CN115983615A - Detection full-process digital processing method - Google Patents
Detection full-process digital processing method Download PDFInfo
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- CN115983615A CN115983615A CN202310032901.8A CN202310032901A CN115983615A CN 115983615 A CN115983615 A CN 115983615A CN 202310032901 A CN202310032901 A CN 202310032901A CN 115983615 A CN115983615 A CN 115983615A
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Abstract
The invention provides a detection full-flow digital processing method, which comprises the following steps: the method comprises the steps that a sample collection person scans bar codes of samples, inspection materials are introduced into a system, the introduction work is completed, a printed sample handover and disposal registration form is generated, the sample collection person selects the detection levels and detection items of the sample collection materials, submits and generates a printing detection order, the printing detection order is automatically pushed to a corresponding team, the detection order is respectively distributed to an electric team and a mechanical team after the corresponding team receives tasks, the testing person carries out test detection with relevant detection items after the detection order is pushed to the electric team or the mechanical team, when the testing person carries out test detection on the relevant detection items, detection data are automatically collected through a work station, and the specification of the detection data is manually confirmed. The detection full-process digital processing method provided by the invention optimizes the business process, reduces the human intervention and resource internal consumption, and reduces the enterprise operation management cost.
Description
Technical Field
The invention relates to the field of power grid material quality detection, in particular to a full-flow digital detection processing method.
Background
The quality detection of the power grid materials is used as a control means for the quality management of the power grid enterprise materials, is connected with a material supplier and an engineering construction site, and is related to the safe and stable operation of the power grid engineering. Therefore, for deeply implementing the development strategy of 'quality strong network', the national power grid company puts forward the requirements of strengthening the management of the power grid material sampling inspection process, promoting the material sampling inspection business process to be clearer, transparent, standard and efficient and putting good power grid materials into the network quality gateway.
Before the detection center, the same as other centers, manual circulation is adopted after a sample is received, material detection data is recorded manually, a test report is issued manually, the uniqueness of the sample cannot be well guaranteed by personnel in the manual circulation process, and meanwhile, the recording of the detection data and the issuing of the test report are often completed by three to four persons, so that the accuracy of the test report is low and the timeliness is poor.
Therefore, it is necessary to provide a method for detecting full-flow digitization to solve the above technical problems.
Disclosure of Invention
The invention provides a full-flow digital processing method for detection, which solves the problems that the uniqueness of a sample cannot be well guaranteed in the manual circulation process of personnel, and meanwhile, the test report is low in accuracy and poor in timeliness due to the fact that the test report can be completed by multiple persons when detection data are recorded and a test report is issued.
In order to solve the technical problem, the invention provides a detection full-flow digital processing method, which comprises the following steps:
s1, a sample collector scans bar codes of samples, introduces inspection materials into a system, completes introduction work and generates a printed sample handover and disposal registration form;
s2, selecting the detection level and the detection item of the collected sample material by a sample collector;
s3, submitting and generating a printing detection order, automatically pushing the printing detection order to a corresponding team, and distributing the detection order to an electric team and a mechanical team respectively after the corresponding team receives a task;
s4, when the detection order is pushed to the electric class or the mechanical class, the tester has related detection items to perform test detection, and when the tester performs test detection on the related detection items, the tester automatically acquires detection data through a station and manually confirms the detection data specification;
s5, generating a detection report template preliminarily;
s6, finishing detection individually and automatically dragging to a detection primary inspector;
and S7, automatically acquiring detection data at the station in the S4, manually confirming the detection data to be standard, allowing the detection data to pass the audit of an initial auditor, performing the test redoing when the audit does not pass, performing the audit of a technician after the audit passes, allowing the technician to pass the audit after the audit passes, and automatically generating a final version detection report after the final auditor passes the audit.
Preferably, in S1, a plurality of steps need to be consolidated during sample information collection:
s11, consolidation measures: device management and device usage;
s12, content consolidation: tool archiving and personnel training;
s13, consolidation method: the bar code printer and the bar code scanning gun are brought into the detection tool for management and special training is carried out on the sample collecting personnel.
Preferably, the step of performing the detection level and the detection entry of the collected sample material in S2 needs to consolidate a plurality of steps:
s21, consolidation measures: flow use and flow solidification;
s22, content consolidation: personnel training and periodic verification;
s23, consolidation method: and carrying out digital tool application training on detection all-service personnel and analyzing the process normalization according to the sample detection condition every month.
Preferably, the detection data acquisition in S4 needs to be consolidated with several steps:
s41, consolidation measures: the data acquisition rate is improved;
s42, content consolidation: equipment transformation;
s43, consolidation method: and the digital upgrading and reconstruction of the detection instrument are carried out by stages according to the service condition of the equipment.
Preferably, the generation of the test report in S5 needs to consolidate several steps:
s51, consolidation measures: the report normalization is consolidated;
s52, content consolidation: reporting the template;
s53, consolidation method: and tracking the updating condition of the normative template of the upper-level detection report in real time, and updating the internal report template of the software in time.
Preferably, the reporting of the audit in S7 needs to consolidate several steps:
s71, consolidation measures: the reliability of the audit is consolidated;
s72, content consolidation: curing process responsibilities;
s73, consolidation method: and configuring the authority responsibility of the solidified account according to the specific situation of the person responsible for the detection process.
Preferably, in S1, each test sample is assigned a unique barcode, which corresponds to the following content of the sample: the method comprises the following steps of firstly, basic information including sample name, specification model, inspection unit, inspection time, detection time, inspector, detection item and validity period; the second is technical information including detection reports and detection results.
Compared with the related technology, the detection full-flow digital processing method provided by the invention has the following beneficial effects:
the invention provides a full-flow digital processing method for detection, which optimizes the business flow, reduces human intervention and resource internal consumption, reduces the operation and management cost of enterprises, improves the decision analysis capability of enterprise management, and ensures that enterprise management is more standard because information integration helps enterprise decision makers to comprehensively know the operation condition of the enterprises.
Drawings
FIG. 1 is a schematic structural diagram of a preferred embodiment of a full-flow digital processing method for detection according to the present invention;
FIG. 2 is a chart of the formulation consolidation measures;
FIG. 3 is a schematic view of sample information collection;
FIG. 4 is a schematic view of a detection process;
FIG. 5 is a schematic view of a test data acquisition design;
FIG. 6 is a schematic diagram of a test report generation design;
FIG. 7 is a schematic view of a report review process;
FIG. 8 is a schematic diagram of a parallel issuing method adopted in the detection process;
FIG. 9 is a schematic diagram of software generating a test report according to a template;
figure 10 is a schematic view of an audit test report by sample.
Detailed Description
The invention is further described below with reference to the drawings and the embodiments.
First embodiment
Please refer to fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6, fig. 7, fig. 8, fig. 9 and fig. 10 in combination, wherein fig. 1 is a schematic structural diagram of a preferred embodiment of a full-flow digital processing method for detection according to the present invention; FIG. 2 is a table of developed consolidation actions; FIG. 3 is a schematic view of sample information collection; FIG. 4 is a schematic view of a detection process; FIG. 5 is a schematic view of a test data acquisition design; FIG. 6 is a schematic diagram of a test report generation design; FIG. 7 is a schematic view of a report review process; FIG. 8 is a schematic diagram of a parallel issuing method adopted in the detection process; FIG. 9 is a schematic diagram of software generating a test report according to a template; figure 10 is a schematic view of an audit test report by sample. A detection full-flow digital processing method comprises the following steps:
s1, a sample collector scans bar codes of samples, imports inspection materials into a system, finishes import work and generates a printed sample handover and disposal registration form;
s2, selecting the detection level and the detection item of the collected sample material by a sample collector;
s3, submitting and generating a printing detection order, automatically pushing the printing detection order to a corresponding team, and distributing the detection order to an electric team and a mechanical team respectively after the corresponding team receives a task;
s4, when the detection order is pushed to the electric class or the mechanical class, the tester has related detection items to perform test detection, and when the tester performs test detection on the related detection items, the tester automatically acquires detection data through a station and manually confirms the detection data specification;
s5, generating a detection report template preliminarily;
s6, finishing detection individually and automatically dragging to a detection primary inspector;
and S7, automatically acquiring detection data at the station in the S4, manually checking the detection data by a primary auditor when the detection data is confirmed to be standard, redoing the test when the check is not passed, auditing by a technician after the check is passed, auditing by a final auditor after the audit is passed by the technician, and automatically generating a final version detection report after the final auditor passes the check.
In the step S1, a plurality of steps need to be consolidated during sample information acquisition:
s11, consolidation measures: device management and device usage;
s12, content consolidation: tool archiving and personnel training;
s13, consolidation method: the bar code printer and the bar code scanning gun are brought into the detection tool for management and special training is carried out on the sample collecting personnel.
In the step S2, a plurality of steps are needed to be consolidated for detecting the level and the item of the collected sample material:
s21, consolidation measures: flow use and flow solidification;
s22, content consolidation: personnel training and periodic verification;
s23, consolidation method: and carrying out digital tool application training on detection all-service personnel and analyzing the flow normalization according to the sample detection condition every month.
In the step S4, the detection data acquisition needs to be consolidated by several steps:
s41, consolidation measures: the data acquisition rate is improved;
s42, content consolidation: equipment transformation;
s43, consolidation method: and the digital upgrading and reconstruction of the detection instrument are carried out by stages according to the service condition of the equipment.
The test report generation in S5 needs to consolidate several steps:
s51, consolidation measures: the report normalization is consolidated;
s52, content consolidation: reporting the template;
s53, consolidation method: and tracking the updating condition of the normative template of the upper-level detection report in real time, and updating the internal report template of the software in time.
The reporting of the audit in S7 requires several steps to be consolidated:
s71, consolidation measures: the reliability of the audit is consolidated;
s72, content consolidation: curing process responsibility;
s73, consolidation method: and configuring a solidified account authority according to the specific situation of the person responsible for the detection process.
In S1, each test sample is assigned a unique barcode, which corresponds to the following content of the sample: the method comprises the following steps of firstly, basic information including sample name, specification model, inspection unit, inspection time, detection time, inspector, detection item and validity period; and the second is technical information comprising a detection report and a detection result.
Please refer to fig. 3 to find the information input by the demander in the scheme a, which has the following advantages: low cost and simple operation.
The disadvantages are as follows: the serial number can not be reused, the demand side is widely distributed, relevant regulations of detection can not be solved, targeted training can not be realized, work before sample sending is increased, and the improvement of customer satisfaction is not facilitated.
Scheme B collects the personnel of appearance and sweeps bar code, system circulation, the advantage: the bar code can be recycled, and only the bar code needs to be scanned in later detection, so that the efficiency is improved, and the sample has uniqueness.
The disadvantages are as follows: the cost is high, and the bar code is required to be made to meet the requirement when the sample is taken for the first time.
Please refer to fig. 4 to show the serial detection process of the scheme a, which has the following advantages: the operation is simple and the error is not easy to occur.
The disadvantages are as follows: the method has the advantages of time and labor consumption, low customer satisfaction, long detection period and low timeliness, and does not meet the requirements.
Scheme B detects the flow in parallel, the advantage: the time is saved, the customer satisfaction is improved, and the timeliness of material detection is ensured.
The disadvantages are as follows: the personnel need stronger professional skills and higher responsibility to meet the requirements.
Please refer to fig. 5 to see that the database of the scheme a is directly accessed, which has the following advantages: the execution efficiency is relatively high, and the processing logic is relatively simple.
The disadvantages are that: when the data volume is large, the data load is overlarge, the test is interrupted possibly due to uncertain factors in the test process, a software company is inconvenient to capture data when performing the operation of increasing, deleting, modifying and checking the database, the data of the database of the software company and the hardware manufacturer are not reversible, the hardware manufacturer and the software company cannot operate the database at the same time, the mutual restriction is caused, and the requirements are not met.
Scheme B temporary library has the advantages: software companies and hardware manufacturers can handle various abnormal conditions; the temporary database is built, so that the respective database is not subjected to irreversible data caused by external factors, a software company uploads an interface according to batches, a hardware manufacturer is small in processed data volume and relatively simple in operation, historical transmission data can be stored more conveniently, and the basic defect is overcome for future inquiry.
The disadvantages are as follows: the execution efficiency is relatively low, the processing logic is relatively complex, and the requirements are met.
Please refer to fig. 6 to find that the scheme a manually enters the data generation report, which has the following advantages: the cost is low.
The disadvantages are as follows: the report compiling time is long, the error is easy to occur, the accuracy rate is low, the customer satisfaction degree is low, and the requirements are not met.
The scheme B system makes a template automatic generation report, and has the advantages that: the time and the labor are saved, the accuracy is improved, the customer satisfaction degree is improved, and the timeliness of material detection is ensured.
The disadvantages are that: the cost is high and meets the requirement.
Please refer to fig. 7, it can be seen that the review by lot for the scheme a has the following advantages: the same batch will not report less.
The disadvantages are as follows: the auditing time is long, the auditing is easy to make mistakes, and the auditing period is long and does not meet the requirements.
Protocol B was reviewed as a separate sample, with the advantages: the auditing time is short, the auditing efficiency is high, the customer satisfaction is improved, and the timeliness of material detection is ensured.
The disadvantages are as follows: the report of the same batch is in accordance with the requirement.
Please refer to fig. 8 for the implementation: and the group takes the sample code as the only tracing source and sends the sample to each detection station in parallel according to the detection items.
Target verification: and the group issues a simulated sample detection task, and tracks the sample data flow to the whole process, so that the verification result meets the design requirement, and the target is realized.
And (3) implementation three: real-time acquisition of detection data by adopting temporary library
The implementation process comprises the following steps: and (4) organizing to build a temporary detection data base, unifying coding and communication protocols by the group aiming at a background of a detection equipment manufacturer. After the background data of the detection instrument is temporarily stored in the temporary library, corresponding fields are correspondingly read.
Target verification:
the team develops joint debugging joint test through an organization manufacturer, detection data in a detector with a background machine are collected and uploaded in real time, the result meets the design requirement, and the target is achieved.
Please refer to FIG. 9 for the fourth embodiment: the software correspondingly generates a test report according to the template
The implementation process comprises the following steps: the group imports a detection report formatting template specified by a superior level into software, and the software captures data fields in the report to form a detection report.
Target verification:
the group manually reviews and verifies the test report generated by the software by tracking the sample detection data, and the software generated report is standard and accurate in data and meets the requirements of the superior standard. The result meets the design requirement, and the target is realized.
Please refer to fig. 10 to obtain the fifth embodiment: examination and test report by sample
The implementation process comprises the following steps: and the group takes the single sample as the only source tracing, and triggers an auditing process after the detection is completed and a sample detection report is generated.
Target verification:
and (4) the group performs tracking verification on the audit process of the sample detection report, so that the result meets the design requirement and the target is realized.
Examination of effects
The QC activity effect check
After the countermeasure was implemented, the team checked the digitalized tool operation at 9-10 months 2022, and the objective was achieved as shown in table 8.
Analysis of economic benefits
After the strategy is implemented, the data integration level is improved, the data unification of the work flow and the operation flow is realized, and the service processing efficiency is doubled.
The method realizes the purposes of saving the generation time of the detection report by 55%, saving the recording time of the detection data by 91% and reducing the labor of the detection report by 56%.
Management benefit analysis
The business process is optimized, the human intervention and the resource internal consumption are reduced, and the enterprise operation management cost is reduced;
the enterprise management decision analysis capability is improved, and the enterprise management is more standard because the information integration helps enterprise decision makers to comprehensively know the operation condition of the enterprise.
Social benefit analysis
The QC activity solves the problems of poor timeliness and low accuracy of detection reports, successfully develops a full-flow digital detection processing tool, leads to the innovative development of digitization and networking of material quality management, provides technical support for improving customer satisfaction and creating national-level high and new technology enterprises through transformation and upgrading, and establishes brand images of innovation and creation.
The QC group for detecting the operation and maintenance big data gives full play to the clever intelligence of each member, remarkably completes the work of developing a full-flow digital processing tool for detection, further enhances the digitization, informatization and innovation consciousness of the group members through the activity, greatly improves the innovation capacity for problems, improves the QC knowledge level, enhances the coordination capacity of the group and increases the cohesion.
Through the activity, a set of digital processing tool is developed and put into practice in a company-saving system by a small group, the problems of long period, time and labor consumption and low accuracy rate of manual compilation of test reports are solved, the economic benefit of enterprises is improved, the test efficiency and the accuracy rate of the reports are ensured, and the method has good popularization value.
Compared with the related technology, the detection full-flow digital processing method provided by the invention has the following beneficial effects:
the invention provides a full-flow digital processing method for detection, which optimizes the business flow, reduces human intervention and resource internal consumption, reduces the operation and management cost of enterprises, improves the decision analysis capability of enterprise management, and ensures that enterprise management is more standard because information integration helps enterprise decision makers to comprehensively know the operation condition of the enterprises.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A detection full-flow digital processing method is characterized by comprising the following steps:
s1, a sample collector scans bar codes of samples, imports inspection materials into a system, finishes import work and generates a printed sample handover and disposal registration form;
s2, selecting the detection level and the detection item of the collected sample material by a sample collector;
s3, submitting and generating a printing detection order, automatically pushing the printing detection order to a corresponding team, and distributing the detection order to an electric team and a mechanical team respectively after the corresponding team receives a task;
s4, when the detection order is pushed to an electric class or a mechanical class, the tester further has related detection items to perform test detection, when the tester performs test detection on the related detection items, the tester automatically acquires detection data through a station and manually confirms the specification of the detection data;
s5, generating a detection report template preliminarily;
s6, finishing detection individually and automatically dragging to a detection primary inspector;
and S7, automatically acquiring detection data at the station in the S4, manually checking the detection data by a primary auditor when the detection data is confirmed to be standard, redoing the test when the check is not passed, auditing by a technician after the check is passed, auditing by a final auditor after the audit is passed by the technician, and automatically generating a final version detection report after the final auditor passes the check.
2. The detection full-flow digital processing method as claimed in claim 1, wherein in S1, a plurality of steps are consolidated during sample information collection:
s11, consolidation measures: device management and device usage;
s12, content consolidation: tool archiving and personnel training;
s13, consolidation method: the bar code printer and the bar code scanning gun are brought into the detection tool for management and special training is carried out on the sample collecting personnel.
3. The detection full-flow digital processing method according to claim 1, wherein the detection level and detection items of the sample collection materials in S2 need to be consolidated by a plurality of steps:
s21, consolidation measures: flow use and flow solidification;
s22, content consolidation: personnel training and periodic verification;
s23, consolidation method: and carrying out digital tool application training on detection all-service personnel and analyzing the flow normalization according to the sample detection condition every month.
4. The detection full-flow digital processing method according to claim 1, wherein the detection data acquisition in S4 requires several steps to be consolidated:
s41, consolidation measures: the data acquisition rate is improved;
s42, content consolidation: equipment transformation;
s43, consolidation method: and the digital upgrading and reconstruction of the detection instrument are carried out by stages according to the service condition of the equipment.
5. The detection full-flow digital processing method according to claim 1, wherein the test report generation in S5 needs to consolidate several steps:
s51, consolidation measures: the report normalization is consolidated;
s52, content consolidation: reporting the template;
s53, consolidation method: and tracking the updating condition of the normative template of the upper-level detection report in real time, and updating the internal report template of the software in time.
6. The detection full-flow digital processing method according to claim 1, wherein the report of auditing in S7 needs to be consolidated by several steps:
s71, consolidation measures: the reliability of the audit is consolidated;
s72, content consolidation: curing process responsibility;
s73, consolidation method: and configuring the authority responsibility of the solidified account according to the specific situation of the person responsible for the detection process.
7. The detection full-flow digital processing method according to claim 1, wherein in S1, each detection sample is assigned with a unique barcode corresponding to the following content of the sample: the method comprises the following steps of firstly, basic information comprises a sample name, a specification model, a delivery unit, delivery time, detection time, a detector, a detection item and an expiration date; the second is technical information including detection reports and detection results.
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