Multi-line measurement method and device for on-line analyzer of deep-cryogenic helium extraction production line

Abstract

The present disclosure provides a multi-pipeline measurement method and device for an online analyzer of a deep-cryogenic helium extraction production line, relates to the field of assay analysis technology, and aims to shorten the time required for multi-gas source measurement and improve work efficiency. The main technical scheme is as follows: obtaining gas source measurement parameters customized by a user in a configuration interface for a plurality of to-be-measured gas sources; determining the state change degree of each of the plurality of to-be-measured gas sources according to a previous assay result, and dynamically adjusting the measurement priority according to the state change degree; generating a pipeline control strategy corresponding to a plurality of target pipelines based on the measurement frequency, measurement time and adjusted measurement priority of each of the plurality of to-be-measured gas sources; using the pipeline control strategy to control the online analyzer to sequentially analyze the plurality of to-be-measured gas sources, and obtaining a current assay result corresponding to each of the plurality of to-be-measured gas sources; and sequentially performing visual display on the current assay result corresponding to each of the plurality of to-be-measured gas sources according to a preset gas source component template.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of assay analysis, and particularly relates to a multi-pipeline measurement method and device of an online analyzer for a deep-cryogenic helium extraction production line. BACKGROUND

[0002] In the deep-cryogenic helium extraction production line, gas assay analysis is a crucial task, which involves real-time monitoring and analysis of various gas components such as helium. For gas assay analysis, a gas analyzer is usually used.

[0003] At present, traditional gas analyzers are often designed as single-channel, which means that only one gas source can be delivered and analyzed through one pipeline at a time. When another gas source needs to be analyzed, the pipeline of the other gas source needs to be manually switched. However, since the gas source pipeline needs to be manually switched, when multiple gas sources need to be analyzed, the entire process lacks automation and intelligence, cannot be flexibly adjusted according to actual needs, not only consumes time and reduces work efficiency, but also increases operation complexity and cost. SUMMARY

[0004] In view of the above problems, the present disclosure provides a multi-pipeline measurement method and device of an online analyzer for a deep-cryogenic helium extraction production line, mainly aiming to shorten the time required for multi-gas source measurement, reduce operation complexity and cost, and improve work efficiency through automatic configuration and control.

[0005] To solve the above technical problems, the present disclosure proposes the following solutions:

[0006] In a first aspect, the present disclosure provides a multi-pipeline measurement method of an online analyzer for a deep-cryogenic helium extraction production line, applied to an online analyzer connected to multiple pipelines at the same time, the method comprising:

[0007] Obtaining gas source measurement parameters customized by a user in a configuration interface for a plurality of to-be-measured gas sources, the gas source measurement parameters including a plurality of target pipelines and a plurality of measurement execution rules corresponding to the to-be-measured gas sources respectively, one target pipeline corresponding to one to-be-measured gas source, and the measurement execution rule including target measurement frequency, target measurement time, and target measurement priority;

[0008] Determining the state change degree of each of the plurality of to-be-measured gas sources according to the previous assay result, and dynamically adjusting the target measurement priority according to the state change degree;

[0009] generate pipeline control strategies corresponding to the target pipelines based on the target measurement frequencies, the target measurement times, and the adjusted target measurement priorities of the respective target gas sources, the pipeline control strategies including conduction control timing sequences of solenoid valves on the target pipelines;

[0010] use the pipeline control strategies to control the online analyzer to sequentially perform assay analysis on the target gas sources, to obtain respective current assay results of the target gas sources;

[0011] According to the preset gas source component template, sequentially perform visual display on the respective current assay results of the target gas sources.

[0012] In a second aspect, the present disclosure provides a multi-pipeline measurement device for an online analyzer of a deep-cold helium extraction production line, applied to an online analyzer connected to multiple pipelines simultaneously, the device comprising:

[0013] An acquisition unit is configured to acquire gas source measurement parameters customized by a user in a configuration interface for a plurality of target gas sources, the gas source measurement parameters including a plurality of target pipelines and a plurality of target gas sources corresponding to respective target measurement execution rules, one target pipeline corresponding to one target gas source, and the target measurement execution rules including a target measurement frequency, a target measurement time, and a target measurement priority;

[0014] An adjustment unit is configured to determine a state change degree of each of the target gas sources based on a previous assay result, and dynamically adjust the target measurement priority obtained by the acquisition unit according to the state change degree;

[0015] A first generation unit is configured to generate pipeline control strategies corresponding to the target pipelines based on the target measurement frequencies, the target measurement times, and the adjusted target measurement priorities of the respective target gas sources obtained by the acquisition unit, the pipeline control strategies including conduction control timing sequences of solenoid valves on the target pipelines;

[0016] A control unit is configured to use the pipeline control strategies obtained by the first generation unit to control the online analyzer to sequentially perform assay analysis on the target gas sources, to obtain respective current assay results of the target gas sources;

[0017] A display unit is configured to sequentially perform visual display on the respective current assay results of the target gas sources obtained by the control unit according to a preset gas source component template.

[0018] To achieve the above object, according to a third aspect of the present disclosure, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to implement the steps of the method of the first aspect.

[0019] To achieve the above object, according to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program, the computer program being executed by a processor to implement the steps of the method of the first aspect.

[0020] To achieve the above object, according to a fifth aspect of the present disclosure, there is provided a computer program product comprising a computer program, the computer program being executed by a processor to implement the steps of the method of the first aspect.

[0021] By the above technical solution, the multi-pipeline measurement method and device of the online analyzer for the helium extraction production line provided by the present disclosure is when multiple gas sources need to be analyzed, the user configures the gas source measurement parameters of the several to-be-measured gas sources in the configuration interface, the gas source measurement parameters include the target pipelines and the actual measurement execution rules corresponding to the several to-be-measured gas sources respectively, one target pipeline corresponds to one to-be-measured gas source, the actual measurement execution rules include the target measurement frequency, the target measurement time, and the target measurement priority, the state change degree of each of the several to-be-measured gas sources is determined according to the previous analysis result, the target measurement priority is dynamically adjusted according to the state change degree, the pipeline control strategy corresponding to the several target pipelines is generated based on the target measurement frequency, the target measurement time, and the adjusted target measurement priority corresponding to each of the several to-be-measured gas sources, the pipeline control strategy includes the conduction control timing sequence of the solenoid valve corresponding to the several target pipelines, the online analyzer is controlled to analyze the several to-be-measured gas sources in sequence by using the pipeline control strategy, the current analysis result corresponding to each of the several to-be-measured gas sources is obtained, and the current analysis result corresponding to each of the several to-be-measured gas sources is visually displayed in sequence according to the preset gas source component template. Through the technical solution provided by the present disclosure, the user can customize the gas source measurement parameters of the several to-be-measured gas sources in the configuration interface, including the target pipelines connected to the to-be-measured gas sources and the target measurement frequency, the target measurement time, and the target measurement priority corresponding to the to-be-measured gas sources, so that the online analyzer connected to multiple pipelines at the same time can quickly adapt to different application scenarios, thereby improving the flexibility and adaptability of the gas source measurement process. According to the previous analysis result, the state change degree of each of the several to-be-measured gas sources is determined, and the target measurement priority is dynamically adjusted according to the state change degree, which can respond to the gas source with significant state change in time, further improving the adaptability and response speed of the gas source measurement process. Based on the target measurement frequency, the target measurement time, and the adjusted target measurement priority corresponding to each of the several to-be-measured gas sources, the pipeline control strategy corresponding to the several target pipelines is generated, and the online analyzer is automatically controlled to analyze according to the pipeline control strategy. While reducing the need for manual adjustment, not only does it simplify the operation process, reduce errors and costs caused by manual operation, but also improves the overall efficiency of the measurement task. After obtaining the current analysis result of the several to-be-measured gas sources, the specific component data in the current analysis result can be intuitively presented to the user by using the preset gas source component template, which is convenient for understanding and further analysis. Compared with the prior art, through automatic configuration and control, the time required for multi-gas source measurement is greatly shortened, the operation complexity and cost are reduced, the work efficiency is improved, and the measurement strategy can be dynamically adjusted according to user needs, improving flexibility and adaptability. The subsequent helium extraction process based on the analysis result is more efficient and reliable, which helps to promote the development and technological progress of related industries.

[0022] The above description is only a summary of the technical solutions of the present disclosure. In order to enable a more thorough understanding of the technical means of the present disclosure, the present disclosure can be implemented according to the content of the specification, and in order to enable the above and other purposes, characteristics and advantages of the present disclosure to be more apparent and easy to understand, the following specific embodiments of the present disclosure are described. BRIEF DESCRIPTION OF DRAWINGS

[0023] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are intended to further aid the understanding of the preferred embodiments, and are not intended to limit the present disclosure thereto. Moreover, like reference numerals designate like parts throughout the several views in the drawings. In the drawings:

[0024] Figure 1 A multi-pipeline measurement method flow chart of an online analyzer for a deep-cryogenic helium extraction production line is shown;

[0025] Figure 2 Another multi-pipeline measurement method flow chart of an online analyzer for a deep-cryogenic helium extraction production line is shown;

[0026] Figure 3 A composition block diagram of a multi-pipeline measurement device of an online analyzer for a deep-cryogenic helium extraction production line is shown;

[0027] Figure 4 Another composition block diagram of a multi-pipeline measurement device of an online analyzer for a deep-cryogenic helium extraction production line is shown. DETAILED DESCRIPTION

[0028] Exemplary embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be embodied in various forms without being limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure can be thoroughly and completely understood, and so that the scope of the present disclosure can be accurately conveyed to those skilled in the art.

[0029] At present, traditional gas analyzers are often designed as single channels, and single channel means that only one gas source can be transported and analyzed through one pipeline at a time. When another gas source needs to be tested and analyzed, the pipeline of the other gas source needs to be manually switched to achieve this. The specific process is to first close the pipeline of the previous gas source, then open the pipeline of the current gas source, and release the previous gas source for a period of time, and then open the pipeline of the current gas source to achieve the test and analysis of the current gas source. However, since the gas source pipeline needs to be manually switched, when multiple gas sources need to be tested and analyzed, the entire process lacks automation and intelligence, cannot be flexibly adjusted according to actual needs, not only consumes time and reduces work efficiency, but also increases operation complexity and cost.

[0030] The online analyzer of the present disclosure connects multiple pipelines to realize the communication of different gas sources, and forms an online analyzer connected with multiple pipelines at the same time. The online analyzer connected with multiple pipelines at the same time includes an online analyzer, a plurality of pipelines connected with electromagnetic valves and different gas sources, and a control end. A configuration interface can be provided, so that a user can set gas source measurement parameters for a plurality of to-be-measured gas sources through the control end, including target pipelines corresponding to each of the plurality of to-be-measured gas sources, and measurement frequency, measurement time, and measurement priority of each of the plurality of to-be-measured gas sources, and the like. The measurement priority is dynamically adjusted based on the previous test results, and the pipeline control strategy corresponding to the plurality of target pipelines is generated based on the measurement frequency, the measurement time, and the adjusted priority of each of the plurality of to-be-measured gas sources, so as to control the online analyzer to perform test analysis in turn. When the test result is obtained, it is visualized and displayed. Through automatic configuration and control, the time required for multi-gas source measurement is greatly shortened, the operation complexity and cost are reduced, the work efficiency is improved, and the flexibility and adaptability are improved.

[0031] Based on the above considerations, the present disclosure provides a multi-pipeline measurement method for an online analyzer of a deep-cold helium extraction production line. The method is applied to an online analyzer connected with multiple pipelines at the same time, which includes an online analyzer, a plurality of pipelines, and a control end. One end of each pipeline is connected with a different gas source, and the other end is connected with the gas inlet end of the online analyzer. A first pressure reducing valve and a first pressure sensor are installed on the gas inlet end of the online analyzer. The first pressure reducing valve is used to reduce the pressure of the to-be-measured gas source, and the first pressure sensor is used to measure the pressure of the gas source after the pressure reduction of the first pressure reducing valve. An electromagnetic valve, a second pressure reducing valve, and a second pressure sensor are installed on each pipeline. The electromagnetic valve is used to control the conduction of the pipeline, the second pressure reducing valve is used to reduce the pressure of the gas source connected with the pipeline, and the second pressure sensor is used to measure the pressure of the gas source after the pressure reduction and before the conduction. The control end is in communication connection with the first pressure sensor, the second pressure sensor, the electromagnetic valve, and the online analyzer. The control end is used to receive the gas source pressure collected by the first pressure sensor and the second pressure sensor, control the opening and closing of the electromagnetic valve, and control the online analyzer to perform test analysis. Through this method, the time required for multi-gas source measurement can be shortened, the operation complexity and cost can be reduced, and the work efficiency can be improved through automatic configuration and control. The specific execution steps are as shown in Figure 1

[0032] 101. Obtain the gas source measurement parameters customized by the user for the plurality of to-be-measured gas sources in the configuration interface.

[0033] ​In this step, the configuration interface is generated according to pipeline information and the execution rules required to be controlled when measuring different gas sources. Specifically, the basic information of all pipelines connected to the online analyzer is obtained in advance, that is, pipeline information (such as pipeline number, state, and connected gas source type), and the basic parameter item is generated based on the pipeline information, and the execution parameter item is generated according to the execution rules required to be controlled when measuring different gas sources (such as measurement frequency, measurement time, and measurement priority, etc.), and the above-mentioned basic parameter item and execution parameter item are integrated into the configuration interface, so that the user can request the configuration interface through the control terminal and further customize the settings in the configuration interface. The user inputs or selects at least one to-be-measured gas source and its corresponding target pipeline through the configuration interface, and one to-be-measured gas source occupies one target pipeline. For each target pipeline, the user sets its measurement execution rules, including but not limited to measurement frequency, measurement time, and measurement priority, etc., to obtain gas source measurement parameters. The gas source measurement parameters include the measurement execution rules corresponding to each of the target pipelines and the to-be-measured gas sources, and the measurement execution rules include target measurement frequency, target measurement time, and target measurement priority. In addition, the user can also save the configuration file to facilitate subsequent quick loading of different measurement schemes.

[0034] 102. Determine the state change degree of each to-be-measured gas source according to the previous test results, and dynamically adjust the measurement target priority according to the state change degree.

[0035] In this step, the previous test results of each of the several to-be-tested gas sources are extracted from the control terminal as historical reference standards. For the several to-be-tested gas sources, the previous test results of each are compared with the preset ideal component data thereof to calculate the corresponding state change degree, and the ideal component data is used to represent the gas component and its concentration value in the ideal state. Common comparison methods include: absolute difference: calculating the absolute difference of the concentration of one or more gas components between the previous test result and the ideal component data, relative change rate: calculating the relative change rate of the gas type and concentration between the previous test result and the ideal component data, multi-parameter comprehensive evaluation: if the change of multiple gas components needs to be considered, a weighted average or other statistical method can be used to comprehensively evaluate the overall change degree. Based on the state change degree, the measurement priority of each to-be-tested gas source is dynamically adjusted. Specifically, the state change degree of each of the several to-be-tested gas sources can be used to prioritize the several to-be-tested gas sources to obtain the corresponding expected measurement priority, and the weights of the expected measurement priority and the importance degree in the target measurement priority are set accordingly. The weighted average method is used to calculate the final priority ranking combined with the expected measurement priority and the target measurement priority, to realize the dynamic adjustment of the target measurement priority by the expected measurement priority, and obtain the adjusted target measurement priority. A corresponding threshold value, such as a relative change rate threshold value, an absolute difference threshold value, etc., can also be set in advance. By comparing with the threshold value, if it is determined that the change of a certain gas component type and concentration is significant, the target measurement priority thereof is increased to ensure that the next test is completed as soon as possible. Through this dynamic adjustment mechanism of the measurement priority, it can be ensured that the gas source with significant state change can be responded in time, and the gas source with significant state change has a higher priority, thereby improving the adaptability and response speed of the gas source measurement process.

[0036] 103、Based on the target measurement frequency, target measurement time and adjusted target measurement priority of each of the several to-be-tested gas sources, a pipeline control strategy corresponding to the several target pipelines is generated.

[0037] In this step, since the multiple gas sources to be tested in this embodiment are not only involved in multiple different pipelines, but also in the purging of the online analyzer when measuring different gas sources, the following measures can be taken: For cases with multiple target pipelines, these target pipelines can be sorted according to the adjusted priority. The corresponding conduction time is calculated based on the actual measurement execution rules (such as target measurement frequency and target measurement time) for each gas source. The measurement sequence is then rationally arranged by considering the mutual influence between pipelines (such as avoiding simultaneous occupation of the same resource) and the purging interval of the online analyzer. Furthermore, any potential operational conflicts can be checked (such as two or more pipelines needing to use the same analyzer components simultaneously). If conflicts occur, the measurement time is adjusted or the pipelines are reordered. Finally, a comprehensive pipeline control strategy containing several target pipelines and their operational sequences is generated. This pipeline control strategy includes the conduction control timing of the solenoid valves on the target pipelines, including specific solenoid valve operation sequences (such as opening / closing time points), online analyzer operating mode switching, etc., and incorporates the solenoid valve response time, online analyzer preparation cycle, and purging interval to optimize the command sequence.

[0038] 104. Using pipeline control strategies, the online analyzer is controlled to sequentially analyze several gas sources to be tested, and the test results corresponding to each gas source are obtained.

[0039] In this step, before sequentially measuring several gas sources to be tested, the status of the online analyzer can be checked first to ensure it is in optimal working condition (e.g., calibration completed, no fault alarms, etc.). Based on the pipeline control strategy, the control unit generates control commands corresponding to the pipeline control strategy. These commands send start signals to the relevant solenoid valves, causing them to sequentially open or close the corresponding target pipelines at predetermined time points, thus achieving the conduction of the corresponding target pipelines. The gas source currently being tested enters the analyzer through the inlet for analysis, obtaining the corresponding current analysis result. This current analysis result is used to characterize the component measurement data contained in the gas source.

[0040] 105. Based on the preset gas source component template, the current test results of several gas sources to be tested are displayed in sequence.

[0041] In this step, the control terminal can construct a corresponding gas source component template according to the pipeline information of all pipelines connected by the online analyzer and the preset component name, the gas source component template at least including a real-time column and a historical column corresponding to each pipeline. The real-time column is used to display the latest gas source test result of the current to-be-tested gas source, that is, the current test result, and the historical column records the historical test data of each to-be-tested gas source in the last time, that is, the previous test result. After the online analyzer completes the test analysis on a plurality of to-be-tested gas sources in turn, the current gas source test result of the plurality of to-be-tested gas sources is displayed in the real-time column in real time, and is updated in the historical column of the corresponding target pipeline. In order to facilitate the user to view, a variety of forms such as a chart (such as a line chart, a column chart), a numerical list or a dashboard can be used to intuitively display the change trend of the gas component. At the same time, flexible data query and filtering tools can also be inserted in the gas source component template, allowing the user to quickly find specific information according to time, pipeline, test type and other dimensions.

[0042] Based on the above Figure 1As can be seen from the implementation mode, the multi-pipeline measurement method of the online analyzer for the helium extraction production line provided by the present disclosure is when multiple gas sources need to be analyzed, the user obtains the gas source measurement parameters customized by the user in the configuration interface for a plurality of to-be-measured gas sources, the gas source measurement parameters include a plurality of target pipelines and a plurality of to-be-measured gas sources respectively corresponding to a measured execution rule, one target pipeline corresponds to one to-be-measured gas source, the measured execution rule includes a target measurement frequency, a target measurement time and a target measurement priority, the state change degree of each of the plurality of to-be-measured gas sources is determined according to a previous analysis result, the target measurement priority is dynamically adjusted according to the state change degree, the pipeline control strategy corresponding to the plurality of target pipelines is generated based on the target measurement frequency, the target measurement time and the adjusted target measurement priority of each of the plurality of to-be-measured gas sources, the pipeline control strategy includes the conduction control timing sequence of the solenoid valve corresponding to the plurality of target pipelines, the online analyzer is controlled to analyze the plurality of to-be-measured gas sources in sequence by using the pipeline control strategy, the current analysis result corresponding to each of the plurality of to-be-measured gas sources is obtained, and the current analysis result corresponding to each of the plurality of to-be-measured gas sources is visually displayed in sequence according to a preset gas source component template. Through the technical solution provided by the present disclosure, the user can customize the gas source measurement parameters of the plurality of to-be-measured gas sources in the configuration interface, including the target pipelines connected to the to-be-measured gas sources and the target measurement frequency, the target measurement time and the target measurement priority corresponding to the to-be-measured gas sources, so that the online analyzer connected to the plurality of pipelines can quickly adapt to different application scenarios, thereby improving the flexibility and adaptability of the gas source measurement process. According to the state change degree of each of the plurality of to-be-measured gas sources determined according to the previous analysis result, the target measurement priority is dynamically adjusted according to the state change degree, which can respond to the gas source with significant state change in time, further improving the adaptability and response speed of the gas source measurement process. Based on the target measurement frequency, the target measurement time and the adjusted target measurement priority of each of the plurality of to-be-measured gas sources, the pipeline control strategy corresponding to the plurality of target pipelines is generated, and the online analyzer is automatically controlled to analyze according to the pipeline control strategy. While reducing the need for manual adjustment, not only simplifies the operation process, reduces the error and cost caused by manual operation, but also improves the overall efficiency of the measurement task. After obtaining the current analysis result of the plurality of to-be-measured gas sources, the specific component data in the current analysis result can be intuitively presented to the user by using the preset gas source component template, which is convenient for understanding and further analysis. Compared with the prior art, through automatic configuration and control, the time required for multi-gas source measurement is greatly shortened, the operation complexity and cost are reduced, the work efficiency is improved, the measurement strategy can be dynamically adjusted according to the user's demand, the flexibility and adaptability are improved, the subsequent helium extraction process based on the analysis result is more efficient and reliable, which helps to promote the development and technological progress of the related industry.

[0043] Further, the preferred embodiment of the present disclosure is in the aboveFigure 1 On the basis of the above, the process of multi-pipeline measurement for the online analyzer of the deep-cryogenic helium extraction production line is described in detail, and the specific steps are as shown in Figure 2

[0044] 201. Generate basic parameter items according to the pipeline numbers, pipeline states, and gas source types of all pipelines connected to the gas inlet end of the online analyzer.

[0045] In this step, the relevant information of all connected pipelines is automatically obtained from the online analyzer in advance, including pipeline numbers (used to identify different pipelines), pipeline states (such as whether they are available, whether they are currently in a conducting state, etc.), and the types of gas sources connected by the pipelines. Real-time acquisition can be achieved by deploying sensors or other monitoring devices. Based on the above collected pipeline information, a series of basic parameter items are automatically generated. These basic parameter items should at least include the following contents: pipeline number: uniquely identifies each pipeline, pipeline state: reflects the current working condition of the pipeline, facilitating users to understand which pipelines can be normally used, and gas source type: explains the type of gas source connected by each pipeline, which helps to determine the measurement requirements and configure corresponding measurement rules.

[0046] 202. Generate execution parameter items according to measurement frequency, measurement time, and measurement priority.

[0047] In this step, the default measurement frequency, measurement time, and measurement priority are set in advance according to the actual application scenario or user requirements. For example, some key gases may need to be measured once an hour, while other gases can be set to different measurement frequencies according to their importance or variation speed. Measurement time refers to the length of time that the corresponding solenoid valve on the pipeline of the measured gas source is opened during each measurement process. Measurement priority refers to the measurement sequence of several measured gas sources, which can be determined by users according to various factors such as the importance of gas composition, the urgency of measurement requirements, etc. Combined with the pre-set measurement frequency, measurement time, and measurement priority, specific execution parameter items are automatically generated. These execution parameter items are not limited to frequency, time, and priority, but may also include other related parameters such as pressure threshold (to ensure safe operation within a safe range). It should be noted that the execution parameter items need to be set according to the mutual influence between different gas sources and the maximum processing capacity of the equipment, so as to ensure the stability and reliability of the entire system.

[0048] 203. Generate a configuration interface based on the basic parameter items and the execution parameter items.

[0049] ​In this step, a configuration interface is built using front-end technologies (such as HTML5, CSS3, and JavaScript) that can respond on the control end. This configuration interface displays all basic parameter items and execution parameter items. The basic parameter items and execution parameter items can be placed in different areas, and a search function is provided to facilitate locating specific parameters. Additionally, the configuration interface can be periodically updated by setting a period, or triggered to update by monitoring certain events. For example, when the state of a pipeline changes (such as a pipeline failure), the latest state information of the pipeline can be reflected in real time on the configuration interface. At the same time, the configuration interface can also support saving user configuration changes and can load the last saved configuration file when starting next time.

[0050] 204、Receiving a first operation event of a user on the configuration interface for the basic parameter items, and a second operation event for the execution parameter items.

[0051] In this step, an event listener is added in advance for each basic parameter item and execution parameter item on the configuration interface to capture the user's operation behavior. The first operation event usually involves modification of the basic parameter items (such as selecting target pipelines), while the second operation event is mainly for execution parameter items (such as adjusting measurement frequency or time). When the user completes an operation, the corresponding first operation event and second operation event are captured immediately, and the corresponding processing logic is triggered.

[0052] 205、Determining a number of target pipelines based on the first operation event, and determining a number of measured execution rules corresponding to each of the to-be-measured gas sources based on the second operation event.

[0053] In this step, according to the first operation event of the user on the configuration interface (such as selecting some pipelines as target pipelines corresponding to a number of to-be-measured gas sources), the selected number of target pipelines and their related information are recorded. Each to-be-measured gas source corresponds to a target pipeline. According to the second operation event of the user (such as adjusting the measurement frequency, measurement time, measurement priority, etc.), detailed measurement execution rules are generated for the selected number of to-be-measured gas sources, which include the finally determined target measurement frequency, target measurement time, and target measurement priority. These measurement execution rules are used to guide the subsequent automated measurement process. The measurement execution rules are not limited to basic frequency, time, and priority, but may also cover more details, such as how to deal with abnormal situations (such as what measures to take when the gas pressure is too low).

[0054] 206、Taking the number of target pipelines and the measurement execution rules corresponding to each of the to-be-measured gas sources as gas source measurement parameters.

[0055] In this step, the user selects several target pipelines and the corresponding actual measurement rules of several to-be-measured gas sources, and integrates them into a complete set of gas source measurement parameters. These gas source measurement parameters will become the basis for generating the pipeline control strategy subsequently. The integrated gas source measurement parameters can be saved in the database for subsequent generation of pipeline control strategies. Users can also choose to save the current configuration scheme to quickly load the same measurement settings in the future, reducing the workload of repeated configuration.

[0056] Through the implementation of steps 201-206, the adaptability and operational convenience of measuring multiple gas sources are greatly improved, not only meeting the diverse measurement needs, but also significantly improving work efficiency and accuracy.

[0057] 207、According to the previous test results, determine the state change degree of each to-be-measured gas source, and dynamically adjust the target measurement priority according to the state change degree.

[0058] This step combines the description of step 102 in the above method, and the same content will not be repeated here. It should be noted that the specific execution process of determining the state change degree of each to-be-measured gas source according to the previous test results and dynamically adjusting the target measurement priority according to the state change degree is as follows: obtaining the preset ideal component data of each to-be-measured gas source, the ideal component data being used to represent the gas component and its concentration value in the ideal state; for the to-be-measured gas sources, comparing the component type relative change rate and the component concentration relative change rate between the component measurement data in the previous test results and the ideal component data, and calculating the state change degree of each to-be-measured gas source according to the component type relative change rate and the component concentration relative change rate; according to the state change degree of each to-be-measured gas source, the to-be-measured gas sources are prioritized to obtain the expected measurement priority; based on the expected measurement priority, the target measurement priority is adjusted to obtain the adjusted target measurement priority.

[0059] In this step, the ideal component data is a data set representing the gas component and its concentration value in the ideal state, which can be based on industry standards, equipment manufacturer recommendations, or user-defined settings. The ideal component data is usually stored in the database of the control end and can be viewed and modified through the configuration interface. For each to-be-measured gas source, an ideal component data set can be associated with it.

[0060] For the component type relative change rate: detect whether there are new components or some components disappear in the current test results. If so, calculate the change of component type to obtain the component type relative change rate.

[0061] For the component concentration relative change rate: for each component, calculate the relative change rate of its concentration change. The specific formula is:

[0062] .

[0063] For example, assume the previous test results are as follows:

[0064] Pipeline A: Concentration 410 ppm, Concentration 21.2%, new component. Pipeline B: Concentration 360 ppm, Concentration 20.7%. Pipeline C: Concentration 425 ppm, Concentration 20.1%.

[0065] Calculate the relative change rate of component type and the relative change rate of component concentration:

[0066] Pipeline A:

[0067] Relative change rate of component type: Since a new component is added, marked as significant change (assuming 1);

[0068] Relative change rate of concentration: ; Relative change rate of concentration: .

[0069] Pipeline B:

[0070] Relative change rate of component type: No new component, marked as 0;

[0071] Relative change rate of concentration: ; Relative change rate of concentration: .

[0072] Pipeline C:

[0073] Relative change rate of component type: No new component, marked as 0;

[0074] Relative change rate of concentration: ; Relative change rate of concentration: .

[0075] After obtaining the relative change rate of component type and the relative change rate of component concentration, the corresponding state change degree can be calculated based on the two. The weight of each component can be set in advance (based on its importance or influence), and then the weighted comprehensive score is calculated according to the change of component type and concentration. The specific formula is:

[0076] ​;

[0077] wherein, and are the weights of the category change and the concentration change, respectively, which can be adjusted according to actual needs.

[0078] For example, assume and are 0.6 and 0.4, respectively. Calculate the comprehensive score of each pipeline:

[0079] Test gas source a:

[0080] Comprehensive score = 0.6 x 1 + 0.4 x 1.725% = 0.6 + 0.0069 ≈ 0.61;

[0081] Test gas source b:

[0082] Comprehensive score = 0.6 x 0 + 0.4 x 1.915% = 0.00766 ≈ 0.01;

[0083] Test gas source c:

[0084] Comprehensive score = 0.6 x 0 + 0.4 x 0.845% = 0.00338 ≈ 0.003.

[0085] According to the comprehensive scores of the respective test gas sources, the priority of each test gas source is ranked to obtain the expected measurement priority. Specifically, the degree of state change can be divided into different intervals in advance, and each interval corresponds to an expected priority. For example: comprehensive score > 0.5: high priority; 0.2 < comprehensive score ≤ 0.5: medium priority; comprehensive score ≤ 0.2: low priority.

[0086] According to the above comprehensive scores, the expected measurement priorities of the pipelines are determined:

[0087] Test gas source a: comprehensive score is 0.61, which belongs to high priority; test gas source b: comprehensive score is 0.01, which belongs to low priority; test gas source c: comprehensive score is 0.003, which belongs to low priority.

[0088] Introduce the weights of the attention degree and to balance the influence of the expected measurement priority and the target measurement priority. Usually, + = 1. Convert the priority to a numerical value (such as high = 2, medium = 1, and low = 0), and then calculate the weighted average value according to the weights to determine the adjusted priority. The specific formula is:

[0089] .

[0090] For example, set the weights = 0.7, = 0.3.

[0091] Convert the priority to a numerical value:

[0092] High priority: numerical value 2; medium priority: numerical value 1; low priority: numerical value 0.

[0093] Calculate the adjusted priority:

[0094] Test gas source a:

[0095] The target priority is high (numerical value 2), and the expected priority is also high (numerical value 2).

[0096] Adjusted priority: adjusted priority = 0.7 x 2 + 0.3 x 2 = 2. Result: maintain high priority.

[0097] Test gas source b:

[0098] The target priority is medium (numerical value 1), and the expected priority is low (numerical value 0).

[0099] Adjusted priority:

[0100] Adjusted priority = 0.7 x 0 + 0.3 x 1 = 0.3. Result: adjust to low priority (numerical value close to 0).

[0101] Test gas source c:

[0102] The current priority is low (numerical value 0), and the expected priority is also low (numerical value 0).

[0103] Adjusted priority:

[0104] Adjusted priority = 0.7 x 0 + 0.3 x 0 = 0. Result: maintain low priority.

[0105] Through the above detailed implementation, not only the changes in component types and concentrations can be accurately evaluated, but also the measurement priority can be dynamically adjusted according to these changes. By introducing the weight mechanism of attention degree, smooth transition between the expected priority and the current measurement priority can be achieved, avoiding the instability factors caused by frequent adjustments. Not only the response speed and reliability of the system are improved, but also its adaptability and flexibility are enhanced, so that more efficient and accurate gas analysis is realized.

[0106] 208、Generate pipeline control strategies corresponding to a plurality of target pipelines based on the target measurement frequencies, target measurement times, and adjusted target measurement priorities of the respective plurality of test gas sources.

[0107] This step combines the description of step 103 in the above method, and the same content is not repeated here. It should be noted that the specific execution process of generating the pipeline control strategy corresponding to the target pipeline based on the respective measurement frequency, measurement time and adjusted measurement priority of the several to-be-measured gas sources is: determining the respective conduction time of the several target pipelines based on the measurement frequency and the measurement time; obtaining the preset space interval of the online analyzer; and arranging the respective conduction time and space interval of the several target pipelines in time sequence according to the adjusted measurement priority, to generate the pipeline control strategy.

[0108] In this step, for the several to-be-measured gas sources, the target measurement frequency (for example, once every hour) and the target measurement time (the duration of each measurement, such as 5 minutes) are extracted from the corresponding actual measurement execution rules. According to the measurement frequency, the measurement period of each target pipeline in the several target pipelines is determined. For example, if the measurement frequency is once every hour, each target pipeline has a measurement opportunity every hour. The measurement time determines the opening time period of the solenoid valve of the target pipeline in this period. For example, if the measurement time is 5 minutes, the pipeline will remain in the conduction state in a certain fixed time period every hour.

[0109] For example, assume that there are three target pipelines A, B and C, and their respective measurement frequencies and measurement times are as follows:

[0110] Target pipeline A: measurement frequency is once every 2 hours, and measurement time is 3 minutes.

[0111] Target pipeline B: measurement frequency is once every 4 hours, and measurement time is 5 minutes.

[0112] Target pipeline C: measurement frequency is once every 6 hours, and measurement time is 2 minutes.

[0113] Calculate the conduction time window of each target pipeline:

[0114] Target pipeline A: once every 2 hours, and each time for 3 minutes. Assuming that the first measurement starts at 0:00, the subsequent measurement times are 2:00, 4:00, etc., each lasting for 3 minutes.

[0115] Target pipeline B: once every 4 hours, and each time for 5 minutes. Assuming that the first measurement starts at 0:00, the subsequent measurement times are 4:00, 8:00, etc., each lasting for 5 minutes.

[0116] Target pipeline C: once every 6 hours, and each time for 2 minutes. Assuming that the first measurement starts at 0:00, the subsequent measurement times are 6:00, 12:00, etc., each lasting for 2 minutes.

[0117] Get the preset queue space interval (5 minutes) of the online analyzer, which is a safety interval set to avoid conflicts caused by multiple target pipelines requesting resources at the same time. It can be set according to device performance, actual demand, and other factors. If the online analyzer can handle multiple pipeline measurement tasks at the same time, the queue space interval can be shorter, otherwise, a longer queue space interval is needed to ensure stable operation. Based on the on-time and the queue space interval, generate the on-time control sequence of the solenoid valve corresponding to each target pipeline.

[0118] Sort the target pipelines according to the adjusted measurement priority. High-priority target pipelines will have priority in obtaining measurement opportunities within the scheduled time period. After considering the on-time and the queue space interval, the measurement sequence and time points of each target pipeline can be automatically arranged to ensure efficient use of resources and avoid conflicts. Convert the above arrangement into a specific control instruction sequence, including the opening and closing time points of the solenoid valve on each target pipeline, and program it into the online analyzer control system.

[0119] 209、Using the pipeline control strategy, control the online analyzer to sequentially analyze the several to-be-tested gas sources to obtain the corresponding test results of each to-be-tested gas source.

[0120] This step combines the description of step 103 in the above method, and the same content will not be repeated here.

[0121] 210、Get the gas source component template.

[0122] In this step, the gas source component template is constructed according to all the pipelines connected to the gas inlet end of the online analyzer. The gas source component template includes at least one real-time column and a historical column corresponding to each pipeline. First, all the pipeline information currently connected to the online analyzer is obtained, including but not limited to the number, state, and connected gas source type of each pipeline. After collecting this information, it is stored in the database. According to the pipeline information of each connected pipeline of the online analyzer and the preset component name, the corresponding gas source component template is constructed at the control end. The gas source component template includes at least one real-time column and a historical column corresponding to each pipeline. The real-time column is used to display the current test result of the current to-be-tested gas source among several to-be-tested gas sources, including the gas component measurement data of the currently turned-on target pipeline, while the historical column records the historical test result of each pipeline, i.e., the previous test result, including the previous gas component measurement data, and each pipeline has its independent historical column. Specifically, various forms such as charts (e.g., line charts, column charts), numerical lists, or dashboards can be used to visually display the change trend of the gas component. The real-time column and the historical column can be distinguished by different colors or labels, which facilitates users to quickly identify the latest data and historical records. The control end supports dynamic adjustment of the template layout to adapt to different numbers of pipelines and different display requirements.

[0123] 211、For the current test result corresponding to each of the several to-be-tested gas sources, the component measurement data corresponding to the gas source test result is displayed in the real-time column and the historical column corresponding to the several target pipelines in turn.

[0124] In this step, when the online analyzer completes the analysis of a plurality of to-be-tested gas sources in turn, the control end receives a feedback signal containing specific component measurement data, i.e., the component measurement data corresponding to the test result of this time. The component measurement data usually includes the concentration value, pressure value and other key parameters of each gas component. The specific values of each gas component are extracted and classified into the corresponding target pipeline. For example, if the test this time is for the to-be-tested gas source a, the result is classified into the relevant data set of the target pipeline A corresponding to the to-be-tested gas source a. For each pipeline, the latest gas source test result is immediately displayed in the real-time column of the gas source component template to ensure that the operator can obtain the latest data in the first time. If a pipeline is continuously turned on, the data in its column will be continuously updated with new test results until the state of the pipeline changes or is overwritten by new data. And, the data in the corresponding target pipeline history column is updated synchronously. After each new test result is generated, a new record is also added in the corresponding history column, covering the previous test result, i.e., the previous test result of the gas source test result of the pipeline in the past most recent time. At the same time, flexible data query and filtering tools can also be inserted in the gas source component template to allow users to quickly find specific information according to time, pipeline, test type and other dimensions.

[0125] Further, in order to avoid the to-be-tested gas source from being in an ideal stable state before entering the online analyzer, thereby effectively preventing measurement errors caused by gas pressure fluctuations, and protecting the online analyzer from high pressure impact, the method further comprises: for the gas inlet end of the online analyzer, sequentially collecting the first gas source pressure of the current to-be-tested gas source in a plurality of to-be-tested gas sources before entering the online analyzer, and determining whether the first gas source pressure is greater than a safety pressure threshold of the online analyzer, the safety pressure threshold being set according to the maximum safe pressure bearing capacity of the online analyzer; if yes, controlling the online analyzer to stop test analysis, and generating the gas inlet warning prompt information corresponding to the online analyzer.

[0126] In the actual measurement process, for the gas inlet end of the online analyzer, after the to-be-measured gas source is reduced in pressure by the first pressure reducing valve, the first pressure sensor can continuously monitor the pressure of the to-be-measured gas source after the pressure reduction, that is, the first gas source pressure, and send the first gas source pressure to the control end. A safety pressure threshold is set in advance according to the maximum safe pressure bearing capacity of the online analyzer, which can be provided by the equipment manufacturer or adjusted according to actual use and historical data. The safety pressure threshold is set according to the maximum safe pressure bearing capacity of the online analyzer, specifically by subtracting a safety margin reserved to prevent equipment damage from the maximum allowable input pressure corresponding to the maximum safe pressure bearing capacity. For example, if the maximum allowable input pressure of the analyzer is 5 bar, the safety pressure threshold can be set to 3 bar to leave a certain safety margin. The control end compares the received first gas source pressure with the above-mentioned safety pressure threshold. If the first gas source pressure is higher than the safety pressure threshold (for example, the current pressure is 6 bar, and the safety pressure threshold is 8 bar), an instruction is immediately sent to the online analyzer to stop the current assay analysis operation, which can include the following specific steps: closing the electromagnetic valve on the relevant pipeline to prevent low-pressure gas from entering the analyzer, pausing the data acquisition and processing process of the analyzer to avoid inaccurate data due to low pressure, marking the current measurement task as "paused" to facilitate resumption after the problem is solved. At the same time, generate an inlet gas warning prompt information, and notify relevant personnel through multiple channels such as control end interface alarm, on-site sound alarm, email or SMS, etc. to effectively avoid equipment damage or potential safety accidents caused by excessive gas source pressure. After the problem is solved, the operator can manually restart the analyzer through the user interface, or the system automatically resumes the measurement task after detecting that the pressure has returned to normal.

[0127] Further, in order to ensure that the pressure of each connecting pipeline of the online analyzer is consistent after being connected to the gas source, and to avoid excessive pressure difference between different pipelines affecting the stability and safety of gas source measurement, the method further includes: collecting the second gas source pressure of each corresponding different gas source before being turned on for all pipelines connected to the gas inlet end of the online analyzer, and sequentially determining whether each second gas source pressure is in the preset stable interval; if not, the pipeline not in the preset stable interval is marked as a special pipeline, and an instability warning prompt information of the special pipeline is generated.

[0128] In the actual measurement process, according to the characteristics of each gas source and the requirements of the equipment, the pressure reduction capacity of each second pressure reducing valve on each pipeline is set, and the gas source pressure after the pressure reduction of each pipeline through the second pressure reducing valve, that is, the second gas source pressure, is collected through each second pressure sensor. For each pipeline connected to the gas inlet end of the online analyzer, according to the characteristics of each gas source and the requirements of the equipment, a preset stable interval (for example, 10 bar-12 bar) for all pipelines is set, which will be set according to the pressure reduction capacity of the first pressure reducing valve, so that the pressure after the pressure reduction through the first pressure reducing valve entering the online analyzer is not greater than the above-mentioned safety pressure threshold. The second gas source pressure of each pipeline is compared with the preset stable interval in turn. If the second gas source pressure of a certain pipeline is not in the preset stable interval, the pipeline is immediately marked as a "special pipeline". The information of the special pipeline is stored in the database. At the same time, based on the "special pipeline", an instability alarm prompt information is generated, and the related personnel are notified through various channels such as alarm through the control terminal interface, on-site sound alarm, electronic mail or short message, etc. For the case of being marked as a "special pipeline", one of the following measures can be taken according to the pre-set strategy: suspend the test: if the gas source pressure deviates from the preset stable interval seriously, not only the accuracy of the measurement result may be affected, but also the equipment may be damaged or potential safety accidents may occur, therefore, at this time, the test analysis of the "special pipeline" can be automatically suspended and continued after the problem is solved; adjust the measurement parameters: for the case of slight deviation from the preset stable interval, the measurement parameters (such as prolonging the measurement time, increasing the sample amount, etc.) can be dynamically adjusted according to the actual situation to compensate for the potential influence. After the problem is solved, the operator can manually restart the test task of the related pipeline through the user interface, or automatically restore the measurement task after the pressure is detected to be normal.

[0129] Further, as an implementation of the above-mentioned Figures 1-2 method embodiment, the present embodiment provides a multi-pipeline measurement device for an online analyzer of a cryogenic helium extraction production line, which is used to shorten the time required for multi-gas source measurement, reduce operation complexity and cost, and improve work efficiency through automatic configuration and control. The embodiments of the device correspond to the above-mentioned method embodiments, and for the sake of reading, the details of the above-mentioned method embodiments will not be described one by one, but it should be clear that the device in the present embodiment can correspondingly implement all the contents in the above-mentioned method embodiments. Specifically, as shown in Figure 3 , applied to an online analyzer connected to multiple pipelines at the same time, the device comprises:

[0130] The acquisition unit 301 is configured to acquire gas source measurement parameters customized by a user for a plurality of to-be-tested gas sources in a configuration interface, the gas source measurement parameters comprising a plurality of target pipelines and a plurality of measured execution rules corresponding to the to-be-tested gas sources respectively, one target pipeline corresponding to one to-be-tested gas source, and the measured execution rule comprising a target measurement frequency, a target measurement time and a target measurement priority;

[0131] The adjustment unit 302 is configured to determine a state change degree of each of the to-be-tested gas sources according to a previous test result, and dynamically adjust the target measurement priority obtained by the acquisition unit 301 according to the state change degree.

[0132] The first generation unit 303 is configured to generate pipeline control strategies corresponding to the plurality of target pipelines based on the target measurement frequency, the target measurement time and the adjusted target measurement priority obtained by the adjustment unit 302, the pipeline control strategy comprising a conduction control time sequence corresponding to a solenoid valve on the target pipeline.

[0133] The control unit 304 is configured to control the online analyzer to sequentially test and analyze the plurality of to-be-tested gas sources by using the pipeline control strategy obtained by the first generation unit 303, so as to obtain a current test result corresponding to each of the to-be-tested gas sources.

[0134] The display unit 305 is configured to visually display the current test result corresponding to each of the to-be-tested gas sources obtained by the control unit 304 according to a preset gas source component template.

[0135] Further, as shown in the Figure 4 The device further comprises:

[0136] The first construction unit 306 is configured to generate a basic parameter item according to a pipeline number, a pipeline state and a gas source type connected by a pipeline corresponding to each of all pipelines connected to an inlet end of the online analyzer before the acquisition unit 301.

[0137] The second construction unit 307 is configured to generate an execution parameter item according to a measurement frequency, a measurement time and a measurement priority.

[0138] The second generation unit 308 is configured to generate the configuration interface based on the basic parameter item obtained by the first construction unit 306 and the execution parameter item obtained by the second construction unit 307.

[0139] The acquisition unit 301 is specifically configured to,

[0140] receive a first operation event of a user on the configuration interface for the basic parameter item, and a second operation event for the execution parameter item;

[0141] determine, based on the first operation event, a plurality of target pipelines, and determine, based on the second operation event, a plurality of target pipelines each corresponding to a measured execution rule of the to-be-tested gas source;

[0142] determine, based on the first operation event, a plurality of target pipelines, and determine, based on the second operation event, a plurality of target pipelines each corresponding to a measured execution rule of the to-be-tested gas source;

[0143] Further, as shown in Figure 4 The adjustment unit 302 comprises:

[0144] The first acquisition module 3021 is configured to acquire a plurality of preset ideal component data of the to-be-tested gas source, wherein the ideal component data is used to represent the gas component and its concentration value in an ideal state.

[0145] The calculation module 3022 is configured to compare, for a plurality of to-be-tested gas sources, the component type relative change rate and the component concentration relative change rate between the component measurement data in the previous test result and the ideal component data obtained by the first acquisition module 3021, and calculate the state change degree of each of the plurality of to-be-tested gas sources according to the component type relative change rate and the component concentration relative change rate.

[0146] The sorting module 3023 is configured to sort the plurality of to-be-tested gas sources according to the state change degree of each of the plurality of to-be-tested gas sources obtained by the calculation module 3022 to obtain an expected measurement priority.

[0147] The adjustment module 3024 is configured to adjust the target measurement priority based on the expected measurement priority obtained by the sorting module 3023 to obtain the adjusted target measurement priority.

[0148] Further, as shown in Figure 4 The first generation unit 303 comprises:

[0149] The determination module 3031 is configured to determine, based on the target measurement frequency and the target measurement time, a plurality of target pipelines each corresponding to a conduction time.

[0150] The second acquisition module 3032 is configured to acquire a preset space interval of the online analyzer.

[0151] The generating module 3033 is configured to generate the pipeline control strategy by timing arranging the on-time of each of the target pipelines obtained by the determining module 3031 and the space interval obtained by the second acquiring module 3032 according to the adjusted target measurement priority.

[0152] Further, as shown in Figure 4 The display unit 305 includes:

[0153] The third acquiring module 3051 is configured to acquire the gas source component template, the gas source component template being constructed according to all pipelines connected to the gas inlet end of the online analyzer, and the gas source component template including at least one real-time column and a historical column corresponding to each of the pipelines;

[0154] The display module 3052 is configured to display, for each of the to-be-tested gas sources, the component measurement data corresponding to the nitrogen concept test result in the real-time column obtained by the third acquiring module 3041 and the historical column corresponding to each of the target pipelines. Further, as shown in Figure 4 The device further includes:

[0155] The first monitoring unit 309 is configured to, for the gas inlet end of the online analyzer, sequentially collect a first gas source pressure of a current to-be-tested gas source in the to-be-tested gas sources before entering the online analyzer, and determine whether the first gas source pressure is greater than a safety pressure threshold of the online analyzer, the safety pressure threshold being set according to a maximum safe pressure bearing capacity of the online analyzer.

[0156] The first processing unit 310 is configured to, if the first monitoring unit 309 determines that the first gas source pressure is greater than the safety pressure threshold of the online analyzer, control the online analyzer to stop test analysis, and generate an inlet alarm prompt information corresponding to the online analyzer.

[0157] Further, as shown in Figure 4 The device further includes:

[0158] The second monitoring unit 311 is configured to, for the pipelines connected to the gas inlet end of the online analyzer, collect a second gas source pressure of each of different gas sources before being turned on, and sequentially determine whether each of the second gas source pressures is in a preset stable interval.

[0159] The second processing unit 312 is configured to, if the second monitoring unit 311 determines that each of the second gas source pressures is not in the preset stable interval, mark the pipeline not in the preset stable interval as a special pipeline, and generate an instability alarm prompt information of the special pipeline.

[0160] Further, the embodiments of the present disclosure also provide a computer device, comprising a memory, a processor and a computer program stored in the memory, wherein the processor executes steps of the method in the above Figures 1-2

[0161] Further, the embodiments of the present disclosure also provide a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement steps of the method in the above Figures 1-2

[0162] Further, the embodiments of the present disclosure also provide a computer program product, comprising a computer program, wherein the computer program is executed by a processor to implement steps of the method in the above Figures 1-2

[0163] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in an embodiment can be referred to the relevant description of other embodiments.

[0164] It can be understood that the related features in the above method and device can be mutually referred. In addition, the "first", "second" and the like in the above embodiments are used to distinguish the embodiments, and do not represent the advantages and disadvantages of the embodiments.

[0165] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0166] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems can be used with these teachings, with or without accompanying programs. Those skilled in the art will recognize that the structures required to construct such systems are readily apparent from the description above. In addition, the present disclosure is not described with respect to any particular programming language. It will be appreciated that a variety of programming languages can be used to implement the present disclosure as described herein, and any references below to specific languages are provided for disclosure of the best mode of the present disclosure.

[0167] In addition, the memory can include non-persistent memory in computer readable media, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.

[0168] ​​​Those skilled in the art will appreciate that embodiments of the disclosure can be supplied as a method, a system, or a computer program product. Accordingly, the disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the disclosure can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, and the like) embodying computer readable program code.

[0169] The disclosure is described in reference to the flow diagrams and / or block diagrams of the methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flow diagrams and / or block diagrams, and combinations of blocks in the flow diagrams and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing device, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flow diagrams and / or block diagrams block or blocks. Figure 1 one or more functions specified in the flow diagram and / or block diagram block or blocks. Figure 1 one or more functions specified in the flow diagram and / or block diagram block or blocks.

[0170] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the flow diagrams and / or block diagrams block or blocks. Figure 1 one or more functions specified in the flow diagram and / or block diagram block or blocks. Figure 1 one or more functions specified in the flow diagram and / or block diagram block or blocks.

[0171] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flow diagrams and / or block diagrams block or blocks. Figure 1 one or more functions specified in the flow diagram and / or block diagram block or blocks. Figure 1 one or more functions specified in the flow diagram and / or block diagram block or blocks.

[0172] In one typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0173] The memory can include non-persistent memory, Random Access Memory (RAM), and / or non-volatile memory, such as Read Only Memory (ROM) or flash memory, among others. The memory is an example of computer-readable media.

[0174] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0175] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusions, so that a process, method, article or apparatus that includes a list of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0176] Those skilled in the art will appreciate that embodiments of the present disclosure can be provided as a method, system or computer program product. Accordingly, the present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, the present disclosure can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage and the like) containing computer usable program code.

[0177] The above merely provides embodiments of the present disclosure and is not intended to limit the present disclosure. Those skilled in the art can make various modifications and changes to the present disclosure. Any modification, equivalent replacement, improvement and the like within the spirit and principle of the present disclosure shall be included in the scope of the claims of the present disclosure.

Claims

1. A multi-pipeline measurement method for an online analyzer used in a cryogenic helium extraction production line, characterized in that, The method, applicable to online analyzers that simultaneously connect multiple pipelines, includes: The system obtains the gas source measurement parameters defined by the user in the configuration interface for several gas sources to be tested. The gas source measurement parameters include several target pipelines and several actual measurement execution rules corresponding to each of the gas sources to be tested. One target pipeline corresponds to one gas source to be tested. The actual measurement execution rules include target measurement frequency, target measurement time and target measurement priority. Based on the previous test results, the degree of state change of each of the gas sources to be tested is determined, and the target measurement priority is dynamically adjusted according to the degree of state change. Based on the previous test results, the degree of state change of each of the gas sources to be tested is determined, and the measurement priority is dynamically adjusted according to the degree of state change, including: Obtain preset ideal component data for each of the several gas sources to be tested. The ideal component data is used to characterize the gas composition and its concentration value under ideal conditions. For several gas sources to be tested, the relative change rate of component types and the relative change rate of component concentration between the component measurement data in the previous test results and the ideal component data are compared in turn, and the degree of state change of each of the several gas sources to be tested is calculated based on the relative change rate of component types and the relative change rate of component concentration. The gas sources to be tested are prioritized according to the degree of state change of each of the gas sources to be tested, so as to obtain the desired measurement priority. The measurement priority is adjusted based on the desired measurement priority to obtain the adjusted measurement priority; Based on the target measurement frequency, target measurement time, and adjusted target measurement priority corresponding to each of the several gas sources to be tested, a pipeline control strategy is generated for several target pipelines. The pipeline control strategy includes the conduction control timing of the solenoid valves on several target pipelines. Using the pipeline control strategy, the online analyzer is controlled to sequentially analyze several of the gas sources to be tested, and the test results corresponding to each of the gas sources to be tested are obtained. Based on the preset gas source component template, the current test results corresponding to each of the several gas sources to be tested are displayed in sequence.

2. The method according to claim 1, characterized in that, Before obtaining the gas source measurement parameters defined by the user in the configuration interface for several gas sources to be tested, the method further includes: Basic parameter items are generated based on the pipe number, pipe status, and gas source type of each pipe connected to the air inlet of the online analyzer. Execution parameters are generated based on measurement frequency, measurement time, and measurement priority. The configuration interface is generated based on the basic parameter items and the execution parameter items; The process of obtaining gas source measurement parameters defined by the user in the configuration interface for several gas sources to be tested includes: Receive a first operation event from the user on the configuration interface for the basic parameter item, and a second operation event on the execution parameter item; Based on the first operation event, a number of target pipelines are determined, and based on the second operation event, the actual execution rules corresponding to each of the gas sources to be tested are determined. The actual execution rules corresponding to the target pipelines and the gas sources to be tested are used as the gas source measurement parameters.

3. The method according to claim 1, characterized in that, Based on the target measurement frequency, target measurement time, and adjusted target measurement priority corresponding to each of the several gas sources to be tested, pipeline control strategies are generated for several target pipelines, including: The conduction time of each of the target pipelines is determined based on the target measurement frequency and the target measurement time. Obtain the preset exhaust space interval of the online analyzer; Based on the adjusted target measurement priority, the conduction time and the space interval corresponding to each of the several target pipelines are sequentially arranged to generate the pipeline control strategy.

4. The method according to claim 1, characterized in that, Based on a preset gas source component template, the current test results corresponding to each of the several gas sources to be tested are sequentially visualized and displayed, including: Obtain the gas source component template, which is constructed based on all pipelines connected to the inlet of the online analyzer. The gas source component template includes at least one real-time column and historical columns corresponding to each pipeline. For each of the gas sources to be tested, the component measurement data corresponding to the current test results are sequentially displayed in the real-time column and the historical column corresponding to the target pipelines.

5. The method according to any one of claims 1-4, characterized in that, The method further includes: For the air inlet of the online analyzer, the first air source pressure of the current air source to be tested before entering the online analyzer is collected in sequence from a plurality of the air sources to be tested, and it is determined whether the first air source pressure is greater than the safe pressure threshold of the online analyzer. The safe pressure threshold is set according to the maximum safe pressure bearing capacity of the online analyzer. If so, the online analyzer will be stopped from performing analysis, and a corresponding intake alarm message will be generated for the online analyzer.

6. The method according to any one of claims 1-4, characterized in that, The method further includes: For all pipelines connected to the air inlet of the online analyzer, the pressure of the second air source corresponding to each different air source before the conduction is collected, and it is determined in turn whether the pressure of each second air source is within the preset stable range. If not, the pipeline that is not in the preset stable range will be marked as a special pipeline, and an instability alarm message for the special pipeline will be generated.

7. A multi-pipeline measurement device for an online analyzer used in a cryogenic helium extraction production line, characterized in that, An online analyzer applicable to simultaneous connection of multiple pipelines, the device comprising: The acquisition unit is used to acquire the gas source measurement parameters defined by the user in the configuration interface for several gas sources to be tested. The gas source measurement parameters include several target pipelines and several actual measurement execution rules corresponding to each of the gas sources to be tested. One target pipeline corresponds to one gas source to be tested. The actual measurement execution rules include target measurement frequency, target measurement time and target measurement priority. An adjustment unit is used to determine the degree of state change of each of the several gas sources to be tested based on the previous test results, and to dynamically adjust the target measurement priority obtained by the acquisition unit according to the degree of state change, including: Based on the previous test results, the degree of state change of each of the gas sources to be tested is determined, and the measurement priority is dynamically adjusted according to the degree of state change, including: Obtain preset ideal component data for each of the several gas sources to be tested. The ideal component data is used to characterize the gas composition and its concentration value under ideal conditions. For several gas sources to be tested, the relative change rate of component types and the relative change rate of component concentration between the component measurement data in the previous test results and the ideal component data are compared in turn, and the degree of state change of each of the several gas sources to be tested is calculated based on the relative change rate of component types and the relative change rate of component concentration. The gas sources to be tested are prioritized according to the degree of state change of each of the gas sources to be tested, so as to obtain the desired measurement priority. The measurement priority is adjusted based on the desired measurement priority to obtain the adjusted measurement priority; The first generation unit is used to generate pipeline control strategies corresponding to several target pipelines based on the target measurement frequency, the target measurement time obtained by the acquisition unit corresponding to several gas sources to be tested, and the adjusted target measurement priority obtained by the adjustment unit. The pipeline control strategies include the conduction control timing sequence corresponding to the solenoid valves on several target pipelines. The control unit is used to control the online analyzer to perform sequential analysis on a plurality of gas sources to be tested using the pipeline control strategy obtained by the first generating unit, so as to obtain the current test results corresponding to each of the gas sources to be tested. The display unit is used to sequentially visualize the current test results corresponding to each of the several test gas sources obtained by the control unit according to the preset gas source component template.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the steps of the method described in any one of claims 1-6.

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