CN114969657A - Detection data custom calculation processing method and system - Google Patents
Detection data custom calculation processing method and system Download PDFInfo
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- CN114969657A CN114969657A CN202210354826.2A CN202210354826A CN114969657A CN 114969657 A CN114969657 A CN 114969657A CN 202210354826 A CN202210354826 A CN 202210354826A CN 114969657 A CN114969657 A CN 114969657A
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Abstract
The invention discloses a detection data custom calculation processing method and system, and belongs to the technical field of data processing. The method comprises the steps of establishing a structured public physical model of laboratory test data in an abstract mode, and forming a detection project information layer, a detection condition group information layer, a detection parameter information layer, a sample number information layer and a sample splitting group information layer; defining a model through a calculation formula, and defining calculation logics among detection parameter result values of all samples under a detection project information layer in advance; according to the test scene, automatically calling a defined calculation logic to form a calculation formula and loading the calculation formula into a preset original recording template; and filling the detection result value obtained by the experimental test into the original recording template, and automatically generating a calculation result. The invention utilizes the calculation formula definition model to define the calculation logic among all the detection parameters in the structured data in advance, replaces the process of manually inputting the calculation formula, improves the working efficiency and reduces the error rate.
Description
Technical Field
The invention relates to the field of data processing, in particular to a detection data custom calculation processing method and system.
Background
In the working process of an actual laboratory, a large amount of experiments can generate a large amount of test detection data, and a laboratory engineer needs to manually input a corresponding calculation formula in the EXCEL according to the detection condition of each experiment so as to process the obtained experiment data and obtain a corresponding experiment result; in each test, the filling of the detection result data involves operations such as adding and modifying a calculation formula, which results in low data processing efficiency and is also prone to errors.
In the prior art, patent CN112394976A discloses a method for self-defining configuration of formula and a related device, which are used to solve the problem of low efficiency of accounting work. The method comprises the following steps: acquiring a target parameter; combining a target variable and an operator according to a configuration list to generate a target calculation formula, wherein the configuration list comprises an accounting formula in an accounting scheme, and the value of the target variable comprises different values corresponding to different parameters; judging whether the target calculation formula is legal or not; if so, substituting the target parameter into the target variable value; substituting the target variable after the value taking into the target calculation formula to generate a target formula; and outputting a result corresponding to the target formula.
The above patent proposes a formula self-defined configuration method for improving the work efficiency of the accounting, but the method is not suitable for the field of laboratory detection data, and at present, a method and a system which are convenient and fast and are used for different detection projects of a laboratory and for fast calculation processing of detection parameter result values of test samples of different detection parameters under different detection conditions are not proposed in the prior art.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a detection data self-defined calculation processing method and system.
In order to achieve the above object, the technical solution of the present invention is as follows:
a detection data custom calculation processing method is characterized by comprising the following steps:
s1, abstractly establishing a structured public physical model of laboratory test data to form data of a detection item information layer, a detection condition group information layer, a detection parameter information layer, a sample number information layer, a sample splitting group information layer and a detection parameter judgment information layer;
s2, defining a model through a calculation formula, and defining calculation logics among detection parameter result values of all samples under the selected detection project information layer in advance;
s3, automatically calling a defined calculation logic according to the test scene to form a calculation formula and loading the calculation formula into the original recording template; the original recording template comprises corresponding detection project information, detection condition group information, detection parameter information, sample number information and a detection parameter result value calculation formula;
and S4, filling the detection parameter result values obtained by the test into the original recording template, automatically generating a calculation result, and judging whether the detection parameter result values and the calculation result values are qualified.
In step S1, the abstract establishment of the structured public physical model of laboratory test data is established through a test application form, a method standard and a product standard file.
In step S1, the detection item information layer refers to the content of the product or sample participating in laboratory detection; the detection condition group information layer refers to the temperature, humidity and atmospheric pressure of a product or a sample participating in a laboratory detection project; the detection parameter information layer is a detection index and comprises a parameter name, a result value unit and a result value type; the sample number information layer is used for counting the number of products or samples; the sample splitting group information layer is used for counting the number of a product or a sample splitting group under a certain sample number information layer.
In step S1, the inspection parameter determination layer specifies whether the inspection parameter result value and the calculation result value of a certain parameter under the selected inspection item are acceptable under different conditions based on the product or sample specification.
In step S2, the calculation formula definition model may be defined by simple calculation parameters and complex calculation parameters; simple type calculation parameter definitions include, but are not limited to, minimum, maximum, mean, median, absolute, sum, constant; the complex calculation parameter definition refers to that the data of the detection condition group, the detection parameters, the sample number and the sample disassembly group information under the same detection project are freely combined through self-defined mathematical operation to form a complex calculation type.
In step S2, when the calculation formula definition model is defined by using simple calculation parameters, an extension requirement for a calculation rule of a certain detection parameter in the calculation formula application process may be defined.
The extension requirement types comprise non-extension, sample extension following and sample parameter extension following; the non-expansion is to calculate the logic according to the set simplicity aiming at all the result values of the selected detection parameters; the following sample expansion refers to that expansion operation is carried out on detection result values of all parameters in the selected detection parameters according to samples; the following sample parameter expansion refers to the expansion operation of the detection result values of all the parameters in the selected detection parameters according to the samples and the parameters.
In step S2, when the calculation formula definition model is defined by using complex calculation parameters, the calculation formula definition model is extended by default along with the sample, and the user can also define dynamic extension according to a certain detection parameter.
In step S2, the calculation formula definition model may define a result value reduction rule, and the final calculation result reduction may be realized according to the result value reduction rule, the result value reserved bits, and the calculation formula generated by the calculation logic.
The invention also provides a detection data self-defining calculation processing system, which comprises:
the test data structuring module is used for building laboratory test data according to a test application form, a method standard and a product standard file to form structured data comprising a detection project information layer, a detection condition group information layer, a detection parameter information layer, a sample number information layer and a sample splitting group information layer;
the calculation formula definition module is used for customizing and storing calculation logics among detection parameter result values of all samples under the selected detection project information layer according to user selection;
the original recording template generation module is used for automatically calling the defined calculation logic to form a calculation formula and loading the calculation formula into the original recording template;
and the detection parameter judgment module is used for judging whether the detection parameter result value and the calculation result value of a certain parameter under the selected detection item are qualified under different conditions according to the technical requirements of the product or the sample in the method standard file.
The interaction module is connected with the test data structuring module, the calculation formula defining module, the original recording template generating module and the detection parameter judging module and comprises an input device and an output device, wherein the input device is used for receiving a target detection item selection instruction, a calculation formula selection instruction or an editing instruction of a user; the output device comprises a display used for displaying the effect of the instruction input by the user through the input device and the original recording template generated by the original recording template generating module.
The detection project information layer refers to the content of the product or sample participating in laboratory detection; the detection condition group information layer refers to the temperature, humidity and atmospheric pressure of a product or a sample participating in a laboratory detection project; the detection parameter information layer is a detection index and comprises a parameter name, a result value unit and a result value type; the sample number information layer is used for counting the number of products or samples; the sample splitting group information layer is used for carrying out numbering statistics on products or sample splitting groups under a certain sample number information layer.
The calculation formula definition module is also used for providing optional result value reduction rules and selection of expansion requirements of the calculation rules in the calculation formula application process.
The calculation formula definition module can perform simple calculation parameter definition and complex calculation parameter definition, wherein the simple calculation parameter definition comprises but is not limited to minimum value, maximum value, average value, median value, absolute value, summation and constant; the complex calculation parameter definition refers to that the free combination of data of the detection condition group, the detection parameter, the sample number and the sample disassembly group information under the same detection project is realized through self-defined mathematical operation to form a complex calculation type.
In summary, the invention has the following advantages:
1. according to the method, based on structured data formed by structuring laboratory test data, according to user requirements, a calculation formula definition model is used for defining calculation logics among all detection parameters in the structured data in advance, a calculation formula is generated according to the calculation logics and loaded into a preset original recording template, a user fills in the test data by using the original recording template and automatically obtains a calculation result, the process of manually inputting the calculation formula is replaced, the working efficiency is improved, and the error rate caused by manual participation is reduced;
2. the calculation formula definition model can define simple calculation parameters and complex calculation parameters according to a test scene, provides an optional result value reduction rule and selects expansion requirements in the calculation formula application process, and can almost meet the requirements of simple calculation and complex calculation of detection parameter result values of all experimental items.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a block diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Example 1
The embodiment provides a detection data custom calculation processing method, as shown in fig. 1, including the following steps:
s1, abstractly establishing a structured public physical model of laboratory test data to form data of a detection item information layer, a detection condition group information layer, a detection parameter information layer, a sample number information layer, a sample splitting group information layer and a detection parameter judgment information layer; the abstract establishment of the structured public physical model of the laboratory test data refers to the establishment through a test application form, a method standard and a product standard file; the detection project information layer refers to the detection content of a product or a sample participating in a laboratory; the detection condition group information layer refers to the temperature, humidity and atmospheric pressure of a product or a sample participating in a laboratory detection project; the detection parameter information layer is a detection index and comprises a parameter name, a result value unit and a result value type; the sample number information layer is used for counting the number of products or samples; the sample splitting group information layer is used for carrying out numbering statistics on products or sample splitting groups under a certain sample number information layer; the detection parameter judgment layer is used for judging whether the detection result value is qualified or not under different conditions according to the technical requirements of products or samples.
S2, defining a model through a calculation formula, and defining calculation logics among detection parameter result values of all samples under the selected detection project information layer in advance; the computational formula definition model may be implemented using a formula editor.
S3, automatically calling a defined calculation logic according to the test scene to form a calculation formula and loading the calculation formula into the original recording template; the original recording template comprises corresponding detection project information, detection condition group information, detection parameter information, sample number information and a detection parameter result value calculation formula;
and S4, filling the detection parameter result values obtained by the test into the original recording template, automatically generating a calculation result, and judging whether the detection parameter result values and the calculation result values are qualified.
By the method, based on structured data formed by laboratory test data structuring, according to user requirements, a calculation formula definition model is used for defining calculation logics among all detection parameters in the structured data in advance, a calculation formula is generated according to the calculation logics and loaded into a preset original recording template, a user fills in the test data by using the original recording template and automatically obtains a calculation result, the process of manually inputting the calculation formula is replaced, the working efficiency is improved, and the error rate caused by manual participation is reduced.
Example 2
The embodiment provides a detection data custom calculation processing method, and on the basis of the embodiment 1, further, a calculation formula definition model can perform simple calculation parameter definition and complex calculation parameter definition.
Simple type calculation parameter definitions include, but are not limited to, minimum, maximum, mean, median, absolute, sum, constant.
When the calculation formula definition model is defined by simple calculation parameters, the extension requirement of a calculation rule aiming at a certain detection parameter in the application process of the calculation formula can be defined.
The types of the extension requirements comprise no extension, following sample extension and following sample parameter extension.
The non-expansion is to calculate the logic according to the set simplicity for all the result values of the selected detection parameters. For example, if the user selected to simply compute the parameter definition for the maximum value for the parameter A, B, C, the maximum value was found from the N sample subsets associated with the parameter A, B, C.
The following sample expansion refers to the expansion operation of the detection result values of all the parameters in the selected detection parameters according to the samples. For example, the user has selected to maximize the parameters A, B, C … …, sample 1 (splits 1-1, 1-2, 1-3), sample 2 (2-1, 2-2), sample 3 (3-1, 3-2), the simple form of the calculation parameter definition. The parameter A corresponds to samples 1-1 and 1-2, the parameter B corresponds to samples 1-3 and 2-1, and the parameter C corresponds to samples 2-2, 3-1 and 3-2; then the number of final calculation type parameters is 3, and for sample 1, A: 1-1, 1-2, B: 1-3, from which the maximum is found and taken similarly for samples 2, 3.
The following sample parameter expansion refers to the expansion operation of the detection result values of all the parameters in the selected detection parameters according to the samples and the parameters. For example, the user has selected parameters A, B, C … …, sample 1 (splits 1-1, 1-2, 1-3), sample 2 (2-1, 2-2), sample 3 (3-1, 3-2); simple type calculation parameter definition takes the maximum value. The parameter A corresponds to samples 1-1 and 1-2, the parameter B corresponds to samples 1-3 and 2-1, and the parameter C corresponds to samples 2-2, 3-1 and 3-2; the number of final calculation type parameters is 5, and the number is respectively the maximum value of the parameter A sample number 1, the maximum value of the parameter B sample number 1 and the parameter B sample number 2, and the maximum value of the parameter C sample number 2, the parameter C and the sample number 3; the maximum value of the sample number 1 of the parameter A is the maximum value of all samples disassembled under the sample number 1 of the parameter A, and the corresponding simple type calculation logic can be obtained by the parameter B and the parameter C in the same way.
Further, the complex calculation parameter definition refers to that the data of the complex calculation type is freely combined through self-defined mathematical operation by selecting the detection condition group, the detection parameter, the sample number and the sample disassembly group information under the same detection project, so that the complex calculation type is formed.
When the calculation formula definition model is defined by adopting complex calculation parameters, the calculation formula definition model is defaulted to extend along with the sample, and meanwhile, a user can also define to dynamically extend according to a certain detection parameter. For example: the insertion loss variation of a certain cable is tested, a user tests the insertion loss at normal temperature and at high temperature, and the insertion loss variation can be defined through a complex calculation formula; namely, high-temperature insertion loss — normal-temperature insertion loss = insertion loss variation. Wherein:
1. detecting an item layer: and (5) an insertion loss test.
2. Detection condition layer: normal temperature and high temperature
3. Detecting a parameter layer: insertion loss
4. Sample number layer: cable 01, 02 …
As described by the above example, the data operation between the respective hierarchies can be freely realized by the calculation formula definition model.
Furthermore, the calculation formula definition model can define a result value reduction rule, and the final calculation result can be reduced according to the result value reduction rule, the result value reserved bit number and the calculation formula generated by the calculation logic.
Example 3
The embodiment provides a detection data custom computing processing system, as shown in fig. 2, including:
and the test data structuring module is used for building laboratory test data according to the test application form, the method standard and the product standard file to form structured data comprising a detection project information layer, a detection condition group information layer, a detection parameter information layer, a sample number information layer and a sample disassembling group information layer. Wherein, the detection project information layer refers to the content of the product or sample participating in laboratory detection; the detection condition group information layer refers to the temperature, humidity and atmospheric pressure of a product or a sample participating in a laboratory detection project; the detection parameter information layer is a detection index and comprises a parameter name, a result value unit and a result value type; the sample number information layer is used for counting the number of products or samples; the sample splitting group information layer is used for carrying out numbering statistics on products or sample splitting groups under a certain sample number information layer. After determining the detection items, the user selects a target detection condition group under the target detection items, selects target detection parameters under the target detection condition group, and selects target samples participating in calculation under the target detection parameters. If there are multiple pieces of samples for a target sample, further selection can be made under the set of pieces of samples.
And the calculation formula definition module is used for customizing and storing calculation logics among the detection parameter result values of the samples under the selected detection project information layer according to the selection of the user. The calculation formula definition module has a simple calculation parameter definition function and a complex calculation parameter definition function, the simple calculation parameter definition includes but is not limited to minimum, maximum, average, median, absolute, summation and constant, and a user can select the parameter in an interactive interface. The complex calculation parameter definition refers to that the free combination of data of the detection condition group, the detection parameter, the sample number and the sample disassembly group information under the same detection project is realized through self-defined mathematical operation to form a complex calculation type.
The detection parameter judgment module can be used for judging whether the detection parameter result value and the calculation result value of a certain parameter under the selected detection item are qualified under different conditions by calling the technical requirements of the corresponding product or sample in the method standard file.
The original recording template generation module is used for automatically calling the defined calculation logic to form a calculation formula and loading the calculation formula into the original recording template; the generated original recording template comprises detection item information, detection condition group information, detection parameter information, sample number information, a detection result value calculation formula and a detection parameter judgment result.
The interaction module is connected with the test data structuring module, the calculation formula defining module, the original recording template generating module and the detection parameter judging module and comprises an input device and an output device, wherein the input device is used for receiving a target detection item selection instruction, a calculation formula selection instruction or an editing instruction of a user; the output device comprises a display used for displaying the effect of the instruction input by the user through the input device and the original recording template generated by the original recording template generating module.
Further, the calculation formula definition module is also used for providing optional result value reduction rules and selection of expansion requirements of the calculation rules in the calculation formula application process. And according to the result value trimming rule, the result value reserved digit and a calculation formula generated by the calculation logic, trimming of a final calculation result can be realized.
Claims (13)
1. A detection data custom calculation processing method is characterized by comprising the following steps:
s1, abstractly establishing a structured public physical model of laboratory test data to form a detection item information layer, a detection condition group information layer, a detection parameter information layer, a sample number information layer, a sample splitting group information layer and a detection parameter judgment information layer;
s2, defining a model through a calculation formula, and defining calculation logics among detection parameter result values of all samples under the selected detection project information layer in advance;
s3, automatically calling a defined calculation logic according to the test scene to form a calculation formula and loading the calculation formula into the original recording template; the original recording template comprises corresponding detection project information, detection condition group information, detection parameter information, sample number information and a detection parameter result value calculation formula;
and S4, filling the detection parameter result values obtained by the test into the original recording template, automatically generating a calculation result, and judging whether the detection parameter result values and the calculation result values are qualified.
2. The detection data custom calculation processing method according to claim 1, wherein in step S1, abstracting and establishing the structured public physical model of laboratory test data is established through a test application form, a method standard and a product standard file.
3. The detection data custom calculation processing method according to claim 1, wherein the detection project information layer refers to content of products or samples participating in laboratory detection; the detection condition group information layer refers to the temperature, humidity and atmospheric pressure of a product or a sample participating in a laboratory detection project; the detection parameter information layer is a detection index and comprises a parameter name, a result value unit and a result value type; the sample number information layer is used for counting the number of products or samples; the sample splitting group information layer is used for carrying out numbering statistics on products or sample splitting groups under a certain sample number information layer.
4. The detection data custom calculation processing method according to claim 1, wherein the detection parameter determination layer specifies whether a detection parameter result value and a calculation result value of a certain parameter under a selected detection item are qualified under different conditions based on product or sample technical requirements.
5. The self-defined calculation processing method for detection data according to claim 1, wherein in step S2, the calculation formula definition model can be defined by simple calculation parameters and complex calculation parameters; simple type calculation parameter definitions include, but are not limited to, minimum, maximum, mean, median, absolute, sum, constant; the complex calculation parameter definition refers to that the free combination of data of the detection condition group, the detection parameter, the sample number and the sample disassembly group information under the same detection project is realized through self-defined mathematical operation to form a complex calculation type.
6. The method for processing detection data by self-defined calculation of claim 5, wherein in step S2, when the calculation formula definition model adopts simple calculation parameter definition, an extended requirement for a certain detection parameter calculation rule in the calculation formula application process can be defined.
7. The detection data custom calculation processing method according to claim 6, wherein the extension requirement type includes no extension, sample extension following and sample parameter extension following; the non-expansion is to calculate the logic according to the set simplicity aiming at all the result values of the selected detection parameters; the following sample expansion refers to performing expansion operation on detection result values of all parameters in the selected detection parameters according to samples; the following sample parameter expansion refers to the expansion operation of the detection result values of all the parameters in the selected detection parameters according to the samples and the parameters.
8. The method for self-defined calculation processing of detection data according to claim 7, wherein in step S2, when the calculation formula definition model is defined by using complex calculation parameters, the calculation formula definition model is extended by default along with the sample, and a user can also define dynamic extension according to a certain detection parameter.
9. The method of claim 1, wherein in step S2, the formula definition model defines a result value reduction rule, and the final calculation result is reduced according to the result value reduction rule, the number of bits reserved for the result value, and the calculation formula generated by the calculation logic.
10. A detection data custom computing processing system for implementing the method of any one of claims 1-9, comprising:
the test data structuring module is used for building laboratory test data according to a test application form, a method standard and a product standard file to form structured data comprising a detection project information layer, a detection condition group information layer, a detection parameter information layer, a sample number information layer and a sample splitting group information layer;
the calculation formula definition module is used for customizing and storing calculation logics among detection parameter result values of all samples under the selected detection project information layer according to user selection;
the original recording template generation module is used for automatically calling the defined calculation logic to form a calculation formula and loading the calculation formula into the original recording template;
the detection parameter judgment module is used for judging whether a detection parameter result value and a calculation result value of a certain parameter under the selected detection item are qualified under different conditions according to the technical requirements of the product or the sample in the method standard file;
the interaction module is connected with the test data structuring module, the calculation formula defining module, the original recording template generating module and the detection parameter judging module and comprises an input device and an output device, wherein the input device is used for receiving a target detection item selection instruction, a calculation formula selection instruction or an editing instruction of a user; the output device comprises a display used for displaying the effect of the instruction input by the user through the input device and the original recording template generated by the original recording template generating module.
11. The custom computing system for testing data of claim 10, wherein said testing item information layer refers to the content of the product or sample participating in the laboratory test; the detection condition group information layer refers to the temperature, humidity and atmospheric pressure of a product or a sample participating in a laboratory detection project; the detection parameter information layer is a detection index and comprises a parameter name, a result value unit and a result value type; the sample number information layer is used for counting the number of products or samples; the sample splitting group information layer is used for counting the number of a product or a sample splitting group under a certain sample number information layer.
12. The custom calculation processing system for detection data according to claim 10, wherein the calculation formula definition module is further configured to provide optional result value reduction rules and selection of expansion requirements of calculation rules during application of calculation formulas.
13. The custom calculation processing system for the detection data as claimed in claim 10, wherein the calculation formula definition module can perform simple calculation parameter definition and complex calculation parameter definition, the simple calculation parameter definition includes but is not limited to minimum, maximum, average, median, absolute, sum, constant; the complex calculation parameter definition refers to that the free combination of data of the detection condition group, the detection parameter, the sample number and the sample disassembly group information under the same detection project is realized through self-defined mathematical operation to form a complex calculation type.
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