阅读说明：本技术 一种检测设备的数据处理方法 (Data processing method of detection equipment ) 是由 舒芹 赵畅 张雪娇 赵愿安 于 2020-08-13 设计创作，主要内容包括：一种检测设备的数据处理方法,包括：S1、将各检测设备的识别码预存到分析系统中,在分析系统中根据识别码将检测设备划分为不同的群组；并将各检测设备、分析系统加入到认证链网络中；S2、分析系统从不同群组中随机抽取识别码,并根据抽取的识别码将测试指令发送到对应检测设备；在接收到测试指令后,相应检测设备对预先确定的组分进行检测,并将得到的第一检测数据发送到分析系统中进行标准化分析生成参数对照模型；S3、将待测生化物质送样到检测设备中检测,并将得到的第二检测数据发送到分析系统；分析系统通过参数对照模型判断第二检测数据的波动是否大于损耗预期值。(A data processing method of a detection device comprises the following steps: s1, pre-storing the identification codes of all detection devices into an analysis system, and dividing the detection devices into different groups in the analysis system according to the identification codes; adding each detection device and each analysis system into the authentication chain network; s2, the analysis system randomly extracts identification codes from different groups and sends test instructions to corresponding detection equipment according to the extracted identification codes; after receiving the test instruction, detecting the predetermined component by corresponding detection equipment, and sending the obtained first detection data to an analysis system for standardized analysis to generate a parameter comparison model; s3, the biochemical substance to be detected is sent to the detection equipment for detection, and the obtained second detection data is sent to the analysis system; and the analysis system judges whether the fluctuation of the second detection data is greater than the expected loss value through the parameter comparison model.)

1. A data processing method of detection equipment is characterized by comprising the following steps:

s1, pre-storing the identification codes of all detection devices into an analysis system, and dividing the detection devices into different groups in the analysis system according to the identification codes; adding each detection device and each analysis system into the authentication chain network;

s2, the analysis system randomly extracts identification codes from different groups and sends test instructions to corresponding detection equipment according to the extracted identification codes; after receiving the test instruction, detecting the predetermined component by corresponding detection equipment, and sending the obtained first detection data to an analysis system for standardized analysis to generate a parameter comparison model;

s3, the biochemical substance to be detected is sent to the detection equipment for detection, and the obtained second detection data is sent to the analysis system; the analysis system judges whether the fluctuation of the second detection data is greater than the expected loss value or not through the parameter comparison model, determines that the second detection data of the biochemical substance to be detected accords with the expectation when the fluctuation of the second detection data is less than or equal to the expected loss value, and ends the process; when the loss is larger than the expected loss value, jumping to step S4;

s4, sending the identification code corresponding to the detection equipment with the loss expected value larger than the loss expected value to an analysis system, marking the state of the detection equipment of the corresponding batch by the analysis system according to the group where the identification code is located, and adjusting the preset model of the marked detection equipment; and writing the whole detection process data into the authentication chain network.

2. The data processing method of a test apparatus according to claim 1,

the step S2, in which the corresponding detection device detects the predetermined component and sends the obtained first detection data to the analysis system for standardized analysis to generate the parameter comparison model, includes:

pre-selecting a predetermined component for standardized analysis, wherein the predetermined component is a standard biochemical substance component, and configuring the sample amount of the standard biochemical substance component; configuring operation parameter data of corresponding detection equipment, starting the detection equipment to detect standard biochemical substance components, and sending first detection data obtained by detection to an analysis system;

the analysis system performs a standardized analysis on the first detection data and generates a parameter comparison model as follows:

whereinUsed to indicate the degree of dispersion of standard biochemical components in the column,

3. The data processing method of the inspection apparatus according to claim 2, wherein the step S3 includes:

preparing the sample volume of the biochemical substance to be detected; configuring operation parameter data of corresponding detection equipment, starting the detection equipment to detect the biochemical substances to be detected, and sending second detection data obtained by detection to an analysis system;

the analysis system calculates the second detection data according to the parameter comparison model to obtain an actual measurement discrete fluctuation loss value of the biochemical substance to be detected in the detection equipment; judging whether the difference value between the actually measured discrete fluctuation loss value and the standard discrete fluctuation loss function value is larger than a loss expected value or not, determining that second detection data of the biochemical substance to be detected meet the expectation when the difference value is smaller than or equal to the loss expected value, and ending the process; if the loss is greater than the expected loss value, the process proceeds to step S4.

4. The data processing method of a test apparatus according to claim 3,

the adjusting the preset model of the labeled detection device in step S4 includes:

and configuring the sample volume of the biochemical substance to be detected under different step concentrations, calculating different actually-measured discrete fluctuation loss values of the biochemical substance to be detected in the detection equipment through a parameter comparison model, obtaining the change information of the equipment disturbance factor, and adjusting the equipment disturbance factor.

5. The data processing method of a test apparatus according to claim 4,

the writing of the entire detection process data into the authentication chain network in step S4 includes:

and writing second detection data of the biochemical substances to be detected under different concentrations and the equipment disturbance factor information data before and after adjustment into the authentication chain network.

Technical Field

The invention relates to the technical field of data processing in instruments, in particular to a data processing method of detection equipment.

Background

Biochemical analyzers, also commonly referred to as biochemics, are instruments that use the principle of optoelectric colorimetry to measure a particular chemical component in a body fluid. Because of its fast measuring speed, high accuracy and small reagent consumption, it is widely used in hospitals, epidemic prevention stations and family planning service stations.

Disclosure of Invention

In view of the above, the present invention provides a data processing method for a detection device, which includes the following steps:

s1, pre-storing the identification codes of all detection devices into an analysis system, and dividing the detection devices into different groups in the analysis system according to the identification codes; adding each detection device and each analysis system into the authentication chain network;

s2, the analysis system randomly extracts identification codes from different groups and sends test instructions to corresponding detection equipment according to the extracted identification codes; after receiving the test instruction, detecting the predetermined component by corresponding detection equipment, and sending the obtained first detection data to an analysis system for standardized analysis to generate a parameter comparison model;

s3, the biochemical substance to be detected is sent to the detection equipment for detection, and the obtained second detection data is sent to the analysis system; the analysis system judges whether the fluctuation of the second detection data is greater than the expected loss value or not through the parameter comparison model, determines that the second detection data of the biochemical substance to be detected accords with the expectation when the fluctuation of the second detection data is less than or equal to the expected loss value, and ends the process; when the loss is larger than the expected loss value, jumping to step S4;

s4, sending the identification code corresponding to the detection equipment with the loss expected value larger than the loss expected value to an analysis system, marking the state of the detection equipment of the corresponding batch by the analysis system according to the group where the identification code is located, and adjusting the preset model of the marked detection equipment; and writing the whole detection process data into the authentication chain network.

In the data processing method of the inspection equipment according to the present invention,

the step S2, in which the corresponding detection device detects the predetermined component and sends the obtained first detection data to the analysis system for standardized analysis to generate the parameter comparison model, includes:

pre-selecting a predetermined component for standardized analysis, wherein the predetermined component is a standard biochemical substance component, and configuring the sample amount of the standard biochemical substance component; configuring operation parameter data of corresponding detection equipment, starting the detection equipment to detect standard biochemical substance components, and sending first detection data obtained by detection to an analysis system;

the analysis system performs a standardized analysis on the first detection data and generates a parameter comparison model as follows:

wherein, in the step (A),a value representing a standard discrete fluctuating loss function of a standard biochemical constituent in a test device; wherein the content of the first and second substances,

wherein

Used to indicate the degree of dispersion of standard biochemical components in the column,is a standard biochemical substance groupThe dispersion function of the components, T is the continuous sample introduction time of the standard biochemical substance components,

is the instantaneous velocity of the mobile phase,

is the longitudinal diffusion coefficient of the standard biochemical substance component in the column,is a Laplace transform variable;is a limit function; z is the longitudinal length in the column, G is the equilibrium parameter,

is a function of pairThe maximum likelihood estimate of (a) is,

is the plant disturbance factor.

In the data processing method of the inspection equipment according to the present invention, the step S3 includes:

preparing the sample volume of the biochemical substance to be detected; configuring operation parameter data of corresponding detection equipment, starting the detection equipment to detect the biochemical substances to be detected, and sending second detection data obtained by detection to an analysis system;

the analysis system calculates the second detection data according to the parameter comparison model to obtain an actual measurement discrete fluctuation loss value of the biochemical substance to be detected in the detection equipment; judging whether the difference value between the actually measured discrete fluctuation loss value and the standard discrete fluctuation loss function value is larger than a loss expected value or not, determining that second detection data of the biochemical substance to be detected meet the expectation when the difference value is smaller than or equal to the loss expected value, and ending the process; if the loss is greater than the expected loss value, the process proceeds to step S4.

In the data processing method of the inspection equipment according to the present invention,

the adjusting the preset model of the labeled detection device in step S4 includes:

and configuring the sample volume of the biochemical substance to be detected under different step concentrations, calculating different actually-measured discrete fluctuation loss values of the biochemical substance to be detected in the detection equipment through a parameter comparison model, obtaining the change information of the equipment disturbance factor, and adjusting the equipment disturbance factor.

In the data processing method of the inspection equipment according to the present invention,

the writing of the entire detection process data into the authentication chain network in step S4 includes:

and writing second detection data of the biochemical substances to be detected under different concentrations and the equipment disturbance factor information data before and after adjustment into the authentication chain network.

Compared with the prior art, the data processing method of the detection equipment has the following advantages: the detection precision of the detection equipment in different batches is ensured by randomly extracting the identification codes from different groups, sending a test instruction to the corresponding detection equipment according to the extracted identification codes and judging whether the detection result of the biochemical substance to be detected is expected or not through the parameter comparison model, and the analysis system marks the state of the detection equipment in the corresponding batch according to the group where the identification codes are located and adjusts the preset model of the marked detection equipment, so that the detection precision of the detection equipment can be calibrated; the whole detection process data is written into the authentication chain network, so that the safety and the tamper resistance of the detection equipment during delivery and detection and verification process data are ensured, and the authenticity of the delivery and detection and verification process data can be verified during subsequent backtracking of specific information of the delivery and detection and verification processes of the detection equipment.

Drawings

Fig. 1 is a flowchart of a data processing method of a detection device according to an embodiment of the present invention.

Detailed Description

As shown in fig. 1, in view of this, in an embodiment of the present invention, the present invention provides a data processing method for a detection device, which includes the following steps:

s1, pre-storing the identification codes of all detection devices into an analysis system, and dividing the detection devices into different groups in the analysis system according to the identification codes; and adding each detection device and each analysis system into the authentication chain network.

Optionally, the certification chain network is in a block chain form, and each detection device and analysis system of different manufacturers are connected to the block chain network.

S2, the analysis system randomly extracts identification codes from different groups and sends test instructions to corresponding detection equipment according to the extracted identification codes; after receiving the test instruction, detecting the predetermined component by corresponding detection equipment, and sending the obtained first detection data to an analysis system for standardized analysis to generate a parameter comparison model; the predetermined component may be a substance determined by the test results, such as pure methane, pure toluene, or a substance determined by concentration, etc.

Alternatively,

the step S2, in which the corresponding detection device detects the predetermined component and sends the obtained first detection data to the analysis system for standardized analysis to generate the parameter comparison model, includes:

pre-selecting a predetermined component for standardized analysis, wherein the predetermined component is a standard biochemical substance component, and configuring the sample amount of the standard biochemical substance component; configuring operation parameter data of corresponding detection equipment, starting the detection equipment to detect standard biochemical substance components, and sending first detection data obtained by detection to an analysis system; standard biochemical composition refers to a defined concentration of a substance, such as 50% methane, or 20% methane. The operation parameter data of the detection equipment such as current, voltage value, rotating speed, internal temperature, humidity and the like.

The analysis system performs a standardized analysis on the first detection data and generates a parameter comparison model as follows:

wherein, in the step (A),a value representing a standard discrete fluctuating loss function of a standard biochemical constituent in a test device; based on different chemical property laws of substances, different biochemical substances have discrete fluctuation in the detection device, and the discrete fluctuation is used for optimizing directional fluctuation according to the separation degree of the substances. Wherein the content of the first and second substances,

whereinUsed to indicate the degree of dispersion of standard biochemical components in the column,

is a dispersion function of the standard biochemical substance components, T is the continuous sample injection time of the standard biochemical substance components,is the instantaneous velocity of the mobile phase,

is the longitudinal diffusion coefficient of the standard biochemical substance component in the column,is a Laplace transform variable;

is a limit function; z is the longitudinal length in the column (column means chromatography column), G is the equilibrium parameter used to represent an estimate of the overall parameters of immobilization, space unavailable in the chromatography column, adsorption rate,is a function of pair

The maximum likelihood estimate of (a) is,the device disturbance factor is used for adjusting the detection device, and the value of the device disturbance factor is an empirical value representing the inherent attribute influence of the device. The longitudinal direction refers to a longitudinal coordinate value in a coordinate system of a chromatographic peak.The whole of the two items are used for expressing the dispersion of the standard biochemical substance components, and the dispersion of the standard biochemical substance components is obtained by solving the statistical moment of the chromatographic peak through different parameters by a formula.

The significance of implementing the step is as follows: the invention is not limited to that only the chromatographic wave peaks are compared in the detection of the existing detection equipment, and when the accuracy verification result is measured by the common separation degree, the separation degrees of a partial overlapping peak and a complete overlapping peak are always completely different, and the two targets are contradictoryThe device disturbance factors enable detection of each device to be more personalized, and the detection device is easy to adjust.

S3, the biochemical substance to be detected is sent to the detection equipment for detection, and the obtained second detection data is sent to the analysis system; the analysis system judges whether the fluctuation of the second detection data is greater than the expected loss value or not through the parameter comparison model, determines that the second detection data of the biochemical substance to be detected accords with the expectation when the fluctuation of the second detection data is less than or equal to the expected loss value, and ends the process; when the loss is larger than the expected loss value, jumping to step S4;

s4, sending the identification code corresponding to the detection equipment with the loss expected value larger than the loss expected value to an analysis system, marking the state of the detection equipment of the corresponding batch by the analysis system according to the group where the identification code is located, and adjusting the preset model of the marked detection equipment; and writing the whole detection process data into the authentication chain network.

The improvement motivation of the invention is that the quality of the biochemical analyzer detection equipment in different batches is uneven due to the process limitation and different proficiency of different workers of the existing biochemical analyzer detection equipment, so that the analysis precision of the biochemical analyzer is influenced. In the prior art, some self-checking methods for biochemical analyzers exist, but the methods usually carry out detection and check on a single biochemical analyzer and carry out detection in the biochemical analyzer, and the method cannot carry out verification and detection in batches in a large scale. And some manufacturers have insufficient self-checking precision, so that the detection precision of the product after leaving the factory is insufficient. In the embodiment of the invention, the biochemical analyzer mainly refers to a biochemical analyzer based on chromatographic analysis, and compared with the prior art, the data processing method of the detection device has the following advantages: the analysis system is set, the analysis system can be a third party mechanism independent of a manufacturer of the biochemical analyzer detection equipment, the detection precision of detection equipment in different batches is ensured by randomly extracting identification codes from different groups, sending a test instruction to corresponding detection equipment according to the extracted identification codes and judging whether the detection result of the biochemical substance to be detected accords with expectation through a parameter comparison model, and the analysis system marks the state of the detection equipment in the corresponding batch according to the group where the identification codes are located and adjusts the preset model of the marked detection equipment, so that the calibration of the detection precision of the detection equipment can be realized; the whole detection process data is written into the authentication chain network, so that the safety and the tamper resistance of the detection equipment during delivery and detection and verification process data are ensured, and the authenticity of the delivery and detection and verification process data can be verified during subsequent backtracking of specific information of the delivery and detection and verification processes of the detection equipment.

In the data processing method of the inspection equipment according to the present invention, the step S3 includes:

preparing the sample volume of the biochemical substance to be detected; configuring operation parameter data of corresponding detection equipment, starting the detection equipment to detect the biochemical substances to be detected, and sending second detection data obtained by detection to an analysis system;

the analysis system calculates the second detection data according to the parameter comparison model to obtain an actual measurement discrete fluctuation loss value of the biochemical substance to be detected in the detection equipment; judging whether the difference value between the actually measured discrete fluctuation loss value and the standard discrete fluctuation loss function value is larger than a loss expected value or not, determining that second detection data of the biochemical substance to be detected meet the expectation when the difference value is smaller than or equal to the loss expected value, and ending the process; if the loss is greater than the expected loss value, the process proceeds to step S4.

In the data processing method of the inspection equipment according to the present invention,

the adjusting the preset model of the labeled detection device in step S4 includes:

and configuring the sample volume of the biochemical substance to be detected under different step concentrations, calculating different actually-measured discrete fluctuation loss values of the biochemical substance to be detected in the detection equipment through a parameter comparison model, obtaining the change information of the equipment disturbance factor, and adjusting the equipment disturbance factor.

In the data processing method of the inspection equipment according to the present invention,

the writing of the entire detection process data into the authentication chain network in step S4 includes:

and writing second detection data of the biochemical substances to be detected under different concentrations and the equipment disturbance factor information data before and after adjustment into the authentication chain network.

Compared with the prior art, the data processing method of the detection equipment has the following advantages: the detection precision of the detection equipment in different batches is ensured by randomly extracting the identification codes from different groups, sending a test instruction to the corresponding detection equipment according to the extracted identification codes and judging whether the detection result of the biochemical substance to be detected is expected or not through the parameter comparison model, and the analysis system marks the state of the detection equipment in the corresponding batch according to the group where the identification codes are located and adjusts the preset model of the marked detection equipment, so that the detection precision of the detection equipment can be calibrated; the whole detection process data is written into the authentication chain network, so that the safety and the tamper resistance of the detection equipment in delivery and detection verification processes are ensured, and the authenticity of the data is ensured if the data needs to be traced later.

It is understood that various other changes and modifications may be made by those skilled in the art based on the technical idea of the present invention, and all such changes and modifications should fall within the protective scope of the claims of the present invention.