An unmanned management method for a three-dimensional solidification library of gas meters based on a smart factory system

Abstract

The present application relates to a kind of based on intelligent factory system implementation gas meter solidification library of three-dimensional unmanned management method, including intelligent factory system, solidification library of three-dimensional, warehouse management system, temperature and humidity sensor and heating humidification equipment.The control flow in the above method is as follows: (1), MES system controls process, sends solidification task to wms system;(2), wms system is fully solidified by setting location and control moving rate and "first in first out" strategy, so that gas meter shell;(3), MES system controls specific temperature and humidity interval by solidification library logistics partition and gradient parameter, ensures process required environment;(4), MES system judges process qualification by entry and exit time stamp and solidification environment history curve;(5), process is repeated cycle, realizes unmanned management.The present application realizes entering, control, judgment and other links automatically by MES system, so that the quality of gas meter upper and lower shell sealing is stable and controllable, and production efficiency is significantly improved.

Description

Technical Field

[0001] This invention belongs to the field of gas meter manufacturing technology, specifically relating to an unmanned management method for a three-dimensional curing warehouse for moisture (water) curing of the upper and lower casings of a gas meter based on a smart factory system. Background Technology

[0002] The sealing performance of a gas meter's base directly determines its metering accuracy and lifespan. Currently, the gas meter manufacturing industry commonly uses single-component polyurethane sealant for bonding and sealing the upper and lower casings. The curing reaction of polyurethane sealant depends on ambient temperature and moisture in the air; that is, the curing process of the gas meter's upper and lower casings is water-absorbing. The process requires a temperature of 20-25℃ and humidity of 45%-75%. During the curing process, as moisture is absorbed, the temperature will increase. If the temperature and humidity deviate from the suitable range, it will cause a series of quality problems. (1) Temperature is too low: the curing reaction rate decreases significantly, the production cycle is prolonged, and the production capacity is affected; (2) Excessive temperature: uneven curing of the adhesive layer can easily generate internal stress, leading to seal failure; (3) Low humidity: Insufficient moisture supply prevents the adhesive layer from fully cross-linking, resulting in delamination, cracking, and substandard sealing performance; (4) Excessive humidity: The adhesive layer expands excessively, resulting in defects such as glue overflow and glue beads being squeezed out, which affects the assembly accuracy and appearance of the watch case.

[0003] Existing production models rely heavily on manual inspections and experience-based judgments, which cannot achieve continuous and accurate temperature and humidity monitoring and automatic adjustment. This results in problems such as large parameter fluctuations, low production efficiency, and high labor costs. The digital monitoring systems used by some companies are mostly single-control systems within the automated warehouse. These systems can lead to uneven temperature and humidity distribution in different areas due to space constraints and air convection, which in turn affects the consistency of adhesive curing. Summary of the Invention

[0004] The purpose of this invention is to provide a method for unmanned management of a three-dimensional curing warehouse for gas meters based on a smart factory system (MES system), in order to overcome the shortcomings of the aforementioned process. This method employs an independent temperature and humidity control scheme with three-dimensional spatial partitioning of the curing warehouse, and utilizes an automated and intelligent temperature and humidity control system, as well as logistics partitioning and gradient parameters, to ensure the stability and reliability of the gas meter sealing process.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows.

[0006] A method for unmanned management of a three-dimensional solidified gas meter storage facility based on a smart factory system is described below: (1) The MES system controls the process and sends the solidified task to the warehouse management system (WMS system). (2) The warehouse management system (WMS) ensures that the gas meter casing is fully solidified by setting storage locations, controlling movement speed, and implementing a "first-in, first-out" strategy; (3) The MES system controls specific temperature and humidity ranges through the three-dimensional solidification warehouse logistics zoning and gradient parameters to ensure the environment required for the process; (4) The MES system judges the process qualification by entering and exiting time stamps and curing environment history curves; (5) The process is repeated and cyclical, realizing unmanned management. This invention automatically realizes the entry, control and judgment links through the MES system, so that the sealing quality of the upper and lower shells of the gas meter is stable and controllable, and the production efficiency is significantly improved.

[0007] The above method employs a three-dimensional solidified control system consisting of five parts: a data acquisition layer, a data transmission layer, a data processing layer, an execution control layer, and a front-end display layer. This system enables solidified control of the upper and lower casings of the gas meter. The working methods of each part are as follows: (1) Data acquisition layer: Divide into 3 independent solidification control areas according to the number of rows of the three-dimensional solidification warehouse shelves, the number of columns in each row, the number of layers in each column and the front and back depth. Temperature and humidity sensors are evenly arranged. The sensors adopt industrial-grade high-precision probes with measurement accuracy of: temperature ±0.2℃, humidity ±2%RH. They are equipped with Ethernet communication modules and support TCP / IP protocol. (2) Data transmission layer: The sensor is connected to the field switch via network cable, and the real-time temperature and humidity data is uploaded to the database server via the enterprise intranet. The data upload frequency is once per minute to ensure the timeliness of the data; (3) Data processing layer: Deploy the smart factory system (MES system) and the website server. The website server extracts temperature and humidity data from the database every minute. The MES system has a built-in threshold judgment module: preset threshold: temperature 20℃-25℃, humidity 45%-75%; real-time comparison: compare the collected data with the threshold to determine whether it exceeds the allowable range; anomaly handling: if the data exceeds the threshold, an adjustment instruction is generated immediately. (4) Execution control layer: The MES system sends control commands to the on-site heating and humidifying equipment through a fixed IP communication protocol to achieve precise adjustment: if the temperature is too high: start the humidifying equipment; if the temperature is too low: start the heating equipment; (5) Front-end display layer: Real-time display of temperature and humidity data, equipment operating status and abnormal alarm information at each point of the three-dimensional curing warehouse through web pages, mobile terminals, electronic billboards, industrial touch screen all-in-one machines, etc. Supports historical data query and curve analysis, which facilitates monitoring and traceability by production personnel.

[0008] In the above method, the specific method in the data acquisition layer is as follows: (1) Sensor deployment: At least 6 sets of temperature and humidity sensors are deployed in each control area to collect environmental data in real time. (2) Three-dimensional model establishment: The control system has a built-in three-dimensional temperature and humidity field model of solidification library, updates the data of each unit in real time, and generates temperature and humidity distribution cloud map; (3) Independent zone control: For units with high temperature, the corresponding humidification equipment is turned on separately, while other areas remain unchanged; for units with high humidity, the heating equipment is turned on separately; local guide fans are added to deliver air to units with large temperature and humidity deviations in a directional manner to quickly balance environmental parameters. (4) Global coordination: While each unit is controlled independently, gradient parameters are set to reduce interference in each area and maintain the environmental stability of the overall three-dimensional solidification chamber.

[0009] The control flow in the above method is as follows: (1) Data acquisition: Temperature and humidity sensors collect temperature and humidity data at various points in the three-dimensional curing chamber in real time; (2) Data upload: The sensor packages the data and uploads it to the database server for storage via the switch; (3) Data extraction: The front-end website server pulls the latest temperature and humidity data from the database every minute; (4) Threshold judgment: The threshold judgment module of the MES system compares the collected data with the preset threshold to determine whether it is compliant: compliant: no adjustment command is triggered and monitoring continues; non-compliant: the corresponding temperature and humidity adjustment command is generated. (5) Command issuance: The MES system sends control commands to the heating / humidifying equipment with the corresponding fixed IP address; (6) Equipment adjustment: The on-site equipment executes the instructions to adjust the temperature and humidity inside the three-dimensional curing chamber to the threshold range; (7) Circular monitoring: The system continuously collects, uploads, judges, and adjusts data to achieve 24-hour uninterrupted closed-loop management.

[0010] In the above method, the gas meter base sealing process involves bonding the upper and lower casings of the gas meter base with a single-component polyurethane adhesive sealant. The specific process steps are as follows: (1) Case pretreatment: Clean and polish the bonding surfaces of the upper and lower case to remove oil and impurities and ensure that the roughness of the bonding surfaces meets the process requirements. (2) Applying adhesive: Use a metering adhesive application device to evenly apply single-component polyurethane sealant along the bonding surface of the casing. The thickness of the adhesive should be controlled at 3-4mm to avoid missed or broken application. (3) Assembly: The upper and lower cases are precisely aligned and assembled for initial positioning; (4) Curing: Place the base surface after shell assembly into a light-shielding three-dimensional curing chamber and let it stand for curing for ≥7 hours at 20℃-25℃ and relative humidity of 45%-75% to allow the sealant to complete the cross-linking reaction and form an elastic sealing layer. (5) Fastening: After curing, clamps are used to mechanically fasten the upper and lower casings to further strengthen the sealing structure. The beneficial effects of this invention are as follows: (1) To address the pain point of uneven temperature and humidity in traditional three-dimensional curing chambers, improve the overall environmental stability of the three-dimensional curing chamber, achieve "divide and conquer", meet the differentiated temperature and humidity requirements of products in different areas and curing stages in the chamber, ensure that products in all locations are cured in an ideal environment, improve product quality uniformity, break through the traditional overall control thinking, and propose an innovative architecture of three-dimensional partitioned independent control.

[0011] (2) The temperature and humidity of the three-dimensional curing chamber are monitored by the temperature and humidity control system, and the temperature and humidity of the three-dimensional curing chamber are automatically adjusted to find the balance point so that the temperature and humidity are always within a suitable range. This solves the problem that the existing production mode relies on manual inspection and experience judgment, which cannot achieve continuous and accurate temperature and humidity monitoring and automatic adjustment, resulting in large quality fluctuations, low production efficiency and high labor costs. It achieves accurate control of the temperature and humidity of the sealant curing environment, so that the sealing quality is stable and controllable, production efficiency is improved and the degree of automation is increased.

[0012] (3) The curing time required for the polyurethane sealant used in gas meters is 7 hours. Each gas meter has a unique ID number. By scanning the code when entering the warehouse, the MES system transmits the task to the WMS system, which then arranges the storage location and storage time. When leaving the warehouse, the code is scanned and the MES system is notified again, thus achieving the goals of automated entry and exit of the three-dimensional curing warehouse, unmanned scanning, and automated process.

[0013] (4) Smart factory system (MES system) is involved throughout the process. The system is unmanned and automatically completes functions such as warehousing and solidification, temperature and humidity adjustment, and automatic judgment of process qualification, which ensures product consistency and improves efficiency. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the area setup and the location of the temperature and humidity sensors used in the embodiments of the present invention.

[0015] Figure 2 This is a schematic diagram of existing technology processes.

[0016] Figure 3 This is a schematic diagram illustrating the relationship between MES and WMS in an embodiment of the present invention.

[0017] Figure 4 This is a diagram of the temperature and humidity control system architecture in an embodiment of the present invention.

[0018] Figure 5 This is an overall control flowchart in an embodiment of the present invention.

[0019] Figure 6 This is a schematic diagram of temperature and humidity logic control in an embodiment of the present invention. Detailed Implementation

[0020] The specific embodiments of the present invention will now be described in conjunction with the accompanying drawings and examples to provide a better understanding of the invention. Example 1

[0021] like Figures 1 to 6 The specific steps of the unmanned management method for the three-dimensional solidified warehouse of the upper and lower casings of the gas meter are as follows: (1) After the gas meter completes the gluing and shell assembly process, the MES system scans the unique ID number of the gas meter, enters the gas meter gluing and shell assembly completion information, generates the warehousing and curing control task, and sends the task to the WMS warehouse management system, and records the task initiation timestamp A1.

[0022] (2) The WMS system receives the warehousing and solidification control tasks issued by the MES system. Based on the first-in-first-out principle and combined with the real-time status of the three-dimensional solidification storage location, it automatically assigns specific row, column, and layer storage locations to the gas meters to be stored.

[0023] (3) The WMS system will send the allocated storage location information back to the MES system, and at the same time generate a record to be put into storage in the system, and complete the binding of the gas meter ID to be put into storage with the corresponding storage location.

[0024] (4) The MES system receives the storage location information returned by the WMS system and updates the full and empty status of the corresponding storage location to the on-site display system in a synchronized manner.

[0025] (5) The robotic arm neatly places the gas meter with the glued shell into a special tray. The WMS system dispatches the conveying system to transport the tray to the assigned three-dimensional curing warehouse location, and the gas meter enters the static curing state.

[0026] (6) During the static curing process, the WMS system controls the conveying system and drives the gas meters in the curing process to move slowly towards the outlet of the curing chamber in columns according to the first-in-first-out queue.

[0027] (7) The WMS system records the storage time of each gas meter in real time, and uses 7 hours as the standard storage time for solidification. When the storage time of the gas meter reaches the preset time, the gas meter in each column is pushed to the solidification warehouse outlet.

[0028] (8) The MES system initiates an outbound request, the WMS system responds to the outbound request, and the dispatching and conveying system transports the solidified gas meters out of the three-dimensional solidification warehouse in pallet units.

[0029] (9) The robotic arm grabs the gas meter on the outbound pallet and places it on the fastening station preparation line. It scans the gas meter one by one and uploads the scan information to the MES system.

[0030] (10) The MES system obtains the current timestamp A2, calculates the time difference between A1 and A2 to verify the curing time, and determines whether the curing process is qualified by combining the temperature and humidity environmental history curve during the curing period with the controllable range. Qualified products enter the fastening process, and unqualified products are sorted and separated by the robot. At the same time, the MES system and the WMS system archive the full process data respectively, and establish a full process traceability file based on the unique ID of the gas meter. Example 2

[0031] The method for automatic detection and control of temperature and humidity in the gas meter housing curing warehouse in this embodiment includes the following specific steps: (1) Step 1: Construction and target setting of the curing environment. In the assembly workshop where a constant temperature of 20℃ has been achieved, a three-dimensional curing chamber is established to maintain a basic temperature environment above 20℃. For the curing process of polyurethane sealant (water-absorbing curing type), the core control target is set as follows: within the temperature range of 20-25℃ and humidity range of 45%-75%, the humidity and temperature are automatically balanced and regulated to deal with the coupling problem of humidity drop and temperature fluctuation in the chamber caused by the continuous absorption of water by the colloid during the curing process.

[0032] (2) Step 2: Solidification logistics zoning and gradient process design. Based on the stage characteristics of the solidification reaction, the three-dimensional solidification warehouse is logically divided into three continuous control areas along the logistics direction (from the inbound end to the outbound end), and differentiated temperature and humidity process parameters are set for each area: Entrance area: Set the temperature to 23-25℃ and the relative humidity to 70-75% to create a high-humidity environment that meets the rapid initial absorption requirements of newly installed gas meters for moisture.

[0033] Intermediate zone: Set the temperature to 22-24℃ and the relative humidity to 55-60% to create a stable environment. This serves as the core curing reaction zone, ensuring uniform reaction and preventing the colloid from drying out on the outside and remaining moist on the inside, or from generating bubbles.

[0034] Export area: The temperature is set at 20-22℃ and the relative humidity at 45-50% to create a transitional environment, allowing the gas meters that are nearing completion of curing to slowly adapt to the workshop's baseline environment before leaving the warehouse, thus reducing stress.

[0035] (3) Control of process time and logistics linkage. The conveying system in the three-dimensional curing warehouse is controlled by the WMS system, so that the pallets carrying gas meters move slowly and continuously from the entrance area to the exit area according to the "first-in, first-out" principle. The WMS system precisely controls the dwell time of each batch of products in each area by adjusting the pallet moving speed, so that it stays in the entrance area for about 2 hours, in the middle area for about 4 hours, and in the exit area for about 1 hour, thereby ensuring that the total curing time meets the preset process requirement of 7 hours.

[0036] (4) Deployment of sensing network and data acquisition. Multiple sets of temperature and humidity sensors are independently deployed in the entrance, middle and exit areas of the three-dimensional solidification warehouse to monitor the temperature and relative humidity data in each area in real time and continuously.

[0037] (5) Establish humidity-based master-slave control logic. The control system establishes a control strategy based on the temperature and relative humidity data collected in step 4. The control strategy prioritizes maintaining humidity and is implemented as follows: Main control loop (humidity control): When the real-time relative humidity of any area is lower than the lower limit set for that area (e.g., the entrance area is lower than 70%), the humidification equipment in that area is immediately activated to replenish the air moisture lost due to colloid hygroscopic absorption.

[0038] Slave control loop (temperature compensation): The heating equipment in a certain area will only be activated to compensate for the temperature rise when the relative humidity of that area meets the set requirements, but the actual temperature is lower than the set lower limit of that area. It is strictly forbidden to operate the heating equipment to raise the temperature when the relative humidity does not meet the requirements.

[0039] (6) Protective intervention for temperature and humidity coupling imbalance. Set up a linkage protection mechanism: When the temperature in any area is detected to rise abnormally due to disturbance (such as moisture absorption leading to latent heat release, equipment heating, etc.) and exceeds the safety threshold (such as 25°C), the threshold judgment module of MES will alarm, and the control system will immediately execute the protection procedure: ① Stop the operation of the heating equipment in that area; ② Automatically start the fresh air system to introduce lower temperature air according to the external environmental conditions, or ③ Increase the humidification capacity of the humidification equipment and use the principle of water evaporation heat absorption to quickly cool down, thereby blocking the vicious cycle of "humidity decrease → temperature increase". Example 3

[0040] In this embodiment, the MES system automatically performs process qualification judgment, and the specific steps are as follows: (1) The WMS system dynamically optimizes the allocation of storage locations. When the WMS system receives the warehousing task issued by the MES and allocates specific storage locations (rows / columns / layers), in addition to following the "first-in, first-out" principle, it also prioritizes allocating newly added gas meters to storage locations with higher real-time humidity (such as storage locations in the entrance area with humidity closer to 75%), so as to achieve uniform distribution of humidification load and process consistency.

[0041] (2) Binding and recording of process data throughout the entire process. When the gas meter is put into storage (timestamp A1 is generated) and taken out of storage (timestamp A2 is generated), the MES system binds its unique identity ID by scanning the code. At the same time, the MES system automatically collects and records the temperature and humidity change curves during the time period from A1 to A2.

[0042] (3) Process quality assessment based on multi-dimensional data. When scanning the barcode of products upon shipment, the MES system performs automated process qualification assessment based on the data recorded in step 2. The assessment logic includes: Time compliance determination: Calculate the time difference between A1 and A2 to determine whether the total curing time meets the requirements (e.g., ≥7 hours).

[0043] Process effectiveness assessment: By analyzing the curing environment history curve, ensure that the temperature remains within the effective range of 20-25℃ throughout the process; calculate the cumulative effective humidity time, i.e., the cumulative time during which the relative humidity of the environment in which the product is located is not lower than the lower limit of the process requirement (e.g., 45%), to determine whether its moisture absorption is sufficient. If both meet the standards, the curing process is deemed qualified.

[0044] (4) Construct a full-process quality traceability chain. The MES system archives the curing time, environmental history curve and process judgment results of each gas meter; the WMS system archives its storage location allocation, movement trajectory and entry and exit time. The data of the two systems are linked and synchronized through the product's unique ID, forming a complete integrated data chain of "process execution-inventory circulation", realizing accurate two-way traceability from curing environmental parameters to final product quality.

[0045] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for unmanned management of a three-dimensional solidified gas meter storage facility based on a smart factory system, characterized in that: The process is as follows: (1) The MES system controls the process and sends the solidification task to the WMS system; (2) The WMS system ensures that the gas meter casing is fully solidified by setting storage locations, controlling movement speed, and using a "first-in, first-out" strategy; (3) The MES system controls specific temperature and humidity ranges through the three-dimensional solidification warehouse logistics zoning and gradient parameters to ensure the environment required for the process; (4) The MES system judges the process qualification by entering and exiting time stamps and curing environment history curves; (5) The process is repeated and cyclical to achieve unmanned management. This invention automatically realizes the entry, control and judgment links through the MES system, so that the sealing quality of the upper and lower shells of the gas meter is stable and controllable and the production efficiency is significantly improved.

2. The method for unmanned management of a three-dimensional solidified gas meter warehouse based on a smart factory system as described in claim 1, characterized in that: The method employs a three-dimensional solidified control system consisting of five parts: a data acquisition layer, a data transmission layer, a data processing layer, an execution control layer, and a front-end display layer. This system enables solidified control of the upper and lower casings of the gas meter. The working methods of each part are as follows: (1) Data acquisition layer: Divide into 3 independent solidification control areas according to the number of rows of the three-dimensional solidification warehouse shelves, the number of columns in each row, the number of layers in each column and the front and back depth. Temperature and humidity sensors are evenly arranged. The sensors adopt industrial-grade high-precision probes with measurement accuracy of: temperature ±0.2℃, humidity ±2%RH. They are equipped with Ethernet communication modules and support TCP / IP protocol. (2) Data transmission layer: The sensor is connected to the field switch via network cable, and the real-time temperature and humidity data is uploaded to the database server via the enterprise intranet. The data upload frequency is once per minute to ensure the timeliness of the data; (3) Data processing layer: Deploy the smart factory system (MES system) and website server. The website server extracts temperature and humidity data from the database every minute. The MES system has a built-in threshold judgment module: preset threshold: temperature 20℃-25℃, humidity 45%-75%; real-time comparison: compare the collected data with the threshold to determine whether it is compliant (not exceeding the threshold range); anomaly handling: if the data is not compliant (exceeds the threshold), an adjustment instruction is generated immediately. (4) Execution control layer: The MES system sends control commands to the on-site heating and dehumidification equipment through a fixed IP communication protocol to achieve precise adjustment: if the temperature is too high: start the humidification equipment; if the temperature is too low: start the heating equipment. (5) Front-end display layer: Real-time display of temperature and humidity data, equipment operating status and abnormal alarm information at each point of the three-dimensional curing warehouse through web pages, mobile terminals, electronic billboards, industrial touch screen all-in-one machines, etc. Supports historical data query and curve analysis, which is convenient for production personnel to monitor and trace.

3. The method for unmanned management of a three-dimensional solidified gas meter warehouse based on a smart factory system as described in claim 2, characterized in that: In the aforementioned method, the data acquisition layer specifically employs the following methods: (1) Sensor deployment: At least 6 sets of temperature and humidity sensors shall be deployed in each control area to collect environmental data in real time; (2) Three-dimensional model establishment: The control system has a built-in three-dimensional temperature and humidity field model of solidification library, updates the data of each area in real time, and generates temperature and humidity distribution cloud map; (3) Independent zone control: For areas with high temperature, the corresponding humidification equipment is turned on separately, while other areas remain unchanged; for areas with high humidity, the heating equipment is turned on separately; local guide fans are added to deliver air in a directional manner to areas with large temperature and humidity deviations, so as to quickly balance environmental parameters. (4) Global coordination: While each region is controlled independently, gradient parameters are set to reduce interference in each region and maintain the environmental stability of the overall three-dimensional solidification chamber.

4. The method for unmanned management of a three-dimensional solidified gas meter warehouse based on a smart factory system as described in claim 2, characterized in that: In the method described above, the control flow is as follows: (1) Data acquisition: Temperature and humidity sensors collect temperature and humidity data at various points in the three-dimensional curing chamber in real time; (2) Data upload: The sensor packages the data and uploads it to the database server for storage via the switch; (3) Data extraction: The front-end website server pulls the latest temperature and humidity data from the database every minute; (4) Threshold judgment: The threshold judgment module of the MES system compares the collected data with the preset threshold to determine whether it is compliant: compliant: no adjustment command is triggered and monitoring continues; non-compliant: the corresponding temperature and humidity adjustment command is generated. (5) Command issuance: The MES system sends control commands to the heating / humidifying equipment with the corresponding fixed IP address; (6) Equipment adjustment: The on-site equipment executes the instructions to adjust the temperature and humidity inside the three-dimensional curing chamber to the threshold range; (7) Circular monitoring: The system continuously collects, uploads, judges, and adjusts data to achieve 24-hour uninterrupted closed-loop management.

5. The method for unmanned management of a three-dimensional solidified gas meter warehouse based on a smart factory system as described in claim 2, characterized in that: In the method described above, the gas meter base sealing process involves bonding the upper and lower casings of the gas meter base with a single-component polyurethane adhesive sealant. The specific process steps are as follows: (1) Case pretreatment: Clean and polish the bonding surfaces of the upper and lower case to remove oil and impurities and ensure that the roughness of the bonding surfaces meets the process requirements. (2) Applying adhesive: Use a metering adhesive application device to evenly apply single-component polyurethane sealant along the bonding surface of the casing. The thickness of the adhesive should be controlled at 3-4mm to avoid missed or broken application. (3) Assembly: The upper and lower cases are precisely aligned and assembled for initial positioning; (4) Curing: Place the assembled base surface into a three-dimensional curing chamber and let it stand for curing for ≥7 hours at 20℃-25℃ and relative humidity of 45%-75% to allow the sealant to complete the cross-linking reaction and form an elastic sealing layer. (5) Fastening: After curing, clamps are used to mechanically fasten the upper and lower casings to further strengthen the sealing structure.

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