Integrated bulk cargo production system and method for inland river group

Abstract

The invention provides an integrated bulk cargo production method for an inland river group, and the method is based on a bulk cargo production system which comprises a bulk cargo production system platform, a query terminal, a client program, a wagon balance system, a license plate recognition system and a display screen. Comprising the following steps: S1, a customer declarates a ship through an external network; s2, generating an operation document plan; s3, operation data are collected and fed back in real time; s4, summarizing and counting result data; s5, business charging settlement is carried out; the problem that data transmission is not timely in a historical manual operation mode is effectively solved, transmission and collection are carried out in a mode of uploading instrument data through a network, the workload of manual input and data extraction statistics is reduced, the dynamic state of ships in a port and the real-time dynamic state of field loading and unloading operation are mastered in time, the field production operation efficiency is improved, and the working efficiency is improved. The operation process is simplified, and one-end input and multi-end sharing are achieved.

Description

Technical Field

[0001] The present invention relates to the field of inland river port group information technology, and in particular to an integrated bulk cargo production system and method for inland river group. Background Art

[0002] In the current on-site production management of port terminals, the results of on-site operation data collection, statistical query, and reporting are all presented through manual paper registration, Excel reports, etc., and different paper packaging is used for different customers and different businesses. Such results are difficult to provide effective information to customers, operators, and managers intuitively.

[0003] The bulk cargo production system is an operation and management system commonly used by ports and terminal companies. Due to its high professionalism, complex business management, and strong personalization, it is difficult for others, such as the company's customers, operators, and managers, to master it, except for terminal production operators. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the existing technology and to propose an integrated bulk cargo production system and method for an inland river group.

[0005] To achieve the above object, the present invention adopts the following technical solutions: An integrated bulk cargo production method for an inland river group, based on a bulk cargo production system; the bulk cargo production system includes a bulk cargo production system platform, a query terminal, a client program, etc.; The bulk cargo production system platform is a data system that provides customer information functions. External customer personnel collect and enter data into it. The bulk cargo production system platform includes front-end pages, back-end programs, and database servers. Customers access the bulk cargo production system platform through query terminals, which are smart devices with appropriate client programs installed. The query terminals communicate with the bulk cargo production system platform through wired or wireless communication methods; query terminals include smart phones, computers, etc. The appropriate client program can be a general communication program, such as WeChat, a browser, etc., which treats the bulk cargo production system platform as a public communication object (such as a WeChat public account) for communication, or it can be a client program specifically used to communicate with the bulk cargo production system platform. The specific communication implementation method does not constitute a limitation of the present invention.

[0006] The following steps are involved: S1: The customer declares the vessel on the external network; Customers declare ship port declaration data through the external network. Customers communicate with the bulk cargo production system platform through the client program to declare data, enabling external customers or ship owners to quickly make unified ship declarations through the network; all declared ship port declaration data carries the ship identification, customer identification, and cargo name identification.

[0007] The vessel identifier is used to identify the user's vessel data on the bulk cargo production system platform. It identifies the vessel being declared by the customer and is the vessel's identity, including the vessel name, ship number, or account number.

[0008] The customer ID is used to identify the customer who declared the vessel and the customer who loaded the cargo on the declared vessel. The bulk cargo production system platform can be a multi-user shared network platform. Query terminal users can verify their identity by logging into the platform using a pre-registered and approved username and password. Alternatively, the user's identity can be linked to the query terminal or communication account, ensuring that, after initial verification, the platform can confirm the user's identity upon subsequent communication with the bulk cargo production system platform within a certain period of time. In this case, the customer ID is represented by the terminal ID or login account.

[0009] Cargo identification is used to identify the cargo loaded on the ship, including the cargo name, such as coal or mineral powder.

[0010] S2: Generate work document plan; Responding to the operation of the dispatching personnel, the declared ship port declaration data is received, and the data is distributed, summarized and sorted according to the predefined field rules to form the template data, and stored in the ship port declaration record table of the database server. According to the records in the port declaration record table, the ship port declaration records are verified according to the set field rules. After the field rules are met, the data in the corrected port declaration record table is written into the operation document plan template to form the operation document plan.

[0011] The system automatically generates data instead of the previous manual data entry method. Through the data collection mode of "one-end input, multi-end sharing", on the one hand, it saves the personnel arrangement of related positions and saves labor costs. On the other hand, it ensures the integrity of the production process business plan, which is conducive to the orderly development of subsequent operations, business billing and other businesses. At the same time, it reduces the waiting time of the dispatching department on the business plan and improves the efficiency of receiving ship port reporting plans.

[0012] Specifically include: S21: predefined field rules; Field rules include limiting conditions such as ship, customer, cargo name, order processing date, loading and unloading, domestic and foreign trade, as well as field length, field type, etc.

[0013] S22: dispatching the operation of the operator and receiving the port declaration data of the declared ship; The front-end page includes a display window, a "one-click receive" button, etc. The display window displays the declared ship port declaration data submitted by the customer in the form of a list. Each declared ship port declaration data has a check box. The "one-click receive" button responds to the user's click operation to receive the selected declared ship port declaration data.

[0014] The dispatching personnel use the display window to identify the declared ship port reporting data submitted by the customer, determine whether the declared ship port reporting data meets the operation conditions, select the declared ship port reporting data that meets the operation conditions, and respond by clicking the "One-click Receive" button to receive the selected declared ship port reporting data.

[0015] Operating conditions are regulatory conditions such as requirements for port operations.

[0016] S23: extracting and cleaning the received ship data to form sample data; The received ship data is distributed and organized according to predefined field rules, and the ship ID, customer ID, and cargo ID are identified. The data is extracted and cleaned according to the ship ID, customer ID, and cargo name ID, and the template data of a single ship, a single customer, and a single cargo name is generated according to the uniqueness rule. A uniqueness rule is a constraint that ensures that the combination of the vessel, customer, and cargo field values ​​is unique across all records in a data table, preventing duplicates. It is a crucial component of data integrity, preventing data redundancy and logical conflicts. For example, the field combination for a single vessel, customer, or cargo name must be unique to prevent duplicate data across multiple vessels or customers.

[0017] S24: Template data storage, recorded according to the port declaration record form; Matching calculation distribution storage, by calling the storage service, using the asymmetric encryption algorithm to encrypt the data and transmit it to the database server for remote storage and redis cache. The data is stored in the ship port record table of the database server and recorded according to the port record table; S25: Correction of port declaration record sheet; Based on the limiting conditions of the field rules, the repeatability test and validity check are carried out using the repeated correction method. The data is judged based on the set field length, field type data length, type, etc. to obtain the port declaration record table that meets the field rules. S26: Generate work document plan; Call the operation document plan template, write the data in the corrected port declaration record table into the corresponding position of the operation document plan template, and form the operation document plan.

[0018] The operation document plan includes a ship port declaration plan, a business document plan and a scheduling operation plan. The operation document plan template includes three corresponding templates, which are stored in a template library for easy retrieval and use.

[0019] The ship port declaration plan includes the ship name, voyage number, contact number, etc.; The business document plan includes document number, domestic and foreign trade, customers, product name, packaging, planned operation quantity, completion progress, etc.

[0020] The scheduling operation plan includes the ship name, cargo name, operation status, loading and unloading, and unloading operation methods, etc.; the unloading operation method refers to whether the unloading is the ship arriving at the site, the ship arriving at the warehouse, or the ship arriving at the vehicle, etc.

[0021] The work document plan is an electronic transfer document that carries the customer's logo, vessel's logo, and cargo name. It contains the identification information and work requirements required for on-site operations. On-site personnel can directly execute operations and provide feedback based on the work document plan. Work requirements include unloading methods, loading and unloading, and work requirements. Work requirements are notes filled in by the customer and may include requirements for waterproofing, rain protection, and stacking.

[0022] The present invention ensures that a set of operation document plans that meet the production operation standards of scheduling port information registration and business operation documents are formed, solving the problems of repeated entry of port scheduling and business planner information, poor connection and data lag.

[0023] S3: Real-time collection and feedback of operation data; On-site operators identify the vessel's ID for current docking operations, search for and match the work plan based on the vessel's ID, determine whether the current docking operation corresponds to a generated work plan, select the corresponding work plan, collect operation data, enter it into the work plan, and update the operation status based on the collected operation data. Vehicle weighing data is also collected to calculate the progress of the work plan.

[0024] Specifically include: S31: On-site dispatch and command of on-site operations; The operation document plan is issued, and the production team leader receives the operation document plan, obtains information such as the ship's port declaration plan, cargo name, and unloading operation method, and conducts on-site scheduling and command of on-site operations by comprehensively considering various factors.

[0025] S32: Field operation to collect operation data; On-site operators identify the current berthing vessel's ID, search and match the operation document plan based on the vessel ID, determine whether the current berthing vessel corresponds to a generated operation document plan, select the corresponding operation document plan, view the scheduling operation plan, collect operation data, and enter the operation data into the bulk cargo production system platform and store it in the server database as a real-time operation data set.

[0026] Operational data includes dynamic data of ship operations, vehicle loading and unloading data, vehicle weighing data, etc. Dynamic data includes berthing time, start time, completion time, departure time, etc. Vehicle loading and unloading data includes inbound unloading, outbound loading, cargo name, loaded quantity, unloading operation method, etc.; the tally clerk is responsible for confirming the loading and unloading of the vehicle, including verifying the license plate number, ship name, customer, cargo name and other information, and collecting the vehicle's loading and unloading data.

[0027] Vehicle weighing data is collected by the scale system and transmitted to the bulk cargo production system platform through network connection.

[0028] S33: Update the job status of the scheduled job plan; The system acquires an operation dataset and updates the operation status based on the amount of dynamic data collected. This status includes berthing, commencement, completion, and departure. For example, if the current operation dataset contains only one dynamic data point, the operation status is updated to berthing. If it contains two dynamic data points, the status is updated to commencement, and so on. Automatically updating the operation status allows managers to quickly and accurately manage vessels operating on-site, eliminating the need for phone calls or intercoms to obtain timely data.

[0029] The bulk cargo production system platform has an input module for entering collected operation data.

[0030] S34: Vehicle weighing feedback on the progress of the planned operation; Based on the vehicle weighing data and the work plan quantity in the business document plan, the completion progress of the work plan quantity is calculated and fed back to the business document plan.

[0031] The system also includes a weighbridge system and a license plate recognition system, which are connected to the bulk cargo production system platform. The weighbridge system includes a weighing instrument and a shift plan generation module; the license plate recognition system includes a recognition camera, etc.

[0032] S341: Send the dispatching operation plan to the weighbridge system to generate a shift weighing plan; The weighbridge system receives the scheduling operation plan and forms a shift weighing plan, which includes the license plate number, shift number, etc. The scheduling operation plan is directly issued to the weighbridge system to achieve real-time connection between the plan and the operation, facilitate real-time feedback of vehicle weighing data to the production operation system, and receive and process different identification data.

[0033] S342: Identify the vehicle license plate number and determine whether it is an abnormal vehicle; When a vehicle is weighed, the recognition camera captures the license plate of the vehicle entering the operation area and collects the license plate capture data. The license plate recognition system identifies the current operation license plate number, obtains the current operation license plate number, and compares it with the license plate number in the shift weighing plan. According to whether the current operation license plate number is in the shift weighing plan, it determines whether the current operation license plate number is bound to the operation plan, and determines whether the vehicle weighing meets the normal weighing conditions; if there is any negative judgment, it is an abnormal vehicle. The so-called abnormal vehicle refers to a vehicle that does not meet the operation conditions, for example, a vehicle that does not enter the port through normal channels to operate (the current operation license plate number is not bound to the operation plan), has not completed the first weighing (does not meet the normal weighing conditions), that is, a vehicle that comes to load cargo for operation. By identifying abnormal vehicles, the system can more effectively ensure the accuracy of on-site operation data collection and the safety of cargo.

[0034] Normal weighing conditions are within the set weight range; S343: Obtain vehicle weighing data according to the weighing standard.

[0035] The weighing instrument of the truck scale connects the instrument data to the bulk cargo production system through the remote network serial port server. The bulk cargo production system parses and cleans the instrument data of the connected network serial port server, and pushes the accurate instrument data after cleaning to the vehicle weighing data set to form a weighing number that meets the vehicle weighing standards.

[0036] The bulk cargo production system identifies the IP address of the network serial port server, identifies the corresponding instrument data, and collects the instrument data in real time. It then parses and determines the format of the incoming network serial port data in a standardized manner, retaining data that meets the system's collection requirements and eliminating data with abnormal formats. A loop structure continuously receives data, collects, parses, and processes the incoming data in real time, eliminating duplicate, erroneous, or invalid data. The collected data is formatted in a standardized manner and stored in a vehicle weighing data center. The system also parses and processes the instrument data, eliminating invalid data and preventing incomplete data caused by network fluctuations or packet loss. This ensures the accuracy of the collected data, preventing calculations that affect progress and errors or invalid data caused by network fluctuations.

[0037] Instrument data is transmitted and collected via network upload, eliminating the need for serial connections to computers. This ensures that any computer can receive instrument data, resolving the traditional issue of requiring only a single terminal (computer) to transmit data. This reduces the workload of manual data entry and data extraction and statistics. Through real-time data collection and feedback, terminal managers can keep abreast of the dynamics of ships in port and the real-time status of on-site loading and unloading operations. This allows them to adjust operational plans based on these dynamics, improving on-site production efficiency.

[0038] The vehicle weighing dataset is stored in the database server.

[0039] Reduce the workload of manual data entry and data extraction and statistics. Through real-time data collection and feedback, terminal managers can promptly grasp the dynamics of ships in port and the real-time dynamics of on-site loading and unloading operations. They can adjust operation plans in a timely manner according to the on-site operation dynamics and improve on-site production efficiency.

[0040] S344: Match the work document plan and calculate the document plan quantity progress; Obtain the shift weighing plan based on the license plate number, and obtain the work document plan based on the corresponding scheduling work plan for the shift weighing plan; obtain the work plan quantity based on the business document plan; obtain the weighing counts in the vehicle weighing dataset, add them up to calculate the total weighing counts, calculate the document plan quantity progress based on the ratio of the total weighing counts to the work plan quantity, and update the document plan quantity progress to the completion progress of the business document plan.

[0041] By matching the operation document plan, the collected vehicle weights are directly associated with the operation business, providing the conditions for real-time and complete operation data feedback. By collecting and feeding back the weighing data from the ground scale and calculating the percentage with the document plan quantity, the completion progress data of the single ship and operation plan is formed. The feedback of operation progress data can provide more timely and effective data basis for on-site operators and managers, solving the problem that managers and operators cannot keep up with the progress of each operation. The method of real-time operation data collection does not constitute a limitation of the present invention.

[0042] S4: Summary statistics of outcome data; Utilize big data technology to analyze historical and real-time data, organize, analyze, and compile statistics by multiple dimensions, such as year, month, quarter, day, customer, and cargo name. Verify and check data for each dimension, extract and refine data that meets the conditions, compare real-time data with historical data, and conduct comprehensive analysis and statistics using various formats, such as year-on-year and month-on-month. The resulting data meets the needs of various operating units, operators, and managers. Charts, dashboards, or dynamic reports are generated to visualize the data in various forms, such as tables, large screens, and graphics. Dynamic analysis and compilation generate quick reports on port production statistics and related reporting reports, and conduct various real-time queries and statistics. Historical data refers to the previously formed work document plan, the field operation data collected during field operations, and the calculated document plan quantity progress data.

[0043] Real-time data includes the currently formed work document plan, field operation data collected during field operations, and calculated data on the progress of the document plan.

[0044] Historical data and real-time data are stored in the server database and the corresponding data time is stored. After the daily operation plan is completed, the real-time data is stored as historical data for subsequent analysis.

[0045] Summary statistics are the entire process of collecting, cleaning, organizing, storing, analyzing, and outputting data from each business node, including the generated work document plan, field operation data collected during field operations, and the calculated document plan quantity progress.

[0046] Through data aggregation and statistics, the business data feedback cycle has been improved from the previous 24-hour manual feedback to the current real-time feedback from the system, achieving zero delay in data feedback and effectively solving the problem of untimely data transmission under the historical manual operation mode.

[0047] S5: Business billing and settlement; The front-end page is provided with a settlement button, which is configured with a trigger event. In response to a click operation, a settlement instruction is sent, and the billing result is calculated according to the billing rules of the contract billing terms.

[0048] S51: pre-defines the billing rules for the contract billing terms; Create billing rules for the contract billing terms and add rule fields. The rule fields include billing elements, billing unit prices, etc. Billing elements include customer, cargo name, unloading operation mode, etc. The billing unit price is the price of each billing element. For example, if the unloading operation mode is ship-to-truck, the billing unit price is 2 yuan, and if the ship-to-site operation mode is ship-to-site, the billing unit price is 3 yuan.

[0049] S52: Responding to the settlement instruction, extracting the operation data to form a data record set to be billed; The billing personnel clicks the billing button, sends a billing instruction, responds to the billing instruction, calls the real-time job data set, obtains the job data, extracts the job data according to the billing elements, forms a data record set to be billed, and stores it as the name of the data record set to be billed according to the billing elements.

[0050] S53: Calculate the billing result according to the billing rules; Obtain the number of data in the data record set to be billed, obtain the billing element of the name of the data record set to be billed, obtain the billing unit price in the billing rule, use the billing unit price * the number of data in the data record set to be billed to calculate the billing result of a single data record set to be billed, add up the billing results of all data record sets to be billed, and obtain the final billing result.

[0051] This billing method is based on on-site operational data, ensuring its authenticity and reliability, adhering closely to commercial contract standards, and ensuring a reliable basis for the billing process. This approach replaces the previous manual process of counting the source and destination of goods, recording on-site operational data, manually searching contracts, matching billing unit prices, and manually calculating billing results. This makes the entire billing process more convenient, efficient, and accurate, reducing the risk of manual calculation errors.

[0052] Billing personnel can use one-click billing and settlement to realize the billing and settlement of workload and customer fees according to customer identification on the bulk cargo production system platform, and realize rapid settlement of billing statements and customers. This effectively solves the problems of long historical billing cycles and easy errors in manual billing, improves customer service quality, and shortens customer waiting cycles.

[0053] Inland River Group's integrated bulk cargo production system, including the bulk cargo production system platform, query terminal, client program, weighbridge system, and license plate recognition system; The bulk cargo production system platform includes front-end pages, back-end programs, and database servers; The front-end page includes a display window, a "one-click receive" button, and a settlement button; The backend program includes instruction receiving module, receiving module, plan generating module, input module, calculation module, summary statistics module and billing calculation module; The instruction receiving module is used to receive one-key receiving instructions and billing instructions, and the receiving module is used to receive the declared ship port data reported by the query terminal. The plan generation module is used to generate the operation document plan; the input module is used to input the collected operation data; the calculation module is used to calculate the completion progress; the summary statistics module is used to summarize the historical data and real-time data to generate data results; the billing calculation module is used to calculate the cost; The database server is used to store ship port declaration records, operation document plans, operation data, template libraries, etc. The template library is used to store operation document plan templates.

[0054] The query terminal communicates with the bulk cargo production system platform through wired or wireless communication. The query terminal includes a smart phone, a computer, etc. The client program is a communication program used to communicate with the bulk cargo production system platform; The weighbridge system, license plate recognition system, and bulk cargo production system platform are connected via network communication. The weighbridge system includes a weighing meter and a shift plan generation module; the license plate recognition system includes a recognition camera and a recognition module. The weighbridge weighing meter is used for on-site weighing; the shift plan generation module is used to generate shift plans; the recognition camera is used to capture license plate data of vehicles entering the work area; and the recognition module is used to process license plate capture data and identify the license plate.

[0055] A display screen is also included for displaying the data results of the summary statistics.

[0056] Compared with the existing technology, the beneficial effects of the present invention are as follows: (1) The present invention obtains data results through data aggregation and statistics, and the data results are displayed in the form of statistical tables, statistical graphs, large screens, etc., which intuitively provide effective information. Paper registration is no longer used. The business data feedback cycle is improved from the previous 24-hour manual feedback to the current system real-time feedback, achieving zero delay in data feedback, and effectively solving the problem of untimely data transmission in the historical manual operation mode; (2) The present invention transmits and collects instrument data by uploading it to the network, without connecting it to the computer serial port, ensuring that any computer can receive instrument data, solving the problem of traditional data transmission with only one terminal (computer). Reduce the workload of manual input and data extraction statistics. Through real-time data collection and feedback, terminal managers can timely grasp the dynamics of ships in the port and the real-time dynamics of on-site loading and unloading operations, adjust the operation plan in time according to the on-site operation dynamics, and improve on-site production operation efficiency. (3) The front-end interface of the present invention is simple, including a one-key receiving button and a billing button. It is generated by one-key operation. There is no need to manually enter data in each link, which reduces the complexity of the work, reduces the amount of data entered, simplifies the operation process, and enters at one end and shares with multiple ends. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a flow chart of the steps of the inland river group integrated bulk cargo production method according to Example 1 of the present invention. DETAILED DESCRIPTION

[0058] In order to provide a further understanding of the purpose, structure, features, and functions of the present invention, the present invention is described in detail below with reference to the embodiments. Example 1

[0059] An integrated bulk cargo production method for an inland river group, based on a bulk cargo production system; the bulk cargo production system includes a bulk cargo production system platform, a query terminal, a client program, etc.; The bulk cargo production system platform is a data system that provides customer information functions. External customer personnel collect and enter data into it. The bulk cargo production system platform includes front-end pages, back-end programs, and database servers. Customers access the bulk cargo production system platform through query terminals, which are smart devices with appropriate client programs installed. The query terminals communicate with the bulk cargo production system platform through wired or wireless communication methods; query terminals include smart phones, computers, etc. The appropriate client program can be a general communication program, such as WeChat, a browser, etc., which treats the bulk cargo production system platform as a public communication object (such as a WeChat public account) for communication, or it can be a client program specifically used to communicate with the bulk cargo production system platform. The specific communication implementation method does not constitute a limitation of the present invention.

[0060] The following steps are involved: S1: The customer declares the vessel on the external network; Customers declare ships through the external network. Customers communicate with the bulk cargo production system platform through the client program to declare data, enabling external customers or shipowners to quickly and uniformly declare ships through the network; all declared ship port declaration data carries the ship identification, customer identification, and cargo name identification.

[0061] The vessel identifier is used to identify the user's vessel data on the bulk cargo production system platform. It identifies the vessel being declared by the customer and is the vessel's identity, including the vessel name, ship number, or account number.

[0062] The customer ID is used to identify the customer who declared the vessel and the customer who loaded the cargo on the declared vessel. The bulk cargo production system platform can be a multi-user shared network platform. Query terminal users can verify their identity by logging into the platform using a pre-registered and approved username and password. Alternatively, the user's identity can be linked to the query terminal or communication account, ensuring that, after initial verification, the platform can confirm the user's identity upon subsequent communication with the bulk cargo production system platform within a certain period of time. In this case, the customer ID is represented by the terminal ID or login account.

[0063] Cargo identification is used to identify the cargo loaded on the ship, including the cargo name, such as coal or mineral powder.

[0064] S2: Generate work document plan; Responding to the operation of the dispatching personnel, the declared ship port declaration data is received, and the data is distributed, summarized and sorted according to the predefined field rules to form the template data, and stored in the ship port declaration record table of the database server. According to the records in the port declaration record table, the ship port declaration records are verified according to the set field rules. After the field rules are met, the data in the corrected port declaration record table is written into the operation document plan template to form the operation document plan.

[0065] The system automatically generates data instead of the previous manual data entry method. Through the data collection mode of "one-end input, multi-end sharing", on the one hand, it saves the personnel arrangement of related positions and saves labor costs. On the other hand, it ensures the integrity of the production process business plan, which is conducive to the orderly development of subsequent operations, business billing and other businesses. At the same time, it reduces the waiting time of the dispatching department on the business plan and improves the efficiency of receiving ship port reporting plans.

[0066] Specifically include: S21: predefined field rules; Field rules include limiting conditions such as ship, customer, cargo name, order processing date, loading and unloading, domestic and foreign trade, as well as field length, field type, etc.

[0067] S22: dispatching the operation of the operator and receiving the port declaration data of the declared ship; The front-end page includes a display window, a "one-click receive" button, etc. The display window displays the declared ship port declaration data submitted by the customer in the form of a list. Each declared ship port declaration data has a check box. The "one-click receive" button responds to the user's click operation to receive the selected declared ship port declaration data.

[0068] The dispatching personnel use the display window to identify the declared ship port reporting data submitted by the customer, determine whether the declared ship port reporting data meets the operation conditions, select the declared ship port reporting data that meets the operation conditions, and respond by clicking the "One-click Receive" button to receive the selected declared ship port reporting data.

[0069] Operating conditions are regulatory conditions such as requirements for port operations.

[0070] S23: extracting and cleaning the received ship data to form sample data; The received ship data is distributed and organized according to predefined field rules, and the ship ID, customer ID, and cargo ID are identified. The data is extracted and cleaned according to the ship ID, customer ID, and cargo name ID, and the template data of a single ship, a single customer, and a single cargo name is generated according to the uniqueness rule. A uniqueness rule is a constraint that ensures that the combination of the vessel, customer, and cargo field values ​​is unique across all records in a data table, preventing duplicates. It is a crucial component of data integrity, preventing data redundancy and logical conflicts. For example, the field combination for a single vessel, customer, or cargo name must be unique to prevent duplicate data across multiple vessels or customers.

[0071] S24: Template data storage, recorded according to the port declaration record form; Matching calculation distribution storage, by calling the storage service, using the asymmetric encryption algorithm to encrypt the data and transmit it to the database server for remote storage and redis cache. The data is stored in the ship port record table of the database server and recorded according to the port record table; S25: Correction of port declaration record sheet; Based on the limiting conditions of the field rules, the repeatability test and validity check are carried out using the repeated correction method. The data is judged based on the set field length, field type data length, type, etc. to obtain the port declaration record table that meets the field rules. S26: Generate work document plan; Call the operation document plan template, write the data in the corrected port declaration record table into the corresponding position of the operation document plan template, and form the operation document plan.

[0072] The operation document plan includes a ship port declaration plan, a business document plan and a scheduling operation plan. The operation document plan template includes three corresponding templates, which are stored in a template library for easy retrieval and use.

[0073] The ship port declaration plan includes the ship name, voyage number, contact number, etc.; The business document plan includes document number, domestic and foreign trade, customers, product name, packaging, planned operation quantity, completion progress, etc.

[0074] The scheduling operation plan includes the ship name, cargo name, operation status, loading and unloading, and unloading operation methods, etc.; the unloading operation method refers to whether the unloading is the ship arriving at the site, the ship arriving at the warehouse, or the ship arriving at the vehicle, etc.

[0075] The work document plan is an electronic transfer document that carries the customer's logo, vessel's logo, and cargo name. It contains the identification information and work requirements required for on-site operations. On-site personnel can directly execute operations and provide feedback based on the work document plan. Work requirements include unloading methods, loading and unloading, and work requirements. Work requirements are notes filled in by the customer and may include requirements for waterproofing, rain protection, and stacking.

[0076] The present invention ensures that a set of operation document plans that meet the production operation standards of scheduling port information registration and business operation documents are formed, solving the problems of repeated entry of port scheduling and business planner information, poor connection and data lag.

[0077] S3: Real-time collection and feedback of operation data; On-site operators identify the vessel's ID for current docking operations, search for and match the work plan based on the vessel's ID, determine whether the current docking operation corresponds to a generated work plan, select the corresponding work plan, collect operation data, enter it into the work plan, and update the operation status based on the collected operation data. Vehicle weighing data is also collected to calculate the progress of the work plan.

[0078] Specifically include: S31: On-site dispatch and command of on-site operations; The operation document plan is issued, and the production team leader receives the operation document plan, obtains information such as the ship port plan, cargo name and unloading operation method, and conducts on-site scheduling and command of on-site operations by comprehensively considering various factors.

[0079] S32: Field operation to collect operation data; On-site operators identify the current berthing vessel's ID, search and match the operation document plan based on the vessel ID, determine whether the current berthing vessel corresponds to a generated operation document plan, select the corresponding operation document plan, view the scheduling operation plan, collect operation data, and enter the operation data into the bulk cargo production system platform and store it in the server database as a real-time operation data set.

[0080] Operational data includes dynamic data of ship operations, vehicle loading and unloading data, vehicle weighing data, etc. Dynamic data includes berthing time, start time, completion time, departure time, etc. Vehicle loading and unloading data includes inbound unloading, outbound loading, cargo name, loaded quantity, unloading operation method, etc.; the tally clerk is responsible for confirming the loading and unloading of the vehicle, including verifying the license plate number, ship name, customer, cargo name and other information, and collecting the vehicle's loading and unloading data.

[0081] The vehicle weighing data is collected by the scale system and transmitted to the bulk cargo production system platform through network connection.

[0082] S33: Update the job status of the scheduled job plan; The system acquires an operation dataset and updates the operation status based on the amount of dynamic data collected. This status includes berthing, commencement, completion, and departure. For example, if the current operation dataset contains only one dynamic data point, the operation status is updated to berthing. If it contains two dynamic data points, the status is updated to commencement, and so on. Automatically updating the operation status allows managers to quickly and accurately manage vessels operating on-site, eliminating the need for phone calls or intercoms to obtain timely data.

[0083] The bulk cargo production system platform has an input module for entering collected operation data.

[0084] S34: Vehicle weighing feedback on the progress of the planned operation; The system includes a weighbridge system and a license plate recognition system, which are connected to the bulk cargo production system platform. The weighbridge system includes a weighing instrument and a shift plan generation module; the license plate recognition system includes a recognition camera, etc.

[0085] S341: Send the dispatching operation plan to the weighbridge system to generate a shift weighing plan; The weighbridge system receives the scheduling operation plan and forms a shift weighing plan, which includes the license plate number, shift number, etc. The scheduling operation plan is directly issued to the weighbridge system to achieve real-time connection between the plan and the operation, facilitate real-time feedback of vehicle weighing data to the production operation system, and receive and process different identification data.

[0086] S342: Identify the vehicle license plate number and determine whether it is an abnormal vehicle; When a vehicle is weighed, the recognition camera captures the license plate of the vehicle entering the operation area and collects the license plate capture data. The license plate recognition system identifies the current operation license plate number, obtains the current operation license plate number, and compares it with the license plate number in the shift weighing plan. According to whether the current operation license plate number is in the shift weighing plan, it determines whether the current operation license plate number is bound to the operation plan, and determines whether the vehicle weighing meets the normal weighing conditions; if there is any negative judgment, it is an abnormal vehicle. The so-called abnormal vehicle refers to a vehicle that does not meet the operation conditions, for example, a vehicle that does not enter the port through normal channels to operate (the current operation license plate number is not bound to the operation plan), has not completed the first weighing (does not meet the normal weighing conditions), that is, a vehicle that comes to load cargo for operation. By identifying abnormal vehicles, the system can more effectively ensure the accuracy of on-site operation data collection and the safety of cargo.

[0087] Normal weighing conditions are within the set weight range; S343: Obtain vehicle weighing data according to the weighing standard.

[0088] The weighing instrument of the truck scale connects the instrument data to the bulk cargo production system through the remote network serial port server. The bulk cargo production system parses and cleans the instrument data of the connected network serial port server, and pushes the accurate instrument data after cleaning to the vehicle weighing data set to form a weighing number that meets the vehicle weighing standards.

[0089] The bulk cargo production system identifies the IP address of the network serial port server, identifies the corresponding instrument data, and collects the instrument data in real time. It then parses and determines the format of the incoming network serial port data in a standardized manner, retaining data that meets the system's collection requirements and eliminating data with abnormal formats. A loop structure continuously receives data, collects, parses, and processes the incoming data in real time, eliminating duplicate, erroneous, or invalid data. The collected data is formatted in a standardized manner and stored in a vehicle weighing data center. The system also parses and processes the instrument data, eliminating invalid data and preventing incomplete data caused by network fluctuations or packet loss. This ensures the accuracy of the collected data, preventing calculations that affect progress and errors or invalid data caused by network fluctuations.

[0090] Instrument data is transmitted and collected via network upload, eliminating the need for serial connections to computers. This ensures that any computer can receive instrument data, resolving the traditional issue of requiring only a single terminal (computer) to transmit data. This reduces the workload of manual data entry and data extraction and statistics. Through real-time data collection and feedback, terminal managers can keep abreast of the dynamics of ships in port and the real-time status of on-site loading and unloading operations. This allows them to adjust operational plans based on these dynamics, improving on-site production efficiency.

[0091] The vehicle weighing dataset is stored in the database server.

[0092] Reduce the workload of manual data entry and data extraction and statistics. Through real-time data collection and feedback, terminal managers can promptly grasp the dynamics of ships in port and the real-time dynamics of on-site loading and unloading operations. They can adjust operation plans in a timely manner according to the on-site operation dynamics and improve on-site production efficiency.

[0093] S344: Match the work document plan and calculate the document plan quantity progress; Obtain the shift weighing plan based on the license plate number, and obtain the work document plan based on the corresponding scheduling work plan for the shift weighing plan; obtain the work plan quantity based on the business document plan; obtain the weighing counts in the vehicle weighing dataset, add them up to calculate the total weighing counts, calculate the document plan quantity progress based on the ratio of the total weighing counts to the work plan quantity, and update the document plan quantity progress to the completion progress of the business document plan.

[0094] By matching the operation document plan, the collected vehicle weights are directly associated with the operation business, providing the conditions for real-time and complete operation data feedback. By collecting and feeding back the weighing data from the ground scale and calculating the percentage with the document plan quantity, the completion progress data of the single ship and operation plan is formed. The feedback of operation progress data can provide more timely and effective data basis for on-site operators and managers, solving the problem that managers and operators cannot keep up with the progress of each operation. The method of real-time operation data collection does not constitute a limitation of the present invention.

[0095] S4: Summary statistics of outcome data; Utilize big data technology to analyze historical and real-time data, organize, analyze, and compile statistics by multiple dimensions, such as year, month, quarter, day, customer, and cargo name. Verify and check data for each dimension, extract and refine data that meets the conditions, compare real-time data with historical data, and conduct comprehensive analysis and statistics using various formats, such as year-on-year and month-on-month. The resulting data meets the needs of various operating units, operators, and managers. Charts, dashboards, or dynamic reports are generated to visualize the data in various forms, such as tables, large screens, and graphics. Dynamic analysis and compilation generate quick reports on port production statistics and related reporting reports, and conduct various real-time queries and statistics. Historical data refers to the previously formed work document plan, the field operation data collected during field operations, and the calculated document plan quantity progress data.

[0096] Real-time data includes the currently formed work document plan, field operation data collected during field operations, and calculated data on the progress of the document plan.

[0097] Historical data and real-time data are stored in the server database and the corresponding data time is stored. After the daily operation plan is completed, the real-time data is stored as historical data for subsequent analysis.

[0098] Summary statistics are the entire process of collecting, cleaning, organizing, storing, analyzing, and outputting data from each business node, including the generated work document plan, field operation data collected during field operations, and the calculated document plan quantity progress.

[0099] Through data aggregation and statistics, the business data feedback cycle has been improved from the previous 24-hour manual feedback to the current real-time feedback from the system, achieving zero delay in data feedback and effectively solving the problem of untimely data transmission under the historical manual operation mode.

[0100] S5: Business billing and settlement; The front-end page is provided with a settlement button, which is configured with a trigger event. In response to a click operation, a settlement instruction is sent, and the billing result is calculated according to the billing rules of the contract billing terms.

[0101] S51: pre-defines the billing rules for the contract billing terms; Create billing rules for the contract billing terms and add rule fields. The rule fields include billing elements, billing unit prices, etc. Billing elements include customer, cargo name, unloading operation mode, etc. The billing unit price is the price of each billing element. For example, if the unloading operation mode is ship-to-truck, the billing unit price is 2 yuan, and if the ship-to-site operation mode is ship-to-site, the billing unit price is 3 yuan.

[0102] S52: Responding to the settlement instruction, extracting the operation data to form a data record set to be billed; The billing personnel clicks the billing button, sends a billing instruction, responds to the billing instruction, calls the real-time job data set, obtains the job data, extracts the job data according to the billing elements, forms a data record set to be billed, and stores it as the name of the data record set to be billed according to the billing elements.

[0103] S53: Calculate the billing result according to the billing rules; Obtain the number of data in the data record set to be billed, obtain the billing element of the name of the data record set to be billed, obtain the billing unit price in the billing rule, use the billing unit price * the number of data in the data record set to be billed to calculate the billing result of a single data record set to be billed, add up the billing results of all data record sets to be billed, and obtain the final billing result.

[0104] This billing method is based on on-site operational data, ensuring its authenticity and reliability, adhering closely to commercial contract standards, and ensuring a reliable basis for the billing process. This approach replaces the previous manual process of counting the source and destination of goods, recording on-site operational data, manually searching contracts, matching billing unit prices, and manually calculating billing results. This makes the entire billing process more convenient, efficient, and accurate, reducing the risk of manual calculation errors.

[0105] Billing personnel can use one-click billing and settlement to realize the billing and settlement of workload and customer fees according to customer identification on the bulk cargo production system platform, and realize rapid settlement of billing statements and customers. This effectively solves the problems of long historical billing cycles and easy errors in manual billing, improves customer service quality, and shortens customer waiting cycles. Example 2

[0106] Inland River Group's integrated bulk cargo production system, including the bulk cargo production system platform, query terminal, client program, weighbridge system, and license plate recognition system; The bulk cargo production system platform includes front-end pages, back-end programs, and database servers; The front-end page includes a display window, a "one-click receive" button, and a settlement button; The backend program includes instruction receiving module, receiving module, plan generating module, input module, calculation module, summary statistics module and billing calculation module; The instruction receiving module is used to receive one-key receiving instructions and billing instructions, and the receiving module is used to receive the declared ship port data reported by the query terminal. The plan generation module is used to generate the operation document plan; the input module is used to input the collected operation data; the calculation module is used to calculate the completion progress; the summary statistics module is used to summarize the historical data and real-time data to generate data results; the billing calculation module is used to calculate the cost; The database server is used to store ship port declaration records, operation document plans, operation data, template libraries, etc. The template library is used to store operation document plan templates.

[0107] The query terminal communicates with the bulk cargo production system platform through wired or wireless communication. The query terminal includes a smart phone, a computer, etc. The client program is a communication program used to communicate with the bulk cargo production system platform; The weighing scale system, license plate recognition system and bulk cargo production system platform are connected through network communication.

[0108] A display screen is also included for displaying the data results of the summary statistics.

[0109] The system of the present invention realizes online collection, push and query of operation data by interconnecting operation units and participating units such as customers, groups, terminal companies, operation sites, billing, and finance. It uses the bulk cargo production system to query and calculate the real-time operation data, billing bills, and customer declaration data of terminal site operations, summarizes and statistics the data of each business node to obtain data results, and interprets the data results in the form of statistical tables, statistical graphs, large-screen displays, etc., which can convert professional and difficult-to-understand business information into natural and easy-to-understand descriptions, so that professionals who are not operating on the port site can no longer be limited by their own professional and technical levels and can obtain the port operation-related information of interest in a timely and intuitive manner.

[0110] The present invention has been described with reference to the above embodiments. However, the above embodiments are merely exemplary embodiments of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the present invention. On the contrary, modifications and improvements that do not depart from the spirit and scope of the present invention are intended to be protected by the present invention.

Claims

1. An integrated bulk cargo production method for an inland river group, characterized by: Based on the bulk cargo production system, the following steps are included: S1: The customer declares the vessel on the external network; Customers declare ship port declaration data through the external network; all declared ship port declaration data carries the ship ID, customer ID, and cargo name ID; S2: Generate work document plan; In response to the operation of the dispatching operator, the port declaration data of the declared ship is received, and the data is distributed, summarized and sorted according to the predefined field rules to form the template data, and then stored in the ship declaration record table of the database server. According to the records in the port declaration record table, the ship declaration record is verified according to the set field rules. After the field rules are met, the corrected data in the port declaration record table is written into the operation document plan template to form the operation document plan; S3: Real-time collection and feedback of operation data; On-site operators identify the current vessel ID for docking operations, search for and match the operation document plan based on the vessel ID, determine whether the current vessel docking operations corresponds to a generated operation document plan, select the corresponding operation document plan, collect operation data, and enter it into the operation document plan. Based on the collected operation data, the operation status is updated, vehicle weighing data is collected, and the progress of the operation plan is calculated. S4: Summary statistics of outcome data; S5: Business billing and settlement; In response to the click operation, a settlement instruction is sent, and the billing result is calculated according to the billing rules of the contract billing terms.

2. The inland river group integrated bulk cargo production method according to claim 1, characterized in that: Step S2 includes: S21: predefined field rules; Field rules include restrictions on vessel, customer, cargo name, order date, loading and unloading, domestic and foreign trade, as well as field length and field type. S22: dispatching the operation of the operator and receiving the port declaration data of the declared ship; The dispatching staff uses the display window to identify the ship port declaration data submitted by the customer, determine whether the ship port declaration data meets the operation conditions, select the ship port declaration data that meets the operation conditions, and click the "One-click Receive" button to receive the selected ship port declaration data; S23: extracting and cleaning the received ship data to form sample data; The received ship data is distributed and organized according to predefined field rules, and the ship ID, customer ID, and cargo ID are identified. The data is extracted and cleaned according to the ship ID, customer ID, and cargo name ID, and the template data of a single ship, a single customer, and a single cargo name is generated according to the uniqueness rule. The uniqueness rule is a constraint rule used to ensure that the value of the combination of ship, customer, and cargo name fields is unique in all records in the data table; S24: Template data storage, recorded according to the port declaration record form; Matching calculation distribution storage, by calling the storage service, using the asymmetric encryption algorithm to encrypt the data and transmit it to the database server for remote storage and redis cache. The data is stored in the ship port record table of the database server and recorded according to the port record table; S25: Correction of port declaration record sheet; Based on the limiting conditions of the field rules, the repeatability test and validity check are carried out using the repeated correction method. The data is judged based on the set field length, field type data length, type, etc. to obtain the port declaration record table that meets the field rules. S26: Generate work document plan; Call the work document plan template, write the data in the corrected port declaration record table into the corresponding position of the work document plan template, and form the work document plan.

3. The inland river group integrated bulk cargo production method according to claim 2, characterized in that: The operation document plan includes a ship port declaration plan, a business document plan, and a scheduling operation plan. The operation document plan template includes three corresponding templates; The ship port declaration plan includes the ship name, voyage number, and contact number; Business document plan includes document number, domestic and foreign trade, customer, commodity name, packaging, planned operation quantity, and completion progress; The scheduling operation plan includes the ship name, cargo name, operation status, loading and unloading, and unloading operation methods; the unloading operation method refers to whether the unloading is the ship arriving at the site, the ship arriving at the warehouse, or the ship arriving at the vehicle.

4. The inland river group integrated bulk cargo production method according to claim 3, characterized in that: Step S3 includes: S31: On-site dispatch and command of on-site operations; Receive issued operation document plans, obtain ship port declaration plans, cargo names and unloading operation methods, conduct on-site dispatch and direct on-site operations; S32: Field operation to collect operation data; On-site operators identify the current vessel ID for docking operations, search for matching operation document plans based on the vessel ID, determine whether the current vessel docking operations corresponds to a generated operation document plan, select the corresponding operation document plan, view the scheduling operation plan, collect operation data, and enter the operation data into the bulk cargo production system platform and store it in the server database as a real-time operation data set; Operational data includes dynamic data of ship operations, vehicle loading and unloading data, and vehicle weighing data; Dynamic data includes berthing time, start time, completion time, and departure time; Vehicle loading and unloading data includes inbound unloading, outbound loading, cargo name, loaded quantity, and unloading operation method; S33: Update the job status of the scheduled job plan; Obtain the operation data set and update the operation status according to the amount of dynamic data collected. The operation status includes berthing, start, completion, and departure; S34: Vehicle weighing feedback on the progress of the planned operation; Based on the vehicle weighing data and the work plan quantity in the business document plan, the completion progress of the work plan quantity is calculated and fed back to the business document plan.

5. The inland river group integrated bulk cargo production method according to claim 4, characterized in that: S341: Send the dispatching operation plan to the weighbridge system to generate a shift weighing plan; The weighbridge system receives the scheduling operation plan and forms a shift weighing plan, wherein the shift operation plan includes the license plate number and the shift number; S342: Identify the vehicle license plate number and determine whether it is an abnormal vehicle; When a vehicle is weighed, a recognition camera captures the license plate of the vehicle entering the work area and collects the license plate capture data. The license plate recognition system identifies the current operating license plate number, obtains the current operating license plate number, and compares it with the license plate number in the shift weighing plan. Based on whether the current operating license plate number is in the shift weighing plan, it determines whether the current operating license plate number is bound to the work plan and whether the vehicle weighing meets the normal weighing conditions. If there is any negative judgment, it is an abnormal vehicle; S343: Obtain vehicle weighing standard weighing data The weighing instrument of the scale connects the instrument data to the bulk cargo production system through the remote network serial port server. The bulk cargo production system parses and cleans the instrument data from the connected network serial port server and pushes the accurate instrument data after cleaning to the vehicle weighing data set to form the weighing data that meets the vehicle weighing standards. The bulk cargo production system identifies the IP address of the network serial port server, identifies the corresponding instrument data, and collects the instrument data in real time. It then parses and determines the format of the network serial port data in a standardized manner, retaining data that meets the system's collection requirements and eliminating data in abnormal formats. A loop structure continuously receives data, collects, analyzes, and processes the data in real time, eliminating duplicate, erroneous, or invalid data. The collected data is formatted in a standardized manner and stored in a vehicle weighing data set. The vehicle weighing data set is then stored in a database server. S344: Match the work document plan and calculate the document plan quantity progress; Obtain the shift weighing plan based on the license plate number, and obtain the operation document plan based on the dispatching operation plan corresponding to the shift weighing plan; Obtain the planned operation quantity according to the business document plan; Obtain the vehicle weighing data from the dataset, add up the total weighings, calculate the document plan quantity progress based on the ratio of the total weighings to the planned operation quantity, and update the document plan quantity progress to the completion progress of the business document plan.

6. The inland river group integrated bulk cargo production method according to claim 1, characterized in that: Step S4 uses big data technology to analyze historical data and real-time data, sorts, analyzes, and compiles statistics on the data by multiple dimensions, such as year, month, quarter, day, customer, and product name. It verifies and checks the data for each dimension, extracts and refines the data that meets the conditions, compares the real-time data with the historical data, and uses year-on-year and quarter-on-quarter comprehensive analysis and statistics to ultimately form data results that meet the needs. It generates charts, dashboards, or dynamic reports to visualize the data in the form of tables, large screens, and graphics. Historical data refers to previously generated work document plans, field operation data collected during field operations, and calculated document plan quantity progress data; Real-time data includes the currently formed work document plan, field operation data collected during field operations, and calculated data on the progress of the document plan; Historical data and real-time data are stored in the server database and the corresponding data time is stored.

7. The inland river group integrated bulk cargo production method according to claim 1, characterized in that: Step S5 includes: S51: pre-defines the billing rules for the contract billing terms; Create billing rules for the contract billing terms and add rule fields. The rule fields include billing elements and billing unit price. Billing elements include customer, cargo name, and unloading operation method. The billing unit price is the price of each billing element. S52: Responding to the settlement instruction, extracting the operation data to form a data record set to be billed; Click the billing button to send a billing instruction. In response to the billing instruction, the real-time job data set is called to obtain the job data. The job data is extracted according to the billing elements to form a data record set to be billed. The data record set to be billed is stored according to the billing elements as the name of the data record set to be billed. S53: Calculate the billing result according to the billing rules; Obtain the number of data in the data record set to be billed, obtain the billing element of the name of the data record set to be billed, obtain the billing unit price in the billing rule, use the billing unit price * the number of data in the data record set to be billed to calculate the billing result of a single data record set to be billed, add up the billing results of all data record sets to be billed, and obtain the final billing result.

8. The inland river group integrated bulk cargo production system according to claim 1, characterized in that: It includes the bulk cargo production system platform, query terminal, client program, weighbridge system, license plate recognition system and display screen; The bulk cargo production system platform includes front-end pages, back-end programs, and database servers; The front-end page includes a display window, a "one-click receive" button, and a checkout button; The backend program includes instruction receiving module, receiving module, plan generating module, input module, calculation module, summary statistics module and billing calculation module; The instruction receiving module is used to receive one-key receiving instructions and billing instructions; The receiving module is used to receive the port declaration data of the declared ship reported by the query terminal; The plan generation module is used to generate a work document plan; The input module is used to input the collected operation data; The calculation module is used to calculate the completion progress, and the summary statistics module is used to summarize historical data and real-time data to generate data results; The billing calculation module is used to calculate the fees; The database server is used to store ship port declaration records, operation document plans, operation data, and template libraries; the template library is used to store operation document plan templates; The query terminal communicates with the bulk cargo production system platform through a wired or wireless communication method; the client program is a communication program used to communicate with the bulk cargo production system platform; The weighbridge system, license plate recognition system and bulk cargo production system platform are connected via network communication; Display screen, used to display summary statistical data results.

9. The inland river group integrated bulk cargo production system according to claim 8, characterized in that: The query terminal includes a smart phone and a computer; the client program includes a general communication program or a client program dedicated to communicating with the bulk cargo production system platform, and the general communication program includes WeChat and a browser.

10. The inland river group integrated bulk cargo production method according to claim 8, characterized in that: The scale system includes a scale weighing instrument and a shift plan generation module; the license plate recognition system includes a recognition camera and a recognition module; the scale weighing instrument is used for on-site weighing; the shift plan generation module is used to generate shift plans, and the recognition camera is used to capture license plate data of vehicles entering the work area; The recognition module is used to process license plate capture data to identify license plates.

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