CN117076938B - Maximum sample number determining method, device and equipment - Google Patents
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Abstract
The application relates to the technical field of data processing, and provides a method, a device and equipment for determining the maximum sample number. The method comprises the following steps: acquiring a plurality of standard curves established by a plurality of preset detection devices, wherein each standard curve consists of different samples of the same series of standard products; according to the preset error, calculating the number of samples detected by each standard curve, then according to the number of samples of each standard curve, obtaining a concentration value corresponding to each sample in each standard curve, and finally according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset error, determining the maximum number of samples corresponding to the same series of standard products. According to the method, the maximum sample number can be accurately determined by directly calculating based on the detection data of the plurality of preset detection devices, a complex algorithm is not needed or a model is not needed to be built for calculating, errors caused by model calculation are avoided, the calculation efficiency can be improved, and the method has high practicability and operability.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, and a device for determining a maximum sample number.
Background
Clinical testing is an essential element in medical diagnosis, and provides critical diagnosis and treatment guidance information through analysis and measurement of biological specimens. However, since the same detection item can be detected by different detection methods, different detection reagents, different detection instruments and different detection personnel, there are various influencing factors on the detection result of the same detection item, and these factors and errors will cause inconsistent measurement results of the same index detected by different detection devices, which brings difficulty to comparison and interpretation of clinical results and limits comparability and consistency of results among different laboratories.
To solve this problem, in the prior art, measurement results generated by different laboratories or devices are unified to a standardized scale by adopting a statistical method, for example, methods of variance analysis, regression analysis and the like are adopted, but the preconditions of the method for data distribution and assumption are strict, if the data do not meet the preconditions, the result may be inaccurate, multiple comparison corrections need to be performed for complex experimental designs and multiple comparison projects, otherwise, false positive or false negative results may be caused, and the method only can process known data types and models, but cannot process unknown data types and models.
Disclosure of Invention
The invention aims to provide a method, a device and equipment for determining the maximum sample number, so as to calculate the sample number of each standard curve through a preset error, and determine the maximum sample number corresponding to the same series of standard products according to the difference value of the concentration values corresponding to the samples in any two standard curves and the preset error, thereby being convenient for unifying the measurement results on the standard scale.
In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:
in a first aspect, an embodiment of the present application provides a method for determining a maximum sample number, including:
obtaining standard curves established by a plurality of preset detection devices aiming at the same series of standard substances, and obtaining a plurality of standard curves, wherein the standard curves are established based on concentration values and luminous values of the standard substances;
calculating the number of samples of each standard curve according to a preset error;
acquiring a concentration value corresponding to each sample in each standard curve according to the number of samples of each standard curve;
and determining the maximum sample number corresponding to the same series of standard substances according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset error.
In an alternative embodiment, the calculating the number of samples of each standard curve according to the preset error includes:
determining an error range of a first value point according to the preset error and the first value point of each standard curve, wherein the first value point is the lowest detection lower limit of the plurality of preset detection devices for the standard curve;
determining a second value point according to the first value point and the error range of the first value point;
and determining the first value point as a first sample of each standard curve, and the second value point as a second sample of each standard curve, and sequentially executing until the maximum N samples of each standard curve are determined.
In an optional embodiment, the determining the second value point according to the first value point and the error range of the first value point includes:
determining a second point to be valued according to the first point to be valued and the error range of the first point to be valued;
and determining a second value point according to the second value point to be obtained and the preset error.
In an optional implementation manner, the determining the first value point as the first sample of each standard curve and the second value point as the second sample of each standard curve are sequentially performed until the maximum N samples of each standard curve are determined, including:
Determining an error range of the N-1 value point of the standard curve according to the preset error and the N-1 value point;
if the Nth value point of the standard curve is within the error range of the N-1 th value point, determining that the Nth value point does not belong to a sample of the standard curve;
and if the Nth value point of the standard curve is not in the error range of the N-1 th value point, determining the Nth value point as the last sample of the standard curve.
In an optional embodiment, the determining, according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset error, the maximum sample number corresponding to the same series of standard products includes:
detecting each sample of any two standard curves in the standard curves by any one of the plurality of preset detection devices to obtain concentration values of the plurality of samples;
determining whether a common sample exists among the plurality of samples according to the concentration value difference values of the plurality of samples and the preset error;
if the common sample exists, one common sample is reserved, and the maximum sample number corresponding to the same series of standard products is determined.
In an optional embodiment, the determining whether a common sample exists between the plurality of samples according to the concentration value difference values of the plurality of samples and the preset error includes:
sequentially calculating concentration value differences of adjacent samples according to the concentration values of the plurality of samples;
if the concentration value difference is within a preset difference range, selecting one of adjacent samples as the public sample;
if the common sample exists, one common sample is reserved, and the maximum sample number corresponding to the same series of standard products is determined, including:
subtracting the number of the common samples from the sum of the numbers of the plurality of samples to obtain the maximum number of samples corresponding to the same series of standard substances.
In an alternative embodiment, the method further comprises:
and if the common sample does not exist, taking the sum of the numbers of the plurality of samples as the maximum number of samples corresponding to the same series of standard substances.
In an optional embodiment, the plurality of preset detecting devices include a plurality of detecting devices with different models, and the obtaining a standard curve established by the plurality of preset detecting devices for the same series of standard products, to obtain a plurality of standard curves, includes:
And detecting the same series of standard products by adopting a plurality of preset detection devices with different models to obtain a plurality of corresponding different standard curves.
In a second aspect, embodiments of the present application further provide a maximum sample number determining apparatus, including:
the acquisition module is used for acquiring a standard curve established by at least one preset detection device for the same series of standard products to obtain at least one standard curve, wherein the standard curve is established based on the concentration value and the luminous value of the standard products;
the calculation module is used for calculating the sample number of each standard curve according to the preset error;
the acquisition module is further used for acquiring a concentration value corresponding to each sample in each standard curve according to the number of samples of each standard curve;
the determining module is used for determining the maximum sample number corresponding to the same series of standard products according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset error.
In a third aspect, embodiments of the present application further provide a computer device, including: a processor, a storage medium and a bus, the storage medium storing program instructions executable by the processor, the processor and the storage medium communicating over the bus when the computer device is running, the processor executing the program instructions to perform the steps of the maximum sample number determination method as described in any of the first aspects.
In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the maximum sample number determination method according to any of the first aspects.
The beneficial effects of this application are:
the embodiment of the application provides a method, a device and equipment for determining the maximum sample number, which comprise the following steps: obtaining standard curves established by a plurality of preset detection devices for the same series of standard substances, obtaining a plurality of standard curves, calculating the number of samples of each standard curve according to preset errors, obtaining a concentration value corresponding to each sample in each standard curve according to the number of samples of each standard curve, and finally determining the maximum number of samples corresponding to the same series of standard substances according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset errors. According to the method, the number of samples of each standard curve is calculated through the preset error, the maximum number of samples corresponding to the same series of standard products is determined according to the difference value of the concentration values corresponding to the samples in any two standard curves and the preset error, the maximum number of samples can be accurately determined by directly calculating based on detection data of a plurality of preset detection devices, a complex algorithm is not needed or a model is not needed to be built for calculation, errors caused by the calculation of the model are avoided, the calculation efficiency can be improved, and the method has higher practicability and operability.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for determining a maximum sample number according to an embodiment of the present application;
FIG. 2 is a second flow chart of a method for determining the maximum sample number according to the embodiment of the present application;
FIG. 3 is a schematic diagram of a standard curve according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of another standard curve provided in an embodiment of the present application;
FIG. 5 is a third flow chart of a method for determining the maximum sample number according to the embodiment of the present application;
FIG. 6 is a flowchart of a method for determining the maximum sample size according to an embodiment of the present disclosure;
FIG. 7 is a flowchart of a method for determining a maximum sample size according to an embodiment of the present disclosure;
FIG. 8 (a) is a schematic diagram of yet another standard curve provided in an embodiment of the present application;
FIG. 8 (b) is a schematic diagram of another standard curve provided in an embodiment of the present application;
fig. 9 is a schematic functional block diagram of a maximum sample number determining apparatus according to an embodiment of the present application;
fig. 10 is a schematic diagram of a computer device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Furthermore, the terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, without conflict, features in embodiments of the present application may be combined with each other.
In order to determine the maximum sample number corresponding to the same series of standard substances, unifying detection results of different preset detection devices on a standardized scale for the same series of standard substances, and realizing consistency of the detection results of the same series of standard substances.
The maximum sample number determining method provided in the embodiments of the present application is explained in detail by way of specific examples with reference to the accompanying drawings. The method for determining the maximum sample number provided by the embodiment of the application can be implemented by pre-installing: the computer equipment for determining the algorithm or detecting the software for presetting the maximum sample number is realized by running the algorithm or the software. The computer device may be, for example, a server or a terminal, which may be a user computer. Fig. 1 is a schematic flow chart of a method for determining the maximum sample number according to an embodiment of the present application. As shown in fig. 1, the method includes:
S101, acquiring standard curves established by a plurality of preset detection devices for the same series of standard products, and obtaining a plurality of standard curves.
In this embodiment, the same series of standard solutions indicated as standard solutions of known concentration for performing the assay may comprise: urine, blood, thyroid hormone calibration fluid, or other bodily fluids. The method comprises the steps of mixing the same series of standard substances and reagents through preset detection equipment, and then detecting to obtain a standard curve established by the preset detection equipment aiming at the same series of standard substances, wherein the standard curve is established based on concentration values and luminous values of the standard substances.
Optionally, the plurality of preset detection devices include a plurality of detection devices with different models, and the same series of standard products are detected by adopting the plurality of preset detection devices with different models, so as to obtain a plurality of corresponding different standard curves.
For example, if the same series of standard substances are Free thyroid hormone (FT 4) standard substances, wherein the FT4 standard substances, namely, thyroid hormone calibration solution, are products taking liquid bovine serum albumin as a matrix, and a plurality of preset detection devices of different types adopt a yapei 2000SR detection device and a siemens adia Centaur XP detection device, the FT4 standard substances are detected respectively through two preset detection devices of the yapei 2000SR and the siemens adia Centaur XP, corresponding standard curves are respectively obtained, wherein the standard curves are curves formed by measuring certain physicochemical properties of a series of standard substances with known components, so that the values of the physicochemical properties are obtained, the standard curves are functional relations between the physical/chemical properties of the standard substances and instrument responses, and the two preset detection devices have different measurement signals of the same series of standard substances due to different factors such as sensitivity, precision, stability, interference and the like, and the two preset detection devices have different detection principles, methods, conditions and the like, so that the two preset detection devices have different measurement signals, and the two standard curves have different measurement functions, and the two standard curves are different, and the standard curves are obtained.
Wherein, the calculation formula of the yapei 2000SR aiming at the FT4 standard curve is expressed as follows:the method comprises the steps of carrying out a first treatment on the surface of the The calculation formula of the Siemens ADVIA Centaur XP against the FT4 standard curve is expressed as follows: />. Thus, standard curves established by a plurality of preset detection devices aiming at the same series of standard products are obtained, and a plurality of standard curves are obtained.
S102, calculating the number of samples of each standard curve according to a preset error.
Specifically, the preset error indication is expressed as the maximum allowable total error of the detection items specified by the clinical test industry, namely the detection of the same series of standard substancesdWherein, the method comprises the steps of, wherein,，TEaexpressed as the maximum allowable total error given by the department of health checking center.
And sequentially determining the value points in the standard curve according to the preset error and the standard curve, and determining each value point as each sample of the standard curve, so as to calculate the number of samples of each standard curve.
S103, according to the number of samples of each standard curve, acquiring a concentration value corresponding to each sample in each standard curve.
S104, determining the maximum sample number corresponding to the same series of standard products according to the difference value of the corresponding concentration values in any two standard curves and the preset error.
Specifically, the samples of each standard curve can obtain the concentration value corresponding to the samples on the standard curve, each sample in any two standard curves is detected by a preset detection device, and the maximum sample number corresponding to the same series of standard products is determined according to the difference value of the concentration values corresponding to the samples obtained by the detection result and the preset error.
In summary, the embodiment of the application provides a method for determining the maximum sample number, which includes: obtaining standard curves established by a plurality of preset detection devices for the same series of standard substances, obtaining a plurality of standard curves, calculating the number of samples of each standard curve according to preset errors, obtaining a concentration value corresponding to each sample in each standard curve according to the number of samples of each standard curve, and finally determining the maximum number of samples corresponding to the same series of standard substances according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset errors. According to the method, the number of samples of each standard curve is calculated through the preset error, the maximum number of samples corresponding to the same series of standard products is determined according to the difference value of the concentration values corresponding to the samples in any two standard curves and the preset error, the maximum number of samples can be accurately determined by directly calculating based on detection data of a plurality of preset detection devices, a complex algorithm is not needed or a model is not needed to be built for calculation, errors caused by the calculation of the model are avoided, the calculation efficiency can be improved, and the method has higher practicability and operability.
The embodiment of the application also provides a possible implementation manner of another maximum sample number determining method. Fig. 2 is a second flowchart of a method for determining the maximum sample number according to an embodiment of the present application. Fig. 3 is a schematic diagram of a standard curve according to an embodiment of the present application. Fig. 4 is a schematic diagram of another standard curve provided in an embodiment of the present application. As shown in fig. 2, calculating the number of samples of each standard curve according to the preset error includes:
s201, determining an error range of a first value point according to a preset error and the first value point of each standard curve.
S202, determining a second value point according to the first value point and the error range of the first value point.
Optionally, determining a second point to be valued according to the first point to be valued and the error range of the first point to be valued; and determining a second value point according to the second value point to be obtained and the preset error.
In this embodiment, as shown in FIG. 3, a standard curve is selectedf(x) Is the initial point of (2)A 1 (x 1 ，y 1 ) As a standard curvef(x) Obtain the initial point of the first value point of (2)A 1 Concentration value of (2)x 1 And a luminous valuey 1 Determining a first value point according to a preset errorA 1 According to the first value point A 1 First value pointA 1 The error range of the second point to be valued is determined by adopting a value point calculation formulaThe method comprises the steps of carrying out a first treatment on the surface of the According to the second point to be valued +.>And a preset error, determining a second value point by adopting a value point calculation formulaA 2 (x 2 ，y 2 ) Wherein, the value point calculation formula is expressed as: />Wherein the first value point is the lowest detection lower limit of the preset detection equipment aiming at the standard curve, namelyA 1 Error range of (2)Second value pointA 2 The error range of (2) is +.>，dRepresented as a preset error. Thereby calculating a second value pointA 2 Concentration value of (2)x 2 And a luminous valuey 2 Determining a second value pointA 2 The second value point is expressed asA 2 (x 2 ，y 2 )。
S203, determining that the first value point is a first sample of each standard curve and the second value point is a second sample of each standard curve, and executing the steps in sequence until the maximum N samples of each standard curve are determined.
According to the second value pointA 2 And a preset errordFurther determining an error range of the second value point. And similarly, determining a third value point until all value points of each standard curve are determined, taking each value point as one sample, taking the last value point of each standard curve as the maximum N samples of each standard curve, and thus obtaining N samples of each standard curve, wherein the sum of the number of the value points of each standard curve is taken as the number of the samples of each standard curve.
The calculation formula of the N value points can be expressed as follows:obtain the firstiEach value pointA i （x i ，y i ) First, theiThe error range of each value point is as follows: />。
Illustratively, with continued reference to FIG. 4, assume a standard curvef(x) The formula of (2) isFirst value point->The coordinates of (2, 4),d0.1, letting the second value point +_according to the value point formula>The point is from the first value point +.>The point starts to slide along the standard curve, and the point which is far from the first value point is calculated>Nearest second point of value->。
Specifically, the second value pointThe following three conditions are required for the determination of (a):
(1) According to the first value pointA first value point->Error Range of->Determining a second point to be valued +.>According to the second point to be valued +.>Preset errordDetermining a second value point +.>。
(2) Second value pointIs of the longitudinal direction of (2)Coordinates->Is a standard curvef(x) The value of (i.e.)>=/>。
(3) Second value pointIs +.>Is greater than->I.e. +.>。
First taking the known value to the point、d=0.1 input value point calculation formula:
a second value point +.>Is +.>About 5.975, second point of value +.>About 2.444, then the second point is determined +.>（2.444，5.975）。
According to the method provided by the embodiment of the application, the error range of the first value point is determined according to the preset error and the first value point of each standard curve, then the second value point is determined according to the first value point and the error range of the first value point, the first value point is determined to be a first sample of each standard curve, the second value point is determined to be a second sample of each standard curve, and the steps are sequentially executed until the maximum N samples of each standard curve are determined, so that the number of samples of each standard curve is calculated, and the subsequent determination of the maximum number of samples is facilitated.
The embodiment of the application also provides a possible implementation manner of another maximum sample number determining method. Fig. 5 is a third flowchart of a method for determining the maximum sample number according to an embodiment of the present application. As shown in fig. 5, determining that the first value point is the first sample of each standard curve and the second value point is the second sample of each standard curve is performed in sequence until the maximum N samples of each standard curve are determined, including:
s301, determining an error range of the N-1 value point of the standard curve according to the preset error and the N-1 value point.
S302, if the Nth value point of the standard curve is within the error range of the N-1 th value point, determining that the Nth value point does not belong to a sample of the standard curve.
In this embodiment, with continued reference to fig. 3, according to the calculation formula of the value point recorded in step S203, the N-1 th value point is determined, and according to the error range calculation formula, the error range of the N-1 th value point is determined, if the N-th value point of the standard curve is the end point of the standard curveL(x L ，y L ) And in the error range of the N-1 value point, determining samples of which the N value point does not belong to the standard curve.
Specifically, if the Nth value pointL(x L ，y L ) Satisfy the following requirementsDetermining the last point of the Nth value point L(x L ，y L ) Within the error range of the N-1 th value point, and determining that the N-1 th value point does not belong to the standardThe number of samples of the curve, at this time, is N-1.
S303, if the Nth value point of the standard curve is not in the error range of the N-1 th value point, determining the Nth value point as the last sample of the standard curve.
Specifically, if the Nth value pointL(x L ，y L ) Satisfy the following requirementsDetermining the last point of the Nth value pointL(x L ，y L ) And determining the Nth value point as a sample of the standard curve when the error range of the Nth value point is not within the error range of the Nth-1 value point, wherein the number of samples of the standard curve is N.
In the method provided by the embodiment of the application, according to the preset error and the N-1 value point, determining the error range of the N-1 value point of the standard curve; if the Nth value point of the standard curve is within the error range of the N-1 th value point, determining that the Nth value point does not belong to a sample of the standard curve; if the Nth value point of the standard curve is not in the error range of the N-1 th value point, determining the Nth value point as the last sample of the standard curve, and determining the value point according to the preset error from the initial point of the standard curve in the process of determining the value point of the standard curve, wherein the condition that the last point of the standard curve is in the error range of the N-1 th value point when the N-1 th value point is determined, the last point of the standard curve is not taken as the sample of the standard curve, so that the sample number of each standard curve is accurately calculated.
The embodiment of the application also provides a possible implementation manner of another maximum sample number determining method. Fig. 6 is a flowchart of a method for determining the maximum sample number according to an embodiment of the present application. As shown in fig. 6, determining the maximum sample number corresponding to the same series of standard products according to the difference value of the corresponding concentration values in any two standard curves and the preset error, includes:
s401, detecting each sample of any two standard curves in the standard curves through any one of a plurality of preset detection devices to obtain concentration values of the plurality of samples.
S402, determining whether a common sample exists among a plurality of samples according to the difference value of the corresponding concentration values in any two standard curves and a preset error.
In this embodiment, two standard curves are arbitrarily selected from the multiple standard curves, and according to samples of the two standard curves, each sample is input into any one preset detection device to be detected, and the concentration and the luminescence value of each sample are recorded, so as to obtain the concentration value and the luminescence value of the multiple samples. If two standard curves exist, they are respectively standard curvesf(x) And standard curve g(x) And detecting each sample of the two standard curves through the equipment A, so that concentration values of a plurality of samples can be obtained.
And calculating the difference value of the concentration values of the adjacent samples according to the concentration values of the plurality of samples, comparing the difference value with a preset error, and determining whether a common sample exists between the adjacent samples.
S403, if the common sample exists, reserving one common sample, and determining the maximum sample number corresponding to the same series of standard substances.
Specifically, if a common sample exists between adjacent samples, one common sample is reserved, and the sum of the sample numbers of all the plurality of samples is determined, and the number of the common samples is removed to be the maximum sample number corresponding to the same series of standard products.
Optionally, if there is no common sample, the sum of the sample numbers of all the multiple samples is taken as the maximum sample number corresponding to the same series of standards.
In the method provided by the embodiment of the application, each sample of any two standard curves in the standard curves is detected by any one of a plurality of preset detection devices to obtain concentration values of the plurality of samples, whether a common sample exists among the plurality of samples or not is determined according to concentration value difference values of the plurality of samples and preset errors, if the common sample exists, one common sample is reserved, the maximum sample number corresponding to the same series of standard products is determined, only one common sample is reserved from the two samples, the sample number of the same series of standard products can be reduced, and the maximum sample number corresponding to the same series of standard products is accurately obtained.
The embodiment of the application also provides a possible implementation manner of another maximum sample number determining method. Fig. 7 is a flowchart of a method for determining the maximum sample number according to an embodiment of the present application. As shown in fig. 7, determining whether a common sample exists among the plurality of samples according to the concentration value differences of the plurality of samples and the preset error includes:
s501, sequentially calculating concentration value differences of adjacent samples according to concentration values of a plurality of samples.
In this embodiment, the preset detection device detects each sample of any two standard curves in the standard curves to obtain a concentration value and a luminescence value corresponding to each sample, as shown in table 1, each sample has a mark, and concentration value differences of adjacent samples are sequentially calculated according to concentration value sequences in the samples, for example, sequentially calculatedA 1 AndB 1 concentration value difference of (2),A 1 AndB 2 concentration value difference of … …,B 10 AndA 9 concentration value difference of (2).
Table 1 maximum sample value example
S502, if the concentration value difference is within a preset difference range, selecting one of adjacent samples as a public sample.
In particular, the identity of concentration values for a plurality of samples may be expressed asK is a counter, if Then consider the two samples to be common samples, let +.>=/>+1, continuing to traverse the next adjacent concentration; if it isContinuing to traverse the next adjacent concentration until +.>Or->If the difference of the concentration values is greater than +.>Order->Repeating the above process until the concentration value of all adjacent samples is traversed, returningkAs a common sample number.
Based on the above, if there is a common sample, a common sample is reserved, and the maximum sample number corresponding to the same series of standard products is determined, including:
s503, subtracting the number of the common samples from the sum of the numbers of the plurality of samples to obtain the maximum number of samples corresponding to the same series of standard products.
For example, if the number of samples of the standard curve A is N1, the number of samples of the standard curve B is N2, and the number of common samples iskMaximum sample number nc=n1+n2-kThereby determining the maximum sample number corresponding to the same series of standard products.
In the method provided by the embodiment of the application, according to the concentration values of a plurality of samples, the concentration value difference values of adjacent samples are calculated in sequence; if the concentration value difference is within the preset difference range, selecting one of the adjacent samples as a common sample, and subtracting the number of the common sample from the sum of the numbers of all the plurality of samples to obtain the maximum number of samples corresponding to the same series of standard substances. By determining the common samples, the repetition of the samples is reduced, resulting in a maximum number of samples.
In addition, the embodiment of the present application further provides a complete example of a method for determining the maximum sample number, and fig. 8 (a) is a schematic diagram of another standard curve provided in the embodiment of the present application; FIG. 8 (b) is a schematic diagram of another standard curve provided in an embodiment of the present application; as shown in FIG. 8 (a), the plant A standard curvef(x) The formula of (2) isFirst value point->The coordinates of (2, 4) are the preset errordTake a value of 0.1, standard curvef(x) Concentration ofxThe linear range of (2, 10) is based on the first point of valueThe concentration value and the luminescence value of (2), and a preset error, determine a first value point +.>Then calculating the concentration value +.f of the second value point by using the value point calculation formula>And luminescence value->And solving a second value point, and sequentially solving all subsequent value points meeting the preset error, wherein a value point calculation formula is expressed as follows: />。
As shown in FIG. 8 (a), the device B standard curveg(x) The formula of (2) isFirst value point->The coordinates of (1, 3), the preset errordThe value is 0.1, and the standard curve g is%x) Concentration ofxThe linear range of (1, 7) is +.>The concentration value and the luminescence value of (2), and a preset error, determine a first value point +. >Then calculating a second value point +.>Concentration value of>And luminescence value->Find the second value point +.>And sequentially solving all subsequent value points meeting the preset error. The calculation formula of the value point is expressed as follows: />。
The embodiment of the application also provides a specific algorithm implementation standard curve algorithm for determining the maximum sample number, and the specific implementation is realized by a Python algorithm, and the corresponding Python codes are as follows:
def f(x):
return x2; % defines the formula of the device standard curve f (x) as y=x≡2.
x_1 = 2；
y1=4; % defines the coordinates of the first value point a_1 as (2, 4).
d=0.1; % preset error d takes a value of 0.1.
x_min = 2；
x_max=10; the linear range of% standard curve f (x) concentration x is (2, 10).
points= [ ]; % defines an empty list for storing the coordinates of the value points.
points, application ((x_1, y_1)); % adds the first value point a_1 to the list.
i=2; % number of the point.
while 1:
abs(x_i - x_i -1')/ x_i =d；
abs( x_i -1'-x_1)/ x_1=d；
x_i = x_1(1+d)/(1-d); % calculate the concentration x of the ith point.
y_i=f (x_i); % calculate the light emission value y of the ith point.
% determines whether to continue the loop.
if x_i>= x_max:
break; % out of circulation.
points, applications ((x_i, y_i)); % update the sequence number and coordinates of the value point.
i += 1；
x_1 = x_i；
y_1 = y_i；
% printing actual value points and not printing coordinates of the point to be value.
print ('actual value points are as follows')
for point in points:
print(point)；
Results:
(2, 4)
(2.4444444444444446, 5.975308641975309)
(2.9876543209876547, 8.926078341716204)
(3.6515775034293556, 13.334018263551366)
(4.463039170858102, 19.918718640613776)
(5.454825653271014, 29.75512290758354)
(6.667009131775684, 44.44901076318036)
(8.148566716614726, 66.3991395351213)
(9.959359320306888, 99.18883807098368)
Wherein, the comparison number of samples of the equipment A is N1=9, and the standard curvef(x) Is shown in table 2:
TABLE 2 Standard curvef(x) Multiple sample value examples of (a)
Wherein, the comparison number of the samples of the equipment B is N2=10, and the standard curve g is #x) Is shown in table 3:
TABLE 3 Standard Curve g [ ]x) Multiple sample value examples of (a)
/>
As shown in FIG. 8 (b), device A versus standard curvef(x) And standard curve g%x) The concentration values of a plurality of samples are obtained by detecting each sample of the sample, and the comparison number of the samples and the concentration luminescence value of all the samples in the equipment A are shown in the table 4:
table 4 multiple sample value examples in device a
The actual standard curve g #, isx)、f(x) More complex, the sources of the concentrations and the luminescence values of the plurality of data B samples in the table 4 are randomly selected according to the concentrations, the result is a theoretical result for verifying the choice of common samples, then the concentration value difference of adjacent samples is calculated, ifThe two samples are considered to be public samples, and the maximum sample number result corresponding to the same series of standard products is finally obtained as follows:
Nc=N1+N2-(0+0+…1+1+1+1+1+1+1+1)=12。
the embodiment of the application also provides a concrete algorithm for realizing the choice of the public sample, and the concrete implementation is realized by a Python algorithm, and the corresponding Python codes are as follows:
deffilter_common_samples (N1, N2, x, d): % N1 and N2 are the number of comparative samples obtained by the two instruments, x is a list, the value of the stored concentration, d is a threshold value, and represents the upper limit of the relative error.
def filter_common_samples(N1, N2, x, d):
i=0
j=1
k=0
n=len(x)
while i<n and j<n:
error=abs(x[i] - x[j]) / x[i]
if error<d/2:
k += 1
print(x[i], x[j], sep=" ")
j += 1
if j>= n:
if i == n - 2:
break
else:
i += 1
while i<n - 1:
error = abs(x[i] - x[i+1]) / x[i]
if error<d/2:
k += 1
print(x[i], x[i+1], sep=" ")
i += 1
break
else:
i += 1
j = i + 1
Nc = N1 + N2 - k
return Nc, k
N1 = 9
N2 = 10
x=[2,2.312,2.444,2.450,2.983,2.988,3.600,3.652,3.658,4.463,5.234, 5.455,6.011, 6.667,6.789,7.342,8.149,8.43,9.959]
d = 0.05
Nc, k = filter_common_samples(N1, N2, x, d)
print("Nc =", Nc)
print("k =", k)
Result:
2.444、2.45、2.983、2.988、3.6、3.652、3.6、3.658、3.652、3.658、6.667、6.789、8.149、8.430
Nc=12
k=7
The maximum sample number determining device and the computer device provided by any of the embodiments of the present application are further explained correspondingly, and specific implementation processes and technical effects thereof are the same as those of the corresponding method embodiments, and for brevity, parts are not mentioned in this embodiment, and reference may be made to corresponding contents in the method embodiments.
Fig. 9 is a schematic functional block diagram of a maximum sample number determining apparatus according to an embodiment of the present application. As shown in fig. 9, the maximum sample number determining apparatus 100 includes:
the obtaining module 110 is configured to obtain standard curves established by a plurality of preset detecting devices for the same series of standard products, so as to obtain a plurality of standard curves, where the standard curves are standard curves established based on concentration values and luminescence values of the standard products;
the calculating module 120 is configured to calculate the number of samples of each standard curve according to a preset error;
the obtaining module 110 is further configured to obtain a concentration value corresponding to each sample in each standard curve according to the number of samples in each standard curve;
The determining module 130 is configured to determine the maximum number of samples corresponding to the same series of standards according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset error.
Optionally, the calculating module 120 is further configured to determine an error range of a first value point according to the preset error and the first value point of each standard curve, where the first value point is a lowest detection lower limit of a plurality of preset detection devices for the standard curve; determining a second value point according to the first value point and the error range of the first value point; and determining the first value point as a first sample of each standard curve and the second value point as a second sample of each standard curve, and sequentially executing until the maximum N samples of each standard curve are determined.
Optionally, the calculating module 120 is further configured to determine a second point to be valued according to the first point to be valued and an error range of the first point to be valued; and determining a second value point according to the second value point to be obtained and the preset error.
Optionally, the calculation module 120 is further configured to determine an error range of the N-1 th value point of the standard curve according to the preset error and the N-1 th value point; if the Nth value point of the standard curve is within the error range of the N-1 th value point, determining that the Nth value point does not belong to a sample of the standard curve; if the Nth value point of the standard curve is not in the error range of the N-1 th value point, determining the Nth value point as the last sample of the standard curve.
Optionally, the determining module 130 is further configured to detect each sample of any two standard curves in the standard curves by using any one of a plurality of preset detecting devices, so as to obtain concentration values of the plurality of samples; determining whether a common sample exists among the plurality of samples according to the concentration value difference value of the plurality of samples and a preset error; if the common sample exists, one common sample is reserved, and the maximum sample number corresponding to the same series of standard products is determined.
Optionally, the determining module 130 is further configured to sequentially calculate concentration value differences of adjacent samples according to concentration values of the plurality of samples; if the concentration value difference is within the preset difference range, selecting one of adjacent samples as a common sample; the sum of the number of the plurality of samples minus the number of the common samples is taken as the maximum number of samples corresponding to the same series of standard substances.
Optionally, the determining module 130 is further configured to, if there is no common sample, use the sum of the number of the plurality of samples as the maximum number of samples corresponding to the same series of standards.
The plurality of preset detecting devices include a plurality of detecting devices with different models, and optionally, the obtaining module 110 is further configured to detect the same series of standard products by using the plurality of preset detecting devices with different models, so as to obtain a plurality of corresponding different standard curves.
The foregoing apparatus is used for executing the method provided in the foregoing embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
The above modules may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASICs), or one or more microprocessors, or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGAs), etc. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 10 is a schematic diagram of a computer device provided in an embodiment of the present application, where the computer device may be used for maximum sample number determination. As shown in fig. 10, the computer device 200 includes: a processor 210, a storage medium 220, and a bus 230.
The storage medium 220 stores machine-readable instructions executable by the processor 210. When the computer device is running, the processor 210 communicates with the storage medium 220 via the bus 230, and the processor 210 executes the machine-readable instructions to perform the steps of the method embodiments described above. The specific implementation manner and the technical effect are similar, and are not repeated here.
Optionally, the present application further provides a storage medium 220, where the storage medium 220 stores a computer program, which when executed by a processor performs the steps of the above-mentioned method embodiments. The specific implementation manner and the technical effect are similar, and are not repeated here.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the invention. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily appreciate variations or alternatives within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (8)
1. A method for determining a maximum number of samples, comprising:
obtaining standard curves established by a plurality of preset detection devices aiming at the same series of standard substances, and obtaining a plurality of standard curves, wherein the standard curves are established based on concentration values and luminous values of the standard substances;
calculating the number of samples of each standard curve according to a preset error;
acquiring a concentration value corresponding to each sample in each standard curve according to the number of samples of each standard curve;
determining the maximum sample number corresponding to the same series of standard substances according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset error;
the calculating the number of samples of each standard curve according to the preset error comprises the following steps:
determining an error range of a first value point according to the preset error and the first value point of each standard curve, wherein the first value point is the lowest detection lower limit of the plurality of preset detection devices for the standard curve;
determining a second value point according to the first value point and the error range of the first value point;
Determining the first value point as a first sample of each standard curve and the second value point as a second sample of each standard curve, and sequentially executing until the maximum N samples of each standard curve are determined;
the determining a second value point according to the first value point and the error range of the first value point includes:
determining a second point to be valued according to the first point to be valued and the error range of the first point to be valued;
determining a second value point according to the second value point to be obtained and the preset error;
according to the second point to be valued and the preset error, determining the second point to be valued by adopting a point calculation formula, wherein the point calculation formula is expressed as:
；
wherein,for the concentration value of said first setpoint,/-for>For the concentration value of said second setpoint,/-for>For the concentration value of the second point to be valued,dfor the preset error, the error range of the first value point is +.>The error range of the second value point is +.>。
2. The method of claim 1, wherein determining the first value point as the first sample of each standard curve and the second value point as the second sample of each standard curve is performed sequentially until a maximum N samples of each standard curve are determined, comprising:
Determining an error range of the N-1 value point of the standard curve according to the preset error and the N-1 value point;
if the Nth value point of the standard curve is within the error range of the N-1 th value point, determining that the Nth value point does not belong to a sample of the standard curve;
and if the Nth value point of the standard curve is not in the error range of the N-1 th value point, determining the Nth value point as the last sample of the standard curve.
3. The method of claim 1, wherein determining the maximum number of samples corresponding to the same series of standards according to the difference between the corresponding concentration values in any two standard curves in the standard curves and the preset error comprises:
detecting each sample of any two standard curves in the standard curves by any one of the plurality of preset detection devices to obtain concentration values of the plurality of samples;
determining whether a common sample exists among the plurality of samples according to the concentration value difference values of the plurality of samples and the preset error;
if the common sample exists, one common sample is reserved, and the maximum sample number corresponding to the same series of standard products is determined.
4. The method of claim 3, wherein said determining whether a common sample exists between the plurality of samples based on the concentration value differences of the plurality of samples and the preset error comprises:
sequentially calculating concentration value differences of adjacent samples according to the concentration values of the plurality of samples;
if the concentration value difference is within a preset difference range, selecting one of adjacent samples as the public sample;
if the common sample exists, one common sample is reserved, and the maximum sample number corresponding to the same series of standard products is determined, including:
subtracting the number of the common samples from the sum of the numbers of the plurality of samples to obtain the maximum number of samples corresponding to the same series of standard substances.
5. A method as claimed in claim 3, wherein the method further comprises:
and if the common sample does not exist, taking the sum of the numbers of the plurality of samples as the maximum number of samples corresponding to the same series of standard substances.
6. The method according to any one of claims 1 to 5, wherein the plurality of preset detecting devices include a plurality of detecting devices of different models, and the obtaining standard curves established by the plurality of preset detecting devices for the same series of standards, to obtain a plurality of standard curves, includes:
And detecting the same series of standard products by adopting a plurality of preset detection devices with different models to obtain a plurality of corresponding different standard curves.
7. A maximum sample number determining apparatus, comprising:
the acquisition module is used for acquiring standard curves established by a plurality of preset detection devices for the same series of standard products to obtain a plurality of standard curves, wherein the standard curves are established based on concentration values and luminous values of the standard products;
the calculation module is used for calculating the sample number of each standard curve according to the preset error;
the acquisition module is further used for acquiring a concentration value corresponding to each sample in each standard curve according to the number of samples of each standard curve;
the determining module is used for determining the maximum sample number corresponding to the same series of standard products according to the difference value of the corresponding concentration values in any two standard curves in the standard curves and the preset error;
the calculation module is further configured to determine an error range of a first value point according to the preset error and the first value point of each standard curve, where the first value point is a lowest detection lower limit of the plurality of preset detection devices for the standard curve; determining a second value point according to the first value point and the error range of the first value point; determining the first value point as a first sample of each standard curve and the second value point as a second sample of each standard curve, and sequentially executing until the maximum N samples of each standard curve are determined;
The computing module is further used for determining a second point to be valued according to the first point to be valued and the error range of the first point to be valued; determining a second value point according to the second value point to be obtained and the preset error; according to the second point to be valued and the preset error, determining the second point to be valued by adopting a point calculation formula, wherein the point calculation formula is expressed as:
；
wherein,for the concentration value of said first setpoint,/-for>For the concentration value of said second setpoint,/-for>For the concentration value of the second point to be valued,dfor the preset error, the error range of the first value point is +.>The error range of the second value point is +.>。
8. A computer device, comprising: a processor, a storage medium and a bus, the storage medium storing program instructions executable by the processor, the processor and the storage medium communicating over the bus when the computer device is running, the processor executing the program instructions to perform the steps of the maximum sample number determination method according to any one of claims 1 to 6.
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