A logistics network-based intelligent concentrated sulfuric acid sales and storage and transportation management system and method

Abstract

The application discloses a kind of based on intelligent concentrated sulfuric acid sales and storage and transportation management system and method of logistics network, and relates to acid loading operation control technical field.The system includes acid loading reservation module, vehicle identification module, acid loading execution module and sales management module:acid loading reservation module is used to receive acid loading reservation information and carries out pre-checking, generates acid loading task after pre-checking passes through;Vehicle identification module includes license plate recognition device, identity card recognition device, laser recognition device and positioning recognition device;Acid loading execution module is used to complete crane pipe automatic positioning, quantitative acid loading and anti-overflow protection operation after receiving start signal, and automatically collect and calculate vehicle tare weight, gross weight and net weight information, record weighing time stamp and synchronize to associated data;Sales management module is used to realize the whole process closed-loop management of sulfuric acid sales from order initiation, reservation audit, acid loading execution, data statistics to account generation.

Description

Technical Field

[0001] This invention relates to the field of acid loading operation control technology, and in particular to an intelligent concentrated sulfuric acid sales and storage management system and method based on a logistics network. Background Technology

[0002] Intelligent acid filling systems are primarily designed for highly corrosive acid filling scenarios in metallurgy, chemical industry, and lead-acid battery manufacturing. Traditional manual or semi-automatic acid filling methods suffer from drawbacks such as high operational safety risks, insufficient metering accuracy, acid mist pollution, low production efficiency, and lack of data traceability. Coupled with industry demands for upgrades in safety, environmental protection, precise proportioning, and digital management, these systems are becoming increasingly popular. Existing technologies often use PLCs (Programmable Logic Controllers) / DCS (Distributed Control Systems) as the core control unit, complemented by corrosion-resistant pumps and valves, high-precision flow / level / temperature sensors, automatic loading arms, and 3D laser positioning devices. They employ fully enclosed pipeline transportation and negative pressure acid mist recovery processes, combined with AI (Artificial Intelligence) dynamic adjustment algorithms to achieve precise control of filling speed and valve opening. They also integrate license plate recognition, order management, remote monitoring, and anomaly interlocking protection functions. Some solutions utilize IT (Information Technology) and OT (Operational Technology) technologies. The integration of technology (operational technology) and industrial AI technology enables unmanned operation and full-process data traceability, balancing operational safety, environmental compliance, and production efficiency.

[0003] For example, patent application CN118092302A discloses an automatic metering device and control method for acid loading in an acid truck, comprising: a metering valve system, which includes a flow meter, a disc valve, an electric switching valve, and a regulating valve connected in series; and a PLC control system, which includes at least an acid discharge accumulation unit and a regulating valve opening adjustment unit. The acid discharge accumulation unit is used to receive the flow meter sensing signal and determine the cumulative acid discharge amount, and the regulating valve opening adjustment unit is used to output a regulating valve opening adjustment signal to the regulating valve based on the difference between the cumulative acid discharge amount and the given acid discharge amount.

[0004] However, in the process of implementing the inventive technical solution in the embodiments of this application, it was found that the above-mentioned technology has at least the following technical problems: In existing technologies, traditional manual or semi-automatic acid loading relies on manual operation and simple control units, which leads to problems such as high operational safety risks, insufficient metering accuracy, acid mist pollution, low production efficiency, and lack of full-process data traceability. Summary of the Invention

[0005] This application provides an intelligent concentrated sulfuric acid sales and storage management system and method based on a logistics network. It solves the problems in the prior art, such as high operational safety risks, insufficient metering accuracy, acid mist pollution, low production efficiency, and lack of full-process data traceability, which are caused by the reliance on manual operation and simple control units in traditional manual or semi-automatic acid loading. It realizes intelligent closed-loop control and automated operation of the entire process of acid loading, from reservation, identification, execution to sales management.

[0006] This application provides an intelligent concentrated sulfuric acid sales and storage management system based on a logistics network, including: an acid loading reservation module, a vehicle identification module, an acid loading execution module, and a sales management module. The acid loading reservation module receives acid loading reservation information and performs pre-verification. After successful pre-verification, an acid loading task is generated. Reservation information includes, but is not limited to, driver and escort identity information, vehicle information, reserved loading volume, sulfuric acid type, and reservation time. Pre-verification includes basic verification, qualification verification, and vehicle verification. The vehicle identification module includes a license plate recognition device, an ID card recognition device, a laser recognition device, and a positioning recognition device. The license plate recognition device scans the front and rear license plates of the vehicle and performs multiple rounds of scanning. The comparison includes an ID card recognition device to read the driver's ID card information and verify it against the appointment information; a laser recognition device to obtain the three-dimensional coordinates of the acid loading tank opening based on a three-dimensional laser scanner; and a positioning recognition device to automatically identify and verify the vehicle and driver's identities when the vehicle enters the plant and is positioned at the acid loading platform. The acid loading execution module includes a weighbridge station, which, after receiving the start signal, completes automatic positioning of the loading arm, quantitative acid loading, and overflow prevention operations, and automatically collects and calculates the vehicle's tare weight, gross weight, and net weight information, records the weighing timestamp, and synchronizes it to related data. The sales management module is used to realize closed-loop management of the entire process of sulfuric acid sales, from order initiation, appointment review, acid loading execution, data statistics to ledger generation.

[0007] This application also provides an intelligent concentrated sulfuric acid sales and storage management method based on a logistics network. The method includes: S11, receiving and pre-verifying acid loading reservation information via an acid loading reservation module, generating an acid loading task after successful pre-verification; S12, automatically identifying license plate information and comparing it with reservation information upon vehicle entry via a vehicle identification module, allowing entry after successful comparison; S13, automatically collecting and recording vehicle tare weight data via an acid loading execution module upon vehicle arrival at the weighbridge; S14, confirming vehicle location and driver identity via a vehicle identification module after vehicle entry to the designated acid loading station; S15, triggering the acid loading execution module to automatically complete loading arm positioning and docking, quantitative acid loading, and overflow prevention operations; S16, after acid loading, re-entering the weighbridge, automatically collecting gross weight data, calculating net weight, and recording and synchronizing data via the acid loading execution module; and S7, integrating all process data via a sales management module to generate an acid loading order and complete closed-loop management of the sales ledger.

[0008] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. This invention sets up an acid loading reservation module to receive acid loading reservation information and perform basic verification, qualification verification and vehicle verification. After the pre-verification is passed, an acid loading task is generated. This allows for the early screening of non-compliant items in the reservation information, the elimination of invalid or illegal reservations, and the reduction of the risk of subsequent work interruption. As a result, the acid loading reservation process is standardized and refined, ensuring the rationality and compliance of the initiation of acid loading tasks.

[0009] 2. This invention integrates license plate recognition, ID card recognition, laser recognition, and positioning recognition devices by setting up a vehicle recognition module. This enables multi-round comparison of vehicle license plate numbers, driver identity verification, acquisition of three-dimensional coordinates of tank opening, and full-process vehicle positioning and recognition. This strengthens identity verification and positioning control before acid loading operations, eliminates safety hazards such as mismatched identities and misplaced vehicles, and achieves full-process traceability and verification of vehicle and driver identities, thereby improving the level of pre-loading safety protection for acid loading operations.

[0010] 3. This invention, by setting up an acid loading execution module, automatically completes the positioning of the loading arm, quantitative acid loading, overflow prevention protection, and automatic collection and calculation of vehicle tare weight, gross weight, and net weight after receiving the start signal at the weighbridge station. It also records the weighing timestamp and links the data synchronously, thereby reducing manual operation links, reducing manual measurement and operation errors, improving the automation level and data accuracy of acid loading operations, and thus realizing the standardization and automation of the acid loading operation process, ensuring accurate and controllable acid loading volume.

[0011] 4. This invention, by setting up a sales management module, integrates the data and processes of each stage of acid filling reservation, vehicle identification, and acid filling execution, realizing the seamless connection of the entire process of sulfuric acid sales from order initiation, reservation review, acid filling execution, data statistics to ledger generation. This breaks down data barriers between stages, avoids process disconnect and data omission, improves operational management efficiency, and achieves closed-loop management of the entire sulfuric acid sales process, ensuring traceability and controllability of each stage and improving the overall level of operational standardization.

[0012] 5. This invention integrates four major modules: acid loading reservation, vehicle identification, acid loading execution, and sales management. It enables collaborative linkage and data sharing among these modules. By leveraging IoT technology, it connects the entire chain of acid loading operations and sales management, thereby achieving intelligent scheduling, refined control, and integrated promotion of sales management. This reduces the cost and safety risks of manual intervention, and ultimately achieves synergistic optimization of acid loading operations and sales management, improving the overall intelligence and efficiency of enterprise operations. Attached Figure Description

[0013] Figure 1 A schematic diagram of the intelligent concentrated sulfuric acid sales and storage management system based on the logistics network provided in this application embodiment; Figure 2 A pre-verification flowchart of the intelligent concentrated sulfuric acid sales and storage management system based on the logistics network provided in this application embodiment; Figure 3 A flowchart of a smart concentrated sulfuric acid sales and storage management method based on a logistics network provided in this application embodiment. Detailed Implementation

[0014] This application provides an intelligent concentrated sulfuric acid sales and storage management system and method based on a logistics network. This solves the problems in existing technologies where traditional manual or semi-automatic acid loading relies on manual operation and simple control units, leading to high operational safety risks, insufficient metering accuracy, acid mist pollution, low production efficiency, and a lack of full-process data traceability. The overall approach is as follows: First, the reservation module performs multi-level automated pre-verification and approval of reservation applications containing personnel, vehicle, and order information to generate reliable tasks. Then, the vehicle identification module utilizes license plates, ID cards, laser, and positioning technologies to automatically and accurately verify the identity and location of vehicles upon entry and placement, ensuring the correct acid loading target. The core acid loading execution module, supported by the weighbridge station, not only completes automatic loading arm positioning, quantitative acid loading, and data collection, but also integrates three advanced intelligent control mechanisms: First, a variable frequency pump speed adaptive control mechanism based on real-time flow deviation and self-optimizing adjustment step size to ensure accurate and stable acid loading flow rate; second, a radar level protection mechanism based on dynamically calculating early warning thresholds for different tank truck opening heights to achieve differentiated overflow prevention safety protection; and third, a net weight confirmation mechanism based on statistical analysis of historical acid loading data to dynamically determine the error range, improving the intelligent judgment level of measurement results. Ultimately, all process data is collected uniformly by the sales management module to form a complete digital ledger, which deeply integrates IoT sensing, automatic control and data analysis technologies, significantly improving the safety, accuracy, efficiency and traceability of highly corrosive acid filling operations.

[0015] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0016] like Figure 1The diagram shown is a structural schematic of the intelligent concentrated sulfuric acid sales and storage management system based on the logistics network provided in this application embodiment. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network provided in this application embodiment includes: an acid loading reservation module, a vehicle identification module, an acid loading execution module, and a sales management module. The acid loading reservation module receives acid loading reservation information submitted by customers or sales personnel through the system reservation terminal (or manually entered in the background) and performs pre-verification. After the pre-verification is passed, an acid loading task is generated. The reservation information includes, but is not limited to, driver and escort identity information, vehicle information, reserved filling volume, sulfuric acid type, and reservation time. The pre-verification includes basic verification, qualification verification, and vehicle verification. The vehicle identification module includes a license plate recognition device, an ID card recognition device, a laser recognition device, and a positioning recognition device. The system includes several modules: a vehicle identification device for scanning the front and rear license plates and performing multiple comparisons; an ID card recognition device for reading the driver's ID information and verifying it against the appointment information; a laser recognition device for acquiring the 3D coordinates of the acid loading tank opening based on a 3D laser scanner; and a positioning recognition device for detecting whether the vehicle is in a preset operating position based on a positioning sensor. These modules automatically identify and verify the vehicle and driver's identities when the vehicle enters the plant and is positioned at the acid loading platform. The acid loading execution module, including a weighbridge, automatically positions the loading arm, performs quantitative acid loading, and provides overflow protection upon receiving a start signal. It also automatically collects and calculates the vehicle's tare weight, gross weight, and net weight, records the weighing timestamp, and synchronizes it to related data. The sales management module enables closed-loop management of the entire sulfuric acid sales process, from order initiation and appointment review to acid loading execution, data statistics, and ledger generation.

[0017] Specifically, customers or sales personnel log into the system to initiate sulfuric acid sales orders. They select a maintained customer, the default or extended concentration of sulfuric acid, and fill in basic information such as the order number and date. They specify the planned sales quantity, unit price, designated registered transportation unit, transportation permit number, order validity period, and expected acid loading time. After submission, the order becomes "pending appointment" after approval (rejected orders can be modified and resubmitted). Customers who have already placed orders can initiate acid loading appointments through a terminal or through sales personnel on their behalf. They submit complete information including driver and escort identity information, vehicle license plate number, appointment loading quantity, and sulfuric acid type. The system performs basic checks on the completeness of basic information, consistency between sulfuric acid type and order, and ensuring the loading quantity does not exceed the total order quantity. The transportation unit... After verifying the validity of the transport permit number, the authenticity of the personnel's identity, the standardization of the vehicle license plate, and the absence of duplicate reservations, the approver confirms and generates a reservation number. Multiple reservations are allowed for the same order, but the cumulative amount of fuel added cannot exceed the planned order quantity. Reservations must be made within the order's validity period and avoid peak hours when the acid loading platform is occupied. When a vehicle enters the factory area, the entrance license plate recognition device scans the front and rear license plates and compares them with the reservation information before allowing entry. The system simultaneously pushes the reservation and order information to the weighbridge station and the acid loading platform terminal. The vehicle arrives at the weighbridge station to collect tare weight and record relevant data. Subsequently, the vehicle travels to the designated acid loading platform. After the positioning sensor detects that the vehicle is in place, the driver swipes their ID card for identity verification, and the license plate is re-registered at the acid loading platform. The scanning device performs triple license plate comparison; once all comparisons pass, the acid loading start authorization is activated. Personnel initiate the automated acid loading process remotely via on-site control panel or central control room. The system first automatically performs a self-check to confirm the normal status of valves, pumps, sensors (such as radar level gauges, pH sensors, and flow meters), and emergency shut-off devices. Then, it automatically identifies the tanker information using RFID (Radio Frequency Identification) or QR code scanning technology, interacts with the MES (Manufacturing Execution System), retrieves order details (such as acid type, concentration, and loading volume), and automatically generates task instructions. Next, it guides operators or the automated loading arm to perform safe operations, including electrostatic grounding detection and vehicle positioning detection. Finally, it confirms the connection between the loading arm and the tanker using a visual recognition system or sensors. The sealed docking of the vehicle inlet is initiated by a nitrogen purging device that inerts the pipeline according to a preset program. At the same time, pressure sensors monitor the pipeline's sealing performance to prevent leakage or oxidation. Subsequently, the system automatically opens the feed valve and variable frequency pump based on parameters set according to order data. Flow meters monitor the flow rate in real time, and mass flow meters accurately measure the mass. The data is fed back to the PLC (Programmable Logic Controller) for closed-loop control. Radar level gauges continuously monitor the tanker's liquid level and dynamically adjust the pump speed using AI (Artificial Intelligence) prediction algorithms to prevent overflow. Meanwhile, pH sensors and online density meters monitor the acid quality. In case of abnormalities, alarms are automatically triggered and operations are suspended. During loading, the IoT platform integrates all sensor data to achieve remote monitoring and trend analysis.After acid loading is completed, the system automatically shuts off valves and pumps, performs pipeline purging, recovers the gas phase to the treatment device, and verifies the loading amount a second time using a weight sensor or level gauge to ensure that the error is within the standard. Subsequently, the vehicle goes to the weighbridge again to collect the gross weight, and the system automatically calculates the net weight and synchronizes it to the order and ledger. If the license plate comparison fails or the identity verification is inconsistent during the process, the system triggers an alarm to prohibit acid loading. If the liquid level is abnormal or there is a leak during acid loading, the system will automatically stop and push an alarm to the central control room. If the error between the net weight and the scheduled loading amount exceeds the threshold, manual confirmation is required. The process can continue after the fault is resolved or confirmed. Finally, the system generates a standardized acid loading slip containing information such as driver, vehicle, type and quantity of acid loaded, weighing data, operation time, and approval information. Simultaneously, an electronic report is generated and synchronized to the cloud database, updating inventory and order status. The system also guides the loading arm to reset and disconnect. After the driver prints the loading slip, it is verified again by the vehicle's license plate at the factory exit before release. All data related to orders, appointments, weighing, acid loading operations, equipment operating status, and alarms are uploaded to the system to form an unalterable archive, achieving closed-loop management of the entire sulfuric acid sales process from order initiation, appointment review, acid loading execution to data statistics and ledger generation.

[0018] In this embodiment, the present invention achieves a comprehensive improvement in the accuracy, safety, traceability, and management efficiency of sulfuric acid loading operations through the collaborative design of four core modules and closed-loop management of the entire process. Regarding accuracy, the visual positioning module uses a 3D laser scanner to acquire the 3D coordinates of the acid loading tank opening, and dynamically adjusts the pump speed using PLC closed-loop control and AI prediction algorithms. Combined with real-time monitoring by flow meters and mass flow meters, this ensures accurate automatic positioning and docking of the loading arm and that quantitative acid loading errors are controlled within the standard range. The weighbridge automatically collects the vehicle's tare weight and gross weight and automatically calculates the net weight, simultaneously recording a timestamp to avoid human error from manual weighing and ensure the accuracy and reliability of the measurement data. In terms of safety, the vehicle recognition module uses triple comparison—scanning license plates at the factory entrance, secondary scanning at the acid loading station, and comparing the reservation information—along with verification of the consistency between the driver's ID card and the reservation information, to prevent unreserved vehicles and personnel with mismatched identities from participating in acid loading operations from the source. Before operation, the system automatically performs self-checks on valves, pumps, sensors, and emergency shut-off devices. During operation, it uses radar level gauges to prevent overflow, pressure sensors to monitor pipeline sealing, and pH sensors and online density meters to control acid quality. It also has an alarm and prohibition mechanism for license plate comparison failures and identity verification inconsistencies, automatic pause and alarm push functions for abnormal liquid levels and leaks, and a manual confirmation process for errors between net weight and reserved filling volume exceeding a threshold, forming a full-chain safety protection to effectively avoid risks such as leaks, overflows, and violations of regulations. In terms of traceability, the system records order information, reservation data, vehicle and personnel qualification information, weighing data, acid loading operation parameters, equipment operating status and alarm information throughout the entire process. All data is uploaded to the cloud database to form an unalterable operation file, which supports querying and exporting, enabling traceability of every step from order initiation to factory release, and meeting compliance management requirements. In terms of management efficiency, the sales management module connects with existing modules such as customer management and appointment management, achieving seamless integration from order initiation, appointment review, acid loading execution, data statistics to ledger generation. The same order supports multiple appointments, and the cumulative loading volume is automatically checked to ensure it does not exceed the total order amount. Appointment times are automatically avoided during acid loading station occupancy periods, optimizing resource scheduling. Automated acid loading execution processes (such as automatic positioning, automatic acid loading, pipeline purging, and residual liquid recovery) replace traditional manual operations, reducing labor costs and operation time. The dual-channel appointment mode on both the client and system sides, along with fuzzy search and automatic information verification functions, simplifies the appointment and review process, improves the ease of operation for customers and staff, and achieves standardized and intelligent management of sulfuric acid sales and acid loading operations. It completely solves problems such as chaotic appointments, inaccurate measurement, numerous safety hazards, and scattered and difficult-to-trace data in traditional acid loading operations.

[0019] like Figure 2The diagram shows a pre-verification flowchart of the intelligent concentrated sulfuric acid sales and storage management system based on the logistics network provided in this application embodiment. The specific steps for pre-verification are as follows: S1, based on the associated sales order, perform basic verification, qualification verification, and vehicle verification on the reservation information in sequence; wherein, the basic verification is used to verify the completeness of the reservation information, the consistency between the sulfuric acid type and the corresponding sales order, and whether the cumulative reservation refill quantity exceeds the planned sales quantity of the order; the qualification verification is used to verify whether the transportation unit is a valid unit registered in the system, the validity of the transportation permit number, and the authenticity of the driver's and escort's ID card information; the vehicle verification is used to verify the standardization of the front and rear license plate numbers of the vehicle and to check whether there are duplicates for the same order. S2, if all checks in step S1 pass, further determine whether the cumulative reservation amount for this order exceeds the preset planned sales quantity. If not, push the reservation application to the pre-set approver's to-do list. If yes, mark the reservation status as verification failed, report the failure reason including the cumulative reservation amount exceeding the limit to the reservation initiator, and terminate this reservation process. S3, receive the approver's approval feedback: if the approval is approved, update the reservation status to approved, generate a unique reservation number, and synchronously generate an acid loading task based on the reservation number and the corresponding complete reservation information. If the approval is rejected, report the specific rejection reason to the reservation initiator and allow them to modify and resubmit based on the rejection reason.

[0020] In this embodiment, the present invention provides key pre-guarantees for the compliant operation, precise control, and efficient flow of the intelligent acid loading system through a layered and progressive verification logic and a closed-loop approval mechanism, resulting in significant and comprehensive technical effects. In terms of verification dimensions, step S1 conducts multi-dimensional checks through basic verification, qualification verification, and vehicle verification. This ensures that the reservation information has no missing required fields, the sulfuric acid type matches the sales order, and the cumulative reservation loading volume does not exceed the order plan, thus avoiding information mismatch and over-reservation issues from the source. Furthermore, by verifying the validity of the transportation unit's registration, the compliance of the transportation permit number, and the authenticity of the driver's and escort's identities, a solid safety barrier for transportation qualification compliance is established, preventing unqualified entities from participating in acid loading operations. Simultaneously, the verification of license plate standardization and duplicate reservations for the same order avoids situations of abnormal vehicle information or resource conflicts. Step S2, building upon the successful full verification in S1, conducts a second, targeted review of the cumulative refueling volume, creating a double-layer protection system. This precisely intercepts refueling requests exceeding the planned order volume and clearly provides feedback on the reasons for exceeding limits. This ensures the controllability of sales order execution and allows the refueling initiator to clearly understand the reasons for failure, improving process transparency. Step S3's approval feedback mechanism ensures the orderly implementation of verification results. Upon approval, a unique refueling number and acid loading task are generated, providing standardized data support for subsequent vehicle entry verification and acid loading execution, ensuring smooth process flow. When approval is rejected, specific reasons are provided, and modifications and resubmissions are allowed. This balances process rigor with flexibility, preventing process delays due to non-fundamental issues. Overall, this invention effectively filters out non-compliant and incomplete reservation applications through multi-dimensional verification, dual over-limit protection, and closed-loop approval feedback. This reduces the risk of abnormal interruptions in subsequent acid loading processes and lays a solid foundation for the accurate, safe, and efficient implementation of subsequent processes such as vehicle identification, weighing and metering, and automatic acid loading. At the same time, standardized verification and approval records improve the traceability of the entire acid loading business process and help realize the orderly closed-loop management of the entire sulfuric acid sales process.

[0021] Furthermore, in the quantitative acid loading and overflow protection operations, the acid loading execution module also includes an adaptive control mechanism for the variable frequency pump speed based on real-time flow deviation, a dynamic setting mechanism for radar liquid level warning values ​​based on tank structural parameters, and a dynamic confirmation mechanism for weighing errors based on historical statistical characteristics.

[0022] The specific steps of the variable frequency pump speed adaptive control mechanism based on real-time flow deviation are as follows: First, obtain a predefined rated flow value, which is the product of the scheduled filling volume and the target total acid loading time. Second, obtain the instantaneous flow value monitored by the flow meter in real time, calculate the absolute deviation between the instantaneous flow value and the rated flow value, and record it as the real-time flow deviation. Third, dynamically adjust the pump speed of the variable frequency pump based on the real-time flow deviation: If the real-time flow deviation is greater than or equal to the preset upper limit threshold of the flow deviation, it indicates that the actual flow deviates too much from the target, and the pump speed of the variable frequency pump is immediately adjusted to the lower limit of the pump speed reference value for flow stabilization intervention. If the real-time flow deviation is within the preset upper limit threshold... If the flow deviation is within the allowable range, it indicates that the flow control is good and the current pump speed is maintained. The allowable range represents the closed interval formed by the lower and upper limits of the flow deviation threshold. If the real-time flow deviation is less than or equal to the preset lower limit of the flow deviation threshold, it indicates that the system has a margin for acceleration. A predefined pump speed adjustment step size is obtained, and the variable frequency pump speed is increased stepwise based on the pump speed adjustment step size. The first real-time flow deviation before the current pump speed adjustment action is executed, and the second real-time flow deviation when the action is completed and the system enters a steady state are recorded. Based on the first and second real-time flow deviations, the pump speed adjustment for this operation is calculated. The action corresponds to the real-time flow deviation reduction rate; the cumulative number of pump speed adjustments within the current statistical period is obtained, and a pump speed adjustment smoothing coefficient is calculated based on a preset smoothing attenuation coefficient and the cumulative number of pump speed adjustments. Based on the pump speed adjustment smoothing coefficient and the real-time flow deviation reduction rate, the pump speed adjustment step size is dynamically adjusted. The pump speed adjustment efficiency index is calculated based on the reduction rate of the real-time flow deviation after adjustment and the number of pump speed adjustments. The pump speed adjustment efficiency index is the product of the real-time flow deviation reduction rate and the pump speed adjustment smoothing coefficient. Based on the changing trend of the pump speed adjustment efficiency index, the pump speed adjustment step size is dynamically adjusted as follows: if the historical efficiency of pump speed adjustment... If the index is greater than or equal to the preset high threshold of the efficiency index, it indicates that the current step size adjustment efficiency is high, and the pump speed adjustment step size is increased by a predefined first gain coefficient; if the historical efficiency index of the pump speed adjustment is within the preset normal range of the efficiency index, it indicates that the current step size is appropriate, and the pump speed adjustment step size is kept unchanged; if the historical efficiency index of the pump speed adjustment is less than or equal to the preset low threshold of the efficiency index, it indicates that the current step size may cause control oscillation, and the pump speed adjustment step size is decreased by a predefined first reduction coefficient; based on the dynamically adjusted pump speed adjustment step size, the pump speed of the variable frequency pump is increased stepwise until the upper limit of the pump speed reference value is reached to optimize the acid loading efficiency.

[0023] In this embodiment, the present invention achieves triple optimization in accuracy, efficiency, and stability of quantitative acid filling operations through deep collaboration with existing flow meters, variable frequency pumps, radar level gauges, and other equipment, providing core technical support for overflow prevention. The present invention first establishes a rated flow benchmark by multiplying the pre-determined filling volume by the target total acid filling time, providing a clear target for flow regulation and avoiding quantitative deviations caused by untargeted adjustments. Then, by real-time acquisition of the instantaneous flow value from the flow meter and calculation of the absolute deviation from the rated flow, a dynamic response pump speed adjustment logic is constructed. When the real-time flow deviation exceeds the upper limit threshold, the pump speed is immediately adjusted to the lower limit of the benchmark for flow stabilization intervention, quickly correcting large flow deviations and preventing overflow risks caused by sudden flow increases or acid filling delays caused by sudden flow drops. When the deviation is within the allowable range, the current pump speed is maintained to ensure stable flow output and a smooth and controllable acid filling process. When the deviation is below the lower limit threshold, the pump speed is increased in a stepped manner with preset steps, fully utilizing system redundancy to improve acid filling efficiency while avoiding flow fluctuations caused by blind acceleration. More importantly, this invention records the flow deviation data before and after pump speed adjustment, calculates the deviation reduction rate, and obtains the pump speed adjustment smoothness coefficient by combining the cumulative number of adjustments within the statistical period with the smoothing attenuation coefficient. This leads to the efficiency index, and the adjustment step size is dynamically optimized based on the changing trend of the efficiency index. When the efficiency index exceeds the threshold, the step size is increased to improve adjustment efficiency; when it is in the normal range, the step size is maintained to ensure stability; and when it is below the threshold, the step size is reduced to avoid control oscillations. This forms a closed-loop control system of real-time monitoring, dynamic adjustment, efficiency feedback, and parameter optimization. This intelligent adaptive design not only solves the pain point of fixed-step adjustment in balancing efficiency and stability, but also accurately matches the flow rate changes required under different acid loading scenarios. It ensures that the instantaneous flow rate always dynamically fluctuates around the rated flow rate without exceeding the safety range, effectively guaranteeing the accurate fulfillment of the scheduled filling volume and reducing acid waste or insufficient quantity. At the same time, the radar level gauge's anti-overflow monitoring provides double protection, further reducing safety hazards during the acid loading process. Moreover, the efficient pump speed adjustment logic shortens the acid loading time while ensuring accuracy, improving the turnover rate of the acid loading station. This deeply aligns with the needs of closed-loop management of the entire sulfuric acid sales process, providing accurate flow data support for subsequent weighing data verification and ledger generation, and promoting the technical goals of accurate quantity, optimal efficiency, and safe control in the acid loading execution process.

[0024] Furthermore, the specific steps of the dynamic setting mechanism for radar liquid level warning values ​​based on tank structure parameters are as follows: During the initialization of the acid loading task, retrieve the tank's safe volume and tank opening height from the vehicle registration information; calculate the expected filling liquid level height based on the tank's safe volume and the reserved filling amount; dynamically calculate and set the primary warning liquid level value and emergency shutdown liquid level value of the radar liquid level gauge based on the tank opening height; obtain the predefined initial primary warning liquid level value and initial emergency shutdown liquid level value; obtain the tank opening height of the current acid loading task, calculate the absolute deviation between the tank opening height and the predefined initial tank opening height, and record it as the tank opening height. Level deviation; based on the tank opening height deviation and a predefined tank height deviation-safety margin mapping table, the corresponding safety margin coefficient is obtained. The liquid level adjustment benchmark value is then dynamically calculated based on the tank opening height deviation and the safety margin coefficient. The liquid level adjustment benchmark value is the product of the tank opening height deviation and the safety margin coefficient. The tank height deviation-safety margin mapping table is a preset data table defining different tank opening height deviation ranges and corresponding safety margin coefficient values. The safety margin coefficient is an adjustment parameter obtained by mapping based on the magnitude of the tank opening height deviation, used to adjust the liquid level according to the degree of difference between the actual tank structure and the standard structure. The adjustment range is scaled; based on the liquid level adjustment reference value and a predefined unit liquid level adjustment amount, the liquid level adjustment ratio is calculated, which is the ratio of the liquid level adjustment reference value to the unit liquid level adjustment amount; based on the liquid level adjustment ratio and a predefined first adjustment coefficient, a first liquid level adjustment amount is calculated, which is the product of the liquid level adjustment ratio and the first adjustment coefficient; based on the liquid level adjustment ratio and a predefined second adjustment coefficient, a second liquid level adjustment amount is calculated, which is the product of the liquid level adjustment ratio and the first adjustment coefficient; based on the first liquid level adjustment amount and the second liquid level adjustment amount respectively... The initial primary warning level and the initial emergency shutdown level are dynamically adjusted to calculate the primary warning level and the emergency shutdown level. The primary warning level is the absolute deviation between the initial primary warning level and the first level adjustment amount, and the emergency shutdown level is the absolute deviation between the initial emergency shutdown level and the second level adjustment amount. During the acid loading process, the radar level gauge monitors the acid loading level in real time. When the acid loading level reaches the primary warning level, an audible and visual warning is issued. When the acid loading level reaches the emergency shutdown level, the variable frequency pump is automatically shut down and the loading arm is locked, triggering the overflow protection.

[0025] In this embodiment, during the initialization phase of the acid loading task, the safe volume and tank opening height of the tank in the vehicle registration information are retrieved first. Combined with the reserved filling amount, the expected filling liquid level height is calculated, providing a basis for setting the warning value that fits the actual acid loading needs. This avoids the problem of traditional fixed warning values ​​not matching the tank structure of different vehicles. Subsequently, by comparing the deviation between the current tank opening height and the predefined initial tank opening height, the corresponding safety margin coefficient is matched with a mapping table. The liquid level adjustment benchmark value and adjustment ratio are dynamically calculated. Then, the initial primary warning liquid level value and the initial emergency shutdown liquid level value are accurately corrected by the first and second adjustment coefficients, respectively. This allows the final set two-level warning values ​​to be flexibly scaled according to the actual structural differences of the tank. The greater the deviation between the tank and the standard structure, the more targeted the safety margin coefficient can be in adjusting the adjustment range. This ensures that the warning value will not cause early warning due to a small tank, affecting the acid loading efficiency, nor will it cause a delay in warning due to a large tank, leading to the risk of overflow. During acid loading, the radar level gauge monitors the acid level in real time. When the level reaches the initial warning value, an audible and visual alarm is triggered, reminding staff to pay attention to the loading progress. When the level reaches the emergency shutdown value, the system automatically shuts down the variable frequency pump and locks the loading arm, achieving immediate risk interception and forming a dual protection system of early warning and emergency response. Simultaneously, this invention is fully adaptable to the closed-loop management requirements of the entire system. The warning value is set based on the actual tank parameters registered with the vehicle, precisely corresponding to the scheduled filling volume and quantitative acid loading target. This avoids loading interruptions or safety hazards caused by unreasonable warning values. It not only solves the pain point of traditional uniform warning values ​​being difficult to adapt to the differences in tank structures of different transport vehicles, but also improves the response speed and accuracy of overflow protection through a dynamically adaptable two-level warning design, further enhancing the safety and controllability of acid loading operations. It provides reliable safety data support for real-time recording of acid loading data, ledger generation, and full-process traceability. Together with mechanisms such as real-time flow deviation control and dynamic confirmation of weighing errors, it achieves the technical goal of precise quantitative and safe acid loading.

[0026] Furthermore, the specific steps of the dynamic confirmation mechanism for weighing errors based on historical statistical characteristics are as follows: First, obtain historical net weight data sequences for the same vehicle and tank type. If such sequences exist, calculate the standard deviation of the net weight. If no such sequences exist, use a predefined default error threshold as the net weight error confirmation threshold for the current loading task. Second, dynamically calculate the net weight error confirmation threshold for the current loading task based on the standard deviation of the net weight and a predefined confidence level. The confidence level is a preset probability value used to represent the degree of confidence that the set net weight error confirmation threshold can cover the normal fluctuation range. The method for obtaining the net weight error confirmation threshold for the current loading task is as follows: Match the confidence level with a predefined confidence-coefficient mapping table to obtain the corresponding confidence coefficient. The confidence-coefficient mapping table is a preset data table that defines different confidence levels and corresponding confidence coefficient values. The process involves obtaining the actual... The system calculates the sample size of the historical acid loading net weight data sequence and matches it with a predefined sample size-correction factor mapping table to obtain the corresponding sample size correction factor. The sample size-correction factor mapping table is a preset data table that defines different sample size ranges and corresponding sample size correction factor values. Based on the confidence coefficient, sample size correction factor, and standard deviation of acid loading net weight, the system dynamically calculates the net weight error confirmation threshold for the current acid loading task. The net weight error confirmation threshold is the product of the standard deviation of acid loading net weight, confidence coefficient, and sample size correction factor. After acid loading is completed, the system automatically calculates the absolute error between the current net weight and the scheduled loading amount. Based on the absolute error and the net weight error confirmation threshold, the system dynamically confirms the acid loading result: if the absolute error is less than or equal to the net weight error confirmation threshold, the acid loading task is automatically confirmed as completed, and the data is archived; if the absolute error is greater than the net weight error confirmation threshold, a weight anomaly status is triggered, the automated process is paused, and manual verification and confirmation are required.

[0027] In this embodiment, the present invention achieves precision, adaptability, and reliability in judging the net weight error of acid loading, ensuring the accuracy of acid loading data and optimizing the efficiency of the operation process, providing key data verification assurance for closed-loop management of the entire process. First, for the same vehicle and the same tank type, historical net weight data sequences of acid loading are retrieved. By calculating the standard deviation of the sequence, the weighing fluctuation pattern of this type of vehicle and tank type is captured, making the error threshold highly personalized and adaptable. This completely solves the pain point that traditional fixed thresholds cannot adapt to the weighing characteristics of different vehicle and tank types and are prone to misjudgment or omission. For scenarios without historical data, a predefined default error threshold is enabled to ensure that the continuity of the process is not affected, thus taking into account both adaptability and process integrity. In the threshold calculation stage, the confidence coefficient corresponding to the preset confidence level is matched through a confidence-coefficient mapping table to ensure that the threshold can cover the normal weighing fluctuation range with a preset probability, avoiding accidental triggering of anomalies due to random fluctuations. At the same time, the corresponding correction factor is obtained through a sample size-correction factor mapping table by combining the number of historical data samples. The larger the sample size, the better the correction factor fits the data reliability. This allows the threshold calculation to take into account both the confidence coverage range and the statistical validity of the sample data. Finally, the accurate net weight error confirmation threshold is obtained by multiplying the standard deviation, confidence coefficient and sample size correction factor, achieving the dual empowerment of historical characteristics and statistical reliability. After acid loading is completed, this invention automatically calculates the absolute error between the net weight and the scheduled loading amount, and compares it with a dynamically generated threshold. If the error is within the threshold, the task is automatically confirmed as completed and the data is archived, ensuring the accuracy of the archived data and providing reliable support for ledger generation and sales statistics. If the error exceeds the threshold, a weight anomaly status is triggered, the automated process is paused, and manual verification is required. This avoids unnecessary manual intervention caused by overly strict fixed thresholds, improves the efficiency of routine operations, and prevents the overlooking of real weighing anomalies (such as equipment failure, excessive acid loading deviation, etc.) due to overly lenient thresholds, thus strengthening the defense line for data quality and operational compliance. Overall, this invention, through historical data modeling, dynamic threshold calculation, precise error judgment, and closed-loop anomaly handling, upgrades the judgment of weighing errors from a unified standard to a personalized and precise adaptation. This not only ensures the authenticity and traceability of acid loading data but also optimizes human-machine collaboration efficiency. In conjunction with mechanisms such as visual positioning, flow control, and liquid level warning, it further improves the precise control system for the acid loading execution process, providing solid data verification support for the closed-loop management of sulfuric acid sales from order to ledger, and effectively reducing the risks of data errors and operational violations.

[0028] like Figure 3The flowchart shown is a process flow of an intelligent concentrated sulfuric acid sales and storage management method based on a logistics network provided in this application embodiment. The method includes the following steps: S11, receiving and pre-verifying acid loading reservation information through the acid loading reservation module, generating an acid loading task after successful pre-verification; S12, automatically identifying license plate information and comparing it with reservation information when a vehicle enters the plant through the vehicle identification module, allowing entry after successful comparison; S13, the vehicle arrives at the weighbridge station, and the tare weight data is automatically collected and recorded by the acid loading execution module; S14, after the vehicle enters the designated acid loading station, vehicle positioning confirmation and driver identity verification are performed through the vehicle identification module; S15, after successful verification, the acid loading execution module is triggered to automatically complete the loading arm positioning and docking, quantitative acid loading, and overflow prevention operations; S16, after acid loading is completed, the vehicle re-enters the weighbridge station, and the gross weight data and net weight are automatically collected and recorded and synchronized by the acid loading execution module; S17, integrating the entire process data through the sales management module, generating an acid loading order, and completing closed-loop management of the sales ledger.

[0029] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0030] This invention is described with reference to flowchart illustrations and / or block diagrams of systems, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0031] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0032] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0033] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0034] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A smart concentrated sulfuric acid sales and storage management system based on the Internet of Things, characterized in that, It includes an acid loading reservation module, a vehicle identification module, an acid loading execution module, and a sales management module: The acid loading reservation module is used to receive acid loading reservation information and perform pre-verification. After the pre-verification is passed, an acid loading task is generated. The reservation information includes, but is not limited to, driver and escort identity information, vehicle information, reservation amount, sulfuric acid type and reservation time. The pre-verification includes basic verification, qualification verification and vehicle verification. The vehicle identification module includes a license plate recognition device, an ID card recognition device, a laser recognition device, and a positioning recognition device. The license plate recognition device is used to scan the front and rear license plate numbers of the vehicle and perform multiple rounds of comparison. The ID card recognition device is used to read the driver's ID card information and verify it with the reservation information. The laser recognition device is used to obtain the three-dimensional coordinates of the acid loading tank opening based on a three-dimensional laser scanner. The positioning recognition device is used to automatically identify and verify the vehicle and driver's identities when the vehicle enters the factory and is positioned at the acid loading platform. The acid loading execution module includes a weighbridge station, which, after receiving a start signal, completes automatic positioning of the loading arm, quantitative acid loading, and overflow protection operations, and automatically collects and calculates vehicle tare weight, gross weight, and net weight information, records the weighing timestamp, and synchronizes it to related data. The sales management module is used to realize closed-loop management of the entire process of sulfuric acid sales, from order initiation, appointment review, acid loading execution, data statistics to ledger generation.

2. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 1, characterized in that, The specific steps for performing the pre-verification are as follows: S1, based on the associated sales order, perform basic verification, qualification verification and vehicle verification on the reservation information in sequence; The basic verification is used to verify the completeness of the reservation information, the consistency between the sulfuric acid type and the corresponding sales order, and whether the cumulative reservation amount exceeds the planned sales quantity of the order. The qualification verification is used to verify whether the transportation unit is a valid unit that has been registered in the system, the validity of the transportation certificate number, and the authenticity of the driver's and escort's ID card information; The vehicle verification is used to verify the standardization of the front and rear license plate numbers of the vehicle and to check whether there are duplicate reservation records for the same order. S2. If all the checks in step S1 pass, then it is further determined whether the cumulative number of orders to be reserved exceeds the preset order sales quantity. If not, the reservation application is pushed to the to-do list of the preset approver. If so, the reservation status is marked as verification failure, the reason for failure is reported to the reservation initiator, and the reservation process is terminated. S3, receive approval feedback from the approver: if the approval is approved, update the appointment status to approved, generate an appointment number, and synchronously generate an acid loading task based on the appointment number and the corresponding complete appointment information; if the approval is rejected, provide feedback to the appointment initiator on the specific reasons for rejection, and allow them to modify and resubmit based on the reasons for rejection.

3. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 1, characterized in that, In the quantitative acid filling and overflow prevention operations, the acid filling execution module also includes an adaptive control mechanism for variable frequency pump speed based on real-time flow deviation, a dynamic setting mechanism for radar liquid level warning value based on tank structure parameters, and a dynamic confirmation mechanism for weighing error based on historical statistical characteristics.

4. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 3, characterized in that, The specific steps of the variable frequency pump speed adaptive control mechanism based on real-time flow deviation are as follows: Obtain a predefined rated flow rate value, wherein the rated flow rate value is the product of the scheduled filling amount and the target total acid loading time; The instantaneous flow rate value monitored by the flow meter is acquired in real time, and the absolute deviation between the instantaneous flow rate value and the rated flow rate value is calculated and recorded as the real-time flow deviation. The pump speed of the variable frequency pump is dynamically adjusted in real time based on the real-time deviation of the flow rate. If the real-time flow deviation is greater than or equal to the preset upper limit threshold for flow deviation, the pump speed of the variable frequency pump will be adjusted to the lower limit of the pump speed reference. If the real-time flow deviation is within the preset flow deviation allowable range, the current pump speed is maintained unchanged. The flow deviation allowable range represents the closed interval formed by the lower limit threshold of flow deviation and the upper limit threshold of flow deviation. If the real-time flow deviation is less than or equal to the preset lower limit threshold of flow deviation, a predefined pump speed adjustment step size is obtained, and the pump speed of the variable frequency pump is increased stepwise based on the pump speed adjustment step size. The first real-time flow deviation before the current pump speed adjustment action is executed, and the second real-time flow deviation when the action is completed and the pump speed enters a steady state are recorded. Based on the first real-time flow deviation and the second real-time flow deviation, the flow real-time deviation reduction rate corresponding to this pump speed adjustment action is calculated. Obtain the cumulative number of pump speed adjustments within the current statistical period, and calculate the pump speed adjustment smoothing coefficient based on the preset smoothing attenuation coefficient and the cumulative number of pump speed adjustments. Based on the pump speed adjustment smoothing coefficient and the real-time flow deviation reduction rate, dynamically adjust the pump speed adjustment step size until the upper limit of the pump speed reference value is reached.

5. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 4, characterized in that, The steps for dynamically adjusting the pump speed adjustment step size include: The pump speed regulation efficiency index is calculated based on the decrease rate of the real-time deviation of the flow rate after adjustment and the number of pump speed adjustments. The pump speed regulation efficiency index is the product of the decrease rate of the real-time deviation of the flow rate and the pump speed regulation smoothness coefficient. Based on the changing trend of the pump speed regulation efficiency index, the pump speed regulation step size is dynamically adjusted as follows: If the historical efficiency index of the pump speed adjustment is greater than or equal to the preset high threshold of efficiency index, it indicates that the current step size adjustment efficiency is high, and the pump speed adjustment step size is increased according to the predefined first gain coefficient. If the historical efficiency index of the pump speed adjustment is within the preset normal efficiency index range, it indicates that the current step size is appropriate, and the pump speed adjustment step size should be kept unchanged. If the historical efficiency index of the pump speed adjustment is less than or equal to the preset low threshold of the efficiency index, it indicates that the current step size may cause control oscillation, and the pump speed adjustment step size is reduced by a predefined first reduction coefficient. Based on the dynamically adjusted pump speed adjustment step size, the pump speed of the variable frequency pump is increased in a stepwise manner.

6. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 3, characterized in that, The specific steps of the radar liquid level early warning value dynamic setting mechanism based on tank structure parameters are as follows: During the initialization of the acid loading task, the safe volume of the tank and the height of the tank opening are retrieved from the vehicle registration information; based on the safe volume of the tank and the reserved filling amount, the expected filling liquid level height is calculated; The primary warning level and emergency shutdown level values ​​of the radar level gauge are dynamically calculated and set based on the tank opening height. During the acid loading process, the radar level gauge monitors the acid level in real time. When the acid level reaches the primary warning level, an audible and visual warning is issued. When the acid level reaches the emergency shutdown level, the variable frequency pump is automatically shut down and the loading arm is locked, triggering the overflow protection.

7. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 6, characterized in that, The methods for obtaining the primary warning liquid level value and the emergency shutdown liquid level value are as follows: Obtain the predefined initial primary warning liquid level value and initial emergency shutdown liquid level value; Obtain the tank opening height of the current acid loading task, calculate the absolute deviation between the tank opening height and the predefined initial tank opening height, and record it as the tank opening height deviation; The tank opening height deviation is matched with a predefined tank height deviation-safety margin mapping table to obtain the corresponding safety margin coefficient. The liquid level adjustment reference value is dynamically calculated based on the tank opening height deviation and the safety margin coefficient. The liquid level adjustment reference value is the product of the tank opening height deviation and the safety margin coefficient. The tank height deviation-safety margin mapping table is a preset data table that defines different tank opening height deviation ranges and corresponding safety margin coefficient values. Based on the liquid level adjustment reference value and the predefined unit liquid level adjustment amount, the liquid level adjustment ratio is calculated, whereby the liquid level adjustment ratio is the ratio of the liquid level adjustment reference value to the unit liquid level adjustment amount. Based on the liquid level adjustment ratio and the predefined first adjustment coefficient, the first liquid level adjustment amount is calculated, which is the product of the liquid level adjustment ratio and the first adjustment coefficient. Based on the liquid level adjustment ratio and the predefined second adjustment coefficient, the second liquid level adjustment amount is calculated, which is the product of the liquid level adjustment ratio and the first adjustment coefficient. The initial primary warning liquid level value and the initial emergency shutdown liquid level value are dynamically adjusted based on the first liquid level adjustment amount and the second liquid level adjustment amount, respectively, to calculate the primary warning liquid level value and the emergency shutdown liquid level value. The primary warning liquid level value is the absolute deviation between the initial primary warning liquid level value and the first liquid level adjustment amount, and the emergency shutdown liquid level value is the absolute deviation between the initial emergency shutdown liquid level value and the second liquid level adjustment amount.

8. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 3, characterized in that, The specific steps of the dynamic confirmation mechanism for weighing errors based on historical statistical characteristics are as follows: Obtain the historical net weight data sequence of acid loading for the same vehicle and the same tank type; If the historical acid-filling net weight data sequence exists, the standard deviation of the acid-filling net weight of the sequence is calculated; if the historical acid-filling net weight data sequence does not exist, the predefined default error threshold is used as the net weight error confirmation threshold for the current acid-filling task. Based on the standard deviation of the net weight of acid loading and the predefined confidence level, the net weight error confirmation threshold for the current acid loading task is dynamically calculated. After acid loading is completed, the absolute error between the net weight and the scheduled loading amount is automatically calculated. Based on the absolute error and the net weight error confirmation threshold, the acid loading result is dynamically confirmed. If the absolute error is less than or equal to the net weight error confirmation threshold, the acid loading task will be automatically confirmed as complete and the data will be archived. If the absolute error exceeds the net weight error confirmation threshold, an abnormal weight status is triggered, the automated process is paused, and manual verification and confirmation are required.

9. The intelligent concentrated sulfuric acid sales and storage management system based on the logistics network as described in claim 8, characterized in that, The method for obtaining the net weight error confirmation threshold for the current acid loading task is as follows: The confidence level is matched with a predefined confidence-coefficient mapping table to obtain the corresponding confidence coefficient. The confidence-coefficient mapping table is a preset data table that defines different confidence levels and corresponding confidence coefficient values. The sample size of the real-time historical net weight data sequence of acid is obtained, and the sample size is matched with a predefined sample size-correction factor mapping table to obtain the corresponding sample size correction factor. The sample size-correction factor mapping table is a preset data table that defines different sample size ranges and corresponding sample size correction factor values. Based on the confidence coefficient, the sample size correction factor, and the standard deviation of the acid filling net weight, the net weight error confirmation threshold for the current acid filling task is dynamically calculated, wherein the net weight error confirmation threshold is the product of the standard deviation of the acid filling net weight, the confidence coefficient, and the sample size correction factor.

10. A method for intelligent concentrated sulfuric acid sales and storage management based on a logistics network, applied in the intelligent concentrated sulfuric acid sales and storage management system based on a logistics network as described in claims 1-9, characterized in that, Includes the following steps: S11, receive and pre-verify the acid loading reservation information through the acid loading reservation module, and generate the acid loading task after the pre-verification is passed. S12: The vehicle recognition module automatically identifies the license plate information when a vehicle enters the factory and compares it with the reservation information. If the comparison is successful, the vehicle is allowed to enter the factory. S13, when the vehicle arrives at the weighbridge station, the tare weight data of the vehicle is automatically collected and recorded by the acid loading execution module; S14. After the vehicle enters the designated acid loading platform, the vehicle location is confirmed and the driver's identity is verified through the vehicle identification module. S15, after verification, the acid loading execution module is triggered to automatically complete the loading arm positioning and docking, quantitative acid loading and overflow prevention operations; S16. After the acid loading is completed, the vehicle drives back into the weighbridge station. The acid loading execution module automatically collects the gross weight data, calculates the net weight, and completes data recording and synchronization. S17 integrates data from the entire process through the sales management module, generates acid packing slips, and completes closed-loop management of sales ledgers.

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