CN111898359A - Intelligent quality detection report generation method and system - Google Patents
Intelligent quality detection report generation method and system Download PDFInfo
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Abstract
The invention discloses an intelligent quality detection report generation method and system, wherein the report generation process is full-automatic, manual operation is reduced, the generation efficiency is improved, and human errors are not easy to occur; when no corresponding template exists in the system, only the required official document describing the standard content needs to be imported into the system, the system can automatically identify and generate a new corresponding detection standard template, the generation process can intelligently recommend or default selected data, and manual operation is reduced; the template can be quickly generated according to the new specification without the participation of developers, so that the change requirements of policies and standards are met; the examination flow is automatically generated and distributed to examiners in a load balancing way, so that the whole process is intelligent and automatic.
Description
Technical Field
The invention relates to the technical field of quality detection, in particular to an intelligent quality detection report generation method and system.
Background
Quality detection is an indispensable process in various industries, and for important industries such as building materials, industrial production and the like, the quality detection has mandatory standard requirements, and detection needs to issue detection reports according to the standards so as to facilitate the examination of regulatory agencies.
The existing system capable of generating the detection report is usually generated according to the preset standard in the system, the generation process mainly depends on manual data entry and manual data selection, various processes are fixed, and dynamic change adjustment cannot be achieved. Moreover, when a report needs to be generated in compliance with a new specification, only system developers can develop and adapt to the new specification, and the report can be used by users after the development and adaptation are completed, so that the use is inconvenient and the generation efficiency is low. According to the method and the system for generating the intelligent detection report, the selected data can be intelligently recommended or defaulted in the generation process, manual operation is reduced, a template can be quickly generated according to new specifications without participation of developers, an audit flow is automatically generated, and the load is distributed to auditors in a balanced mode, so that the whole process is intelligent and automatic.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides an intelligent quality detection report generation method and system.
The invention is realized by the following technical scheme:
the invention provides a method for generating an intelligent quality detection report, which comprises the following steps:
s1, initiating creation of a detection report according to detection standard content, and performing characteristic analysis on a creator to obtain a corresponding detection standard template selection sequence;
s2, judging whether the detection standard template sequence has the template required at this time, if so, selecting the template required to be detected and entering S4; otherwise, go to S3;
s3, importing an official document describing standard contents, extracting report characteristic information according to key contents in the official document to generate a new detection standard template, and manually adjusting the new detection standard template to generate a detection standard template corresponding to the standard contents;
s4, inputting source data to be detected, automatically associating the source data to be detected with a detection template, calculating a quality evaluation value and various detection results of the source data to be detected based on a detection standard template, and generating a primary detection report;
and S5, generating a final quality detection report after the primary report is intelligently examined.
The further optimization scheme is that the detection specification template selection sequence is sorted from high to low according to the possibility of the creator in use at this time, and the detection specification template with the highest possibility is selected by default.
The further optimization scheme is that the characteristic analysis performed on the creator mainly comprises the following steps: the unit to which the creator belongs, the department type, the time period of the current application, the times of historical use of each template by the creator in the time period, the accumulated times of historical use of each single template by the current creator, and the template used by the current creator recently.
Further, according to a preferred embodiment, the report characteristic information includes: report display items, calculation formulas and detection requirements.
The further optimization scheme is that the manual adjustment mainly comprises the following steps: reporting the increase and decrease of display items, detection source data items and calculation result items, self-defining parameters, whether to be examined and checked, and the like.
The further optimization scheme is that the intelligent examination process specifically comprises the following steps: intelligently distributing the generated checking examination list to an examiner, and allowing the examiner to pass the examination after confirming no error; and generating a final quality detection report through the reviewed report, and simultaneously recording unique fingerprint information of the report.
The further optimization scheme is that the intelligent distribution specifically comprises the following steps: query for number of people with censorship authority:
if only one is available, directly distributing;
and if the number of the examination orders is more than one, inquiring the number of the examination orders distributed by each examiner, selecting the personnel with the least distributed number, and randomly selecting one of the personnel for distribution.
Further, the present invention also provides an intelligent quality detection report generation system, comprising: the system comprises an initiating module, a characteristic analysis module, a judging module, a template creating module, a first calculating module and an intelligent examining module;
the initiating module initiates the creation of a detection report according to the content of the detection specification;
the characteristic analysis module performs characteristic analysis on the creator to obtain a corresponding detection standard template selection sequence;
the judging module judges whether the detection standard template sequence has the template required at this time;
the template creating module extracts report characteristic information according to key contents in official documents to generate a new detection standard template, and the template creating module generates a detection standard template corresponding to standard contents after manual adjustment;
the first calculation module calculates the quality evaluation value and each detection result of the source data to be detected based on the detection standard template to generate a primary detection report;
and the intelligent examination module intelligently examines the primary detection report and then generates a final quality detection report.
The further optimization scheme is that the intelligent examination module comprises: an intelligent distribution unit and a final report generation unit;
the intelligent distribution unit generates a check and audit check order according to the primary detection report and intelligently distributes the check and audit order to an auditor for audit;
and the final report generating unit is used for generating a final quality detection report through the examined report and recording the unique fingerprint information of the report.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the intelligent quality detection report generation method and system provided by the invention, the report generation process is full-automatic, manual operation is reduced, the generation efficiency is improved, and human errors are not easy to occur; when no corresponding template exists in the system, only the required official document describing the standard content needs to be imported into the system, the system can automatically identify and generate a new corresponding detection standard template, the generation process can intelligently recommend or default selected data, and manual operation is reduced; the template can be quickly generated according to the new specification without the participation of developers, so that the change requirements of policies and standards are met; the examination flow is automatically generated and distributed to examiners in a load balancing way, so that the whole process is intelligent and automatic.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention.
In the drawings:
FIG. 1 is a flow chart of a method of intelligent quality inspection report generation;
FIG. 2 is a diagram illustrating the contents of the official document part specification of an embodiment;
FIG. 3 is a diagram of an embodiment new generation specification report display item;
FIG. 4 is a schematic diagram of a portion of an official document containing symbols according to an embodiment;
FIG. 5 is a diagram illustrating a part of the official document containing the calculation formula according to the embodiment;
FIG. 6 is a diagram illustrating a portion of an official document containing a complex calculation formula according to an embodiment;
FIG. 7 is a diagram illustrating an exemplary inspection report template.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
As shown in fig. 1, an intelligent quality inspection report generation method includes the steps of:
s1, initiating creation of a detection report according to detection standard content, and performing characteristic analysis on a creator to obtain a corresponding detection standard template selection sequence;
s2, judging whether the detection standard template sequence has the template required at this time, if so, selecting the template required to be detected and entering S4; otherwise, go to S3;
s3, importing an official document describing standard contents, extracting report characteristic information according to key contents in the official document to generate a new detection standard template, and manually adjusting the new detection standard template to generate a detection standard template corresponding to the standard contents;
s4, inputting source data to be detected, automatically associating the source data to be detected with a detection template, calculating a quality evaluation value and various detection results of the source data to be detected based on a detection standard template, and generating a primary detection report;
and S5, generating a final quality detection report after the primary report is intelligently examined.
And the detection standard template selection sequence is sorted from high to low according to the possibility of the creator in use, and the detection standard template with the highest selection possibility is defaulted.
The characteristic analysis performed on the creator mainly includes: the unit to which the creator belongs, the department type, the time period of the current application, the times of historical use of each template by the creator in the time period, the accumulated times of historical use of each single template by the current creator, and the template used by the current creator recently.
The report characteristic information includes: report display items, calculation formulas and detection requirements.
The manual adjustment mainly comprises: reporting the increase and decrease of display items, detection source data items and calculation result items, self-defining parameters, whether to be examined and checked, and the like.
The intelligent examination process specifically comprises the following steps: intelligently distributing the generated checking examination list to an examiner, and allowing the examiner to pass the examination after confirming no error; and generating a final quality detection report through the reviewed report, and simultaneously recording unique fingerprint information of the report.
The intelligent allocation specifically comprises the following steps: query for number of people with censorship authority:
if only one is available, directly distributing;
and if the number of the examination orders is more than one, inquiring the number of the examination orders distributed by each examiner, selecting the personnel with the least distributed number, and randomly selecting one of the personnel for distribution.
An intelligent quality inspection report generation system, comprising: the system comprises an initiating module, a characteristic analysis module, a judging module, a template creating module, a first calculating module and an intelligent examining module;
the initiating module initiates the creation of a detection report according to the content of the detection specification;
the characteristic analysis module performs characteristic analysis on the creator to obtain a corresponding detection standard template selection sequence;
the judging module judges whether the detection standard template sequence has the template required at this time;
the template creating module extracts report characteristic information according to key contents in official documents to generate a new detection standard template, and the template creating module generates a detection standard template corresponding to standard contents after manual adjustment;
the first calculation module calculates the quality evaluation value and each detection result of the source data to be detected based on the detection standard template to generate a primary detection report;
and the intelligent examination module intelligently examines the primary detection report and then generates a final quality detection report.
Preferably, the intelligent review module comprises: an intelligent distribution unit and a final report generation unit;
the intelligent distribution unit generates a check and audit check order according to the primary detection report and intelligently distributes the check and audit order to an auditor for audit;
and the final report generating unit is used for generating a final quality detection report through the examined report and recording the unique fingerprint information of the report.
Example 2
Taking the standard of the GB/T50081-2019 concrete physical and mechanical property test method as the test specification content to generate a concrete physical and mechanical property test report, initiating the creation of the generated test report according to the test specification content, and performing characteristic analysis on a creator to obtain a corresponding test specification template selection sequence; if the template sequence is judged to be detected to have no template required at this time, the step S3 is executed: importing an official document describing standard content, extracting report characteristic information according to key content in the official document to generate a new detection standard template, and manually adjusting the new detection standard template to generate a detection standard template corresponding to the standard content;
after the official document describing the standard content is imported, the system identifies some set keywords in the official document, as shown in fig. 2, words (key contents) such as 'record', 'write' and the like appear in the official document, which indicate that the content is the content to be displayed by the report, extracts the corresponding 'entrusted unit name', 'project name and construction position', 'detection project name', 'test piece number', 'test piece manufacturing date' and the like (characteristic information) under the title of the official document into display items of the report, and adds, deletes or modifies the display items in combination with a conventional template to generate the standard report display items, as shown in fig. 3.
The report characteristic information also includes symbols in the file, as shown in fig. 4, the meanings corresponding to the symbols are all special terms, the system automatically performs term matching, and then further identifies the calculation formulas of the detection results, as shown in fig. 5 and 6, after the source data is obtained in the subsequent steps, the results can be automatically calculated according to the formulas, as shown in fig. 7, the compression strength and the like in the table are not manually input, and the results can be automatically calculated when the final report is formed.
Taking a standard file of GB 50204 and 2015 concrete structure engineering construction quality acceptance standard as an example, the numerical value of the detection qualification requirement in the file is identified. And judging whether the test report is qualified or not according to the calculated value in the report or the corresponding value recorded in the report, and recording the result in the test report.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. An intelligent quality inspection report generation method, comprising:
s1, initiating creation of a detection report according to detection standard content, and performing characteristic analysis on a creator to obtain a corresponding detection standard template selection sequence;
s2, judging whether the detection standard template sequence has the template required at this time, if so, selecting the template required to be detected and entering S4; otherwise, go to S3;
s3, importing an official document describing standard contents, extracting report characteristic information according to key contents in the official document to generate a new detection standard template, and manually adjusting the new detection standard template to generate a detection standard template corresponding to the standard contents;
s4, inputting source data to be detected, automatically associating the source data to be detected with a detection template, calculating a quality evaluation value and various detection results of the source data to be detected based on a detection standard template, and generating a primary detection report;
and S5, generating a final quality detection report after the primary report is intelligently examined.
2. The method according to claim 1, wherein the selection sequence of the detection criteria templates is sorted from high to low probability of being used by the creator, and the detection criteria template with the highest probability is selected by default.
3. The intelligent quality inspection report generation method of claim 1, wherein the characteristic analysis of the creator mainly comprises: the unit to which the creator belongs, the department type, the time period of the current application, the times of historical use of each template by the creator in the time period, the accumulated times of historical use of each single template by the current creator, and the template used by the current creator recently.
4. The method of claim 1, wherein the report characterization information comprises: report display items, calculation formulas and detection requirements.
5. The intelligent quality inspection report generation method of claim 1, wherein said manual adjustment mainly comprises: reporting the increase and decrease of display items, detection source data items and calculation result items, self-defining parameters, whether to be examined and checked, and the like.
6. The method for generating an intelligent quality inspection report according to claim 1, wherein the intelligent review process specifically comprises: intelligently distributing the generated checking examination list to an examiner, and allowing the examiner to pass the examination after confirming no error; and generating a final quality detection report through the reviewed report, and simultaneously recording unique fingerprint information of the report.
7. The method of claim 6, wherein the intelligent allocation specifically comprises: query for number of people with censorship authority:
if only one is available, directly distributing;
and if the number of the examination orders is more than one, inquiring the number of the examination orders distributed by each examiner, selecting the personnel with the least distributed number, and randomly selecting one of the personnel for distribution.
8. An intelligent quality inspection report generation system, comprising: the system comprises an initiating module, a characteristic analysis module, a judging module, a template creating module, a first calculating module and an intelligent examining module;
the initiating module initiates the creation of a detection report according to the content of the detection specification;
the characteristic analysis module performs characteristic analysis on the creator to obtain a corresponding detection standard template selection sequence;
the judging module judges whether the detection standard template sequence has the template required at this time;
the template creating module extracts report characteristic information according to key contents in official documents to generate a new detection standard template, and the template creating module generates a detection standard template corresponding to standard contents after manual adjustment;
the first calculation module calculates the quality evaluation value and each detection result of the source data to be detected based on the detection standard template to generate a primary detection report;
and the intelligent examination module intelligently examines the primary detection report and then generates a final quality detection report.
9. The intelligent quality inspection report generation system of claim 8, wherein the intelligent review module comprises: an intelligent distribution unit and a final report generation unit;
the intelligent distribution unit generates a check and audit check order according to the primary detection report and intelligently distributes the check and audit order to an auditor for audit;
and the final report generating unit is used for generating a final quality detection report through the examined report and recording the unique fingerprint information of the report.
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| CN113378560A (en) * | 2021-07-02 | 2021-09-10 | 贵州电网有限责任公司 | Test report intelligent diagnosis analysis method based on natural language processing |
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