Nuclear power plant storage material acceptance method and nuclear power plant storage material acceptance device

Abstract

The invention relates to a nuclear power plant storage material acceptance method and device. The method comprises the following steps: S1, scanning standard spare parts which are put in storage for the first time through a 3D scanner to obtain a three-dimensional nominal model; s2, performing comparative analysis on the three-dimensional nominal model and a three-dimensional model to be checked and accepted, wherein the three-dimensional model to be checked and accepted is obtained by scanning spare parts which are not to be stored for the first time and have the same model as the standard spare parts through a 3D scanner; and the contrastive analysis results of the three-dimensional nominal model and the three-dimensional model to be accepted within the tolerance, the part exceeding the tolerance and the part exceeding the range are displayed in a three-dimensional deviation chromatogram form. And S3, judging whether the to-be-accepted three-dimensional model is qualified or not according to the part exceeding the tolerance or the range, and further determining whether the spare part with the same model as the standard spare part is qualified or not. According to the method, the conditions of different parts can be more intuitively described through visual display, a scientific and effective basis is provided for quality identification of spare parts, and the acceptance efficiency, acceptance collaboration and result reliability are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of nuclear power plant storage technology, and in particular to a method and apparatus for accepting stored materials in nuclear power plants. Background Technology

[0002] Nuclear power plants have a large number of spare parts, with tens of thousands of spare parts stored in the same warehouse. These spare parts are of different models and sizes. It is impossible to verify the quality of the spare parts entering the warehouse through manual screening. How to quickly and accurately inspect the spare parts entering the warehouse is a problem that needs to be solved. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method and apparatus for accepting stored materials in nuclear power plants.

[0004] The technical solution adopted by this invention to solve its technical problem is: a method for accepting stored materials in a nuclear power plant, which includes the following steps: S1. Scan the standard spare parts that are entering the warehouse for the first time using a 3D scanner to obtain a three-dimensional nominal model; S2. Compare and analyze the three-dimensional nominal model with the three-dimensional model to be accepted obtained by scanning the three-dimensional nominal model with the spare parts of the same model as the standard spare parts that are not being put into the warehouse for the first time. The comparison and analysis results of the three-dimensional nominal model and the three-dimensional model to be accepted in the form of a three-dimensional deviation chromatogram are displayed in terms of the tolerance, the part that exceeds the tolerance, and the part that exceeds the range. S3. Determine whether the 3D model to be accepted is qualified based on the part that exceeds the tolerance or the range, and then determine whether the spare parts of the same model as the standard spare parts are qualified.

[0005] Furthermore, in the nuclear power plant storage material acceptance method of the present invention, step S1 includes: A 3D nominal model is obtained by scanning the standard spare parts that are entering the warehouse for the first time using a 3D scanner. CAD perception measurement and GD&T technology are then used to measure various characteristic parameters of the standard spare parts and mark them on the 3D nominal model.

[0006] Furthermore, in the nuclear power plant storage material acceptance method of the present invention, the various characteristic parameters include multiple data such as length, angle, radius, ellipse size, hole depth, countersunk hole diameter, straightness, flatness, roundness, cylindricity, parallelism, perpendicularity, angle, position, concentricity, symmetry, and linearity.

[0007] Furthermore, in the nuclear power plant storage material acceptance method of the present invention, step S2 includes: Align the coordinates of the 3D nominal model with the 3D model to be accepted to establish a unified comparison benchmark; Calculate the nearest distance from each point or triangular facet on the 3D model to be accepted to the surface of the 3D nominal model, and generate a comprehensive set of deviation data; The deviation data set is transformed into a three-dimensional deviation chromatogram for presentation, and the key indicators of maximum and minimum deviation are output in the form of a report.

[0008] Furthermore, in the nuclear power plant storage material acceptance method of the present invention, in step S2, if the deviation data is greater than the allowable error threshold, it is determined to be out of range; if the deviation data is greater than the tolerance upper limit, it is determined to be the part exceeding the tolerance; wherein, the tolerance is the entire range of colors displayed, and the allowable error threshold is less than the tolerance upper limit; Step S3 includes: If the three-dimensional deviation chromatogram shows parts that are out of range and / or out of tolerance, then the spare parts of the same model as the standard spare parts are deemed unqualified. If the three-dimensional deviation chromatogram only shows the portion within the tolerance, then the spare part of the same model as the standard spare part is deemed qualified.

[0009] Furthermore, in the nuclear power plant storage material acceptance method described in this invention, the method further includes: The conformity of spare parts of the same model but different batches is verified by comparing historical scan data obtained from two adjacent time points.

[0010] Furthermore, in the nuclear power plant storage material acceptance method of the present invention, the step of verifying the conformity of spare parts of the same model but different batches by comparing historical scan data obtained from two adjacent time points includes: By retrieving historical scan data files of a spare part of the same model from the database using product name, model, material code, or feature point information of the scanned spare part, and comparing historical scan data files from two adjacent time points, an analysis report is output. The analysis report is used to display various mechanical deviation data of different batches of spare parts of the same model, and includes a three-dimensional deviation chromatogram, data tables, and three-dimensional annotations. The data tables include reference values, measured values, deviations, and pass / fail status of each feature parameter.

[0011] Furthermore, in the nuclear power plant storage material acceptance method described in this invention, the method further includes: For spare parts that are deemed unqualified, the corresponding parts are optimized or optimized based on the three-dimensional deviation chromatogram.

[0012] In addition, the present invention also provides a nuclear power plant storage material acceptance device, comprising: The three-dimensional nominal model building unit is used to scan the standard spare parts that are entering the warehouse for the first time using a 3D scanner to obtain a three-dimensional nominal model; The model comparison unit is used to compare and analyze the three-dimensional nominal model with the three-dimensional model to be accepted obtained by scanning the spare parts of the same model as the standard spare parts through a 3D scanner, which is not the first time to be put into the warehouse. The comparison and analysis results of the three-dimensional nominal model and the three-dimensional model to be accepted are displayed in the form of a three-dimensional deviation chromatogram, showing the parts within the tolerance, the parts exceeding the tolerance, and the parts exceeding the range. The acceptance judgment unit is used to determine whether the 3D model to be accepted is qualified based on the part that exceeds the tolerance or the range, and then to determine whether the spare parts of the same model as the standard spare parts are qualified.

[0013] Furthermore, in the nuclear power plant storage material acceptance device of the present invention, the model comparison unit is configured as follows: Align the coordinates of the 3D nominal model with the 3D model to be accepted to establish a unified comparison benchmark; Calculate the nearest distance from each point or triangular facet on the 3D model to be accepted to the surface of the 3D nominal model, and generate a comprehensive set of deviation data; The deviation data set is transformed into a three-dimensional deviation chromatogram for presentation, and the key indicators of maximum and minimum deviation are output in the form of a report.

[0014] The nuclear power plant storage material acceptance method and apparatus of the present invention have the following beneficial effects: The present invention presents the situation in a visual form, which can more intuitively depict the situation of the differences, provide a scientific and effective basis for the quality appraisal of spare parts, solve the limitations of visual inspection by maintenance personnel, and assist professional acceptance personnel in judging whether spare parts meet the parameter standard requirements; it can significantly reduce personnel costs and time waiting costs, reduce the safety risks caused by on-site complexity, and at the same time, the digital model is easy to archive and trace, which can significantly improve acceptance efficiency, acceptance collaboration and result reliability. Attached Figure Description

[0015] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a flowchart illustrating the nuclear power plant storage material acceptance method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of the nuclear power plant storage material acceptance device provided in an embodiment of the present invention. Detailed Implementation

[0016] To provide a clearer understanding of the technical features, objectives, and effects of the present invention, specific embodiments of the invention are now described in detail with reference to the accompanying drawings. In the following description, specific details such as particular system structures and techniques are set forth for illustrative purposes rather than for limiting the scope of the invention, in order to provide a thorough understanding of the embodiments. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted to avoid unnecessary detail that could obscure the description of the invention.

[0017] In a preferred embodiment, reference Figure 1 The nuclear power plant storage material acceptance method in this embodiment includes the following steps: S1. Scan the newly received standard spare parts using a 3D scanner to obtain a three-dimensional nominal model. Specifically, in this step, the newly received standard spare parts are scanned using a 3D scanner to obtain a three-dimensional nominal model. CAD sensing measurement and GD&T technology are then applied to measure various characteristic parameters of the standard spare parts and annotate them onto the three-dimensional nominal model. These characteristic parameters include, but are not limited to, the spare parts' length, angle, radius, elliptical dimensions, hole depth, countersunk hole diameter, straightness, flatness, roundness, cylindricity, parallelism, perpendicularity, angle, position, concentricity, symmetry, and linearity.

[0018] It should be noted that the specific operations for parameter measurement and annotation using CAD-driven metrology and GD&T (Geometric Dimensioning and Tolerancing) technology in this application can be found in existing technologies and will not be elaborated here.

[0019] It is understood that the 3D scanner in this application is used for rapid scanning and creation of 3D models of materials upon warehousing, for digital archiving. 3D scanning technology has a significant advantage in efficient data acquisition, quickly obtaining 3D data of materials and greatly shortening inspection time. Compared to traditional acceptance methods, i.e., manual acceptance, 3D scanners can complete in minutes what traditional inspections take hours or even days, significantly improving acceptance efficiency. While ensuring efficiency, 3D scanners can achieve precision control down to the micrometer level, far exceeding the precision of traditional manual measurement and contact inspection. They can accurately capture the complex geometric structure, subtle surface geometric features, and curved contours of objects, whereas traditional methods often struggle to acquire comprehensive and complex data. To accommodate scanning materials of different sizes, different resolutions can be set in 3D scanning to achieve rapid acquisition of high-precision data. Compared to traditional laser scanners, the tracking scanning system can also achieve laser scanning without the need for marking points, making it suitable for more acceptance scenarios and improving acceptance efficiency.

[0020] S2. Compare and analyze the three-dimensional nominal model with the three-dimensional model to be accepted obtained by scanning the three-dimensional nominal model with the spare parts of the same model as the standard spare parts that are not being put into the warehouse for the first time. The comparison and analysis results of the three-dimensional nominal model and the three-dimensional model to be accepted in the form of a three-dimensional deviation chromatogram are presented. The results are within the tolerance, outside the tolerance, and outside the range.

[0021] In some embodiments, step S2 includes: aligning the coordinates of the 3D nominal model and the 3D model to be accepted to establish a unified comparison benchmark; calculating the nearest distance from each point or triangular facet on the 3D model to the surface of the 3D nominal model to generate a comprehensive set of deviation data; converting the deviation data set into a 3D deviation chromatogram for presentation, and outputting the maximum and minimum deviation key indicators in report form. This embodiment uses this step to accurately identify errors in each batch of equipment or to perform quality traceability.

[0022] S3. Determine whether the 3D model to be accepted is qualified based on the portion exceeding the tolerance or the portion exceeding the range, and then determine whether the spare parts of the same model as the standard spare parts are qualified. It can be understood that if the deviation data is greater than the allowable error threshold, it is determined to be outside the range. If the deviation data is greater than the upper tolerance limit, it is determined to be outside the tolerance. Here, the tolerance refers to the entire range of colors displayed, and the allowable error threshold is less than the upper tolerance limit. Based on this, in step S3, if the 3D deviation chromatogram shows portions exceeding the range and / or exceeding the tolerance, the spare parts of the same model as the standard spare parts are determined to be unqualified. If the 3D deviation chromatogram only shows portions within the tolerance, the spare parts of the same model as the standard spare parts are determined to be qualified.

[0023] It is understood that the nuclear power plant's 3D scanning-based material acceptance method for stored goods, as provided in this embodiment, uses a 3D scanner for secondary scanning and comparison. The first scan generates a three-dimensional nominal model of the standard spare parts, which serves as a benchmark. Subsequent incoming spare parts undergo a second scan to obtain their three-dimensional models. These models are then compared and analyzed with the nominal models, using a visually intuitive three-dimensional deviation chromatogram to display the portions within and outside the tolerances, as well as any deviations beyond the acceptable range. Finally, whether the three-dimensional deviation chromatogram shows portions exceeding the tolerances or exceeding the acceptable range is used as the basis for determining whether the incoming spare parts are qualified.

[0024] This embodiment, based on 3D scanning technology for incoming material acceptance, overcomes the limitations of traditional acceptance methods, such as low efficiency, difficulty in coordinating time, on-site chaos, and safety hazards. Operators can use a 3D scanner to quickly collect high-precision three-dimensional data of various materials and generate a visual inspection report. Experts from different fields can remotely view the 3D data inspection report of the materials without being physically present on-site and can accurately analyze and judge the parts they are responsible for. This significantly reduces personnel costs and waiting time, reduces safety risks caused by on-site complexity, and the digital model facilitates archiving and traceability, thus significantly improving acceptance efficiency, acceptance collaboration, and the reliability of results.

[0025] In some embodiments, the method further includes: verifying the conformity of spare parts of the same model from different batches by comparing historical scan data obtained from two consecutive scans at adjacent time points. Specifically, this step can retrieve historical scan data files of the spare parts of that model stored in the database by product name, model, material code, or feature point information of the scanned spare parts, compare the historical scan data files from two consecutive scans at adjacent time points, and output an analysis report. The analysis report is used to display the various mechanical deviation data of spare parts of the same model from different batches, and includes a three-dimensional deviation chromatogram, data tables, and three-dimensional annotations. The data tables include reference values, measured values, deviations, and conformity status of each feature parameter.

[0026] As can be understood, this embodiment comprehensively presents the quality status of the tested object through an analysis report. This includes basic information such as the tested object information, testing date, and acceptance personnel, as well as detailed dimensional and geometric tolerance measurement results listed according to the control plan. It clearly displays the reference values, measured values, deviations, and pass / fail status of each characteristic parameter. The analysis report visualizes the actual deviations on the surface of the tested object through an intuitive deviation chromatogram, and quickly reveals the overall pass rate and key issues. All content is highly customizable and can be used to determine problems in different batches of spare parts, analyze problems, and trace them. This embodiment can be applied to the conformity verification of equipment of the same model but different batches, providing a scientific and effective basis for spare parts quality assessment, overcoming the limitations of visual inspection by maintenance personnel, and assisting professional acceptance personnel in determining whether spare parts meet parameter standard requirements. In a certain nuclear power plant storage facility, the number of scanned material categories is estimated to be 72,000. This method can not only effectively identify batch consistency between spare parts of the same model but different batches, but also provide crucial data support for quality traceability.

[0027] In some embodiments, the method further includes: for spare parts determined to be unqualified, optimizing or prompting optimization processing of the corresponding parts based on the three-dimensional deviation chromatogram. It is understood that the method in this embodiment can determine the model object or scan data object for comparative analysis according to inspection requirements. For example, deviations can be found by comparing the three-dimensional model to be accepted with the three-dimensional nominal model, and then the parts can be optimized and reprocessed based on the deviation information. Alternatively, through continuous optimization, only the three-dimensional model data to be accepted obtained from the current scan needs to be compared with the scan data after the most recent optimized processing, to achieve targeted and rapid identification of the qualified verification of the optimized processing object.

[0028] In another preferred embodiment, reference Figure 2 The nuclear power plant storage material acceptance device in this embodiment includes: The three-dimensional nominal model building unit is used to scan the standard spare parts that are entering the warehouse for the first time using a 3D scanner to obtain a three-dimensional nominal model.

[0029] The model comparison unit is used to compare and analyze the three-dimensional nominal model with the three-dimensional model to be accepted obtained by scanning the three-dimensional part with the same model as the standard part through a 3D scanner. The comparison and analysis results of the three-dimensional nominal model and the three-dimensional model to be accepted are displayed in the form of a three-dimensional deviation chromatogram, showing the parts within the tolerance, the parts exceeding the tolerance, and the parts exceeding the range.

[0030] The acceptance judgment unit is used to determine whether the 3D model to be accepted is qualified based on the part that exceeds the tolerance or the range, and then to determine whether the spare parts of the same model as the standard spare parts are qualified.

[0031] In some embodiments, the model comparison unit is configured to: align the coordinates of the 3D nominal model and the 3D model to be accepted to establish a unified comparison benchmark; calculate the nearest distance from each point or triangular facet on the 3D model to the surface of the 3D nominal model, generating a comprehensive set of deviation data; convert the deviation data set into a 3D deviation chromatogram for presentation, and output the key indicators of maximum and minimum deviation in report form.

[0032] This embodiment presents the differences in a visual format, providing a more intuitive depiction of the disparate parts and offering a scientific and effective basis for spare parts quality assessment. It overcomes the limitations of visual inspection by maintenance personnel and assists professional acceptance personnel in determining whether spare parts meet parameter standards. It can significantly reduce personnel and waiting time costs, reduce safety risks caused by on-site complexity, and the digital model facilitates archiving and traceability, thereby significantly improving acceptance efficiency, acceptance collaboration, and the reliability of results.

[0033] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0034] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0035] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for accepting stored materials in a nuclear power plant, characterized in that, The method includes the following steps: S1. Scan the standard spare parts that are entering the warehouse for the first time using a 3D scanner to obtain a three-dimensional nominal model; S2. Compare and analyze the three-dimensional nominal model with the three-dimensional model to be accepted obtained by scanning the three-dimensional nominal model with the spare parts of the same model as the standard spare parts that are not being put into the warehouse for the first time. The comparison and analysis results of the three-dimensional nominal model and the three-dimensional model to be accepted in the form of a three-dimensional deviation chromatogram are displayed in terms of the tolerance, the part that exceeds the tolerance, and the part that exceeds the range. S3. Determine whether the 3D model to be accepted is qualified based on the part that exceeds the tolerance or the range, and then determine whether the spare parts of the same model as the standard spare parts are qualified.

2. The method for accepting stored materials in nuclear power plants according to claim 1, characterized in that, Step S1 includes: A 3D nominal model is obtained by scanning the standard spare parts that are entering the warehouse for the first time using a 3D scanner. CAD perception measurement and GD&T technology are then used to measure various characteristic parameters of the standard spare parts and mark them on the 3D nominal model.

3. The method for accepting stored materials in nuclear power plants according to claim 2, characterized in that, The various characteristic parameters include multiple data points from length, angle, radius, ellipse size, hole depth, countersunk hole diameter, straightness, flatness, roundness, cylindricity, parallelism, perpendicularity, angle, position, concentricity, symmetry, and linearity.

4. The method for accepting stored materials in nuclear power plants according to claim 1, characterized in that, Step S2 includes: Align the coordinates of the 3D nominal model with the 3D model to be accepted to establish a unified comparison benchmark; Calculate the nearest distance from each point or triangular facet on the 3D model to be accepted to the surface of the 3D nominal model, and generate a comprehensive set of deviation data; The deviation data set is transformed into a three-dimensional deviation chromatogram for presentation, and the key indicators of maximum and minimum deviation are output in the form of a report.

5. The method for accepting stored materials in nuclear power plants according to claim 4, characterized in that, In step S2, If the deviation data is greater than the allowable error threshold, it is determined to be out of range; If the deviation data is greater than the upper limit of the tolerance, it is judged as the part exceeding the tolerance; Wherein, the tolerance is the entire range of colors displayed, and the allowable error threshold is less than the upper limit of the tolerance; Step S3 includes: If the three-dimensional deviation chromatogram shows parts that are out of range and / or out of tolerance, then the spare parts of the same model as the standard spare parts are deemed unqualified. If the three-dimensional deviation chromatogram only shows the portion within the tolerance, then the spare part of the same model as the standard spare part is deemed qualified.

6. The method for accepting stored materials in nuclear power plants according to claim 1, characterized in that, The method also includes: The conformity of spare parts of the same model but different batches is verified by comparing historical scan data obtained from two adjacent time points.

7. The method for accepting stored materials in nuclear power plants according to claim 6, characterized in that, The step of verifying the conformity of spare parts of the same model from different batches by comparing historical scan data obtained from two adjacent time points includes: By retrieving historical scan data files of a spare part of the same model from the database using product name, model, material code, or feature point information of the scanned spare part, and comparing historical scan data files from two adjacent time points, an analysis report is output. The analysis report is used to display various mechanical deviation data of different batches of spare parts of the same model, and includes a three-dimensional deviation chromatogram, data tables, and three-dimensional annotations. The data tables include reference values, measured values, deviations, and pass / fail status of each feature parameter.

8. The method for accepting stored materials in nuclear power plants according to claim 1, characterized in that, The method also includes: For spare parts that are deemed unqualified, the corresponding parts are optimized or optimized based on the three-dimensional deviation chromatogram.

9. A nuclear power plant storage material acceptance device, characterized in that, include: The three-dimensional nominal model building unit is used to scan the standard spare parts that are entering the warehouse for the first time using a 3D scanner to obtain a three-dimensional nominal model; The model comparison unit is used to compare and analyze the three-dimensional nominal model with the three-dimensional model to be accepted obtained by scanning the spare parts of the same model as the standard spare parts through a 3D scanner, which is not the first time to be put into the warehouse. The comparison and analysis results of the three-dimensional nominal model and the three-dimensional model to be accepted are displayed in the form of a three-dimensional deviation chromatogram, showing the parts within the tolerance, the parts exceeding the tolerance, and the parts exceeding the range. The acceptance judgment unit is used to determine whether the 3D model to be accepted is qualified based on the part that exceeds the tolerance or the range, and then to determine whether the spare parts of the same model as the standard spare parts are qualified.

10. The nuclear power plant storage material acceptance device according to claim 9, characterized in that, The model comparison unit is configured as follows: Align the coordinates of the 3D nominal model with the 3D model to be accepted to establish a unified comparison benchmark; Calculate the nearest distance from each point or triangular facet on the 3D model to be accepted to the surface of the 3D nominal model, and generate a comprehensive set of deviation data; The deviation data set is transformed into a three-dimensional deviation chromatogram for presentation, and the key indicators of maximum and minimum deviation are output in the form of a report.

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