An emulsion matrix ground station explosion-proof storage system

Abstract

The present application relates to a kind of emulsion matrix ground station anti-explosion storage system applied to warehouse explosion-proof technical field, including raw material storage area, multiple AGVs, warehouse management system, breakage monitoring unit and multiple weighing recognition units, weighing recognition unit is used to the AGV that travels to carry out dynamic weighing to obtain weight data, and the electronic tag of AGV is identified to obtain its identity information, breakage monitoring unit creates and maintains task weight data log by for each task number, and the weight data stored in the same task weight data log is analyzed, it is judged whether leakage occurs;The present application realizes the real-time, on-line, automatic monitoring of raw material leakage in the AGV carrying process by the dynamic weighing and intelligent analysis mechanism based on task binding, can timely alarm in the early stage of leakage, before explosive environment is formed, safety management is moved from passive disposal to active prevention, the safety of storage system is greatly improved.

Description

Technical Field

[0001] This invention relates to a storage system, and more particularly to an explosion-proof storage system for a latex-based ground station, applicable to the field of explosion-proof storage technology. Background Technology

[0002] In recent years, with the rapid development of industrial automation, automated material handling systems centered on warehouse management systems (WMS) and automated guided vehicles (AGVs) have gradually replaced traditional manual operations. This has enabled automated raw material inbound and outbound operations, precise stacking, and inventory management, effectively improving warehousing efficiency and space utilization. For example, Chinese patent CN112184116B discloses a warehousing system and management method based on AGV robots, which improves outbound efficiency while reducing costs, minimizing errors and safety incidents, and increasing warehouse space utilization.

[0003] Latex matrix is ​​a key semi-finished product in emulsion explosives. Its raw materials, such as ammonium nitrate and sodium nitrate, are mostly strong oxidizers, posing an explosion risk under conditions of heat, contamination, or severe impact, and are also prone to absorbing moisture and clumping. These raw materials are usually stored and transported in bags, and the integrity of their packaging is directly related to essential production safety, serving as the first line of defense against dust explosions, while also affecting environmental safety and product quality.

[0004] Existing AGV-based automated warehousing systems primarily focus on improving logistics efficiency, such as route planning and inventory management. However, for latex matrix ground stations, the storage of raw materials for latex matrix production (such as bagged ammonium nitrate) requires more than just logistics efficiency; critical safety issues, such as explosion prevention, must be addressed first and foremost. During the handling and storage of these bagged raw materials using AGVs, the packaging bags may be damaged due to squeezing or scratching by the fork teeth, or vibrations or sudden stops during AGV operation, leading to material leakage. Leaked powdery materials can easily form an explosive dust environment in the air. Once exposed to an ignition source (such as static electricity or mechanical sparks), this could potentially trigger a serious dust explosion, posing a significant threat to the safety of the entire ground station.

[0005] Currently, there is a lack of reliable and effective real-time monitoring methods for raw material leaks during handling. The main reliance is on periodic manual inspections, which is not only inefficient but also often results in pollution and safety hazards by the time leaks are detected, failing to meet the inherent safety requirements of modern, intelligent ground stations. Therefore, there is an urgent need for an active explosion-proof technology solution that can be integrated into the storage system to achieve early, automatic, and online monitoring of raw material leaks. Summary of the Invention

[0006] The technical problem to be solved by the present invention in view of the above-mentioned prior art is: how to monitor the problem of bagged raw material packaging damage and leakage in real time and automatically during AGV handling, so as to provide early warning and handling in the early stage of leakage, proactively prevent dust explosion accidents, and improve the inherent safety level of the entire ground station storage system.

[0007] To address the aforementioned issues, this invention provides an explosion-proof storage system for latex-based ground stations, comprising a raw material storage area, multiple AGVs, and a warehouse management system. The raw material storage area is equipped with multiple shelves and a planned travel channel for the AGVs, and the warehouse management system is communicatively connected to the AGVs.

[0008] It also includes a leak detection unit and multiple weighing and identification units. The AGV is equipped with electronic tags that store the AGV's identity information. Multiple weighing and identification units are distributed at the entrances and exits of the raw material storage area and on the travel passage.

[0009] The weighing and identification unit is configured to dynamically weigh the passing AGV to obtain weight data and identify the AGV's electronic tag to obtain its identity information.

[0010] The leak detection unit communicates with the warehouse management system and the weighing identification unit, and is configured as follows:

[0011] Receive task information from the warehouse management system. The task information includes at least the task number, raw material weight information, and the identity information of the AGV executing the task.

[0012] Receive weight data and identity information from the weighing and identification unit, and add a timestamp to the received weight data;

[0013] Based on identity information, the weight data after adding the timestamp is bound to the corresponding task number;

[0014] Create and maintain a task weight data log for each task number. The task weight data log is used to store all weight data and timestamps bound to that task number.

[0015] Perform data analysis on the weight data stored in the same task weight data log;

[0016] Based on the data analysis results, determine whether a raw material leak has occurred, and issue an alarm when a leak is detected.

[0017] In the aforementioned explosion-proof storage system for latex-based ground stations, real-time active monitoring of the raw material packaging status is achieved, enabling timely detection of unexpected weight loss and issuing alarms.

[0018] As a further improvement to the present invention, data analysis includes:

[0019] Sort the weight data according to the timestamp;

[0020] Calculate the difference between two adjacent weight data points and record it as the adjacent difference;

[0021] Determine whether the difference between adjacent values ​​exceeds the preset allowable error;

[0022] A leak is determined to have occurred when the difference between adjacent values ​​is negative and its absolute value is greater than the allowable error.

[0023] As a further improvement of the present invention, when the adjacent difference is negative and its absolute value is greater than the allowable error, but the adjacent difference matches the raw material weight information, it is determined that no leakage has occurred.

[0024] As a further improvement of the present invention, the task information also includes the no-load weight value of the AGV performing the task;

[0025] Data analysis also includes:

[0026] Calculate the theoretical total weight value, which is the sum of the unloaded weight value and the raw material weight information;

[0027] Calculate the difference between the theoretical total weight value and the weight data, and record it as the constant ratio difference;

[0028] Determine whether the ratio difference exceeds the allowable error;

[0029] A leak is determined to have occurred when the ratio difference is negative and its absolute value is greater than the allowable error.

[0030] As a further improvement of the present invention, when the ratio difference is negative and its absolute value is greater than the allowable error, but the ratio difference matches the raw material weight information, it is determined that no leakage has occurred.

[0031] As a further improvement of the present invention, the timing for the leakage monitoring unit to create a task weight data log for the task number is: when task information containing the task number is received; the timing for closing the task weight data log is: when a notification from the warehouse management system that the task has been completed or terminated is received.

[0032] As another improvement of the present invention, the explosion-proof storage system also includes an image verification unit, which includes an verification and control module, a camera module, and an electric track that matches the travel channel.

[0033] As a further improvement to the present invention, an electric track is provided above the shelf for driving the camera module to move;

[0034] The leak detection unit is also configured to send a leak detection signal and the corresponding AGV's identity information to the verification and control module when a leak is detected.

[0035] The verification and control module is communicatively connected to the leakage monitoring unit, warehouse management system, camera module, and electric track, and is configured as follows:

[0036] Upon receiving a leak detection signal from the leak detection unit, a verification and tracing procedure is executed based on image recognition technology.

[0037] As a further improvement to this invention, the verification and traceability procedure includes:

[0038] Verify whether the leak actually occurred;

[0039] When the verification result confirms that a leak has actually occurred, the origin of the leak is located.

[0040] As a further improvement to the present invention, the image verification unit also includes a display module, and the verification and analysis module is communicatively connected to the display module;

[0041] The verification and traceability procedures also include:

[0042] When the verification result indicates that the leak did not actually occur, the control display module displays the image data.

[0043] In summary, this invention achieves real-time, online, and automatic monitoring of raw material leakage during AGV handling through a task-based dynamic weighing and intelligent analysis mechanism. This completely changes the outdated model that relies on manual inspections, enabling timely alarms in the early stages of leakage before an explosive environment is formed. It shifts safety management from passive handling to proactive prevention, greatly improving the safety of the warehousing system.

[0044] This invention also introduces a dual judgment algorithm that combines fixed ratio difference analysis and time series trend analysis. This algorithm can not only detect leaks that have occurred before the first weighing of the AGV, but also sensitively capture minor but continuous leaks. It effectively avoids the risk of missed judgment that may exist with a single algorithm. In addition, combined with a unique anti-false judgment logic, the system can intelligently distinguish between normal operation and abnormal leakage, which significantly reduces the false alarm rate and improves the robustness and adaptability of the system.

[0045] This invention further enhances the reliability and accuracy of raw material leakage monitoring in explosion-proof storage systems by introducing an image verification unit. On the one hand, when the leakage monitoring unit determines that a leak has occurred, the image verification unit can use image recognition technology to verify it, effectively avoiding misjudgments by the leakage monitoring unit. On the other hand, if the verification result shows that a leak has actually occurred, it can also accurately locate the leak origin, providing strong support for subsequent leak handling. Attached Figure Description

[0046] Figure 1 This is a structural block diagram of the explosion-proof storage system in the first embodiment of the present invention;

[0047] Figure 2 This is a flowchart illustrating the process of the leakage monitoring unit in the first embodiment of the present invention.

[0048] Figure 3 This is a flowchart illustrating the data analysis performed by the leak monitoring unit based on adjacent differences in the first embodiment of the present invention.

[0049] Figure 4 This is a flowchart illustrating the data analysis performed by the leakage monitoring unit based on a fixed ratio difference in the second embodiment of the present invention.

[0050] Figure 5 This is a structural block diagram of the explosion-proof storage system according to the third embodiment of the present invention;

[0051] Figure 6 This is a structural block diagram of the image verification unit in the third embodiment of the present invention;

[0052] Figure 7 This is a flowchart of the image verification unit executing the verification and tracing procedure in the third embodiment of the present invention. Detailed Implementation

[0053] The three embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0054] First implementation method:

[0055] Figures 1-3 This invention discloses an explosion-proof warehousing system for a latex-based ground station, comprising a raw material storage area, multiple AGVs (Automated Guided Vehicles), and a warehouse management system. The raw material storage area is equipped with multiple shelves and planned travel aisles for the AGVs. The warehouse management system communicates with the AGVs and is used for inventory management, assigning inbound and outbound tasks to the AGVs, planning routes, and recording logistics information. During operation, the warehouse management system assigns specific handling tasks to appropriate AGVs based on inventory status and task requirements, and plans their travel paths within the raw material storage area to ensure that the AGVs can efficiently and accurately complete the raw material handling work. Furthermore, the AGVs are equipped with positioning modules, allowing the warehouse management system to obtain the real-time location of the AGVs.

[0056] The explosion-proof storage system also includes a leak detection unit and multiple weighing and identification units. The AGV is equipped with electronic tags that store the AGV's identity information. Multiple weighing and identification units are distributed at the entrances and exits of the raw material storage area and along the travel channels.

[0057] The weighing and identification unit is configured to dynamically weigh the passing AGVs to obtain weight data and identify the AGV's electronic tags to obtain its identity information. The unit consists of a weighing module and an identification module. The weighing module is used for dynamic weighing of the AGVs, preferably an embedded high-precision weighbridge, and integrates a digital filtering algorithm (such as Kalman filtering) to eliminate noise caused by AGV vibration. Furthermore, to further improve weighing accuracy, the warehouse management system controls the AGVs to pass through the weighing module at a constant speed. The identification module is correspondingly located near the weighing module and is used to identify the electronic tags on the AGVs. These tags are preferably RFID tags or QR code tags, and the identification module is preferably equipped with an RFID reader or QR code reader.

[0058] The leak detection unit communicates with the warehouse management system and the weighing identification unit, and is configured as follows:

[0059] Receive task information from the warehouse management system. The task information includes at least the task number, raw material weight information, and the identity information of the AGV executing the task.

[0060] Receive weight data and identity information from the weighing and identification unit, and add a timestamp to the received weight data;

[0061] Based on identity information, the weight data after adding the timestamp is bound to the corresponding task number;

[0062] Create and maintain a task weight data log for each task number. The task weight data log is used to store all weight data and timestamps bound to that task number.

[0063] Perform data analysis on the weight data stored in the same task weight data log;

[0064] Based on the data analysis results, determine whether a raw material leak has occurred, and issue an alarm when a leak is detected (the specific alarm method can be flexibly selected according to the actual situation, such as one or more of sound and light, SMS, etc.).

[0065] Upon receiving the alarm, relevant personnel can proceed with follow-up actions according to standard safety procedures, such as blocking the corresponding passage to prevent other AGVs from running over the leaked material and promptly cleaning up the leaked raw materials to fundamentally eliminate safety hazards. Additionally, when the leak detection unit determines a leak has occurred, it will immediately send a leak alarm to the warehouse management system. The warehouse management system can then automatically execute a series of safety actions, such as stopping the movement of the corresponding AGV and suspending its current task, to prevent the leak from escalating and an accident from occurring.

[0066] Raw material weight information refers to the weight of all bagged raw materials corresponding to the task performed by the AGV. For example, if the AGV is performing an inbound task and there are three bags of raw materials to be inbound, then the raw material weight information is the weight of each of the three bags. If there is only one bag of raw materials to be inbound, then the raw material weight information is the weight of that bag of raw materials.

[0067] Data analysis includes:

[0068] Sort the weight data according to the timestamp;

[0069] Calculate the difference between two adjacent weight data (subtract the previous weight data from the later weight data) and record it as the adjacent difference;

[0070] Determine whether the difference between adjacent values ​​exceeds the preset allowable error;

[0071] When the adjacent difference is negative and its absolute value is greater than the allowable error, it indicates that an unexpected weight loss has occurred, and the leakage detection unit will determine that a leak has occurred. However, if the adjacent difference matches the raw material weight information (the absolute value of the adjacent difference is equal to the weight of a bag of raw material in the raw material weight information, or although there is a deviation, the deviation is not greater than the allowable error, which is considered as the adjacent difference matching the raw material weight information), it means that the weight loss is due to normal delivery operation. Therefore, the leakage detection unit will not determine that a leak has occurred, but will determine that no leak has occurred.

[0072] During the inbound and outbound process of bagged raw materials, if the packaging bag of the raw materials is damaged and leaks, the total weight of the AGV (the AGV's own weight plus the weight of the raw materials on the AGV) will decrease unexpectedly, resulting in unexpected weight loss. This invention, based on the combined design of a weighing identification unit and a leakage detection unit, realizes real-time active monitoring of the packaging status of raw materials. It can promptly detect unexpected weight loss and issue alarms, allowing relevant technicians to detect the leakage of raw materials in a timely manner and take appropriate measures to deal with the leaked raw materials. This can effectively avoid safety accidents such as dust explosions caused by raw material leakage, greatly improving the safety of the warehousing system. In addition, a verification and anti-false alarm mechanism is set up to effectively distinguish between normal operation and abnormal leakage, greatly improving the accuracy and reliability of monitoring and significantly reducing the false alarm rate.

[0073] Regarding task weight data logs, the leakage monitoring unit creates a task weight data log for each task number upon receiving task information containing that task number. Furthermore, the unit closes the task weight data log upon receiving notification from the warehouse management system that the task has been completed or terminated. For a given AGV, after it completes a raw material in / out task, the leakage monitoring unit promptly closes the corresponding task weight data log. When the AGV executes a new task, a new task weight data log is created, effectively preventing misjudgments caused by weight data confusion and further improving the accuracy and reliability of monitoring.

[0074] Second implementation method:

[0075] Please see Figure 4 Unlike the first implementation, the task information also includes the empty weight value of the AGV performing the task.

[0076] Data analysis also includes:

[0077] Calculate the theoretical total weight value, which is the sum of the unloaded weight value and the raw material weight information;

[0078] Calculate the difference between the theoretical total weight value and the weight data, and record it as the ratio difference (the ratio difference is equal to the weight data minus the theoretical total weight value).

[0079] Determine whether the ratio difference exceeds the allowable error;

[0080] When the ratio difference is negative and its absolute value is greater than the allowable error, it indicates that an unexpected weight loss has occurred, and the leakage detection unit will also determine that a leak has occurred. However, if the ratio difference matches the raw material weight information (the absolute value of the ratio difference is equal to the weight of a bag of raw material in the raw material weight information, or although there is a deviation, the deviation is not greater than the allowable error, which is considered as the ratio difference matching the raw material weight information), it means that the weight loss was caused by normal delivery operations. Therefore, the leakage detection unit will not determine that a leak has occurred, but will instead determine that no leak has occurred.

[0081] This implementation further optimizes monitoring performance by introducing the calculation and analysis of fixed-ratio differences. Firstly, if a raw material leak occurs before the AGV passes the first weighing identification unit on its path (i.e., before the first weighing), the leak detection unit can detect and determine the leak by analyzing and calculating the fixed-ratio difference upon receiving the corresponding first weight data. This allows for earlier and more timely detection of raw material leaks, improving monitoring timeliness. Secondly, if a raw material leak occurs but is minor, it may cause adjacent differences to be less than the allowable tolerance. Analyzing only adjacent differences carries the risk of missed detection. However, since the fixed-ratio difference analysis compares the weight data obtained from each weighing with a fixed theoretical total weight value, leaks can be detected based on the analysis of the fixed-ratio difference as they accumulate, further improving the accuracy and reliability of monitoring. Furthermore, the fixed-ratio difference analysis also incorporates a verification mechanism to prevent false judgments, effectively distinguishing between normal operation and abnormal leaks, thus avoiding misjudgments.

[0082] The third implementation method:

[0083] Please see Figures 5-7 Unlike the first and second implementation methods, the explosion-proof storage system also includes an image verification unit, which includes a verification and traceability control analysis module, a camera module, and an electric track that matches the travel channel.

[0084] The electric track is installed above the shelves (for example, on the ceiling of the raw material storage area) to drive the camera module to move;

[0085] The leak detection unit is also configured to send a leak detection signal and the corresponding AGV's identity information to the verification and control module when a leak is detected.

[0086] The verification and control module is communicatively connected to the leakage monitoring unit, warehouse management system, camera module, and electric track, and is configured as follows:

[0087] Upon receiving a leak detection signal from the leak detection unit, a verification and tracing procedure is executed based on image recognition technology;

[0088] Verification and source tracing are used to verify whether a leak actually occurred, and, if the verification result indicates that a leak did occur, to locate the origin of the leak.

[0089] The verification and traceability procedures include:

[0090] Based on the AGV's identity information from the leak detection unit, the current position and travel path of the AGV are obtained from the warehouse management system, and the current position of the AGV is set as the verification point.

[0091] The electric track drives the camera module to the verification point;

[0092] After the camera module arrives at the verification point, control the camera module to take pictures of the verification point;

[0093] Receive image data captured by the camera module and record it as verification image data;

[0094] The verification image data is identified and analyzed based on image recognition technology (image recognition algorithm);

[0095] Based on the results of the identification and analysis, verify whether the leak actually occurred.

[0096] The image recognition algorithm is a machine learning model trained on a large amount of image data containing both raw material leakage scenarios and normal scenarios. It can identify the visual features of raw materials (such as color, texture, and shape) and effectively distinguish leaked raw materials from normal dust accumulation on the ground. When analyzing the verification image data, if exposed raw materials are identified, it indicates that a raw material leakage has indeed occurred, and the verification result is that the leakage actually happened. Conversely, if exposed raw materials are not identified, it indicates that the leakage monitoring unit has misjudged, and the verification result is that the leakage did not actually occur.

[0097] The verification and traceability procedures also include:

[0098] When the verification result confirms that a leak has actually occurred, a signal indicating that the judgment is correct is sent to the leak detection unit, causing the leak detection unit to raise the alarm level (the leak detection unit has three alarm levels: low, medium, and high. When the leak detection unit determines that a leak has occurred, the alarm it issues is a medium alarm).

[0099] The electric track drives the camera module to move in the opposite direction along the AGV's travel path (that is, to go back along the route the AGV has already traveled), while simultaneously controlling the camera module to capture image data.

[0100] Receive image data captured by the camera module and record it as source tracing image data;

[0101] Based on image recognition technology, source tracing image data is identified and analyzed;

[0102] Based on the results of the identification and analysis, the origin of the leak was located.

[0103] After a leak occurs, as the AGV moves, the raw material will continue to leak and spill onto the travel channel along the AGV's path. The camera module moves in the opposite direction along the travel path to capture traceability image data and transmits the traceability image analysis to the verification and analysis module in real time. The verification and analysis module identifies and analyzes the traceability image data in real time and records the real-time position coordinates of the camera module. When the identification and analysis of the traceability image data shows that no leaked raw material is detected in subsequent consecutive frames starting from a certain position, the position where the last leaked raw material was detected is determined as the leak starting point.

[0104] The image verification unit also includes a display module, and the verification and analysis module is communicatively connected to the display module;

[0105] The verification and traceability procedures also include:

[0106] When the verification result indicates that the leak did not actually occur, a signal of incorrect judgment is sent to the leak detection unit, causing the leak detection unit to lower the alarm level.

[0107] Send verification image data to the display module and control the display module to display the verification image data.

[0108] In addition, since the leak detection unit will send a leak alarm to the warehouse management system when a leak is detected, the verification and control module will also send an alarm cancellation signal to the warehouse management system when the verification result shows that the leak did not actually occur, so that the warehouse management system can cancel the corresponding safety operation, such as restoring the movement of the AGV and allowing it to continue to perform its task.

[0109] Low-level alarms are used to prompt relevant technicians to perform final verification by reviewing the verification image data displayed on the display module. If no leaked raw materials are found after reviewing the image data, it indicates that the leak detection unit has indeed made a misjudgment. Technicians can directly cancel the alarm of the leak detection unit and perform system calibration and parameter adjustment on the leak detection unit to improve the accuracy of subsequent monitoring. However, if leaked raw materials are found when reviewing the image data, it indicates that there is a problem with the identification and analysis of the traceability and control module. Technicians can first deal with the raw material leak problem, and after the raw material leak problem is resolved, perform system calibration and parameter adjustment on the traceability and control module to improve the accuracy of subsequent verification.

[0110] This implementation method further enhances the reliability and accuracy of raw material leakage monitoring in the explosion-proof storage system by introducing an image verification unit. On one hand, when the leakage monitoring unit determines a leak has occurred, the image verification unit can use image recognition technology to verify the detection, effectively avoiding misjudgments by the leakage monitoring unit. On the other hand, if the verification result confirms a leak, it can accurately pinpoint the leak's origin, providing strong support for subsequent leak handling.

[0111] In light of current practical needs, the above-described embodiments of this invention are not limited to these specific implementations. Any changes made within the scope of knowledge possessed by those skilled in the art, without departing from the concept of this invention, still fall within the protection scope of this invention.

Claims

1. An explosion-proof storage system for a latex-based ground station, comprising a raw material storage area, multiple AGVs, and a warehouse management system, wherein the raw material storage area is equipped with multiple shelves and a planned travel aisle for the AGVs, and the warehouse management system is communicatively connected to the AGVs, characterized in that, It also includes a leakage monitoring unit and multiple weighing and identification units, and the AGV is equipped with an electronic tag that stores the AGV's identity information. Multiple weighing and identification units are distributed at the entrance and exit of the raw material storage area and on the travel channel. The weighing and identification unit is configured to dynamically weigh the passing AGV to obtain weight data and identify the electronic tag of the AGV to obtain its identity information. The leakage monitoring unit is communicatively connected to the warehouse management system and the weighing identification unit, and is configured as follows: Receive task information from the warehouse management system, the task information including at least the task number, raw material weight information, and the identity information of the AGV performing the task; Receive weight data and identity information from the weighing and identification unit, and add a timestamp to the received weight data; Based on identity information, the weight data after adding the timestamp is bound to the corresponding task number; Create and maintain a task weight data log for each task number. The task weight data log is used to store all weight data and timestamps bound to that task number. Perform data analysis on the weight data stored in the same task weight data log; Based on the results of data analysis, determine whether raw material leakage has occurred, and issue an alarm when leakage is detected. The data analysis includes: Sort the weight data according to the timestamp; Calculate the difference between two adjacent weight data points and record it as the adjacent difference; Determine whether the adjacent differences exceed a preset allowable error; When the adjacent difference is negative and its absolute value is greater than the allowable error, a leak is determined to have occurred. When the adjacent difference is negative and its absolute value is greater than the allowable error, but the adjacent difference matches the raw material weight information, it is determined that no leakage has occurred. The task information also includes the unloaded weight value of the AGV performing the task; The data analysis also includes: Calculate the theoretical total weight value, which is the sum of the no-load weight value and the raw material weight information; Calculate the difference between the theoretical total weight value and the weight data, and record it as the constant ratio difference; Determine whether the constant ratio difference exceeds the allowable error; A leak is determined to have occurred when the ratio difference is negative and its absolute value is greater than the allowable error.

2. The explosion-proof storage system for latex-based ground stations according to claim 1, characterized in that, When the ratio difference is negative and its absolute value is greater than the allowable error, but the ratio difference matches the raw material weight information, it is determined that no leakage has occurred.

3. The explosion-proof storage system for latex-based ground stations according to claim 1, characterized in that, The timing for the leakage monitoring unit to create a task weight data log for the task number is: when it receives task information containing the task number; the timing for closing the task weight data log is: when it receives a notification from the warehouse management system that the task has been completed or terminated.

4. The explosion-proof storage system for latex-based ground stations according to claim 1, characterized in that, It also includes an image verification unit, which includes a verification and control module, a camera module, and an electric track that matches the travel channel.

5. The explosion-proof storage system for latex-based ground stations according to claim 4, characterized in that, The electric track is located above the shelf and is used to drive the camera module to move; The leakage monitoring unit is also configured to send a leakage detection signal and the corresponding AGV's identity information to the verification and control module when a leakage is detected. The verification and control module is communicatively connected to the leakage monitoring unit, warehouse management system, camera module, and electric track, and is configured as follows: Upon receiving a leak detection signal from the leak monitoring unit, a verification and tracing procedure is executed based on image recognition technology.

6. The explosion-proof storage system for latex-based ground stations according to claim 5, characterized in that, The verification and tracing procedure includes: Verify whether the leak actually occurred; When the verification result confirms that a leak has actually occurred, the origin of the leak is located.

7. The explosion-proof storage system for latex-based ground stations according to claim 6, characterized in that, The image verification unit also includes a display module, and the verification and analysis module is communicatively connected to the display module. The verification and tracing procedure also includes: When the verification result indicates that the leak did not actually occur, the control display module displays the image data.

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