Multi-pipeline measurement method and device of online analyzer for cryogenic helium extraction production line

Abstract

The invention provides a multi-pipeline measurement method and device for an online analyzer of a cryogenic helium extraction production line, relates to the technical field of assay analysis, and mainly aims to shorten the time required by multi-gas-source measurement and improve the working efficiency. According to the main technical scheme, the method comprises the following steps: acquiring gas source measurement parameters self-defined by a user on a configuration interface for a plurality of to-be-measured gas sources; determining respective state change degrees of the plurality of gas sources to be tested according to the previous test result, and dynamically adjusting the measurement priority according to the state change degrees; generating a pipeline control strategy corresponding to the plurality of target pipelines based on the measurement frequencies, the measurement time and the adjusted measurement priorities corresponding to the plurality of to-be-measured gas sources; utilizing a pipeline control strategy to control the on-line analyzer to sequentially carry out test analysis on the plurality of to-be-tested gas sources to obtain current test results corresponding to the plurality of to-be-tested gas sources; and according to a preset gas source component template, sequentially and visually displaying the current test results corresponding to the plurality of to-be-tested gas sources.

Description

Technical Field

[0001] This disclosure relates to the field of laboratory analysis technology, and in particular to a multi-pipeline measurement method and apparatus for an online analyzer used in a cryogenic helium extraction production line. Background Technology

[0002] In cryogenic helium extraction production lines, gas analysis is a crucial task, involving the real-time monitoring and analysis of various gas components, such as helium. Gas analysis is typically performed using a gas analyzer.

[0003] Currently, traditional gas analyzers are often designed as single-channel instruments. Single-channel means that only one gas source can be delivered and analyzed at a time via a single pipeline. When a different gas source needs to be analyzed, the pipeline for that source must be manually switched. However, because manual switching of gas source pipelines is required, the entire process lacks automation and intelligence when analyzing multiple gas sources. It cannot be flexibly adjusted according to actual needs, which is not only time-consuming and reduces work efficiency, but also increases operational complexity and cost. Summary of the Invention

[0004] In view of the above problems, this disclosure provides a multi-pipeline measurement method and device for an online analyzer used in a cryogenic helium extraction production line. The main purpose is to shorten the time required for multi-gas source measurement, reduce operational complexity and cost, and improve work efficiency through automated configuration and control.

[0005] To solve the above-mentioned technical problems, this disclosure proposes the following solutions: In a first aspect, this disclosure provides a multi-pipeline measurement method for an online analyzer used in a cryogenic helium extraction production line, applicable to an online analyzer simultaneously connected to multiple pipelines, the method comprising: 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 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.

[0006] Secondly, this disclosure provides a multi-pipeline measurement device for an online analyzer in a cryogenic helium extraction production line, applicable to an online analyzer that simultaneously connects 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. The 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. 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.

[0007] To achieve the above objectives, according to a third aspect of this disclosure, a computer apparatus is provided, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the first aspect.

[0008] To achieve the above objectives, according to a fourth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps of the method described in the first aspect.

[0009] To achieve the above objectives, according to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the steps of the method described in the first aspect.

[0010] By means of the above technical solution, this disclosure provides a multi-pipeline measurement method and device for an online analyzer used in a cryogenic helium extraction production line. When multiple gas sources need to be analyzed, the method acquires gas source measurement parameters defined by the user in the configuration interface for several gas sources to be tested. These gas source measurement parameters include several target pipelines and corresponding actual measurement execution rules for each gas source 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 method determines the degree of state change of each of the gas sources to be tested and... The target measurement priority is dynamically adjusted according to the degree of state change. Based on the target measurement frequency, target measurement time and the adjusted target measurement priority of each of the gas sources to be tested, pipeline control strategies are generated for each of the target pipelines. The pipeline control strategies include the conduction control timing of the solenoid valves on the target pipelines. Using the pipeline control strategies, the online analyzer is controlled to perform analysis on each of the gas sources to be tested in sequence, and the analysis results of each gas source to be tested are obtained. The analysis results of each gas source to be tested are then visualized in sequence according to the preset gas source component template. The technical solution provided in this disclosure allows users to customize gas source measurement parameters for several gas sources under test in the configuration interface. These parameters include several target pipelines connected to the gas sources, as well as the target measurement frequency, target measurement time, and target measurement priority corresponding to each gas source. This enables the online analyzer, which connects to multiple pipelines simultaneously, to quickly adapt to different application scenarios, thereby improving the flexibility and adaptability of the gas source measurement process. Furthermore, by determining the degree of state change of each gas source under test based on previous test results and dynamically adjusting the target measurement priority according to the degree of state change, the analyzer can promptly respond to gas sources with significant state changes, further improving the gas source measurement process. This system improves the adaptability and responsiveness of the process. Based on the target measurement frequency, target measurement time, and adjusted target measurement priority of several gas sources to be tested, it generates pipeline control strategies for several target pipelines. The online analyzer is then automatically controlled according to these strategies for analysis. This reduces the need for manual adjustments, simplifies the operation process, reduces errors and costs associated with manual operation, and improves the overall efficiency of the measurement task. After obtaining the current analysis results for several gas sources, the system uses preset gas source component templates to visually present the specific component data to the user, facilitating understanding and further analysis. Compared to existing technologies, automated configuration and control significantly shorten the time required for multi-source measurements, reduce operational complexity and costs, and improve work efficiency. Furthermore, the system allows for dynamic adjustment of measurement strategies based on user needs, enhancing flexibility and adaptability. This makes subsequent cryogenic helium extraction based on the analysis results more efficient and reliable, contributing to the development of related industries and technological advancements.

[0011] The above description is merely an overview of the technical solution disclosed herein. In order to better understand the technical means of this disclosure and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this disclosure more apparent and understandable, specific embodiments of this disclosure are described below. Attached Figure Description

[0012] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this disclosure. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A flowchart illustrating a multi-pipeline measurement method for an online analyzer used in a cryogenic helium extraction production line, provided by an embodiment of this disclosure, is shown. Figure 2 A flowchart illustrating another multi-pipeline measurement method for an online analyzer used in a cryogenic helium extraction production line, provided by an embodiment of this disclosure, is shown. Figure 3 This illustration shows a block diagram of a multi-pipeline measurement device for an online analyzer used in a cryogenic helium extraction production line, according to an embodiment of this disclosure. Figure 4 A block diagram of a multi-pipeline measurement device for an online analyzer used in a cryogenic helium extraction production line, as provided in an embodiment of this disclosure, is shown. Detailed Implementation

[0013] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0014] Currently, traditional gas analyzers are often designed as single-channel systems. This means that only one gas source can be delivered and analyzed at a time via a single pipeline. When analyzing a different gas source, manual switching of the pipeline is required. Specifically, the pipeline to the previous gas source is shut off, then vented for a period of time, before the pipeline to the current gas source is reopened for analysis. However, because manual switching of gas source pipelines is necessary, the entire process lacks automation and intelligence when analyzing multiple gas sources. It cannot be flexibly adjusted according to actual needs, resulting in time consumption, reduced efficiency, and increased operational complexity and cost.

[0015] This disclosure describes an online analyzer that connects a single channel to multiple pipelines to connect different gas sources, forming an online analyzer that simultaneously connects multiple pipelines. This online analyzer includes the online analyzer, several pipelines equipped with solenoid valves and connected to different gas sources, and a control terminal. A configuration interface can be set up, allowing users to customize gas source measurement parameters for several gas sources under test via the control terminal. This includes the target pipelines corresponding to each gas source, as well as the measurement frequency, measurement time, and measurement priority for each gas source, and other actual measurement execution rules. The measurement priority is dynamically adjusted based on previous test results. Based on the measurement frequency, measurement time, and adjusted priority of each gas source, a pipeline control strategy is generated for each target pipeline to control the online analyzer to perform sequential analysis. Once the test results are obtained, they are visualized. Through automated configuration and control, the time required for multi-source gas measurement is significantly reduced, operational complexity and cost are decreased, work efficiency is improved, and the measurement strategy can be dynamically adjusted according to user needs, increasing flexibility and adaptability.

[0016] Based on the above considerations, this disclosure provides a multi-pipeline measurement method for an online analyzer used in a cryogenic helium extraction production line. The method is applied to an online analyzer that simultaneously connects multiple pipelines, including an online analyzer, several pipelines, and a control terminal. One end of each pipeline is connected to a different gas source, and the other ends converge and connect to the inlet of the online analyzer. A first pressure-reducing valve and a first pressure sensor are installed on the inlet of the online analyzer. The first pressure-reducing valve is used to reduce the pressure of the gas source to be tested, and the first pressure sensor is used to measure the gas source pressure after pressure reduction by the first pressure-reducing valve. Each of the several pipelines is equipped with a solenoid valve, a second pressure-reducing valve, and a second pressure sensor. The solenoid valve is used to control the flow of the pipeline, the second pressure-reducing valve is used to reduce the pressure of the gas source connected to the pipeline, and the second pressure sensor is used to collect the gas source pressure after pressure reduction and before flow. The control terminal is communicatively connected to the first pressure sensor, the second pressure sensor, the solenoid valve, and the online analyzer. The control terminal is used to receive the gas source pressure collected by the first and second pressure sensors, control the opening and closing of the solenoid valve, and control the online analyzer to perform analytical operations. This method can shorten the time required for multi-source gas measurement, reduce operational complexity and cost, and improve work efficiency through automated configuration and control. The specific execution steps are as follows: Figure 1 As shown, it includes: 101. Obtain the gas source measurement parameters defined by the user for several gas sources to be tested in the configuration interface.

[0017] In this step, the configuration interface is generated based on pipeline information and the execution rules required for different gas sources during actual measurements. Specifically, basic information about all pipelines connected to the online analyzer is pre-acquired, including pipeline information (such as pipeline number, status, and connected gas source type). Basic parameter items are generated based on this pipeline information, while execution parameter items are generated according to the execution rules required for different gas sources during actual measurements (such as measurement frequency, measurement time, and measurement priority). These basic and execution parameter items are integrated into the configuration interface, which the user can request through the control terminal and further customize within. The user inputs or selects at least one gas source to be tested and its corresponding target pipeline through the configuration interface; one gas source to be tested occupies one target pipeline. For each target pipeline, the user sets its actual measurement execution rules, including but not limited to measurement frequency, measurement time, and measurement priority, to obtain the gas source measurement parameters. These gas source measurement parameters include the actual measurement execution rules corresponding to several target pipelines and several gas sources to be tested, including target measurement frequency, target measurement time, and target measurement priority. In addition, users can save configuration files for quick loading of different measurement schemes later.

[0018] 102. Based on the previous test results, determine the degree of state change of each of the gas sources to be tested, and dynamically adjust the priority of the measurement targets according to the degree of state change.

[0019] In this step, the previous test results for each of the gas sources to be tested are extracted from the control terminal as historical reference standards. For each gas source to be tested, its previous test results are compared with its preset ideal component data to calculate the corresponding degree of state change. This ideal component data is used to characterize the gas components and their concentrations under ideal conditions. Common comparison methods include: absolute difference: calculating the absolute difference in concentration of one or more gas components between the previous test results and the ideal component data; relative change rate: calculating the relative change rate of gas types and concentrations between the previous test results and the ideal component data; multi-parameter comprehensive evaluation: if it is necessary to consider the changes of multiple gas components, weighted average or other statistical methods can be used to comprehensively evaluate the overall degree of change. Based on the degree of state change, the measurement priority of each gas source to be tested is dynamically adjusted. Specifically, several gas sources can be prioritized based on the degree of state change of each source, resulting in a desired measurement priority. Weights are assigned to the relative importance of the desired and target measurement priorities, and a weighted average is used to calculate the final priority ranking that combines both. This allows for dynamic adjustment of the target measurement priority based on the desired priority, resulting in an adjusted target measurement priority. Furthermore, thresholds, such as relative change rate thresholds and absolute difference thresholds, can be pre-set. By comparing against these thresholds, if a significant change in the type or concentration of a gas component is identified, its target measurement priority is increased to ensure the next test is completed as quickly as possible. This dynamic adjustment mechanism for measurement priorities ensures timely response to gas sources with significant state changes, giving them higher priority and improving the adaptability and responsiveness of the gas source measurement process.

[0020] 103. Based on the target measurement frequency, target measurement time and adjusted target measurement priority of each of the several gas sources to be tested, generate pipeline control strategies corresponding to several target pipelines.

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 105. Based on the preset gas source component template, the current test results of several gas sources to be tested are displayed in sequence.

[0025] In this step, the control unit can construct a corresponding gas source component template based on the pipeline information of all pipelines connected to the online analyzer and preset component names. This template includes at least one real-time column and historical columns for each pipeline. The real-time column displays the latest gas source test result, i.e., the current test result, while the historical columns record the most recent historical test data for each gas source, i.e., the previous test result. Once the online analyzer has sequentially completed the analysis of several gas sources, it immediately displays the current test results of those sources in the real-time column and simultaneously updates the historical columns of the corresponding target pipelines. For user convenience, various formats such as charts (e.g., line graphs, bar charts), numerical lists, or dashboards can be used to visually display the changing trends of gas components. Furthermore, flexible data query and filtering tools can be inserted into the gas source component template, allowing users to quickly search for specific information based on different dimensions such as time, pipeline, and test type.

[0026] Based on the above Figure 1As can be seen from the implementation method, the multi-pipeline measurement method of the online analyzer for cryogenic helium extraction production line provided in this disclosure obtains the gas source measurement parameters defined by the user for several gas sources to be tested in the configuration interface when multiple gas sources need to be analyzed. The gas source measurement parameters include several target pipelines and the 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. The degree of state change of each of the gas sources to be tested is determined based on the previous test results, and the target measurement priority is dynamically adjusted according to the degree of state change. Based on the target measurement frequency, target measurement time and the adjusted target measurement priority corresponding to each of the gas sources to be tested, pipeline control strategies corresponding to several target pipelines are generated. The pipeline control strategies include the conduction control timing of the solenoid valves on several target pipelines. Using the pipeline control strategies, the online analyzer is controlled to analyze several gas sources to be tested in sequence, and the test results corresponding to each of the gas sources to be tested are obtained. The test results corresponding to each of the gas sources to be tested are visualized sequentially according to the preset gas source component template. The technical solution provided in this disclosure allows users to customize gas source measurement parameters for several gas sources under test in the configuration interface. These parameters include several target pipelines connected to the gas sources, as well as the target measurement frequency, target measurement time, and target measurement priority corresponding to each gas source. This enables the online analyzer, which connects to multiple pipelines simultaneously, to quickly adapt to different application scenarios, thereby improving the flexibility and adaptability of the gas source measurement process. Furthermore, by determining the degree of state change of each gas source under test based on previous test results and dynamically adjusting the target measurement priority according to the degree of state change, the analyzer can promptly respond to gas sources with significant state changes, further improving the gas source measurement process. This system improves the adaptability and responsiveness of the process. Based on the target measurement frequency, target measurement time, and adjusted target measurement priority of several gas sources to be tested, it generates pipeline control strategies for several target pipelines. The online analyzer is then automatically controlled according to these strategies for analysis. This reduces the need for manual adjustments, simplifies the operation process, reduces errors and costs associated with manual operation, and improves the overall efficiency of the measurement task. After obtaining the current analysis results for several gas sources, the system uses preset gas source component templates to visually present the specific component data to the user, facilitating understanding and further analysis. Compared to existing technologies, automated configuration and control significantly shorten the time required for multi-source measurements, reduce operational complexity and costs, and improve work efficiency. Furthermore, the system allows for dynamic adjustment of measurement strategies based on user needs, enhancing flexibility and adaptability. This makes subsequent cryogenic helium extraction based on the analysis results more efficient and reliable, contributing to the development of related industries and technological advancements.

[0027] Furthermore, the preferred embodiments of this disclosure are based on the above... Figure 1 Based on this, a detailed explanation of the multi-pipeline measurement process for an online analyzer used in a cryogenic helium extraction production line is provided, with the specific steps as follows: Figure 2 As shown, it includes: 201. Generate basic parameter items based on the pipe numbers, pipe status, and gas source types connected to all pipes connected to the air inlet of the online analyzer.

[0028] In this step, relevant information for all connected pipelines is automatically acquired from the online analyzer beforehand, including pipeline number (used to identify different pipelines), pipeline status (such as availability, current continuity, etc.), and the type of gas source connected to that pipeline. This information can be obtained in real-time by deploying sensors or other monitoring devices. Based on the collected pipeline information, a series of basic parameter items are automatically generated. These basic parameter items should at least include the following: pipeline number: uniquely identifies each pipeline; pipeline status: reflects the current operating status of the pipeline, allowing users to understand which pipelines are usable; gas source type: indicates the type of gas source connected to each pipeline, helping to determine measurement requirements and configure corresponding measurement rules.

[0029] 202. Generate execution parameter items based on measurement frequency, measurement time, and measurement priority.

[0030] In this step, default measurement frequencies, measurement times, and measurement priorities are pre-set based on the actual application scenario or user needs. For example, certain critical gases may require measurement every hour, while other gases can be measured at different frequencies based on their importance or rate of change. Measurement time refers to the duration for which the corresponding solenoid valve on the pipeline corresponding to the gas source under test is open during each measurement. Measurement priority refers to the order in which several gas sources under test are measured, which can be determined by the user based on various factors, such as the importance of the gas components and the urgency of the measurement requirement. Combining the preset measurement frequency, measurement time, and measurement priority, specific execution parameters are automatically generated. These execution parameters are not limited to frequency, time, and priority, but may also include other relevant parameters, such as pressure thresholds (to ensure operation within safe limits). It should be noted that the execution parameters need to be set according to the mutual influence between different gas sources and the maximum processing capacity of the equipment to ensure the stability and reliability of the entire system.

[0031] 203. Generate a configuration interface based on basic parameter items and execution parameter items.

[0032] In this step, a configuration interface that responds on the control panel is built using front-end technologies (such as HTML5, CSS3, and JavaScript). This interface displays all basic and execution parameters, which can be placed in separate areas, and a search function is provided for easy location of specific parameters. Furthermore, the configuration interface can be updated periodically by setting a cycle or triggered by monitoring certain events. For example, when the status of a pipeline changes (such as a pipeline malfunction), the latest status information of that pipeline can be reflected in real time on the configuration interface. Simultaneously, the configuration interface can also save user configuration changes and load the previously saved configuration file upon the next startup.

[0033] 204. Receive the user's first operation event on the basic parameter item and the second operation event on the execution parameter item in the configuration interface.

[0034] In this step, event listeners are pre-added to each basic parameter and execution parameter item on the configuration interface to capture user actions. The first operation event typically involves modification of basic parameters (such as selecting the target pipeline), while the second operation event mainly targets execution parameters (such as adjusting the measurement frequency or time). When the user completes an operation, the corresponding first and second operation events are immediately captured, and the corresponding processing logic is triggered.

[0035] 205. Based on the first operation event, determine several target pipelines, and based on the second operation event, determine the actual measurement execution rules corresponding to several gas sources to be tested.

[0036] In this step, based on the user's first operation event on the configuration interface (such as selecting certain pipelines as target pipelines corresponding to several gas sources to be tested), the selected target pipelines and their related information are recorded. Each gas source to be tested corresponds to one target pipeline. Based on the user's second operation event (such as adjusting the measurement frequency, measurement time, measurement priority, etc.), detailed actual measurement execution rules are generated for the selected gas sources to be tested. These actual measurement execution rules include the finally determined target measurement frequency, target measurement time, and target measurement priority. These actual measurement execution rules are used to guide the subsequent automated measurement process. These actual 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 air pressure is too low).

[0037] 206. The actual execution rules corresponding to several target pipelines and several gas sources to be tested are used as gas source measurement parameters.

[0038] In this step, the measured execution rules corresponding to several target pipelines and gas sources selected by the user are integrated into a complete set of gas source measurement parameters. These gas source measurement parameters will become the basis for generating pipeline control strategies. The integrated gas source measurement parameters can be saved in the database for later use when generating pipeline control strategies. Users can also choose to save the current configuration scheme for quick loading of the same measurement settings in the future, reducing the workload of repetitive configuration.

[0039] The implementation methods described in steps 201-206 greatly improve the adaptability and ease of operation for measuring various gas sources, not only meeting diverse measurement needs but also significantly improving work efficiency and accuracy.

[0040] 207. Based on the previous test results, determine the degree of state change of each of the gas sources to be tested, and dynamically adjust the target measurement priority according to the degree of state change.

[0041] 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 degree of state change of each gas source to be tested based on the previous test results, and dynamically adjusting the target measurement priority according to the degree of state change, is as follows: Obtain the preset ideal component data for each of the gas sources to be tested. The ideal component data is used to characterize the gas composition and its concentration value under ideal conditions; for each gas source to be tested, compare 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, and calculate the degree of state change of each gas source to be tested based on the relative change rate of component types and the relative change rate of component concentration; prioritize the gas sources to be tested according to their respective degree of state change to obtain the desired measurement priority; adjust the target measurement priority based on the desired measurement priority to obtain the adjusted target measurement priority.

[0042] In this step, the ideal composition data is a dataset characterizing the gas composition and concentration values ​​under ideal conditions. This dataset can be based on industry standards, equipment manufacturer recommendations, or user-defined settings. Ideal composition data is typically stored in a database on the control unit and can be viewed and modified through a configuration interface. For each gas source to be tested, an ideal composition dataset can be associated with it.

[0043] For the relative change rate of component types: This detects whether there are new components or the disappearance of certain components in the current test results. If so, the change in component types is calculated to obtain the relative change rate of component types.

[0044] For the relative rate of change of component concentration: For each component, calculate the relative rate of change of its concentration. The specific formula is: .

[0045] For example, suppose the previous test results were as follows: Pipeline A: Concentration 410 ppm Concentration 21.2%, newly added Ingredients. Pipeline B: Concentration 360ppm Concentration 20.7%. Pipeline C: Concentration 425ppm Concentration 20.1%.

[0046] Calculate the relative change rate of component types and the relative change rate of component concentrations: Pipeline A: Relative change rate of component types: due to the addition of Components, marked as significantly changed (hypothesis 1); Relative rate of change of concentration: ; Relative rate of change of concentration: .

[0047] Pipeline B: Relative change rate of component types: No new components, marked as 0; Relative rate of change of concentration: ; Relative rate of change of concentration: .

[0048] Pipeline C: Relative change rate of component types: No new components, marked as 0; Relative rate of change of concentration: ; Relative rate of change of concentration: .

[0049] After obtaining the relative change rates of component types and concentrations, the corresponding degree of state change can be calculated based on these two figures. A weight can be pre-assigned to each component (based on its importance or influence), and then a weighted comprehensive score can be calculated based on the changes in component types and concentrations. The specific formula is as follows: ; in, and The weights for changes in species and concentration are respectively, and can be adjusted according to actual needs.

[0050] For example, suppose and The scores are 0.6 and 0.4 respectively. Calculate the overall score for each pipeline: Gas source to be tested, a: Overall score = 0.6 × 1 + 0.4 × 1.725% = 0.6 + 0.0069 ≈ 0.61; Gas source b to be tested: Overall score = 0.6 × 0 + 0.4 × 1.915% = 0.00766 ≈ 0.01; Gas source to be tested c: Overall score = 0.6 × 0 + 0.4 × 0.845% = 0.00338 ≈ 0.003.

[0051] Based on the comprehensive scores of several gas sources to be tested, they are prioritized to obtain the desired measurement priority. Specifically, the degree of state change can be pre-divided into different intervals, with each interval corresponding to a desired priority. For example: comprehensive score > 0.5: high priority; 0.2 < comprehensive score ≤ 0.5: medium priority; comprehensive score ≤ 0.2: low priority.

[0052] Based on the comprehensive score above, the expected measurement priority for each pipeline is determined: Gas source a to be tested: comprehensive score of 0.61, belonging to high priority; Gas source b to be tested: comprehensive score of 0.01, belonging to low priority; Gas source c to be tested: comprehensive score of 0.003, belonging to low priority.

[0053] Introduce weights based on the degree of importance. and To balance the impact of expected measurement priorities and target measurement priorities. Typically, + =1. Convert the priority to numerical values ​​(e.g., high=2, medium=1, low=0), and then calculate a weighted average based on the weights to determine the adjusted priority. The specific formula is: .

[0054] For example, setting weights =0.7, =0.3.

[0055] Conversion priority is numerical: High priority: value 2; medium priority: value 1; low priority: value 0.

[0056] Calculate the adjusted priority: Gas source to be tested, a: The target priority is high (value 2), and the expected priority is also high (value 2).

[0057] Adjusted priority: Adjusted priority = 0.7 × 2 + 0.3 × 2 = 2. Result: Maintain high priority.

[0058] Gas source b to be tested: The target priority is medium (value 1), and the expected priority is low (value 0).

[0059] Adjusted priority: Adjusted priority = 0.7 × 0 + 0.3 × 1 = 0.3. Result: Adjusted to low priority (value close to 0).

[0060] Gas source to be tested c: The current priority is low (value 0), and the expected priority is also low (value 0).

[0061] Adjusted priority: Adjusted priority = 0.7 × 0 + 0.3 × 0 = 0. Result: Maintain low priority.

[0062] Through the detailed implementation methods described above, not only can changes in component types and concentrations be accurately assessed, but measurement priorities can also be dynamically adjusted based on these changes. Furthermore, the introduction of a weighting mechanism based on importance allows for a smooth transition between desired and current measurement priorities, avoiding instability caused by frequent adjustments. This not only improves the system's response speed and reliability but also enhances its adaptability and flexibility, thereby achieving more efficient and accurate gas analysis.

[0063] 208. Generate pipeline control strategies for several target pipelines based on the target measurement frequency, target measurement time, and adjusted target measurement priority of several gas sources to be tested.

[0064] This step combines the description of step 103 in the above method, and the same content will not be repeated here. It should be noted that the specific execution process of generating pipeline control strategies for several target pipelines based on the measurement frequency, measurement time, and adjusted measurement priority of several gas sources to be tested is as follows: determine the conduction time of each of the several target pipelines based on the measurement frequency and measurement time; obtain the pre-set drain space interval of the online analyzer; and arrange the conduction time and drain space interval of each of the several target pipelines in a time sequence according to the adjusted measurement priority to generate pipeline control strategies.

[0065] In this step, for several gas sources to be tested, the target measurement frequency (e.g., once per hour) and target measurement time (the duration of each measurement, such as 5 minutes) are extracted from their corresponding actual measurement execution rules. Based on the measurement frequency, the measurement cycle for each target pipeline is determined. For example, if the measurement frequency is once per hour, each target pipeline has one measurement opportunity per hour. The measurement time determines the opening period of the solenoid valve of that target pipeline within this cycle. For example, if the measurement time is 5 minutes, the pipeline will remain in the conducting state for a fixed period of time within each hour.

[0066] For example, suppose there are three target pipelines A, B, and C, and their respective measurement frequencies and durations are as follows: Target pipeline A: Measurement frequency is once every 2 hours, and measurement duration is 3 minutes.

[0067] Target pipeline B: Measurement frequency is once every 4 hours, and measurement duration is 5 minutes.

[0068] Target pipeline C: Measurement frequency is once every 6 hours, and measurement duration is 2 minutes.

[0069] Calculate the conduction time window for each target pipeline: Target pipeline A: Measurements are taken every 2 hours, for 3 minutes each time. Assuming the first measurement starts at 0:00, subsequent measurements will be taken at 2:00, 4:00, etc., each lasting 3 minutes.

[0070] Target pipeline B: Every 4 hours, 5 minutes each time. Assuming the first measurement starts at 0:00, subsequent measurements will be taken at 4:00, 8:00, etc., each lasting 5 minutes.

[0071] Target pipeline C: Every 6 hours, 2 minutes each time. Assuming the first measurement starts at 0:00, subsequent measurements will be taken at 6:00, 12:00, etc., each lasting 2 minutes.

[0072] Obtain the preset buffer interval (5 minutes) for the online analyzer. This buffer interval is a safety interval set to avoid conflicts caused by multiple target pipelines simultaneously requesting resources. It can be set according to factors such as equipment performance and actual needs. If the online analyzer can handle the measurement tasks of multiple pipelines simultaneously, the buffer interval can be shorter; otherwise, a longer buffer interval is required to ensure stable operation. Based on the conduction time and buffer interval, generate the conduction control timing sequence for the solenoid valves on several target pipelines.

[0073] Several target pipelines are sorted according to the adjusted measurement priority. Higher-priority target pipelines will have priority for measurement within their designated time periods. After considering conduction time and spacing, the measurement sequence and timing of each target pipeline can be automatically arranged, ensuring efficient resource utilization and avoiding conflicts. This arrangement is then translated into a specific sequence of control commands, including the opening and closing times of the solenoid valves on each target pipeline, and programmed into the online analyzer control system.

[0074] 209. 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.

[0075] This step combines the description of step 103 in the above method, and the same content will not be repeated here.

[0076] 210. Obtain the gas source component template.

[0077] In this step, the gas source component template is constructed based on all pipelines connected to the inlet of the online analyzer. The template includes at least one real-time column and historical columns for each pipeline. First, information on all currently connected pipelines is obtained from the online analyzer, including but not limited to the pipeline number, status, and connected gas source type. This information is then stored in a database. At the control end, a corresponding gas source component template is constructed based on the pipeline information of each connected pipeline of the online analyzer and preset component names. This template includes at least one real-time column and historical columns for each pipeline. The real-time column typically displays the current test result for one of several gas sources, including gas component measurement data for the currently connected target pipeline. The historical columns record the most recent historical test result for each pipeline, i.e., the previous test result, including previous gas component measurement data. Each pipeline has its own independent historical column. Various formats, such as charts (e.g., line graphs, bar charts), numerical lists, or dashboards, can be used to visually display the changing trends of gas components. The real-time and historical columns can be distinguished by different colors or labels, making it easy for users to quickly identify the latest data and historical records. The control panel supports dynamically adjusting the template layout to accommodate different numbers of pipelines and different display requirements.

[0078] 211. For the current test results of several gas sources to be tested, the component measurement data corresponding to the gas source test results are displayed in the real-time column and the historical column corresponding to several target pipelines respectively.

[0079] In this step, after the online analyzer sequentially completes the analysis of several gas sources to be tested, the control terminal receives a feedback signal containing specific component measurement data, i.e., the component measurement data corresponding to the current test result. This component measurement data typically includes key parameters such as the concentration and pressure values ​​of each gas component. The specific values ​​of each gas component are extracted and classified into the corresponding target pipeline. For example, if the current test targets gas source 'a', the result is classified into the relevant dataset of target pipeline A corresponding to 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 operators can obtain the latest data as soon as possible. If a pipeline remains open, the data in its column will be continuously updated with new test results until the status of the pipeline changes or is overwritten by new data. Simultaneously, the data in the corresponding target pipeline's historical column is updated. Each time a new test result is generated, a new record is added to the corresponding historical column, overwriting the previous test result, i.e., displaying the most recent gas source test result for that pipeline, i.e., the previous test result. Meanwhile, flexible data query and filtering tools can be inserted into the gas source component template, allowing users to quickly find specific information by different dimensions such as time, pipeline, and test type.

[0080] Furthermore, to ensure that the gas source to be tested is 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 impacts, the method also includes: sequentially collecting the first gas source pressure of the current gas source before entering the online analyzer from several gas sources to the inlet of the online analyzer, and determining whether the first gas 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 is controlled to stop the analysis and a corresponding inlet alarm message is generated.

[0081] In actual measurement, at the inlet of the online analyzer, after the gas source under test is depressurized by the first pressure reducing valve, the first pressure sensor continuously monitors the pressure of the gas source after depressurization, i.e., the first gas source pressure, and sends this pressure to the control terminal. A safety pressure threshold is pre-set based on the maximum safe pressure capacity of the online analyzer. This safety pressure threshold can be provided by the equipment manufacturer or adjusted based on actual usage and historical data. This safety pressure threshold is set according to the maximum safe pressure capacity of the online analyzer, specifically by subtracting a safety margin to prevent equipment damage from the maximum allowable input pressure corresponding to the maximum safe pressure 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 terminal compares the received first gas source pressure with the aforementioned safety pressure threshold. If the initial gas source pressure exceeds the safety pressure threshold (e.g., the current pressure is 6 bar, while the safety threshold is 8 bar), an immediate command is sent to the online analyzer, instructing it to stop the current analytical operation. Specific steps may include: closing the solenoid valves on the relevant pipelines to prevent low-pressure gas from entering the analyzer; pausing the analyzer's data acquisition and processing to avoid inaccurate data due to low pressure; and marking the currently ongoing measurement task as "paused" so it can be resumed after the problem is resolved. Simultaneously, an inlet gas alarm message is generated and notified to relevant personnel through multiple channels, including the control interface alarm, on-site audible alarm, email, or SMS, effectively preventing equipment damage or potential safety accidents caused by excessively high gas source pressure. After the problem is resolved, the operator can manually restart the analyzer through the user interface, or the system can automatically resume the measurement task once the pressure returns to normal.

[0082] Furthermore, to ensure the consistency of pressure in each connecting pipeline of the online analyzer after being connected to the gas source, after being depressurized by the second pressure reducing valve and before being turned on, and to avoid excessive differences in gas source pressure between different pipelines affecting the stability and safety of gas source measurement, the method also includes: for all pipelines connected to the gas inlet of the online analyzer, collecting the second gas source pressure of each corresponding gas source before being turned on, and sequentially determining whether each second gas source pressure is within a preset stable range; if not, marking the pipeline that is not within the preset stable range as a special pipeline, and generating an instability alarm message for the special pipeline.

[0083] During actual measurement, the pressure reduction capacity of the second pressure reducing valve on each pipeline is pre-set according to the characteristics of each gas source and equipment requirements. The gas source pressure after pressure reduction by the second pressure reducing valve is collected by each second pressure sensor, i.e., the second gas source pressure. For each pipeline connected to the inlet of the online analyzer, a preset stability range (e.g., 10 bar-12 bar) is set for all pipelines according to the characteristics of each gas source and equipment requirements. This preset stability range is set according to the pressure reduction capacity of the first pressure reducing valve, so that the pressure entering the online analyzer after pressure reduction by the first pressure reducing valve does not exceed the aforementioned safe pressure threshold. The second gas source pressure of each pipeline is compared with the preset stability range in turn. If the second gas source pressure of a certain pipeline is not within the preset stability range, the pipeline is immediately marked as a "special pipeline". The information of the special pipeline is stored in the database. At the same time, an instability alarm message is generated based on the "special pipeline" and relevant personnel are notified through multiple channels, including alarms on the control terminal interface, on-site audible alarms, and alarm notifications sent to designated contacts via email or SMS. For cases marked as "special pipelines," one of the following measures can be taken according to the pre-set strategy: Pause the analysis: If the gas source pressure deviates significantly from the preset stable range, it may not only affect the accuracy of the measurement results but also cause equipment damage or potential safety accidents. Therefore, the analysis of the "special pipeline" can be automatically paused and resumed after the problem is resolved; Adjust measurement parameters: For cases with slight deviations from the preset stable range, measurement parameters can be dynamically adjusted according to the actual situation (such as extending the measurement time, increasing the sample size, etc.) to compensate for potential impacts. After the problem is resolved, the operator can manually restart the analysis task of the relevant pipeline through the user interface, or the measurement task can be automatically resumed after the pressure returns to normal.

[0084] Furthermore, as a response to the above Figure 1-2 The implementation of the method embodiment shown in this disclosure provides a multi-pipeline measurement device for an online analyzer in a cryogenic helium extraction production line. This device is used to shorten the time required for multi-gas source measurement, reduce operational complexity and cost, and improve work efficiency through automated configuration and control. The embodiment of this device corresponds to the foregoing method embodiment. For ease of reading, this embodiment will not repeat the details of the foregoing method embodiment, but it should be understood that the device in this embodiment can correspondingly implement all the contents of the foregoing method embodiment. Specifically, as shown... Figure 3 As shown, an online analyzer that is simultaneously connected to multiple pipelines includes: The acquisition unit 301 is used to acquire 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. The adjustment unit 302 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 301 according to the degree of state change. The first generation unit 303 is used to generate a pipeline control strategy corresponding to a plurality of target pipelines based on the target measurement frequency, the target measurement time obtained by the acquisition unit 301 corresponding to a plurality of gas sources to be tested, and the adjusted target measurement priority obtained by the adjustment unit 302. The pipeline control strategy includes the conduction control timing corresponding to the solenoid valves on a plurality of target pipelines. The control unit 304 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 generation unit 303, and to obtain the current test results corresponding to each of the gas sources to be tested. Display unit 305 is used to sequentially visualize the current test results corresponding to each of the several test gas sources obtained by control unit 304 according to a preset gas source component template.

[0085] Furthermore, such as Figure 4 As shown, the device further includes: The first construction unit 306 is used to generate basic parameter items before the acquisition unit 301, based on the pipe number, pipe status and gas source type of each pipe connected to the air inlet of the online analyzer. The second building unit 307 is used to generate execution parameter items based on the measurement frequency, measurement time and measurement priority; The second generation unit 308 is used to generate the configuration interface based on the basic parameter items obtained by the first construction unit 306 and the execution parameter items obtained by the second construction unit 307. The acquisition unit 301 is specifically used for, 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.

[0086] Furthermore, such as Figure 4 As shown, the adjustment unit 302 includes: The first acquisition module 3021 is used to acquire preset ideal component data of each of the several gas sources to be tested, and the ideal component data is used to characterize the gas composition and its concentration value under ideal conditions. The calculation module 3022 is used to compare 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 obtained by the first acquisition module 3021 for a plurality of gas sources to be tested, and to calculate the degree of state change of each of the plurality of gas sources to be tested based on the relative change rate of component types and the relative change rate of component concentration. The sorting module 3023 is used to sort the gas sources to be tested according to the degree of state change of each of the gas sources to be tested obtained by the calculation module 3022, so as to obtain the desired measurement priority. The adjustment module 3024 is used to adjust the target measurement priority based on the expected measurement priority obtained by the sorting module 3023, so as to obtain the adjusted target measurement priority.

[0087] Furthermore, such as Figure 4 As shown, the first generation unit 303 includes: The determining module 3031 is used to determine the conduction time of each of the target pipelines based on the target measurement frequency and the target measurement time; The second acquisition module 3032 is used to acquire the preset space interval of the online analyzer; The generation module 3033 is used to arrange the conduction time of each of the target pipelines obtained by the determination module 3031 and the space interval obtained by the second acquisition module 3032 in a time sequence according to the adjusted target measurement priority, so as to generate the pipeline control strategy.

[0088] Furthermore, such as Figure 4 As shown, the display unit 305 includes: The third acquisition module 3051 is used to acquire the gas source component template, which is constructed based on all pipelines connected to the air inlet of the online analyzer. The gas source component template includes at least one real-time column and historical columns corresponding to each pipeline. Display module 3052 is used to sequentially display the component measurement data corresponding to the nitrogen concept test result in the real-time column obtained by the third acquisition module 3041 and the historical column corresponding to the target pipelines, based on the current test results corresponding to the respective gas sources to be tested. Further, as... Figure 4 As shown, the device further includes: The first monitoring unit 309 is used to sequentially collect the first gas source pressure of the current gas source before entering the online analyzer from a plurality of gas sources to be tested at the air inlet end of the online analyzer, and to determine whether the first gas 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. The first processing unit 310 is configured to, if the first monitoring unit 309 determines that the pressure of the first gas source is greater than the safe pressure threshold of the online analyzer, control the online analyzer to stop the analysis and generate an intake alarm message corresponding to the online analyzer.

[0089] Furthermore, such as Figure 4 As shown, the device further includes: The second monitoring unit 311 is used to collect the second gas source pressure of each corresponding gas source before it is turned on for the pipeline connected to the air inlet end of the online analyzer, and to determine in turn whether each second gas source pressure is within a preset stable range. The second processing unit 312 is used to mark the pipeline that is not in the preset stable range as a special pipeline and generate an instability alarm message for the special pipeline if the second monitoring unit 311 determines that there is a pipeline whose pressure of each of the second gas sources is not in the preset stable range.

[0090] Furthermore, embodiments of this disclosure also provide a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the above-described... Figure 1-2 The steps of the method described herein.

[0091] Furthermore, embodiments of this disclosure also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described... Figure 1-2 The steps of the method described herein.

[0092] Furthermore, this disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described... Figure 1-2 The steps of the method described herein.

[0093] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0094] It is understood that the relevant features in the above methods and apparatus can be referenced interchangeably. Furthermore, the terms "first," "second," etc., in the above embodiments are used to distinguish between embodiments and do not represent the superiority or inferiority of any particular embodiment.

[0095] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0096] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this disclosure is not directed to any particular programming language. It should be understood that the contents of this disclosure described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of this disclosure.

[0097] In addition, the memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0098] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0099] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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 processor, 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 a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0100] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0101] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0102] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0103] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0104] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, 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, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0105] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0106] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] The above are merely embodiments of this disclosure and are not intended to limit the scope of this disclosure. Various modifications and variations can be made to this disclosure by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of the claims of this disclosure.

Claims

1. A multi-line measurement method for an on-line analyzer of 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 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 of claim 1, wherein, 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 of claim 1, wherein, 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.

4. The method of claim 1, wherein, 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.

5. The method of claim 1, wherein, 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.

6. The method according to any one of claims 1 to 5, 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.

7. The method according to any one of claims 1 to 5, 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.

8. A multi-line measuring device for an on-line analyzer of a cryogenic helium extraction production line, characterized in that, The device is applicable to online analyzers that simultaneously connect multiple pipelines, and includes: 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. The 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. 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.

9. 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 1-7.

10. 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 1-7.

11. 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 1-7.

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