Fault online monitoring method and system for centrifugal machine

Abstract

The invention relates to the technical field of online monitoring of experimental instruments, in particular to an online fault monitoring method and system for a centrifugal machine, and the method specifically comprises the steps: collecting centrifugal cavity data of the centrifugal machine in the whole working process in real time, calculating to obtain a centrifugal comprehensive risk value, calculating a centrifugal state evaluation factor, and calculating a pipe wall state evaluation factor. Fusing and evaluating a centrifugal mass balance coefficient of the centrifugal machine, and performing failure mode identification of the centrifugal machine according to the centrifugal risk value and the centrifugal mass balance coefficient; and different fault modes of the centrifugal machine are extracted, and centrifugal machine fault processing suggestions are output in a targeted mode according to the different fault modes of the centrifugal machine. The problems that in the prior art, in the working process of a centrifugal machine, the centrifugal quality is difficult to monitor in real time, and the centrifugal quality is prone to unbalance and substandard are solved, and meanwhile the problem that the inner wall of a centrifugal cavity of the centrifugal machine is corroded due to the fact that centrifugal liquid is not found out in time is solved.

Description

Technical Field

[0001] The invention relates to the technical field of online monitoring of experimental instruments, and relates to an online fault monitoring method and system for a centrifuge. Background Art

[0002] As an important experimental equipment in the fields of biomedicine, chemistry, physics, etc., centrifuges play a key role in the separation and purification of liquid samples. However, existing centrifuges have many problems in their operation, such as the difficulty in real-time monitoring of centrifugal quality, uneven and substandard centrifugal quality, corrosion caused by the throwing out of the centrifuge liquid, and the lack of a fault warning mechanism. These problems not only affect the accuracy and reliability of the experimental results, but also increase the number of experimental repetitions, which may cause equipment safety hazards.

[0003] In the existing disclosed invention technology, for example, the patent with application publication number CN109876931A discloses a method for monitoring the imbalance of an ultragravity centrifuge, in which a plurality of force sensors are arranged on the anchor bolts at the base of the ultragravity centrifuge for fixing the transmission support of the ultragravity centrifuge, and the plurality of force sensors are arranged in a circumferential array, and a relationship curve between the load of the anchor bolts and the imbalance force of the ultragravity centrifuge is obtained through a calibration test; and then, during the actual ultragravity centrifuge test, the load of the anchor bolts is collected in real time, and the corresponding imbalance value is obtained by comparing the relationship curve as a monitoring result.

[0004] The above patent has a limited monitoring scope for the centrifuge, relying only on the force sensor of the anchor bolts, and is unable to capture potential faults inside the centrifuge. There is a delay and lack of multi-dimensional evaluation, and there are few fault mode recognition modes, which cannot fully reflect the health status of the centrifuge. Summary of the invention

[0005] The technical problem to be solved by the present invention is aimed at the prior art. The present invention solves the problem that in the working process of the centrifuge, the centrifugal quality is difficult to monitor in real time, and the centrifugal quality is prone to imbalance and substandard. At the same time, the present invention also avoids the problem of corrosion of the inner wall of the centrifugal chamber of the centrifuge due to untimely discovery of the centrifugal liquid being thrown out, and proposes an online fault monitoring method and system for the centrifuge.

[0006] In order to achieve the above object, the technical solution of a centrifuge fault online monitoring method of the present invention comprises the following steps:

[0007] S1: Real-time collection of centrifugal chamber data of the centrifuge during the entire working process, importing the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy, and calculating and obtaining the centrifugal comprehensive risk value;

[0008] S2: obtaining the real-time centrifugal state data of the centrifuge liquid in the centrifuge tube during the uniform speed working stage of the centrifuge, importing the real-time centrifugal state data into the centrifugal state evaluation strategy, and calculating the centrifugal state evaluation factor;

[0009] S3: acquiring real-time tube wall state data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, importing the real-time tube wall state data into the tube wall state evaluation strategy, and calculating the tube wall state evaluation factor;

[0010] S4: According to S2-S3, the centrifugal mass balance coefficient of the centrifuge is integrated and evaluated, and the failure mode of the centrifuge is identified according to the centrifugal risk value and the centrifugal mass balance coefficient;

[0011] S5: Extract different failure modes of the centrifuge and output centrifuge failure handling suggestions specifically based on the different failure modes of the centrifuge.

[0012] Specifically, S1 includes the following specific steps:

[0013] S11: collecting centrifugal chamber data of the centrifuge during the entire working process in real time, and updating the centrifugal chamber data to a centrifugal chamber data storage center in real time, wherein the centrifugal chamber data includes: centrifugal chamber wall temperature data and centrifugal chamber bottom pressure data;

[0014] S12: Import the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy to calculate the centrifugal comprehensive risk value F for each data collection period i , the centrifugal comprehensive risk value calculation strategy is specifically:

[0015] F i =ln(f yl,i )+ln(f wd,i );

[0016] Among them, f yl,i It is the centrifugal temperature risk value caused by the temperature fluctuation of the centrifugal chamber wall;

[0017] f wd,i It is the centrifugal pressure risk value caused by the pressure fluctuation at the bottom of the centrifugal chamber.

[0018] Specifically, in S12, the calculation strategy of the centrifugal temperature risk value is:

[0019]

[0020] Wherein, i is a subscript, indicating the i-th data collection period, the total number of data collection periods is I, I = A + B + E, A is the total number of data collection periods in the centrifuge acceleration stage; B is the total number of data collection periods in the centrifuge uniform speed stage; E is the total number of data collection periods in the centrifuge deceleration stage;

[0021] The duration of each data collection period is t, and the total duration of the entire working process of the centrifuge is I×t;

[0022] yl i represents the pressure data at the bottom of the centrifugal chamber during the i-th data collection period;

[0023] yl′ represents the closest yl in the centrifugal cavity data storage center i The data value of

[0024] yl 0 It indicates the baseline pressure data at the bottom of the centrifuge tube when the centrifuge tube is placed in the centrifuge chamber during the preparation stage of the centrifuge;

[0025] In S12, the calculation strategy of the centrifugal pressure risk value is specifically:

[0026]

[0027] Among them, wd i represents the centrifugal chamber wall temperature data of the i-th data collection period;

[0028] wd′ represents the closest data storage center to wd i The data value of

[0029] wd 0 It indicates the baseline temperature data of the centrifuge chamber wall when the centrifuge tube is placed in the centrifuge chamber during the preparation stage of the centrifuge.

[0030] Specifically, S2 includes the following specific steps:

[0031] S21: During the uniform speed operation stage of the centrifuge, a light source is used to measure the transmission spectrum of the centrifuge tube in each centrifuge chamber, and the real-time projection spectrum information of the centrifuge liquid in each centrifuge tube is captured in real time by a spectrometer;

[0032] Wherein, the wavelength range of the long light source is 200nm-100nm;

[0033] S22: drawing a transmission spectrum image of the centrifuge liquid in each centrifuge tube according to the real-time projection spectrum information of the centrifuge liquid in each centrifuge tube; wherein the horizontal axis of the projection spectrum image is the wavelength of the light source, and the vertical axis is the transmittance of the sample;

[0034] S23: intercepting the lowest transmittance point and the highest transmittance point in the transmission spectrum image of the centrifuge liquid in each centrifuge tube;

[0035] S24: Calculate in real time the thickness of the centrifugal sedimentation sample in the centrifuge liquid according to the lowest transmittance at the lowest transmittance point;

[0036] S25: The transmittance data of the highest transmittance point and the thickness value of the centrifugal sediment sample in the centrifugal liquid are introduced into the centrifugal state evaluation strategy to calculate the centrifugal state evaluation factor. The centrifugal state evaluation strategy is specifically:

[0037]

[0038] Among them, q i represents the centrifugal state evaluation factor of the i-th data collection period;

[0039] n is a subscript, indicating the nth centrifuge tube. During this operation of the centrifuge, there are a total of N centrifuge chambers with centrifuge tubes added;

[0040] H n ,D n are the transmittance data of the highest transmittance point in the transmission spectrum image of the centrifugal liquid in the nth centrifuge tube and the thickness value of the centrifugal precipitate sample;

[0041] D max ,D min are the maximum thickness value and the minimum thickness value of the centrifugal sedimentation samples in N centrifuge tubes respectively;

[0042] H max ,H min are respectively the maximum transmittance and the minimum transmittance of the transmittance point with the highest transmittance in the transmission spectrum image of the centrifuge liquid in N centrifuge tubes.

[0043] Specifically, in S24, the calculation strategy of the thickness value of the centrifugal sedimentation sample in the centrifuge is:

[0044]

[0045] Among them, ε n ,c n are the light wave absorption coefficient and initial concentration of the centrifuge fluid in the centrifuge tube respectively.

[0046] Specifically, S3 includes the following specific steps:

[0047] S31: acquiring real-time tube wall status data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, wherein the real-time tube wall status data includes: the tilt angle between the bottom vertex of each centrifuge tube and the centrifuge rotor and the average value of the centrifuge tube wall vibration frequency;

[0048] S32: Calculate the pipe wall state assessment factor. The calculation strategy of the pipe wall state assessment factor is:

[0049]

[0050] Among them, p irepresents the pipe wall condition assessment factor of the i-th data collection period;

[0051] a is a subscript, indicating the ath data collection period during the centrifuge acceleration phase;

[0052] e is a subscript, indicating the eth data collection period during the centrifuge deceleration working stage;

[0053] θ n,a ,θ n,a+1 are the tilt angles in the ath and a+1th data collection periods during the centrifuge acceleration phase, respectively;

[0054] pl n,a ,pl n,a+1 are the mean values ​​of the tube wall vibration frequencies in the ath and a+1th data collection periods during the centrifuge acceleration stage;

[0055] θ n,e ,θ n,e+1 are the tilt angles in the ath and a+1th data collection periods during the deceleration working stage of the centrifuge respectively;

[0056] pl n,e ,pl n,e+1 They are respectively the mean values ​​of the tube wall vibration frequencies in the ath and a+1th data collection periods during the deceleration working stage of the centrifuge.

[0057] Specifically, in S4, the specific calculation strategy of the centrifugal mass balance coefficient of the centrifuge is as follows:

[0058] Zl i =α 1 ×q i +α 2 ×p i ;

[0059] Among them, Zl i is the centrifugal mass balance coefficient of the centrifuge in the i-th data collection period;

[0060] α 1 ,α 2 They are the centrifugal state assessment contribution coefficient and the tube wall state assessment factor contribution coefficient respectively.

[0061] Specifically, in S4, the fault mode identification of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient specifically includes:

[0062] S41: Preset the maximum comprehensive centrifugal risk threshold, which is the comprehensive centrifugal risk value F of each data collection period during the entire working process of the centrifuge. iPerform monitoring, and when the centrifugal comprehensive risk values ​​of two consecutive data collection periods are both greater than the centrifugal maximum comprehensive risk threshold, it is determined that the centrifuge is in failure mode 1;

[0063] S42: extracting the centrifugal mass balance coefficient of the centrifuge in real time, and presetting the centrifugal mass balance range. When the centrifugal mass balance coefficient is within the centrifugal mass balance range, it is determined that the centrifuge is operating normally. Otherwise, it is determined that the centrifuge is in fault mode 2.

[0064] Specifically, S5 includes: when the centrifuge is in fault mode 1, the centrifuge directly triggers the emergency stop device to stop the current centrifugation work; when the centrifuge is in fault mode 2, an indication of substandard centrifugation quality is sent to the user, and a suggestion to extend the centrifugation time or repeat the centrifugation is popped up.

[0065] In addition, the present invention provides an online fault monitoring system for a centrifuge, which includes the following modules:

[0066] Risk continuous monitoring module, uniform speed stage monitoring module, non-uniform speed stage monitoring module, fault identification module and processing suggestion output module;

[0067] The risk continuous monitoring module is used to collect centrifugal chamber data of the centrifuge in the entire working process in real time, import the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy, and calculate and obtain the centrifugal comprehensive risk value;

[0068] The uniform speed stage monitoring module is used to obtain the real-time centrifugal state data of the centrifuge liquid in the centrifuge tube during the uniform speed working stage of the centrifuge, import the real-time centrifugal state data into the centrifugal state evaluation strategy, and calculate the centrifugal state evaluation factor;

[0069] The non-uniform speed stage monitoring module is used to obtain the real-time tube wall state data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, import the real-time tube wall state data into the tube wall state evaluation strategy, and calculate the tube wall state evaluation factor;

[0070] The fault identification module is used to integrate and evaluate the centrifugal mass balance coefficient of the centrifuge, and to identify the fault mode of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient;

[0071] The processing suggestion output module is used to extract different failure modes of the centrifuge and output centrifuge failure processing suggestions specifically for the different failure modes of the centrifuge.

[0072] A storage medium stores instructions, and when a computer reads the instructions, the computer executes the method for online fault monitoring of a centrifuge.

[0073] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned method for online fault monitoring of a centrifuge is implemented.

[0074] Compared with the prior art, the technical effects of the present invention are as follows:

[0075] 1. The present invention constructs a comprehensive monitoring system by collecting multiple data of the centrifugal chamber in real time, such as the chamber wall temperature, bottom pressure, and spectral data in the centrifuge tube. By updating these data in real time, the operating status of the centrifuge can be timely understood to prevent comprehensive failure caused by local failures. The combination of multiple data sources makes monitoring more comprehensive and accurate, thereby enhancing the early identification capability of centrifuge failures.

[0076] 2. The present invention uses real-time data collected and sensors to continuously collect various parameters of the centrifuge. The high frequency of data collection enables the system to respond quickly during operation and detect abnormal situations in a timely manner.

[0077] 3. In the present invention, when the system determines that a specific fault mode has occurred, targeted processing suggestions will be provided, such as activating the emergency stop device in fault mode 1. This intelligent processing suggestion allows operators to take quick measures to reduce human errors. At the same time, the clear fault handling solution in the solution provides operators with a guide to follow, reducing operational risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0079] in:

[0080] Figure 1 A schematic flow chart of a method for online fault monitoring of a centrifuge according to the present invention;

[0081] Figure 2 The present invention is a schematic structural diagram of an online fault monitoring system for a centrifuge. DETAILED DESCRIPTION

[0082] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0083] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0084] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0085] Embodiment 1:

[0086] like Figure 1 As shown, an online fault monitoring method for a centrifuge according to an embodiment of the present invention is as follows: Figure 1 As shown, the specific steps are as follows:

[0087] S1: Real-time collection of centrifugal chamber data of the centrifuge during the entire working process, importing the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy, and calculating and obtaining the centrifugal comprehensive risk value;

[0088] S1 includes the following specific steps:

[0089] S11: collecting centrifugal chamber data of the centrifuge during the entire working process in real time, and updating the centrifugal chamber data to a centrifugal chamber data storage center in real time, wherein the centrifugal chamber data includes: centrifugal chamber wall temperature data and centrifugal chamber bottom pressure data;

[0090] S12: Import the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy to calculate the centrifugal comprehensive risk value F for each data collection period i , the centrifugal comprehensive risk value calculation strategy is specifically:

[0091] F i =ln(f yl,i )+ln(f wd,i );

[0092] Among them, f yl,i It is the centrifugal temperature risk value caused by the temperature fluctuation of the centrifugal chamber wall;

[0093] f wd,i It is the centrifugal pressure risk value caused by the pressure fluctuation at the bottom of the centrifugal chamber.

[0094] In S12, the calculation strategy of the centrifugal temperature risk value is specifically:

[0095]

[0096] Wherein, i is a subscript, indicating the i-th data collection period, the total number of data collection periods is I, I = A + B + E, A is the total number of data collection periods in the centrifuge acceleration stage; B is the total number of data collection periods in the centrifuge uniform speed stage; E is the total number of data collection periods in the centrifuge deceleration stage;

[0097] The duration of each data collection period is t, and the total duration of the entire working process of the centrifuge is I×t;

[0098] yl i represents the pressure data at the bottom of the centrifugal chamber during the i-th data collection period;

[0099] yl′ represents the closest yl in the centrifugal cavity data storage center i The data value of

[0100] yl 0 It indicates the baseline pressure data at the bottom of the centrifuge tube when the centrifuge tube is placed in the centrifuge chamber during the preparation stage of the centrifuge;

[0101] In S12, the calculation strategy of the centrifugal pressure risk value is specifically:

[0102]

[0103] Among them, wd i represents the centrifugal chamber wall temperature data of the i-th data collection period;

[0104] wd′ represents the closest data storage center to wd i The data value of

[0105] wd 0 It indicates the baseline temperature data of the centrifuge chamber wall when the centrifuge tube is placed in the centrifuge chamber during the preparation stage of the centrifuge.

[0106] S2: obtaining the real-time centrifugal state data of the centrifuge liquid in the centrifuge tube during the uniform speed working stage of the centrifuge, importing the real-time centrifugal state data into the centrifugal state evaluation strategy, and calculating the centrifugal state evaluation factor;

[0107] S2 includes the following specific steps:

[0108] S21: During the uniform speed operation stage of the centrifuge, a light source is used to measure the transmission spectrum of the centrifuge tube in each centrifuge chamber, and the real-time projection spectrum information of the centrifuge liquid in each centrifuge tube is captured in real time by a spectrometer;

[0109] Wherein, the wavelength range of the long light source is 200nm-100nm;

[0110] S22: drawing a transmission spectrum image of the centrifuge liquid in each centrifuge tube according to the real-time projection spectrum information of the centrifuge liquid in each centrifuge tube; wherein the horizontal axis of the projection spectrum image is the wavelength of the light source, and the vertical axis is the transmittance of the sample;

[0111] S23: intercepting the lowest transmittance point and the highest transmittance point in the transmission spectrum image of the centrifuge liquid in each centrifuge tube;

[0112] S24: Calculate in real time the thickness of the centrifugal sedimentation sample in the centrifuge liquid according to the lowest transmittance at the lowest transmittance point;

[0113] S25: The transmittance data of the highest transmittance point and the thickness value of the centrifugal sediment sample in the centrifugal liquid are introduced into the centrifugal state evaluation strategy to calculate the centrifugal state evaluation factor. The centrifugal state evaluation strategy is specifically:

[0114]

[0115] Among them, q i represents the centrifugal state evaluation factor of the i-th data collection period;

[0116] n is a subscript, indicating the nth centrifuge tube. During this operation of the centrifuge, there are a total of N centrifuge chambers with centrifuge tubes added;

[0117] H n ,D n are the transmittance data of the highest transmittance point in the transmission spectrum image of the centrifugal liquid in the nth centrifuge tube and the thickness value of the centrifugal precipitate sample;

[0118] D max ,D min are the maximum thickness value and the minimum thickness value of the centrifugal sedimentation samples in N centrifuge tubes respectively;

[0119] H max ,H min are respectively the maximum transmittance and the minimum transmittance of the transmittance point with the highest transmittance in the transmission spectrum image of the centrifuge liquid in N centrifuge tubes.

[0120] In S24, the calculation strategy of the thickness value of the centrifugal sediment sample in the centrifuge is specifically as follows:

[0121]

[0122] Among them, ε n ,c n are the light wave absorption coefficient and initial concentration of the centrifuge fluid in the centrifuge tube respectively.

[0123] S3: acquiring real-time tube wall state data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, importing the real-time tube wall state data into the tube wall state evaluation strategy, and calculating the tube wall state evaluation factor;

[0124] S3 includes the following specific steps:

[0125] S31: acquiring real-time tube wall status data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, wherein the real-time tube wall status data includes: the tilt angle between the bottom vertex of each centrifuge tube and the centrifuge rotor and the average value of the centrifuge tube wall vibration frequency;

[0126] S32: Calculate the pipe wall state assessment factor. The calculation strategy of the pipe wall state assessment factor is:

[0127]

[0128] Among them, p i represents the pipe wall condition assessment factor for the i-th data collection period;

[0129] a is a subscript, indicating the ath data collection period during the centrifuge acceleration phase;

[0130] e is a subscript, indicating the eth data collection period during the centrifuge deceleration working stage;

[0131] θ n,a ,θ n,a+1 are the tilt angles in the ath and a+1th data collection periods during the centrifuge acceleration phase, respectively;

[0132] pl n,a ,pl n,a+1 are the mean values ​​of the tube wall vibration frequencies in the ath and a+1th data collection periods during the centrifuge acceleration stage;

[0133] θ n,e ,θ n,e+1 are the tilt angles in the ath and a+1th data collection periods during the deceleration working stage of the centrifuge respectively;

[0134] pl n,e ,pl n,e+1 They are respectively the mean values ​​of the tube wall vibration frequencies in the ath and a+1th data collection periods during the deceleration working stage of the centrifuge.

[0135] S4: According to S2-S3, the centrifugal mass balance coefficient of the centrifuge is integrated and evaluated, and the failure mode of the centrifuge is identified according to the centrifugal risk value and the centrifugal mass balance coefficient;

[0136] In S4, the specific calculation strategy of the centrifugal mass balance coefficient of the centrifuge is as follows:

[0137] Zl i =α 1 ×q i +α 2 ×p i ;

[0138] Among them, Zl i is the centrifugal mass balance coefficient of the centrifuge in the i-th data collection period;

[0139] α 1 ,α 2 They are the centrifugal state assessment contribution coefficient and the tube wall state assessment factor contribution coefficient respectively.

[0140] In S4, the fault mode identification of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient specifically includes:

[0141] S41: Preset the maximum comprehensive centrifugal risk threshold, which is the comprehensive centrifugal risk value F of each data collection period during the entire working process of the centrifuge. i Perform monitoring, and when the centrifugal comprehensive risk values ​​of two consecutive data collection periods are both greater than the centrifugal maximum comprehensive risk threshold, it is determined that the centrifuge is in failure mode 1;

[0142] S42: extracting the centrifugal mass balance coefficient of the centrifuge in real time, and presetting the centrifugal mass balance range. When the centrifugal mass balance coefficient is within the centrifugal mass balance range, it is determined that the centrifuge is operating normally. Otherwise, it is determined that the centrifuge is in fault mode 2.

[0143] S5: Extract different failure modes of the centrifuge and output centrifuge failure handling suggestions specifically based on the different failure modes of the centrifuge.

[0144] S5 includes: when the centrifuge is in fault mode 1, the centrifuge directly triggers the emergency stop device to stop the current centrifugation; when the centrifuge is in fault mode 2, an indication of substandard centrifugation quality is sent to the user, and a suggestion to extend the centrifugation time or repeat the centrifugation is popped up.

[0145] Embodiment 2:

[0146] like Figure 2 As shown, an online fault monitoring system for a centrifuge according to an embodiment of the present invention is as follows: Figure 2 As shown, it includes the following modules:

[0147] Risk continuous monitoring module, uniform speed stage monitoring module, non-uniform speed stage monitoring module, fault identification module and processing suggestion output module;

[0148] The risk continuous monitoring module is used to collect centrifugal chamber data of the centrifuge in the entire working process in real time, import the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy, and calculate and obtain the centrifugal comprehensive risk value;

[0149] The uniform speed stage monitoring module is used to obtain the real-time centrifugal state data of the centrifuge liquid in the centrifuge tube during the uniform speed working stage of the centrifuge, import the real-time centrifugal state data into the centrifugal state evaluation strategy, and calculate the centrifugal state evaluation factor;

[0150] The non-uniform speed stage monitoring module is used to obtain the real-time tube wall state data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, import the real-time tube wall state data into the tube wall state evaluation strategy, and calculate the tube wall state evaluation factor;

[0151] The fault identification module is used to integrate and evaluate the centrifugal mass balance coefficient of the centrifuge, and to identify the fault mode of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient;

[0152] The processing suggestion output module is used to extract different failure modes of the centrifuge and output centrifuge failure processing suggestions specifically for the different failure modes of the centrifuge.

[0153] Embodiment three:

[0154] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0155] The processor executes the above-mentioned method for online fault monitoring of a centrifuge by calling a computer program stored in the memory.

[0156] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein at least one computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement a method for online fault monitoring of a centrifuge provided in the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input / output interface, so as to input and output data. This embodiment will not be described in detail herein.

[0157] Embodiment 4:

[0158] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0159] When the computer program is executed on a computer device, the computer device is caused to execute the above-mentioned method for online fault monitoring of a centrifuge.

[0160] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0161] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0162] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0163] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0164] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0165] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0166] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0167] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0169] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0170] In summary, compared with the prior art, the technical effects of the present invention are as follows:

[0171] 1. The present invention constructs a comprehensive monitoring system by collecting multiple data of the centrifugal chamber in real time, such as the chamber wall temperature, bottom pressure, and spectral data in the centrifuge tube. By updating these data in real time, the operating status of the centrifuge can be timely understood to prevent comprehensive failure caused by local failures. The combination of multiple data sources makes monitoring more comprehensive and accurate, thereby enhancing the early identification capability of centrifuge failures.

[0172] 2. The present invention uses real-time data collected and sensors to continuously collect various parameters of the centrifuge. The high frequency of data collection enables the system to respond quickly during operation and detect abnormal situations in a timely manner.

[0173] 3. In the present invention, when the system determines that a specific fault mode has occurred, targeted processing suggestions will be provided, such as activating the emergency stop device in fault mode 1. This intelligent processing suggestion allows operators to take quick measures to reduce human errors. At the same time, the clear fault handling solution in the solution provides operators with a guide to follow, reducing operational risks.

[0174] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for online fault monitoring of a centrifuge, characterized in that: The method comprises the following specific steps: S1: Real-time collection of centrifugal chamber data of the centrifuge during the entire working process, importing the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy, and calculating and obtaining the centrifugal comprehensive risk value; S2: obtaining the real-time centrifugal state data of the centrifuge liquid in the centrifuge tube during the uniform speed working stage of the centrifuge, importing the real-time centrifugal state data into the centrifugal state evaluation strategy, and calculating the centrifugal state evaluation factor; S3: acquiring real-time tube wall state data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, importing the real-time tube wall state data into the tube wall state evaluation strategy, and calculating the tube wall state evaluation factor; S4: According to S2-S3, the centrifugal mass balance coefficient of the centrifuge is integrated and evaluated, and the failure mode of the centrifuge is identified according to the centrifugal risk value and the centrifugal mass balance coefficient; S5: Extract different failure modes of the centrifuge and output centrifuge failure handling suggestions specifically based on the different failure modes of the centrifuge.

2. A method for online fault monitoring of a centrifuge according to claim 1, characterized in that: S1 includes the following specific steps: S11: collecting centrifugal chamber data of the centrifuge during the entire working process in real time, and updating the centrifugal chamber data to a centrifugal chamber data storage center in real time, wherein the centrifugal chamber data includes: centrifugal chamber wall temperature data and centrifugal chamber bottom pressure data; S12: Import the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy to calculate the centrifugal comprehensive risk value F for each data collection period i , the centrifugal comprehensive risk value calculation strategy is specifically: F i =ln(f yl,i )+ln(f wd,i ); Among them, f yl,i It is the centrifugal temperature risk value caused by the temperature fluctuation of the centrifugal chamber wall; f wd,i It is the centrifugal pressure risk value caused by the pressure fluctuation at the bottom of the centrifugal chamber.

3. A method for online fault monitoring of a centrifuge according to claim 2, characterized in that: In S12, the calculation strategy of the centrifugal temperature risk value is specifically: Wherein, i is a subscript, indicating the i-th data collection period, the total number of data collection periods is I, I = A + B + E, A is the total number of data collection periods in the centrifuge acceleration stage; B is the total number of data collection periods in the centrifuge uniform speed stage; E is the total number of data collection periods in the centrifuge deceleration stage; The duration of each data collection period is t, and the total duration of the entire working process of the centrifuge is I×t; yl i represents the pressure data at the bottom of the centrifugal chamber during the i-th data collection period; yl′ represents the closest yl in the centrifugal cavity data storage center i The data value of yl0 represents the baseline pressure data at the bottom of the centrifuge tube when the centrifuge tube is placed in the centrifuge chamber during the preparation stage of the centrifuge; In S12, the calculation strategy of the centrifugal pressure risk value is specifically: Among them, wd i represents the centrifugal chamber wall temperature data of the i-th data collection period; wd′ represents the closest data storage center to wd i The data value of wd0 represents the baseline temperature data of the centrifugal chamber wall when the centrifugal tube is placed in the centrifugal chamber during the preparation stage of the centrifuge.

4. A method for online fault monitoring of a centrifuge according to claim 3, characterized in that: S2 includes the following specific steps: S21: During the uniform speed operation stage of the centrifuge, a light source is used to measure the transmission spectrum of the centrifuge tube in each centrifuge chamber, and the real-time projection spectrum information of the centrifuge liquid in each centrifuge tube is captured in real time by a spectrometer; S22: drawing a transmission spectrum image of the centrifugal solution in each centrifugal tube according to the real-time projection spectrum information of the centrifugal solution in each centrifugal tube; S23: intercepting the lowest transmittance point and the highest transmittance point in the transmission spectrum image of the centrifuge liquid in each centrifuge tube; S24: Calculate in real time the thickness of the centrifugal sedimentation sample in the centrifuge liquid according to the lowest transmittance at the lowest transmittance point; S25: The transmittance data of the highest transmittance point and the thickness value of the centrifugal sediment sample in the centrifugal liquid are introduced into the centrifugal state evaluation strategy to calculate the centrifugal state evaluation factor. The centrifugal state evaluation strategy is specifically: Among them, q i represents the centrifugal state evaluation factor of the i-th data collection period; n is a subscript, indicating the nth centrifuge tube. During this operation of the centrifuge, there are a total of N centrifuge chambers with centrifuge tubes added; H n ,D n are the transmittance data of the highest transmittance point in the transmission spectrum image of the centrifugal liquid in the nth centrifuge tube and the thickness value of the centrifugal precipitate sample; D max ,D min are the maximum thickness value and the minimum thickness value of the centrifugal sedimentation samples in N centrifuge tubes respectively; H max ,H min are respectively the maximum transmittance and the minimum transmittance of the transmittance point with the highest transmittance in the transmission spectrum image of the centrifuge liquid in N centrifuge tubes.

5. A method for online fault monitoring of a centrifuge according to claim 4, characterized in that: In S24, the calculation strategy of the thickness value of the centrifugal sedimentation sample in the centrifuge is specifically as follows: Among them, ε n ,c n are the light wave absorption coefficient and initial concentration of the centrifuge fluid in the centrifuge tube respectively.

6. A method for online fault monitoring of a centrifuge according to claim 5, characterized in that: S3 includes the following specific steps: S31: acquiring real-time tube wall status data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, wherein the real-time tube wall status data includes: the tilt angle between the bottom vertex of each centrifuge tube and the centrifuge rotor and the average value of the centrifuge tube wall vibration frequency; S32: Calculate the pipe wall state assessment factor. The calculation strategy of the pipe wall state assessment factor is: Among them, p i represents the pipe wall condition assessment factor for the i-th data collection period; a is a subscript, indicating the ath data collection period during the centrifuge acceleration phase; e is a subscript, indicating the eth data collection period during the centrifuge deceleration working stage; θ n,a ,θ n,a+1 are the tilt angles in the ath and a+1th data collection periods during the centrifuge acceleration phase, respectively; pl n,a ,pl n,a+1 are the mean values ​​of the tube wall vibration frequencies in the ath and a+1th data collection periods during the centrifuge acceleration stage; θ n,e ,θ n,e+1 are the tilt angles in the ath and a+1th data collection periods during the deceleration working stage of the centrifuge respectively; pl n,e ,pl n,e+1 They are respectively the mean values ​​of the tube wall vibration frequencies in the ath and a+1th data collection periods during the deceleration working stage of the centrifuge.

7. A method for online fault monitoring of a centrifuge according to claim 6, characterized in that: In S4, the specific calculation strategy of the centrifugal mass balance coefficient of the centrifuge is as follows: Zl i =α1×q i +α2×p i ; Among them, Zl i is the centrifugal mass balance coefficient of the centrifuge in the i-th data collection period; α1 and α2 are the contribution coefficients of centrifugal state assessment and tube wall state assessment factor, respectively.

8. A method for online fault monitoring of a centrifuge according to claim 7, characterized in that: In S4, the fault mode identification of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient specifically includes: S41: Preset the maximum comprehensive centrifugal risk threshold, which is the comprehensive centrifugal risk value F of each data collection period during the entire working process of the centrifuge. i Perform monitoring, and when the centrifugal comprehensive risk values ​​of two consecutive data collection periods are both greater than the centrifugal maximum comprehensive risk threshold, it is determined that the centrifuge is in failure mode 1; S42: extracting the centrifugal mass balance coefficient of the centrifuge in real time, and presetting the centrifugal mass balance range. When the centrifugal mass balance coefficient is within the centrifugal mass balance range, it is determined that the centrifuge is operating normally. Otherwise, it is determined that the centrifuge is in fault mode 2.

9. A method for online fault monitoring of a centrifuge according to claim 8, characterized in that: S5 includes: When the centrifuge is in fault mode 1, the centrifuge directly triggers the emergency stop device to stop the current centrifugation work; when the centrifuge is in fault mode 2, an indication of substandard centrifugation quality is given to the user, and a suggestion to extend the centrifugation time or repeat the centrifugation is popped up.

10. A centrifuge fault online monitoring method system, which is implemented based on the centrifuge fault online monitoring method according to any one of claims 1 to 9, characterized in that: The system includes the following modules: a risk continuous monitoring module, a uniform speed stage monitoring module, a non-uniform speed stage monitoring module, a fault identification module, and a processing suggestion output module; The risk continuous monitoring module is used to collect centrifugal chamber data of the centrifuge in the entire working process in real time, import the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy, and calculate and obtain the centrifugal comprehensive risk value; The uniform speed stage monitoring module is used to obtain the real-time centrifugal state data of the centrifuge liquid in the centrifuge tube during the uniform speed working stage of the centrifuge, import the real-time centrifugal state data into the centrifugal state evaluation strategy, and calculate the centrifugal state evaluation factor; The non-uniform speed stage monitoring module is used to obtain the real-time tube wall state data of the centrifuge tube wall during the non-uniform speed working stage of the centrifuge, import the real-time tube wall state data into the tube wall state evaluation strategy, and calculate the tube wall state evaluation factor; The fault identification module is used to integrate and evaluate the centrifugal mass balance coefficient of the centrifuge, and to identify the fault mode of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient; The processing suggestion output module is used to extract different failure modes of the centrifuge and output centrifuge failure processing suggestions specifically for the different failure modes of the centrifuge.

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