A helium filling method and system
By acquiring historical data and calculating optimal filling parameters using a comprehensive weighted method, combined with real-time monitoring and adjustment, the problems of insufficient resource utilization and safety risks during helium filling were solved, achieving efficient and safe helium filling.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 广州广钢气体能源股份有限公司
- Filing Date
- 2023-12-07
- Publication Date
- 2026-07-03
Smart Images

Figure CN117906048B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of helium filling technology, and in particular to a helium filling method and system. Background Technology
[0002] Helium, as an important economic and strategic resource, has a wide range of applications. Globally, 20% of helium is used in magnetic resonance imaging (MRI). Because of its notoriously low boiling point, almost reaching absolute zero, helium can continuously provide a strong magnetic field to keep superconducting materials running mechanically by placing them in liquid nitrogen. Therefore, it is used as a pressurizing agent in rocket liquid fuel, a protective gas in smelting and welding, a filling gas for light bulbs, and oxygen cylinders in submarine operations, among many other applications. Helium is thus often referred to as the "blood" of industry. Consequently, helium needs to be transported worldwide in bottles for use in need. However, helium filling is a complex task requiring highly specialized skills.
[0003] Currently, helium filling is primarily done manually, resulting in low integration and inefficient resource utilization. Problems include long filling times, poor filling quality, high energy consumption, and high costs. Helium filling is a highly skilled job, and the inability to operate with optimal parameters leads to prolonged filling times, low efficiency, and poor quality. Therefore, it demands high operator skill, hindering large-scale helium filling and increasing costs. Intelligentization is an inevitable trend in industrial development. Achieving intelligentization not only saves labor costs and frees up manual labor but also reduces energy consumption. Since energy conservation is essential for business survival, helium filling should also utilize intelligent methods to improve efficiency.
[0004] The prior art discloses an industrial helium fully automatic filling device and its filling method, including the following steps: S1, placing an empty gas cylinder on a fixed plate and making the bottom of the gas cylinder contact the first rotating plate; S2, controlling the rotation of the fixed plate to move the first rotating plate above the second rotating plate, at which point the first rotating plate and the second rotating plate are coaxial and in contact, controlling the rotation of the second rotating plate to make the first rotating plate in contact with the second rotating plate rotate, and connecting the filling port of the gas gun to the input port of the gas cylinder located above the second rotating plate through the filling assembly; S3, the gas gun fills the gas cylinder, controlling the filling pressure by controlling the reference temperature and not exceeding 2 / 3 of P0, the weight of the gas cylinder increases, thereby moving the first and second rotating plates downward; where P0 is the allowable pressure (absolute) of the gas cylinder, in megapascals (MPa); S4, after the first rotating plate moves down to the rated distance, the fixed plate is rotated again, the gas cylinder that has completed the filling work is removed from the filling assembly, and the first rotating plate carrying the unfilled gas cylinder moves to the second rotating plate for filling operation. This patent controls the filling pressure during filling by maintaining a reference temperature of 20°C and not exceeding 2 / 3 of P0. It calculates the filling temperature using a unified formula based on the ambient temperature and the temperature of the filling gas, and then calculates the filling pressure based on that temperature. While this patent calculates filling parameters using a uniform process for each filling, discrepancies exist between actual filling conditions and theoretical calculations. Furthermore, it fails to consider the actual filling environment, resulting in inconsistent filling quality and certain safety risks. Summary of the Invention
[0005] The purpose of this invention is to provide a high-quality helium filling method and system with low safety risks.
[0006] To achieve the above objectives, the present invention provides a helium filling method, comprising:
[0007] S1: Inspect the gas cylinder;
[0008] S2: Pre-filling treatment of gas cylinders;
[0009] S3: Obtain historical filling data, which includes multiple filling parameters. With filling time as the main optimization objective, calculate the evaluation score for each combination of filling parameters using a comprehensive weighted method, and select the filling parameter combination with the highest evaluation score as the optimal filling parameter combination.
[0010] S4: Fill according to the optimal filling parameter combination obtained in step S3, and record the actual filling situation of the optimal filling parameter combination and add it to the historical filling data.
[0011] As a preferred option, in step S1, the consistency between the filling gas and the gas cylinder, the ownership of the gas cylinder, the expiration date of the gas cylinder, and the compatibility between the gas cylinder / valve and the gas are checked.
[0012] As a preferred embodiment, in step S2, the pre-filling treatment includes: if the gas cylinder is a new cylinder or the filling gas is an oxidizing gas or a flammable gas, the gas cylinder needs to be evacuated and purged; if the filling gas is a high-purity gas or a mixed gas, the gas cylinder needs to be purged and purged, the filling valve assembly and manifold need to be evacuated, and the filling valve assembly and manifold need to be purged and purged as needed.
[0013] As a preferred embodiment, in step S2, before filling, the temperature consistency of the gas cylinder body and the sealing performance of the cylinder valve and each connection part are checked; in step S4, during the filling process, the temperature consistency of the gas cylinder body and the sealing performance of the cylinder valve and each connection part are monitored.
[0014] As a preferred embodiment, in step S3, the filling parameters include filling time, filling pressure, filling temperature, and the direction and angle of the filling control valve.
[0015] As a preferred embodiment, step S3 includes:
[0016] S301. The mathematical model for the comprehensive weighted method is determined as follows:
[0017] ;
[0018] in, This represents the i-th filling parameter, which includes filling time, filling pressure, filling temperature, and the direction and angle of the filling control valve. These represent the weighting coefficients for these filling parameters;
[0019] S302. Obtain historical filling data, which includes multiple filling parameters. The filling parameters are grouped according to working conditions and formed into a data matrix. Data standardization is performed to unify the parameter units.
[0020] S303, According to the entropy calculation formula Where n represents the number of samples, i.e., the different sample identifiers based on local working conditions, represented by the number of rows or columns of the matrix, X ij Let j represent the j-th value of the i-th sample. The value of j mainly represents the pressure, temperature, and the direction and angle of the control valve during filling. Calculate the entropy value for each set of parameters. The smaller the entropy value, the higher the weight ratio and the greater the dominance of the sub-objective over the overall objective; the larger the entropy value, the smaller the weight ratio and the less dominance of the sub-objective over the overall objective.
[0021] S304. Calculation formula based on information entropy redundancy and index weight. Determine the weights for each set of parameters;
[0022] S305, Based on the single-index evaluation formula Calculate the evaluation score for each set of parameters;
[0023] S306. Output the optimal parameter combination based on the evaluation score.
[0024] As a preferred embodiment, in step S3, it is determined whether historical filling data exists for the filling gas. If so, the historical filling data is obtained, and the evaluation score for each combination of filling parameters is calculated using a comprehensive weighted method with filling time as the main optimization objective. The filling parameter combination with the highest evaluation score is selected as the optimal filling parameter combination. If not, the initial filling parameters are calculated based on the composition of the filling gas using single / mixed gas thermodynamics. The initial filling parameters include the filling pressure, filling temperature, verification ambient temperature, and temperature rise during the filling process at different temperatures, and saturated vapor pressure verification is performed. Gas filling is then carried out based on the calculated initial filling parameters.
[0025] As a preferred option, in step S4, during filling, the temperature consistency of the gas cylinder body, the sealing of the cylinder valve and each connection part are checked, and the gas flow rate is controlled in real time and the filling temperature is calculated.
[0026] The present invention also provides a helium filling system, comprising:
[0027] Inspection module, used to inspect gas cylinders;
[0028] The pre-filling treatment module is used to process gas cylinders before filling.
[0029] The control module is used to acquire historical filling data, which includes multiple filling parameters. With filling time as the main optimization objective, the module calculates the evaluation score of each combination of filling parameters using a comprehensive weighting method, and selects the filling parameter combination with the highest evaluation score as the optimal filling parameter combination.
[0030] A filling module is used to fill according to the optimal combination of filling parameters obtained by the control module;
[0031] The data acquisition module is used to collect data on the filling process.
[0032] As a preferred embodiment, the control module includes a recipe creation and management unit, a single / mixed gas thermodynamic calculation unit, an equipment status monitoring and remote assistance unit, and an algorithm unit.
[0033] The formula creation and management unit is used to set and manage the proportion of filling gas components according to the customer's requirements;
[0034] The single / mixed gas thermodynamic calculation unit is used to calculate the initial filling parameters based on the composition of the filling gas using single / mixed gas thermodynamics. The initial filling parameters include the filling pressure, filling temperature, verification ambient temperature, and temperature rise during the filling process at different temperatures, and perform saturated vapor pressure verification.
[0035] The algorithm unit is used to acquire historical filling data, which includes multiple filling parameters. With filling time as the main optimization objective, the algorithm calculates the evaluation score of each combination of filling parameters using a comprehensive weighting method, and selects the filling parameter combination with the highest evaluation score as the optimal filling parameter combination.
[0036] The filling module includes a drive unit, a device unit, and a monitoring unit.
[0037] The drive unit is used to drive the device unit to perform filling according to the optimal filling parameter combination obtained by the control module.
[0038] The monitoring unit is used to monitor the operating status of the equipment unit in real time.
[0039] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0040] This invention optimizes filling time as the primary objective by using a comprehensive weighted method to calculate the evaluation score for each combination of filling parameters based on historical filling data. The combination with the highest evaluation score is selected as the optimal filling parameter combination. This approach yields filling parameters that better match the actual filling environment. Furthermore, during subsequent filling processes, the filling parameters are continuously adjusted and optimized based on historical filling data to obtain the optimal filling parameters. This results in more accurate and higher-quality filling, improved filling efficiency, reduced gas venting losses, lower operating costs, and reduced safety risks. Attached Figure Description
[0041] Figure 1 This is a flowchart of a helium filling method according to an embodiment of the present invention.
[0042] Figure 2 This is a schematic diagram of the helium filling system according to an embodiment of the present invention.
[0043] Figure 3 This is a schematic diagram of the helium filling system according to an embodiment of the present invention. Detailed Implementation
[0044] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.
[0045] Example 1
[0046] like Figure 1 As shown, a preferred embodiment of the present invention provides a helium filling method, comprising:
[0047] S1: Inspect the gas cylinder;
[0048] S2: Pre-filling treatment of gas cylinders;
[0049] S3: Obtain historical filling data, which includes multiple filling parameters. With filling time as the main optimization objective, calculate the evaluation score for each combination of filling parameters using a comprehensive weighted method, and select the filling parameter combination with the highest evaluation score as the optimal filling parameter combination.
[0050] S4: Fill according to the optimal filling parameter combination obtained in step S3, and record the actual filling situation of the optimal filling parameter combination and add it to the historical filling data.
[0051] This embodiment uses filling time as the primary optimization objective. It calculates the evaluation score for each combination of filling parameters using a comprehensive weighted method based on historical filling data. The combination with the highest evaluation score is selected as the optimal filling parameter combination. This approach yields filling parameters that better match the actual filling environment. Furthermore, during subsequent filling processes, the filling parameters are continuously adjusted and optimized based on historical filling data to obtain the optimal filling parameters. This results in more accurate and higher-quality filling, improved filling efficiency, reduced gas venting losses, lower operating costs, and reduced safety risks.
[0052] In step S1 of this embodiment, the consistency between the filling gas and the gas cylinder, the ownership of the gas cylinder, the validity period of the gas cylinder, and the compatibility between the gas cylinder / valve and the gas are checked.
[0053] Specifically, in step S2, the pre-filling treatment includes: if the gas cylinder is a new cylinder or the filling gas is an oxidizing gas or a flammable gas, the gas cylinder needs to be evacuated, purged, and replaced; if the filling gas is a high-purity gas or a mixed gas, the gas cylinder needs to be purged and replaced, the filling valve assembly and manifold need to be evacuated, and the filling valve assembly and manifold need to be purged and replaced as needed.
[0054] In addition, in step S2, before filling, the temperature consistency of the gas cylinder body and the sealing of the cylinder valve and each connection part are checked; in step S4, during the filling process, the temperature consistency of the gas cylinder body and the sealing of the cylinder valve and each connection part are monitored.
[0055] In step S3, the filling parameters include filling time, filling pressure, filling temperature, and the direction and angle of the filling control valve.
[0056] Therefore, step S3 includes:
[0057] S301. The mathematical model for the comprehensive weighted method is determined as follows:
[0058] ;
[0059] in, This represents the i-th filling parameter, which includes filling time, filling pressure, filling temperature, and the direction and angle of the filling control valve. These represent the weighting coefficients for these filling parameters;
[0060] S302. Obtain historical filling data, which includes multiple filling parameters. The filling parameters are grouped according to working conditions and formed into a data matrix. Data standardization is performed to unify the parameter units.
[0061] S303, According to the entropy calculation formula Where n represents the number of samples, i.e., the different sample identifiers based on local working conditions, represented by the number of rows or columns of the matrix, X ij Let j represent the j-th value of the i-th sample. The value of j mainly represents the pressure, temperature, and the direction and angle of the control valve during filling. Calculate the entropy value for each set of parameters. The smaller the entropy value, the higher the weight ratio and the greater the dominance of the sub-objective over the overall objective; the larger the entropy value, the smaller the weight ratio and the less dominance of the sub-objective over the overall objective.
[0062] S304. Calculation formula based on information entropy redundancy and index weight. Determine the weights for each set of parameters;
[0063] S305, Based on the single-index evaluation formula Calculate the evaluation score for each set of parameters;
[0064] S306. Output the optimal parameter combination based on the evaluation score.
[0065] The optimal parameter combination output from step S3 is then input into the inflation control device, driving the inflation control valve to adjust its direction and angle, thereby regulating the entire filling process to achieve fast, efficient, and high-quality filling. These filling parameters and real-time filling status are also monitored and recorded.
[0066] If the system is being used for the first time, or the mixed gas formula being filled is being created for the first time, and there is no historical filling data, in step S3, it is determined whether there is historical filling data for the filling gas. If so, the historical filling data is obtained, and the evaluation score for each combination of filling parameters is calculated using a comprehensive weighted method with filling time as the main optimization objective. The filling parameter combination with the highest evaluation score is selected as the optimal filling parameter combination. If not, the initial filling parameters are calculated based on the composition of the filling gas using single / mixed gas thermodynamics. The initial filling parameters include the filling pressure, filling temperature, verification ambient temperature, and temperature rise during the filling process at different temperatures, and saturated vapor pressure verification is performed. Gas filling is then carried out based on the calculated initial filling parameters.
[0067] In addition, in step S4, during filling, the temperature consistency of the gas cylinder body, the sealing of the cylinder valve and each connection part are checked, and the gas flow rate is controlled in real time and the filling temperature is calculated.
[0068] The filling steps in this embodiment are as follows:
[0069] S1: Check the gas cylinder: In this embodiment, before filling, the gas cylinder management software is used to check the consistency between the filling gas and the gas cylinder, the ownership of the gas cylinder, the validity period of the gas cylinder, and the compatibility between the gas cylinder / valve and the gas.
[0070] S2: Pre-filling treatment of gas cylinders: (1) Anti-freezing treatment. (2) If it is a new cylinder, oxidizing gas, or flammable gas, the cylinder needs to be evacuated and purged; if it is high-purity gas or mixed gas, the cylinder needs to be purged and purged, the filling valve group and manifold need to be evacuated, and the filling valve group and manifold need to be purged and purged as needed. (3) All others need to be checked for consistent cylinder temperature using infrared scanning temperature measurement equipment, and the sealing of cylinder valves and various connection parts needs to be checked using leak detection instruments.
[0071] S3: Obtain filling parameters: If there is no historical data, calculate the filling pressure at different temperatures using gas software, perform saturated vapor pressure verification, calculate the filling temperature, verify the ambient temperature, and calculate the temperature rise during the filling process; if there is historical data, calculate the pressure, temperature, and control valve rotation and angle parameters inside the bottle during filling using a comprehensive weighted method, with filling time as the main optimization objective.
[0072] S4: Fill according to the obtained filling parameters, and simultaneously record the actual filling situation of the optimal filling parameter combination and add it to the historical filling data. During filling, control the filling amount, with a reference temperature of 20℃, and not exceeding 2 / 3 of the cylinder water pressure test pressure. Record the filling date, cylinder number, room temperature, filling medium (i.e., the composition formula of the gas being filled), filling pressure, filling start and end time, filling personnel, and any abnormalities during filling.
[0073] In addition, after filling is completed, the gas cylinder is sampled, analyzed, and a report is generated.
[0074] Example 2
[0075] like Figure 2 As shown, this embodiment provides a helium filling system, including:
[0076] Inspection module, used to inspect gas cylinders;
[0077] The pre-filling treatment module is used to process gas cylinders before filling.
[0078] The control module is used to acquire historical filling data, which includes multiple filling parameters. With filling time as the main optimization objective, the module calculates the evaluation score of each combination of filling parameters using a comprehensive weighting method, and selects the filling parameter combination with the highest evaluation score as the optimal filling parameter combination.
[0079] A filling module is used to fill according to the optimal combination of filling parameters obtained by the control module;
[0080] The data acquisition module is used to collect data on the filling process.
[0081] Furthermore, the control module in this embodiment includes a recipe creation and management unit, a single / mixed gas thermodynamic calculation unit, an equipment status monitoring and remote assistance unit, and an algorithm unit.
[0082] The formula creation and management unit is used to set and manage the proportion of filling gas components according to the customer's requirements;
[0083] The single / mixed gas thermodynamic calculation unit is used to calculate the initial filling parameters based on the composition of the filling gas using single / mixed gas thermodynamics. The initial filling parameters include the filling pressure, filling temperature, verification ambient temperature, and temperature rise during the filling process at different temperatures, and perform saturated vapor pressure verification.
[0084] The algorithm unit is used to acquire historical filling data, which includes multiple filling parameters. With filling time as the main optimization objective, the algorithm calculates the evaluation score of each combination of filling parameters using a comprehensive weighting method, and selects the filling parameter combination with the highest evaluation score as the optimal filling parameter combination.
[0085] The filling module includes a drive unit, a device unit, and a monitoring unit.
[0086] The drive unit is used to drive the device unit to perform filling according to the optimal filling parameter combination obtained by the control module.
[0087] The monitoring unit is used to monitor the operating status of the equipment unit in real time.
[0088] Example 3
[0089] like Figure 3 As shown, based on Embodiment 2, this embodiment further describes the helium filling system.
[0090] In this embodiment, the control module adopts a SCADA system. The main functions of the SCADA system include: recipe creation and management, single / mixed gas thermodynamic calculation, customer and permission settings, equipment status monitoring, remote assistance, system operating parameter setting, system operating status recording, and filling report generation and management. Recipe creation and management mainly involves setting and managing the proportion of filling gas components according to customer requirements; single / mixed gas thermodynamic calculation mainly involves calculating the filling pressure at different temperatures using gas software, performing saturated vapor pressure verification, and calculating the filling temperature, verification environment temperature, and temperature rise during the filling process; equipment status monitoring and remote assistance mainly involve real-time detection of the operating status of various equipment during the filling process and collecting temperature and pressure values during the filling process.
[0091] The filling module in this embodiment employs a CCP and FCP system. The main functions of the CCP and FCP system include: driving the coordinated operation of various devices (including compressors, filling control valves, vacuum pumps, etc.) according to the formula data transmitted from the SCADA system, and monitoring the operating status of each device in real time. Based on the formula flow and parameters, combined with on-site measured temperature and pressure information, dynamic control is performed to accurately realize each filling step. In case of any abnormalities occurring during the process, the control system immediately enters a safety state to protect equipment and personnel, and generates an alarm.
[0092] In addition, this embodiment also employs a display module, which is used to display the composition of the filling gas and the monitoring status of the filling process. The display module uses FOP (Film Optical Panels), and in this embodiment, the FOP consists of an industrial-grade color touch screen and corresponding power supply, bus, and mechanical units, serving as the interface between the entire system and the customer's field. The industrial gas recipe created by the SCADA system will be retrieved on this display screen, and the filling operator can select the required recipe to operate according to the specific work task. Furthermore, this display screen will show the system's operating status and remind the operator of necessary precautions and the causes of malfunctions.
[0093] The other components of this embodiment are the same as those in Embodiment 2, and will not be described again here.
[0094] In summary, this invention provides a helium filling method that, with filling time as the primary optimization objective, calculates an evaluation score for each combination of filling parameters using a comprehensive weighted method based on historical filling data. The method selects the combination with the highest evaluation score as the optimal filling parameter combination, thus obtaining filling parameters that better match the actual filling environment. Furthermore, during subsequent filling processes, the filling parameters are continuously adjusted and optimized based on historical filling data to obtain the optimal filling parameters. This results in more accurate and higher-quality filling, improved filling efficiency, reduced gas venting losses, lower operating costs, and reduced safety risks. This invention also provides a filling system for implementing the above method.
[0095] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be considered within the scope of protection of the present invention.
Claims
1. A method of helium charging, characterized by, include: S1: Inspect the gas cylinder; S2: Pre-filling treatment of gas cylinders; S3: Obtain historical filling data, using filling time as the primary optimization objective, calculate the evaluation score for each combination of filling parameters using a comprehensive weighted method, and select the filling parameter combination with the highest evaluation score as the optimal filling parameter combination; step S3 includes: S301. The mathematical model for the comprehensive weighted method is determined as follows: ; wherein, denotes the i-th filling parameter, the filling parameters including filling time, filling pressure, filling temperature, steering and angle of a filling control valve; denotes a weight coefficient of these filling parameters; S302. Obtain historical filling data, which includes multiple filling parameters. The filling parameters are grouped according to working conditions and formed into a data matrix. Data standardization is performed to unify the parameter units. S303, According to the entropy calculation formula Where n represents the number of samples, i.e., the different sample identifiers based on local working conditions, represented by the number of rows or columns of the matrix, X ij Let j represent the j-th value of the i-th sample. The value of j mainly represents the pressure, temperature, and the direction and angle of the control valve during filling. Calculate the entropy value for each set of parameters. The smaller the entropy value, the higher the weight ratio and the greater the dominance of the sub-objective over the overall objective. The larger the entropy value, the smaller the weight ratio and the less dominance of the sub-objective over the overall objective. S304. Calculation formula based on information entropy redundancy and index weight. Determine the weights for each set of parameters; S305, Based on the single-index evaluation formula Calculate the evaluation score for each set of parameters; S306. Output the optimal parameter combination based on the evaluation score. S4: Fill according to the optimal filling parameter combination obtained in step S3, and record the actual filling situation of the optimal filling parameter combination and add it to the historical filling data.
2. The helium filling method according to claim 1, characterized in that, In step S1, the consistency between the filling gas and the gas cylinder, the ownership of the gas cylinder, the expiration date of the gas cylinder, and the compatibility between the gas cylinder / valve and the gas are checked.
3. The helium filling method according to claim 1, characterized in that, In step S2, the pre-filling treatment includes: if the gas cylinder is a new cylinder or the filling gas is an oxidizing gas or a flammable gas, the gas cylinder needs to be evacuated, purged, and replaced; if the filling gas is a high-purity gas or a mixed gas, the gas cylinder needs to be purged and replaced, the filling valve assembly and manifold need to be evacuated, and the filling valve assembly and manifold need to be purged and replaced as needed.
4. The helium filling method according to claim 1, characterized in that, In step S2, before filling, the temperature consistency of the gas cylinder body and the sealing of the cylinder valve and each connection part are checked; in step S4, during the filling process, the temperature consistency of the gas cylinder body and the sealing of the cylinder valve and each connection part are monitored.
5. The helium filling method according to claim 1, characterized in that, In step S3, it is determined whether historical filling data exists for the filling gas. If so, the historical filling data is acquired, and the evaluation score for each combination of filling parameters is calculated using a comprehensive weighted method with filling time as the main optimization objective. The filling parameter combination with the highest evaluation score is selected as the optimal filling parameter combination. If not, the initial filling parameters are calculated based on the composition of the filling gas using single / mixed gas thermodynamics. The initial filling parameters include the filling pressure, filling temperature, verification ambient temperature, and temperature rise during the filling process at different temperatures, and saturated vapor pressure verification is performed. Gas filling is then carried out based on the calculated initial filling parameters.
6. The helium filling method according to claim 1, characterized in that, In step S4, during filling, the temperature consistency of the gas cylinder body, the sealing of the cylinder valve and each connection part are checked, and the gas flow rate is controlled in real time and the filling temperature is calculated.
7. A helium filling system, based on the helium filling method according to any one of claims 1-6, characterized in that, include: Inspection module, used to inspect gas cylinders; The pre-filling treatment module is used to process gas cylinders before filling. The control module is used to acquire historical filling data, with filling time as the main optimization objective, and calculate the evaluation score of each combination of filling parameters using a comprehensive weighting method on the historical filling data, and select the filling parameter combination with the highest evaluation score as the optimal filling parameter combination. A filling module is used to fill according to the optimal combination of filling parameters obtained by the control module; The data acquisition module is used to collect data on the filling process.
8. The helium filling system according to claim 7, characterized in that, The control module includes a recipe creation and management unit, a single / mixed gas thermodynamic calculation unit, an equipment status monitoring and remote assistance unit, and an algorithm unit. The formula creation and management unit is used to set and manage the proportion of filling gas components according to the customer's requirements; The single / mixed gas thermodynamic calculation unit is used to calculate the initial filling parameters based on the composition of the filling gas using single / mixed gas thermodynamics. The initial filling parameters include the filling pressure, filling temperature, verification ambient temperature, and temperature rise during the filling process at different temperatures, and perform saturated vapor pressure verification. The algorithm unit is used to acquire historical filling data, take filling time as the main optimization objective, calculate the evaluation score of each combination of filling parameters using a comprehensive weighting method, and select the filling parameter combination with the highest evaluation score as the optimal filling parameter combination. The filling module includes a drive unit, a device unit, and a monitoring unit. The drive unit is used to drive the device unit to perform filling according to the optimal filling parameter combination obtained by the control module. The monitoring unit is used to monitor the operating status of the equipment unit in real time.