An automatic production system for magnesium alloy workshop based on AGV automatic transportation

Abstract

The present invention discloses an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, which relates to the technical field of AGV, including a safety monitoring and alarm module, which is used to monitor the state of a crucible and the driving condition of an AGV in real time, and adjust the driving of the AGV according to the state of the crucible; the safety monitoring and alarm module includes: an intelligent sensing unit, an intelligent analysis unit, and an execution adjustment unit, wherein the intelligent sensing unit is connected to the intelligent analysis unit through a signal, and the intelligent analysis unit is connected to the execution adjustment unit through a signal. The present invention realizes the smooth transportation of the crucible and the alarm function of abnormal crucible state by designing a safety monitoring and alarm module, realizes comprehensive monitoring of the crucible transportation process, and improves the safety of the production process.

Description

Technical Field

[0001] The present invention relates to the technical field of AGVs, and in particular to an automatic production system for a magnesium alloy workshop based on AGV automatic transportation. Background Art

[0002] With the widespread application of magnesium alloys in aerospace, automobile manufacturing and other fields, people's requirements for the production efficiency and quality of magnesium alloys are constantly increasing. In the traditional magnesium alloy production process, the transportation process of crucibles is cumbersome, requiring multiple handling and waiting, which affects production efficiency. In addition, molten magnesium water has the characteristics of high temperature, flammability and explosion. Traditional transportation methods are prone to safety accidents such as magnesium liquid overflow or crucible dumping.

[0003] The use of AGV for automatic transportation of molten magnesium water crucibles can significantly reduce manual handling time, improve production efficiency, reduce the risk of human errors and accidents, and provide a safer and more reliable production environment for magnesium alloy production.

[0004] Traditional AGV systems can usually only perform simple navigation and transportation tasks, and cannot adjust the AGV driving status according to the real-time status of the crucible, which may lead to instability and shaking during transportation, increasing the risk of magnesium liquid overflow or crucible tipping. When the crucible status is abnormal, the alarm signal cannot be issued in time, which may lead to safety accidents.

[0005] 1. Patent document CN114570894B discloses an aluminum alloy casting workshop and its production scheduling method. The above patent realizes the efficient lean manufacturing of multiple varieties and small batches of castings for high-end equipment such as aerospace, but the above patent cannot realize the smooth transportation of crucibles and the alarm function of abnormal crucible status.

[0006] 2. Patent document CN117555307B discloses a multi-source heterogeneous production data acquisition system for aluminum alloy components. The above patent realizes the data acquisition of multi-source heterogeneous data from different manufacturers, different equipment, different controllers, and different protocols in the workshop, but the above patent cannot realize the route planning function of AGV.

[0007] 3. Patent document CN115026595B discloses an automated precision machining workshop. The above patent realizes the traceability of structural parts machining quality, which can be traced back to the machining time, machining equipment, machining tools, and machining transparency, thereby improving the machining quality of the workpiece. However, the above patent cannot realize the safe obstacle avoidance function of AGV.

[0008] 4. Patent document CN110427004B discloses an intelligent management system for an intelligent spinning workshop. The above patent realizes the automated production and transportation control from raw materials to finished products and the online monitoring and control of product quality and output, but the above patent cannot realize the speed adjustment function of AGV in key areas.

[0009] In summary, the above patents cannot realize the smooth transportation of crucibles and the alarm function of abnormal crucible status, the route planning function of AGV, the safe obstacle avoidance function of AGV, and the speed adjustment function of AGV in key areas, which leads to the problems of unstable route of AGV, collision with obstacles, sharp turns, and crucible dumping or magnesium liquid overflow during driving;

[0010] To this end, the present application proposes an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, which can realize the smooth transportation of crucibles and the alarm function of abnormal crucible status, the route planning function of AGV, the safe obstacle avoidance function of AGV, and the speed adjustment function of AGV in key areas. Summary of the invention

[0011] The purpose of the present invention is to provide an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, so as to solve the technical problems proposed in the above background technology that the smooth transportation of the crucible and the alarm function of the abnormal crucible state, the route planning function of the AGV, the safety obstacle avoidance function of the AGV, and the speed adjustment function of the AGV in key areas cannot be realized, resulting in the AGV having an unstable route during driving, colliding with obstacles, and making sharp turns, causing the crucible to tip over or magnesium liquid to overflow.

[0012] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, comprising a safety monitoring and alarm module, the safety monitoring and alarm module being used to monitor the state of the crucible and the driving condition of the AGV in real time, and adjusting the driving of the AGV according to the state of the crucible;

[0013] The safety monitoring and alarm module includes: an intelligent sensing unit, an intelligent analysis unit and an execution adjustment unit, wherein the intelligent sensing unit is connected to the intelligent analysis unit through a signal, and the intelligent analysis unit is connected to the execution adjustment unit through a signal;

[0014] The intelligent sensing unit collects and records the state data of the crucible's tilt angle, vibration frequency and weight change in real time through sensors installed on the crucible and the AGV, and monitors the speed, steering angle and battery status of the AGV in real time;

[0015] The intelligent analysis unit receives the collected data, analyzes and judges the state of the crucible through a preset recognition algorithm, identifies the potential risk of the crucible tipping over and the magnesium liquid overflowing, generates a decision to adjust the AGV driving speed and steering angle, sets a threshold, compares the collected data with the threshold, and generates an alarm signal when the collected data exceeds the threshold;

[0016] The execution adjustment unit adjusts the driving parameters of the AGV according to the instructions, adjusts the driving status of the AGV in real time, and immediately triggers the alarm mechanism after receiving the alarm signal, and reminds the operator through sound and light alarms and SMS notifications.

[0017] Preferably, the safety monitoring and alarm module is connected to a walking module through a signal, and the walking module is used for accurate navigation and positioning of the AGV to stably and accurately transport the crucible in a complex workshop environment;

[0018] The walking module includes: a real scene scanning unit, a path planning unit and a positioning navigation unit, the real scene scanning unit is connected to the path planning unit through a signal, and the path planning unit is connected to the positioning navigation unit through a signal;

[0019] The real-scene scanning unit uses laser radar to perform 3D scanning of the workshop environment, obtain real-time data on the workshop terrain environment, obstacle locations, and crucible placement points, and converts the scanned data into a digital model and map of the workshop environment through image recognition technology, and transmits environmental data;

[0020] The path planning unit receives workshop environment data, calculates the driving path based on the environment data, analyzes the safety and stability of the path, selects the optimal and suboptimal paths for the AGV from the starting point to the end point, and outputs the planned path information;

[0021] The positioning and navigation unit controls the AGV to travel along the predetermined path according to the path information, obtains the location information of the AGV in real time, and adjusts the driving trajectory and steering action of the AGV based on the path information and location information.

[0022] Preferably, the safety monitoring and alarm module is connected to a safety obstacle avoidance module through signals, and the safety obstacle avoidance module is connected to a walking module through signals, and the safety obstacle avoidance module is used for obstacle avoidance during the driving process of the AGV;

[0023] The safety obstacle avoidance module includes: an obstacle detection unit, a strategy formulation unit and a feedback and adjustment unit, the obstacle detection unit is connected to the strategy formulation unit through a signal, the strategy formulation unit is connected to the feedback and adjustment unit through a signal, the strategy formulation unit is connected to the intelligent perception unit through a signal, and the feedback and adjustment unit is connected to the path planning unit through a signal;

[0024] The obstacle detection unit uses infrared sensors to monitor the environment around the AGV in real time, sense the distance and direction of obstacles near the AGV, detect the size of obstacles, and record and store obstacle data;

[0025] The strategy formulation unit comprehensively analyzes obstacle data and crucible status data, determines the impact of obstacles on AGV driving, and formulates obstacle avoidance strategies;

[0026] The feedback and adjustment unit controls the driving speed and direction of the AGV according to the obstacle avoidance strategy instructions, performs obstacle avoidance operations, feeds back the obstacle avoidance operations to the system, notifies the system to re-plan the route, and in an emergency, triggers the emergency braking mechanism of the AGV to stop the AGV in the shortest time.

[0027] Preferably, the safety monitoring and alarm module is connected to a speed control module through signals, the speed control module is connected to a walking module and a safety obstacle avoidance module through signals, and the speed control module is used to adjust the driving speed of the AGV;

[0028] The speed control module includes: a path identification unit, a speed decision unit and a speed execution unit, the path identification unit is connected to the speed decision unit through a signal, the speed decision unit is connected to the speed execution unit through a signal, the path identification unit is connected to the real scene scanning unit through a signal, and the speed decision unit is connected to the intelligent perception unit through a signal;

[0029] The path recognition unit identifies the path type of the AGV based on the workshop environment data, including straight line, turning, uphill and downhill;

[0030] The speed decision unit formulates the speed adjustment strategy of the AGV in the key areas of turning, uphill and downhill according to the path type information and the driving speed of the AGV, and issues a speed reduction instruction;

[0031] The speed execution unit controls the AGV's drive system according to the instructions, and adjusts the AGV's travel speed when the AGV reaches the critical areas of turning, uphill and downhill.

[0032] Preferably, the safety monitoring and alarm module is connected to a fixing and locking module via a signal, and the fixing and locking module is used to fix the crucible on the AGV;

[0033] The fixing and locking module includes: a locking unit, a state monitoring unit and an abnormality handling unit, the locking unit is electrically connected to the state monitoring unit, and the state monitoring unit is connected to the abnormality handling unit through signals;

[0034] The locking unit performs a locking operation, controls the clamp on the AGV to gradually close, contact the outer wall of the crucible, activates the electric locking bolt, and locks the clamp and the crucible;

[0035] The state monitoring unit uses a pressure sensor and a position sensor to monitor the locking state of the crucible in real time, and collects the pressure data between the crucible and the fixture and the position data of the crucible;

[0036] The exception handling unit analyzes the data based on the pressure data and position data using a preset algorithm to determine the locking state of the crucible. If it detects abnormal locking state conditions such as insufficient locking force and crucible position deviation, it triggers the exception handling mechanism and performs the locking operation again.

[0037] Preferably, the safety monitoring and alarm module is connected to a monitoring and management module via a signal, and the monitoring and management module is used for remote monitoring of the AGV driving process;

[0038] The monitoring and management module includes a data storage unit and a remote monitoring unit, and the data storage unit is connected to the remote monitoring unit via Bluetooth;

[0039] The data storage unit collects, stores and processes real-time data from AGVs and sensors, establishes a database, provides data backup, recovery and deletion functions, and regularly detects and maintains the database;

[0040] The remote monitoring unit retrieves the corresponding data from the database according to user needs, processes and analyzes the data and displays it to the user, allowing the user to view the operating status and task progress of the AGV in real time through the remote interface.

[0041] Preferably, a task management module is designed in the safety monitoring and alarm module, and the task management module receives production tasks from the production system and performs task scheduling and optimization according to the current state of the AGV, the workshop environment and the task priority.

[0042] Preferably, a communication and network module is designed in the security monitoring and alarm module, and the communication and network module is responsible for coordinating the communication and data exchange between various modules.

[0043] Preferably, the method of use comprises the following steps:

[0044] S1. AGV transports the crucible to the pouring room and die-casting room. The walking module plans the optimal driving path from the melting room to the pouring room and die-casting room in the magnesium alloy workshop, and the AGV transports according to the optimal driving path;

[0045] S2: During AGV transportation, an obstacle suddenly breaks into the AGV's driving path, and the safety obstacle avoidance module avoids the obstacle in time;

[0046] S3. The safety monitoring and alarm module monitors the crucible status in real time and triggers the alarm mechanism for abnormal crucible status.

[0047] Preferably, the method of use further comprises the following steps:

[0048] S11. The crucible is hoisted from the melting furnace to the AGV, the fixing and locking module locks the crucible, and the locking state is monitored;

[0049] S21. In the uphill, downhill and turning areas in the magnesium alloy workshop, the speed control module controls the AGV to adjust the driving speed;

[0050] S31. The operator queries data through the monitoring and management module to understand the operating status, location information, and task completion status of the AGV.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. The present invention is designed with a safety monitoring and alarm module to achieve smooth transportation of the crucible and alarm function of abnormal crucible status, realize comprehensive monitoring of the crucible transportation process, and improve the safety of the production process;

[0053] 2. The present invention realizes the route planning function of AGV by designing a walking module, thereby improving production efficiency and safety, solving the problem of instability of the crucible caused by inaccurate manual route planning, and improving transportation efficiency;

[0054] 3. The present invention realizes the safety obstacle avoidance function of AGV by designing a safety obstacle avoidance module, improves the safety and stability of the transportation process, solves the problem that the AGV cannot avoid obstacles in time when encountering obstacles during transportation, and ensures the stability of the crucible during transportation;

[0055] 4. The present invention realizes the speed adjustment function of AGV in key areas by designing a speed control module, solves the problem of crucible tipping or magnesium liquid overflowing due to excessive speed of AGV at turns, and achieves a balance between production efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the safety monitoring and alarm module of the present invention;

[0057] Figure 2 It is a schematic diagram of the walking module of the present invention;

[0058] Figure 3 It is a schematic diagram of a safety obstacle avoidance module of the present invention;

[0059] Figure 4 It is a schematic diagram of a speed control module of the present invention;

[0060] Figure 5 It is a schematic diagram of the fixing and locking module of the present invention;

[0061] Figure 6It is a schematic diagram of the monitoring and management module of the present invention;

[0062] Figure 7 It is a schematic diagram of the working process of the safety monitoring and alarm module of the present invention;

[0063] Figure 8 Schematic diagram of the system workflow of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] Embodiment 1,

[0066] See also Figure 1 , Figure 7 and Figure 8 , an embodiment provided by the present invention: an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, comprising a safety monitoring and alarm module, the safety monitoring and alarm module is used to monitor the state of the crucible and the driving condition of the AGV in real time, and adjust the driving of the AGV according to the state of the crucible;

[0067] The safety monitoring and alarm module includes: an intelligent sensing unit, an intelligent analysis unit and an execution adjustment unit, wherein the intelligent sensing unit is connected to the intelligent analysis unit through a signal, and the intelligent analysis unit is connected to the execution adjustment unit through a signal;

[0068] The intelligent sensing unit collects and records the state data of the crucible's tilt angle, vibration frequency and weight change in real time through sensors installed on the crucible and the AGV, and monitors the speed, steering angle and battery status of the AGV in real time;

[0069] The intelligent analysis unit receives the collected data, analyzes and judges the state of the crucible through a preset recognition algorithm, identifies the potential risk of the crucible tipping over and the magnesium liquid overflowing, generates a decision to adjust the AGV driving speed and steering angle, sets a threshold, compares the collected data with the threshold, and generates an alarm signal when the collected data exceeds the threshold;

[0070] The execution adjustment unit adjusts the driving parameters of the AGV according to the instructions, adjusts the driving state of the AGV in real time, and immediately triggers the alarm mechanism after receiving the alarm signal, and reminds the operator through sound and light alarms and SMS notifications;

[0071] Furthermore, the intelligent sensing unit collects the state data of the crucible's tilt angle, vibration frequency, and weight change in real time through the inclination sensor, vibration sensor, and weight sensor installed on the crucible. At the same time, the sensors installed on the AGV, such as GPS, speed sensor, steering sensor, etc., collect the AGV's driving data, such as position, speed, steering angle, battery status, etc. The intelligent sensing unit transmits the collected data to the intelligent analysis unit;

[0072] After receiving the data, the intelligent analysis unit sets the inclination angle, vibration frequency, and weight change threshold of the crucible, and compares the real-time collected data with the threshold data. At the same time, the intelligent analysis unit analyzes the change trend of the crucible status data according to the crucible status data, the AGV driving data, and the mutual influence between them. When the intelligent analysis unit analyzes that the crucible is at risk of tipping over or the potential risk of magnesium liquid overflowing, it generates instructions for the AGV to reduce the driving speed and increase the steering angle. When the actual data exceeds the threshold data or there is a sudden increase in the inclination angle, an abnormal increase in the vibration frequency, or a rapid reduction in weight, the intelligent analysis unit generates an alarm signal. The intelligent analysis unit analyzes that the battery power of the AGV is lower than the threshold and generates a charging signal.

[0073] After receiving the instruction to adjust the driving status of the AGV from the intelligent analysis unit, the execution adjustment unit controls the AGV to reduce the driving speed and increase the steering angle at the turn. After receiving the alarm signal, the execution adjustment unit controls the AGV to stop driving. At the same time, it reminds the operator through various forms such as sound and light alarms, text messages, and emails to ensure that the operator can discover and deal with abnormal situations in time. After receiving the charging signal, the execution adjustment unit controls the AGV to go to the designated charging area for automatic charging to ensure that the AGV has sufficient power support during transportation.

[0074] Embodiment 2,

[0075] See also Figure 2 , Figure 7 and Figure 8 , an embodiment provided by the present invention: an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, wherein the safety monitoring and alarm module is connected to a walking module through a signal, and the walking module is used for accurate navigation and positioning of the AGV, and stably and accurately transports the crucible in a complex workshop environment;

[0076] The walking module includes: a real scene scanning unit, a path planning unit and a positioning navigation unit, the real scene scanning unit is connected to the path planning unit through a signal, and the path planning unit is connected to the positioning navigation unit through a signal;

[0077] The real-scene scanning unit uses laser radar to perform 3D scanning of the workshop environment, obtain real-time data on the workshop terrain environment, obstacle locations, and crucible placement points, and converts the scanned data into a digital model and map of the workshop environment through image recognition technology, and transmits environmental data;

[0078] The path planning unit receives workshop environment data, calculates the driving path based on the environment data, analyzes the safety and stability of the path, selects the optimal and suboptimal paths for the AGV from the starting point to the end point, and outputs the planned path information;

[0079] The positioning and navigation unit controls the AGV to travel along the predetermined path according to the path information, obtains the location information of the AGV in real time, and adjusts the driving trajectory and steering action of the AGV based on the path information and location information;

[0080] Furthermore, the real-scene scanning unit uses a variety of sensors such as laser radar, ultrasonic sensors, infrared sensors, etc. to perceive the workshop environment in real time, scan the AGV, obstacles, workers, etc. in the workshop, fuse and process the scanning data of different sensors to form complete and accurate environmental perception information, and convert the scanning data into a digital model or map of the workshop environment through image recognition technology, and transmit the converted environmental data to the path planning unit;

[0081] The path planning unit receives the environmental data transmitted by the real-scene scanning unit, and plans the global path of the AGV from the starting point to the end point based on the overall layout and task requirements of the magnesium alloy workshop. By analyzing factors such as the safety and stability of the path, the optimal or suboptimal path is selected, and local path adjustments are made according to the real-time position and surrounding environment information of the AGV to adapt to the dynamic changes in the workshop. The path planning unit transmits the planned optimal path information to the positioning and navigation unit. When the path planning unit detects that there are obstacles that cannot be circumvented in the optimal path information, the path planning unit transmits the suboptimal path to the positioning and navigation unit, thereby reducing the time for route planning and avoiding multiple route planning that prevents the AGV from being able to drive to the predetermined location in time.

[0082] The positioning and navigation unit controls the AGV to travel along the predetermined path according to the optimal path set by the path planning unit. The positioning and navigation unit receives information such as the AGV's position, speed, and posture monitored by the safety monitoring and alarm module, and adjusts the AGV's travel direction in real time in combination with the path information, so that the AGV can travel accurately along the planned path. The positioning and navigation unit receives the suboptimal path information transmitted by the path planning unit, controls the AGV to travel along the suboptimal path, and ensures the driving stability and safety of the AGV.

[0083] Embodiment 3,

[0084] See also Figure 3 , Figure 7 and Figure 8 , an embodiment provided by the present invention: an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, wherein the safety monitoring and alarm module is connected to a safety obstacle avoidance module through a signal, the safety obstacle avoidance module is connected to a walking module through a signal, and the safety obstacle avoidance module is used for obstacle avoidance of the AGV during driving;

[0085] The safety obstacle avoidance module includes: an obstacle detection unit, a strategy formulation unit and a feedback and adjustment unit, the obstacle detection unit is connected to the strategy formulation unit through a signal, the strategy formulation unit is connected to the feedback and adjustment unit through a signal, the strategy formulation unit is connected to the intelligent perception unit through a signal, and the feedback and adjustment unit is connected to the path planning unit through a signal;

[0086] The obstacle detection unit uses infrared sensors to monitor the environment around the AGV in real time, sense the distance and direction of obstacles near the AGV, detect the size of obstacles, and record and store obstacle data;

[0087] The strategy formulation unit comprehensively analyzes obstacle data and crucible status data, determines the impact of obstacles on AGV driving, and formulates obstacle avoidance strategies;

[0088] The feedback and adjustment unit controls the driving speed and direction of the AGV according to the obstacle avoidance strategy instructions, performs obstacle avoidance operations, feeds back the obstacle avoidance operations to the system, notifies the system to re-plan the route, and triggers the emergency braking mechanism of the AGV in an emergency, so that the AGV stops driving in the shortest time;

[0089] Furthermore, the obstacle detection unit monitors the surrounding environment of the AGV in real time through infrared sensors, senses obstacles that suddenly break into the AGV's driving path, and detects information such as the distance between the obstacle and the AGV, the direction of the obstacle in the AGV, and the size of the obstacle. The obstacle detection unit records and stores the detected obstacle data and transmits the obstacle data to the strategy formulation unit;

[0090] The strategy formulation unit receives the obstacle data transmitted by the obstacle detection unit and the crucible state data transmitted by the intelligent perception unit, performs a comprehensive analysis on the data, analyzes the degree of influence of the obstacle on the AGV driving, and determines whether an obstacle avoidance operation needs to be performed. If the strategy formulation unit determines that the obstacle will not affect the AGV driving, the strategy formulation unit does not generate an obstacle avoidance instruction. If the strategy formulation unit determines that the obstacle will affect the AGV driving and bypassing the obstacle will not cause the crucible state to be abnormal, the strategy formulation unit generates an obstacle avoidance instruction. If the strategy formulation unit determines that the obstacle will affect the AGV driving and bypassing the obstacle will cause the crucible state to be abnormal or unable to bypass, the strategy formulation unit generates a braking instruction.

[0091] The feedback and adjustment unit receives the obstacle avoidance instructions transmitted by the strategy formulation unit, controls the driving speed and direction of the AGV, performs obstacle avoidance operations, bypasses obstacles, and at the same time feeds back the obstacle avoidance operations to the path planning unit, and the path planning unit replans the route. The feedback and adjustment unit receives the braking instructions transmitted by the strategy formulation unit, and the feedback and adjustment unit triggers the emergency braking mechanism of the AGV to stop the AGV in the shortest time to avoid collision with obstacles. The feedback and adjustment unit feeds back the braking operation to the path planning unit, notifying the path planning unit to plan a new route.

[0092] Embodiment 4,

[0093] See also Figure 4 , Figure 7 and Figure 8 , an embodiment provided by the present invention: an automatic production system of a magnesium alloy workshop based on AGV automatic transportation, wherein the safety monitoring and alarm module is connected to a speed control module through a signal, and the speed control module is connected to a walking module and a safety obstacle avoidance module through a signal;

[0094] The speed control module includes: a path identification unit, a speed decision unit and a speed execution unit, the path identification unit is connected to the speed decision unit through a signal, the speed decision unit is connected to the speed execution unit through a signal, the path identification unit is connected to the real scene scanning unit through a signal, and the speed decision unit is connected to the intelligent perception unit through a signal;

[0095] The path recognition unit identifies the path type of the AGV based on the workshop environment data, including straight line, turning, uphill and downhill;

[0096] The speed decision unit formulates the speed adjustment strategy of the AGV in the key areas of turning, uphill and downhill according to the path type information and the driving speed of the AGV, and issues a speed reduction instruction;

[0097] The speed execution unit controls the AGV's drive system according to the instructions, and adjusts the AGV's travel speed when the AGV reaches the critical areas of turning, uphill and downhill;

[0098] Further, the path recognition unit receives the environmental data from the real scene scanning unit, analyzes the environmental data, determines the type of the path, and marks the straight lines, turns, uphills, and downhills in the path, providing a basis for subsequent speed control;

[0099] The speed decision unit receives the path marking information transmitted by the path identification unit and the AGV position information transmitted by the intelligent perception unit, accurately determines the path type of the AGV, determines whether the AGV's driving speed needs to be adjusted, generates the speed adjustment strategy of the AGV in the key areas of turning, uphill and downhill, and transmits the speed adjustment strategy to the speed execution unit;

[0100] The speed execution unit receives the speed adjustment strategy transmitted by the speed decision unit, controls the drive system of the AGV, reduces the driving speed of the AGV, and effectively reduces the driving speed of the AGV in key areas such as turning, uphill or downhill, thereby ensuring that the AGV can maintain stable driving in key areas, thereby ensuring the stability of the crucible, avoiding the risk of magnesium liquid overflow or crucible tipping, and maximizing the transportation efficiency under the premise of ensuring the normal state of the crucible, thereby achieving a balance between production efficiency and safety.

[0101] Embodiment 5,

[0102] See also Figure 5 and Figure 8 , an embodiment provided by the present invention: an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, wherein the safety monitoring and alarm module is connected to a fixing and locking module through a signal, and the fixing and locking module is used to fix the crucible on the AGV;

[0103] The fixing and locking module includes: a locking unit, a state monitoring unit and an abnormality handling unit, the locking unit is electrically connected to the state monitoring unit, and the state monitoring unit is connected to the abnormality handling unit through signals;

[0104] The locking unit performs a locking operation, controls the clamp on the AGV to gradually close, contact the outer wall of the crucible, activates the electric locking bolt, and locks the clamp and the crucible;

[0105] The state monitoring unit uses a pressure sensor and a position sensor to monitor the locking state of the crucible in real time, and collects the pressure data between the crucible and the fixture and the position data of the crucible;

[0106] The exception handling unit analyzes the data based on the pressure data and position data using a preset algorithm to determine the locking state of the crucible, and detects abnormal locking states such as insufficient locking force and crucible position deviation, triggering the exception handling mechanism to re-perform the locking operation;

[0107] Furthermore, the fixing fixture of the locking unit is in an open state, ready to receive the crucible, the crucible is hoisted from the melting furnace to the AGV, so that the position of the crucible corresponds to that of the fixing fixture, the locking unit controls the fixing fixture to gradually close until it contacts the outer wall of the crucible, completing the preliminary clamping of the crucible, and the locking unit activates the electric locking bolt of the locking device to further tighten the connection between the fixing fixture and the crucible, ensuring that the crucible will not shake or fall off during transportation;

[0108] During the locking process, the state monitoring unit detects the connection state between the crucible and the fixing fixture and the locking device through the pressure sensor and the position sensor, monitors the locking process of the crucible in real time, collects the pressure data between the crucible and the fixing fixture and the locking device and the position data of the crucible, and transmits the pressure data and the position data to the abnormality handling unit;

[0109] The exception handling unit receives the pressure data and position data transmitted by the status monitoring unit, responds according to the preset algorithm and logic, and determines whether the fixing and locking status of the crucible is normal. When an abnormal situation is detected, such as insufficient locking force, crucible position deviation, etc., the exception handling mechanism is triggered, and a feedback signal is immediately generated. The crucible is re-fixed through the locking unit to ensure the stability of the crucible. At the same time, the exception handling unit feeds back the processing results to the operator so that the operator can understand it in time. After the exception handling unit confirms that the crucible has been stably fixed and locked, it notifies the system AGV that the transportation operation can begin.

[0110] Embodiment 6,

[0111] See also Figure 6 and Figure 8 , an embodiment provided by the present invention: an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, wherein the safety monitoring and alarm module is connected to a monitoring and management module through a signal, and the monitoring and management module is used for remote monitoring of the AGV driving process;

[0112] The monitoring and management module includes a data storage unit and a remote monitoring unit, and the data storage unit is connected to the remote monitoring unit via Bluetooth;

[0113] The data storage unit collects, stores and processes real-time data from AGVs and sensors, establishes a database, provides data backup, recovery and deletion functions, and regularly detects and maintains the database;

[0114] The remote monitoring unit retrieves the corresponding data from the database according to user needs, processes and analyzes the data and displays it to the user, allowing the user to view the operating status and task progress of the AGV in real time through the remote interface;

[0115] Further, the data storage unit collects, stores and processes the real-time data transmitted by the security monitoring and alarm module, processes and analyzes the stored data, marks classification information, stores the collected data in a database, and provides data management functions such as data backup, recovery, and deletion to ensure data security and integrity;

[0116] The remote monitoring unit is designed with a visual remote monitoring interface, which provides remote access and monitoring functions. Users can view the AGV status, task execution and production data in real time through the remote interface, realize real-time data display, historical data query and other functions, and display the real-time status data of the crucible through intuitive graphics and charts.

[0117] Working principle: the crucible is hoisted from the melting furnace to the AGV, the fixing and locking module locks the crucible and monitors the locking state between the fixture and the crucible to ensure that the locking state is normal. The fixing and locking module notifies the AGV to start transportation. The walking module plans the driving path from the melting chamber to the pouring chamber and the die-casting chamber, and controls the AGV to transport according to the predetermined driving path. The walking module adjusts the direction of the AGV in real time according to the position information monitored by the safety monitoring and alarm module.

[0118] During AGV transportation, the safety obstacle avoidance module will promptly avoid obstacles that suddenly break into the AGV's driving path. The safety obstacle avoidance module will transmit the avoidance information to the walking module, which will automatically update the environmental model and adjust the driving path. The task management module will adjust the obstacle avoidance strategy between AGVs according to the priority and urgency of the current transportation task to optimize transportation efficiency.

[0119] The speed control module adjusts the driving speed of the AGV in the uphill, downhill and turning areas of the magnesium alloy workshop. The safety monitoring and alarm module monitors the crucible status in real time during the driving process of the AGV. When the crucible is in an abnormal state, the alarm mechanism is triggered. The operator understands the operating status, location information, and task completion status of the AGV through the monitoring and management module. The communication and network module coordinates the communication and data exchange between the various modules of the system to ensure the stability and real-time performance of data transmission.

[0120] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An automatic production system for magnesium alloy workshop based on AGV automatic transportation, characterized by: It includes a safety monitoring and alarm module, which is used to monitor the state of the crucible and the driving condition of the AGV in real time, and adjust the driving of the AGV according to the state of the crucible; The safety monitoring and alarm module includes: an intelligent sensing unit, an intelligent analysis unit and an execution adjustment unit, wherein the intelligent sensing unit is connected to the intelligent analysis unit through a signal, and the intelligent analysis unit is connected to the execution adjustment unit through a signal; The intelligent sensing unit collects and records the state data of the crucible's tilt angle, vibration frequency and weight change in real time through sensors installed on the crucible and the AGV, and monitors the speed, steering angle and battery status of the AGV in real time; The intelligent analysis unit receives the collected data, analyzes and judges the state of the crucible through a preset recognition algorithm, identifies the potential risk of the crucible tipping over and the magnesium liquid overflowing, generates a decision to adjust the AGV driving speed and steering angle, sets a threshold, compares the collected data with the threshold, and generates an alarm signal when the collected data exceeds the threshold; The execution adjustment unit adjusts the driving parameters of the AGV according to the instructions, adjusts the driving state of the AGV in real time, and immediately triggers the alarm mechanism after receiving the alarm signal, and reminds the operator through sound and light alarms and SMS notifications; The safety monitoring and alarm module is connected to the safety obstacle avoidance module through signals. The safety obstacle avoidance module is used for obstacle avoidance during the AGV driving process. The safety obstacle avoidance module includes: an obstacle detection unit, a strategy formulation unit and a feedback and adjustment unit. The obstacle detection unit is connected to the strategy formulation unit through signals, the strategy formulation unit is connected to the feedback and adjustment unit through signals, and the strategy formulation unit is connected to the intelligent perception unit through signals; The obstacle detection unit uses an infrared sensor to monitor the environment around the AGV in real time, sense the distance and direction information of obstacles appearing near the AGV, detect the size of the obstacles, and record and store the obstacle data; The strategy formulation unit comprehensively analyzes the obstacle data and the crucible state data, determines the degree of influence of the obstacle on the AGV driving, and formulates an obstacle avoidance strategy; The feedback and adjustment unit controls the driving speed and direction of the AGV according to the obstacle avoidance strategy instructions, performs obstacle avoidance operations, feeds back the obstacle avoidance operations to the system, notifies the system to re-plan the route, and in an emergency, triggers the emergency braking mechanism of the AGV to stop the AGV in the shortest time; The safety monitoring and alarm module is connected to a fixing and locking module through a signal, and the fixing and locking module is used to fix the crucible on the AGV. The fixing and locking module includes: a locking unit, a state monitoring unit and an abnormality handling unit. The locking unit is electrically connected to the state monitoring unit, and the state monitoring unit is connected to the abnormality handling unit through a signal; The locking unit performs a locking operation to control the clamp on the AGV to gradually close and contact the outer wall of the crucible, activating the electric locking bolt to lock the clamp and the crucible; The state monitoring unit uses a pressure sensor and a position sensor to monitor the locking state of the crucible in real time, and collects pressure data between the crucible and the fixture and position data of the crucible; The exception handling unit analyzes the data according to the pressure data and the position data using a preset algorithm, determines the locking state of the crucible, detects the abnormal locking state such as insufficient locking force and the position of the crucible being offset, triggers the exception handling mechanism, and performs the locking operation again.

2. The automatic production system for magnesium alloy workshop based on AGV automatic transportation according to claim 1 is characterized in that: The safety monitoring and alarm module is connected to the walking module through signals, and the safety obstacle avoidance module is connected to the walking module through signals. The walking module is used for accurate navigation and positioning of the AGV to stably and accurately transport the crucible in a complex workshop environment; The walking module includes: a real scene scanning unit, a path planning unit and a positioning navigation unit, the real scene scanning unit is connected to the path planning unit through a signal, the path planning unit is connected to the positioning navigation unit through a signal, and the feedback and adjustment unit is connected to the path planning unit through a signal; The real-scene scanning unit uses laser radar to perform 3D scanning of the workshop environment, obtain real-time data on the workshop terrain environment, obstacle locations, and crucible placement points, and converts the scanned data into a digital model and map of the workshop environment through image recognition technology, and transmits environmental data; The path planning unit receives workshop environment data, calculates the driving path based on the environment data, analyzes the safety and stability of the path, selects the optimal and suboptimal paths for the AGV from the starting point to the end point, and outputs the planned path information; The positioning and navigation unit controls the AGV to travel along the predetermined path according to the path information, obtains the location information of the AGV in real time, and adjusts the driving trajectory and steering action of the AGV based on the path information and location information.

3. The automatic production system for magnesium alloy workshop based on AGV automatic transportation according to claim 1 is characterized in that: The safety monitoring and alarm module is connected to the speed control module through signals, and the speed control module is connected to the walking module and the safety obstacle avoidance module through signals, and the speed control module is used to adjust the driving speed of the AGV; The speed control module includes: a path identification unit, a speed decision unit and a speed execution unit, the path identification unit is connected to the speed decision unit through a signal, the speed decision unit is connected to the speed execution unit through a signal, the path identification unit is connected to the real scene scanning unit through a signal, and the speed decision unit is connected to the intelligent perception unit through a signal; The path recognition unit identifies the path type of the AGV based on the workshop environment data, including straight line, turning, uphill and downhill; The speed decision unit formulates the speed adjustment strategy of the AGV in the key areas of turning, uphill and downhill according to the path type information and the driving speed of the AGV, and issues a speed reduction instruction; The speed execution unit controls the AGV's drive system according to the instructions, and adjusts the AGV's travel speed when the AGV reaches the critical areas of turning, uphill and downhill.

4. The automatic production system for magnesium alloy workshop based on AGV automatic transportation according to claim 1 is characterized in that: The safety monitoring and alarm module is connected to the monitoring and management module through signals, and the monitoring and management module is used for remote monitoring of the AGV driving process; The monitoring and management module includes a data storage unit and a remote monitoring unit, and the data storage unit is connected to the remote monitoring unit via Bluetooth; The data storage unit collects, stores and processes real-time data from AGVs and sensors, establishes a database, provides data backup, recovery and deletion functions, and regularly tests and maintains the database; The remote monitoring unit retrieves the corresponding data from the database according to user needs, processes and analyzes the data and displays it to the user, allowing the user to view the operating status and task progress of the AGV in real time through the remote interface.

5. The automatic production system for magnesium alloy workshop based on AGV automatic transportation according to claim 1 is characterized in that: The safety monitoring and alarm module is designed with a task management module, which receives production tasks from the production system and performs task scheduling and optimization according to the current status of the AGV, the workshop environment and the task priority.

6. The automatic production system for magnesium alloy workshop based on AGV automatic transportation according to claim 1 is characterized by: The safety monitoring and alarm module is designed with a communication and network module, which is responsible for coordinating the communication and data exchange between various modules.

7. A method for using an automatic production system for a magnesium alloy workshop based on AGV automatic transportation, applicable to an automatic production system for a magnesium alloy workshop based on AGV automatic transportation according to any one of claims 1 to 6, characterized in that: The method of use comprises the following steps: S1. AGV transports the crucible to the pouring room and die-casting room. The walking module plans the optimal driving path from the melting room to the pouring room and die-casting room in the magnesium alloy workshop, and the AGV transports according to the optimal driving path; S2: During AGV transportation, an obstacle suddenly breaks into the AGV's driving path, and the safety obstacle avoidance module avoids the obstacle in time; S3. The safety monitoring and alarm module monitors the crucible status in real time and triggers the alarm mechanism for abnormal crucible status.

8. The method for using the automatic production system of a magnesium alloy workshop based on AGV automatic transportation according to claim 7 is characterized in that: The method of use also includes the following steps: S11. The crucible is hoisted from the melting furnace to the AGV, the fixing and locking module locks the crucible, and the locking state is monitored; S21. In the uphill, downhill and turning areas in the magnesium alloy workshop, the speed control module controls the AGV to adjust the driving speed; S31. The operator queries data through the monitoring and management module to understand the operating status, location information, and task completion status of the AGV.

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