High-precision measurement data digital management method and system

Abstract

The invention provides a high-precision measurement data digital management method and system, and the system comprises a data obtaining module which is a pair of wearable glasses equipped with a camera, and is used for obtaining a measurement image of a measured object; the data extraction module is used for acquiring measurement data from the measurement image; the data management module is internally provided with measurement standard data corresponding to the object to be measured, and if the measurement data of the non-text type is matched with the corresponding measurement standard data, the current measurement data is defined as passed measurement data; the report generation module is used for generating an electronic report based on data recorded in the measurement process; the data acquisition module, the data extraction module, the data management module and the report generation module are in communication connection, so that digital management of measurement data of a measurement site is realized, the measurement data management efficiency is improved, and the overall measurement data use cost of a supply chain collaboration production department is reduced.

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] The existing product inspection and measurement method in the manufacturing field is usually that operators manually inspect the product against the product specification data and manually record the inspection results. In addition, for multiple upstream and downstream supply chain links of the same product, each manufacturer in the supply chain must conduct incoming material inspection and outgoing material inspection to ensure that the manufacturing quality meets the specification data.

[0003] The shortcomings of the measurement data generated by the traditional manual measurement method are as follows: ① The measurement data has large errors, and manual operation is prone to errors; ② The operational reliability of the measurement data is poor, and it is easily affected by the subjective factors of the operator; ③ The reliability of the paper records of the measurement data is poor, and the records are easy to be forged, tampered, contaminated, and lost; ④ The record management of the measurement data is difficult. For the manually recorded test report, the measurement data on the report needs to be entered and stored by computer, and the test report generated by the test equipment needs to be manually integrated according to the management specifications, which leads to the production and manufacturing department having to regularly concentrate human resources to classify, summarize, integrate, and store the test data. ⑤ The circulation of measurement data is difficult. Even for manufacturers in the 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. There are differences in the standard specifications of measurement, the measurement methods, the measurement personnel, and the measurement data reports. 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 the measurement data cannot be universal, each manufacturing department must conduct incoming measurement and outgoing measurement, and the cost of using measurement data is high.

[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, which can reduce the operation errors of manual measurement data process and improve the efficiency of measurement data management by digitally managing the data generated during the measurement process, so as to allow the measurement data to circulate in the supply chain and reduce the overall measurement data usage cost of the supply chain collaborative production departments.

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

[0007] 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 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 a caliper, a steel ruler, a two-dimensional element, a three-dimensional element, a display screen, a form, a device, and an instrument;

[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 type measurement data with the corresponding measurement specification data. If the non-text type measurement data matches the corresponding measurement specification data, the current measurement data is defined as the passed measurement data, otherwise the current measurement data is marked as the warning measurement data;

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

[0011] The data acquisition module, the data extraction module, the data management module and the report generation module are communicated and connected.

[0012] In a second aspect, the present invention 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 calipers, steel rulers, two-dimensional, three-dimensional, display screens, forms, equipment, and instruments and meters;

[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, define the current measurement data as passed measurement data; otherwise, mark the current measurement data 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 prior art, this technical solution has the following characteristics and beneficial effects:

[0019] 1. This solution builds a complete high-precision measurement data digital management system, adopts the general product quality measurement data management specifications negotiated between collaborative supply chains, so that the measurement data of various production and manufacturing departments in the supply chain can be circulated, 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, thereby reducing the production and manufacturing cost of the product.

[0020] 2. Through the digital management of measurement data, the measurement data results can be transmitted to the local and Internet cloud in real time at the measurement site of quality inspection, and sent to various collaborative management departments for terminal display. The validity management of measurement data is approved by multiple parties, which improves the reliability of measurement data.

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

[0022] 4. The data extraction module uses visual recognition technology to achieve the effect of identifying the data of general measuring tools and measured objects measured manually, as well as the electronic form data generated by automatic testing equipment. The report generation module can automatically generate electronic reports by integrating the 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 in manually reading the measurement data and improve the measurement efficiency.

[0024] 6. By linking the electronic report with the sample storage box, the whole process traceability management of the sample is realized, 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 feed 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 feed inspection setting data of the high-precision measurement data digital management method provided by this solution.

[0028] Figure 4 It is a template diagram of the standard template of the 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 flow chart 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 the present solution. DETAILED DESCRIPTION

[0032] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to 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 orientation or position relationship indicated by the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. are based on the orientation or position relationship shown in the 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 operate in a specific orientation. Therefore, the above terms should not be understood as limiting the present invention.

[0034] Embodiment 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 a wearable pair of 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 a caliper, a steel ruler, a two-dimensional element, a three-dimensional element, a display screen, a form, a device, and an instrument;

[0037] A data extraction module, wherein a pre-trained measurement data extraction model is loaded in 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 type measurement data with the corresponding measurement specification data. If the non-text type measurement data matches the corresponding measurement specification data, the current measurement data is defined as the passed measurement data, otherwise the current measurement data is marked as the warning measurement data;

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

[0040] The data acquisition module, the data extraction module, the data management module and the report generation module are communicated and connected.

[0041] The high-precision measurement data digital management system provided by this solution is specially designed 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 of different measurement carriers. It also manages the effectiveness of measurement data in real time, and adopts universal product quality measurement data management specifications negotiated between collaborative supply chains, so that measurement data from various production and manufacturing departments in the supply chain can be circulated, 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 cost 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 managers wear the wearable glasses to obtain the measurement image of the measurement carrier. The advantage of this is that since the wearable glasses are worn at the position of the glasses of the measurement personnel or other managers, the observation angle of the camera on the wearable glasses is close to that of the human eye, so that the obtained measurement image is clear and accurate, and the content of the obtained measurement image is similar to that of the human eye observation angle of the measurement personnel or other managers, which can reduce the angle error and accuracy error of the subsequent image processing of the measurement image. At the same time, since the data acquisition module, data extraction module, data management module and report generation module of this solution are communicated and connected, 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 managers can view the feedback results in the first time.

[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 obtain shooting parameters of the measurement image, and to trigger the camera to obtain the measurement image. In some embodiments, the control component can be a physical control component, such as a handle, a ring, a button, a 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 ruler, the wearable glasses use a high-resolution telephoto camera, and 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, and an image sensor of ordinary accuracy can be loaded in the wide-angle camera.

[0047] Regarding the measurement image obtained by this solution, the measurement image obtained by this solution may include the measurement carrier corresponding to the measured object, or 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 includes the display screen; and when the measurement carrier is a caliper, the measurement image includes the measured object and the corresponding measured caliper.

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

[0049] The data extraction module of this solution processes the measurement image with the help of machine learning, visual recognition and image processing technologies to reduce the human error problem existing in manual acquisition of measurement data and greatly improve the 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 the steel ruler are more obvious.

[0052] In some embodiments, the step of using the measurement data reading model to read the measurement data in the preprocessed image can be performed in the following manner: extract the digital scale interval corresponding to the product to be tested, and calculate the measurement data of the product to be tested by the distance ratio between the product to be tested and the two end points of the digital scale interval. For example, if the digital scale interval corresponding to the product to be tested is 3 to 4 mm, and the distance between the product to be tested and 3 mm is the same as the distance between the product to be tested 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, since the reflective properties of the materials used to make the standard caliper and the steel ruler are similar, the data extraction module performs binarization on the measurement image, identifies the grayscale values ​​of the scale and the ruler in the measurement image, and calculates the grayscale difference between the grayscale value of the scale and the grayscale value of the ruler. If the grayscale difference is greater than the set grayscale threshold, it indicates that the current measurement image is wrong. In this way, reverse feedback is provided to the operator 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 numbers and decimal points on the display screen and their corresponding positions are read through the pre-trained measurement data extraction model, 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 fixed-width fonts and there is a certain interval 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 is successfully and correctly extracted; or the measurement data identified on the display screen is compared with a 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 is 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 common standards and specifications, or the standards and specifications approved by multiple upstream and downstream manufacturers through prior consultation. The advantage of this is that the common product quality measurement data management specifications negotiated between collaborative supply chains are adopted, 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 setting data to be measured, measurement standard setting data, and measurement specification setting data. It should be noted that the measurement specification data includes verification data items for the data range of the measurement data that needs to be verified, wherein the verification data items pre-store the data range of the current measurement data. At this time, 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 need to be verified. At this time, the data management module compares whether the current measurement data matches the corresponding non-verification data items. If they match, 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, wherein 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, wherein 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, specification, quality control specification, etc.

[0064] In some embodiments, when the current measurement data is the passed measurement data, the passed measurement data is fed back to the measurement personnel or other management personnel for confirmation, and then the next measurement data is acquired. In other words, in order to ensure the correctness of the measurement data, this solution is set to require the authorization of the measurement personnel or other management personnel to release even if the system determines that the current measurement data is the passed measurement data.

[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 coordinated confirmation of multiple production departments in the supply chain.

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

[0068] The report generation model of the present solution generates an electronic report based on the data recorded during the measurement process, and the data recorded during the measurement process includes but is not limited to the passed measurement data of the current object to be measured, the text type measurement data, and the data of the measurement failure. In some embodiments, the report generation module inherits the measurement record data in the data management module, and generates an electronic report corresponding to the current object to be measured based on the measurement record data.

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

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

[0071] In addition, the high-precision measurement data digital management system provided by the present solution is used in conjunction with a sample storage box, wherein the sample storage box is used to store the measured objects after the measurement is completed. 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 only storage location of the item to be found in the sample storage box through link data, the sample storage management module simultaneously pushes an electronic report of the item to be found. The advantage of this is that by associating the sample storage box with the electronic report, the loss of the measured object can be avoided to form a complete traceability control closed loop.

[0075] In a specific embodiment, an operator or other management personnel may 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 may then automatically open the sample storage grid storing the item currently to be searched for and display a QR code on the display screen of the sample storage box. The operator may scan the QR code to open the electronic report.

[0076] The schematic diagram of the sample storage box provided in this scheme is as follows Figure 5 As shown, a display screen is provided on the sample storage box. When the operator or other manager can input the link data of the measured object to be taken on the display screen, the corresponding unique storage location is opened, and the electronic report of the current object is displayed on the display screen, so that the operator or other manager can view the electronic report of the current object. Of course, the electronic report can be displayed in the form of a QR code or other link.

[0077] Embodiment 2

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

[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 calipers, steel rulers, two-dimensional, three-dimensional, display screens, forms, equipment, and instruments and meters;

[0080] Calling a pre-trained measurement data extraction model to obtain measurement data from a measurement image, the measurement data including 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 one. 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 is a specific example of using a vernier caliper to perform a measurement operation to explain 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 measuring personnel shall set the incoming material inspection setting data of the current object to be measured according to the object to be measured, wherein the incoming material inspection setting data includes the measurement item setting, the item to be measured setting, the measurement standard setting, the measurement specification setting, the material number, the inspection date, the acceptance number, the sampling plan, the supplier, the product name, the batch, the sampling number, the inspection number, the basic number, the specification, the 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 or the management personnel authorizes release, and step 3 is repeated; if the measurement data shows abnormal, an alarm is given to prompt the measurement personnel to re-measure, or the measurement personnel intercepts the measurement, or the management personnel authorizes re-processing, or the management personnel intercepts the measurement, 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 the network distributor to carry out collaborative management of the upstream and downstream chains of the supply chain.

[0091] Embodiment 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 the 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 perform 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 calipers, steel rulers, two-dimensional, three-dimensional, display screens, forms, equipment, and instruments and meters;

[0101] Calling a pre-trained measurement data extraction model to obtain measurement data from a measurement image, the measurement data including 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 described in detail here.

[0105] Embodiments of the present invention can be implemented by computer software, which is executable by a data processor of a mobile device, such as in a processor entity, or implemented by hardware, or 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. Computer program products can include one or more computer executable components configured to perform embodiments 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 logic circuits, boxes and functions, or a combination of program steps and logic circuits, boxes and functions. Software can be stored in physical media such as memory chips or storage blocks implemented in processors, magnetic media such as hard disks or floppy disks, and optical media such as, for example, DVDs and data variants thereof, CDs. Physical media are non-transient media.

[0106] Those skilled in the art should understand that the technical features of the above embodiments may be arbitrarily combined. 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 only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached 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 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 a caliper, a steel ruler, a two-dimensional element, a three-dimensional element, a display screen, a form, a device, and an instrument; 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; 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 type measurement data with the corresponding measurement specification data. If the non-text type measurement data matches the corresponding measurement specification data, the current measurement data is defined as the passed measurement data, otherwise the current measurement data is marked as the warning measurement data; A report generation module, used to generate electronic reports based on the data recorded during the measurement process; The data acquisition module, the data extraction module, the data management module and the report generation module are communicated and connected.

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 wearable glasses, wherein the control component is used to control the camera on the wearable glasses to obtain shooting parameters of 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 is characterized in that: Wearable glasses are loaded with different types of cameras. When the measuring carrier for recording the measurement data is a caliper or a steel ruler, the wearable glasses use a high-resolution telephoto camera; when the measuring carrier for recording the measurement data is a spreadsheet on the display screen, the wearable glasses use a high frame rate camera; when the measuring carrier for recording the measurement data is a form, the wearable glasses use a wide-angle camera; when the measuring carrier for recording the measurement data is an instrument, the wearable glasses use a camera with a color filter.

4. The high-precision measurement data digital management system according to claim 1, characterized in that: 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 and performs denoising and contrast enhancement processing 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 digital scale interval corresponding to the product to be measured is extracted, and the measurement data of the product to be measured is calculated through the distance ratio between the product to be measured and the two end points of the digital scale interval.

5. The high-precision measurement data digital management system according to claim 1, characterized in that: When the measurement carrier of the recorded measurement data of the current measurement image is a display screen, if the display screen is 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 numbers and decimal points on the display screen and their corresponding positions are read through the pre-trained measurement data extraction model, where the position of the decimal point is determined by calculating the interval distance between the numbers.

6. The high-precision measurement data digital management system according to claim 1, characterized in that: The data management module marks the measurement record data of the current object to be measured while presetting the measurement specification data of the object to be measured, wherein 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 feed inspection setting data.

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

8. 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 a sample storage box according to the type of the measured object to generate 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 manager opens the storage location of the measured object in the sample storage box by linking data, the sample storage management module simultaneously pushes an electronic report of the measured object.

9. A high-precision measurement data digital management method, implemented based on the high-precision measurement data digital management system according to any one of claims 1 to 8, 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.

10. 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 9.

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