A high-precision measurement data digital management method and system

Abstract

The present invention provides a high-precision measurement data digital management method and system, including a data acquisition module, wherein the data acquisition module is wearable glasses equipped with a camera, which is used to acquire measurement images of the object to be measured; a data extraction module, which is used to acquire measurement data from the measurement images; a data management module, wherein the data management module is set with measurement specification data corresponding to the object to be measured, and if the non-text type measurement data matches the corresponding measurement specification data, the current measurement data is defined as passed measurement data; a report generation module, which is used to generate electronic reports based on data recorded during the measurement process; the data acquisition module, the data extraction module, the data management module and the report generation module are communicatively connected to realize digital management of measurement data at the measurement site, improve the efficiency of measurement data management, and reduce the overall measurement data usage cost of the supply chain collaborative production department.

Description

Technical Field

[0001] The present invention relates to the field of intelligent measurement, and in particular to a high-precision measurement data digital management method and system. Background Art

[0002] Existing product inspection and measurement methods in the manufacturing industry often rely on operators manually testing against product specifications and manually recording the test results. Furthermore, for multiple upstream and downstream supply chain links of the same product, every manufacturer in the supply chain must conduct incoming and outgoing material inspections to ensure that manufacturing quality meets specifications.

[0003] The shortcomings of the measurement data generated by traditional manual measurement methods are as follows: ① The measurement data has large errors, and manual operations are prone to errors; ② The operational reliability of measurement data is poor, and it is easily affected by the subjective factors of the operator; ③ The reliability of paper records of measurement data is poor, and the records are easily forged, tampered with, contaminated, and lost; ④ The record management of measurement data is difficult. For manually recorded test reports, the measurement data on the report must be entered and stored on the computer, and for test reports generated by testing equipment, manual integration must be performed according to management specifications. This results in the production and manufacturing department having to regularly concentrate human resources to classify, summarize, integrate, and store test data. ⑤ The circulation of measurement data is difficult. Even for manufacturers upstream and downstream of the same supply chain, each manufacturer has its own quality inspection department and needs to carry out its own inspection process. These standards and specifications vary, the measurement methods vary, the measurement personnel vary, and the measurement data reports vary. Therefore, the measurement data of the same product is difficult to circulate between multiple manufacturers. ⑦ The cost of using measurement data is high. For the measurement cost of the entire supply chain, since measurement data cannot be universal, each manufacturing department must conduct incoming measurement and outgoing measurement, which results in a high cost of using measurement data.

[0004] In summary, in the current product inspection and measurement process, there is a lack of corresponding data management methods and systems for the collection, storage, use and management of measurement data. Summary of the Invention

[0005] The purpose of the present invention is to provide a high-precision measurement data digital management method and system. By digitally managing the data generated during the measurement process throughout the entire process, the errors in manual measurement data operation can be reduced, the efficiency of measurement data management can be improved, the measurement data can be circulated in the supply chain, and the overall measurement data usage cost of the collaborative production departments of the supply chain can be reduced.

[0006] To achieve the above objectives, in a first aspect, the present technical solution provides a high-precision measurement data digital management system, comprising:

[0007] A data acquisition module, wherein the data acquisition module is wearable glasses equipped with a camera, and is used to acquire a measurement image of the object to be measured, wherein the measurement image includes a measurement carrier corresponding to the object to be measured, and the measurement carrier is selected from one or any combination of calipers, steel rulers, two-dimensional elements, three-dimensional elements, display screens, forms, equipment, and instruments;

[0008] A data extraction module, wherein a pre-trained measurement data extraction model is loaded into the data extraction module and is used to obtain measurement data from the measurement image, wherein the measurement data includes text-type measurement data and / or non-text-type measurement data;

[0009] A data management module, wherein the measurement specification data corresponding to the object to be measured is set in the data management module, and is used to compare the non-text measurement data with the corresponding measurement specification data. If the non-text measurement data matches the corresponding measurement specification data, the current measurement data is defined as passed measurement data; otherwise, the current measurement data is marked as warning measurement data;

[0010] A report generation module is used to generate electronic reports based on the data recorded during the measurement process;

[0011] The data acquisition module, data extraction module, data management module and report generation module are communicated with each other.

[0012] In a second aspect, this solution provides a high-precision measurement data digital management method, which is implemented based on the high-precision measurement data digital management system, and includes the following steps:

[0013] Acquire a measurement image of the object to be measured, wherein the measurement image is obtained by photographing the object to be measured through wearable glasses worn by a measurement personnel or other management personnel, and the measurement image includes a measurement carrier corresponding to the object to be measured, and the measurement carrier is selected from one or any combination of a caliper, a steel ruler, a two-dimensional element, a three-dimensional element, a display screen, a form, a device, and an instrument;

[0014] Calling a pre-trained measurement data extraction model to obtain measurement data from the measurement image, where the measurement data includes text-type measurement data and / or non-text-type measurement data;

[0015] Compare the measurement data with the pre-stored measurement specification data. If the measurement data matches the corresponding measurement specification data, the current measurement data is defined as passed measurement data; otherwise, the current measurement data is marked as warning measurement data.

[0016] Generate electronic reports based on the data recorded during the measurement process.

[0017] In a third aspect, the present solution provides a readable storage medium, in which a computer program is stored. The computer program includes a program code for controlling a process to execute a process, and the process includes the high-precision measurement data digital management method described in the second aspect.

[0018] Compared with the existing technology, this technical solution has the following characteristics and beneficial effects:

[0019] 1. This solution builds a complete high-precision measurement data digital management system. It adopts a common product quality measurement data management specification negotiated within the collaborative supply chain, allowing the measurement data of various production and manufacturing departments in the supply chain to circulate, improving the management efficiency of product inspection measurement data in the entire supply chain system, reducing the measurement data usage cost of the entire supply chain system, and thus reducing the production and manufacturing costs of products.

[0020] 2. Through digital management of measurement data, measurement data results can be transmitted in real time to the local area and the Internet cloud at the measurement site of quality inspection, and sent to various collaborative management departments for terminal display. The validity management of measurement data is improved through multi-party authorization and approval, thereby improving the reliability of measurement data.

[0021] 3. Wearable glasses with cameras that have an angle similar to that of the human eye are used to obtain the same visual experience as the operator, making it easier for local and remote managers to have an immersive operating process experience and reduce data errors between the human eye and the image.

[0022] 4. The data extraction module uses visual recognition technology to achieve the effect of identifying data from general measuring instruments and measured items measured manually, as well as electronic form data generated by automatic detection equipment. The report generation module can automatically generate electronic reports by integrating measurement data, thereby systematically improving the management efficiency of measurement data.

[0023] 5. Combine machine learning, visual recognition, image processing and other methods to extract measurement data through the data extraction module to reduce the manual errors existing in manual reading of measurement data and improve measurement efficiency.

[0024] 6. By linking electronic reports with sample storage boxes, full traceability management of samples is achieved, forming a complete traceability control closed loop. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a schematic diagram of the structural framework of the high-precision measurement data digital management system provided by this solution.

[0026] Figure 2 This is a schematic diagram for filling in the incoming material inspection setting data of the high-precision measurement data digital management method provided by this solution.

[0027] Figure 3 This is another schematic diagram for filling in the incoming material inspection setting data of the high-precision measurement data digital management method provided by this solution.

[0028] Figure 4 This is a schematic diagram of a standard template for an electronic form corresponding to this solution.

[0029] Figure 5 It is a schematic diagram of the linkage between the sample storage box and the high-precision measurement data digital management system according to the present invention.

[0030] Figure 6 It is a flowchart of the high-precision measurement data digital management method provided by this solution.

[0031] Figure 7 is a schematic diagram of an electronic device provided according to this solution. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention are within the scope of protection of the present invention.

[0033] Those skilled in the art should understand that, in the disclosure of the present invention, the terms "longitudinal", "transverse", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like to indicate orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the above terms should not be understood as limiting the present invention.

[0034] Example 1

[0035] like Figure 1 As shown, this solution provides a high-precision measurement data digital management system, including:

[0036] A data acquisition module, wherein the data acquisition module is wearable glasses equipped with a camera, and is used to acquire a measurement image of the object to be measured, wherein the measurement image includes a measurement carrier corresponding to the object to be measured, and the measurement carrier is selected from one or any combination of calipers, steel rulers, two-dimensional elements, three-dimensional elements, display screens, forms, equipment, and instruments;

[0037] A data extraction module, wherein a pre-trained measurement data extraction model is loaded into the data extraction module and is used to obtain measurement data from the measurement image, wherein the measurement data includes text-type measurement data and non-text-type measurement data;

[0038] A data management module, wherein the measurement specification data corresponding to the object to be measured is set in the data management module, and is used to compare the non-text measurement data with the corresponding measurement specification data. If the non-text measurement data matches the corresponding measurement specification data, the current measurement data is defined as passed measurement data; otherwise, the current measurement data is marked as warning measurement data;

[0039] A report generation module is used to generate electronic reports based on the data recorded during the measurement process;

[0040] The data acquisition module, data extraction module, data management module and report generation module are communicated with each other.

[0041] The high-precision measurement data digital management system provided by this solution is designed specifically for measurement scenarios. It uses wearable glasses equipped with cameras to collect measurement images of measurement carriers, and then uses measurement data extraction models to extract measurement data from different measurement carriers. It also manages the effectiveness of the measurement data in real time and adopts universal product quality measurement data management specifications negotiated between collaborative supply chains. This allows the measurement data of various production and manufacturing departments in the supply chain to circulate, improves the management efficiency of product inspection measurement data in the entire supply chain system, reduces the cost of using measurement data in the entire supply chain system, and thus reduces the production and manufacturing costs of products.

[0042] About the data acquisition module of this solution:

[0043] The data acquisition module of this solution is selected as wearable glasses equipped with a camera. The measurement personnel or other management personnel wear the wearable glasses to obtain the measurement image of the measurement carrier. The advantage of this is that because the wearable glasses are worn in the position of the measurement personnel or other management personnel's glasses, the observation angle of the camera on the wearable glasses is similar to that of the human eye, which makes the obtained measurement image clear and accurate. The content of the obtained measurement image is similar to the content of the measurement personnel or other management personnel's human eye observation angle, which can reduce the angular error and precision error of the subsequent image processing of the measurement image. At the same time, because the data acquisition module, data extraction module, data management module and report generation module of this solution are connected in communication, the data generated by the data extraction module, data management module or data extraction module can also be displayed in reverse on the wearable glasses, so that the operator or other management personnel can view the feedback results immediately.

[0044] In some embodiments, the data acquisition module additionally includes a control component for use with the wearable glasses, wherein the control component is communicatively connected to the wearable glasses for controlling the wearable glasses. Specifically, the control component is used to control the camera on the wearable glasses to acquire the measurement image capture parameters and trigger the camera to acquire the measurement image. In some embodiments, the control component can be a physical control component, such as a handle, ring, button, mouse, etc.; the control component can also be a virtual control component, such as voice control or visual recognition control.

[0045] It should be emphasized that: since the measurement data of different measurement carriers are different, in order to obtain higher-definition measurement images, the wearable glasses of this solution are loaded with different types of cameras. When the measurement carrier for recording the measurement data is a caliper or a steel ruler, the wearable glasses use a high-resolution telephoto camera; when the measurement carrier for recording the measurement data is a spreadsheet on the display screen, the wearable glasses use a high-frame rate camera; when the measurement carrier for recording the measurement data is a form, the wearable glasses use a wide-angle camera; when the measurement carrier for recording the measurement data is an instrument, the wearable glasses use a camera with a color filter. The choice of the camera for the wearable glasses can be selected through the control component.

[0046] It should be noted that different types of cameras are loaded with image sensors of different accuracy levels. Specifically, when the measurement carrier for recording the measurement data is a caliper or a steel ruler, the wearable glasses use a high-resolution telephoto camera. At this time, a high-precision image sensor can be loaded in the high-resolution telephoto camera; when the measurement carrier for recording the measurement data is a form, the wearable glasses use a wide-angle camera. At this time, an image sensor of ordinary accuracy can be loaded in the wide-angle camera.

[0047] Regarding the measurement images obtained by this solution, the measurement images obtained by this solution may include the measurement carrier corresponding to the measured object, or may include the measured object and the measurement carrier corresponding to the measured object. For example, when the measurement carrier is a display screen, the measurement image does not include the measured object, but only the display screen; when the measurement carrier is a caliper, the measurement image includes the measured object and the corresponding caliper for measurement.

[0048] About the data extraction module of this solution:

[0049] The data extraction module of this solution processes the measurement images with the help of machine learning, visual recognition and image processing technologies to reduce the human error problems existing in manual acquisition of measurement data and greatly improve measurement efficiency.

[0050] It should be noted that the measurement data extracted by the data extraction module of this solution includes text-type measurement data and non-text-type measurement data. There is no measurement specification for text-type measurement data, so this solution only compares the measurement specifications of non-text-type measurement data.

[0051] Specifically, if the measurement carrier for recording the measurement data of the current measurement image is a caliper or a steel ruler, since the caliper and the steel ruler are both made of reflective materials, the reflective characteristics of the caliper and the steel ruler need to be considered when using the data extraction module to read the measurement data on the caliper or the steel ruler. Specifically, after the data extraction module obtains the measurement image, it performs denoising and contrast enhancement on the measurement image to obtain a preprocessed image, and uses the measurement data reading model to read the measurement data in the preprocessed image, wherein the denoising process is to use median filtering or Gaussian filtering to remove noise from the measurement image, and the contrast enhancement is to use histogram equalization to enhance the contrast. The advantage of this is that the numbers and scales on the caliper or steel ruler are more obvious.

[0052] In some embodiments, the step of using the measurement data reading model to read the measurement data from the pre-processed image can be performed as follows: the digital scale interval corresponding to the product under test is extracted, and the measurement data of the product under test is calculated based on the ratio of the distance between the product under test and the two endpoints of the digital scale interval. For example, if the digital scale interval corresponding to the product under test is 3-4 mm, and the distance between the product under test and 3 mm is the same as the distance between the product under test and 4 mm, the calculated measurement data is 3.5 mm.

[0053] In this specific embodiment, the pixel distance between the measurement position of the product to be measured and the two end points of the digital scale interval is identified, and the distance ratio between the product to be measured and the two end points of the digital scale interval is obtained according to the pixel distance.

[0054] In addition, because the reflective properties of the materials used to make standard calipers and steel rulers are similar, the data extraction module binarizes the measurement image, identifies the grayscale values ​​of the scale and the ruler body in the measurement image, and calculates the grayscale difference between the grayscale values ​​of the scale and the ruler body. If the grayscale difference is greater than the set grayscale threshold, it indicates that the current measurement image is incorrect. This method provides reverse feedback to operators or other management personnel to obtain the quality of the measurement image.

[0055] When the measurement carrier for recording the measurement data of the current measurement image is a display screen, if the display screen is a two-dimensional or three-dimensional display screen, a pre-trained measurement data extraction model is used to extract the units of the numbers and the classification text of the numbers on the display screen to facilitate the subsequent integration and classification of the measurement data; if the display screen is a display screen on a caliper, the pre-trained measurement data extraction model is used to read the numbers and decimal points on the display screen and their corresponding positions, where the position of the decimal point is determined by calculating the interval distance between the numbers.

[0056] Since the numbers on the display screen are usually in a fixed-width font with a certain spacing between the numbers, the measurement data extraction model can distinguish each number by measuring the blank area or connected domain on the image, and determine whether the character belongs to the current number by judging the distance between the characters, and then determine the position of the decimal point.

[0057] In some embodiments, the measurement data identified on the display screen is compared with the measurement data read by the caliper. If the comparison is consistent, it means that the measurement data has been successfully and correctly extracted; or the measurement data identified on the display screen is compared with the pre-stored scale order of magnitude constraint standard. If the measurement data is within the scale order of magnitude constraint, it means that the measurement data has been successfully and correctly extracted.

[0058] When the measurement carrier for recording the measurement data of the current measurement image is selected from a form or an instrument, the measurement image is input into a pre-trained measurement data extraction model to extract the measurement data.

[0059] About the data management module:

[0060] The data management module of this solution presets the measurement specification data of the object to be measured. The measurement specification data of this solution adopts the industry's general standards and specifications, or the standards and specifications agreed upon in advance through consultation between multiple upstream and downstream manufacturers. The advantage of this is that it adopts the general product quality measurement data management specifications negotiated among collaborative supply chains, so that the measurement data of various production and manufacturing departments in the supply chain can be circulated.

[0061] Specifically, in some embodiments, the measurement specification data includes measurement item settings, item settings data to be measured, measurement standard settings data, and measurement specification settings data. It should be noted that the measurement specification data includes verification data items for the data range of the measurement data that requires verification, wherein the verification data items pre-store the data range of the current measurement data. In this case, the data management module compares the current measurement data with the data range in the corresponding verification data items. If the current measurement data is within the data range, the current measurement data is marked as passed measurement data; otherwise, the current measurement data is marked as warning measurement data. Of course, the measurement specification data includes non-verification data items for which the data range of the measurement data does not require verification. In this case, the data management module compares the current measurement data with the corresponding non-verification data items to see if they match. If so, the current measurement data is marked as passed measurement data; otherwise, the current measurement data is marked as warning measurement data.

[0062] It should be noted that the data management module of this solution marks the measurement record data of the current object to be measured while presetting the measurement specification data of the object to be measured, where the measurement record data includes one or any combination of the material number, inspection date, acceptance order number, sampling plan, supplier, product name, batch, sampling number, inspection order number, basic number, specification, and quality control specification of the current object to be measured, where the measurement specification data is used to digitally manage the measurement data, and the measurement record data is used to digitally manage the current measurement task, and the measurement specification data and the measurement record data together constitute the incoming material inspection setting data.

[0063] Regarding the setting of the feed inspection setting data in a specific embodiment of this scheme, Figure 2 and Figure 3 As shown, Figure 2 and Figure 3 As shown, the data management module is manually filled with data such as measurement item settings, item settings to be measured, measurement standard settings, measurement specification settings, material number, inspection date, acceptance order number, sampling plan, supplier, product name, batch, sampling number, inspection order number, basic number, specifications, quality control specifications, etc.

[0064] In some embodiments, when the current measurement data is considered passed, the passed measurement data is fed back to the measurement personnel or other management personnel for confirmation before the next measurement data acquisition is executed. In other words, to ensure the accuracy of the measurement data, this solution requires authorization from the measurement personnel or other management personnel even if the system determines that the current measurement data is passed.

[0065] In some embodiments, when the current measurement data is warning measurement data, the warning measurement data is fed back to the measurement personnel to re-measure the current measurement data, or fed back to the management personnel to perform management operations.

[0066] In other words, the measurement data and real-time measurement images of this solution can be distributed in real time to third-party managers through a network distributor, and the third-party managers will perform management operations of the measurement process during the measurement process. The management operations include but are not limited to confirmation and approval, interception processing, re-measurement or authorized distribution, etc., to complete the collaborative confirmation of multiple production departments in the supply chain.

[0067] About the report generation module of this solution:

[0068] The report generation model of this solution generates electronic reports based on data recorded during the measurement process. This data includes, but is not limited to, passed measurement data, text-based measurement data, and failed measurement data for the current object under test. In some embodiments, the report generation module inherits the measurement record data from the data management module and generates an electronic report corresponding to the current object under test based on the measurement record data.

[0069] The report generation module of this solution has pre-stored standard templates for forms, such as Figure 4 This is a schematic diagram of a specific standard template. The form generation module loads the measured data and measurement record data into the standard template to generate an electronic report of the current object under test.

[0070] It should be noted that the electronic reports generated by this solution have a one-to-one correspondence with the corresponding measured objects. In some specific embodiments, unique object identification information is generated for each electronic report, displayed on the electronic report, and attached to the corresponding measured object, thereby facilitating subsequent traceability management of the measured objects.

[0071] In addition, the high-precision measurement data digital management system provided by this solution is used in conjunction with a sample storage box, where the sample storage box is used to store measured objects. In this case, the high-precision measurement data digital management system additionally includes:

[0072] The sample storage management module selects and opens a unique storage location of the sample storage box according to the type of the measured object to generate link data, seals and stores the measured object, and associates the electronic report of the measured object with the link data of the current unique storage location.

[0073] In some embodiments, the link data may be data that uniquely identifies the measured object, such as a QR code, a barcode, or a material number of the measured object.

[0074] Similarly, when an operator or other manager opens the unique storage location of the item to be found in the sample storage box through linked data, the sample storage management module simultaneously pushes an electronic report of the item to be found. The advantage of this is that by linking the sample storage box with the electronic report, the loss of measured items can be avoided, thus forming a complete traceability control closed loop.

[0075] In a specific embodiment, the operator or other management personnel can first search for the sample material number and then enter the sample material number on the screen of the sample storage box. The sample storage box can then automatically open the sample storage grid where the item currently to be searched is stored, and display a QR code on the display screen of the sample storage box. The operator can open the electronic report after scanning the QR code.

[0076] The schematic diagram of the sample storage box provided by this solution is as follows Figure 5 As shown, the sample storage box is equipped with a display screen. When an operator or other management personnel enters the link data of the measured object to be retrieved on the display screen, the corresponding unique storage location is opened. At the same time, the display screen displays an electronic report of the current item, allowing the operator or other management personnel to view the electronic report of the current item. Of course, the electronic report can be displayed in the form of a QR code or other link.

[0077] Example 2

[0078] Based on the same concept, refer to Figure 6 This application also proposes a high-precision measurement data digital management method based on the above-mentioned high-precision measurement data digital management system, including:

[0079] Acquire a measurement image of the object to be measured, wherein the measurement image is obtained by photographing the object to be measured through wearable glasses worn by a measurement personnel or other management personnel, and the measurement image includes a measurement carrier corresponding to the object to be measured, and the measurement carrier is selected from one or any combination of a caliper, a steel ruler, a two-dimensional element, a three-dimensional element, a display screen, a form, a device, and an instrument;

[0080] Calling a pre-trained measurement data extraction model to obtain measurement data from the measurement image, the measurement data includes text-type measurement data and non-text-type measurement data;

[0081] Compare the non-text type measurement data with the pre-stored measurement specification data. If the non-text type measurement data matches the corresponding measurement specification data, define the current measurement data as passed measurement data; otherwise, mark the current measurement data as warning measurement data;

[0082] Generate electronic reports based on the data recorded during the measurement process.

[0083] The high-precision measurement data digital management method of the high-precision measurement data digital management system relies on the digital management system of the high-precision measurement data digital management system based on the above-mentioned embodiment 1. Therefore, the relevant technical features in the digital management method are the same as the content introduction of the digital management system, and will not be described here in detail.

[0084] The following provides a specific example of using a vernier caliper to perform measurement operations to illustrate the high-precision measurement data digital management method:

[0085] 1. The measurement personnel set the shooting parameters of the wearable glasses through the control components;

[0086] 2. The measurement personnel set the incoming material inspection setting data of the current object to be measured according to the object to be measured. The incoming material inspection setting data includes measurement item setting, item to be measured setting, measurement standard setting, measurement specification setting, material number, inspection date, acceptance number, sampling plan, supplier, product name, batch, sampling number, inspection order number, basic number, specification, quality control specification, etc.

[0087] 3. The measuring personnel use the vernier caliper to measure the object to be measured according to the measurement specifications and take a measurement image, in which the measurement image simultaneously captures the vernier caliper, the object to be measured, and the measurement data;

[0088] 4. The measurement data in the measurement image is extracted and compared. If the measurement data shows normal, the measurement personnel confirms it or the management personnel authorizes it to be released, and step 3 is repeated. If the measurement data shows abnormal, an alarm prompts the measurement personnel to re-measure, or the measurement personnel intercepts it, or the management personnel authorizes re-processing, or the management personnel intercepts it, and step 3 is repeated.

[0089] 5. Generate an electronic report of the current object to be measured, and the measurement personnel will confirm the electronic report.

[0090] Of course, the real-time video, measurement images and measurement data during the measurement process can be distributed to multiple third-party managers in real time through a network distributor to facilitate collaborative management of the supply chain.

[0091] Example 3

[0092] This embodiment also provides an electronic device, referring to Figure 7 , including a memory 404 and a processor 402, wherein the memory 404 stores a computer program, and the processor 402 is configured to run the computer program to execute the steps in any of the above-mentioned high-precision measurement data digital management method embodiments.

[0093] Specifically, the processor 402 may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0094] The memory 404 may include a large-capacity memory 404 for data or instructions. The memory 404 may be used to store or cache various data files that need to be processed and / or used for communication, as well as possible computer program instructions executed by the processor 402.

[0095] The processor 402 reads and executes computer program instructions stored in the memory 404 to implement any one of the high-precision measurement data digital management methods in the above embodiments.

[0096] Optionally, the electronic device may further include a transmission device 406 and an input / output device 408 , wherein the transmission device 406 is connected to the processor 402 , and the input / output device 408 is connected to the processor 402 .

[0097] Transmission device 406 may be used to receive or send data via a network.

[0098] The input / output device 408 is used to input or output information. In this embodiment, the input information may be a measurement image, etc., and the output information may be an electronic report, etc.

[0099] Optionally, in this embodiment, the processor 402 may be configured to execute the following steps through a computer program:

[0100] Acquire a measurement image of the object to be measured, wherein the measurement image is obtained by photographing the object to be measured through wearable glasses worn by a measurement personnel or other management personnel, and the measurement image includes a measurement carrier corresponding to the object to be measured, and the measurement carrier is selected from one or any combination of a caliper, a steel ruler, a two-dimensional element, a three-dimensional element, a display screen, a form, a device, and an instrument;

[0101] Calling a pre-trained measurement data extraction model to obtain measurement data from the measurement image, the measurement data includes text-type measurement data and non-text-type measurement data;

[0102] Compare the non-text type measurement data with the pre-stored measurement specification data. If the non-text type measurement data matches the corresponding measurement specification data, define the current measurement data as passed measurement data; otherwise, mark the current measurement data as warning measurement data;

[0103] Generate electronic reports based on the data recorded during the measurement process.

[0104] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be repeated here.

[0105] Embodiments of the present invention can be implemented by computer software, which is executable by the data processor of the mobile device, such as in the processor entity, or is implemented by hardware, or is implemented by a combination of software and hardware. Computer software or programs (also referred to as program products) including software routines, applets and / or macros can be stored in any device-readable data storage medium, and they include program instructions for performing specific tasks. The computer program product can include one or more computer executable components configured to perform the embodiment when the program is running. One or more computer executable components can be at least one software code or a part thereof. In addition, at this point, it should be noted that any box of the logic flow in the figure can represent a program step, or interconnected logical circuits, boxes and functions, or a combination of program steps and logical circuits, boxes and functions. The software can be stored in physical media such as memory chips or storage blocks implemented in the processor, magnetic media such as hard disks or floppy disks, and optical media such as, for example, DVDs and their data variants, CDs. Physical media is non-transient media.

[0106] Those skilled in the art should understand that the technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] The above embodiments merely illustrate several embodiments of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A high-precision measurement data digital management system, characterized in that: include: A data acquisition module, wherein the data acquisition module is a wearable pair of glasses equipped with a camera, and is used to acquire a measurement image of the object being measured, wherein the measurement image includes a measurement carrier corresponding to the object being measured, and the measurement carrier is selected from one or any combination of a caliper, a steel ruler, a two-dimensional image, a three-dimensional image, a display screen, a form, a device, and an instrument. The wearable glasses are loaded with different types of cameras. When the measurement carrier recording the measurement data is a caliper or a steel ruler, the wearable glasses use a high-resolution telephoto camera; when the measurement carrier recording the measurement data is a spreadsheet on a display screen, the wearable glasses use a high-frame-rate camera; when the measurement carrier recording the measurement data is a form, the wearable glasses use a wide-angle camera; when the measurement carrier recording the measurement data is an instrument, the wearable glasses use a camera with a color filter; A data extraction module, wherein a pre-trained measurement data extraction model is loaded into the data extraction module and is used to obtain measurement data from the measurement image, wherein the measurement data includes text-type measurement data and / or non-text-type measurement data; If the measurement carrier for recording the measurement data of the current measurement image is a caliper or a steel ruler, the data extraction module obtains the measurement image, performs denoising and contrast enhancement on the measurement image to obtain a pre-processed image, and uses the measurement data reading model to read the measurement data in the pre-processed image, wherein the digital scale interval corresponding to the product to be measured is extracted, and the measurement data of the product to be measured is calculated based on the ratio of the distance between the product to be measured and the two end points of the digital scale interval; When the measurement carrier for recording the measurement data of the current measurement image is a display screen, if the display screen is a two-dimensional or three-dimensional device data, a pre-trained measurement data extraction model is used to extract the units of the numbers and the classification text of the numbers on the display screen; if the display screen is a display screen on a caliper, the pre-trained measurement data extraction model is used to read the numbers and decimal points on the display screen and their corresponding positions, wherein the position of the decimal point is determined by calculating the interval distance between the numbers; A data management module, wherein the measurement specification data corresponding to the object to be measured is set in the data management module, and is used to compare the non-text measurement data with the corresponding measurement specification data. If the non-text measurement data matches the corresponding measurement specification data, the current measurement data is defined as passed measurement data; otherwise, the current measurement data is marked as warning measurement data; A report generation module is used to generate electronic reports based on the data recorded during the measurement process; The data acquisition module, data extraction module, data management module and report generation module are communicated with each other.

2. The high-precision measurement data digital management system according to claim 1 is characterized in that: The data acquisition module includes a control component used with the wearable glasses, wherein the control component is used to control the shooting parameters of the camera on the wearable glasses to obtain the measurement image, and to trigger the camera to obtain the measurement image.

3. The high-precision measurement data digital management system according to claim 1, characterized in that: The data management module presets the measurement specification data of the object to be measured and marks the measurement record data of the current object to be measured. The measurement specification data is used to digitally manage the measurement data, and the measurement record data is used to digitally manage the current measurement task. The measurement specification data and the measurement record data together constitute the incoming material inspection setting data.

4. The high-precision measurement data digital management system according to claim 1, characterized in that: The measurement data is distributed to third-party managers in real time through a network distributor, and the third-party managers perform management operations of the measurement process during the measurement process, where the management operations are one or any combination of confirmation, interception, re-measurement or authorized distribution.

5. The high-precision measurement data digital management system according to claim 1, characterized in that: include: a sample storage management module, wherein the sample storage management module selects and opens a unique storage location of the sample storage box according to the type of the measured object, generates link data, and associates the electronic report of the measured object with the link data of the current unique storage location; When an operator or other management personnel opens the storage location of the measured object in the sample storage box through link data, the sample storage management module simultaneously pushes an electronic report of the measured object.

6. A method for digital management of high-precision measurement data, implemented based on the high-precision measurement data digital management system according to any one of claims 1 to 5, comprising the following steps: Acquire a measurement image of the object to be measured, wherein the measurement image is obtained by photographing the object to be measured through wearable glasses worn by a measurement personnel or other management personnel, and the measurement image includes a measurement carrier corresponding to the object to be measured, and the measurement carrier is selected from one or any combination of a caliper, a steel ruler, a two-dimensional element, a three-dimensional element, a display screen, a form, a device, and an instrument; Calling a pre-trained measurement data extraction model to obtain measurement data from the measurement image, where the measurement data includes text-type measurement data and / or non-text-type measurement data; Compare the non-text type measurement data with the pre-stored measurement specification data. If the non-text type measurement data matches the corresponding measurement specification data, define the current measurement data as passed measurement data; otherwise, mark the current measurement data as warning measurement data; Generate electronic reports based on the data recorded during the measurement process.

7. A readable storage medium, characterized in that: The readable storage medium stores a computer program, wherein the computer program includes a program code for controlling a process to execute a process, wherein the process includes the high-precision measurement data digital management method according to claim 6.

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