Automatic detection method and system for laboratory centrifugal machine assembly

Abstract

The invention relates to the technical field of online detection of experimental instruments, in particular to an automatic detection method and system for a laboratory centrifugal machine component, and the method specifically comprises the steps: collecting centrifugal cavity data of a centrifugal machine in the whole working process in real time, calculating to obtain a centrifugal comprehensive risk value, and obtaining actual rotating speed data of the centrifugal machine in a full-load stage; calculating a centrifugal machine rotating speed state evaluation factor; obtaining actual temperature data in a centrifugal cavity; calculating a centrifugal machine temperature state evaluation factor; carrying out fusion evaluation on a centrifugal mass balance coefficient of the centrifugal machine, and carrying out fault mode identification on the centrifugal machine according to the centrifugal risk value and the centrifugal mass balance coefficient. And the fault processing suggestions of the centrifugal machine are output in a targeted manner according to different fault modes of the centrifugal machine. The problems that in the prior art, the automatic detection range of the centrifugal machine is limited, and faults of the centrifugal machine are difficult to detect are solved, meanwhile, fault modes and operation suggestions are output in time, followed guidelines are provided, and the operation risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of on-line detection of experimental instruments, and is an automatic detection method and system for laboratory centrifuge components. Background Art

[0002] Medical centrifuges are special equipment that generate centrifugal force through high-speed rotation to quickly separate and extract substances with different sedimentation coefficients, and are widely used in the fields of medical and health, pharmaceuticals, animal and plant research, etc. However, there are many problems in the working process of existing centrifuges. For example, it is difficult for centrifuges to automatically detect, resulting in uneven and substandard centrifugation quality, centrifugate being thrown out leading to corrosion problems, and the lack of a fault warning mechanism. These problems not only affect the accuracy and reliability of experimental results, but also increase the number of experimental repetitions and may pose potential safety hazards to the equipment.

[0003] In the existing disclosed invention technologies, for example, the patent with the application publication number CN114505180A discloses a centrifugation control method, device, electronic device and storage medium, which realizes parallel centrifugation of each hole position of the centrifuge by timing the centrifugation time of each hole position of the centrifuge respectively, and can ensure the achievement of centrifugation detection effect by means of extending the centrifugation time corresponding to the hole position where centrifugation is interrupted, etc.

[0004] The above patent has limited automatic detection range for centrifuges, and only relying on the calculation of centrifugation time cannot capture potential faults inside the centrifuge, has delays and lacks multi-dimensional evaluation, has few fault mode recognition modes, and cannot comprehensively detect the health status of the centrifuge. Summary of the Invention

[0005] The technical problem solved by the present invention is to provide an automatic detection method and system for laboratory centrifuge components. By automatically detecting multiple parameters of the centrifuge, measuring the error of the centrifuge online, and automatically proposing corresponding calibration schemes after calculating the deviation value, the defect that the centrifuge cannot comprehensively detect the health status due to limited automatic detection range is solved.

[0006] In order to achieve the above object, the technical solution of an automatic detection method for laboratory centrifuge components of the present invention includes the following steps:

[0007] S1: Real-time collect the data of the centrifuge cavity during the entire working process of the centrifuge, import the centrifuge cavity data into the centrifuge comprehensive risk value calculation strategy, and calculate and obtain the centrifuge comprehensive risk value;

[0008] S2: Obtain the actual rotation speed data of the centrifuge during the full-load stage of the centrifuge, import the real-time rotation speed data of the centrifuge into the centrifuge rotation speed evaluation strategy, and calculate the centrifuge rotation speed state evaluation factor;

[0009] S3: Obtain the actual temperature data in the centrifuge chamber during the constant-speed operation stage of the centrifuge, input the real-time centrifuge temperature data into the centrifuge temperature evaluation strategy, and calculate the centrifuge temperature status evaluation factor;

[0010] S4: According to S2 - S3, fuse and evaluate the centrifuge mass balance coefficient of the centrifuge, and identify the failure mode of the centrifuge based on the centrifugation risk value and the centrifuge mass balance coefficient;

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

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

[0013] S11: Real-time collect the centrifuge chamber data during the entire working process of the centrifuge, and update the centrifuge chamber data to the centrifuge chamber data storage center in real time. Among them, the centrifuge chamber data includes: centrifuge rotation speed data and centrifuge chamber wall temperature data;

[0014] S12: Import the centrifuge chamber data into the centrifuge comprehensive risk value calculation strategy, and calculate and obtain the centrifuge comprehensive risk value S i for each data collection period. The specific centrifuge comprehensive risk value calculation strategy is:

[0015] S i = ln(S zs,i ) + ln(S wd,i );

[0016] Among them, S zs,i is the centrifugal rotation speed risk value caused by the rotation speed fluctuation of the centrifuge, and S wd,i is the centrifugal temperature risk value caused by the temperature fluctuation in the centrifuge chamber.

[0017] Specifically, in S12, the calculation strategy of the centrifugal rotation speed risk value is specifically:

[0018]

[0019] Among them, i is the subscript, representing the i-th data collection period. The total number of data collection periods is n, and n = A1 + A2 + A3. Among them, A1 is the rotation speed value measured for the first time after the centrifuge runs smoothly, A2 is the rotation speed value measured by the tachometer every 5 minutes, and A3 is the rotation speed value measured by the tachometer every 10 minutes;

[0020] zs i represents the centrifuge rotation speed data of the i-th data collection period, zs' represents the data value in the centrifuge data storage center that is closest to zs i data value, and zs0 represents the arithmetic mean of the centrifuge rotation speed within 3 minutes after the centrifuge rotation speed rises to the stable stage;

[0021] In S12, the calculation strategy of the centrifugation temperature risk value is specifically as follows:

[0022]

[0023] where wd i represents the temperature data of the centrifugal chamber wall in the i-th data acquisition period, wd' represents the data value in the centrifugal chamber data storage center that is closest to wd i and wd0 is the temperature value measured for the centrifugal chamber after the temperature in the centrifugal chamber has dropped to a stable state.

[0024] Specifically, S2 includes the following specific steps:

[0025] S21: Before automatic measurement, confirm that the centrifuge and the supporting rotor are within the service life and in a safe operating state;

[0026] S22: Select a rotor and centrifuge tubes that match the centrifuge, load the centrifuge to full capacity, and adjust the rotational speed to the maximum rotational speed;

[0027] S23: After stable operation, measure the rotational speed once every 5 minutes with a tachometer for a total of 5 times;

[0028] S24: Calculate the centrifuge rotational speed status evaluation factor, and the centrifugal rotational speed evaluation strategy is:

[0029]

[0030] where ni is the rotational speed value measured in the i-th measurement, unit: r / min, and n is the average value of the 5 rotational speed measurements, unit: r / min.

[0031] Specifically, S3 includes the following specific steps:

[0032] S31: Select the middle point of temperature measurement as 10 °C and measure the temperature of the centrifuge;

[0033] S32: Repeat the measurement 10 times under the same measurement conditions;

[0034] S33: Import the measured temperature data of the centrifuge chamber into the centrifugation temperature evaluation strategy to calculate the centrifugation temperature evaluation factor. The centrifugation temperature evaluation strategy is:

[0035]

[0036] where x i represents the temperature data of the centrifugal chamber wall measured in the i-th measurement.

[0037] Specifically, in S4, the specific calculation strategy of the centrifugal mass balance coefficient of the centrifuge is as follows:

[0038] zl = α1q s +α2q w ;

[0039] Wherein, zl is the centrifugal mass balance coefficient of the centrifuge in the i-th data acquisition period, and α1 and α2 are the contribution coefficients of the centrifugal state evaluation and the contribution coefficient of the tube wall state evaluation factor respectively.

[0040] Specifically, in S4, the fault mode identification of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient specifically includes:

[0041] S41: Preset the maximum comprehensive centrifugal risk threshold. During the entire working process of the centrifuge, the comprehensive centrifugal risk value S of each data acquisition period is i monitored in real time. When the comprehensive centrifugal risk values of two consecutive data acquisition periods are both greater than the maximum comprehensive centrifugal risk threshold, it is determined that the centrifuge is in fault mode one;

[0042] S42: Extract the centrifugal mass balance coefficient of the centrifuge in real time, and preset 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 working normally; otherwise, it is determined that the centrifuge is in fault mode two.

[0043] Specifically, S5 includes: when the centrifuge is in fault mode one, the centrifuge directly activates the emergency stop device to stop the current centrifugation work; when the centrifuge is in fault mode two, an indication that the centrifugal mass does not meet the standard is sent to the user, and a suggestion to extend the centrifugation time or repeat the centrifugation is popped up.

[0044] In addition, an automatic detection system for a laboratory centrifuge component according to the present invention includes the following modules:

[0045] A speed detection module, a temperature detection module, a human-machine interface module, an information processing module, and a fault identification module;

[0046] The speed detection module continuously detects the centrifuge speed data, imports the centrifuge speed data into the centrifugal speed evaluation strategy, and calculates the centrifuge speed state evaluation factor;

[0047] The temperature detection module continuously detects the centrifuge temperature data, imports the centrifuge temperature data into the centrifugal temperature evaluation strategy, and calculates the centrifuge temperature state evaluation factor;

[0048] The human-machine interface module can display the fault mode and the fault handling suggestion;

[0049] The information processing module online collects the speed data and temperature data of the centrifuge, imports the data into the centrifugal comprehensive risk value calculation strategy, and calculates and obtains the centrifugal comprehensive risk value;

[0050] The fault identification module is used to fuse and evaluate the centrifugal mass balance coefficient of the centrifuge, identify the fault mode of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient, and generate fault handling suggestions;

[0051] A storage medium stores instructions, and when a computer reads the instructions, the computer executes the automatic detection method for a laboratory centrifuge component.

[0052] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above-mentioned automatic detection method for a laboratory centrifuge component is realized.

[0053] Compared with the prior art, the technical effects of the present invention are as follows:

[0054] 1. By collecting various data of the centrifugal chamber in real time, such as the actual rotation speed of the centrifuge and the actual temperature data in the centrifugal chamber, the present invention constructs an automatic detection method for the centrifuge. By updating these data in real time, the operating condition of the centrifuge can be understood in time, preventing overall failure caused by local faults. The combination of multiple data sources makes the monitoring more comprehensive and accurate, thereby enhancing the early identification ability of centrifuge faults.

[0055] 2. The present invention uses the real-time data collected and continuously collects various parameters related to the centrifuge by sensors. The high frequency of this data collection enables the system to respond quickly during operation and detect abnormal situations in time.

[0056] 3. When the system determines a specific fault mode, targeted handling suggestions will be provided. For example, the emergency stop device is enabled in fault mode one. Such intelligent handling suggestions enable the operator to take measures quickly and reduce human errors. At the same time, the clear fault handling plan in the solution provides a guideline for the operator to follow and reduces the operation risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic flow chart of an automatic detection method for a laboratory centrifuge component of the present invention;

[0058] Figure 2 It is a schematic structural diagram of an automatic detection method for a laboratory centrifuge component of the present invention;

[0059] Figure 3 It is a schematic layout diagram of the measurement points of the temperature detection module of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0060] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification.

[0061] In the following description, numerous specific details are set forth to facilitate a thorough understanding of the present invention. However, the present invention may be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the spirit of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0062] Secondly, as used herein, an "embodiment" or "embodiments" refers to specific features, structures, or characteristics that may be included in at least one implementation of the present invention. The phrase "in an embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an isolated or alternative embodiment that mutually excludes other embodiments.

[0063] Embodiment 1:

[0064] As Figure 1 shown, an automatic detection method for a laboratory centrifuge assembly according to an embodiment of the present invention includes the following specific steps:

[0065] S1: Real-time collect the data of the centrifuge chamber during the entire working process of the centrifuge, import the centrifuge chamber data into the centrifuge comprehensive risk value calculation strategy, and calculate and obtain the centrifuge comprehensive risk value;

[0066] S2: Obtain the actual rotational speed data of the centrifuge during the full-load stage of the centrifuge, import the real-time rotational speed data of the centrifuge into the centrifuge rotational speed evaluation strategy, and calculate the centrifuge rotational speed state evaluation factor;

[0067] S3: Obtain the actual temperature data inside the centrifuge chamber during the uniform working stage of the centrifuge, input the real-time temperature data of the centrifuge into the centrifuge temperature evaluation strategy, and calculate the centrifuge temperature state evaluation factor;

[0068] S4: According to S2 - S3, fuse and evaluate the centrifuge centrifugal mass balance coefficient, and identify the fault mode of the centrifuge based on the centrifugal risk value and the centrifugal mass balance coefficient;

[0069] S5: Extract different fault modes of the centrifuge, and specifically output centrifuge fault handling suggestions for different fault modes of the centrifuge.

[0070] Specifically, S1 includes the following specific steps:

[0071] S11: Real-time collect the data of the centrifuge chamber during the entire working process of the centrifuge, and real-time update the centrifuge chamber data to the centrifuge chamber data storage center, wherein the centrifuge chamber data includes: centrifuge rotational speed data and centrifuge chamber wall temperature data;

[0072] S12: Import the data of the centrifugation chamber into the calculation strategy for the comprehensive centrifugation risk value, and calculate the comprehensive centrifugation risk value S for each data acquisition period. i , and the calculation strategy for the comprehensive centrifugation risk value is specifically as follows:

[0073] S i = ln(S zs,i ) + ln(S wd,i );

[0074] Among them, S zs,i is the centrifugation speed risk value caused by the speed fluctuation of the centrifuge, and S wd,i is the centrifugation temperature risk value caused by the temperature fluctuation in the centrifuge chamber.

[0075] Specifically, in S12, the calculation strategy for the centrifugation speed risk value is specifically as follows:

[0076]

[0077] Among them, i is a subscript representing the i-th data acquisition period, the total number of data acquisition periods is n, and n = A1 + A2 + A3. Among them, A1 is the rotation speed value measured for the first time after the centrifuge runs smoothly, A2 is the rotation speed value measured by the tachometer every 5 minutes, and A3 is the rotation speed value measured by the tachometer every 10 minutes;

[0078] zs i represents the centrifuge rotation speed data in the i-th data acquisition period, zs' represents the data value in the centrifuge data storage center that is closest to zs i , and zs0 represents the arithmetic mean of the centrifuge rotation speed within 3 minutes after the centrifuge rotation speed rises to the stable stage;

[0079] In S12, the calculation strategy for the centrifugation temperature risk value is specifically as follows:

[0080]

[0081] Among them, wd i represents the temperature data of the centrifuge chamber wall in the i-th data acquisition period, wd' represents the data value in the centrifuge chamber data storage center that is closest to wd i , and wd0 is the temperature value measured for the centrifuge chamber after the temperature in the centrifuge chamber drops to a stable state.

[0082] Specifically, S2 includes the following specific steps:

[0083] S21: Before automatic measurement, confirm that the centrifuge and the supporting rotor are within the service life and in a safe operating state;

[0084] S22: Select a rotor and centrifuge tubes that match the centrifuge, load the centrifuge to full capacity, and adjust the rotational speed to the maximum rotational speed;

[0085] S23: After stable operation, use a tachometer to measure the rotational speed once every 5 minutes for a total of 5 measurements;

[0086] S24: Calculate the evaluation factor for the rotational speed state of the centrifuge. The centrifugal rotational speed evaluation strategy is as follows:

[0087]

[0088] where ni is the rotational speed value measured in the i-th measurement, unit: r / min, and n is the average value of the 5 rotational speed measurements, unit: r / min.

[0089] Specifically, S3 includes the following specific steps:

[0090] S31: Select the intermediate temperature measurement point as 10 °C and measure the temperature of the centrifuge;

[0091] S32: Under the same measurement conditions, repeat the measurement 10 times;

[0092] S33: Import the temperature data of the centrifuge chamber obtained from the measurement into the centrifugal temperature evaluation strategy to calculate the centrifugal temperature evaluation factor. The centrifugal temperature evaluation strategy is as follows:

[0093]

[0094] where x i represents the temperature data of the centrifuge chamber wall measured in the i-th measurement.

[0095] Specifically, in S4, the specific calculation strategy for the centrifugal mass balance coefficient of the centrifuge is as follows:

[0096] zl = α1q s + α2q w ;

[0097] where zl is the centrifugal mass balance coefficient of the centrifuge in the i-th data acquisition period, and α1 and α2 are the contribution coefficients of the centrifugal state evaluation and the contribution coefficient of the tube wall state evaluation factor, respectively.

[0098] Specifically, in S4, the specific identification of the failure mode of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient includes:

[0099] S41: Preset the maximum comprehensive centrifugal risk threshold. During the entire operation of the centrifuge, for the comprehensive centrifugal risk value S of each data acquisition period iPerform real-time monitoring. When the centrifugal comprehensive risk values in two consecutive data acquisition periods are both greater than the maximum centrifugal comprehensive risk threshold, it is determined that the centrifuge is in failure mode one;

[0100] S42: Extract the centrifugal mass balance coefficient of the centrifuge in real time, and preset 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 working normally; otherwise, it is determined that the centrifuge is in failure mode two.

[0101] Specifically, S5 includes: when the centrifuge is in failure mode one, the centrifuge directly activates the emergency stop device to stop the current centrifugation work; when the centrifuge is in failure mode two, an indication that the centrifugal mass does not meet the standard is sent to the user, and a suggestion to extend the centrifugation time or repeat the centrifugation is popped up.

[0102] Embodiment 2: As Figure 2 shown, an automatic detection system for a laboratory centrifuge component according to an embodiment of the present invention includes the following modules:

[0103] A speed detection module, a temperature detection module, a man-machine interface module, an information processing module, and a fault identification module;

[0104] The speed detection module continuously detects the centrifuge speed data, imports the centrifuge speed data into the centrifugal rotation speed evaluation strategy, and calculates the centrifuge rotation speed state evaluation factor;

[0105] The temperature detection module continuously detects the centrifuge temperature data, imports the centrifuge temperature data into the centrifugal temperature evaluation strategy, and calculates the centrifuge temperature state evaluation factor;

[0106] The man-machine interface module can display the failure mode and failure handling suggestions;

[0107] The information processing module online collects the speed data and temperature data of the centrifuge, imports the data into the centrifugal comprehensive risk value calculation strategy, and calculates and obtains the centrifugal comprehensive risk value;

[0108] The fault identification module is used to fuse and evaluate the centrifugal mass balance coefficient of the centrifuge, identify the failure mode of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient, and generate failure handling suggestions;

[0109] Embodiment 3:

[0110] This embodiment provides a method for arranging measurement points of the temperature detection module. As Figure 3 shown, the temperature sensors in the temperature detection module are arranged in a pattern with a spatial interval of 120°. When the volume of the centrifuge is greater than 2m 3 ³, the temperature detection module can be increased to 5, and the spatial interval of the temperature sensors at this time is 72°.

[0111] Example 4:

[0112] This embodiment provides an electronic device, including: a processor and a memory, wherein, a computer program that can be called by the processor is stored in the memory;

[0113] The processor executes the above-mentioned automatic detection method for a laboratory centrifuge component by calling the computer program stored in the memory.

[0114] This electronic device may have relatively large differences due to different configurations or performances, and can include one or more processors (Central Processing Units, CPUs) and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement a method for on-line fault monitoring of a centrifuge provided by the above method embodiment. This electronic device can also include other components for implementing device functions. For example, this electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment will not be elaborated here.

[0115] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0116] In 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 illustrative. For example, the division of units is only one type, and there can be other division methods in actual implementation. For example, 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 displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces, and the indirect coupling or communication connection of devices or units can be in an electrical, mechanical or other forms.

[0117] In summary, compared with the prior art, the technical effects of the present invention are as follows:

[0118] 1. The present invention constructs an automatic detection method for a centrifuge by collecting various data of the centrifuge chamber in real time, such as the actual rotation speed of the centrifuge and the actual temperature data in the centrifuge chamber. By updating these data in real time, the operating condition of the centrifuge can be understood in a timely manner, preventing a complete failure caused by a local fault. The combination of multiple data sources makes the monitoring more comprehensive and accurate, thus enhancing the ability to identify centrifuge faults at an early stage.

[0119] 2. The present invention uses the real-time data collected and continuously collects various parameters of the centrifuge by sensors. The high frequency of this data collection enables the system to respond quickly during operation and detect abnormal situations in a timely manner.

[0120] 3. In the present invention, when the system determines a specific fault mode, it will provide targeted processing suggestions. For example, when the fault mode is one, the emergency stop device is enabled. Such intelligent processing suggestions enable the operator to take measures quickly and reduce human errors. At the same time, the clear fault handling scheme in the solution provides a guideline for the operator to follow and reduces the operation risk.

[0121] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic detection method for laboratory centrifuge components, 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 actual speed data of the centrifuge during the full load stage of the centrifuge, importing the real-time centrifuge speed data into the centrifuge speed evaluation strategy, and calculating the centrifuge speed state evaluation factor; S3: obtaining the actual temperature data in the centrifugal chamber during the uniform speed working stage of the centrifuge, inputting the real-time centrifuge temperature data into the centrifuge temperature evaluation strategy, and calculating the centrifuge temperature 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. The automatic detection method for laboratory centrifuge components 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: centrifuge speed data and centrifugal chamber wall temperature data; S12: Import the centrifugal chamber data into the centrifugal comprehensive risk value calculation strategy to calculate the centrifugal comprehensive risk value S for each data collection period. i , the centrifugal comprehensive risk value calculation strategy is specifically: S i =ln(S zs,i )+ln(S wd,i ); Among them, S zs,i is the centrifugal speed risk value caused by centrifuge speed fluctuation, S wd,i It is the centrifugal temperature risk value caused by the temperature fluctuation in the centrifuge chamber.

3. The automatic detection method for laboratory centrifuge components according to claim 2, characterized in that: The calculation strategy of the centrifugal speed risk value in S12 is specifically as follows: Wherein, i is a subscript, indicating the i-th data collection period, the total number of data collection periods is n, n = A1 + A2 + A3, wherein A1 is the speed value measured for the first time after the centrifuge runs smoothly, A2 is the speed value measured by the tachometer every 5 minutes, and A3 is the speed value measured by the tachometer every 10 minutes; zsi represents the centrifuge speed data in the i-th data collection period, zs' represents the data value closest to zsi in the centrifuge data storage center, and zs0 represents the arithmetic mean of the centrifuge speed within 3 minutes when the centrifuge speed rises to the stable stage; In S12, the calculation strategy of the centrifugal temperature risk value is specifically: Among them, wd i represents the centrifugal chamber wall temperature data of the i-th data collection period, and wd' represents the centrifugal chamber data storage center closest to wd i data value, wd0 is the temperature value measured in the centrifugal chamber after the temperature in the centrifugal chamber drops to a stable level.

4. The automatic detection method for laboratory centrifuge components according to claim 3, characterized in that: S2 includes the following specific steps: S21: Before automatic measurement, confirm that the centrifuge and its supporting rotor are within their service life and in a safe state of use; S22: Select a rotor and centrifuge tube that match the centrifuge, fill the centrifuge to full load, and adjust the speed to the highest speed; S23: After the operation is stable, use the tachometer to measure the speed once every 5 minutes, for a total of 5 times; S24: Calculate the centrifuge speed state assessment factor. The centrifuge speed assessment strategy is: where n i is the speed value measured for the i-th time, unit: r / min, n is the average value of 5 speed measurements, unit: r / min.

5. The automatic detection method for laboratory centrifuge components according to claim 4, characterized in that: S3 includes the following specific steps: S31: Selecting the middle point of temperature measurement as 10°C, and measuring the temperature of the centrifuge; S32: Repeat the measurement 10 times under the same measurement conditions; S33: Importing the measured temperature data in the centrifuge cavity into the centrifugal temperature evaluation strategy to calculate the centrifugal temperature evaluation factor. The centrifugal temperature evaluation strategy is: where x i Represents the centrifugal chamber wall temperature data measured for the i-th time.

6. The automatic detection method for laboratory centrifuge components according to claim 5, characterized in that: In S4, the specific calculation strategy of the centrifugal mass balance coefficient of the centrifuge is as follows: zl=α1q s +α2q w ; Among them, zl is the centrifugal mass balance coefficient of the centrifuge in the i-th data collection period, α1 and α2 are the centrifugal state assessment contribution coefficient and the tube wall state assessment factor contribution coefficient, respectively.

7. An automatic detection method for laboratory centrifuge components according to claim 6, 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, and monitor the comprehensive centrifugal risk value Si of each data collection period in real time during the entire working process of the centrifuge. When the comprehensive centrifugal risk values ​​of two consecutive data collection periods are greater than the maximum comprehensive centrifugal 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.

8. The automatic detection method for laboratory centrifuge components according to claim 7, 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.

9. An automatic detection method system for laboratory centrifuge components, which is implemented based on the automatic detection method for laboratory centrifuge components according to any one of claims 1 to 8, characterized in that: The system includes the following modules: speed detection module, temperature detection module, human-machine interface module, information processing module, and fault identification module; The speed detection module continuously detects the centrifuge speed data, imports the centrifuge speed data into the centrifuge speed evaluation strategy, and calculates the centrifuge speed state evaluation factor; The temperature detection module continuously detects the centrifuge temperature data, imports the centrifuge temperature data into the centrifuge temperature evaluation strategy, and calculates the centrifuge temperature state evaluation factor; The human-machine interface module can display fault modes and fault handling suggestions; The information processing module collects the speed data and temperature data of the centrifuge online, imports the data into the centrifugal comprehensive risk value calculation strategy, and calculates and obtains the centrifugal comprehensive risk value; The fault identification module is used to integrate and evaluate the centrifugal mass balance coefficient of the centrifuge, identify the fault mode of the centrifuge according to the centrifugal risk value and the centrifugal mass balance coefficient, and generate fault handling suggestions.

10. An automatic detection method system for laboratory centrifuge components according to claim 9, characterized in that: The system includes a storage medium in which instructions are stored. When a computer reads the instructions, the computer executes the automatic detection method for laboratory centrifuge components.

Images