Central control method and system for automatic mass spectrum assembly line

Abstract

The invention provides a central control method and system for an automatic mass spectrum assembly line, and the method comprises the steps: obtaining the conveying state information of a sample meeting the mass spectrum detection requirement based on the sample preparation data of a preparation process interval of the mass spectrum assembly line, and carrying out the directional grabbing of a corresponding sample, and transferring the sample to a centrifugal process interval; performing dynamic visual identification on the sample in the centrifugal process interval to obtain liquid state change data of the sample in the centrifugal treatment process, so as to adjust the action state of the centrifugal treatment and identify the sample meeting the expected separation state, and directionally grabbing the corresponding sample and transferring the sample to the centrifugal process interval; differentiated mass spectrometric detection is carried out on all samples in the detection process interval to obtain mass spectrometric detection data, and whether the samples are correctly detected or not is judged, so that mass spectrometric detection operation is adjusted and the mass spectrometric detection data are sorted, and all operations of mass spectrometric detection are subjected to assembly line centralized and unified control; the mass spectrometry detection efficiency and the automation degree of a large number of samples are improved.

Description

Technical Field

[0001] The present invention relates to the field of mass spectrometry detection, and in particular to a central control method and system for an automated mass spectrometry pipeline. Background Art

[0002] Mass spectrometry is a technology for identifying material components, which mainly includes multiple steps such as preparation, centrifugation and detection. In addition, mass spectrometry has been widely used in biochemical detection in hospital settings, and the detection demand in hospital settings is huge, which makes the workload of mass spectrometry detection performed daily in hospitals increase accordingly. Existing mass spectrometry detection is completed by manual operation, and the mass spectrometry detection operation in the face of huge workload needs to increase human resources. However, the reliability and stability of manual operation for mass spectrometry detection are limited after all. Not only a large amount of manual operation needs to be processed, but also data entry and sorting of mass spectrometry detection results are required, and errors and omissions will inevitably occur in this process. At the same time, manual operation for mass spectrometry detection will increase the contact opportunities between personnel and samples, making samples more easily contaminated and reducing the credibility of mass spectrometry detection. The existing technology has appeared to use the assembly line mode to perform mass spectrometry detection on a large number of samples, but failed to centrally and uniformly control and process the different steps in mass spectrometry detection, reducing the automation and intelligence of mass spectrometry detection of a large number of samples. Summary of the invention

[0003] The object of the present invention is to provide a central control method and system for an automated mass spectrometry pipeline. Based on the sample preparation data of the preparation process interval of the mass spectrometry pipeline, the conveying state information of the sample that meets the mass spectrometry detection requirements is obtained, so that the corresponding sample is directed to be grabbed and transferred to the centrifugation process interval, and different types of samples are accurately prepared and transferred without human contact; the samples in the centrifugation process interval are dynamically visually identified to obtain the liquid state change data of the sample during the centrifugal treatment process, so as to adjust the action state of the centrifugal treatment and identify the sample that meets the expected separation state, and the corresponding sample is directed to be grabbed and transferred to the centrifugation process interval, and the sample is efficiently centrifuged and the effective substance components therein are quickly precipitated; all samples in the detection process interval are differentiated for mass spectrometry detection to obtain mass spectrometry detection data, and it is determined whether the sample is correctly detected, so as to adjust the mass spectrometry detection operation and organize the mass spectrometry detection data, so that all operations of the mass spectrometry detection are centrally and uniformly controlled by the pipeline, and the efficiency and automation of mass spectrometry detection of a large number of samples are improved.

[0004] The present invention is achieved through the following technical solutions:

[0005] A central control method for an automated mass spectrometry pipeline, comprising:

[0006] Acquire sample preparation data corresponding to the preparation process section of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying state information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline; based on the conveying state information, directionally grab all samples that meet the mass spectrometry detection requirements, so as to transfer all samples to the centrifugation process section of the mass spectrometry pipeline;

[0007] Performing dynamic visual recognition on all samples in the centrifugal process interval to obtain liquid state change data of all samples during the centrifugal process; adjusting the action state of the centrifugal process and identifying all samples that meet the expected separation state based on the liquid state change data; performing directional grabbing on all samples that meet the expected separation state, thereby transferring all samples to the detection process interval of the mass spectrometry pipeline;

[0008] Perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data for all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples.

[0009] Optionally, obtaining sample preparation data corresponding to a preparation process section of a mass spectrometry pipeline, analyzing the sample preparation data, and obtaining conveying state information of all samples that meet mass spectrometry detection requirements in the mass spectrometry pipeline; based on the conveying state information, directionally grabbing all samples that meet the mass spectrometry detection requirements, thereby transferring all samples to a centrifugation process section of the mass spectrometry pipeline, including:

[0010] Dynamically photograph the preparation process section of the mass spectrometry pipeline to obtain dynamic images of sample injection for all test tubes in the preparation process section; analyze the dynamic images of sample injection to obtain information on sample impurity content and sample injection volume in all test tubes, thereby determining whether the sample in each test tube meets the mass spectrometry detection requirements, and obtaining the conveying position information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline;

[0011] Based on the conveying position information, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined; and based on the respective weights of all samples that meet the mass spectrometry detection requirements, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the centrifugation process section of the mass spectrometry assembly line.

[0012] Optionally, the central control method for the automated mass spectrometry pipeline further comprises

[0013] Real-time monitoring of the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline;

[0014] Comparing the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline with a preset transfer time threshold;

[0015] When the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline exceeds a preset transfer time threshold, retrieving the sample transfer time in the historical operation record;

[0016] Obtaining a transfer time variation coefficient according to the sample transfer time in the historical operation record;

[0017] The transfer duration variation coefficient is obtained by the following formula:

[0018]

[0019] Where t represents the coefficient of change of transfer time; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y represents the transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; λ 01 and λ 02 represent the first adjustment coefficient and the second adjustment coefficient respectively, and the first adjustment coefficient is obtained by the following formula:

[0020]

[0021] Among them, λ 01 represents the first adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y Indicates the transfer time threshold; T max Indicates the maximum transfer duration corresponding to sample transfer in the historical operation records;

[0022] And, the second adjustment coefficient is obtained by the following formula:

[0023]

[0024] Among them, λ 02 represents the second adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T xIndicates that the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline exceeds the transfer time corresponding to the previous sample transfer corresponding to the preset transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; T i-1 Indicates the transfer time corresponding to the i-1th sample transfer;

[0025] Comparing the transfer duration variation coefficient with a preset variation coefficient threshold;

[0026] When the transfer time variation coefficient exceeds a preset variation coefficient threshold, the distance corresponding to the position difference between each two adjacent sample placements in the historical records is retrieved;

[0027] The sample transfer operation evaluation parameter is obtained by using the distance corresponding to the position difference between two adjacent sample placements and the sample transfer duration corresponding to each sample transfer;

[0028] The sample transfer duration to obtain the sample transfer operation evaluation parameter is obtained by the following formula:

[0029]

[0030] Among them, S represents the sample transfer operation evaluation parameter; t represents the transfer time variation coefficient; m represents the number of position differences between two adjacent sample placements; L i Indicates the specific value of the i-th position difference; L b Indicates the standard deviation value corresponding to m position differences; L y Indicates the preset position difference threshold; L m Indicates the position difference between the sample transfer to the centrifugal process section of the mass spectrometry pipeline and the previous sample transfer corresponding to the transfer time when the transfer time exceeds the preset transfer time threshold; L p represents the average value of the position differences corresponding to the number of sample transfers except for the sample whose transfer time to the centrifugal process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; L max Indicates the maximum value of the position difference corresponding to the number of transfers of other samples except for the sample whose transfer time to the centrifugation process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold;

[0031] comparing the sample transfer operation evaluation parameter with a preset evaluation parameter threshold;

[0032] When the sample transfer operation evaluation parameter exceeds a preset evaluation parameter threshold, it is determined that there is an abnormality in the sample transfer operation process, and a sample transfer abnormality alarm is issued.

[0033] Optionally, all samples in the centrifugal process interval are dynamically visually identified to obtain liquid state change data of all samples during the centrifugal process; based on the liquid state change data, the action state of the centrifugal process is adjusted and all samples that meet the expected separation state are identified; all samples that meet the expected separation state are directionally captured, thereby transferring all samples to the detection process interval of the mass spectrometry pipeline, including:

[0034] Dynamically photograph the centrifugal treatment process of all samples in the centrifugal process interval to obtain dynamic images of sample centrifugation; perform liquid contour recognition on the dynamic images of sample centrifugation to obtain data on the position change of the liquid stratification interface of all samples during the centrifugal treatment process; based on the data on the position change of the liquid stratification interface, adjust the rotation speed of the centrifugal treatment and identify all samples that have undergone stable liquid stratification separation;

[0035] Based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; and based on the respective weights of all samples that have undergone stable stratification separation, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the detection process interval of the mass spectrometry pipeline.

[0036] Optionally, performing differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data of all samples; based on the mass spectrometry detection data, identifying correctly detected samples and incorrectly detected samples; adjusting the mass spectrometry detection operation of the incorrectly detected samples, and recording and collating the mass spectrometry detection data of all correctly detected samples, including:

[0037] Based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain mass spectrometry detection data of all samples;

[0038] Noise identification is performed on the mass spectrometry detection data to obtain noise distribution characteristic information of the mass spectrometry detection data; based on the noise distribution characteristic information, correctly detected samples and incorrectly detected samples are identified; and based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected samples is adjusted; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and identified and classified.

[0039] A central control system for an automated mass spectrometry pipeline, comprising:

[0040] A sample preparation monitoring module is used to obtain sample preparation data corresponding to the preparation process interval of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying status information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline;

[0041] A first sample transfer control module, configured to carry out directional grabbing of all samples that meet the mass spectrometry detection requirements based on the transport state information, thereby transferring all samples to the centrifugation process section of the mass spectrometry pipeline;

[0042] A sample centrifugation monitoring module is used to perform dynamic visual recognition of all samples in the centrifugation process interval to obtain liquid state change data of all samples during the centrifugation process; based on the liquid state change data, adjust the action state of the centrifugation process and identify all samples that meet the desired separation state;

[0043] A second sample transfer control module, used for directionally grabbing all samples that meet the desired separation state, so as to transfer all samples to the detection process section of the mass spectrometry pipeline;

[0044] The mass spectrometry detection control and data processing module is used to perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data for all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples.

[0045] Optionally, the sample preparation monitoring module is used to obtain sample preparation data corresponding to the preparation process interval of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying status information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline, including:

[0046] Dynamically photograph the preparation process section of the mass spectrometry pipeline to obtain dynamic images of sample injection for all test tubes in the preparation process section; analyze the dynamic images of sample injection to obtain information on sample impurity content and sample injection volume in all test tubes, thereby determining whether the sample in each test tube meets the mass spectrometry detection requirements, and obtaining the conveying position information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline;

[0047] The first sample transfer control module is used to carry out directional grabbing of all samples that meet the mass spectrometry detection requirements based on the conveying state information, so as to transfer all samples to the centrifugation process section of the mass spectrometry pipeline, including:

[0048] Based on the conveying position information, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined; and based on the respective weights of all samples that meet the mass spectrometry detection requirements, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the centrifugation process section of the mass spectrometry assembly line.

[0049] Optionally, the central control system for the automated mass spectrometry pipeline also includes

[0050] A real-time monitoring module, used for real-time monitoring of the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline;

[0051] A first comparison module, configured to compare a transfer time of the sample to a centrifugation process section of the mass spectrometry pipeline with a preset transfer time threshold;

[0052] A duration information retrieval module, used for retrieving the sample transfer duration in the historical operation record when the transfer duration of the sample to the centrifugation process interval of the mass spectrometry pipeline exceeds a preset transfer duration threshold;

[0053] A transfer time variation coefficient acquisition module, used to acquire the transfer time variation coefficient according to the sample transfer time in the historical operation record;

[0054] The transfer duration variation coefficient is obtained by the following formula:

[0055]

[0056] Where t represents the coefficient of change of transfer time; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y represents the transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; λ 01 and λ 02 represent the first adjustment coefficient and the second adjustment coefficient respectively, and the first adjustment coefficient is obtained by the following formula:

[0057]

[0058] Among them, λ 01 represents the first adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y Indicates the transfer time threshold; T maxIndicates the maximum transfer duration corresponding to sample transfer in the historical operation records;

[0059] And, the second adjustment coefficient is obtained by the following formula:

[0060]

[0061] Among them, λ 02 represents the second adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T x Indicates that the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline exceeds the transfer time corresponding to the previous sample transfer corresponding to the preset transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; T i-1 Indicates the transfer time corresponding to the i-1th sample transfer;

[0062] A second comparison module, used for comparing the transfer duration variation coefficient with a preset variation coefficient threshold;

[0063] A distance data retrieval module is used to retrieve the distance corresponding to the position difference between each two adjacent sample placements in the historical records when the transfer time variation coefficient exceeds a preset variation coefficient threshold;

[0064] A sample transfer operation evaluation parameter acquisition module, used to obtain the sample transfer operation evaluation parameter by using the distance corresponding to the position difference between two adjacent sample placements combined with the sample transfer time corresponding to each sample transfer;

[0065] The sample transfer duration to obtain the sample transfer operation evaluation parameter is obtained by the following formula:

[0066]

[0067] Among them, S represents the sample transfer operation evaluation parameter; t represents the transfer time variation coefficient; m represents the number of position differences between two adjacent sample placements; L i Indicates the specific value of the i-th position difference; L b Indicates the standard deviation value corresponding to m position differences; L y Indicates the preset position difference threshold; L m Indicates the position difference between the sample transfer to the centrifugal process section of the mass spectrometry pipeline and the previous sample transfer corresponding to the transfer time when the transfer time exceeds the preset transfer time threshold; L prepresents the average value of the position differences corresponding to the number of sample transfers except for the sample whose transfer time to the centrifugal process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; L max Indicates the maximum value of the position difference corresponding to the number of transfers of other samples except for the sample whose transfer time to the centrifugation process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold;

[0068] A third comparison module, used to compare the sample transfer operation evaluation parameter with a preset evaluation parameter threshold;

[0069] The abnormality determination and alarm module is used to determine that there is an abnormality in the sample transfer operation process and issue a sample transfer abnormality alarm when the sample transfer operation evaluation parameter exceeds a preset evaluation parameter threshold.

[0070] Optionally, the sample centrifugation monitoring module is used to perform dynamic visual recognition on all samples in the centrifugation process interval to obtain liquid state change data of all samples during the centrifugation process; based on the liquid state change data, adjust the action state of the centrifugation and identify all samples that meet the expected separation state, including:

[0071] Dynamically photograph the centrifugal treatment process of all samples in the centrifugal process interval to obtain dynamic images of sample centrifugation; perform liquid contour recognition on the dynamic images of sample centrifugation to obtain data on the position change of the liquid stratification interface of all samples during the centrifugal treatment process; based on the data on the position change of the liquid stratification interface, adjust the rotation speed of the centrifugal treatment and identify all samples that have undergone stable liquid stratification separation;

[0072] The second sample transfer control module is used to directionally grab all samples that meet the desired separation state, so as to transfer all samples to the detection process interval of the mass spectrometry pipeline, including:

[0073] Based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; and based on the respective weights of all samples that have undergone stable stratification separation, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the detection process interval of the mass spectrometry pipeline.

[0074] Optionally, the mass spectrometry detection control and data processing module is used to perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data of all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples, including:

[0075] Based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain mass spectrometry detection data of all samples;

[0076] Noise identification is performed on the mass spectrometry detection data to obtain noise distribution characteristic information of the mass spectrometry detection data; based on the noise distribution characteristic information, correctly detected samples and incorrectly detected samples are identified; and based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected samples is adjusted; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and identified and classified.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] The central control method and system for an automated mass spectrometry pipeline provided in the present application obtain the conveying status information of samples that meet the mass spectrometry detection requirements based on the sample preparation data of the preparation process interval of the mass spectrometry pipeline, thereby performing directional grabbing on the corresponding samples and transferring them to the centrifugation process interval, and accurately preparing and transferring different types of samples without human contact; performing dynamic visual recognition on the samples in the centrifugation process interval to obtain the liquid state change data of the samples during the centrifugation process, thereby adjusting the action state of the centrifugation and identifying the samples that meet the expected separation state, and performing directional grabbing on the corresponding samples and transferring them to the centrifugation process interval, performing efficient centrifugation on the samples and quickly precipitating the effective substance components therein; and performing differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data, and judging whether the samples are correctly detected, thereby adjusting the mass spectrometry detection operation and organizing the mass spectrometry detection data, so that all mass spectrometry detection operations are centrally and uniformly controlled on the pipeline, and the efficiency and automation of mass spectrometry detection of a large number of samples are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0080] Figure 1 A schematic flow chart of a central control method for an automated mass spectrometry pipeline provided by the present invention.

[0081] Figure 2A schematic structural diagram of a central control system for an automated mass spectrometry pipeline provided by the present invention. DETAILED DESCRIPTION

[0082] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0083] The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0084] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0085] See also Figure 1 As shown, an embodiment of the present application provides a central control method for an automated mass spectrometry pipeline. The central control method for an automated mass spectrometry pipeline includes:

[0086] Acquire sample preparation data corresponding to the preparation process section of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying state information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline; based on the conveying state information, directionally grab all samples that meet the mass spectrometry detection requirements, so as to transfer all samples to the centrifugation process section of the mass spectrometry pipeline;

[0087] Perform dynamic visual recognition on all samples in the centrifugal process interval to obtain liquid state change data of all samples during the centrifugal process; based on the liquid state change data, adjust the action state of the centrifugal process and identify all samples that meet the expected separation state; perform directional grabbing on all samples that meet the expected separation state, so as to transfer all samples to the detection process interval of the mass spectrometry pipeline;

[0088] Perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data for all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples.

[0089] The beneficial effects of the above embodiments are as follows: the central control method for an automated mass spectrometry pipeline obtains the conveying status information of samples that meet the mass spectrometry detection requirements based on the sample preparation data of the preparation process interval of the mass spectrometry pipeline, thereby performing directional grabbing on the corresponding samples and transferring them to the centrifugation process interval, and accurately preparing and transferring different types of samples without human contact; performing dynamic visual recognition on the samples in the centrifugation process interval to obtain the liquid state change data of the samples during the centrifugation process, thereby adjusting the action state of the centrifugation process and identifying the samples that meet the expected separation state, and performing directional grabbing on the corresponding samples and transferring them to the centrifugation process interval, performing efficient centrifugation on the samples and quickly precipitating the effective substance components therein; and performing differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data, and judging whether the samples are correctly detected, thereby adjusting the mass spectrometry detection operation and organizing the mass spectrometry detection data, so that all operations of the mass spectrometry detection are centrally and uniformly controlled on the pipeline, and the efficiency and automation of mass spectrometry detection of a large number of samples are improved.

[0090] In another embodiment, sample preparation data corresponding to a preparation process section of a mass spectrometry pipeline is obtained, the sample preparation data is analyzed, and conveying state information of all samples meeting mass spectrometry detection requirements in the mass spectrometry pipeline is obtained; based on the conveying state information, all samples meeting the mass spectrometry detection requirements are directed to be grabbed, thereby transferring all samples to a centrifugation process section of the mass spectrometry pipeline, including:

[0091] Dynamically photograph the preparation process section of the mass spectrometry pipeline to obtain dynamic images of sample injection for all test tubes in the preparation process section; analyze the dynamic images of sample injection to obtain information on sample impurity content and sample injection volume in all test tubes, thereby determining whether the sample in each test tube meets the mass spectrometry detection requirements, and obtaining the conveying position information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline;

[0092] Based on the conveying position information, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined; and based on the respective weights of all samples that meet the mass spectrometry detection requirements, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the centrifugation process interval of the mass spectrometry assembly line.

[0093] The beneficial effects of the above embodiments are that the mass spectrometry pipeline mainly includes a preparation process interval, a centrifugation process interval and a detection process interval, and these three processes are respectively used for sample preparation, sample centrifugation and sample mass spectrometry detection operations; and the mass spectrometry pipeline is provided with a negative pressure adsorption transfer device in the form of a manipulator between the preparation process interval and the centrifugation process interval and between the centrifugation process interval and the detection process interval. The negative pressure adsorption transfer device can be used to centrally adsorb and transfer multiple test tubes containing samples, so that the samples can be transferred contactlessly between adjacent process intervals. Specifically, the preparation interval of the mass spectrometry pipeline is used to dissolve the tissue collected from the human body into the corresponding solution to obtain the corresponding sample solution, and then inject the sample solution into the test tube. In the actual sampling and solution process, impurities will inevitably be mixed. When the impurity content in the sample solution is large, it will affect the reliability of the subsequent mass spectrometry detection. It is necessary to identify the impurity content during the sample solution preparation process, and at the same time, it is also necessary to ensure that the test tube is injected with a sufficient volume of sample solution to ensure that there are enough effective sample substances for subsequent mass spectrometry detection. To this end, the preparation process interval is dynamically photographed to obtain dynamic images of sample (solution) injection for all test tubes within the preparation process interval, and the sample injection dynamic images are analyzed to obtain sample impurity content information (i.e., the impurity content ratio of the sample per unit volume) and sample injection amount information (i.e., the total volume value of the sample injected into the test tube) inside each test tube; if the impurity content ratio of the sample per unit volume is less than the preset ratio threshold and the total volume value of the sample injected into the test tube is greater than or equal to the preset volume threshold, it is determined that the sample inside the corresponding test tube meets the mass spectrometry detection requirements, and the corresponding test tube is output from the preparation process interval; otherwise, it is determined that the sample inside the corresponding test tube does not meet the mass spectrometry detection requirements, and the corresponding test tube is not output from the preparation process interval, and the transport position information of each test tube (sample) that meets the mass spectrometry detection requirements in the mass spectrometry assembly line is obtained, providing a basis for the subsequent accurate capture and transfer of samples to the centrifugation process interval. In addition, based on the conveying position information of all samples that meet the mass spectrometry detection requirements, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; the negative pressure adsorption transfer device includes a mechanical arm and a plurality of negative pressure adsorption disks arranged in an array thereon, each of which is used to perform negative pressure adsorption on a test tube, and the conveying position information of all samples that meet the mass spectrometry detection requirements is compared with the negative pressure adsorption disk array, so that the negative pressure adsorption action area can be determined, that is, the negative pressure adsorption action area refers to the location area of ​​the negative pressure adsorption disk that needs to perform negative pressure adsorption. And based on the weight of all samples that meet the mass spectrometry detection requirements, the negative pressure adsorption force of the negative pressure adsorption action area is adjusted to ensure stable negative pressure adsorption of the corresponding test tubes, thereby transferring all test tubes to the centrifugal process section of the mass spectrometry pipeline.

[0094] In another embodiment, the central control method for automating a mass spectrometry pipeline further comprises:

[0095] Real-time monitoring of the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline;

[0096] Comparing the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline with a preset transfer time threshold;

[0097] When the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline exceeds a preset transfer time threshold, retrieving the sample transfer time in the historical operation record;

[0098] Obtaining a transfer time variation coefficient according to the sample transfer time in the historical operation record;

[0099] The transfer duration variation coefficient is obtained by the following formula:

[0100]

[0101] Where t represents the coefficient of change of transfer time; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y represents the transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; λ 01 and λ 02 represent the first adjustment coefficient and the second adjustment coefficient respectively, and the first adjustment coefficient is obtained by the following formula:

[0102]

[0103] Among them, λ 01 represents the first adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y Indicates the transfer time threshold; T max Indicates the maximum transfer duration corresponding to sample transfer in the historical operation records;

[0104] And, the second adjustment coefficient is obtained by the following formula:

[0105]

[0106] Among them, λ 02 represents the second adjustment coefficient; T mrepresents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T x Indicates that the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline exceeds the transfer time corresponding to the previous sample transfer corresponding to the preset transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; T i-1 Indicates the transfer time corresponding to the i-1th sample transfer;

[0107] Comparing the transfer duration variation coefficient with a preset variation coefficient threshold;

[0108] When the transfer time variation coefficient exceeds a preset variation coefficient threshold, the distance corresponding to the position difference between each two adjacent sample placements in the historical records is retrieved;

[0109] The sample transfer operation evaluation parameter is obtained by using the distance corresponding to the position difference between two adjacent sample placements and the sample transfer duration corresponding to each sample transfer;

[0110] The sample transfer duration to obtain the sample transfer operation evaluation parameter is obtained by the following formula:

[0111]

[0112] Among them, S represents the sample transfer operation evaluation parameter; t represents the transfer time variation coefficient; m represents the number of position differences between two adjacent sample placements; L i Indicates the specific value of the i-th position difference; L b Indicates the standard deviation value corresponding to m position differences; L y Indicates the preset position difference threshold; L m Indicates the position difference between the sample transfer to the centrifugal process section of the mass spectrometry pipeline and the previous sample transfer corresponding to the transfer time when the transfer time exceeds the preset transfer time threshold; L p represents the average value of the position differences corresponding to the number of sample transfers except for the sample whose transfer time to the centrifugal process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; L max Indicates the maximum value of the position difference corresponding to the number of transfers of other samples except for the sample whose transfer time to the centrifugation process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold;

[0113] comparing the sample transfer operation evaluation parameter with a preset evaluation parameter threshold;

[0114] When the sample transfer operation evaluation parameter exceeds a preset evaluation parameter threshold, it is determined that there is an abnormality in the sample transfer operation process, and a sample transfer abnormality alarm is issued.

[0115] The beneficial effect of the above embodiment is that by real-time monitoring of the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline, and comparing it with the preset transfer time threshold, the potential delay problem in the sample transfer process can be discovered in time. This real-time monitoring mechanism helps to respond and solve problems quickly, avoiding delays in the entire mass spectrometry analysis process. When the transfer time exceeds the threshold, the technical solution not only retrieves the historical operation records for analysis, but also quantifies the fluctuation of the transfer time by calculating the transfer time variation coefficient. This dynamic analysis method helps to identify the trend and pattern of the transfer time change, and provides data support for subsequent process optimization. By introducing the first adjustment coefficient and the second adjustment coefficient, the technical solution can more finely adjust the calculation of the transfer time variation coefficient so that it can more accurately reflect the actual situation. This adjustment mechanism enhances the adaptability and flexibility of the technical solution, so that it can cope with the change of transfer time in different scenarios. When the transfer time variation coefficient exceeds the preset threshold, further analyzing the distance corresponding to the corresponding position difference of each adjacent two sample placements helps to locate specific problems in the transfer process. For example, abnormal changes in position difference may indicate problems such as unreasonable sample transfer path or equipment failure. By calculating the sample transfer operation evaluation parameters, the technical solution can give a comprehensive evaluation result to determine whether there is any abnormality in the sample transfer operation process. When the evaluation parameters exceed the preset threshold, the sample transfer abnormality alarm is triggered, and relevant personnel are notified in time to handle it, ensuring the smooth progress of the mass spectrometry analysis process.

[0116] In summary, this technical solution achieves comprehensive monitoring and optimization of the sample transfer process in the mass spectrometry pipeline through real-time monitoring, dynamic analysis, fine adjustment, position difference analysis and comprehensive evaluation, thereby improving the accuracy and efficiency of mass spectrometry analysis.

[0117] In another embodiment, all samples in the centrifugal process interval are dynamically visually identified to obtain liquid state change data of all samples during the centrifugal process; based on the liquid state change data, the action state of the centrifugal process is adjusted and all samples that meet the expected separation state are identified; all samples that meet the expected separation state are directionally captured, so as to transfer all samples to the detection process interval of the mass spectrometry pipeline, including:

[0118] Dynamically photograph the centrifugal treatment process of all samples in the centrifugal process interval to obtain dynamic images of sample centrifugation; perform liquid contour recognition on the dynamic images of sample centrifugation to obtain data on the position change of the liquid stratification interface of all samples during the centrifugal treatment process; based on the data on the position change of the liquid stratification interface, adjust the rotation speed of the centrifugal treatment and identify all samples that have undergone stable liquid stratification separation;

[0119] Based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; and based on the respective weights of all samples that have undergone stable stratification separation, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the detection process interval of the mass spectrometry pipeline.

[0120] The beneficial effect of the above embodiment is that the centrifugal process section of the mass spectrometry pipeline is used to centrifuge the sample, so as to separate the sample into liquid and precipitate the effective substance for subsequent mass spectrometry detection. In order to improve the efficiency and speed of liquid separation inside the sample, the centrifugal process of all samples in the centrifugal process section is dynamically photographed to obtain a dynamic image of sample centrifugation, and the liquid contour is identified on the dynamic image of sample centrifugation to obtain the liquid stratification interface position change data of all samples during the centrifugal process. The liquid stratification interface position change data can be but is not limited to the height position change data of the liquid stratification interface inside the sample itself during the centrifugal process. The liquid stratification interface position change data is analyzed in the time domain to determine whether the height position of the liquid stratification interface inside the sample does not change within a predetermined time length. If so, it is determined that the corresponding sample has undergone stable liquid stratification separation. If not, it is determined that the corresponding sample has not reached stable liquid stratification separation. At this time, it is necessary to increase the rotation speed of the sample for centrifugal treatment. In addition, based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined, that is, the position information of all samples that have undergone stable liquid stratification separation is compared with the negative pressure adsorption disk array of the negative pressure adsorption transfer device. In this way, the negative pressure adsorption action area can be determined, and based on the weight of all samples that meet the requirements of the mass spectrometry detection, the negative pressure adsorption force of the negative pressure adsorption action area is adjusted to ensure stable negative pressure adsorption of the corresponding test tubes, thereby transferring all test tubes to the detection process interval of the mass spectrometry assembly line.

[0121] In another embodiment, all samples in the detection process interval are subjected to differentiated mass spectrometry detection to obtain mass spectrometry detection data of all samples; based on the mass spectrometry detection data, correctly detected samples and incorrectly detected samples are identified; the mass spectrometry detection operation of the incorrectly detected samples is adjusted, and the mass spectrometry detection data of all correctly detected samples are recorded and sorted, including:

[0122] Based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain mass spectrometry detection data of all samples;

[0123] Noise identification is performed on the mass spectrometry detection data to obtain noise distribution characteristic information of the mass spectrometry detection data; based on the noise distribution characteristic information, correctly detected samples and incorrectly detected samples are identified; and based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected samples is adjusted; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and identified and classified.

[0124] The beneficial effect of the above embodiment is that mass spectrometry detection is to apply a corresponding electric field to the sample, so that the sample is ionized and forms an ion beam, and then mass spectrometry analysis is performed by a mass analyzer. Different samples contain different material components, and the electric field required for ionization and ion beam formation is also different accordingly. To ensure that the sample can be globally ionized, based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain the mass spectrometry detection data of all samples, so as to ensure effective ionization and mass spectrometry analysis of different samples. In the actual mass spectrometry detection process, it is inevitable to be disturbed by the outside world, so that the mass spectrometry detection data has corresponding noise interference. In order to ensure the accuracy of the mass spectrometry detection data, the mass spectrometry detection data is subjected to noise identification to obtain the noise distribution characteristic information of the mass spectrometry detection data; wherein, the noise distribution characteristic information may be, but is not limited to, the signal proportion of noise in the corresponding mass distribution domain in the mass spectrometry detection data; if the signal proportion of noise in the corresponding mass distribution domain is less than the preset proportion threshold, it is judged that the sample has been correctly detected; otherwise, it is judged that the sample has not been correctly detected, so as to facilitate the subsequent targeted adjustment of the ionization electric field for the incorrectly detected sample. In addition, based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected sample is adjusted, so that the external interference in the mass spectrometry detection process can be effectively suppressed; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and classified, so as to realize the effective and accurate mass spectrometry data integration and processing of the samples.

[0125] See also Figure 2 As shown, an embodiment of the present application provides a central control system for an automated mass spectrometry pipeline. The central control system for an automated mass spectrometry pipeline includes:

[0126] The sample preparation monitoring module is used to obtain the sample preparation data corresponding to the preparation process interval of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying status information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline;

[0127] A first sample transfer control module, used for directionally grabbing all samples that meet the mass spectrometry detection requirements based on the transport state information, so as to transfer all samples to the centrifugation process section of the mass spectrometry pipeline;

[0128] The sample centrifugal processing monitoring module is used to dynamically visually identify all samples in the centrifugal process interval to obtain the liquid state change data of all samples during the centrifugal processing; based on the liquid state change data, adjust the action state of the centrifugal processing and identify all samples that meet the desired separation state;

[0129] A second sample transfer control module is used to directionally grab all samples that meet the desired separation state, so as to transfer all samples to the detection process interval of the mass spectrometry pipeline;

[0130] The mass spectrometry detection control and data processing module is used to perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data for all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples.

[0131] The beneficial effects of the above embodiments are as follows: the central control system for the automated mass spectrometry assembly line obtains the conveying status information of the samples that meet the mass spectrometry detection requirements based on the sample preparation data of the preparation process interval of the mass spectrometry assembly line, thereby performing directional grabbing on the corresponding samples and transferring them to the centrifugation process interval, and accurately preparing and transferring different types of samples without manual contact; performing dynamic visual recognition on the samples in the centrifugation process interval to obtain the liquid state change data of the samples during the centrifugation process, thereby adjusting the action state of the centrifugation and identifying the samples that meet the expected separation state, and performing directional grabbing on the corresponding samples and transferring them to the centrifugation process interval, performing efficient centrifugation on the samples and quickly precipitating the effective material components therein; and performing differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data, and judging whether the samples are correctly detected, thereby adjusting the mass spectrometry detection operation and sorting the mass spectrometry detection data, so that all operations of the mass spectrometry detection are centrally and uniformly controlled on the assembly line, and the efficiency and automation of mass spectrometry detection of a large number of samples are improved.

[0132] In another embodiment, the sample preparation monitoring module is used to obtain sample preparation data corresponding to the preparation process interval of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying status information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline, including:

[0133] Dynamically photograph the preparation process section of the mass spectrometry pipeline to obtain dynamic images of sample injection for all test tubes in the preparation process section; analyze the dynamic images of sample injection to obtain information on sample impurity content and sample injection volume in all test tubes, thereby determining whether the sample in each test tube meets the mass spectrometry detection requirements, and obtaining the conveying position information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline;

[0134] The first sample transfer control module is used to carry out directional grabbing of all samples that meet the mass spectrometry detection requirements based on the transport state information, thereby transferring all samples to the centrifugation process section of the mass spectrometry pipeline, including:

[0135] Based on the conveying position information, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined; and based on the respective weights of all samples that meet the mass spectrometry detection requirements, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the centrifugation process interval of the mass spectrometry assembly line.

[0136] The beneficial effects of the above embodiments are that the mass spectrometry pipeline mainly includes a preparation process interval, a centrifugation process interval and a detection process interval, and these three processes are respectively used for sample preparation, sample centrifugation and sample mass spectrometry detection operations; and the mass spectrometry pipeline is provided with a negative pressure adsorption transfer device in the form of a manipulator between the preparation process interval and the centrifugation process interval and between the centrifugation process interval and the detection process interval. The negative pressure adsorption transfer device can be used to centrally adsorb and transfer multiple test tubes containing samples, so that the samples can be transferred contactlessly between adjacent process intervals. Specifically, the preparation interval of the mass spectrometry pipeline is used to dissolve the tissue collected from the human body into the corresponding solution to obtain the corresponding sample solution, and then inject the sample solution into the test tube. In the actual sampling and solution process, impurities will inevitably be mixed. When the impurity content in the sample solution is large, it will affect the reliability of the subsequent mass spectrometry detection. It is necessary to identify the impurity content during the sample solution preparation process, and at the same time, it is also necessary to ensure that the test tube is injected with a sufficient volume of sample solution to ensure that there are enough effective sample substances for subsequent mass spectrometry detection. To this end, the preparation process interval is dynamically photographed to obtain dynamic images of sample (solution) injection for all test tubes within the preparation process interval, and the sample injection dynamic images are analyzed to obtain sample impurity content information (i.e., the impurity content ratio of the sample per unit volume) and sample injection amount information (i.e., the total volume value of the sample injected into the test tube) inside each test tube; if the impurity content ratio of the sample per unit volume is less than the preset ratio threshold and the total volume value of the sample injected into the test tube is greater than or equal to the preset volume threshold, it is determined that the sample inside the corresponding test tube meets the mass spectrometry detection requirements, and the corresponding test tube is output from the preparation process interval; otherwise, it is determined that the sample inside the corresponding test tube does not meet the mass spectrometry detection requirements, and the corresponding test tube is not output from the preparation process interval, and the transport position information of each test tube (sample) that meets the mass spectrometry detection requirements in the mass spectrometry assembly line is obtained, providing a basis for the subsequent accurate capture and transfer of samples to the centrifugation process interval. In addition, based on the conveying position information of all samples that meet the mass spectrometry detection requirements, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; the negative pressure adsorption transfer device includes a mechanical arm and a plurality of negative pressure adsorption disks arranged in an array thereon, each of which is used to perform negative pressure adsorption on a test tube, and the conveying position information of all samples that meet the mass spectrometry detection requirements is compared with the negative pressure adsorption disk array, so that the negative pressure adsorption action area can be determined, that is, the negative pressure adsorption action area refers to the location area of ​​the negative pressure adsorption disk that needs to perform negative pressure adsorption. And based on the weight of all samples that meet the mass spectrometry detection requirements, the negative pressure adsorption force of the negative pressure adsorption action area is adjusted to ensure stable negative pressure adsorption of the corresponding test tubes, thereby transferring all test tubes to the centrifugal process section of the mass spectrometry pipeline.

[0137] In another embodiment, the central control system for the automated mass spectrometry pipeline further comprises

[0138] A real-time monitoring module, used for real-time monitoring of the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline;

[0139] A first comparison module, configured to compare a transfer time of the sample to a centrifugation process section of the mass spectrometry pipeline with a preset transfer time threshold;

[0140] A duration information retrieval module, used for retrieving the sample transfer duration in the historical operation record when the transfer duration of the sample to the centrifugation process interval of the mass spectrometry pipeline exceeds a preset transfer duration threshold;

[0141] A transfer time variation coefficient acquisition module, used to acquire the transfer time variation coefficient according to the sample transfer time in the historical operation record;

[0142] The transfer duration variation coefficient is obtained by the following formula:

[0143]

[0144] Where t represents the coefficient of change of transfer time; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y represents the transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; λ 01 and λ 02 represent the first adjustment coefficient and the second adjustment coefficient respectively, and the first adjustment coefficient is obtained by the following formula:

[0145]

[0146] Among them, λ 01 represents the first adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y Indicates the transfer time threshold; T max Indicates the maximum transfer duration corresponding to sample transfer in the historical operation records;

[0147] And, the second adjustment coefficient is obtained by the following formula:

[0148]

[0149] Among them, λ 02represents the second adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T x Indicates that the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline exceeds the transfer time corresponding to the previous sample transfer corresponding to the preset transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; T i-1 Indicates the transfer time corresponding to the i-1th sample transfer;

[0150] A second comparison module, used for comparing the transfer duration variation coefficient with a preset variation coefficient threshold;

[0151] A distance data retrieval module is used to retrieve the distance corresponding to the position difference between each two adjacent sample placements in the historical records when the transfer time variation coefficient exceeds a preset variation coefficient threshold;

[0152] A sample transfer operation evaluation parameter acquisition module, used to obtain the sample transfer operation evaluation parameter by using the distance corresponding to the position difference between two adjacent sample placements combined with the sample transfer time corresponding to each sample transfer;

[0153] The sample transfer duration to obtain the sample transfer operation evaluation parameter is obtained by the following formula:

[0154]

[0155] Among them, S represents the sample transfer operation evaluation parameter; t represents the transfer time variation coefficient; m represents the number of position differences between two adjacent sample placements; L i Indicates the specific value of the i-th position difference; L b Indicates the standard deviation value corresponding to m position differences; L y Indicates the preset position difference threshold; L m Indicates the position difference between the sample transfer to the centrifugal process section of the mass spectrometry pipeline and the previous sample transfer corresponding to the transfer time when the transfer time exceeds the preset transfer time threshold; L p represents the average value of the position differences corresponding to the number of sample transfers except for the sample whose transfer time to the centrifugal process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; L max Indicates the maximum value of the position difference corresponding to the number of transfers of other samples except for the sample whose transfer time to the centrifugation process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold;

[0156] A third comparison module, used to compare the sample transfer operation evaluation parameter with a preset evaluation parameter threshold;

[0157] The abnormality determination and alarm module is used to determine that there is an abnormality in the sample transfer operation process and issue a sample transfer abnormality alarm when the sample transfer operation evaluation parameter exceeds a preset evaluation parameter threshold.

[0158] The beneficial effect of the above embodiment is that by real-time monitoring of the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline, and comparing it with the preset transfer time threshold, the potential delay problem in the sample transfer process can be discovered in time. This real-time monitoring mechanism helps to respond and solve problems quickly, avoiding delays in the entire mass spectrometry analysis process. When the transfer time exceeds the threshold, the technical solution not only retrieves the historical operation records for analysis, but also quantifies the fluctuation of the transfer time by calculating the transfer time variation coefficient. This dynamic analysis method helps to identify the trend and pattern of the transfer time change, and provides data support for subsequent process optimization. By introducing the first adjustment coefficient and the second adjustment coefficient, the technical solution can more finely adjust the calculation of the transfer time variation coefficient so that it can more accurately reflect the actual situation. This adjustment mechanism enhances the adaptability and flexibility of the technical solution, so that it can cope with the change of transfer time in different scenarios. When the transfer time variation coefficient exceeds the preset threshold, further analyzing the distance corresponding to the corresponding position difference of each adjacent two sample placements helps to locate specific problems in the transfer process. For example, abnormal changes in position difference may indicate problems such as unreasonable sample transfer path or equipment failure. By calculating the sample transfer operation evaluation parameters, the technical solution can give a comprehensive evaluation result to determine whether there is any abnormality in the sample transfer operation process. When the evaluation parameters exceed the preset threshold, the sample transfer abnormality alarm is triggered, and relevant personnel are notified in time to handle it, ensuring the smooth progress of the mass spectrometry analysis process.

[0159] In summary, this technical solution achieves comprehensive monitoring and optimization of the sample transfer process in the mass spectrometry pipeline through real-time monitoring, dynamic analysis, fine adjustment, position difference analysis and comprehensive evaluation, thereby improving the accuracy and efficiency of mass spectrometry analysis.

[0160] In another embodiment, the sample centrifugation monitoring module is used to perform dynamic visual recognition of all samples in the centrifugation process interval to obtain liquid state change data of all samples during the centrifugation process; based on the liquid state change data, adjust the action state of the centrifugation and identify all samples that meet the desired separation state, including:

[0161] Dynamically photograph the centrifugal treatment process of all samples in the centrifugal process interval to obtain dynamic images of sample centrifugation; perform liquid contour recognition on the dynamic images of sample centrifugation to obtain data on the position change of the liquid stratification interface of all samples during the centrifugal treatment process; based on the data on the position change of the liquid stratification interface, adjust the rotation speed of the centrifugal treatment and identify all samples that have undergone stable liquid stratification separation;

[0162] The second sample transfer control module is used to directionally grab all samples that meet the desired separation state, so as to transfer all samples to the detection process interval of the mass spectrometry pipeline, including:

[0163] Based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; and based on the respective weights of all samples that have undergone stable stratification separation, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the detection process interval of the mass spectrometry pipeline.

[0164] The beneficial effect of the above embodiment is that the centrifugal process section of the mass spectrometry pipeline is used to centrifuge the sample, so as to separate the sample into liquid and precipitate the effective substance for subsequent mass spectrometry detection. In order to improve the efficiency and speed of liquid separation inside the sample, the centrifugal process of all samples in the centrifugal process section is dynamically photographed to obtain a dynamic image of sample centrifugation, and the liquid contour is identified on the dynamic image of sample centrifugation to obtain the liquid stratification interface position change data of all samples during the centrifugal process. The liquid stratification interface position change data can be but is not limited to the height position change data of the liquid stratification interface inside the sample itself during the centrifugal process. The liquid stratification interface position change data is analyzed in the time domain to determine whether the height position of the liquid stratification interface inside the sample does not change within a predetermined time length. If so, it is determined that the corresponding sample has undergone stable liquid stratification separation. If not, it is determined that the corresponding sample has not reached stable liquid stratification separation. At this time, it is necessary to increase the rotation speed of the sample for centrifugal treatment. In addition, based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined, that is, the position information of all samples that have undergone stable liquid stratification separation is compared with the negative pressure adsorption disk array of the negative pressure adsorption transfer device. In this way, the negative pressure adsorption action area can be determined, and based on the weight of all samples that meet the requirements of the mass spectrometry detection, the negative pressure adsorption force of the negative pressure adsorption action area is adjusted to ensure stable negative pressure adsorption of the corresponding test tubes, thereby transferring all test tubes to the detection process interval of the mass spectrometry assembly line.

[0165] In another embodiment, the mass spectrometry detection control and data processing module is used to perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data of all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples, including:

[0166] Based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain mass spectrometry detection data of all samples;

[0167] Noise identification is performed on the mass spectrometry detection data to obtain noise distribution characteristic information of the mass spectrometry detection data; based on the noise distribution characteristic information, correctly detected samples and incorrectly detected samples are identified; and based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected samples is adjusted; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and identified and classified.

[0168] The beneficial effect of the above embodiment is that mass spectrometry detection is to apply a corresponding electric field to the sample, so that the sample is ionized and forms an ion beam, and then mass spectrometry analysis is performed by a mass analyzer. Different samples contain different material components, and the electric field required for ionization and ion beam formation is also different accordingly. To ensure that the sample can be globally ionized, based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain the mass spectrometry detection data of all samples, so as to ensure effective ionization and mass spectrometry analysis of different samples. In the actual mass spectrometry detection process, it is inevitable to be disturbed by the outside world, so that the mass spectrometry detection data has corresponding noise interference. In order to ensure the accuracy of the mass spectrometry detection data, the mass spectrometry detection data is subjected to noise identification to obtain the noise distribution characteristic information of the mass spectrometry detection data; wherein, the noise distribution characteristic information may be, but is not limited to, the signal proportion of noise in the corresponding mass distribution domain in the mass spectrometry detection data; if the signal proportion of noise in the corresponding mass distribution domain is less than the preset proportion threshold, it is judged that the sample has been correctly detected; otherwise, it is judged that the sample has not been correctly detected, so as to facilitate the subsequent targeted adjustment of the ionization electric field for the incorrectly detected sample. In addition, based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected sample is adjusted, so that the external interference in the mass spectrometry detection process can be effectively suppressed; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and classified, so as to realize the effective and accurate mass spectrometry data integration and processing of the samples.

[0169] In general, the central control method and system for an automated mass spectrometry assembly line obtains the conveying status information of samples that meet the mass spectrometry detection requirements based on the sample preparation data of the preparation process section of the mass spectrometry assembly line, thereby performing directional grabbing on the corresponding samples and transferring them to the centrifugation process section, and accurately preparing and transferring different types of samples without human contact; performing dynamic visual recognition on the samples in the centrifugation process section to obtain the liquid state change data of the samples during the centrifugation process, thereby adjusting the action state of the centrifugation and identifying the samples that meet the expected separation state, and performing directional grabbing on the corresponding samples and transferring them to the centrifugation process section, performing efficient centrifugation on the samples and quickly precipitating the effective substance components therein; and performing differentiated mass spectrometry detection on all samples in the detection process section to obtain mass spectrometry detection data, and judging whether the samples are correctly detected, thereby adjusting the mass spectrometry detection operation and organizing the mass spectrometry detection data, so that all mass spectrometry detection operations are centrally and uniformly controlled on the assembly line, and the efficiency and automation of mass spectrometry detection of a large number of samples are improved.

[0170] The above is only a specific implementation of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the protection scope of the present invention.

Claims

1. A central control method for an automated mass spectrometry pipeline, characterized in that: include: Acquire sample preparation data corresponding to the preparation process section of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying state information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline; based on the conveying state information, directionally grab all samples that meet the mass spectrometry detection requirements, so as to transfer all samples to the centrifugation process section of the mass spectrometry pipeline; Performing dynamic visual recognition on all samples in the centrifugal process interval to obtain liquid state change data of all samples during the centrifugal process; adjusting the action state of the centrifugal process and identifying all samples that meet the expected separation state based on the liquid state change data; performing directional grabbing on all samples that meet the expected separation state, thereby transferring all samples to the detection process interval of the mass spectrometry pipeline; Perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data for all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples.

2. The central control method for an automated mass spectrometry pipeline according to claim 1, characterized in that: Acquiring sample preparation data corresponding to the preparation process section of the mass spectrometry pipeline, analyzing the sample preparation data, and obtaining the conveying state information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline; based on the conveying state information, directionally grabbing all samples that meet the mass spectrometry detection requirements, thereby transferring all samples to the centrifugation process section of the mass spectrometry pipeline, including: Dynamically photograph the preparation process section of the mass spectrometry pipeline to obtain dynamic images of sample injection for all test tubes in the preparation process section; analyze the dynamic images of sample injection to obtain information on sample impurity content and sample injection volume in all test tubes, thereby determining whether the sample in each test tube meets the mass spectrometry detection requirements, and obtaining the conveying position information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline; Based on the conveying position information, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined; and based on the respective weights of all samples that meet the mass spectrometry detection requirements, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the centrifugation process section of the mass spectrometry assembly line.

3. The central control method for an automated mass spectrometry pipeline according to claim 1, characterized in that: The central control method for an automated mass spectrometry pipeline also includes Real-time monitoring of the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline; Comparing the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline with a preset transfer time threshold; When the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline exceeds a preset transfer time threshold, retrieving the sample transfer time in the historical operation record; Obtaining a transfer time variation coefficient according to the sample transfer time in the historical operation record; The transfer duration variation coefficient is obtained by the following formula: Where t represents the coefficient of change of transfer time; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y represents the transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; λ 01 and λ 02 represent the first adjustment coefficient and the second adjustment coefficient respectively, and the first adjustment coefficient is obtained by the following formula: Among them, λ 01 represents the first adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y Indicates the transfer time threshold; T max Indicates the maximum transfer duration corresponding to sample transfer in the historical operation records; And, the second adjustment coefficient is obtained by the following formula: Among them, λ 02 represents the second adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T x Indicates that the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline exceeds the transfer time corresponding to the previous sample transfer corresponding to the preset transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; T i-1 Indicates the transfer time corresponding to the i-1th sample transfer; Comparing the transfer duration variation coefficient with a preset variation coefficient threshold; When the transfer time variation coefficient exceeds a preset variation coefficient threshold, the distance corresponding to the position difference between each two adjacent sample placements in the historical records is retrieved; The sample transfer operation evaluation parameter is obtained by using the distance corresponding to the position difference between two adjacent sample placements and the sample transfer duration corresponding to each sample transfer; The sample transfer duration to obtain the sample transfer operation evaluation parameter is obtained by the following formula: Among them, S represents the sample transfer operation evaluation parameter; t represents the transfer time variation coefficient; m represents the number of position differences between two adjacent sample placements; L i Indicates the specific value of the i-th position difference; L b Indicates the standard deviation value corresponding to m position differences; L y Indicates the preset position difference threshold; L m Indicates the position difference between the sample transfer to the centrifugal process section of the mass spectrometry pipeline and the previous sample transfer corresponding to the transfer time when the transfer time exceeds the preset transfer time threshold; L p represents the average value of the position differences corresponding to the number of transfers of other samples except for the sample whose transfer time to the centrifugal process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; L max Indicates the maximum value of the position difference corresponding to the number of transfers of other samples except for the sample whose transfer time to the centrifugation process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; comparing the sample transfer operation evaluation parameter with a preset evaluation parameter threshold; When the sample transfer operation evaluation parameter exceeds a preset evaluation parameter threshold, it is determined that there is an abnormality in the sample transfer operation process, and a sample transfer abnormality alarm is issued.

4. The central control method for an automated mass spectrometry pipeline according to claim 1, characterized in that: Performing dynamic visual recognition on all samples in the centrifugal process interval to obtain liquid state change data of all samples during the centrifugal process; adjusting the action state of the centrifugal process and identifying all samples that meet the desired separation state based on the liquid state change data; Directed grabbing of all samples that meet the desired separation state, thereby transferring all samples to the detection process interval of the mass spectrometry pipeline, including: Dynamically photograph the centrifugal treatment process of all samples in the centrifugal process interval to obtain dynamic images of sample centrifugation; perform liquid contour recognition on the dynamic images of sample centrifugation to obtain data on the position change of the liquid stratification interface of all samples during the centrifugal treatment process; based on the data on the position change of the liquid stratification interface, adjust the rotation speed of the centrifugal treatment and identify all samples that have undergone stable liquid stratification separation; Based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; and based on the respective weights of all samples that have undergone stable stratification separation, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the detection process interval of the mass spectrometry pipeline.

5. The central control method for an automated mass spectrometry pipeline according to claim 1, characterized in that: Performing differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data of all samples; based on the mass spectrometry detection data, identifying correctly detected samples and incorrectly detected samples; Adjust the mass spectrometry detection operation of the incorrectly detected samples, and collect and organize the mass spectrometry detection data of all correctly detected samples, including: Based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain mass spectrometry detection data of all samples; Noise identification is performed on the mass spectrometry detection data to obtain noise distribution characteristic information of the mass spectrometry detection data; based on the noise distribution characteristic information, correctly detected samples and incorrectly detected samples are identified; and based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected samples is adjusted; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and identified and classified.

6. A central control system for an automated mass spectrometry pipeline, characterized in that: include: A sample preparation monitoring module is used to obtain sample preparation data corresponding to the preparation process interval of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying status information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline; A first sample transfer control module, configured to carry out directional grabbing of all samples that meet the mass spectrometry detection requirements based on the transport state information, thereby transferring all samples to the centrifugation process section of the mass spectrometry pipeline; A sample centrifugation monitoring module is used to perform dynamic visual recognition of all samples in the centrifugation process interval to obtain liquid state change data of all samples during the centrifugation process; based on the liquid state change data, adjust the action state of the centrifugation process and identify all samples that meet the desired separation state; A second sample transfer control module, used for directionally grabbing all samples that meet the desired separation state, so as to transfer all samples to the detection process section of the mass spectrometry pipeline; The mass spectrometry detection control and data processing module is used to perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data for all samples; based on the mass spectrometry detection data, identify correctly detected samples and incorrectly detected samples; adjust the mass spectrometry detection operation of the incorrectly detected samples, and record and organize the mass spectrometry detection data of all correctly detected samples.

7. The central control system for an automated mass spectrometry pipeline according to claim 6, characterized in that: The sample preparation monitoring module is used to obtain sample preparation data corresponding to the preparation process interval of the mass spectrometry pipeline, analyze the sample preparation data, and obtain the conveying status information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline, including: Dynamically photograph the preparation process section of the mass spectrometry pipeline to obtain dynamic images of sample injection for all test tubes in the preparation process section; analyze the dynamic images of sample injection to obtain information on sample impurity content and sample injection volume in all test tubes, thereby determining whether the sample in each test tube meets the mass spectrometry detection requirements, and obtaining the conveying position information of all samples that meet the mass spectrometry detection requirements in the mass spectrometry pipeline; The first sample transfer control module is used to carry out directional grabbing of all samples that meet the mass spectrometry detection requirements based on the conveying state information, so as to transfer all samples to the centrifugation process section of the mass spectrometry pipeline, including: Based on the conveying position information, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry assembly line is determined; and based on the respective weights of all samples that meet the mass spectrometry detection requirements, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the centrifugation process section of the mass spectrometry assembly line.

8. The central control system for an automated mass spectrometry pipeline according to claim 6, characterized in that: The central control system for the automated mass spectrometry pipeline also includes A real-time monitoring module, used for real-time monitoring of the transfer time of the sample to the centrifugation process section of the mass spectrometry pipeline; A first comparison module, configured to compare a transfer time of the sample to a centrifugation process section of the mass spectrometry pipeline with a preset transfer time threshold; A duration information retrieval module, used for retrieving the sample transfer duration in the historical operation record when the transfer duration of the sample to the centrifugation process interval of the mass spectrometry pipeline exceeds a preset transfer duration threshold; A transfer time variation coefficient acquisition module, used to acquire the transfer time variation coefficient according to the sample transfer time in the historical operation record; The transfer duration variation coefficient is obtained by the following formula: Where t represents the coefficient of change of transfer time; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y represents the transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; λ 01 and λ 02 represent the first adjustment coefficient and the second adjustment coefficient respectively, and the first adjustment coefficient is obtained by the following formula: Among them, λ 01 represents the first adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T y Indicates the transfer time threshold; T max Indicates the maximum transfer duration corresponding to sample transfer in the historical operation records; And, the second adjustment coefficient is obtained by the following formula: Among them, λ 02 represents the second adjustment coefficient; T m represents the transfer time value corresponding to when the transfer time of the sample to the centrifugal process section of the mass spectrometry pipeline exceeds the preset transfer time threshold; T x Indicates that the transfer time of the sample to the centrifugal process interval of the mass spectrometry pipeline exceeds the transfer time corresponding to the previous sample transfer corresponding to the preset transfer time threshold; n represents the number of sample transfers in the historical operation record; T i represents the transfer time corresponding to the i-th sample transfer; T i-1 Indicates the transfer time corresponding to the i-1th sample transfer; A second comparison module, used for comparing the transfer duration variation coefficient with a preset variation coefficient threshold; A distance data retrieval module is used to retrieve the distance corresponding to the position difference between each two adjacent sample placements in the historical records when the transfer time variation coefficient exceeds a preset variation coefficient threshold; A sample transfer operation evaluation parameter acquisition module, used to obtain the sample transfer operation evaluation parameter by using the distance corresponding to the position difference between two adjacent sample placements combined with the sample transfer time corresponding to each sample transfer; The sample transfer duration to obtain the sample transfer operation evaluation parameter is obtained by the following formula: Among them, S represents the sample transfer operation evaluation parameter; t represents the transfer time variation coefficient; m represents the number of position differences between two adjacent sample placements; L i Indicates the specific value of the i-th position difference; L b Indicates the standard deviation value corresponding to m position differences; L y Indicates the preset position difference threshold; L m Indicates the position difference between the sample transfer to the centrifugal process section of the mass spectrometry pipeline and the previous sample transfer corresponding to the transfer time when the transfer time exceeds the preset transfer time threshold; L p represents the average value of the position differences corresponding to the number of sample transfers except for the sample whose transfer time to the centrifugal process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; L max Indicates the maximum value of the position difference corresponding to the number of transfers of other samples except for the sample whose transfer time to the centrifugation process interval of the mass spectrometry pipeline exceeds the preset transfer time threshold; A third comparison module, used to compare the sample transfer operation evaluation parameter with a preset evaluation parameter threshold; The abnormality determination and alarm module is used to determine that there is an abnormality in the sample transfer operation process and issue a sample transfer abnormality alarm when the sample transfer operation evaluation parameter exceeds a preset evaluation parameter threshold.

9. The central control system for an automated mass spectrometry pipeline according to claim 6, characterized in that: The sample centrifugation monitoring module is used to perform dynamic visual recognition on all samples in the centrifugation process interval to obtain liquid state change data of all samples during the centrifugation process; Based on the liquid state change data, adjusting the action state of the centrifugal process and identifying all samples that meet the desired separation state, including: Dynamically photograph the centrifugal treatment process of all samples in the centrifugal process interval to obtain dynamic images of sample centrifugation; perform liquid contour recognition on the dynamic images of sample centrifugation to obtain data on the position change of the liquid stratification interface of all samples during the centrifugal treatment process; based on the data on the position change of the liquid stratification interface, adjust the rotation speed of the centrifugal treatment and identify all samples that have undergone stable liquid stratification separation; The second sample transfer control module is used to directionally grab all samples that meet the desired separation state, so as to transfer all samples to the detection process interval of the mass spectrometry pipeline, including: Based on the position information of all samples that have undergone stable liquid stratification separation, the negative pressure adsorption action area of ​​the negative pressure adsorption transfer device corresponding to the mass spectrometry pipeline is determined; and based on the respective weights of all samples that have undergone stable stratification separation, the action parameters of the negative pressure adsorption action area are adjusted to transfer all samples to the detection process interval of the mass spectrometry pipeline.

10. The central control system for an automated mass spectrometry pipeline according to claim 6, characterized in that: The mass spectrometry detection control and data processing module is used to perform differentiated mass spectrometry detection on all samples in the detection process interval to obtain mass spectrometry detection data of all samples; based on the mass spectrometry detection data, identify samples that have been correctly detected and samples that have not been correctly detected; Adjust the mass spectrometry detection operation of the incorrectly detected samples, and collect and organize the mass spectrometry detection data of all correctly detected samples, including: Based on the mass spectrometry detection electric field strength requirements of all samples in the detection process interval, different ionization electric fields are applied to all samples in the detection process interval, so as to perform differentiated mass spectrometry detection on all samples and obtain mass spectrometry detection data of all samples; Noise identification is performed on the mass spectrometry detection data to obtain noise distribution characteristic information of the mass spectrometry detection data; based on the noise distribution characteristic information, correctly detected samples and incorrectly detected samples are identified; and based on the noise distribution characteristic information, the ionization electric field strength applied to the incorrectly detected samples is adjusted; and based on the sample models of all correctly detected samples, the mass spectrometry detection data of all correctly detected samples are recorded and identified and classified.

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