Loading and unloading control method and system for hazardous chemicals conveyor

Abstract

The present invention discloses a loading and unloading control method and system for a hazardous chemical conveyor, and relates to the field of loading and unloading control technology. The method comprises: obtaining the dynamic position data of the hazardous chemical conveyor in real time through a vehicle-mounted positioning device; activating the environmental monitoring module of the loading and unloading area according to the dynamic position data, performing real-time data collection through the environmental monitoring module, and obtaining a multi-dimensional loading and unloading parameter set; establishing a double interlocking mechanism, performing loading and unloading judgment based on the multi-dimensional loading and unloading parameter set, triggering the double interlocking mechanism according to the judgment result, and generating a linkage control instruction; installing an anti-overflow valve group, and deploying an anti-overflow control instruction in the liquid level monitoring channel when the linkage control instruction is obtained; correlating and integrating the linkage control instruction with the anti-overflow control instruction based on the loading and unloading time series data, and formulating a loading and unloading control strategy. The method solves the technical problem of low safety in the hazardous chemical loading and unloading process in the prior art, and achieves the technical effect of improving the safety and reliability of the hazardous chemical loading and unloading process.

Description

Technical Field

[0001] The present invention relates to the technical field of loading and unloading control, and in particular to a loading and unloading control method and system for a hazardous chemical conveyor. Background Art

[0002] In the chemical and petrochemical industries, the transportation and handling of hazardous chemicals is an integral part of the production process. Traditional loading and unloading control technologies are often unable to effectively respond to emergencies, which can easily lead to safety accidents. Existing loading and unloading control systems mostly rely on manual operation or simple monitoring methods, lacking real-time monitoring, accurate judgment, and emergency response mechanisms. This poses a significant safety hazard, especially when faced with complex loading and unloading environments and changing operating conditions. This is particularly true for overflow issues. Traditional liquid level monitoring during loading and unloading is often not precise enough, and there is no effective linkage control mechanism. Once overflow occurs, it can cause a safety accident. Summary of the Invention

[0003] The present application provides a loading and unloading control method and system for a hazardous chemical conveyor, which solves the technical problem of low safety in the hazardous chemical loading and unloading process in the prior art.

[0004] In a first aspect of the present application, a method for controlling loading and unloading of a hazardous chemical conveyor is provided, the method comprising:

[0005] The dynamic position data of the hazardous chemical conveyor is obtained in real time through the vehicle-mounted positioning device; the environmental monitoring module of the loading and unloading area is activated according to the dynamic position data, and real-time data is collected through the environmental monitoring module to obtain a multi-dimensional loading and unloading parameter set; a double interlocking mechanism is established, and loading and unloading judgments are made based on the multi-dimensional loading and unloading parameter set, and the double interlocking mechanism is triggered according to the judgment results to generate linkage control instructions; an anti-overflow valve group is installed, and when the linkage control instruction is obtained, the anti-overflow control instruction is deployed in the liquid level monitoring channel; based on the loading and unloading timing data, the linkage control instruction and the anti-overflow control instruction are associated and integrated to formulate a loading and unloading control strategy.

[0006] A second aspect of the present application provides a loading and unloading control system for a hazardous chemical conveyor, the system comprising:

[0007] The first data acquisition unit is used to obtain the dynamic position data of the hazardous chemical conveyor in real time through the vehicle-mounted positioning device; the second data acquisition unit is used to activate the environmental monitoring module of the loading and unloading area according to the dynamic position data, and perform real-time collection through the environmental monitoring module to obtain a multi-dimensional loading and unloading parameter set; the judgment unit is used to establish a double interlocking mechanism, perform loading and unloading judgment based on the multi-dimensional loading and unloading parameter set, trigger the double interlocking mechanism according to the judgment result, and generate a linkage control instruction; the instruction deployment unit is used to install an anti-overflow valve group, and when the linkage control instruction is obtained, the anti-overflow control instruction is deployed in the liquid level monitoring channel; the strategy formulation unit is used to associate and integrate the linkage control instruction with the anti-overflow control instruction based on the loading and unloading timing data, and formulate a loading and unloading control strategy.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] First, the dynamic position data of the hazardous chemical conveyor is obtained in real time through the vehicle-mounted positioning device. Furthermore, the environmental monitoring module of the loading and unloading area is activated based on the dynamic position data, and real-time data is collected through the environmental monitoring module to obtain a multi-dimensional loading and unloading parameter set. Next, a double interlocking mechanism is established, and loading and unloading judgments are made based on the multi-dimensional loading and unloading parameter set. The double interlocking mechanism is triggered according to the judgment results, and a linkage control instruction is generated. Then, an anti-overflow valve group is installed, and when the linkage control instruction is obtained, the anti-overflow control instruction is deployed in the liquid level monitoring channel. Finally, based on the loading and unloading timing data, the linkage control instruction is associated and integrated with the anti-overflow control instruction to formulate a loading and unloading control strategy. This solves the technical problem of low safety in the hazardous chemical loading and unloading process in the existing technology, and achieves the technical effect of improving the safety and reliability of the hazardous chemical loading and unloading process. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 A schematic flow chart of a method for controlling loading and unloading of hazardous chemicals conveyors provided in an embodiment of the present application;

[0012] Figure 2 A schematic structural diagram of a loading and unloading control system for a hazardous chemicals conveyor provided in an embodiment of the present application.

[0013] Explanation of the reference numerals: first data acquisition unit 11 , second data acquisition unit 12 , determination unit 13 , instruction deployment unit 14 , strategy formulation unit 15 . DETAILED DESCRIPTION

[0014] The present application solves the technical problem of low safety in the hazardous chemical loading and unloading process in the prior art by providing a loading and unloading control method and system for a hazardous chemical conveyor.

[0015] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0016] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0017] Example 1, as Figure 1 As shown, the present application provides a loading and unloading control method for a hazardous chemical conveyor, wherein the method includes:

[0018] The dynamic location data of hazardous chemical conveyors can be obtained in real time through the vehicle-mounted positioning device.

[0019] The vehicle-mounted positioning device is used to obtain the dynamic position data of the hazardous chemical conveyor in real time to ensure that the position of the conveyor can be accurately monitored and safely controlled throughout the loading and unloading process. Specifically, the vehicle-mounted positioning device includes the Global Positioning System (GPS) and Radio Frequency Identification (RFID) technology. GPS receives satellite signals to provide the latitude and longitude position of the hazardous chemical conveyor, while RFID helps identify and enhance position accuracy through regional identification points, especially in complex environments or those with signal interference. The working principle of the vehicle-mounted positioning device is to fuse the GPS positioning signal with the RFID tag information, and generate a composite positioning signal through multi-mode positioning technology. This composite signal can ensure the accurate identification of the conveyor position in a dynamic environment, avoiding the errors and uncertainties brought about by traditional single positioning technology.

[0020] Furthermore, the dynamic position data of the hazardous chemical conveyor is obtained in real time by using the vehicle-mounted positioning device, and the method includes:

[0021] The GPS positioning data of the vehicle-mounted positioning device is integrated with the RFID area identification data of the hazardous chemicals conveyor, and multi-mode positioning is performed based on the fusion result to determine a composite positioning signal; three-dimensional spatial constraints are set according to the terrain characteristics of the loading and unloading area; a dynamic electronic fence is established according to the three-dimensional spatial constraints, and the composite positioning signal is matched and verified based on the dynamic electronic fence to generate a signal verification result; the signal verification result is added to the dynamic position data.

[0022] Specifically, the GPS positioning data from the vehicle-mounted positioning device is integrated with the RFID zone identification data of the hazardous chemical conveyor. The GPS system provides the real-time geographic location of the hazardous chemical conveyor, while the RFID zone identification is used to enhance location accuracy, particularly for detailed location identification in the loading and unloading area. Through data fusion, the GPS positioning data is combined with the RFID zone identification data, and multi-mode positioning technology is used to accurately locate the hazardous chemical conveyor, generating a composite positioning signal. By fusing GPS and RFID data, multi-mode positioning technology can optimize location information in multiple dimensions, eliminating positioning errors from a single system. The longitude and latitude information provided by GPS and the zone identification information provided by RFID work together to significantly improve positioning accuracy. For example, within the loading and unloading area, the RFID identification determines whether the conveyor is close to a designated location or target, while the GPS signal is used to confirm its approximate position within a wider area.

[0023] After acquiring the composite positioning signal, three-dimensional spatial constraints are set based on the topographical characteristics of the loading and unloading area to further improve positioning accuracy and ensure that the hazardous chemical conveyor operates within a safe area. Three-dimensional spatial constraints are defined by comprehensively analyzing the physical environment of the loading and unloading area, incorporating factors such as topographical undulations, obstacle distribution, and spatial structure to define a three-dimensional, dynamically adjusted safe operating area. Topographical characteristics of the loading and unloading area include elevation differences, obstacle locations, the distribution of buildings or other facilities, and other ground features that may affect conveyor positioning (such as slope or uneven ground). Based on these terrain features, three-dimensional spatial constraints are set, including spatial elevation restrictions, obstacle avoidance range, inclination and stability restrictions; specifically, spatial elevation restrictions: according to the ups and downs of different areas, the maximum and minimum height ranges allowed for hazardous chemical conveyors are set to prevent the conveyors from deviating from the predetermined track due to changes in ground height; obstacle avoidance range: identify possible obstacles in the loading and unloading area (such as walls, equipment, pipelines, etc.), and set the minimum safe distance between the conveyor and the obstacles to ensure that the conveyor can operate smoothly without interfering with other facilities; inclination and stability restrictions: according to the inclination of the ground, the inclination range allowed for the conveyor is set to ensure that it remains stable during operation and does not tilt or lose control due to uneven ground.

[0024] Based on three-dimensional spatial constraints, a dynamic electronic fence is established. This dynamic electronic fence is a real-time, virtual boundary that dynamically adjusts to the conveyor's position. When the hazardous chemical conveyor's composite positioning signal enters or approaches the electronic fence, the system verifies the signal's match. If the composite positioning signal meets the electronic fence's constraints, it passes verification and generates a valid signal verification result. Finally, this signal verification result is added to the dynamic position data and serves as the basis for subsequent loading and unloading control, monitoring, and safety analysis. This process ensures that the hazardous chemical conveyor's position remains within the monitoring range and can determine in real time whether it deviates from the safe zone, effectively improving the safety and accuracy of the loading and unloading process.

[0025] An environmental monitoring module of the loading and unloading area is activated according to the dynamic position data, and real-time data collection is performed through the environmental monitoring module to obtain a multi-dimensional loading and unloading parameter set.

[0026] When the hazardous chemical conveyor's dynamic position data confirms its location within the loading and unloading area, the system automatically activates the corresponding environmental monitoring module based on this location data and begins collecting relevant environmental parameters in real time. Using a sensor array, flow meters, temperature sensors, and other equipment, the environmental monitoring module monitors multiple environmental parameters in the loading and unloading area in real time, generating a multidimensional loading and unloading parameter set encompassing information on pressure, temperature, flow rate, and other dimensions.

[0027] Furthermore, activating an environmental monitoring module of the loading and unloading area according to the dynamic location data includes:

[0028] Determine whether the composite positioning signal is within the dynamic electronic fence; if the composite positioning signal is not within the dynamic electronic fence, trigger an area out-of-bounds alarm for the loading and unloading area; perform position correction on the dynamic position data of the hazardous chemicals conveyor based on the area out-of-bounds alarm; if the composite positioning signal is within the dynamic electronic fence, generate a loading and unloading monitoring instruction for the hazardous chemicals conveyor; activate the environmental monitoring module of the loading and unloading area through the loading and unloading monitoring instruction.

[0029] Specifically, the system determines whether the composite positioning signal is within a dynamic electronic fence. This is a virtual boundary set in real time based on the actual terrain and operational requirements of the loading and unloading area. It dynamically adjusts as the hazardous chemical conveyor's dynamic position changes. If the composite positioning signal is within the restricted range of the electronic fence, the system assumes that the hazardous chemical conveyor is in a safe operating area and continues with subsequent operations. If the composite positioning signal is not within the electronic fence, an area out-of-bounds alarm is triggered, alerting the system that the hazardous chemical conveyor may have entered an unspecified hazardous area or an out-of-bounds area. When the area out-of-bounds alarm is triggered, the system corrects the dynamic position data of the hazardous chemical conveyor. By further verifying and calculating its actual position, the system corrects the original data to ensure that the conveyor's position is accurate and meets the safety zone requirements. This correction process may include re-evaluating the composite positioning signal, comparing it with other sensor data, or adjusting the preset position range based on the actual conditions of the loading and unloading area. When the composite positioning signal verifies that the system is within the dynamic electronic fence, the system generates a loading and unloading monitoring instruction for the hazardous chemical conveyor. This instruction activates the environmental monitoring module in the loading and unloading area, instructing it to begin real-time collection and monitoring of key parameters during the loading and unloading process, such as pressure, temperature, and flow rate. The loading and unloading monitoring instruction activates the environmental monitoring module, enabling precise data collection and ensuring real-time tracking and control of all environmental factors during the loading and unloading process.

[0030] Furthermore, the environmental monitoring module performs real-time data collection to obtain a multi-dimensional loading and unloading parameter set, and the method includes:

[0031] A distributed layout is used to start the pressure sensor array for pressure sensing to obtain multi-point pressure values ​​in the pipeline; a temperature gradient monitoring device is deployed on the outer wall of the transmission pipeline for temperature sensing, and an annular temperature measurement node is set; an ultrasonic flow meter is installed to calculate the real-time flow rate of the fluid based on the Doppler effect; the multi-point pressure values ​​in the pipeline, the annular temperature measurement nodes, and the real-time flow rate of the fluid are spatially mapped according to timestamps to obtain the multi-dimensional loading and unloading parameter set of the loading and unloading area.

[0032] First, the system uses a distributed pressure sensor array to monitor multiple pressure levels within the pipeline in real time. These pressure sensors are deployed at various locations along the pipeline to acquire real-time pressure data from multiple points within the pipeline. By monitoring multiple pressure points, the system can accurately assess internal pipeline pressure fluctuations and promptly detect potential pressure fluctuations or abnormally high pressures, which is crucial for preventing pipeline leaks or equipment damage. Second, the system deploys temperature gradient monitoring devices along the outer wall of the pipeline for temperature sensing. By deploying ring-shaped temperature measurement nodes, the system monitors the temperature distribution of the fluid at various locations along the pipeline. These ring-shaped temperature measurement nodes provide accurate temperature data, ensuring that temperatures remain within safe ranges during loading and unloading. Furthermore, the system incorporates ultrasonic flowmeters that calculate fluid flow in real time based on the Doppler effect. These ultrasonic flowmeters transmit and receive ultrasonic signals to measure the flow velocity of the fluid in the pipeline and calculate real-time flow data based on the Doppler effect. This flow data helps determine the flow of the fluid during transportation, ensuring that the flow rate is within the expected range and preventing overflows or transport disruptions caused by improper flow control. Finally, the system spatially maps the pressure values ​​at multiple points within the pipeline, the temperature data from the annular temperature measurement nodes, and the real-time flow rate data of the fluid, all according to timestamps. This spatial mapping process combines these different dimensions of environmental data to create a unified environmental dataset for the loading and unloading area. By synchronizing this data with timestamps, the system can comprehensively analyze various parameters throughout the loading and unloading process, generating a multidimensional loading and unloading parameter set encompassing multiple environmental data dimensions such as pressure, temperature, and flow. This provides a comprehensive reference for subsequent loading and unloading decisions, risk assessments, and control strategy development.

[0033] A double interlocking mechanism is established, loading and unloading judgment is performed based on the multi-dimensional loading and unloading parameter set, the double interlocking mechanism is triggered according to the judgment result, and a linkage control instruction is generated.

[0034] The double interlocking mechanism means that during the loading and unloading process, the system ensures the safety of operations through two independent safety levels. Each level has independent monitoring and control functions, and achieves higher safety protection by judging and linking data from different dimensions.

[0035] Based on the previously collected multi-dimensional loading and unloading parameters (such as pressure, temperature, and flow), the system will perform loading and unloading assessments, assessing whether the current operation is safe based on this environmental data. If any of these parameters exceeds the preset safety threshold, the system will identify it as a potential risk. At this point, the dual interlock mechanism will be activated, generating a coordinated control command, which simultaneously triggers the valve closure command and the pump shutdown command.

[0036] Furthermore, a double interlocking mechanism is established, loading and unloading determination is performed based on the multi-dimensional loading and unloading parameter set, and the double interlocking mechanism is triggered according to the determination result to generate a linkage control instruction. The method includes:

[0037] Determine the hardware layer and the software layer, construct an emergency braking circuit based on the hardware layer, and deploy a PLC logic controller in the software layer; determine the multi-point pressure values ​​in the pipeline, the annular temperature measurement node, and the real-time flow rate of the fluid through the PLC logic controller; when any dimensional parameter exceeds a preset safety threshold, activate the emergency braking circuit to trigger a valve closing instruction and a pump shutdown instruction; control-match the valve closing instruction and the pump shutdown instruction to generate a control matching degree, and generate the linkage control instruction based on the control matching degree.

[0038] A dual interlocking mechanism is constructed at both the hardware and software levels. The hardware layer includes multiple sensors, actuators (such as valves and pumps), and an emergency brake circuit. The sensors collect real-time multi-dimensional loading and unloading parameters within the loading and unloading area, such as pressure, temperature, and flow data within the pipeline. The actuators execute relevant operations (for example, closing valves or shutting down pumps) based on control instructions. The emergency brake circuit ensures rapid safety measures in the event of an emergency to prevent further accidents. The software layer deploys a programmable logic controller (PLC) to process the data collected by the sensors, make decisions, and generate interlocking control instructions.

[0039] The PLC receives multidimensional loading and unloading parameter data from the environmental monitoring module, including pressure readings at multiple points within the pipeline, temperature readings from ring temperature measurement nodes, and real-time fluid flow data. The PLC compares the sensor data against pre-set safety thresholds. If any parameter (such as pressure, temperature, or flow) exceeds the pre-set safety range, the PLC identifies a potential risk in the loading and unloading process and triggers a double interlock mechanism. If the PLC logic controller determines that a loading and unloading parameter (such as pressure, temperature, or flow) exceeds the safety range, the system activates the hardware-level emergency braking circuit, issuing valve closure and pump shutdown commands. Valve closure shuts off fluid flow to prevent hazardous chemical leaks; pump shutdown prevents excessive pressure or flow within the pipeline, which could lead to other potential safety hazards. During this process, the system performs control matching based on the execution priority and response speed of valve closure and pump shutdown, generating a control matching degree. Control matching refers to the degree of matching between the valve opening and closing angle and the pump speed, that is, when the system performs valve closing and pump shutdown operations, how to coordinate with each other according to the changes in the valve opening and closing angle and the adjustment of the pump speed to ensure that they work in a coordinated manner to avoid excessive flow or pressure fluctuations. Specifically, the valve opening and closing angle determines the degree of fluid circulation, while the pump speed controls the fluid delivery speed. Optionally, the matching relationship between the valve opening and closing angle and the pump speed can be evaluated based on real-time flow, pressure, temperature and other data in the pipeline; then, it is calculated using the control matching formula. , where n represents the number of data points, represents the valve opening and closing angle at the i-th moment, represents the pump speed at the i-th moment, and These functions represent the control behavior of the valve and pump, respectively. These functions are typically fitted to flow, pressure, and temperature data. The closer the calculated result is to 0, the closer the match between the valve opening and closing angles and the pump speed, and the more coordinated the control behavior. Conversely, a match close to 1 indicates weaker synergy between the two, potentially leading to a risk of desynchronization.

[0040] Based on the control matching degree, linkage control instructions are generated. For example, if the control matching degree is high, the system may prioritize valve closing and pump shutdown instructions to ensure that both reach a safe state in the shortest possible time. If the control matching degree is low, the system may adjust the valve opening and closing angle or the pump speed to ensure better coordination between the two actions, thereby avoiding excessive pressure fluctuations or flow shocks during the shutdown process. The PLC logic controller controls the valve and pump actions based on the generated linkage control instructions, ensuring that they execute in a coordinated manner, avoiding equipment damage or potential safety risks caused by control mismatch.

[0041] An anti-overflow valve group is installed, and when the linkage control instruction is obtained, an anti-overflow control instruction is deployed in the liquid level monitoring channel.

[0042] The overflow prevention valve assembly is installed at the junction of the hazardous chemical pipeline and the storage tank, serving as a critical control node for liquid flow. Comprising a main valve and redundant backup valves, the overflow prevention valve assembly ensures that if the liquid exceeds the safe level, emergency measures can be taken quickly to prevent overflow. Specifically, when the system receives a linkage control command, the overflow prevention control command is deployed through the liquid level monitoring channel, ensuring that the liquid level in the tank remains within a safe range.

[0043] Furthermore, an anti-overflow valve group is installed, and when the linkage control instruction is obtained, an anti-overflow control instruction is deployed in the liquid level monitoring channel, and the method includes:

[0044] An anti-overflow valve group is installed at the connection between the conveying pipeline and the storage tank; the liquid level data in the tank is obtained in real time through a multi-source liquid level monitoring device, and the liquid level change rate is calculated based on the liquid level data in the tank; a linkage trigger threshold is set according to the liquid level change rate, and when the liquid level data in the tank reaches the linkage trigger threshold, the anti-overflow control instruction is generated to control the anti-overflow valve group.

[0045] First, an overflow prevention valve assembly is installed at a strategic location between the delivery pipeline and the storage tank. This assembly consists of a main valve and redundant backup valves, which work together to prevent overflow by closing or adjusting the valve opening when the liquid level exceeds a safe range, effectively blocking the flow of liquid into the tank. The valve assembly's location is crucial, ensuring that the valves can respond immediately during the liquid delivery process, preventing the liquid from overflowing into the external environment. Next, the system monitors the liquid level changes within the tank in real time using multiple level monitoring devices. These devices include level sensors and level change rate sensors, providing accurate data on the tank's liquid level. After acquiring real-time level data, the system calculates the level change rate, which indicates the rate of increase or decrease in the liquid level and is a key indicator for determining overflow risk. A rapid level change indicates that the tank is rapidly filling, potentially exceeding the preset safe level. The system sets a trigger threshold based on the level change rate within the tank. This threshold is determined based on historical level data, liquid characteristics, and operational safety requirements. When the rate of change of the liquid level reaches or exceeds the linkage trigger threshold, the system automatically generates an anti-overflow control command, which is immediately transmitted to the anti-overflow valve group. By controlling the valve action, it prevents the liquid level from rising further, thereby avoiding overflow. The main valve or redundant backup valve of the anti-overflow valve group will immediately respond, closing the valve or adjusting the valve opening to cut off the liquid flow and ensure that the liquid level remains within a safe range.

[0046] Based on the loading and unloading timing data, the linkage control instructions and the anti-overflow control instructions are associated and integrated to formulate a loading and unloading control strategy.

[0047] Loading and unloading time series data refers to the time series data of all key operating parameters recorded during the loading and unloading process of hazardous chemical conveyors. This includes, but is not limited to, valve opening time series data, pump speed time series data, liquid level time series data, and pressure gradient time series data within the pipeline. By collecting and recording this data in real time, we can fully understand the changes in various operating parameters during the loading and unloading process, ensuring real-time feedback on the system's execution status at each stage.

[0048] After acquiring the loading and unloading time series data, the system extracts features from this data to identify key stages in the loading and unloading process. For example, at critical moments such as when the liquid level approaches a preset threshold, when a valve is adjusted, or when the pump speed changes, the system automatically generates corresponding linkage control instructions or overflow prevention instructions. By correlating the time series data, the linkage control instructions and overflow prevention instructions are integrated to form an efficient and precise loading and unloading control strategy.

[0049] Furthermore, the linkage control instruction and the anti-overflow control instruction are associated and integrated based on the loading and unloading time sequence data to formulate a loading and unloading control strategy, and the method includes:

[0050] Based on the loading and unloading area, loading and unloading timing data are collected to obtain loading and unloading timing data, which includes valve opening timing data, pump speed timing data, liquid level height timing data, and pressure gradient timing data; the linkage control instructions and the triggering conditions of the anti-overflow control instructions are aligned in time and space dimensions to establish an instruction association matrix; feature extraction is performed based on the loading and unloading timing data, and the loading and unloading stages are divided based on the timing features and mapped to the instruction association matrix to generate a multi-stage exclusive control strategy; the multi-stage exclusive control strategy is executed according to the valve opening timing data, the pump speed timing data, the liquid level height timing data, and the pressure gradient timing data. When a strategy conflict is detected, the optimal control sequence is executed according to the preset safety priority to generate the loading and unloading control strategy; the loading and unloading control strategy is executed to synchronously record and generate a safety audit log, and the safety audit log is fed back to the central control platform in real time to perform a risk situation analysis on the loading and unloading control of the hazardous chemical conveyor.

[0051] First, the system collects time-series data in the loading and unloading area. This data includes valve opening, pump speed, liquid level, and pressure gradient within the pipeline. By collecting these key loading and unloading parameters in real time, the system can fully understand the operating status of the equipment and the real-time status of the fluid within the pipeline during the loading and unloading process. For example, valve opening time-series data can reflect the flow regulation process within the pipeline, pump speed time-series data indicates the pump's operating status under different loads, liquid level time-series data can monitor the liquid level changes in the storage tank in real time, and pressure gradient time-series data can help determine pressure fluctuations within the pipeline and promptly identify potential leaks.

[0052] After obtaining this loading and unloading time series data, the system aligns the triggering conditions of the linkage control instructions with those of the overflow prevention control instructions in both time and space. Specifically, the system first centrally manages the triggering conditions of all instructions and maps them into an instruction association matrix. This matrix clearly identifies the execution priority, triggering timing, and interrelationships of different control instructions, ensuring that all control instructions are accurately triggered and executed during each loading and unloading phase. Next, the system extracts features based on the real-time loading and unloading time series data to identify key operational stages during the loading and unloading process. For example, when the liquid level approaches a preset threshold, the overflow prevention control instruction is activated, prompting the overflow prevention valve group to operate to prevent liquid overflow. During pump operation, the system monitors changes in pump speed and pressure gradient. If an abnormal pump operation is detected, the linkage control instruction is automatically triggered, shutting down the pump or closing the valve to prevent possible equipment damage or safety accidents. Each critical stage is mapped to the instruction association matrix, generating a control strategy tailored to that stage.

[0053] When the system detects the simultaneous triggering of multiple control commands, conflicts or priority issues may arise. For example, if an overflow prevention command and a linkage control command are triggered at the same time, the system will resolve the conflict based on the pre-set priority. Generally, overflow prevention commands have a higher priority because preventing liquid spills is an urgent safety task, while linkage control commands involve equipment regulation and protection and are typically executed when no safety incidents are occurring. The system uses pre-set safety priority rules to determine the optimal control sequence, ensuring that all operations proceed synchronously and safely. Finally, the system executes a pre-defined multi-stage dedicated control strategy and simultaneously records every operational event and equipment status during the loading and unloading process, generating a security audit log. This log contains information on the execution of each control command, changes in equipment status, and the occurrence of abnormal events, providing critical data support for subsequent risk analysis and decision-making. Furthermore, the security audit log is fed back to the central control platform in real time, providing operators with a comprehensive risk analysis, assessing the safety of current operations, and promptly implementing preventive measures or initiating emergency response.

[0054] Furthermore, the method for executing the loading and unloading control strategy to synchronously record and generate a security audit log includes:

[0055] The loading and unloading control strategy is executed to store the operation events and equipment status of the entire loading and unloading process, and a time series database is established; the time series database is traversed to extract features of abnormal events to obtain an abnormal data feature set; the time series database is highlighted and marked according to the abnormal data feature set to generate an abnormal visual audit report; control security analysis is performed according to the timestamp in the abnormal visual audit report to determine the security audit log.

[0056] First, based on the executed loading and unloading control strategy, the system records all operational events and equipment status throughout the loading and unloading process in real time. These records include, but are not limited to, changes in valve opening, pump speed adjustments, changes in liquid level, and pressure gradient fluctuations. Each event is timestamped, forming a complete operation log. These operation logs, along with real-time equipment status information, are stored in a time series database for subsequent query, analysis, and processing. Next, the system traverses the data stored in the time series database, specifically extracting features for potential abnormal events. These events can include equipment failures, parameter fluctuations exceeding safety thresholds, and system misoperation. By applying data mining techniques, the system identifies the characteristics of abnormal data and generates a set of abnormal data features. These features may include unusual fluctuations in key operating parameters such as valve opening, pump speed, and liquid level change rate, or equipment behavior outside pre-set safety thresholds. After extracting these abnormal data features, the system highlights them in the time series database and generates a visual audit report of the abnormalities. This report enables operators or managers to quickly identify abnormal events during the loading and unloading process. These anomaly visualization reports typically include graphical presentations such as curve charts, bar charts, or heat maps, visually demonstrating the temporal distribution of anomalies, their severity, and potential impact on system security. Finally, the system conducts a control safety analysis based on the timestamps in the anomaly visualization audit report. This control safety analysis enables in-depth analysis of the cause, context, and potential security impact of each anomaly, generating corresponding security audit logs. These security audit logs record the specific circumstances of the anomaly, the time of occurrence, the control instructions triggered, and the emergency measures taken. These logs are then fed back to the central control platform, providing decision support for risk analysis, accident prevention, and emergency response.

[0057] Furthermore, the safety audit log is fed back to the central control platform in real time to conduct risk situation analysis on the loading and unloading control of the hazardous chemicals conveyor, and the method includes:

[0058] Retrieve historical accident cases of the loading and unloading control of hazardous chemical conveyors, associate the historical accident cases with safety audit logs, and build a knowledge graph database; traverse the knowledge graph database to learn and identify potential risk patterns; calculate the risk probability distribution data of the loading and unloading control of hazardous chemical conveyors based on the potential risk patterns; feed back the potential risk patterns and the risk probability distribution data to the central control platform. When a new risk pattern is detected, start the online learning mechanism to update the knowledge graph database to output a risk heat map, conduct risk situation analysis, and dynamically display the safety status level.

[0059] The system retrieves historical accident cases from the hazardous chemical conveyor loading and unloading control process. These cases document past equipment failures, safety hazards, and other abnormal events. By linking these historical accident cases with real-time safety audit logs, a knowledge graph database is constructed. This knowledge graph connects these historical accident cases with various events, operations, and parameters in the loading and unloading control process, forming a graph that represents the relationship between system knowledge, equipment behavior, and potential risks.

[0060] After establishing a knowledge graph database, the system traverses and learns it, identifying potential risk patterns. These patterns may be safety hazards caused by equipment failure, improper operation, environmental changes, and other factors. Using deep learning or pattern recognition algorithms, the system extracts hidden risk patterns from historical accident cases and real-time audit logs, classifying and labeling them. Next, based on the identified potential risk patterns, the system calculates the probability distribution of risks that may occur during the loading and unloading control process. This process analyzes the frequency of historical accidents, influencing factors, and current operating conditions to generate risk probabilities under different risk patterns. These probabilities represent the likelihood of different risk events occurring. The system quantifies these probabilities and outputs them as risk probability distribution data. This data provides a quantitative basis for assessing the safety status of current operations, helping operators understand the likelihood of various risks and take appropriate preventative measures. The system then feeds these potential risk patterns and risk probability distribution data back to the central control platform in real time for management personnel to conduct further risk analysis. The central control platform dynamically displays the system's safety status through risk heat maps. These heat maps, based on different risk patterns and probability distributions, identify different safety status levels and indicate which areas or links are more risky and which are safer. In this way, the central control platform can monitor the entire loading and unloading process in real time and take timely measures to deal with high-risk situations.

[0061] On this basis, when the system detects a new risk pattern, it can initiate an online learning mechanism and automatically update the knowledge graph database. The online learning mechanism enables the system to continuously optimize the knowledge graph based on new accident cases, real-time audit logs, and newly added data, improving its ability to predict future risks. In this way, the system's risk identification and early warning capabilities have been continuously improved, ensuring the safety of the hazardous chemical conveyor loading and unloading process. Ultimately, the risk heat map, risk status analysis, and safety status level output by the central control platform can provide decision makers with real-time data support, helping them to promptly adjust operating strategies, optimize control systems, and develop emergency response plans to minimize safety hazards during the hazardous chemical conveyor loading and unloading process, ensuring the safety and stability of the entire operation process.

[0062] Optionally, probabilistic models can be used to quantify risk. Common models include Bayesian networks, Markov processes, and Monte Carlo simulations. These models can generate probability distributions for each risk model based on historical data, influencing factors, and real-time operating conditions. Bayesian networks are particularly well-suited to handling multivariate dependencies. They can infer the conditional probability of an accident based on known historical data and current conditions. Markov processes can model equipment state transitions, considering the transition from normal to faulty states and assessing the risk probabilities under different states. For example, in a Bayesian network, the risk of equipment failure can be calculated by combining the current state of the equipment (such as temperature, pressure, and operating time) with the failure probabilities from historical accident data to calculate the conditional probability of equipment failure under current operating conditions. Finally, the system summarizes the risk probabilities under different risk models and outputs risk probability distribution data. This data reflects the likelihood of each potential risk event occurring and can provide clear early warning information to operators. For example, the system might output the following: Under current operating conditions, the probability of equipment failure is 10%, the probability of overflow is 2%, and the probability of leakage is 5%.

[0063] In summary, the embodiments of the present application have at least the following technical effects:

[0064] First, the dynamic position data of the hazardous chemical conveyor is obtained in real time through the vehicle-mounted positioning device. Furthermore, the environmental monitoring module of the loading and unloading area is activated based on the dynamic position data, and real-time data is collected through the environmental monitoring module to obtain a multi-dimensional loading and unloading parameter set. Next, a double interlocking mechanism is established, and loading and unloading judgments are made based on the multi-dimensional loading and unloading parameter set. The double interlocking mechanism is triggered according to the judgment results, and a linkage control instruction is generated. Then, an anti-overflow valve group is installed, and when the linkage control instruction is obtained, the anti-overflow control instruction is deployed in the liquid level monitoring channel. Finally, based on the loading and unloading timing data, the linkage control instruction is associated and integrated with the anti-overflow control instruction to formulate a loading and unloading control strategy. This solves the technical problem of low safety in the hazardous chemical loading and unloading process in the existing technology, and achieves the technical effect of improving the safety and reliability of the hazardous chemical loading and unloading process.

[0065] Example 2, based on the same inventive concept as the loading and unloading control method for hazardous chemicals conveyor in the previous embodiment, Figure 2 As shown, the present application provides a loading and unloading control system for a hazardous chemical conveyor, wherein the system includes:

[0066] The first data acquisition unit 11 is used to obtain the dynamic position data of the hazardous chemical conveyor in real time through the vehicle-mounted positioning device; the second data acquisition unit 12 is used to activate the environmental monitoring module of the loading and unloading area according to the dynamic position data, and perform real-time collection through the environmental monitoring module to obtain a multi-dimensional loading and unloading parameter set; the judgment unit 13 is used to establish a double interlocking mechanism, perform loading and unloading judgment based on the multi-dimensional loading and unloading parameter set, trigger the double interlocking mechanism according to the judgment result, and generate a linkage control instruction; the instruction deployment unit 14 is used to install an anti-overflow valve group, and when the linkage control instruction is obtained, the anti-overflow control instruction is deployed in the liquid level monitoring channel; the strategy formulation unit 15 is used to associate and integrate the linkage control instruction with the anti-overflow control instruction based on the loading and unloading timing data, and formulate a loading and unloading control strategy.

[0067] Furthermore, the first data acquisition unit 11 is configured to execute the following method:

[0068] The GPS positioning data of the vehicle-mounted positioning device is integrated with the RFID area identification data of the hazardous chemicals conveyor, and multi-mode positioning is performed based on the fusion result to determine a composite positioning signal; three-dimensional spatial constraints are set according to the terrain characteristics of the loading and unloading area; a dynamic electronic fence is established according to the three-dimensional spatial constraints, and the composite positioning signal is matched and verified based on the dynamic electronic fence to generate a signal verification result; the signal verification result is added to the dynamic position data.

[0069] Furthermore, the second data acquisition unit 12 is configured to execute the following method:

[0070] Determine whether the composite positioning signal is within the dynamic electronic fence; if the composite positioning signal is not within the dynamic electronic fence, trigger an area out-of-bounds alarm for the loading and unloading area; perform position correction on the dynamic position data of the hazardous chemicals conveyor based on the area out-of-bounds alarm; if the composite positioning signal is within the dynamic electronic fence, generate a loading and unloading monitoring instruction for the hazardous chemicals conveyor; activate the environmental monitoring module of the loading and unloading area through the loading and unloading monitoring instruction.

[0071] Furthermore, the second data acquisition unit 12 is configured to execute the following method:

[0072] A distributed layout is used to start the pressure sensor array for pressure sensing to obtain multi-point pressure values ​​in the pipeline; a temperature gradient monitoring device is deployed on the outer wall of the transmission pipeline for temperature sensing, and an annular temperature measurement node is set; an ultrasonic flow meter is installed to calculate the real-time flow rate of the fluid based on the Doppler effect; the multi-point pressure values ​​in the pipeline, the annular temperature measurement nodes, and the real-time flow rate of the fluid are spatially mapped according to timestamps to obtain the multi-dimensional loading and unloading parameter set of the loading and unloading area.

[0073] Furthermore, the determination unit 13 is configured to execute the following method:

[0074] Determine the hardware layer and the software layer, construct an emergency braking circuit based on the hardware layer, and deploy a PLC logic controller in the software layer; determine the multi-point pressure values ​​in the pipeline, the annular temperature measurement node, and the real-time flow rate of the fluid through the PLC logic controller; when any dimensional parameter exceeds a preset safety threshold, activate the emergency braking circuit to trigger a valve closing instruction and a pump shutdown instruction; control-match the valve closing instruction and the pump shutdown instruction to generate a control matching degree, and generate the linkage control instruction based on the control matching degree.

[0075] Furthermore, the instruction deployment unit 14 is configured to execute the following method:

[0076] An anti-overflow valve group is installed at the connection between the conveying pipeline and the storage tank; the liquid level data in the tank is obtained in real time through a multi-source liquid level monitoring device, and the liquid level change rate is calculated based on the liquid level data in the tank; a linkage trigger threshold is set according to the liquid level change rate, and when the liquid level data in the tank reaches the linkage trigger threshold, the anti-overflow control instruction is generated to control the anti-overflow valve group.

[0077] Furthermore, the policy formulation unit 15 is configured to execute the following method:

[0078] Based on the loading and unloading area, loading and unloading timing data are collected to obtain loading and unloading timing data, which includes valve opening timing data, pump speed timing data, liquid level height timing data, and pressure gradient timing data; the linkage control instructions and the triggering conditions of the anti-overflow control instructions are aligned in time and space dimensions to establish an instruction association matrix; feature extraction is performed based on the loading and unloading timing data, and the loading and unloading stages are divided based on the timing features and mapped to the instruction association matrix to generate a multi-stage exclusive control strategy; the multi-stage exclusive control strategy is executed according to the valve opening timing data, the pump speed timing data, the liquid level height timing data, and the pressure gradient timing data. When a strategy conflict is detected, the optimal control sequence is executed according to the preset safety priority to generate the loading and unloading control strategy; the loading and unloading control strategy is executed to synchronously record and generate a safety audit log, and the safety audit log is fed back to the central control platform in real time to perform a risk situation analysis on the loading and unloading control of the hazardous chemical conveyor.

[0079] Furthermore, the policy formulation unit 15 is configured to execute the following method:

[0080] The loading and unloading control strategy is executed to store the operation events and equipment status of the entire loading and unloading process, and a time series database is established; the time series database is traversed to extract features of abnormal events to obtain an abnormal data feature set; the time series database is highlighted and marked according to the abnormal data feature set to generate an abnormal visual audit report; control security analysis is performed according to the timestamp in the abnormal visual audit report to determine the security audit log.

[0081] Furthermore, the policy formulation unit 15 is configured to execute the following method:

[0082] Retrieve historical accident cases of the loading and unloading control of hazardous chemical conveyors, associate the historical accident cases with safety audit logs, and build a knowledge graph database; traverse the knowledge graph database to learn and identify potential risk patterns; calculate the risk probability distribution data of the loading and unloading control of hazardous chemical conveyors based on the potential risk patterns; feed back the potential risk patterns and the risk probability distribution data to the central control platform. When a new risk pattern is detected, start the online learning mechanism to update the knowledge graph database to output a risk heat map, conduct risk situation analysis, and dynamically display the safety status level.

[0083] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0084] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0085] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A method for controlling the loading and unloading of hazardous chemicals conveyors, characterized in that: The method comprises: Obtain dynamic location data of hazardous chemical conveyors in real time through vehicle-mounted positioning devices; activating an environmental monitoring module of the loading and unloading area according to the dynamic position data, and performing real-time data collection through the environmental monitoring module to obtain a multi-dimensional loading and unloading parameter set; Establishing a double interlocking mechanism, performing loading and unloading determination based on the multi-dimensional loading and unloading parameter set, triggering the double interlocking mechanism according to the determination result, and generating a linkage control instruction; Install an anti-overflow valve group, and when the linkage control instruction is obtained, deploy the anti-overflow control instruction in the liquid level monitoring channel; Based on the loading and unloading time sequence data, the linkage control instruction and the anti-overflow control instruction are associated and integrated to formulate a loading and unloading control strategy, the method comprising: Collect loading and unloading time series data based on the loading and unloading area to obtain loading and unloading time series data, wherein the loading and unloading time series data includes valve opening time series data, pump speed time series data, liquid level height time series data, and pressure gradient time series data; Aligning the triggering conditions of the linkage control instruction and the anti-overflow control instruction in time and space dimensions to establish an instruction association matrix; Extract features from the loading and unloading timing data, divide the loading and unloading phases based on the timing features and map them to an instruction association matrix to generate a multi-phase exclusive control strategy; Executing the multi-stage exclusive control strategy according to the valve opening time series data, the pump speed time series data, the liquid level height time series data, and the pressure gradient time series data; when a strategy conflict is detected, executing the optimal control sequence according to the preset safety priority to generate the loading and unloading control strategy; The loading and unloading control strategy is executed to synchronously record and generate a safety audit log, and the safety audit log is fed back to the central control platform in real time to perform a risk situation analysis on the loading and unloading control of the hazardous chemical conveyor.

2. The method for controlling loading and unloading of hazardous chemicals conveyors according to claim 1, wherein: The dynamic position data of the hazardous chemical conveyor is obtained in real time through the vehicle-mounted positioning device. The method includes: The GPS positioning data of the vehicle-mounted positioning device is integrated with the RFID area identification data of the hazardous chemical conveyor, and multi-mode positioning is performed based on the integration result to determine a composite positioning signal; Set three-dimensional spatial constraints based on the terrain characteristics of the loading and unloading area; Establishing a dynamic electronic fence according to the three-dimensional space constraint condition, performing matching verification on the composite positioning signal based on the dynamic electronic fence, and generating a signal verification result; The signal verification result is added to the dynamic position data.

3. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 2, wherein: Activating an environmental monitoring module of a loading and unloading area according to the dynamic location data, the method includes: Determining whether the composite positioning signal is within the dynamic electronic fence; If the composite positioning signal is not within the dynamic electronic fence, triggering an area crossing alarm of the loading and unloading area; Correcting the dynamic position data of the hazardous chemicals conveyor based on the area crossing alarm; If the composite positioning signal is within the dynamic electronic fence, a loading and unloading monitoring instruction for the hazardous chemicals conveyor is generated; The environmental monitoring module of the loading and unloading area is activated by the loading and unloading monitoring instruction.

4. The method for controlling loading and unloading of hazardous chemicals conveyors according to claim 3, wherein: The environmental monitoring module is used to collect data in real time to obtain a multi-dimensional loading and unloading parameter set, and the method includes: A distributed layout is used to start the pressure sensor array for pressure sensing to obtain pressure values ​​at multiple points in the pipeline; Deploy a temperature gradient monitoring device on the outer wall of the transmission pipeline for temperature sensing and set up a ring temperature measurement node; Install an ultrasonic flow meter to calculate the real-time flow rate of the fluid based on the Doppler effect; The multi-point pressure values ​​in the pipeline, the annular temperature measurement nodes, and the real-time flow rate of the fluid are spatially mapped according to timestamps to obtain the multi-dimensional loading and unloading parameter set of the loading and unloading area.

5. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 4, characterized in that: A double interlocking mechanism is established, loading and unloading determination is performed based on the multi-dimensional loading and unloading parameter set, the double interlocking mechanism is triggered according to the determination result, and a linkage control instruction is generated, the method comprising: Determine the hardware layer and the software layer, build an emergency braking circuit based on the hardware layer, and deploy a PLC logic controller on the software layer; Determine the multi-point pressure values ​​in the pipeline, the annular temperature measurement node, and the real-time flow rate of the fluid through the PLC logic controller; When any dimension parameter exceeds the preset safety threshold, the emergency brake circuit is activated to trigger the valve closing instruction and the pump shutdown instruction; The valve closing instruction and the pump stopping instruction are control-matched to generate a control matching degree, and the linkage control instruction is generated according to the control matching degree.

6. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 1, wherein: Install an anti-overflow valve group, and when the linkage control instruction is obtained, deploy the anti-overflow control instruction in the liquid level monitoring channel, the method includes: Install an anti-overflow valve group at the connection between the delivery pipeline and the storage tank; The liquid level data in the tank is obtained in real time through a multi-source liquid level monitoring device, and the liquid level change rate is calculated based on the liquid level data in the tank; A linkage trigger threshold is set according to the liquid level change rate, and when the liquid level data in the tank reaches the linkage trigger threshold, the anti-overflow control instruction is generated to control the anti-overflow valve group.

7. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 1, wherein: Executing the loading and unloading control strategy to synchronously record and generate a security audit log, the method includes: Execute the loading and unloading control strategy to store the operation events and equipment status of the entire loading and unloading process and establish a time series database; Traversing the time series database to extract features of abnormal events and obtain an abnormal data feature set; Highlighting the time series database according to the abnormal data feature set and generating an abnormal visual audit report; According to the abnormal visual audit report, control security analysis is performed according to the timestamp to determine the security audit log.

8. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 1, wherein: Feedback the security audit log to the central control platform in real time to conduct risk situation analysis on the loading and unloading control of hazardous chemical conveyors, including: Retrieve historical accident cases related to the loading and unloading control of hazardous chemical conveyors, associate these historical accident cases with safety audit logs, and build a knowledge graph database; Traversing the knowledge graph database to learn and identify potential risk patterns; Calculate risk probability distribution data for hazardous chemicals conveyor loading and unloading control based on the potential risk model; The potential risk pattern and the risk probability distribution data are fed back to the central control platform. When a new risk pattern is detected, the online learning mechanism is activated to update the knowledge graph database to output a risk heat map, and a risk situation analysis is performed to dynamically display the safety status level.

9. A loading and unloading control system for hazardous chemicals conveyors, characterized in that: A system for implementing the loading and unloading control method for a hazardous chemicals conveyor according to any one of claims 1 to 8, the system comprising: A first data acquisition unit is used to acquire dynamic position data of the hazardous chemical conveyor in real time through a vehicle-mounted positioning device; a second data acquisition unit, configured to activate an environmental monitoring module of the loading and unloading area according to the dynamic position data, and acquire a multi-dimensional loading and unloading parameter set by performing real-time data collection through the environmental monitoring module; a determination unit, configured to establish a double interlocking mechanism, perform loading and unloading determination based on the multi-dimensional loading and unloading parameter set, trigger the double interlocking mechanism according to the determination result, and generate a linkage control instruction; An instruction deployment unit is used to install an anti-overflow valve group and deploy an anti-overflow control instruction in the liquid level monitoring channel when the linkage control instruction is obtained; A strategy formulation unit is used to associate and integrate the linkage control instruction with the anti-overflow control instruction based on the loading and unloading timing data to formulate a loading and unloading control strategy.

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