Sample library-oriented equipment standardization management method and system

Abstract

The invention discloses a sample library-oriented equipment standardization management method and system, and the method comprises the steps: adding an ultralow temperature environment sensor for a scene of a sample library of a disease control center, and obtaining sample library equipment; and constructing a data model based on the data of the sample library equipment to obtain a first data model comprising equipment information required by operation and maintenance, a second data model comprising environment information required by sample management and a third data model comprising state information required by sample management. The system comprises an equipment adding unit and a data modeling unit. According to the invention, the equipment is managed according to the same standard, and the requirement of standardized management in a specific scene is met. The method can be widely applied to the field of equipment management.

Description

Technical Field

[0001] The present invention relates to the field of equipment management, and in particular to a method and system for equipment standardization management oriented to a sample library. Background Art

[0002] At present, in the era of big data, related industries cannot do without the support of high-quality samples. As the demand for samples increases, laboratory sample management becomes increasingly difficult. There are many types of samples, and the samples are difficult to locate, clean, and trace, making it difficult for laboratories to effectively manage samples. In some specific scenarios, it is necessary to pay close attention to environmental information, such as the sample library of the CDC. Due to the extremely high temperature requirements of the samples and the brand differences of the equipment, it is necessary to add independent environmental sensors and standardized management in this scenario. Summary of the invention

[0003] In view of this, in order to solve the technical problem that the existing device management method of the sample library cannot manage the devices with the same standard, in a first aspect, the present invention proposes a device standardization management method for the sample library, comprising:

[0004] For the CDC sample library scenario, an ultra-low temperature environmental sensor is added to obtain the sample library equipment;

[0005] A data model is constructed based on the data of the sample library device to obtain a first data model including device information required for operation and maintenance, a second data model including environmental information required for sample management, and a third data model including status information required for sample management.

[0006] In some embodiments, it also includes:

[0007] Perform SM2 encryption on the data of the sample library device.

[0008] It should be noted that this encryption method can be applied to all processes in this solution that can generate data.

[0009] In some embodiments, it also includes:

[0010] Collect temperature and humidity data based on ultra-low temperature environment sensors;

[0011] The temperature data and the humidity data are transmitted to a smoothing operation queue for calculation, and instantaneous data interference is filtered out to obtain smoothed temperature and humidity.

[0012] In some embodiments, it also includes:

[0013] The first data model is provided to equipment operation and maintenance personnel, including equipment ID, equipment type, manufacturer information, assembly time, administrator, classroom, location information and equipment name; the second data model is provided to sample management personnel, including equipment ID, online time, operating status, temperature and humidity; the third data model is provided to the sample management information center, including equipment online status, operating status, temperature alarm status, humidity alarm status and access control status.

[0014] In a second aspect, the present invention further provides a device standardization management system for a sample library, comprising:

[0015] Equipment expansion unit, for the CDC sample library scenario, adds ultra-low temperature environment sensors to obtain sample library equipment;

[0016] The data modeling unit constructs a data model based on the data of the sample library device to obtain a first data model including device information required for operation and maintenance, a second data model including environmental information required for sample management, and a third data model including status information required for sample management.

[0017] Based on the above scheme, the present invention provides a device standardization management method and system for sample libraries. By adding a set of independent environmental sensors, it can avoid the situation where the sample library equipment itself fails or the environment temperature, humidity, etc. are set incorrectly due to human error, which cannot be discovered in time, resulting in the failure of samples. Through the edge computing module, the operation data and surrounding environment data of the equipment are re-abstracted and modeled. After completing the standardization of equipment data, the decoupling between equipment and application services can be achieved, reducing the impact of equipment brand differences on the operation of the daily information management software of the sample library. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a device standardization management method for a sample library according to the present invention;

[0019] Figure 2 It is a structural block diagram of a device standardization management system for a sample library according to the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] It should be noted that, for the convenience of description, only the parts related to the relevant invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0022] It should be understood that the "system", "device", "unit" and / or "module" used in this application is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the word can be replaced by other expressions.

[0023] As shown in this application and claims, unless the context clearly indicates an exception, the words "a", "an", "a kind" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements. The elements defined by the sentence "includes a..." do not exclude the existence of other identical elements in the process, method, commodity or device that includes the elements.

[0024] In the description of the embodiments of the present application, "plurality" means two or more than two. The following terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0025] In addition, flow charts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, the various steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or a certain step or several steps of operations may be removed from these processes.

[0026] Reference Figure 1 , is a flow chart of an optional example of a device standardization management method for a sample library proposed in the present invention. The method can be applied to computer devices. The standardization management proposed in this embodiment may include but is not limited to the following steps:

[0027] Step S1: Add environmental sensors according to scene requirements to obtain sample library equipment;

[0028] Step S2: Perform data modeling on the sample library device to obtain a first data model, a second data model and a third data model.

[0029] In some feasible embodiments, the step S1 specifically includes:

[0030] S1.1. For the sample library of the Center for Disease Control and Prevention, add ultra-low temperature environmental sensors to the sample storage device.

[0031] The ultra-low temperature environment sensor communicates with the edge computing module through the 485 interface based on the MODBUS protocol, and reports the temperature and humidity inside the storage device in real time (at intervals of 1 second).

[0032] S1.2, collecting temperature data and humidity data based on the ultra-low temperature environment sensor;

[0033] S1.3. Calculate the temperature data and the humidity data based on a smoothing algorithm to obtain smoothed temperature and humidity.

[0034] S1.3.1. Analyze and process the collected temperature data through the temperature smoothing algorithm, filter out instantaneous data interference (current fluctuations or door switching, etc.), and form a reliable statistical temperature. The steps of the temperature smoothing algorithm are as follows:

[0035] 1) Store the temperature in the temperature smoothing operation queue:

[0036] QT

[19] =T c

[0037] QT is the temperature smoothing operation queue, which stores 20 data.

[0038] T c It is the data value reported by the current temperature sensor;

[0039] 2) Calculate the maximum and minimum values ​​of the current QT queue;

[0040] 3) Calculate the smoothed temperature value

[0041]

[0042] Among them, T out represents the smoothed temperature, n represents the length of the current temperature smoothing queue, T max Indicates the maximum temperature in the smoothing operation queue, T min Indicates the minimum temperature in the smoothing operation queue.

[0043] 4) Q T The earliest entry in the queue is popped out

[0044] Q T .pop(0);

[0045] The effect achieved by using this temperature smoothing algorithm. When the sample storage device opens the door or a new external sample is added near the temperature sensor, the temperature sensor will experience a sudden change in temperature, but in fact the old stored samples do not have a sudden change in temperature. Applying this algorithm can smooth the curve and make it close to the actual temperature change of the actual sample.

[0046] S1.3.2. Analyze and process the collected humidity data through the humidity smoothing algorithm, filter out instantaneous data interference (current fluctuations or environmental fluctuations caused by new samples), and form reliable statistical humidity. The steps of the humidity smoothing algorithm are as follows:

[0047] 1) Store the humidity in the humidity smoothing operation queue:

[0048] QH

[19] =H c ;

[0049] QH is the humidity smoothing operation queue, which stores 20 data; H c It is the data value reported by the current humidity sensor.

[0050] 2) Calculate the maximum and minimum values ​​of the current QH queue

[0051] 3) Calculate the smoothed humidity value

[0052]

[0053] Among them, H out represents the smoothed humidity, n represents the length of the current humidity smoothing queue, H max Indicates the maximum humidity in the smoothing operation queue, H min Indicates the minimum humidity value in the smoothing operation queue.

[0054] 4) Pop out the earliest data in the QH queue

[0055] QH.pop(0);

[0056] The effect achieved by using this humidity smoothing algorithm. When a new external sample is added near the humidity sensor of the sample storage device, the humidity sensor will change suddenly, but in fact the humidity of the old stored samples does not change suddenly. Applying this algorithm, the curve can be smoothed and close to the actual humidity change of the actual sample.

[0057] In some feasible embodiments, the step S2 specifically includes:

[0058] S2.1. Construct the profile standard data model of the equipment. The profile standard data model is mainly provided to equipment operation and maintenance personnel, including equipment manufacturer information, management personnel information, etc. The specific structure is shown in Table 1.

[0059] Table 1 Contents of the profile standard data model

[0060]

[0061]

[0062] S2.2. Construct the properties standard data model of the equipment. The properties standard data model is mainly used by sample management personnel, including the real-time temperature and humidity of the sample library, the ambient temperature of sample delivery, the entry of outsiders, the total time of sample delivery, etc. The specific structure is shown in Table 2.

[0063] Table 2 Contents of the properties standard data model

[0064] Serial number name Abbreviation type illustrate 1 Device ID DEVID 64-bit string Unique code 2 Online time RUNNING_TIME 3 Running status STATUS 4 temperature TEMP 5 humidity HAMI

[0065] S2.3. Construct the event standard data model of the equipment. The event standard data model is mainly provided for the sample management information system, including the online and offline status of the sample equipment, the running and stopped status of the sample equipment, temperature alarms, humidity alarms, abnormal personnel entry, etc. The specific structure is shown in Table 3.

[0066] Table 3 Contents of event standard data model

[0067] serial number title Numeric describe 1 Online 1 1 online; 0 offline 2 Running 1 1 is running, 0 is stopped 3 Temp 1 1Temperature alarm 4 Hami 1 1Humidity alarm 5 DOOR 1 1 door not closed

[0068] In some feasible embodiments, it also includes:

[0069] Encrypt the data of the sample library equipment to ensure that the sample data will not be obtained by other third parties in the future. The sample data is transformed and encrypted using the national secret SM2 algorithm. The specific steps are as follows:

[0070] 1) Convert sample data into a string

[0071] DATA_STRINGorigin=TRANSFORM_2_STRING(Dataorigin)

[0072] Among them, TRANSFORM_2_STTING: is a method to convert raw device data into string device data; Dataorigin: raw device data; DATA_STRINGorigin: string device data.

[0073] 2) Get the SM2 private key through the device ID

[0074] KEY=GET_SM2_KEY_BY_HTTPS(DEVID)

[0075] Among them, KEY: SM2 encrypted private key; DEVID: is the unique device ID of the sample library device; GET_SM2_KEY_BY_HTTPS: obtains the device key of DEVID through HTTPS; the system changes the key every 24 hours.

[0076] 3)SM2 encryption:

[0077] DATASM2=National Secret SM2 encryption (DATA_STRING origin, KEY); DATASM2 National Secret SM2 encrypted data.

[0078] The strength of the national SM2 algorithm is comparable to that of the internationally used RSA algorithm. Both are asymmetric encryption methods. It takes a long time and is uncertain to crack them with brute force on existing computer systems. This algorithm can achieve complete encryption of data by regularly changing the key, avoiding the danger of sensitive data leakage from samples. Due to the use of encrypted data streams, even if the sample library is hacked, it is impossible to crack the password within 24 hours.

[0079] 4) Transmit data via HTTPS

[0080] The above data is transmitted to the upper-layer application via the HTTPS client.

[0081] The present invention adds independent environmental sensors and applies them to equipment such as sample library storage, retrieval and delivery, and finally realizes a method of standardized data integration of "CDC sample library" equipment through an edge computing module.

[0082] like Figure 2 As shown, a device standardization management system for a sample library includes:

[0083] The equipment adding unit is used to add environmental sensors according to scene requirements to obtain sample library equipment;

[0084] A data modeling unit is used to perform data modeling on the sample library device to obtain a first data model, a second data model and a third data model; the first data model includes device information required for operation and maintenance; the second data model includes environmental information required for sample management; and the third data model includes status information required for sample management.

[0085] The contents of the above method embodiments are all applicable to the present system embodiments. The functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0086] A device for standardizing management of equipment for sample libraries:

[0087] at least one processor;

[0088] at least one memory for storing at least one program;

[0089] When the at least one program is executed by the at least one processor, the at least one processor implements the above-mentioned device standardization management method for a sample library.

[0090] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0091] A storage medium stores instructions executable by a processor, wherein the instructions executable by the processor are used to implement the above-mentioned device standardization management method for a sample library when executed by the processor.

[0092] The contents of the above method embodiments are all applicable to the present storage medium embodiments. The functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0093] The above is a specific description of the preferred implementation of the present invention, but the invention is not limited to the embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A device standardization management method for a sample library, characterized in that: The following steps are involved: According to the scene requirements, environmental sensors are added to obtain sample library equipment; Performing data modeling on the sample library device to obtain a first data model, a second data model, and a third data model; The first data model includes equipment information required for operation and maintenance; The second data model includes environmental information required for sample management; The third data model includes state information required for sample management.

2. The device standardization management method for a sample library according to claim 1, characterized in that: Also includes: The data of the sample library device is encrypted.

3. The device standardization management method for a sample library according to claim 1, characterized in that: The step of adding environmental sensors according to scene requirements to obtain a sample library device also includes: Collecting temperature data and humidity data based on the environmental sensor; The temperature data and the humidity data are calculated based on a smoothing algorithm to obtain smoothed temperature and humidity.

4. The device standardization management method for a sample library according to claim 3, characterized in that: The smoothing calculation formula for temperature data is as follows: Among them, T out represents the smoothed temperature, n represents the length of the current temperature smoothing queue, T max Indicates the maximum temperature in the smoothing operation queue, T min Indicates the minimum temperature in the smoothing operation queue.

5. The device standardization management method for a sample library according to claim 4, characterized in that: The first data model includes device ID, device type, manufacturer information, assembly time, administrator, the classroom, location information and device name; The second data model includes device ID, online time, operating status, temperature and humidity; The third data model includes device online status, operating status, temperature alarm status, humidity alarm status and access control status.

6. The device standardization management method for a sample library according to claim 5, characterized in that: The step of encrypting the data of the sample library device specifically includes: Convert the data of the sample library device into a character string; Obtain the SM2 private key through the device ID and perform SM2 encryption to obtain encrypted data.

7. The device standardization management method for a sample library according to claim 5, characterized in that: The data and encrypted data of the sample library device are transmitted via HTTPS.

8. A device standardization management system for a sample library, characterized in that: include: The equipment adding unit is used to add environmental sensors according to scene requirements to obtain sample library equipment; A data modeling unit is used to perform data modeling on the sample library device to obtain a first data model, a second data model and a third data model; the first data model includes device information required for operation and maintenance; the second data model includes environmental information required for sample management; and the third data model includes status information required for sample management.

9. A device standardization management device for a sample library, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the device standardization management method for a sample library as described in any one of claims 1 to 7.

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