Multi-channel liquid phase management method and system

Abstract

The invention provides a multi-channel liquid phase management method and system, and the method comprises the steps: carrying out two-phase relative motion visual recognition on all channels subordinate to a multi-channel liquid chromatograph, obtaining the substance precipitation characteristic information of each channel, and recognizing the channels completing substance precipitation and the channels not completing substance precipitation; and determining corresponding mobile phase pumping pressure allowable adjustment characteristic information on the basis of respective dynamic pressure data in all the channels with uncompleted substance precipitation, so as to perform mobile phase pumping shunting adjustment on all the channels with uncompleted substance precipitation, so that the channels with uncompleted substance precipitation can obtain efficient mobile phase pumping, and the separation efficiency of the mobile phase is improved. The precipitation speed of internal substances is increased; the chromatographic analysis operation of the corresponding channels is adjusted based on the re-dissolution characteristic information of the precipitated substances of all the channels completing substance precipitation, so that chromatographic analysis is carried out during the effective precipitation period of the substances in the channels, and the efficiency and reliability of multi-channel liquid chromatographic analysis are improved.

Description

Technical Field

[0001] The invention relates to the field of liquid chromatography detection, and in particular to a multi-channel liquid phase management method and system. Background Art

[0002] Liquid chromatography is a method for separating and quantitatively detecting mixed substances, and is widely used in biochemical detection. Liquid chromatography mainly utilizes the difference in the distribution ratio of the mixture between the two immiscible liquids, the mobile phase and the stationary phase, to pump the mobile phase back and forth to the stationary phase, and during the relative motion between the mobile phase and the stationary phase, the different material components in the mixture undergo multiple adsorption-desorption distribution operations, resulting in large differences in the movement speed of the different material components, so that they are separated into individual material components and transported to different columns, and then chromatographic detection is performed using the corresponding chromatographic detection instrument. In actual liquid chromatography detection operations, a large number of samples are usually required to be detected. In order to improve the detection efficiency, a multi-channel liquid phase device is used to simultaneously separate and process multiple samples. However, different samples contain different material components, which makes the sample separation conditions in different channels under the multi-channel liquid phase device different. In order to ensure the sample separation efficiency and speed of all channels under the multi-channel device, it is necessary to match the mobile phase pumping adjustment of different channels, thereby improving the working performance and reliability of the multi-channel device. Summary of the invention

[0003] The object of the present invention is to provide a multi-channel liquid phase management method and system, which performs two-phase relative motion visual recognition on all channels under the multi-channel liquid chromatograph, obtains the material precipitation characteristic information of each channel, thereby identifying the channels for completed material precipitation and the channels for uncompleted material precipitation, so as to facilitate the subsequent centralized linkage mobile phase pumping adjustment of the channels for uncompleted material precipitation; based on the internal dynamic pressure data of all channels for uncompleted material precipitation, the corresponding mobile phase pumping pressure adjustment characteristic information is determined, thereby performing mobile phase pumping diversion adjustment on all channels for uncompleted material precipitation, so that the channels for uncompleted material precipitation can obtain efficient mobile phase pumping and improve the precipitation rate of the internal material; and based on the precipitated material re-dissolution characteristic information of all channels for completed material precipitation, the chromatographic analysis operation of the corresponding channel is adjusted to ensure that the chromatographic analysis is performed during the effective precipitation of the material inside the channel, thereby improving the efficiency and reliability of multi-channel liquid chromatography analysis.

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

[0005] A multi-channel liquid phase management method, comprising:

[0006] Performing visual recognition of two-phase relative motion on all channels of a multi-channel liquid chromatograph to obtain characteristic information of substance precipitation in each of the channels; based on the characteristic information of substance precipitation, identifying channels where substance precipitation has been completed and channels where substance precipitation has not been completed;

[0007] Acquire dynamic pressure data of each channel for unfinished material precipitation, analyze the dynamic pressure data, and determine the characteristic information that allows adjustment of the mobile phase pumping pressure of each channel for unfinished material precipitation; perform mobile phase pumping diversion adjustment operation on all channels for unfinished material precipitation based on the characteristic information that allows adjustment of the mobile phase pumping pressure;

[0008] Dynamic identification of the dissolution of precipitated substances is performed on all channels where precipitation of substances has been completed, and characteristic information of the redissolution of precipitated substances in each of the channels where precipitation of substances has been completed is obtained; based on the characteristic information of the redissolution of precipitated substances, the chromatographic analysis operation status of all channels where precipitation of substances has been completed is adjusted.

[0009] Optionally, performing two-phase relative motion visual recognition on all channels under the multi-channel liquid chromatograph to obtain substance precipitation characteristic information of each of the channels; based on the substance precipitation characteristic information, identifying the channels where substance precipitation is completed and the channels where substance precipitation is not completed, comprises:

[0010] Acquire the relative motion image between the mobile phase and the stationary phase in each of the channels of the multi-channel liquid chromatograph, dynamically identify the relative motion image, and obtain the picture pixel contour feature change information of the relative motion image; based on the picture pixel contour feature change information, obtain the material precipitation rate feature information of each of the channels during the relative motion process between the mobile phase and the stationary phase;

[0011] Based on the characteristic information of the substance precipitation rate, the change in the substance precipitation rate of each channel over time during the relative movement of the mobile phase and the stationary phase is determined to judge whether each channel is in a saturated state of substance precipitation; if so, it is determined that the corresponding channel belongs to a channel that has completed substance precipitation; if not, it is determined that the corresponding channel belongs to a channel that has not completed substance precipitation.

[0012] Optionally, the dynamic pressure data inside each of the channels where the unfinished material precipitation has been completed are obtained, the dynamic pressure data are analyzed, and characteristic information that allows adjustment of the mobile phase pumping pressure of each of the channels where the unfinished material precipitation has been completed is determined; and based on the characteristic information that allows adjustment of the mobile phase pumping pressure, a mobile phase pumping diversion adjustment operation is performed on all the channels where the unfinished material precipitation has been completed, including:

[0013] Perform flow pressure detection inside all channels where unfinished substances have been precipitated, respectively, to obtain mobile phase movement pressure data inside each channel where unfinished substances have been precipitated; analyze the mobile phase movement pressure data to obtain fluid pressure data corresponding to the mobile phase inside each channel where unfinished substances have been precipitated when it moves to different positions inside the channel; and determine information on the allowable increase range of the mobile phase pumping pressure of each channel where unfinished substances have been precipitated based on the fluid pressure data;

[0014] Based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel where the precipitation of unfinished substances has not been completed is determined, so as to record the mobile phase pumping diversion adjustment operation for all channels where the precipitation of unfinished substances has not been completed.

[0015] Optionally, performing dynamic identification of the dissolution of precipitated substances on all channels where the precipitation of substances has been completed, and obtaining characteristic information of the redissolution of precipitated substances on all channels where the precipitation of substances has been completed; and adjusting the chromatographic analysis operation states of all channels where the precipitation of substances has been completed based on the characteristic information of the redissolution of precipitated substances, including:

[0016] Performing dynamic infrared photography on all channels where material precipitation has been completed to obtain dynamic infrared images of all channels where material precipitation has been completed; identifying the dynamic infrared images to obtain infrared absorption rate change data of the channels where material precipitation has been completed; analyzing the absorption rate change data to obtain redissolution rate information of the precipitated material of each channel where material precipitation has been completed;

[0017] Based on the re-dissolution rate information of the precipitated substance, the time length information required for all channels that have completed substance precipitation to be restored to the original substance dissolution state is estimated; based on the time length information, the chromatographic analysis operation sequence for all channels that have completed substance precipitation is adjusted.

[0018] Optionally, after acquiring the dynamic infrared images of all channels where the material precipitation is completed, contrast adjustment is performed on the dynamic infrared images, including:

[0019] Extract dynamic infrared images;

[0020] Retrieving image parameters for the dynamic infrared image to obtain image parameters corresponding to the dynamic infrared image;

[0021] The image parameters include a signal-to-noise ratio, a grayscale value corresponding to a highlight area in the image, and a grayscale value corresponding to a dark area in the image; the highlight area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels exceed a preset first grayscale threshold; the dark area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels are lower than a preset second grayscale threshold;

[0022] Obtaining a first adjustment coefficient using the grayscale values ​​of the pixels included in the highlight area;

[0023] The first adjustment coefficient is obtained by the following formula:

[0024] Among them, S 01 represents the first adjustment coefficient; k represents the number of highlight areas in the dynamic infrared image; H 01zi H represents the central grayscale value of the i-th highlighted area; 01z Indicates the central grayscale value corresponding to the i-th highlighted area; H z Indicates the central gray value of the dynamic infrared image; h i represents the number of pixels spanned between the center point of the i-th highlight area and the center point of the dynamic infrared image; h zi represents the total number of pixels contained in the i-th highlight area; n represents the total number of pixels contained in the highlight area where the maximum grayscale value of the center of the area is located; H 01j represents the gray value corresponding to the jth pixel in the highlighted area where the maximum gray value of the center of the area is located; z represents the standard deviation of the gray values ​​of the center of the k highlighted areas;

[0025] Obtaining a second adjustment coefficient using the grayscale values ​​of the pixels included in the high-dark area;

[0026] The second adjustment coefficient is obtained by the following formula:

[0027] Among them, S 02 represents the second adjustment coefficient; r represents the number of high and dark areas in the dynamic infrared image; H 02zi H represents the central grayscale value of the i-th high-dark area; 02z H represents the central gray value corresponding to the i-th high-dark area; z Indicates the central gray value of the dynamic infrared image; c i represents the number of pixels spanned between the center point of the ith high-dark area and the center point of the dynamic infrared image; c zi represents the total number of pixels contained in the ith dark region; m represents the total number of pixels contained in the dark region where the minimum grayscale value of the center of the region is located; H 02jrepresents the gray value corresponding to the jth pixel in the high-dark area where the minimum gray value of the center of the area is located; s represents the standard deviation of the gray values ​​of the center of the area corresponding to r high-dark areas;

[0028] The contrast of the dynamic infrared image is adjusted by using the first adjustment coefficient and the second adjustment coefficient in combination with the signal-to-noise ratio, wherein the adjusted contrast is obtained by the following formula:

[0029]

[0030] Where D represents the contrast after adjustment; D0 represents the contrast before adjustment; S 01 Represents the first adjustment coefficient; S 02 represents the second adjustment coefficient; B represents the signal-to-noise ratio of the dynamic infrared image; B c Indicates the preset signal-to-noise ratio reference value.

[0031] A multi-channel liquid phase management system, comprising:

[0032] A channel visual recognition module is used to perform visual recognition of the relative motion of two phases on all channels of the multi-channel liquid chromatograph to obtain the material precipitation characteristic information of each of the channels;

[0033] A channel distinguishing module, used for identifying channels where material precipitation is completed and channels where material precipitation is not completed based on the material precipitation characteristic information;

[0034] A mobile phase pumping pressure determination module is used to obtain dynamic pressure data of each channel for all unfinished material precipitation, analyze the dynamic pressure data, and determine the characteristic information that allows adjustment of the mobile phase pumping pressure of each channel for all unfinished material precipitation;

[0035] A mobile phase pumping split flow adjustment module is used to perform a mobile phase pumping split flow adjustment operation on all channels where material precipitation has not been completed based on the characteristic information that the mobile phase pumping pressure allows adjustment;

[0036] A substance dissolution identification module is used to dynamically identify the dissolution of precipitated substances in all channels where substance precipitation has been completed, and obtain the re-dissolution characteristic information of the precipitated substances in all channels where substance precipitation has been completed;

[0037] The chromatographic analysis operation adjustment module is used to adjust the chromatographic analysis operation status of all channels that have completed the precipitation of substances based on the redissolution characteristic information of the precipitated substances.

[0038] Optionally, the channel visual recognition module is used to perform two-phase relative motion visual recognition on all channels under the multi-channel liquid chromatograph to obtain the material precipitation characteristic information of each of the channels, including:

[0039] Acquire the relative motion image between the mobile phase and the stationary phase in each of the channels of the multi-channel liquid chromatograph, dynamically identify the relative motion image, and obtain the picture pixel contour feature change information of the relative motion image; based on the picture pixel contour feature change information, obtain the material precipitation rate feature information of each of the channels during the relative motion process between the mobile phase and the stationary phase;

[0040] The channel distinguishing module is used to identify the channel where the substance precipitation is completed and the channel where the substance precipitation is not completed based on the substance precipitation characteristic information, and includes:

[0041] Based on the characteristic information of the substance precipitation rate, the change in the substance precipitation rate of each channel over time during the relative movement of the mobile phase and the stationary phase is determined to judge whether each channel is in a saturated state of substance precipitation; if so, it is determined that the corresponding channel belongs to a channel that has completed substance precipitation; if not, it is determined that the corresponding channel belongs to a channel that has not completed substance precipitation.

[0042] Optionally, the mobile phase pumping pressure determination module is used to obtain dynamic pressure data inside each channel of all unfinished material precipitation, analyze the dynamic pressure data, and determine the mobile phase pumping pressure adjustment allowable characteristic information of each channel of all unfinished material precipitation, including:

[0043] Perform flow pressure detection inside all channels where unfinished substances have been precipitated, respectively, to obtain mobile phase movement pressure data inside each channel where unfinished substances have been precipitated; analyze the mobile phase movement pressure data to obtain fluid pressure data corresponding to the mobile phase inside each channel where unfinished substances have been precipitated when it moves to different positions inside the channel; and determine information on the allowable increase range of the mobile phase pumping pressure of each channel where unfinished substances have been precipitated based on the fluid pressure data;

[0044] The mobile phase pumping diversion adjustment module is used to perform a mobile phase pumping diversion adjustment operation on all channels where material precipitation has not been completed based on the characteristic information that the mobile phase pumping pressure allows adjustment, including:

[0045] Based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel where the precipitation of unfinished substances has not been completed is determined, so as to record the mobile phase pumping diversion adjustment operation for all channels where the precipitation of unfinished substances has not been completed.

[0046] Optionally, the substance dissolution identification module is used to dynamically identify the dissolution of precipitated substances in all channels where substance precipitation has been completed, and obtain the re-dissolution characteristic information of the precipitated substances in all channels where substance precipitation has been completed, including:

[0047] Performing dynamic infrared photography on all channels where material precipitation has been completed to obtain dynamic infrared images of all channels where material precipitation has been completed; identifying the dynamic infrared images to obtain infrared absorption rate change data of the channels where material precipitation has been completed; analyzing the absorption rate change data to obtain redissolution rate information of the precipitated material of each channel where material precipitation has been completed;

[0048] The chromatographic analysis operation adjustment module is used to adjust the chromatographic analysis operation status of all channels that have completed the precipitation of substances based on the redissolution characteristic information of the precipitated substances, including:

[0049] Based on the re-dissolution rate information of the precipitated substance, the time length information required for all channels that have completed substance precipitation to be restored to the original substance dissolution state is estimated; based on the time length information, the chromatographic analysis operation sequence for all channels that have completed substance precipitation is adjusted.

[0050] Optionally, after acquiring the dynamic infrared images of all channels where the material precipitation is completed, contrast adjustment is performed on the dynamic infrared images, including:

[0051] Extract dynamic infrared images;

[0052] Retrieving image parameters for the dynamic infrared image to obtain image parameters corresponding to the dynamic infrared image;

[0053] The image parameters include a signal-to-noise ratio, a grayscale value corresponding to a highlight area in the image, and a grayscale value corresponding to a dark area in the image; the highlight area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels exceed a preset first grayscale threshold; the dark area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels are lower than a preset second grayscale threshold;

[0054] Obtaining a first adjustment coefficient using the grayscale values ​​of the pixels included in the highlight area;

[0055] The first adjustment coefficient is obtained by the following formula:

[0056] Among them, S 01 represents the first adjustment coefficient; k represents the number of highlight areas in the dynamic infrared image; H 01zi H represents the central grayscale value of the i-th highlighted area; 01z Indicates the central grayscale value corresponding to the i-th highlighted area; H z Indicates the central gray value of the dynamic infrared image; h irepresents the number of pixels spanned between the center point of the i-th highlight area and the center point of the dynamic infrared image; h zi represents the total number of pixels contained in the i-th highlight area; n represents the total number of pixels contained in the highlight area where the maximum grayscale value of the center of the area is located; H 01j represents the gray value corresponding to the jth pixel in the highlighted area where the maximum gray value of the center of the area is located; z represents the standard deviation of the gray values ​​of the center of the k highlighted areas;

[0057] Obtaining a second adjustment coefficient using the grayscale values ​​of the pixels included in the high-dark area;

[0058] The second adjustment coefficient is obtained by the following formula:

[0059] Among them, S 02 represents the second adjustment coefficient; r represents the number of high and dark areas in the dynamic infrared image; H 02zi H represents the central grayscale value of the i-th high-dark area; 02z H represents the central gray value corresponding to the i-th high-dark area; z Indicates the central gray value of the dynamic infrared image; c i represents the number of pixels spanned between the center point of the ith high-dark area and the center point of the dynamic infrared image; c zi represents the total number of pixels contained in the ith dark region; m represents the total number of pixels contained in the dark region where the minimum grayscale value of the center of the region is located; H 02j represents the gray value corresponding to the jth pixel in the high-dark area where the minimum gray value of the center of the area is located; s represents the standard deviation of the gray values ​​of the center of the area corresponding to r high-dark areas;

[0060] The contrast of the dynamic infrared image is adjusted by using the first adjustment coefficient and the second adjustment coefficient in combination with the signal-to-noise ratio, wherein the adjusted contrast is obtained by the following formula:

[0061]

[0062] Where D represents the contrast after adjustment; D0 represents the contrast before adjustment; S 01 Represents the first adjustment coefficient; S 02 represents the second adjustment coefficient; B represents the signal-to-noise ratio of the dynamic infrared image; B c Indicates the preset signal-to-noise ratio reference value.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] The multi-channel liquid phase management method and system provided in the present application perform visual recognition of the relative motion of two phases on all channels under the multi-channel liquid chromatograph to obtain the characteristic information of material precipitation of each channel, thereby identifying the channels where material precipitation has been completed and the channels where material precipitation has not been completed, so as to facilitate the subsequent centralized and linked mobile phase pumping adjustment of the channels where material precipitation has not been completed; based on the internal dynamic pressure data of all channels where material precipitation has not been completed, the corresponding mobile phase pumping pressure adjustment characteristic information is determined to allow adjustment, thereby performing mobile phase pumping diversion adjustment on all channels where material precipitation has not been completed, so that the channels where material precipitation has not been completed can obtain efficient mobile phase pumping and improve the precipitation rate of the material inside them; also based on the characteristic information of the re-dissolution of the precipitated material in all channels where material precipitation has been completed, the chromatographic analysis operation of the corresponding channel is adjusted to ensure that the chromatographic analysis is performed during the effective precipitation of the material inside the channel, thereby improving the efficiency and reliability of multi-channel liquid chromatography analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] 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:

[0066] Figure 1 A schematic flow chart of a multi-channel liquid phase management method provided by the present invention.

[0067] Figure 2 A schematic structural diagram of a multi-channel liquid phase management system provided by the present invention. DETAILED DESCRIPTION

[0068] 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.

[0069] 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.

[0070] 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.

[0071] See also Figure 1 As shown, an embodiment of the present application provides a multi-channel liquid phase management method. The multi-channel liquid phase management method includes:

[0072] Performing visual recognition of two-phase relative motion on all channels of a multi-channel liquid chromatograph to obtain characteristic information of substance precipitation in each of the channels; based on the characteristic information of substance precipitation, identifying channels where substance precipitation has been completed and channels where substance precipitation has not been completed;

[0073] Acquire dynamic pressure data of each channel for unfinished material precipitation, analyze the dynamic pressure data, and determine the characteristic information that allows adjustment of the mobile phase pumping pressure of each channel for unfinished material precipitation; perform mobile phase pumping diversion adjustment operation on all channels for unfinished material precipitation based on the characteristic information that allows adjustment of the mobile phase pumping pressure;

[0074] Dynamic identification of the dissolution of precipitated substances is performed on all channels where precipitation of substances has been completed, and characteristic information of the redissolution of precipitated substances in each of the channels where precipitation of substances has been completed is obtained; based on the characteristic information of the redissolution of precipitated substances, the chromatographic analysis operation status of all channels where precipitation of substances has been completed is adjusted.

[0075] The beneficial effects of the above embodiments are as follows: the multi-channel liquid phase management method performs visual recognition of the relative motion of two phases on all channels under the multi-channel liquid chromatograph to obtain the characteristic information of material precipitation of each channel, thereby identifying the channels for completed material precipitation and the channels for uncompleted material precipitation, so as to facilitate the subsequent centralized and linked mobile phase pumping adjustment of the channels for uncompleted material precipitation; based on the internal dynamic pressure data of all channels for uncompleted material precipitation, the corresponding mobile phase pumping pressure adjustment characteristic information is determined, so as to perform mobile phase pumping diversion adjustment on all channels for uncompleted material precipitation, so that the channels for uncompleted material precipitation can obtain efficient mobile phase pumping and improve the precipitation rate of the material inside them; and based on the re-dissolution characteristic information of the precipitated material of all channels for completed material precipitation, the chromatographic analysis operation of the corresponding channel is adjusted to ensure that the chromatographic analysis is performed during the effective precipitation of the material inside the channel, thereby improving the efficiency and reliability of multi-channel liquid chromatography analysis.

[0076] In another embodiment, visual recognition of relative motion of two phases is performed on all channels of a multi-channel liquid chromatograph to obtain characteristic information of substance precipitation of each of the channels; based on the characteristic information of substance precipitation, channels where substance precipitation has been completed and channels where substance precipitation has not been completed are identified, including:

[0077] Obtaining the relative motion image between the mobile phase and the stationary phase in each of the channels of the multi-channel liquid chromatograph, dynamically identifying the relative motion image, and obtaining the image pixel profile feature change information of the relative motion image; based on the image pixel profile feature change information, obtaining the material precipitation rate feature information of each of the channels during the relative motion process between the mobile phase and the stationary phase;

[0078] Based on the characteristic information of the substance precipitation rate, the change in the substance precipitation rate of each channel over time during the relative movement of the mobile phase and the stationary phase is determined to judge whether each channel is in a saturated state of substance precipitation; if so, it is determined that the corresponding channel is a channel that has completed substance precipitation; if not, it is determined that the corresponding channel is a channel that has not completed substance precipitation.

[0079] The beneficial effects of the above embodiments are that the multi-channel liquid chromatograph comprises a plurality of channels, each channel can independently perform liquid phase separation operation, that is, each channel contains a stationary phase, and the multi-channel liquid chromatograph repeatedly pumps the mobile phase to each channel through a mobile phase delivery pump, thereby realizing liquid phase separation in each channel; and a solenoid valve is connected between the mobile phase delivery pump and each channel, and the pumping pressure of the mobile phase delivery pump to each channel can be changed by adjusting the solenoid valve, thereby independently adjusting the liquid phase separation efficiency in each channel. The material composition of the mixture that needs to be liquid-phase separated in each channel of the multi-channel liquid chromatograph is not the same, so that the liquid phase separation speed in different channels is not the same, that is, some channels can quickly complete the liquid phase separation of the mixed substances in themselves, while other channels need a longer time to complete the liquid phase separation of the mixed substances in themselves. In order to accurately distinguish the liquid phase separation conditions of different channels, the relative motion image between the mobile phase and the stationary phase in all channels of the multi-channel liquid chromatograph is obtained, and the relative motion image is dynamically recognized to obtain the picture pixel contour feature change information of the relative motion image. The picture pixel contour feature change information may include the material volume contour feature change information inside the monomer material containing column corresponding to the channel. The picture pixel contour feature change information is then analyzed in the time domain to obtain the material precipitation rate feature information (i.e., the material precipitation volume information per unit time) of all channels during the relative motion between the mobile phase and the stationary phase. Furthermore, a time domain analysis is performed on the characteristic information of the precipitation rate of the substance to obtain the change in the magnitude of the precipitation rate of the substance in each channel during the relative movement of the mobile phase and the stationary phase over time. If the change in magnitude indicates that the precipitation rate of the substance in the channel during the relative movement of the mobile phase and the stationary phase gradually decreases over time, then it is determined that the channel is in a saturated state for substance precipitation; otherwise, it is determined that the channel is not in a saturated state for substance precipitation, thereby accurately distinguishing multiple channels under the multi-channel liquid chromatograph into channels for which substance precipitation has been completed and channels for which substance precipitation has not been completed, providing a basis for subsequent targeted adjustment of the liquid phase separation operation of the channels for which substance precipitation has not been completed.

[0080] In another embodiment, the dynamic pressure data of each channel where the unfinished material is precipitated is obtained, the dynamic pressure data is analyzed, and the characteristic information that the mobile phase pumping pressure of each channel where the unfinished material is precipitated is determined; based on the characteristic information that the mobile phase pumping pressure allows adjustment, the mobile phase pumping diversion adjustment operation is performed on all channels where the unfinished material is precipitated, including:

[0081] Perform flow pressure detection inside all channels where unfinished substances have been precipitated, respectively, to obtain mobile phase movement pressure data inside each channel where unfinished substances have been precipitated; analyze the mobile phase movement pressure data to obtain fluid pressure data corresponding to the mobile phase inside each channel where unfinished substances have been precipitated when it moves to different positions inside the channel; and determine information on the allowable increase range of the mobile phase pumping pressure of each channel where unfinished substances have been precipitated based on the fluid pressure data;

[0082] Based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel where the precipitation of unfinished substances is carried out is determined, so as to record the mobile phase pumping diversion adjustment operation for all channels where the precipitation of unfinished substances is carried out.

[0083] The beneficial effect of the above embodiment is that the pressure generated by the mobile phase in the channel during the movement will affect the material precipitation efficiency in the channel. In order to accurately adjust the material precipitation speed in the channel where the precipitation of unfinished substances is completed, the flow pressure inside all the channels where the precipitation of unfinished substances is respectively detected to obtain the mobile phase movement pressure data in each of the channels where the precipitation of unfinished substances is completed, and the mobile phase movement pressure data is analyzed to obtain the fluid pressure data corresponding to the mobile phase in each channel where the precipitation of unfinished substances is completed when it moves to different positions in the channel. The fluid pressure data can characterize the adsorption-desorption distribution effect of the mobile phase on the substance during the reciprocating motion of the mobile phase in the channel. By analyzing the fluid pressure data, the allowable increase range information of the mobile phase pumping pressure of each channel where the precipitation of unfinished substances is completed is determined, thereby providing a numerical range basis for the subsequent adjustment of the mobile phase pumping diversion adjustment of the channel where the precipitation of unfinished substances is completed. In addition, based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel for the precipitation of unfinished substances is determined (that is, the pumping pressure distribution value obtained from the mobile phase pumping in the process of increasing the mobile phase pumping pressure for each channel for the precipitation of unfinished substances), thereby recording the mobile phase pumping diversion adjustment operation for all channels for the precipitation of unfinished substances, thereby improving the liquid phase separation efficiency of the channels for the precipitation of unfinished substances.

[0084] In another embodiment, dynamic identification of the dissolution of precipitated substances is performed on all channels where the precipitation of substances is completed, and characteristic information of the redissolution of precipitated substances in each of the channels where the precipitation of substances is completed is obtained; and based on the characteristic information of the redissolution of precipitated substances, the chromatographic analysis operation state of all channels where the precipitation of substances is completed is adjusted, including:

[0085] Performing dynamic infrared photography on all channels where material precipitation has been completed, respectively, to obtain dynamic infrared images of all channels where material precipitation has been completed; identifying the dynamic infrared images, to obtain infrared absorption rate change data of the channels where material precipitation has been completed; analyzing the absorption rate change data, to obtain the re-dissolution rate information of the precipitated material of each channel where material precipitation has been completed;

[0086] Based on the redissolution rate information of the precipitated substance, the time length information required for all channels that have completed substance precipitation to be restored to the original substance dissolution state is estimated; based on the time length information, the chromatographic analysis operation sequence for all channels that have completed substance precipitation is adjusted.

[0087] The beneficial effect of the above embodiment is that the material that has been precipitated inside the channel will be redissolved after the reciprocating pumping of the mobile phase is stopped. As the redissolution of the precipitated material continues to increase, the absorption rate of infrared rays inside the channel also continues to increase. In order to determine whether most of the material that has been precipitated inside the channel has been redissolved and cannot ensure subsequent effective chromatographic detection, dynamic infrared photography is performed on all channels where the material has been precipitated, and dynamic infrared images of all channels where the material has been precipitated are obtained; the dynamic infrared image is identified to obtain the absorption rate change data of the channel where the material has been precipitated to infrared rays, so as to obtain the redissolution rate information of the precipitated material in each channel where the material has been precipitated. If the redissolution rate of the precipitated material is greater, it indicates that the same channel is suitable for chromatographic analysis detection. The shorter the maintenance time, the corresponding channel should be preferentially subjected to chromatographic analysis detection. In addition, based on the redissolution rate information of the precipitated material, the time length information required for each channel where the material has been precipitated to be restored to the original material dissolution state is estimated, so as to adjust the chromatographic analysis operation sequence of all channels where the material has been precipitated, thereby ensuring that all channels where the material has been precipitated can obtain reliable chromatographic analysis detection.

[0088] In another embodiment, after acquiring the dynamic infrared images of all channels where the material precipitation is completed, contrast adjustment is performed on the dynamic infrared images, including:

[0089] Extract dynamic infrared images;

[0090] Retrieving image parameters for the dynamic infrared image to obtain image parameters corresponding to the dynamic infrared image;

[0091] The image parameters include a signal-to-noise ratio, a grayscale value corresponding to a highlight area in the image, and a grayscale value corresponding to a dark area in the image; the highlight area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels exceed a preset first grayscale threshold; the dark area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels are lower than a preset second grayscale threshold;

[0092] Obtaining a first adjustment coefficient using the grayscale values ​​of the pixels included in the highlight area;

[0093] The first adjustment coefficient is obtained by the following formula:

[0094] Among them, S 01 represents the first adjustment coefficient; k represents the number of highlight areas in the dynamic infrared image; H 01zi H represents the central grayscale value of the i-th highlighted area; 01z Indicates the central grayscale value corresponding to the i-th highlighted area; H z Indicates the central gray value of the dynamic infrared image; h i represents the number of pixels spanned between the center point of the i-th highlight area and the center point of the dynamic infrared image; h zi represents the total number of pixels contained in the i-th highlight area; n represents the total number of pixels contained in the highlight area where the maximum grayscale value of the center of the area is located; H 01j represents the gray value corresponding to the jth pixel in the highlighted area where the maximum gray value of the center of the area is located; z represents the standard deviation of the gray values ​​of the center of the k highlighted areas;

[0095] Obtaining a second adjustment coefficient using the grayscale values ​​of the pixels included in the high-dark area;

[0096] The second adjustment coefficient is obtained by the following formula:

[0097] Among them, S 02 represents the second adjustment coefficient; r represents the number of high and dark areas in the dynamic infrared image; H 02zi H represents the central grayscale value of the i-th high-dark area; 02z H represents the central gray value corresponding to the i-th high-dark area; z Indicates the central gray value of the dynamic infrared image; c i represents the number of pixels spanned between the center point of the ith high-dark area and the center point of the dynamic infrared image; c zi represents the total number of pixels contained in the ith dark region; m represents the total number of pixels contained in the dark region where the minimum grayscale value of the center of the region is located; H 02j represents the gray value corresponding to the jth pixel in the high-dark area where the minimum gray value of the center of the area is located; s represents the standard deviation of the gray values ​​of the center of the area corresponding to r high-dark areas;

[0098] The contrast of the dynamic infrared image is adjusted by using the first adjustment coefficient and the second adjustment coefficient in combination with the signal-to-noise ratio, wherein the adjusted contrast is obtained by the following formula:

[0099]

[0100] Where D represents the contrast after adjustment; D0 represents the contrast before adjustment; S 01 Represents the first adjustment coefficient; S 02 represents the second adjustment coefficient; B represents the signal-to-noise ratio of the dynamic infrared image; B c Indicates the preset signal-to-noise ratio reference value.

[0101] The beneficial effect of the above embodiment is that by calculating the first adjustment coefficient (S01) and the second adjustment coefficient (S02) of the highlight area and the high dark area respectively, the technical solution can more accurately adjust the contrast of the dynamic infrared image. This refined adjustment not only takes into account the gray value distribution of the highlight and high dark areas, but also takes into account the relative position of these areas with the center point of the image and the number of pixels in the area, thereby improving the accuracy of the contrast adjustment. The technical solution uses the image parameters of the dynamic infrared image itself (such as signal-to-noise ratio, gray values ​​of highlight and high dark areas, etc.) to calculate the adjustment coefficient, so it has strong adaptability. Regardless of how the brightness distribution of the image changes, the solution can automatically adjust the contrast according to these parameters, so that the adjusted image is clearer and easier to observe. Through contrast adjustment, the technical solution can improve the visual effect of the dynamic infrared image, make the details in the image more prominent, and be easy to identify and analyze. This is of great significance for the monitoring and analysis of the material precipitation process, and can improve the accuracy and efficiency of the analysis. A preset signal-to-noise ratio reference value (Bc) is introduced in the technical solution for comparison with the signal-to-noise ratio (B) of the dynamic infrared image. This normalization process helps ensure stability and consistency in contrast adjustment, making contrast adjustment results comparable between different images.

[0102] In summary, this technical solution effectively improves the visual effect and analyzability of dynamic infrared images through refined and adaptive contrast adjustment, providing strong technical support for the monitoring and analysis of material precipitation processes.

[0103] See also Figure 2 As shown, an embodiment of the present application provides a multi-channel liquid phase management system. The multi-channel liquid phase management system includes:

[0104] A channel visual recognition module is used to perform visual recognition of the relative motion of two phases on all channels of a multi-channel liquid chromatograph to obtain the material precipitation characteristic information of all channels;

[0105] A channel distinguishing module, used for identifying a channel where the precipitation of the substance is completed and a channel where the precipitation of the substance is not completed based on the characteristic information of the precipitation of the substance;

[0106] A mobile phase pumping pressure determination module is used to obtain dynamic pressure data of each channel for all unfinished material precipitation, analyze the dynamic pressure data, and determine the characteristic information that allows adjustment of the mobile phase pumping pressure of each channel for all unfinished material precipitation;

[0107] A mobile phase pumping split flow adjustment module is used to perform a mobile phase pumping split flow adjustment operation on all channels where material precipitation has not been completed based on characteristic information that allows adjustment of the mobile phase's current pumping pressure;

[0108] A substance dissolution identification module is used to dynamically identify the dissolution of precipitated substances in all channels where substance precipitation has been completed, and obtain the re-dissolution characteristic information of the precipitated substances in all channels where substance precipitation has been completed;

[0109] The chromatographic analysis operation adjustment module is used to adjust the chromatographic analysis operation status of all channels that have completed the precipitation of substances based on the redissolution characteristic information of the precipitated substances.

[0110] The beneficial effects of the above embodiments are as follows: the multi-channel liquid phase management system performs visual recognition of the relative motion of two phases on all channels under the multi-channel liquid chromatograph to obtain the characteristic information of material precipitation of each channel, thereby identifying the channels for completed material precipitation and the channels for uncompleted material precipitation, so as to facilitate the subsequent centralized and linked mobile phase pumping adjustment of the channels for uncompleted material precipitation; based on the internal dynamic pressure data of all channels for uncompleted material precipitation, the corresponding mobile phase pumping pressure adjustment characteristic information is determined to allow adjustment, so as to perform mobile phase pumping diversion adjustment on all channels for uncompleted material precipitation, so that the channels for uncompleted material precipitation can obtain efficient mobile phase pumping and improve the precipitation rate of the material inside them; and based on the re-dissolution characteristic information of the precipitated material of all channels for completed material precipitation, the chromatographic analysis operation of the corresponding channel is adjusted to ensure that the chromatographic analysis is performed during the effective precipitation of the material inside the channel, thereby improving the efficiency and reliability of multi-channel liquid chromatography analysis.

[0111] In another embodiment, the channel visual recognition module is used to perform two-phase relative motion visual recognition on all channels under the multi-channel liquid chromatograph to obtain the material precipitation characteristic information of all channels, including:

[0112] Obtaining the relative motion image between the mobile phase and the stationary phase in each of the channels of the multi-channel liquid chromatograph, dynamically identifying the relative motion image, and obtaining the image pixel profile feature change information of the relative motion image; based on the image pixel profile feature change information, obtaining the material precipitation rate feature information of each of the channels during the relative motion process between the mobile phase and the stationary phase;

[0113] The channel distinguishing module is used to identify the channel where the substance precipitation is completed and the channel where the substance precipitation is not completed based on the substance precipitation characteristic information, including:

[0114] Based on the characteristic information of the substance precipitation rate, the change in the substance precipitation rate of each channel over time during the relative movement of the mobile phase and the stationary phase is determined to judge whether each channel is in a saturated state of substance precipitation; if so, it is determined that the corresponding channel is a channel that has completed substance precipitation; if not, it is determined that the corresponding channel is a channel that has not completed substance precipitation.

[0115] The beneficial effects of the above embodiments are that the multi-channel liquid chromatograph comprises a plurality of channels, each channel can independently perform liquid phase separation operation, that is, each channel contains a stationary phase, and the multi-channel liquid chromatograph repeatedly pumps the mobile phase to each channel through a mobile phase delivery pump, thereby realizing liquid phase separation in each channel; and a solenoid valve is connected between the mobile phase delivery pump and each channel, and the pumping pressure of the mobile phase delivery pump to each channel can be changed by adjusting the solenoid valve, thereby independently adjusting the liquid phase separation efficiency in each channel. The material composition of the mixture that needs to be liquid-phase separated in each channel of the multi-channel liquid chromatograph is not the same, so that the liquid phase separation speed in different channels is not the same, that is, some channels can quickly complete the liquid phase separation of the mixed substances in themselves, while other channels need a longer time to complete the liquid phase separation of the mixed substances in themselves. In order to accurately distinguish the liquid phase separation conditions of different channels, the relative motion image between the mobile phase and the stationary phase in all channels of the multi-channel liquid chromatograph is obtained, and the relative motion image is dynamically recognized to obtain the picture pixel contour feature change information of the relative motion image. The picture pixel contour feature change information may include the material volume contour feature change information inside the monomer material containing column corresponding to the channel. The picture pixel contour feature change information is then analyzed in the time domain to obtain the material precipitation rate feature information (i.e., the material precipitation volume information per unit time) of all channels during the relative motion between the mobile phase and the stationary phase. Furthermore, a time domain analysis is performed on the characteristic information of the precipitation rate of the substance to obtain the change in the magnitude of the precipitation rate of the substance in each channel during the relative movement of the mobile phase and the stationary phase over time. If the change in magnitude indicates that the precipitation rate of the substance in the channel during the relative movement of the mobile phase and the stationary phase gradually decreases over time, then it is determined that the channel is in a saturated state for substance precipitation; otherwise, it is determined that the channel is not in a saturated state for substance precipitation, thereby accurately distinguishing multiple channels under the multi-channel liquid chromatograph into channels for which substance precipitation has been completed and channels for which substance precipitation has not been completed, providing a basis for subsequent targeted adjustment of the liquid phase separation operation of the channels for which substance precipitation has not been completed.

[0116] In another embodiment, the mobile phase pumping pressure determination module is used to obtain dynamic pressure data of each channel in which the material precipitation is not completed, analyze the dynamic pressure data, and determine the mobile phase pumping pressure of each channel in which the material precipitation is not completed. The pressure adjustment feature information includes:

[0117] Perform flow pressure detection inside all channels where unfinished substances have been precipitated, respectively, to obtain mobile phase movement pressure data inside each channel where unfinished substances have been precipitated; analyze the mobile phase movement pressure data to obtain fluid pressure data corresponding to the mobile phase inside each channel where unfinished substances have been precipitated when it moves to different positions inside the channel; and determine information on the allowable increase range of the mobile phase pumping pressure of each channel where unfinished substances have been precipitated based on the fluid pressure data;

[0118] The mobile phase pumping split adjustment module is used to perform a mobile phase pumping split adjustment operation on all channels where material precipitation has not been completed based on the characteristic information that the pumping pressure of the mobile phase allows adjustment, including:

[0119] Based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel where the precipitation of unfinished substances is carried out is determined, so as to record the mobile phase pumping diversion adjustment operation for all channels where the precipitation of unfinished substances is carried out.

[0120] The beneficial effect of the above embodiment is that the pressure generated by the mobile phase in the channel during the movement will affect the material precipitation efficiency in the channel. In order to accurately adjust the material precipitation speed in the channel where the precipitation of unfinished substances is completed, the flow pressure inside all the channels where the precipitation of unfinished substances is respectively detected to obtain the mobile phase movement pressure data in each of the channels where the precipitation of unfinished substances is completed, and the mobile phase movement pressure data is analyzed to obtain the fluid pressure data corresponding to the mobile phase in each channel where the precipitation of unfinished substances is completed when it moves to different positions in the channel. The fluid pressure data can characterize the adsorption-desorption distribution effect of the mobile phase on the substance during the reciprocating motion of the mobile phase in the channel. By analyzing the fluid pressure data, the allowable increase range information of the mobile phase pumping pressure of each channel where the precipitation of unfinished substances is completed is determined, thereby providing a numerical range basis for the subsequent adjustment of the mobile phase pumping diversion adjustment of the channel where the precipitation of unfinished substances is completed. In addition, based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel for the precipitation of unfinished substances is determined (that is, the pumping pressure distribution value obtained from the mobile phase pumping in the process of increasing the mobile phase pumping pressure for each channel for the precipitation of unfinished substances), thereby recording the mobile phase pumping diversion adjustment operation for all channels for the precipitation of unfinished substances, thereby improving the liquid phase separation efficiency of the channels for the precipitation of unfinished substances.

[0121] In another embodiment, the substance dissolution identification module is used to dynamically identify the dissolution of precipitated substances in all channels where substance precipitation has been completed, and obtain the re-dissolution characteristic information of the precipitated substances in all channels where substance precipitation has been completed, including:

[0122] Performing dynamic infrared photography on all channels where material precipitation has been completed, respectively, to obtain dynamic infrared images of all channels where material precipitation has been completed; identifying the dynamic infrared images, to obtain infrared absorption rate change data of the channels where material precipitation has been completed; analyzing the absorption rate change data, to obtain the re-dissolution rate information of the precipitated material of each channel where material precipitation has been completed;

[0123] The chromatographic analysis operation adjustment module is used to adjust the chromatographic analysis operation status of all channels that have completed the precipitation of substances based on the redissolution characteristic information of the precipitated substances, including:

[0124] Based on the redissolution rate information of the precipitated substance, the time length information required for all channels that have completed substance precipitation to be restored to the original substance dissolution state is estimated; based on the time length information, the chromatographic analysis operation sequence for all channels that have completed substance precipitation is adjusted.

[0125] The beneficial effect of the above embodiment is that the material that has been precipitated inside the channel will be redissolved after the reciprocating pumping of the mobile phase is stopped. As the redissolution of the precipitated material continues to increase, the absorption rate of infrared rays inside the channel also continues to increase. In order to determine whether most of the material that has been precipitated inside the channel has been redissolved and cannot ensure subsequent effective chromatographic detection, dynamic infrared photography is performed on all channels where the material has been precipitated, and dynamic infrared images of all channels where the material has been precipitated are obtained; the dynamic infrared image is identified to obtain the absorption rate change data of the channel where the material has been precipitated to infrared rays, so as to obtain the redissolution rate information of the precipitated material in each channel where the material has been precipitated. If the redissolution rate of the precipitated material is greater, it indicates that the same channel is suitable for chromatographic analysis detection. The shorter the maintenance time, the corresponding channel should be preferentially subjected to chromatographic analysis detection. In addition, based on the redissolution rate information of the precipitated material, the time length information required for each channel where the material has been precipitated to be restored to the original material dissolution state is estimated, so as to adjust the chromatographic analysis operation sequence of all channels where the material has been precipitated, thereby ensuring that all channels where the material has been precipitated can obtain reliable chromatographic analysis detection.

[0126] In another embodiment, after acquiring the dynamic infrared images of all channels where the material precipitation is completed, contrast adjustment is performed on the dynamic infrared images, including:

[0127] Extract dynamic infrared images;

[0128] Retrieving image parameters for the dynamic infrared image to obtain image parameters corresponding to the dynamic infrared image;

[0129] The image parameters include a signal-to-noise ratio, a grayscale value corresponding to a highlight area in the image, and a grayscale value corresponding to a dark area in the image; the highlight area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels exceed a preset first grayscale threshold; the dark area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels are lower than a preset second grayscale threshold;

[0130] Obtaining a first adjustment coefficient using the grayscale values ​​of the pixels included in the highlight area;

[0131] The first adjustment coefficient is obtained by the following formula:

[0132] Among them, S 01 represents the first adjustment coefficient; k represents the number of highlight areas in the dynamic infrared image; H 01zi H represents the central grayscale value of the i-th highlighted area; 01z Indicates the central grayscale value corresponding to the i-th highlighted area; H z Indicates the central gray value of the dynamic infrared image; h i represents the number of pixels spanned between the center point of the i-th highlight area and the center point of the dynamic infrared image; h zi represents the total number of pixels contained in the i-th highlight area; n represents the total number of pixels contained in the highlight area where the maximum grayscale value of the center of the area is located; H 01j represents the gray value corresponding to the jth pixel in the highlighted area where the maximum gray value of the center of the area is located; z represents the standard deviation of the gray values ​​of the center of the k highlighted areas;

[0133] Obtaining a second adjustment coefficient using the grayscale values ​​of the pixels included in the high-dark area;

[0134] The second adjustment coefficient is obtained by the following formula:

[0135] Among them, S 02 represents the second adjustment coefficient; r represents the number of high and dark areas in the dynamic infrared image; H 02zi H represents the central grayscale value of the i-th high-dark area; 02z H represents the central gray value corresponding to the i-th high-dark area; z Indicates the central gray value of the dynamic infrared image; c i represents the number of pixels spanned between the center point of the ith high-dark area and the center point of the dynamic infrared image; c zi represents the total number of pixels contained in the ith dark region; m represents the total number of pixels contained in the dark region where the minimum grayscale value of the center of the region is located; H 02jrepresents the gray value corresponding to the jth pixel in the high-dark area where the minimum gray value of the center of the area is located; s represents the standard deviation of the gray values ​​of the center of the area corresponding to r high-dark areas;

[0136] The contrast of the dynamic infrared image is adjusted by using the first adjustment coefficient and the second adjustment coefficient in combination with the signal-to-noise ratio, wherein the adjusted contrast is obtained by the following formula:

[0137]

[0138] Where D represents the contrast after adjustment; D0 represents the contrast before adjustment; S 01 Represents the first adjustment coefficient; S 02 represents the second adjustment coefficient; B represents the signal-to-noise ratio of the dynamic infrared image; B c Indicates the preset signal-to-noise ratio reference value.

[0139] The beneficial effect of the above embodiment is that by calculating the first adjustment coefficient (S01) and the second adjustment coefficient (S02) of the highlight area and the high dark area respectively, the technical solution can more accurately adjust the contrast of the dynamic infrared image. This refined adjustment not only takes into account the gray value distribution of the highlight and high dark areas, but also takes into account the relative position of these areas with the center point of the image and the number of pixels in the area, thereby improving the accuracy of the contrast adjustment. The technical solution uses the image parameters of the dynamic infrared image itself (such as signal-to-noise ratio, gray values ​​of highlight and high dark areas, etc.) to calculate the adjustment coefficient, so it has strong adaptability. Regardless of how the brightness distribution of the image changes, the solution can automatically adjust the contrast according to these parameters, so that the adjusted image is clearer and easier to observe. Through contrast adjustment, the technical solution can improve the visual effect of the dynamic infrared image, make the details in the image more prominent, and be easy to identify and analyze. This is of great significance for the monitoring and analysis of the material precipitation process, and can improve the accuracy and efficiency of the analysis. A preset signal-to-noise ratio reference value (Bc) is introduced in the technical solution for comparison with the signal-to-noise ratio (B) of the dynamic infrared image. This normalization process helps ensure stability and consistency in contrast adjustment, making contrast adjustment results comparable between different images.

[0140] In summary, this technical solution effectively improves the visual effect and analyzability of dynamic infrared images through refined and adaptive contrast adjustment, providing strong technical support for the monitoring and analysis of material precipitation processes.

[0141] In general, the multi-channel liquid phase management method and system perform visual recognition of the relative motion of two phases on all channels under the multi-channel liquid chromatograph to obtain the characteristic information of material precipitation of each channel, thereby identifying the channels for completed material precipitation and the channels for uncompleted material precipitation, so as to facilitate the subsequent centralized and linked mobile phase pumping adjustment of the channels for uncompleted material precipitation; based on the internal dynamic pressure data of all channels for uncompleted material precipitation, the corresponding mobile phase pumping pressure adjustment characteristic information is determined to perform mobile phase pumping diversion adjustment on all channels for uncompleted material precipitation, so that the channels for uncompleted material precipitation can obtain efficient mobile phase pumping and improve the precipitation rate of the material inside them; based on the re-dissolution characteristic information of the precipitated material of all channels for completed material precipitation, the chromatographic analysis operation of the corresponding channel is adjusted to ensure that the chromatographic analysis is performed during the effective precipitation of the material inside the channel, thereby improving the efficiency and reliability of multi-channel liquid chromatography analysis.

[0142] 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 multi-channel liquid phase management method, characterized in that: include: Performing visual recognition of two-phase relative motion on all channels of a multi-channel liquid chromatograph to obtain characteristic information of substance precipitation in each of the channels; based on the characteristic information of substance precipitation, identifying channels where substance precipitation has been completed and channels where substance precipitation has not been completed; Acquire dynamic pressure data of each channel for unfinished material precipitation, analyze the dynamic pressure data, and determine the characteristic information that allows adjustment of the mobile phase pumping pressure of each channel for unfinished material precipitation; perform mobile phase pumping diversion adjustment operation on all channels for unfinished material precipitation based on the characteristic information that allows adjustment of the mobile phase pumping pressure; Dynamic identification of the dissolution of precipitated substances is performed on all channels where precipitation of substances has been completed, and characteristic information of the redissolution of precipitated substances in each of the channels where precipitation of substances has been completed is obtained; based on the characteristic information of the redissolution of precipitated substances, the chromatographic analysis operation status of all channels where precipitation of substances has been completed is adjusted.

2. The multi-channel liquid phase management method according to claim 1, characterized in that: Performing two-phase relative motion visual recognition on all channels of a multi-channel liquid chromatograph to obtain material precipitation characteristic information of each of the channels; based on the material precipitation characteristic information, identifying channels where material precipitation has been completed and channels where material precipitation has not been completed, including: Acquire the relative motion image between the mobile phase and the stationary phase in each of the channels of the multi-channel liquid chromatograph, dynamically identify the relative motion image, and obtain the picture pixel contour feature change information of the relative motion image; based on the picture pixel contour feature change information, obtain the material precipitation rate feature information of each of the channels during the relative motion process between the mobile phase and the stationary phase; Based on the characteristic information of the substance precipitation rate, the change in the substance precipitation rate of each channel over time during the relative movement of the mobile phase and the stationary phase is determined to judge whether each channel is in a saturated state of substance precipitation; if so, it is determined that the corresponding channel belongs to a channel that has completed substance precipitation; if not, it is determined that the corresponding channel belongs to a channel that has not completed substance precipitation.

3. The multi-channel liquid phase management method according to claim 1, characterized in that: Acquire dynamic pressure data of each channel for the unfinished material precipitation, analyze the dynamic pressure data, and determine the characteristic information that allows adjustment of the mobile phase pumping pressure of each channel for the unfinished material precipitation; Based on the characteristic information that the pumping pressure of the mobile phase allows adjustment, a mobile phase pumping diversion adjustment operation is performed on all channels where the precipitation of substances has not been completed, including: Perform flow pressure detection inside all channels where unfinished substances have been precipitated, respectively, to obtain mobile phase movement pressure data inside each channel where unfinished substances have been precipitated; analyze the mobile phase movement pressure data to obtain fluid pressure data corresponding to the mobile phase inside each channel where unfinished substances have been precipitated when it moves to different positions inside the channel; and determine information on the allowable increase range of the mobile phase pumping pressure of each channel where unfinished substances have been precipitated based on the fluid pressure data; Based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel where the precipitation of unfinished substances has not been completed is determined, so as to record the mobile phase pumping diversion adjustment operation for all channels where the precipitation of unfinished substances has not been completed.

4. The multi-channel liquid phase management method according to claim 1, characterized in that: Dynamically identify the dissolution of precipitated substances in all channels where the precipitation of substances has been completed, and obtain the re-dissolution characteristic information of the precipitated substances in all channels where the precipitation of substances has been completed; Based on the re-dissolution characteristic information of the precipitated substance, adjusting the chromatographic analysis operation status of all channels that have completed the precipitation of the substance, including: Performing dynamic infrared photography on all channels where material precipitation has been completed to obtain dynamic infrared images of all channels where material precipitation has been completed; identifying the dynamic infrared images to obtain infrared absorption rate change data of the channels where material precipitation has been completed; analyzing the absorption rate change data to obtain redissolution rate information of the precipitated material of each channel where material precipitation has been completed; Based on the re-dissolution rate information of the precipitated substance, the time length information required for all channels that have completed substance precipitation to be restored to the original substance dissolution state is estimated; based on the time length information, the chromatographic analysis operation sequence for all channels that have completed substance precipitation is adjusted.

5. The multi-channel liquid phase management method according to claim 4, characterized in that: After acquiring the dynamic infrared images of all channels where material precipitation has been completed, contrast adjustment is performed on the dynamic infrared images, including: Extract dynamic infrared images; Retrieving image parameters for the dynamic infrared image to obtain image parameters corresponding to the dynamic infrared image; The image parameters include a signal-to-noise ratio, a grayscale value corresponding to a highlight area in the image, and a grayscale value corresponding to a dark area in the image; the highlight area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels exceed a preset first grayscale threshold; the dark area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels are lower than a preset second grayscale threshold; Obtaining a first adjustment coefficient using the grayscale values ​​of the pixels included in the highlight area; The first adjustment coefficient is obtained by the following formula: Among them, S 01 represents the first adjustment coefficient; k represents the number of highlight areas in the dynamic infrared image; H 01zi H represents the central grayscale value of the i-th highlighted area; 01z Indicates the central grayscale value corresponding to the i-th highlighted area; H z Indicates the central gray value of the dynamic infrared image; h i represents the number of pixels spanned between the center point of the i-th highlight area and the center point of the dynamic infrared image; h zi represents the total number of pixels contained in the i-th highlight area; n represents the total number of pixels contained in the highlight area where the maximum grayscale value of the center of the area is located; H 01j represents the gray value corresponding to the jth pixel in the highlighted area where the maximum gray value of the center of the area is located; z represents the standard deviation of the gray values ​​of the center of the k highlighted areas; Obtaining a second adjustment coefficient using the grayscale values ​​of the pixels included in the high-dark area; The second adjustment coefficient is obtained by the following formula: Among them, S 02 represents the second adjustment coefficient; r represents the number of high and dark areas in the dynamic infrared image; H 02zi H represents the central grayscale value of the i-th high-dark area; 02z H represents the central gray value corresponding to the i-th high-dark area; z Indicates the central gray value of the dynamic infrared image; c i represents the number of pixels spanned between the center point of the ith high-dark area and the center point of the dynamic infrared image; c zi represents the total number of pixels contained in the ith dark region; m represents the total number of pixels contained in the dark region where the minimum grayscale value of the center of the region is located; H 02j represents the gray value corresponding to the jth pixel in the high-dark area where the minimum gray value of the center of the area is located; s represents the standard deviation of the gray values ​​of the center of the area corresponding to r high-dark areas; The contrast of the dynamic infrared image is adjusted by using the first adjustment coefficient and the second adjustment coefficient in combination with the signal-to-noise ratio, wherein the adjusted contrast is obtained by the following formula: Where D represents the contrast after adjustment; D0 represents the contrast before adjustment; S 01 Represents the first adjustment coefficient; S 02 represents the second adjustment coefficient; B represents the signal-to-noise ratio of the dynamic infrared image; B c Indicates the preset signal-to-noise ratio reference value.

6. A multi-channel liquid phase management system, characterized in that: include: A channel visual recognition module is used to perform visual recognition of the relative motion of two phases on all channels of the multi-channel liquid chromatograph to obtain the material precipitation characteristic information of each of the channels; A channel distinguishing module, used for identifying channels where material precipitation is completed and channels where material precipitation is not completed based on the material precipitation characteristic information; A mobile phase pumping pressure determination module is used to obtain dynamic pressure data of each channel for all unfinished material precipitation, analyze the dynamic pressure data, and determine the characteristic information that allows adjustment of the mobile phase pumping pressure of each channel for all unfinished material precipitation; A mobile phase pumping split flow adjustment module is used to perform a mobile phase pumping split flow adjustment operation on all channels where material precipitation has not been completed based on the characteristic information that the mobile phase pumping pressure allows adjustment; A substance dissolution identification module is used to dynamically identify the dissolution of precipitated substances in all channels where substance precipitation has been completed, and obtain the re-dissolution characteristic information of the precipitated substances in all channels where substance precipitation has been completed; The chromatographic analysis operation adjustment module is used to adjust the chromatographic analysis operation status of all channels that have completed the precipitation of substances based on the redissolution characteristic information of the precipitated substances.

7. The multi-channel liquid phase management system according to claim 5, characterized in that: The channel visual recognition module is used to perform two-phase relative motion visual recognition on all channels under the multi-channel liquid chromatograph to obtain the material precipitation characteristic information of each of the channels, including: Acquire the relative motion image between the mobile phase and the stationary phase in each of the channels of the multi-channel liquid chromatograph, dynamically identify the relative motion image, and obtain the picture pixel contour feature change information of the relative motion image; based on the picture pixel contour feature change information, obtain the material precipitation rate feature information of each of the channels during the relative motion process between the mobile phase and the stationary phase; The channel distinguishing module is used to identify the channel where the substance precipitation is completed and the channel where the substance precipitation is not completed based on the substance precipitation characteristic information, and includes: Based on the characteristic information of the substance precipitation rate, the change in the substance precipitation rate of each channel over time during the relative movement of the mobile phase and the stationary phase is determined to judge whether each channel is in a saturated state of substance precipitation; if so, it is determined that the corresponding channel belongs to a channel that has completed substance precipitation; if not, it is determined that the corresponding channel belongs to a channel that has not completed substance precipitation.

8. The multi-channel liquid phase management system according to claim 5, characterized in that: The mobile phase pumping pressure determination module is used to obtain dynamic pressure data of each channel for all unfinished material precipitation, analyze the dynamic pressure data, and determine the mobile phase pumping pressure adjustment feature information of each channel for all unfinished material precipitation, including: Perform flow pressure detection inside all channels where unfinished substances have been precipitated, respectively, to obtain mobile phase movement pressure data inside each channel where unfinished substances have been precipitated; analyze the mobile phase movement pressure data to obtain fluid pressure data corresponding to the mobile phase inside each channel where unfinished substances have been precipitated when it moves to different positions inside the channel; and determine information on the allowable increase range of the mobile phase pumping pressure of each channel where unfinished substances have been precipitated based on the fluid pressure data; The mobile phase pumping diversion adjustment module is used to perform a mobile phase pumping diversion adjustment operation on all channels where material precipitation has not been completed based on the characteristic information that the mobile phase pumping pressure allows adjustment, including: Based on the information on the allowable increase range of the mobile phase pumping pressure and the pumping pressure limit information of the mobile phase delivery pump corresponding to the multi-channel liquid chromatograph, the mobile phase pumping pressure distribution value of the mobile phase delivery pump to each channel where the precipitation of unfinished substances has not been completed is determined, so as to record the mobile phase pumping diversion adjustment operation for all channels where the precipitation of unfinished substances has not been completed.

9. The multi-channel liquid phase management system according to claim 5, characterized in that: The substance dissolution identification module is used to dynamically identify the dissolution of precipitated substances in all channels where substance precipitation has been completed, and obtain the re-dissolution characteristic information of the precipitated substances in all channels where substance precipitation has been completed, including: Performing dynamic infrared photography on all channels where material precipitation has been completed to obtain dynamic infrared images of all channels where material precipitation has been completed; identifying the dynamic infrared images to obtain infrared absorption rate change data of the channels where material precipitation has been completed; analyzing the absorption rate change data to obtain redissolution rate information of the precipitated material of each channel where material precipitation has been completed; The chromatographic analysis operation adjustment module is used to adjust the chromatographic analysis operation status of all channels that have completed the precipitation of substances based on the redissolution characteristic information of the precipitated substances, including: Based on the re-dissolution rate information of the precipitated substance, the time length information required for all channels that have completed substance precipitation to be restored to the original substance dissolution state is estimated; based on the time length information, the chromatographic analysis operation sequence for all channels that have completed substance precipitation is adjusted.

10. The multi-channel liquid phase management system according to claim 9, characterized in that: After acquiring the dynamic infrared images of all channels where material precipitation has been completed, contrast adjustment is performed on the dynamic infrared images, including: Extract dynamic infrared images; Retrieving image parameters for the dynamic infrared image to obtain image parameters corresponding to the dynamic infrared image; The image parameters include a signal-to-noise ratio, a grayscale value corresponding to a highlight area in the image, and a grayscale value corresponding to a dark area in the image; the highlight area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels exceed a preset first grayscale threshold; the dark area in the image is a region composed of pixels whose grayscale values ​​corresponding to the pixels are lower than a preset second grayscale threshold; Obtaining a first adjustment coefficient using the grayscale values ​​of the pixels included in the highlight area; The first adjustment coefficient is obtained by the following formula: Among them, S 01 represents the first adjustment coefficient; k represents the number of highlight areas in the dynamic infrared image; H 01zi H represents the central grayscale value of the i-th highlighted area; 01z Indicates the central grayscale value corresponding to the i-th highlighted area; H z Indicates the central gray value of the dynamic infrared image; h i represents the number of pixels spanned between the center point of the i-th highlight area and the center point of the dynamic infrared image; h zi represents the total number of pixels contained in the i-th highlight area; n represents the total number of pixels contained in the highlight area where the maximum grayscale value of the center of the area is located; H 01j represents the gray value corresponding to the jth pixel in the highlighted area where the maximum gray value of the center of the area is located; z represents the standard deviation of the gray values ​​of the center of the k highlighted areas; Obtaining a second adjustment coefficient using the grayscale values ​​of the pixels included in the high-dark area; The second adjustment coefficient is obtained by the following formula: Among them, S 02 represents the second adjustment coefficient; r represents the number of high and dark areas in the dynamic infrared image; H 02zi H represents the central grayscale value of the i-th high-dark area; 02z H represents the central gray value corresponding to the i-th high-dark area; z Indicates the central gray value of the dynamic infrared image; c i represents the number of pixels spanned between the center point of the ith high-dark area and the center point of the dynamic infrared image; c zi represents the total number of pixels contained in the ith dark region; m represents the total number of pixels contained in the dark region where the minimum grayscale value of the center of the region is located; H 02j represents the gray value corresponding to the jth pixel in the high-dark area where the minimum gray value of the center of the area is located; s represents the standard deviation of the gray values ​​of the center of the area corresponding to r high-dark areas; The contrast of the dynamic infrared image is adjusted by using the first adjustment coefficient and the second adjustment coefficient in combination with the signal-to-noise ratio, wherein the adjusted contrast is obtained by the following formula: Where D represents the contrast after adjustment; D0 represents the contrast before adjustment; S 01 Represents the first adjustment coefficient; S 02 represents the second adjustment coefficient; B represents the signal-to-noise ratio of the dynamic infrared image; B c Indicates the preset signal-to-noise ratio reference value.

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