Loading and unloading control method and system for hazardous chemical substance conveyor

Abstract

The invention discloses a loading and unloading control method and system for a hazardous chemical substance conveyor, and relates to the technical field of loading and unloading control. The method comprises the following steps: acquiring dynamic position data of a hazardous chemical substance conveyor in real time through a vehicle-mounted positioning device; activating an environment monitoring module of the loading and unloading area according to the dynamic position data, and performing real-time acquisition through the environment monitoring module to obtain 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 a 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; and the linkage control instruction and the anti-overflow control instruction are associated and integrated based on the loading and unloading time sequence data, and a loading and unloading control strategy is formulated. The technical problem that in the prior art, the safety of the dangerous chemical loading and unloading process is low is solved, and the technical effect of improving the safety and reliability of the dangerous chemical loading and unloading process is achieved.

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 chemicals conveyor. Background Art

[0002] In the chemical, petrochemical and other industries, the transportation and handling of hazardous chemicals is an indispensable part of the production process. Traditional loading and unloading control technology is often unable to effectively respond to emergencies and is prone to safety accidents. Most existing loading and unloading control systems rely on manual operation or simple monitoring methods, lacking real-time monitoring, accurate judgment and emergency response mechanisms, especially when facing complex loading and unloading environments and changing operating conditions, which poses a great safety hazard. Especially for the overflow problem, the monitoring of liquid levels in traditional loading and unloading processes is often not precise enough, and there is no effective linkage control mechanism. Once overflow occurs, it may 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 loading and unloading control method for a hazardous chemicals conveyor is provided, the method comprising:

[0005] The dynamic position data of the hazardous chemicals 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 collection is performed 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 is associated and integrated with the anti-overflow control instruction to formulate a loading and unloading control strategy.

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

[0007] The first data acquisition unit is used to acquire 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 obtain a multi-dimensional loading and unloading parameter set by real-time data collection through the environmental monitoring module; the determination unit is used 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; 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 chemicals 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 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. 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, the linkage control instruction is associated and integrated with the anti-overflow control instruction based on the loading and unloading timing data, and a loading and unloading control strategy is formulated. The technical problem of low safety in the hazardous chemicals loading and unloading process in the prior art is solved, and the technical effect of improving the safety and reliability of the hazardous chemicals loading and unloading process is achieved. 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 diagram of the structure of a loading and unloading control system for a hazardous chemicals conveyor provided in an embodiment of the present application.

[0013] Explanation of the accompanying drawings: 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 chemicals loading and unloading process in the prior art by providing a loading and unloading control method and system for a hazardous chemicals conveyor.

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work 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 explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

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

[0018] The dynamic position 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 longitude and latitude position of the hazardous chemical conveyor, while RFID helps identify and enhance the position accuracy through regional identification points, especially in complex or signal-interfered environments. 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 caused by traditional single positioning technology.

[0020] Furthermore, the dynamic position data of the hazardous chemicals conveyor is obtained in real time through 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 space 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 space 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 of the vehicle-mounted positioning device is integrated with the RFID area identification data of the hazardous chemical conveyor. The GPS system provides the real-time geographic location of the hazardous chemical conveyor, while the RFID area identification is used to enhance the accuracy of the location, especially in the detailed location identification of the loading and unloading area; through data fusion, the GPS positioning data is combined with the RFID area identification data, and the hazardous chemical conveyor is accurately located using multi-mode positioning technology to generate a composite positioning signal. Multi-mode positioning technology can optimize location information in multiple dimensions and eliminate the positioning error of a single system by fusing GPS and RFID data. The longitude and latitude information provided by GPS and the area identification information provided by RFID work together to greatly improve the accuracy of positioning. For example, in the loading and unloading area, the RFID identification is used to determine whether the conveyor is close to a specified location or target, while the GPS signal is used to confirm its approximate position in a wide area.

[0023] After obtaining the composite positioning signal, three-dimensional spatial constraints are set according to the terrain characteristics of the loading and unloading area to further improve positioning accuracy and ensure that the hazardous chemicals conveyor is operated within a safe area. The three-dimensional spatial constraints are defined by comprehensively analyzing the physical environment of the loading and unloading area, combining factors such as terrain undulations, obstacle distribution, and spatial structure to define a three-dimensional, dynamically adjusted safe operating area. The terrain characteristics of the loading and unloading area include elevation differences, obstacle locations, distribution of buildings or other facilities, and other ground features that may affect the position of the conveyor (such as inclination or uneven ground). According to 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 the hazardous chemicals conveyor to be moved are set to prevent the conveyor 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 to be moved is set to ensure that it remains stable during operation and does not tilt or lose control due to uneven ground.

[0024] According to the constraints of three-dimensional space, a dynamic electronic fence is established. The dynamic electronic fence is a real-time updated virtual boundary that can be dynamically adjusted according to the position of the conveyor. When the composite positioning signal of the hazardous chemical conveyor enters or approaches the electronic fence, the system will match and verify the signal; if the composite positioning signal meets the restrictions of the electronic fence, it will pass the verification and generate a valid signal verification result. Finally, the signal verification result is added to the dynamic position data and used as the basic data for subsequent loading and unloading control, monitoring and safety analysis. This process can ensure that the position of the hazardous chemical conveyor is always within the monitoring range, and can determine in real time whether it deviates from the safe area, thereby effectively improving the safety and accuracy of the loading and unloading process.

[0025] The environment 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 environment monitoring module to obtain a multi-dimensional loading and unloading parameter set.

[0026] When the dynamic position data of the hazardous chemicals conveyor determines that it is located in the loading and unloading area, the system will automatically activate the environmental monitoring module of the corresponding area based on this position data and start real-time collection of relevant environmental parameters. The environmental monitoring module monitors multiple environmental parameters of the loading and unloading area in real time through sensor arrays, flow meters, temperature sensors and other equipment to obtain a multi-dimensional loading and unloading parameter set. This data set will include information in multiple dimensions such as pressure, temperature, and flow.

[0027] Furthermore, according to the dynamic position data, an environmental monitoring module of the loading and unloading area is activated, and the method 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 will determine whether the composite positioning signal is within the dynamic electronic fence. The dynamic electronic fence is a virtual boundary set in real time according to the actual terrain and operation requirements of the loading and unloading area. It will be dynamically adjusted as the dynamic position of the hazardous chemical conveyor changes. If the composite positioning signal is within the restricted range of the electronic fence, the system believes that the hazardous chemical conveyor is in a safe operating area and continues to perform subsequent operations; if the composite positioning signal is not within the electronic fence, it will trigger an area out-of-bounds alarm, alerting the system that the hazardous chemical conveyor may have entered an unpredicted dangerous area or an out-of-bounds area. When the area out-of-bounds alarm is triggered, the system will correct the dynamic position data of the hazardous chemical conveyor. By further verifying and calculating its actual position, the system will correct the original data to ensure that the position of the conveyor is accurate and meets the requirements of the safe area. This correction process may include re-evaluating the composite positioning signal, comparing with other sensor data, or adjusting the preset position range according to the actual situation of the loading and unloading area. When the composite positioning signal verifies that it is within the dynamic electronic fence, the system will generate a loading and unloading monitoring instruction for the hazardous chemicals conveyor. This instruction is used to start the environmental monitoring module in the loading and unloading area, instructing it to start real-time collection and monitoring of key parameters in the loading and unloading process, such as pressure, temperature, flow, etc. Through the loading and unloading monitoring instruction, the environmental monitoring module is activated to perform precise data collection, ensuring real-time tracking and control of all environmental factors during the loading and unloading process.

[0030] Furthermore, 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:

[0031] A distributed layout is adopted to start the pressure sensor array for pressure sensing to obtain the pressure values ​​at multiple points 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 the timestamps to obtain the multi-dimensional loading and unloading parameter set of the loading and unloading area.

[0032] First, the system uses a distributed layout to start the pressure sensor array for pressure sensing in order to monitor multiple pressure values ​​in the pipeline in real time. These pressure sensors will be arranged at different locations in the pipeline to obtain real-time pressure data at multiple points in the pipeline. By monitoring multiple pressure points, the changes in the internal pressure of the pipeline can be accurately grasped, and the pressure fluctuations or abnormally high pressure that may exist in the pipeline can be discovered in time, which is crucial for preventing pipeline leakage or equipment damage. Secondly, the system deploys a temperature gradient monitoring device on the outer wall of the pipeline for temperature sensing. By setting up an annular temperature measurement node, the system can monitor the temperature distribution of the fluid at different pipeline locations. The annular temperature measurement node can provide accurate temperature data to ensure that the temperature is always within a safe range during loading and unloading. In addition, the system will also install an ultrasonic flowmeter to calculate the flow rate of the fluid in real time based on the Doppler effect. The ultrasonic flowmeter measures the flow velocity of the fluid in the pipeline by transmitting and receiving ultrasonic signals, and calculates the real-time flow data based on the Doppler effect. These flow data can help determine the flow of the liquid during the transportation process, ensure that the flow is within the expected range, and avoid overflow or poor transportation due to improper flow. Finally, the system spatially maps the multi-point pressure values ​​in the pipeline, the temperature data of the annular temperature measurement nodes, and the real-time flow data of the fluid according to the timestamp; the spatial mapping process is to combine these environmental data of different dimensions to create a unified loading and unloading area environmental data set. By synchronizing the data through the timestamp, the system can comprehensively analyze the various parameters in the entire loading and unloading process and obtain a multi-dimensional loading and unloading parameter set, which includes multiple environmental data dimensions such as pressure, temperature, and flow, providing a comprehensive reference for subsequent loading and unloading judgments, risk assessments, and control strategy formulation.

[0033] 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.

[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 judges and links data from different dimensions to achieve higher safety guarantees.

[0035] Based on the multi-dimensional loading and unloading parameter set (such as pressure, temperature, flow, etc.) collected in real time, the system will make loading and unloading judgments, that is, evaluate whether the current operation is in a safe state based on these environmental data. When any dimension parameter exceeds the preset safety threshold, the system will regard it as a potential risk. At this time, the double interlocking mechanism will be activated to generate a linkage control command, that is, to simultaneously trigger the valve closing 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, build 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, start 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 according to the control matching degree.

[0038] A double interlocking mechanism is built on the hardware and software layers. The hardware layer includes multiple sensors, actuators (such as valves and pumps), and emergency brake circuits. The sensors are responsible for real-time collection of multi-dimensional loading and unloading parameters in the loading and unloading area, such as pressure data, temperature data, and flow data in the pipeline; the actuators perform related operations according to control instructions (for example, closing valves and stopping pumps); the emergency brake circuit is used to quickly take safety measures in an emergency to prevent further accidents. The software layer deploys a programmable logic controller (PLC) to process the data collected by the sensors and execute judgments to generate linkage control instructions.

[0039] The PLC receives multi-dimensional loading and unloading parameter data from the environmental monitoring module, such as multi-point pressure values ​​in the pipeline, temperature data of the annular temperature measurement node, and real-time flow data of the fluid; the PLC compares the data fed back by the sensor according to the preset safety threshold. If any parameter (such as pressure, temperature or flow) is found to exceed the preset safety range, the PLC will determine that there is a potential risk in the current loading and unloading process and trigger the double interlocking mechanism. When the PLC logic controller determines that a certain loading and unloading parameter (such as pressure, temperature, flow, etc.) exceeds the safety range, the system will start the emergency braking circuit at the hardware layer and issue a valve closing command and a pump shutdown command. Valve closure is used to cut off fluid transportation and prevent leakage of hazardous chemicals; pump shutdown is to avoid excessive pressure or excessive flow in the pipeline, which in turn causes other potential safety hazards. In this process, the system will perform control matching and generate control matching according to the execution priority and response speed of valve closure and pump shutdown. Control matching refers to the matching degree 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 the change of valve opening and closing angle and the adjustment of pump speed to ensure that they work in a coordinated manner to avoid excessive flow or pressure fluctuations. Specifically, the opening and closing angle of the valve 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 The functions that represent the control behaviors of valves and pumps, respectively. Usually, these two functions are fitted according to flow, pressure and temperature data. The closer the calculation result is to 0, the higher the matching degree between the valve opening and closing angle and the pump speed, and the more coordinated the control behavior; on the contrary, if the matching degree is close to 1, it means that the synergy between the two is weak, and there may be a risk of asynchrony.

[0040] Generate linkage control instructions based on the control matching degree. For example, if the control matching degree is high, the system may give priority to executing the valve closing and pump shutdown instructions to ensure that both reach a safe state in the shortest time; if the control matching degree is low, the system may adjust the valve opening and closing angle or the pump speed to ensure that the actions of the two achieve better coordination to avoid excessive pressure fluctuations or flow shocks during the shutdown process. The PLC logic controller controls the actions of the valves and pumps based on the generated linkage control instructions to ensure that they are executed in a coordinated manner to avoid 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 group is installed at the connection between the hazardous chemical delivery pipeline and the storage tank as a key control node for liquid flow. The overflow prevention valve group consists of a main valve and a redundant backup valve, which is designed to ensure that when the liquid exceeds the safe level, emergency measures can be taken quickly to prevent overflow. Specifically, when the system obtains the linkage control command, the overflow prevention control command will be deployed through the liquid level monitoring channel to ensure that the liquid level in the storage tank is always 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, the overflow prevention valve group is installed at a key position between the conveying pipeline and the storage tank. The overflow prevention valve group includes a main valve and a redundant backup valve, which work together to ensure that when the liquid level exceeds the safety range, the channel for the liquid to flow into the storage tank can be cut off by closing the valve or adjusting the opening, thereby preventing the liquid from overflowing. The installation position of the valve group is crucial, which ensures that the valve can respond in the first time during the liquid delivery process, thereby preventing the liquid from overflowing into the external environment. Next, the system monitors the liquid level changes inside the storage tank in real time through multi-source liquid level monitoring devices. These liquid level monitoring devices include liquid level sensors and liquid level change rate sensors, which can provide accurate data on the liquid level in the tank. After obtaining the real-time liquid level data, the system calculates the liquid level change rate, which indicates the speed at which the liquid level rises or falls, and is an important indicator for determining whether there is an overflow risk. If the liquid level change rate is too fast, it means that the liquid quickly fills the storage tank and may exceed the preset safety level. The system sets a linkage trigger threshold based on the rate of change of the liquid level in the tank. This threshold is determined based on the historical data of the liquid level change, the liquid characteristics, and the safety requirements during operation. When the rate of change of the liquid level reaches or exceeds the linkage trigger threshold, the system will automatically generate an anti-overflow control instruction, which will be immediately transmitted to the anti-overflow valve group to prevent the liquid level from continuing to rise by controlling the action of the valve, thereby avoiding the occurrence of overflow. The main valve or redundant backup valve of the anti-overflow valve group will respond immediately, close the valve or adjust the valve opening, cut off the inflow of liquid, and ensure that the liquid level is within a safe range.

[0046] 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.

[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 the hazardous chemicals conveyor, including but not limited to valve opening time series data, pump speed time series data, liquid level height time series data, pressure gradient time series data in the pipeline, etc. 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, and ensure that the execution status of the system at each stage is fed back in real time.

[0048] After obtaining the loading and unloading time series data, the system will extract features from the data and identify the key stages in the loading and unloading process. For example, at key moments such as when the liquid level approaches the preset threshold, the valve is adjusted, or the pump speed changes, the system will automatically generate corresponding linkage control instructions or anti-overflow control instructions. At this time, through the association of time series data, the linkage control instructions and anti-overflow control instructions will be integrated together to form an efficient and accurate loading and unloading control strategy.

[0049] Furthermore, the linkage control instruction is associated and integrated with the anti-overflow control instruction based on the loading and unloading timing 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 obtained, and the loading and unloading timing data includes valve opening timing data, pump speed timing data, liquid level height timing data, and pressure gradient timing data; the linkage control instruction and the triggering condition of the overflow prevention control instruction 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 risk situation analysis on the loading and unloading control of the hazardous chemicals conveyor.

[0051] First, the system will collect time series data in the loading and unloading area, including valve opening, pump speed, liquid level, and pressure gradient in 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 in the pipeline during loading and unloading. For example, the valve opening time series data can reflect the flow regulation process in the pipeline, the pump speed time series data indicates the working status of the pump under different loads, the liquid level time series data can monitor the liquid level changes in the storage tank in real time, and the pressure gradient time series data can help determine the pressure fluctuations in the pipeline and promptly detect potential leakage risks.

[0052] After obtaining these loading and unloading timing data, the system aligns the triggering conditions of the linkage control instructions with the anti-overflow control instructions in the time and space dimensions. Specifically, the system first manages the triggering conditions of all instructions in a unified manner and maps these conditions into an instruction association matrix. This matrix can clearly identify the execution priority, triggering timing and mutual relationship of different control instructions, ensuring that all control instructions can be accurately triggered and executed in each loading and unloading stage. Next, the system will perform feature extraction based on the real-time loading and unloading timing data to identify the key operation stages in the loading and unloading process. For example, when the liquid level approaches the preset threshold, the anti-overflow control instruction will be activated, prompting the anti-overflow valve group to work to avoid liquid overflow; during the operation of the pump, the system will monitor the changes in the pump speed and pressure gradient. When the pump is found to be operating abnormally, the linkage control instruction will be automatically triggered to cut off the pump or close the valve to prevent possible equipment damage or safety accidents. Each key stage will be mapped to the instruction association matrix to generate an exclusive control strategy matching that stage.

[0053] When the system detects that multiple control instructions are triggered at the same time, conflicts or priority issues may occur between the instructions. For example, when the anti-overflow instruction and the linkage control instruction are triggered at the same time, the system will handle the conflict according to the preset priority. Generally, the anti-overflow control instruction has a higher priority because preventing liquid overflow is an urgent safety task, while the linkage control instruction involves the adjustment and protection of the equipment and is usually executed when no safety incident occurs. The system determines the optimal control sequence through the preset safety priority rules to ensure that all operations can be carried out synchronously in a safe manner. Finally, the system will execute the established multi-stage exclusive control strategy, and synchronously record every operation event and equipment status during the loading and unloading process, and generate a safety audit log. These safety audit logs contain information such as the execution of each control instruction, changes in equipment status, and the occurrence of abnormal events, providing important data support for subsequent risk analysis and decision-making. At the same time, the safety audit log will be fed back to the central control platform in real time to provide operators with a comprehensive risk situation analysis, evaluate the safety of current operations, and take preventive measures or initiate emergency responses in a timely manner.

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

[0055] 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; traverse the time series database to extract features of abnormal events and obtain an abnormal data feature set; highlight the time series database according to the abnormal data feature set and generate an abnormal visual audit report; perform control security analysis according to the timestamp in the abnormal visual audit report to determine the security audit log.

[0056] First, the system will record all operation events and equipment status in the whole process of loading and unloading in real time according to the executed loading and unloading control strategy. These records include but are not limited to changes in valve opening, adjustment of pump speed, changes in liquid level, fluctuations in pressure gradient, etc. Each event will be assigned a timestamp to form a complete operation log. These operation logs and the real-time status information of the equipment will be stored in a time series database for subsequent query, analysis and processing. Then, the system will traverse the data stored in the time series database, especially extracting features of possible abnormal events, which may include equipment failure, parameter fluctuations exceeding the safety threshold, system misoperation, etc. By applying data mining technology, the system can identify the characteristics of abnormal data and generate abnormal data feature sets. These abnormal features may involve abnormal fluctuations in key operating parameters such as valve opening, pump speed, and liquid level change rate, or equipment behavior outside the preset safety threshold. After extracting the abnormal data features, the system will highlight the time series database according to these features and generate an abnormal visual audit report. Through this report, operators or managers can quickly identify abnormal events in the loading and unloading process. These abnormal visualization reports usually include graphical presentation forms, such as curves, bar graphs or heat maps, which intuitively show the time distribution of abnormal events, the severity of events and possible impacts on system security. Finally, the system will perform control safety analysis according to the timestamp based on the content in the abnormal visualization audit report. Through control safety analysis, the system can deeply analyze the cause, background and potential safety impact of each abnormal event, and generate corresponding security audit logs. These security audit logs record the specific circumstances of the abnormal event, the time of the event, the control instructions triggered, the emergency measures taken, and other information, and will be fed back to the central control platform to provide decision support for risk situation 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 hazardous chemicals conveyor loading and unloading control, 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 hazardous chemicals conveyor loading and unloading control based on the potential risk patterns; feed back the potential risk patterns and the risk probability distribution data to the central control platform, and when a new risk pattern is detected, start the online learning mechanism to update the knowledge graph database to output the risk heat map, conduct risk situation analysis, and dynamically display the safety status level.

[0059] The system retrieves historical accident cases that occurred during the loading and unloading control process of hazardous chemicals conveyors. These cases record equipment failures, safety hazards, or other abnormal events that may have occurred in the past. By associating these historical accident cases with the real-time generated safety audit logs, a knowledge graph database is constructed. The knowledge graph database links historical accident cases with various events, operations, and parameters in the loading and unloading control process to form a graph that can represent the relationship between system knowledge, equipment behavior, and potential risks.

[0060] After establishing the knowledge graph database, the system will traverse and learn it to identify potential risk patterns, which may be safety hazards caused by equipment failure, improper operation, environmental changes, etc. Through deep learning or pattern recognition algorithms, the system can extract implicit risk patterns from historical accident cases and real-time audit logs, and classify and label them. Next, the system will calculate the risk probability distribution data that may occur in the loading and unloading control process based on the identified potential risk patterns. This process generates risk probabilities under different risk modes by analyzing the frequency, influencing factors and current operating conditions of historical accidents. These probability values ​​represent the possibility of different risk events. The system quantifies them and outputs them as risk probability distribution data, which provides a quantitative basis for evaluating the safety status of the current operation, and can help operators understand the possibility of various risks and take corresponding preventive measures. Then, the system feeds these potential risk patterns and risk probability distribution data back to the central control platform in real time, and provides them to managers for further risk situation analysis. The central control platform can dynamically display the safety status level of the system in the form of risk heat maps. These heat maps will mark different levels of safety status according to different risk patterns and probability distributions, and show which areas or links have higher risks 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 conditions.

[0061] On this basis, when the system detects a new risk pattern, it can start the 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, and improve the 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 chemicals 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 to help them adjust operating strategies, optimize control systems, and formulate emergency response plans in a timely manner to minimize safety hazards during the hazardous chemicals conveyor loading and unloading process, and ensure the safety and stability of the entire operation process.

[0062] Optionally, a probability model is used to quantify the risk. Common models include Bayesian networks, Markov processes, Monte Carlo simulations, etc. These models can generate probability distributions under each risk mode by inputting historical data, influencing factors, and real-time operating conditions. Bayesian networks are particularly suitable for handling multivariate dependencies. They can infer the conditional probability of an accident from known historical data and existing conditions. Markov processes can model the state transition of equipment, considering the transition of equipment from normal state to fault state, and evaluate the risk probability 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, operating time, etc.) with the probability of failure in 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 modes and outputs them as risk probability distribution data, which reflects the probability of each potential risk event and can provide clear warning information to operators. For example, the system may output the following results: under current operating conditions, the probability of equipment failure is 10%, the probability of overflow is 2%, the probability of leakage is 5%, etc.

[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 chemicals 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 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. 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, the linkage control instruction is associated and integrated with the anti-overflow control instruction based on the loading and unloading timing data, and a loading and unloading control strategy is formulated. The technical problem of low safety in the hazardous chemicals loading and unloading process in the prior art is solved, and the technical effect of improving the safety and reliability of the hazardous chemicals loading and unloading process is achieved.

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

[0066] The first data acquisition unit 11 is used to acquire 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 obtain a multi-dimensional loading and unloading parameter set by real-time data collection through the environmental monitoring module; 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 used 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 space 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 space 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 used 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 used to execute the following method:

[0072] A distributed layout is adopted to start the pressure sensor array for pressure sensing to obtain the pressure values ​​at multiple points 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 the timestamps to obtain the multi-dimensional loading and unloading parameter set of the loading and unloading area.

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

[0074] Determine the hardware layer and the software layer, build 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, start 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 according to the control matching degree.

[0075] Furthermore, the instruction deployment unit 14 is used 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 strategy formulation unit 15 is used to execute the following method:

[0078] Based on the loading and unloading area, loading and unloading timing data are obtained, and the loading and unloading timing data includes valve opening timing data, pump speed timing data, liquid level height timing data, and pressure gradient timing data; the linkage control instruction and the triggering condition of the overflow prevention control instruction 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 risk situation analysis on the loading and unloading control of the hazardous chemicals conveyor.

[0079] Furthermore, the strategy formulation unit 15 is used to execute the following method:

[0080] 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; traverse the time series database to extract features of abnormal events and obtain an abnormal data feature set; highlight the time series database according to the abnormal data feature set and generate an abnormal visual audit report; perform control security analysis according to the timestamp in the abnormal visual audit report to determine the security audit log.

[0081] Furthermore, the strategy formulation unit 15 is used to execute the following method:

[0082] Retrieve historical accident cases of hazardous chemicals conveyor loading and unloading control, 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 hazardous chemicals conveyor loading and unloading control based on the potential risk patterns; feed back the potential risk patterns and the risk probability distribution data to the central control platform, and when a new risk pattern is detected, start the online learning mechanism to update the knowledge graph database to output the risk heat map, conduct risk situation analysis, and dynamically display the safety status level.

[0083] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some 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 substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0085] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for controlling loading and unloading of hazardous chemicals conveyors, characterized in that: The method comprises: The dynamic location data of hazardous chemical conveyors can be obtained in real time through the vehicle-mounted positioning device; 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 timing data, the linkage control instruction and the anti-overflow control instruction are associated and integrated to formulate a loading and unloading control strategy.

2. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 1, characterized in that: The dynamic position data of the hazardous chemicals conveyor is obtained in real time through the vehicle-mounted positioning device, and the method includes: 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 according to 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 loading and unloading control method for a hazardous chemicals conveyor according to claim 2, characterized in that: Activating an environmental monitoring module of a loading and unloading area according to the dynamic position data, the method comprising: Determining whether the composite positioning signal is within the dynamic electronic fence; If the composite positioning signal is not within the dynamic electronic fence, an area crossing alarm of the loading and unloading area is triggered; Performing position correction on 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 conveyor according to claim 3, characterized in that: Real-time data collection is performed by the environmental monitoring module 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-shaped temperature measurement node; Install ultrasonic flowmeter to calculate the real-time flow rate of fluid based on 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 the 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 a hardware layer and a software layer, construct 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 command and the pump shutdown command; 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, characterized in that: 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 loading and unloading control method for a hazardous chemicals conveyor according to claim 1, characterized in that: Based on the loading and unloading time sequence data, the linkage control instruction is associated and integrated with the anti-overflow control instruction to formulate a loading and unloading control strategy, the method comprising: Perform loading and unloading timing collection based on the loading and unloading area to obtain loading and unloading timing data, wherein the loading and unloading timing data includes valve opening timing data, pump speed timing data, liquid level height timing data, and pressure gradient timing 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 according to the loading and unloading timing data, divide the loading and unloading stages based on the timing features and map them to the instruction association matrix, and generate a multi-stage exclusive control strategy; Execute the multi-stage exclusive control strategy 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, execute 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 conduct a risk situation analysis on the loading and unloading control of the hazardous chemicals conveyor.

8. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 7, characterized in that: 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; According to the abnormal data feature set, the time series database is highlighted and marked to generate 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.

9. The method for controlling loading and unloading of hazardous chemicals conveyor according to claim 7, characterized in that: Feedback the safety audit log to the central control platform in real time to conduct risk situation analysis on the loading and unloading control of hazardous chemicals conveyors, including: Retrieve historical accident cases of loading and unloading control of hazardous chemicals conveyors, associate the 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 the risk probability distribution data of hazardous chemicals conveyor loading and unloading control according to 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 the risk heat map, and the risk situation analysis is performed to dynamically display the safety status level.

10. 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 9, the system comprising: A first data acquisition unit, used to acquire dynamic position data of the hazardous chemicals conveyor in real time through a vehicle-mounted positioning device; A second data acquisition unit is used to activate an environmental monitoring module of the loading and unloading area according to the dynamic position data, and to obtain a multi-dimensional loading and unloading parameter set by performing real-time data collection through the environmental monitoring module; A determination unit, used for 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; An 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; 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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