CN112113674A - Monitoring method of refrigerating device, sample analyzer and computer storage medium - Google Patents

Monitoring method of refrigerating device, sample analyzer and computer storage medium Download PDF

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Publication number
CN112113674A
CN112113674A CN201910544938.2A CN201910544938A CN112113674A CN 112113674 A CN112113674 A CN 112113674A CN 201910544938 A CN201910544938 A CN 201910544938A CN 112113674 A CN112113674 A CN 112113674A
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temperature information
period
collected
time
sample analyzer
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CN112113674B (en
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张康
杜贤算
刘斌
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Shenzhen Mindray Bio Medical Electronics Co Ltd
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Shenzhen Mindray Bio Medical Electronics Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02Means for indicating or recording specially adapted for thermometers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • G01M99/002Thermal testing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • G01M99/005Testing of complete machines, e.g. washing-machines or mobile phones

Abstract

The application discloses monitoring method of refrigerating plant is applied to sample analysis appearance, sample analysis appearance has refrigerating plant, includes: acquiring temperature information of the refrigerating device in a preset acquisition cycle; storing the collected temperature information; acquiring the quantity of temperature information acquired in a preset time period; and determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information. According to the monitoring method of the refrigeration device, the temperature information of the refrigeration device is collected and stored in the preset period, the quantity of the collected temperature information in the preset time period is obtained, the abnormal time of the refrigeration device can be determined according to the quantity of the collected temperature information, and therefore the monitoring method of the refrigeration device, which can monitor whether the refrigeration device works abnormally, is provided.

Description

Monitoring method of refrigerating device, sample analyzer and computer storage medium
Technical Field
The present application relates to the field of medical equipment, and in particular, to a monitoring method for a refrigeration device, a sample analyzer, and a computer storage medium.
Background
The CRP detection method commonly used at present adopts a turbidimetric detection method, the latex reagent is used for adsorbing or crosslinking an antibody, and the reliability of the latex reagent plays a crucial role in the accuracy of CRP detection. The latex reagent needs to be used or stored at a lower ambient temperature, and the use or storage at a higher ambient temperature than expected causes the latex reagent to deteriorate, thereby affecting the accuracy of CRP detection.
The sample analyzer in the prior art does not have the function of monitoring whether the latex reagent is stored at an abnormal temperature, so that a user cannot judge whether the latex reagent is deteriorated.
Content of application
The application provides a monitoring method of a refrigeration device, a sample analyzer and a computer storage medium, wherein the monitoring method can monitor whether the refrigeration device works abnormally.
In one aspect, an embodiment of the present application provides a method for monitoring a refrigeration device, which is applied to a sample analyzer, where the sample analyzer has a refrigeration device, and includes:
acquiring temperature information of the refrigerating device in a preset acquisition cycle;
storing the collected temperature information;
acquiring the quantity of temperature information acquired in a preset time period;
and determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information.
On the other hand, the embodiment of the application also provides a sample analyzer, which is provided with a refrigeration device, wherein a temperature sensor is arranged in the refrigeration device, the sample analyzer further comprises a controller electrically connected to the temperature sensor, and a memory electrically connected to the controller;
the temperature sensor is used for acquiring temperature information in a preset acquisition period;
the memory is used for storing the temperature information acquired by the temperature sensor;
the controller is used for determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information.
In still another aspect, an embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a program, and the program includes the steps of the monitoring method for a refrigeration apparatus when executed.
According to the monitoring method of the refrigeration device, the temperature information of the refrigeration device is collected and stored in the preset period, the quantity of the collected temperature information in the preset time period is obtained, the abnormal time of the refrigeration device can be determined according to the quantity of the collected temperature information, and therefore the monitoring method of the refrigeration device, which can monitor whether the refrigeration device works abnormally, is provided.
Drawings
In order to more clearly illustrate the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic flow chart of a monitoring method for a refrigeration device according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another monitoring method for a refrigeration device according to an embodiment of the present disclosure;
fig. 3 is a block diagram of a sample analyzer according to an embodiment of the present disclosure;
fig. 4 is a block diagram of a sample analyzer according to a second embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
Referring to fig. 1, a schematic flow chart of a monitoring method of a refrigeration device according to an embodiment of the present application is shown, where the method is applied to a sample analyzer. Optionally, the sample analyzer is a blood routine + CRP all-in-one machine, and a latex reagent is stored in a refrigeration device of the sample analyzer at a preset temperature for CRP detection. It will be appreciated that the latex reagent plays an important role in the accuracy of the detection of CRP, and the storage temperature of the latex reagent is an important factor in ensuring that the latex reagent is not degraded. If the refrigeration device is abnormally operated and cannot be known by a user, the latex reagent may deteriorate, so that the result of the CRP detection is not desirable because the user does not know the reagent.
As shown in fig. 1, the monitoring method of the refrigeration apparatus specifically includes:
110: and acquiring the temperature information of the refrigerating device in a preset acquisition period.
Specifically, when the refrigeration device is working normally, the temperature sensor in the refrigeration device can also work normally. In other words, when the refrigeration device normally works, the temperature sensor can collect the temperature information of the refrigeration device in a preset collection period. If the refrigeration device cannot work normally when the power is off, the corresponding temperature sensor cannot acquire the temperature information of the refrigeration device.
In one embodiment, the temperature information may be a temperature value of the refrigeration device currently acquired by the temperature sensor. For example, if the temperature value of the refrigeration device is 1 degree, the temperature information currently collected by the temperature sensor is 1 degree.
120: storing the collected temperature information.
Specifically, the memory stores the collected temperature information.
130: and acquiring the quantity of the temperature information acquired in a preset time period.
Specifically, the preset time period may be a preset time period. Or may be a time period for triggering controller acquisition in a burst scenario, such as a power-off scenario. Or may be a time period of user input received by the sample analyzer. For example, the acquisition cycle is 10s, and the preset time period is 13: 00-13: 01, when the refrigerating device works normally, the number of the temperature information stored in the memory is 10. If the refrigerating device cannot work normally, the number of the temperature information stored in the memory is less than 10.
140: and determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information.
Specifically, the abnormal time of the refrigeration device can be determined according to the quantity of the temperature information, so that a user can know whether the refrigeration device works abnormally in a preset time period, and can know whether the refrigeration device keeps the preset temperature in the preset time period to refrigerate the latex reagent so as to know whether the latex reagent is deteriorated and the CRP detection is affected, and the reliability of the sample analyzer is ensured.
According to the monitoring method of the refrigerating device, the temperature information of the refrigerating device is collected and stored in the preset period, the quantity of the collected temperature information in the preset time period is obtained, the abnormal time of the refrigerating device can be determined according to the quantity of the collected temperature information, and therefore the monitoring method of the refrigerating device capable of monitoring whether the refrigerating device works abnormally is provided.
Referring to fig. 2, a schematic flow chart of a monitoring method of another refrigeration device according to an embodiment of the present application is shown, where the method is applied to a sample analyzer. Optionally, the sample analyzer includes a main system power supply and a cooling device. In other words, when the main system power supply is powered off, the power supply of the refrigerating device may be powered off or may work normally, so that when the main system power supply is powered off, whether the refrigerating device works abnormally or not cannot be determined, and whether the latex reagent stored in the refrigerating device is deteriorated or not cannot be determined. The monitoring method of the refrigerating device can accurately acquire the abnormal time of the refrigerating device when the power supply of the main system is powered off.
As shown in fig. 2, the monitoring method of the refrigeration apparatus specifically includes:
210: and acquiring the temperature information of the refrigerating device in a preset acquisition period.
Specifically, when the refrigeration device is working normally, the temperature sensor in the refrigeration device can also work normally. In other words, when the refrigeration device normally works, the temperature sensor can collect the temperature information of the refrigeration device in a preset collection period. If the refrigeration device cannot work normally when the power is off, the corresponding temperature sensor cannot acquire the temperature information of the refrigeration device.
220: storing the collected temperature information.
Specifically, the memory stores the acquired temperature information and stores an acquisition time stamp corresponding to the acquired temperature information.
230: acquiring a power-off time period of a main system power supply; and counting the quantity of the temperature information in the power-off time period.
In the normal operation process of the refrigerating device, when temperature information is collected, the current temperature information collection times are accumulated according to the collected temperature information, and the collection time stamp for the temperature information and the accumulated temperature information collection times are stored in a correlation mode. The temperature information acquisition times and the acquisition time stamp corresponding to the acquired temperature information at each time can be stored. These temperature acquisition times and corresponding acquisition time stamps are stored in a memory in association. For example, the temperature information a1 is collected at the collection timestamp T1, the current temperature information collection times S are accumulated to obtain S +1, and the collection timestamps T1 and S +1 are stored in the memory in a correlated manner; further, when the temperature information a2 is collected at the next collection timestamp T2 of the collection timestamp T1, the current collection times S +1 of the temperature information are accumulated to obtain S +2, and the T2 and the S +2 are stored in the memory in an associated manner, which is repeated herein.
Optionally, the power-off time period of the main system power supply may be acquired as the preset time period when the main system power supply normally works after being powered off.
In one embodiment, when acquiring a power-off time period of a main system power supply, a start time stamp and an end time stamp of the power-off time period may be acquired; acquiring the accumulated temperature information acquisition times at the initial timestamp as a first count value; acquiring the temperature information collection times accumulated in the end timestamp as a second count value; and determining the quantity of the temperature information in the power-off time period according to the difference value of the second counting value and the first counting value. The method includes the steps that for a first counting value, a collection timestamp close to a starting timestamp can be obtained from collection timestamps stored in a pre-association mode, accumulated temperature information collection times having an association relation with the close collection timestamps are obtained, and the temperature information collection times are used as the first counting value. For the second count value, the collection timestamp close to the end timestamp may be obtained in the collection timestamps stored in advance in an associated manner, and then the accumulated temperature information collection times having an association relationship with the close collection timestamp may be obtained, and the temperature information collection times may be used as the second count value. And determining the quantity of the temperature information in the power-off time period according to the difference value of the second counting value and the first counting value.
For example, the power-off period is 13: 01-13: 49, and converting 13: 01 as the start timestamp, 13: 10 as the end timestamp. As shown in table 1: the acquisition time stamp stored in the memory comprises 13: 00. 13: 02. 13: 04. 13: 50. 13: 52. wherein with 13: the closest acquisition timestamp before 01 is 13: 00, thus 13: 00 as the acquisition timestamp close to the start timestamp, and further acquiring the data of 13: 00 the temperature information collection times after the correlation is accumulated is 156; the temperature information collection count 156 is taken as a first count value of the start time stamp. And 13: the closest acquisition timestamp before 49 is 13: 04, and therefore 13: 04 as the acquisition timestamp adjacent to the start timestamp, and further acquiring the data corresponding to the acquisition time of 13: 04 the number of times of acquiring the temperature information after the correlation is accumulated is 158; the temperature information collection count 158 is set as a second count value of the end time stamp. The difference 2 after subtracting the first count value 156 from the second count value 158 is determined as the power-off period 13 by the difference 2: 01-13: 49 temperature information. In other words, in the power-off period 13: 01-13: within 49, the number of temperature information collected is 2.
Table 1:
acquisition time stamp 13:00 13:02 13:04 13:50 13:52
Number of times of temperature information acquisition 156 157 158 159 160
In another embodiment, when acquiring the power-off time period of the main system power supply, a start time stamp and an end time stamp of the power-off time period may be acquired; and counting the quantity of the temperature information in the interval according to the starting time stamp and the ending time stamp.
240: and determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information.
Optionally, the abnormal time of the refrigeration device is determined according to the number of the collected temperature information, the frequency of the collection cycle, and the duration of the preset time period. In one embodiment, the quantity of the collected temperature information, the frequency of a collection period and the duration of a preset time period are calculated based on an abnormal time formula to obtain the abnormal time of the refrigeration device; wherein, the abnormal time formula is as follows: t is1T-n/f; wherein, T1The time is the abnormal time of the refrigerating device, T is the duration of a preset time period, n is the number of collected temperature information, and f is the frequency of a collection period. Specifically, the power-off time period is used as a preset time period.
For example, the power-off period is 13: 01-13: 49, the corresponding time duration is determined to be 48 minutes, the number of the collected temperature information is 3 as shown in table 1, the frequency of the collection period is 1/2, and the abnormal time T is obtained148-2 x 2-44 minutes. In other words, in the power-off period 13: 01-13: in 49, the abnormal time of the refrigeration apparatus was 44 minutes. Therefore, the latex reagent is not stored at the preset temperature within 44 minutes, and then the deterioration of the latex reagent is judged, so that the latex reagent cannot be used for GRP detection.
250: if the abnormal time of the refrigerating device is zero, determining that the refrigerating device is in a normal running state; and if the abnormal time of the refrigerating device is greater than zero, outputting alarm information.
Specifically, if the abnormal time of the refrigeration device is greater than zero, it indicates that the refrigeration device is also powered off in the power-off time period, which affects the refrigeration of the latex reagent stored therein, and therefore alarm information is output to remind the user. Otherwise, it indicates that the refrigeration device is not powered off during the power-off period, and does not affect the refrigeration of the emulsion reagent stored therein.
The monitoring method for the refrigerating device provided by the embodiment of the application can accurately acquire the abnormal time of the refrigerating device in the power-off time period of the main system power supply without adding hardware under the scene that the main system power supply and the refrigerating device are not powered off synchronously, so that the monitoring method for the refrigerating device can monitor whether the refrigerating device works abnormally or not.
Fig. 3 is a block diagram of a sample analyzer 100 according to an embodiment of the present disclosure. The sample analyzer 100 has a refrigeration device 1, a temperature sensor 11 is provided in the refrigeration device 1, the sample analyzer 100 further includes a controller 13 electrically connected to the temperature sensor 11, and a memory 12 electrically connected to the controller 13; the temperature sensor 11 is used for acquiring temperature information in a preset acquisition cycle; a memory 12 for storing temperature information collected by the temperature sensor 11; and a controller 13 for determining an abnormal time of the refrigerating apparatus 1 according to the amount of the collected temperature information.
Specifically, the sample analyzer 100 is a blood routine + CRP integrated machine, and the refrigeration device 1 of the sample analyzer 100 stores a latex reagent at a preset temperature for CRP detection. The temperature sensor 11 and the memory 12 are provided in the refrigeration apparatus 1, and stop operating after the power supply of the refrigeration apparatus 1 is turned off. In other words, after the power of the refrigeration apparatus 1 is turned off, the temperature sensor 11 stops collecting the temperature information, and the memory 12 stops storing the temperature information. When the power supply of the refrigeration device 1 works normally, the temperature sensor 11 collects temperature information at a preset period, and the memory 12 correspondingly stores the temperature information. The specific implementation manners of the temperature sensor 11, the memory 12 and the controller 13 can be referred to as 110 and 140 in the corresponding embodiment of fig. 1, and are not described herein again.
The sample analyzer 100 provided in the embodiment of the present application can accurately acquire the abnormal time of the refrigeration device 1 in a desired time period without increasing hardware, thereby ensuring the reliability of the sample analyzer 100.
Fig. 4 is a block diagram of a sample analyzer 200 according to a second embodiment of the present disclosure. The sample analyzer 200 in the second embodiment has substantially the same structure as the sample analyzer 200 in the first embodiment, but the difference is that the sample analyzer 200 further includes a main system power supply 2, the power failure of the main system power supply 2 and the power failure of the refrigeration apparatus 1 are asynchronous, and the controller 13 is specifically configured to acquire the power failure time period of the main system power supply 2, and count the number of temperature information in the power failure time period. Specifically, the main system power supply 2 and the refrigeration apparatus 1 are not the same power supply, in other words, when the main system power supply 2 is powered down, the power supply of the refrigeration apparatus 1 may be powered down, and may also work normally.
In an embodiment, the controller 13 is specifically configured to obtain a start timestamp and an end timestamp of the power outage time period, obtain the temperature information collection times accumulated in the start timestamp as a first count value, obtain the temperature information collection times accumulated in the end timestamp as a second count value, and determine a difference between the second count value and the first count value as the number of the temperature information in the power outage time period. Optionally, the controller 13 is further configured to, when the temperature sensor 11 collects temperature information, accumulate the current temperature information collection times according to the temperature information collected by the temperature sensor 11. The specific process of the controller 13 for determining the amount of the temperature information in the power-off period may refer to 230 in the corresponding embodiment of fig. 2, which is not described herein again.
In an embodiment, the controller 13 is specifically configured to determine the abnormal time of the refrigeration apparatus 1 according to the number of the temperature information collected by the temperature sensor 11, the frequency of the collection cycle, and the duration of the preset time period. Specifically, the controller 13 is specifically configured to calculate the number of the acquired temperature information, the frequency of the acquisition cycle, and the duration of the preset time period based on an abnormal time formula, so as to obtain the abnormal time of the refrigeration apparatus 1; wherein, the abnormal time formula is as follows: t is1T-n/f; wherein, T1Refers to the abnormal time of the refrigeration apparatus 1, T refers to the duration of a preset time period, n refers to the number of collected temperature information, and f refers to the frequency of the collection cycle. The specific process of the controller 13 for determining the abnormal time of the refrigeration apparatus 1 can be referred to as 240 in the above embodiment corresponding to fig. 2, and will not be described herein again.
Further, the sample analyzer 200 further comprises an alarm device 3 electrically connected to the controller 13, and the controller 13 is further configured to determine that the refrigeration device 1 is in a normal operation state if the abnormal time of the refrigeration device 1 is zero; the controller 13 is further configured to control the alarm device 3 to output alarm information if the abnormal time of the refrigeration apparatus 1 is greater than zero. In particular, the alarm device 3 may be a buzzer. When the abnormal time of the refrigeration apparatus 1 is greater than zero, the alarm device 3 makes a sound to remind the user that the refrigeration apparatus 1 is abnormal. The specific process of the controller 13 for controlling the alarm device 3 to output the alarm information may refer to 250 in the embodiment corresponding to fig. 2, which is not described herein again. Of course, in other embodiments, the alarm device 3 may also be an LED lamp. When the abnormal time of the refrigeration device 1 is greater than zero, the alarm device 3 emits light to remind a user that the refrigeration device 1 is abnormal.
The sample analyzer 200 provided in the embodiment of the present application does not increase hardware when the main system power supply 2 and the refrigeration apparatus 1 are not synchronously powered off, and accurately obtains the abnormal time of the refrigeration apparatus 1 within the power-off time period of the main system power supply 2, thereby providing a monitoring method of the refrigeration apparatus 1 capable of monitoring whether the refrigeration apparatus 1 is abnormally operated.
Further, here, it is to be noted that: an embodiment of the present invention further provides a computer-readable storage medium, where a computer program executed by the aforementioned data processing apparatus is stored in the computer-readable storage medium, and the computer program includes program instructions, and when the processor executes the program instructions, the description of the data processing method in the embodiment corresponding to any one of fig. 1 to fig. 2 can be performed, so that details are not repeated here. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in the embodiments of the computer-readable storage medium according to the present invention, reference is made to the description of the method embodiments of the present invention.
The features mentioned above in the description, the claims and the drawings can be combined with one another in any desired manner, insofar as they are of significance within the scope of the application.
The foregoing is a preferred embodiment of the present application, and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications are also considered as the protection scope of the present application.

Claims (15)

1. A method of monitoring a refrigeration device for use in a sample analyzer having a refrigeration device, comprising:
acquiring temperature information of the refrigerating device in a preset acquisition cycle;
storing the collected temperature information;
acquiring the quantity of temperature information acquired in a preset time period;
and determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information.
2. The method of claim 1, wherein the sample analyzer further comprises a main system power supply; the step of "acquiring the quantity of the temperature information acquired in the preset time period" includes:
acquiring a power-off time period of the main system power supply;
and counting the quantity of the temperature information in the power-off time period.
3. The method according to claim 2, wherein counting the number of temperature information during the power-off period comprises:
acquiring a starting time stamp and an ending time stamp of the power-off time period;
acquiring the accumulated temperature information acquisition times of the initial timestamp as a first count value;
acquiring the accumulated temperature information acquisition times of the end timestamp as a second count value;
and determining the quantity of the temperature information in the power-off time period according to the difference value of the second counting value and the first counting value.
4. The method of claim 3, further comprising:
and when the temperature information is acquired, accumulating the current temperature information acquisition times according to the acquired temperature information, and storing the acquisition time stamp aiming at the temperature information and the accumulated temperature information acquisition times in a correlation manner.
5. The method as claimed in claim 1, wherein the determining of the abnormal time of the cooling device according to the amount of the collected temperature information includes:
and determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information, the frequency of the collection period and the duration of a preset time period.
6. The method as claimed in claim 5, wherein the step of determining the abnormal time of the refrigerating device according to the number of the collected temperature information, the frequency of the collection period and the duration of the preset time period comprises the following steps:
calculating the quantity of the collected temperature information, the frequency of a collection period and the duration of a preset time period based on an abnormal time formula to obtain the abnormal time of the refrigerating device; wherein the anomaly time formula is: t is1T-n/f; wherein, T1Is the abnormal time of the refrigeration device, T is the duration of the preset time period, n is the number of collected temperature information, and f is the frequency of the collection cycle.
7. The method of claim 1, further comprising:
if the abnormal time of the refrigerating device is zero, determining that the refrigerating device is in a normal running state;
and if the abnormal time of the refrigerating device is greater than zero, outputting alarm information.
8. A sample analyzer having a refrigeration device, wherein a temperature sensor is disposed within the refrigeration device, the sample analyzer further comprising a controller electrically connected to the temperature sensor, and a memory electrically connected to the controller;
the temperature sensor is used for acquiring temperature information in a preset acquisition period;
the memory is used for storing the temperature information acquired by the temperature sensor;
the controller is used for determining the abnormal time of the refrigerating device according to the quantity of the collected temperature information.
9. The sample analyzer of claim 8, further comprising a main system power supply, wherein the main system power supply and the cooling device are not synchronized in power down, and the controller is specifically configured to obtain a power down period of the main system power supply, and count the amount of temperature information during the power down period.
10. The sample analyzer of claim 9, wherein the controller is configured to obtain a start time stamp and an end time stamp of the power-off period, obtain a temperature information collection count accumulated at the start time stamp as a first count value, obtain a temperature information collection count accumulated at the end time stamp as a second count value, and determine a difference between the second count value and the first count value as the amount of temperature information in the power-off period.
11. The sample analyzer as claimed in claim 10, wherein the controller is further configured to accumulate the current temperature information collection times according to the temperature information collected by the temperature sensor when the temperature sensor collects the temperature information, and store the collection time stamp of the temperature information in association with the accumulated temperature information collection times.
12. The sample analyzer as claimed in claim 1, wherein the controller is specifically configured to determine the abnormal time of the cooling device according to the number of temperature information collected by the temperature sensor, the frequency of the collection cycle, and the duration of a preset time period.
13. The sample analyzer of claim 12, wherein the controller is specifically configured to calculate the number of the collected temperature information, the frequency of the collection cycle, and the duration of a preset time period based on an abnormal time formula to obtain the abnormal time of the refrigeration device; wherein the anomaly time formula is: t is1T-n/f; wherein, T1Is the abnormal time of the refrigerating device, T is the duration of the preset time period, and n is the collected temperatureThe amount of degree information, f, refers to the frequency of the acquisition period.
14. The sample analyzer of claim 8 further comprising an alarm device electrically connected to the controller, the controller further configured to determine that the cooling device is in a normal operating state if the abnormal time of the cooling device is zero; the controller is also used for controlling the alarm device to output alarm information if the abnormal time of the refrigerating device is greater than zero.
15. A computer storage medium, characterized in that it stores a program which, when executed, comprises the steps of any one of claims 1 to 7.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3128697A1 (en) * 1981-07-21 1983-02-10 Krönert Elektro GmbH & Co KG, 5880 Lüdenscheid Method for monitoring for power failure in mains-powered freezers
JPH08178499A (en) * 1994-12-27 1996-07-12 Matsushita Refrig Co Ltd Refrigerator
JPH08303929A (en) * 1995-05-12 1996-11-22 Matsushita Refrig Co Ltd Refrigerator
US6593766B1 (en) * 1998-10-08 2003-07-15 Wrap Spa Method for estimating the duration of the interruptions in the supply from the electric mains in an electric apparatus having an electronic control
CN102192993A (en) * 2010-03-12 2011-09-21 希森美康株式会社 Sample analyzer
CN102192992A (en) * 2010-03-12 2011-09-21 希森美康株式会社 Sample analyzer and non-transitory storage medium
CN205103263U (en) * 2015-10-28 2016-03-23 四川迈克生物医疗电子有限公司 Reagent storehouse device and sample analysis appearance
GB201620442D0 (en) * 2016-12-01 2017-01-18 Drayson Tech (Europe) Ltd Method and apparatus for improving energy efficiency of sensing technology
CN207262764U (en) * 2017-06-05 2018-04-20 深圳迈瑞生物医疗电子股份有限公司 Temperature of reagent control device and sample analyser
WO2018168077A1 (en) * 2017-03-15 2018-09-20 オムロン株式会社 Distribution network monitoring system and distribution network monitoring device
US20210215419A1 (en) * 2017-07-20 2021-07-15 Guido Dalmolin System, Method, and Apparatus for Monitoring Refrigeration Units

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3128697A1 (en) * 1981-07-21 1983-02-10 Krönert Elektro GmbH & Co KG, 5880 Lüdenscheid Method for monitoring for power failure in mains-powered freezers
JPH08178499A (en) * 1994-12-27 1996-07-12 Matsushita Refrig Co Ltd Refrigerator
JPH08303929A (en) * 1995-05-12 1996-11-22 Matsushita Refrig Co Ltd Refrigerator
US6593766B1 (en) * 1998-10-08 2003-07-15 Wrap Spa Method for estimating the duration of the interruptions in the supply from the electric mains in an electric apparatus having an electronic control
CN102192993A (en) * 2010-03-12 2011-09-21 希森美康株式会社 Sample analyzer
CN102192992A (en) * 2010-03-12 2011-09-21 希森美康株式会社 Sample analyzer and non-transitory storage medium
CN205103263U (en) * 2015-10-28 2016-03-23 四川迈克生物医疗电子有限公司 Reagent storehouse device and sample analysis appearance
GB201620442D0 (en) * 2016-12-01 2017-01-18 Drayson Tech (Europe) Ltd Method and apparatus for improving energy efficiency of sensing technology
WO2018168077A1 (en) * 2017-03-15 2018-09-20 オムロン株式会社 Distribution network monitoring system and distribution network monitoring device
CN207262764U (en) * 2017-06-05 2018-04-20 深圳迈瑞生物医疗电子股份有限公司 Temperature of reagent control device and sample analyser
US20210215419A1 (en) * 2017-07-20 2021-07-15 Guido Dalmolin System, Method, and Apparatus for Monitoring Refrigeration Units

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