e.g., the conveyor belt working system), PLC control system, and mobile and PC terminals via a combined data stream. This allows for the aggregation and analysis of data from each stage, and also enables data matching and analysis with third-party and external systems. This achieves automated production processes, intelligent cargo handling, and data-driven business operations, significantly improving port bulk cargo production efficiency and reducing handling costs. Furthermore, this application can resolve actual production failures and can be extended to other cargo loading, unloading, and transportation scenarios, forming a cross-industry intelligent data collection, intelligent analysis, and intelligent early warning solution.

[0116] Specifically, in combination Figure 5 The flowchart of the sorting and handling operation task shown is explained in detail.

[0117] In the actual port / terminal bulk cargo handling process, the client / consignor registers the business request on the service platform of the intelligent tallying system and generates a tallying order. The tallying order includes information such as cargo information, consignor information, and estimated arrival time. After the vessel reports to port, the intelligent tallying system can generate a tallying business order based on the reporting information and the tallying order. The order is tracked throughout the entire process with the tallying order as the core dimension.

[0118] The Activity-based workflow breaks down the various stages of tallying operations into smaller steps. The intelligent tallying system combines the port entry time and cargo type from the port declaration information. For example, if vessel SA arrives at the port at 4 PM carrying bulk grey coal, the system acquires and analyzes various data, including terminal berth operation data, warehouse inventory data, and shift scheduling data. Based on the cargo type and berth availability, it determines the queuing status of vessel SA (if there is space, no queuing is required) and sets the estimated start time for tallying. It also designates the conveyor belt terminal for cargo release based on warehouse inventory, and assigns the task to either the day shift or night shift based on the shift schedule, matching the necessary equipment, generating a tallying task containing the above information, and pushing it to the corresponding shift personnel.

[0119] The intelligent cargo handling system connects to the belt scale via the MODBUS protocol, thereby establishing a stable connection with the belt conveyor equipment and obtaining the operating parameters of the belt conveyor equipment.

[0120] After the conveyor belt performs its cargo handling task, a cargo loading / unloading volume warning value is configured in the configuration center of the intelligent cargo handling system, for example, SA.WarWeight=95%. When the cumulative weight of the bulk cargo transported by the conveyor belt exceeds 95% of the weight of the goods entrusted in the consignment note, the estimated end time is calculated based on the transport efficiency of the conveyor belt per unit time during the cargo handling process, and a message is pushed to the corresponding cargo handler through the intelligent cargo handling system. If the cargo handler does not confirm the message within the time limit, the intelligent cargo handling system will automatically stop operating when the conveyor belt reaches the predetermined weight or the weight of the conveyor belt per unit time is less than 1kg.

[0121] When the belt conveyor completes its cargo handling task normally, the PLC control system stops the belt conveyor and records the operation time, weighing weight, and cumulative weighing weight at the end of the belt conveyor operation in the database for comparison in the next cargo handling operation.

[0122] The inventory management message table generated in the database can record conveyor belt inventory management data based on the local message table model table. Specifically, after receiving an inventory management task, formulating an inbound / outbound plan, and issuing the task, an inventory management slip identifier is generated to record intelligent analysis data of the inventory management process, enabling full-process tracking in subsequent inventory management workflows. Specifically, this inventory management message table can include relevant parameter information and relationships such as shift plans, berth plans, and inbound / outbound plans. This message table can be used for subsequent retrieval to clearly track the processing progress of inventory management tasks. For example, this inventory management message table can be shown in the table below.

[0123]

[0124] In addition, information such as warehouse, storage location, start time of sorting, and end time of sorting can all be used as searchable fields in this sorting message table.

[0125] The entire process of tallying operations includes the push of early warning reminders and the collection and processing of relevant early warning condition data. For example... Figure 6 As shown, Figure 6 This is a schematic diagram of the intelligent push process for sorting messages in the intelligent sorting operation process shown in the embodiments of this application.

[0126] The intelligent cargo handling system may include an intelligent cargo handling configuration center, which is used for setting early warning configurations and collecting and processing data. The configuration center stores trigger rules / conditions, early warning threshold information, and message push templates for setting early warning reminders during the conveyor belt cargo handling process.

[0127] Relevant early warning data can be collected through a combination of external devices and the device's own sensors. External devices include, but are not limited to, high-precision industrial cameras and webcams for collecting operational data, which is then analyzed using OCR and image analysis technologies. Image recognition and data processing technologies are used to collect and analyze data on abnormal situations occurring during the conveyor belt's operation. Image data acquisition during conveyor belt operation can be achieved using cameras, which are distributed as follows... Figure 7 The diagram shows a bottom view of the lower surface of the conveyor belt or a top view of the upper surface of the conveyor belt. This process can replace manual vision to intelligently collect abnormal conditions or dangerous events such as tearing, misalignment, and accumulation of the conveyor belt. The collected data is stored in the message center, and information and photos are pushed to relevant personnel through the push service port of the intelligent sorting system according to the priority derived from intelligent data analysis.

[0128] In addition, the message middleware can be processed through an asynchronous transaction compensation mechanism during this process. When a message on a relevant topic is received, it can be pushed to the relevant devices in a timely manner. For example, when there is an early warning reminder, it can be pushed to the mobile terminal of the inventory management personnel in a timely manner.

[0129] The intelligent inventory management system also includes an intelligent inventory management message center, whose message processing logic forwards messages to a custom rule engine for rule matching based on message type and business parameters. For example... Figure 8 As shown, Figure 8 This is a schematic diagram of the rule engine configuration shown in an embodiment of this application. Integrating a custom rule engine can solve the problem of configuring corresponding business processing rules for different message types, satisfying dynamic configuration and component-based management, and highly adapting to different processing flows and business logic. The custom rule engine consists of rule chains and component script configurations. Specifically, the rule chain configuration describes the business execution flow and logic, the component scripts are used to dynamically load components associated with the rule chain, and the business logic scripts of each component connect the business expression of the entire rule chain. The custom rule engine includes two parts: rule configuration and instantiation. The component script configuration should support mainstream Java languages ​​and be able to be dynamically loaded to implement specific business logic. The rule chain configuration orchestrates the components, specifying the execution order and rule logic of the components.

[0130] The intelligent inventory management system also includes a message queue, which enables steps such as pushing messages to recipients and obtaining message sending status to facilitate the entire intelligent inventory management process. Message push mainly combines the logical processing of the message middleware to transmit messages to the recipients, track message sending status, and perform secondary push processing for messages that fail to be sent (the message center can set push strategies and specify message handling mechanisms after failure).

[0131] In summary, the intelligent cargo handling system, which includes an intelligent cargo handling service module and an intelligent cargo handling message push module, solves the practical production problems of misaligned port bulk cargo production data, untimely business warnings, and untimely processing of equipment budgets through an intelligent information collection, intelligent data analysis, and intelligent early warning processing solution.

[0132] Specifically, the intelligent cargo handling system in this embodiment integrates the intelligent cargo handling service module and the intelligent cargo handling message push module into a single, compatible application. This allows for independent application operation and effective business decoupling, while also enabling message communication and interoperability. It facilitates data and message interaction and unified analysis, enabling intelligent monitoring of equipment at each stage of cargo handling, providing full-process monitoring and early warning of cargo handling data, ensuring timely handling of equipment malfunctions and the safety of cargo handling production, thereby improving production safety and efficiency. Furthermore, the port bulk cargo production system in this embodiment integrates all aspects of the cargo handling environment, eliminating redundant steps, effectively reducing cargo handling costs, and improving cargo handling efficiency.

[0133] Regarding the apparatus / system in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated further here.

[0134] Figure 9 This is a schematic diagram of the structure of an electronic device shown in an embodiment of this application.

[0135] See Figure 9 The electronic device 900 includes a memory 910 and a processor 920.

[0136] The processor 920 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0137] Memory 910 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. ROM may store static data or instructions required by the processor 920 or other modules of the computer. Permanent storage devices may be read-write storage devices. Permanent storage devices may be non-volatile storage devices that retain stored instructions and data even when the computer is powered off. In some embodiments, permanent storage devices use mass storage devices (e.g., magnetic or optical disks, flash memory) as permanent storage devices. In other embodiments, permanent storage devices may be removable storage devices (e.g., floppy disks, optical drives). System memory may be a read-write storage device or a volatile read-write storage device, such as dynamic random access memory. System memory may store some or all of the instructions and data required by the processor during operation. Furthermore, memory 910 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (e.g., DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 910 may include a removable storage device that is readable and / or writable, such as a laser disc (CD), a read-only digital multifunction optical disc (e.g., DVD-ROM, dual-layer DVD-ROM), a read-only Blu-ray disc, an ultra-high density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not contain carrier waves or transient electronic signals transmitted wirelessly or via wired connections.

[0138] The memory 910 stores executable code, which, when processed by the processor 920, can cause the processor 920 to execute part or all of the methods described above.

[0139] Furthermore, the method according to this application can also be implemented as a computer program or computer program product, which includes computer program code instructions for performing some or all of the steps in the method described above.

[0140] Alternatively, this application may be implemented as a computer-readable storage medium (or a non-transitory machine-readable storage medium or a machine-readable storage medium) storing executable code (or computer program or computer instruction code) thereon, which, when executed by a processor of an electronic device (or server, etc.), causes the processor to perform part or all of the steps of the methods described above according to this application.

[0141] The various embodiments of this application have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. An intelligent cargo handling method based on a port bulk cargo conveyor belt, characterized in that, include: Receive cargo handling service entrustment information, generate cargo handling operation tasks based on the cargo handling service entrustment information and cargo handling operation strategy, and issue them to the corresponding operation personnel; Obtain process information of the bulk cargo conveyor belt performing the sorting operation task; Based on the process information, it is determined whether the completion rate of the sorting task has reached the preset sorting warning threshold; If the condition is reached, an early warning will be triggered, and an early warning reminder message will be generated and sent to the workers. This includes: obtaining a preset cargo handling warning threshold for the cargo handling task based on the cargo information in the cargo handling business entrustment information; comparing the cargo handling quantity in the obtained process information with the preset cargo handling warning threshold for the cargo handling task; determining whether the completion rate of the cargo handling task has reached the preset cargo handling warning threshold; if so, triggering a warning and generating a warning reminder message to be sent to the operators; obtaining the planned cargo handling quantity for the cargo handling task based on the cargo information in the cargo handling business entrustment information; when the cargo handling quantity in the obtained process information reaches the planned cargo handling quantity for the cargo handling task, issuing a work stop instruction to the bulk cargo conveyor and generating a warning reminder message to be sent to the operators; and determining whether the status of the bulk cargo conveyor during the execution of the cargo handling task is abnormal based on the operating status information of the bulk cargo conveyor in the obtained process information; if so, triggering a warning and generating a warning reminder message to be sent to the operators. The system receives confirmation information from the operator that the sorting task has been completed, and updates the relevant information of the intelligent sorting system based on the confirmation information.

2. The method according to claim 1, characterized in that, Before obtaining the process information of the bulk cargo conveyor belt performing the sorting operation task, the method further includes: Obtain the initial state of the bulk cargo conveyor before it performs the sorting operation task, and determine whether it meets the preset sorting operation conditions of the bulk cargo conveyor; if it does, then perform the sorting operation task.

3. The method according to claim 2, characterized in that, The initial state of the bulk cargo conveyor before it performs the sorting operation is obtained, and it is determined whether it meets the preset sorting operation conditions of the bulk cargo conveyor. If the conditions are met, the cargo handling task will be executed, including: Obtain the initial working weight value of the bulk cargo conveyor before it performs the sorting operation and the historical working weight value of the bulk cargo conveyor; the historical working weight value of the bulk cargo conveyor is the working weight value when the bulk cargo conveyor ends the last sorting operation. Determine whether the difference between the initial work weight value and the historical task work weight value is within the set weight range; if so, execute the sorting operation task. Otherwise, an early warning message will be generated and sent to the operators.

4. An intelligent cargo handling system based on a port bulk cargo conveyor belt, characterized in that, include: The business processing unit is used to receive cargo handling business entrustment information, generate cargo handling operation tasks according to the cargo handling business entrustment information and cargo handling operation strategy, and issue them to the corresponding operation personnel; The monitoring unit is used to acquire process information of the bulk cargo conveyor belt performing the sorting operation task; The early warning unit is used to determine, based on the process information, whether the completion rate of the sorting operation task has reached a preset sorting early warning threshold. If the condition is reached, an early warning will be triggered, and an early warning reminder message will be generated and sent to the workers. This includes: obtaining a preset cargo handling warning threshold for the cargo handling task based on the cargo information in the cargo handling business entrustment information; comparing the cargo handling quantity in the obtained process information with the preset cargo handling warning threshold for the cargo handling task; determining whether the completion rate of the cargo handling task has reached the preset cargo handling warning threshold; if so, triggering a warning and generating a warning reminder message to be sent to the operators; obtaining the planned cargo handling quantity for the cargo handling task based on the cargo information in the cargo handling business entrustment information; when the cargo handling quantity in the obtained process information reaches the planned cargo handling quantity for the cargo handling task, issuing a work stop instruction to the bulk cargo conveyor and generating a warning reminder message to be sent to the operators; and determining whether the status of the bulk cargo conveyor during the execution of the cargo handling task is abnormal based on the operating status information of the bulk cargo conveyor in the obtained process information; if so, triggering a warning and generating a warning reminder message to be sent to the operators. The data processing unit is used to receive confirmation information from the operator that the sorting task has been completed, and to update the relevant information of the intelligent sorting system based on the confirmation information.

5. An intelligent production system based on a port bulk cargo conveyor belt, characterized in that, include: The intelligent cargo handling system is used to receive cargo handling business entrustment information, generate cargo handling operation tasks based on the cargo handling business entrustment information and cargo handling operation strategy, and distribute them to the corresponding operators; and obtain process information of the bulk cargo conveyor belt executing the cargo handling operation tasks. Based on the process information, it is determined whether the completion rate of the sorting task has reached the preset sorting warning threshold; If the condition is reached, an early warning will be triggered, and an early warning reminder message will be generated and sent to the workers. Receive confirmation information from the operator that the sorting task has been completed, and update the relevant information of the intelligent sorting system based on the confirmation information; This includes: obtaining a preset cargo handling warning threshold for the cargo handling task based on the cargo information in the cargo handling business entrustment information; comparing the cargo handling quantity in the obtained process information with the preset cargo handling warning threshold for the cargo handling task; determining whether the completion rate of the cargo handling task has reached the preset cargo handling warning threshold; if so, triggering a warning and generating a warning reminder message to be sent to the operators; obtaining the planned cargo handling quantity for the cargo handling task based on the cargo information in the cargo handling business entrustment information; when the cargo handling quantity in the obtained process information reaches the planned cargo handling quantity for the cargo handling task, issuing a work stop instruction to the bulk cargo conveyor and generating a warning reminder message to be sent to the operators; and determining whether the status of the bulk cargo conveyor during the execution of the cargo handling task is abnormal based on the operating status information of the bulk cargo conveyor in the obtained process information; if so, triggering a warning and generating a warning reminder message to be sent to the operators. A bulk cargo conveyor belt is used to perform the cargo handling operation task and collect process information of performing the cargo handling operation task. The mobile operation system is used to receive the sorting operation tasks and early warning reminders, as well as to send confirmation information for the completion of the sorting operation tasks.

6. An electronic device, characterized in that, include: processor; as well as A memory having executable code stored thereon, which, when executed by the processor, causes the processor to perform the method as described in any one of claims 1-3.

7. A computer-readable storage medium having executable code stored thereon, which, when executed by a processor of an electronic device, causes the processor to perform the method as described in any one of claims 1-3.

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