Household appliance detection monitoring method and system

Abstract

The invention relates to the field of household appliance detection, in particular to a household appliance detection monitoring method and system, and the method comprises the steps: building a household appliance database and a report template library; determining a detection experimenter, and carrying out identity authentication; obtaining a to-be-detected household appliance model, and calling a report template corresponding to the model; photographing the household electrical appliance being detected through a high-speed photographic apparatus, preprocessing the photographed picture, and inserting the picture into the report template; completing detection according to options in the report and filling detection data into a report template; and the report template filled with the data is signed, and detection is completed. The pattern of the report can be unified, and detection and consulting are facilitated; and when the template is established, a previous report is adopted, so that the development cost is reduced, and items needing to be detected can be obtained in time.

Description

Technical Field

[0001] The present invention relates to the field of household appliance detection, and in particular to a household appliance detection and monitoring method and system. Background Art

[0002] Household appliances mainly refer to various electrical appliances used in homes and similar places. They create a more comfortable, beautiful, and physically and mentally healthy living and working environment for humans, provide rich and colorful cultural and entertainment conditions, and have become a necessity for modern family life.

[0003] In order to provide consumers with a safe and reliable use environment and prevent safety accidents caused by unqualified home appliances, thereby protecting the lives and property of consumers, it is necessary to test home appliances to ensure that they meet safety and quality standards. However, the current tests are mostly tests of related projects conducted according to individual needs, and no unified template style has been formed, which is not conducive to the unification of testing. At the same time, the equipment used and the test time in the original test records are filled in manually. When tracing the test data, it can only be traced back to the original paper test stimulus, and it is impossible to trace and monitor the more detailed test time and equipment usage, which is not conducive to the traceability and monitoring of the authenticity of the test process and test results. Summary of the invention

[0004] In view of the above problems, the present invention provides a method and system for detecting and monitoring household appliances.

[0005] The present invention provides the following technical solution: a household appliance detection and monitoring method, comprising the following steps: step one, establishing a household appliance database and a report template library; step two, determining the detection experiment personnel and performing identity authentication; step three, obtaining the model of the household appliance to be detected, and calling the report template corresponding to the model; step four, taking pictures of the household appliance being detected or to be detected by a high-speed scanner, pre-processing the taken pictures, and inserting them into the report template, and for the equipment used in the detection process of each project, using a QR code scanner or a mobile phone APP to scan the device QR code to record the usage time of each device in the project, and finally filling it in the report; step five, completing the detection according to the options in the report and filling the detection data into the report template; step six, signing and stamping the report template filled with data to complete the detection.

[0006] When establishing a report template library, you need to create a report template for each category or each type of household appliance. In this way, during the inspection process, you can directly call the report template without having to create a new template. The steps include the following: S11. Obtain a historical appliance report for a certain appliance; S12, analyzing the historical electrical appliance report to obtain the fixed part and the variable part in the historical electrical appliance report; S13, retaining the solidified part, and presetting the variable part, wherein the presetting includes a presetting mark and a presetting mark attribute, wherein the presetting mark attribute is located between the start data and the end data and is related to the name of the variable part; S13. Prepare an initial report template according to the detection needs; interpret the initial template to identify the variable part, configure input controls for the variable part, and determine the data acquisition method of the variable part; S14, saving the initial template and the corresponding data acquisition method, storing it as a report template for this type of electrical appliance, and setting a photo area for inserting photos in the report template.

[0007] When the report template is stored in the database, it is stored according to the storage rules, which include the full name of the electrical appliance corresponding to the report template, the keyword of the electrical appliance name, and the number determined according to the classification of the electrical appliance.

[0008] In step 3, when calling the report template corresponding to the appliance model to be tested, S31, check whether there is a report template with the same model name as the appliance to be tested, if so, use this report template, if not, proceed to step S32; S32, check whether there is a report template with the same classification as the electrical appliance model to be detected, if so, use this report template, if not, proceed to step S33; S32, query keywords, and find out whether there is a report template with the same model as the appliance to be tested from the list obtained by keyword query. If so, use this report template. If not, alarm and end the search, and repeat step 1, that is, create a new template.

[0009] In step 4, the captured images are preprocessed so that they can be included in the report. During preprocessing, S41, dividing the image captured by the high-speed camera into a plurality of rectangular areas of the same size; S42, searching with one corner of the image as the center to find the boundary of the household appliance, forming a regional ring with the rectangular area where the boundary of the household appliance is located, and determining the center position of the regional ring; S43, finding the photo area of ​​the report template and obtaining the photo size required by the report template; S44, aligning the center of the regional ring with the center of the photo area, and cropping the image; S45, when cropping, if the image has been cropped to the regional ring and is still larger than the size required by the report template, the image is reduced, that is, the length and width of the image are reduced to the size of the original rectangular area; S46, determining whether the area ring of the image at this time is within the photo area of ​​the reporting module; if the area ring is still outside the photo area, repeating step S45 until all rectangular areas where the area rings are located are within the photo area.

[0010] When signing in step six, the report template with filled data is first encrypted, then digitally signed to ensure the integrity and authenticity of the report, and finally electronically signed with a digital certificate to encrypt and verify the data.

[0011] The household appliance product quality inspection system based on the above method includes: an identification module, which is used to identify and enter the information of the household appliance product to be inspected, the information of the inspection equipment, and the identity information of the inspection personnel; an integrated inspection module, which is provided with a variety of household appliance product quality inspection equipment to comprehensively inspect the quality of the household appliance product to be inspected; a report generation module, which is used to generate corresponding report templates according to different inspection standard requirements; and a control management module, wherein the identification module, the integrated inspection module, and the report generation module are all connected to the control management module to enter the information of the household appliance product to be inspected, the identity information of the inspection personnel, and the inspection result data information into the report.

[0012] It also includes an electronic signature module, which is connected to the control and management module to ensure the consistency and non-tamperability of household appliance product information, inspection personnel information, and inspection data information; it includes a monitoring and recording module, which is used to record and monitor the quality inspection process. The monitoring and recording module is connected to the control and management module, and the monitoring and recording module is provided with a machine vision inspection unit for detecting whether the connection of household appliances and the use of inspection equipment are compliant.

[0013] From the above description, it can be seen that this solution has established a report template, which can unify the report style and facilitate testing and review; when establishing the template, the previous report is used, which reduces the development cost, and can obtain the items that need to be tested in a timely manner, and determine the data collection method, which reduces the labor of the tester. The high-speed camera is purchased from the market and is an instrument for taking pictures; inserting the captured pictures into the report improves the intuitiveness and readability of the report. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of a specific implementation mode of the present invention.

[0015] Figure 2 Flowchart for creating a report template.

[0016] Figure 3 This is a functional architecture diagram of the electrical appliance detection and monitoring method. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the specific embodiments of the present invention to clearly and completely describe the technical solutions in the specific embodiments of the present invention. Obviously, the specific embodiment described is only one specific embodiment of the present invention, not all specific embodiments. Based on the specific embodiments of the present invention, all other specific embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] By attaching Figure 1-2 It can be seen that the household appliance detection and monitoring method of the present invention includes steps one to six.

[0019] Step 1: Establish a household appliance database and report template library.

[0020] When establishing a report template library, a report template should be established for each category or each type of household appliance, including the following steps: obtaining a historical appliance report of a certain appliance; in this way, the required content of the report of this type of appliance can be understood, which is convenient for configuring the report; analyzing the historical appliance report to obtain the fixed part and the variable part in the historical appliance report; retaining the fixed part, and presetting the variable part, the preset includes a preset mark and a preset mark attribute, and the preset mark attribute is located between the start data and the end data and is related to the name of the variable part; making an initial report template according to the detection needs; and interpreting the initial template to identify the variable part, configuring the input control for the variable part, and determining the method of obtaining the data of the variable part, so as to facilitate the experimenter to fill in or select data; saving the initial template and the corresponding method of obtaining the data, storing it as a report template for this type of appliance, and setting a photo area for inserting photos in the report template.

[0021] When the report template is stored in the database, it is stored according to the storage rules, which include the full name of the electrical appliance corresponding to the report template, the keyword of the electrical appliance name, and the number determined according to the classification of the electrical appliance.

[0022] Based on the experiment type, call the template retrieval code to filter the matching experiment report template from the template database. The template retrieval code supports fuzzy matching. When the experiment type label does not completely match the template type field, the similarity is calculated through the keyword matching algorithm (such as TF-IDF algorithm) to find the template with the highest similarity. If the template is found, call the data filling code to fill the experimental data into the corresponding position according to the preset format of the template; if not found, call the template creation code to generate a new template according to the general specifications of the experiment type.

[0023] Step 2: Determine the test personnel and conduct identity authentication. The test personnel can be identified and authenticated through technologies such as face recognition and fingerprint entry, which enhances the system's identity management function for test personnel and further ensures the rigor of the test process.

[0024] The identity information of the experimenters is encrypted during storage and transmission. Symmetric or asymmetric encryption algorithms are used to ensure that even if the data is stolen, the attacker cannot easily obtain the plaintext information. At the same time, the system uses unified identity authentication to timely update and maintain the user's identity information, such as user position changes, department adjustments, etc., to ensure that the user's authority is consistent with the actual identity.

[0025] Different test lab personnel are assigned to different roles, and each role is given a specific set of lab personnel permissions. The system controls their access to different lab report templates and other resources based on the role.

[0026] The system receives the identity information entered by the experimenter, and calls the authentication code to compare the input information with the information stored in the encrypted database. The authentication code uses a secure hash algorithm (such as SHA-256) to encrypt the input password and compare it with the hash value stored in the database; if the basic information matches, the biometric verification code is triggered. The code controls the biometric device (fingerprint reader or camera) to collect the experimenter's biometric features, and uses a feature matching algorithm (such as a matching algorithm based on local binary patterns LBP) to compare the collected features with the pre-stored template. When the similarity exceeds 80%, the verification is considered to be passed. If multiple verifications fail, the risk warning code is called to automatically lock the account, and send a warning email to the administrator containing the experimenter's identity information, the number of failures, and the time. The email sending code uses the SMTP protocol and is sent from the preset email address.

[0027] Step 3: Get the model of the household appliance to be tested, and call the report template corresponding to this model.

[0028] When calling the report template corresponding to the electrical appliance model to be detected, it is necessary to call the report that satisfies this electrical appliance model, otherwise a report that meets the needs cannot be generated. S31. Check whether there is a report template with the same name as the electrical appliance model to be detected. If so, use this report template. If not, go to step S32; S32. Check whether there is a report template with the same classification as the electrical appliance model to be detected. If so, use this report template. If not, go to step S33; S32. Query keywords, and find out whether there is a report template with the same classification as the electrical appliance model to be detected from the list queried by the keywords. If so, use this report template. If not, an alarm is triggered and the search is ended, and step one is repeated.

[0029] When maintaining the household appliance model database, the model addition code is called to enter the new appliance model, brand, specification and other information into the database, and the model uniqueness is checked during entry. When entering the new appliance model information, the model addition code calls the market data interface code to obtain the relevant parameters and evaluation of the model in the market. The market data interface code obtains data from the third-party data platform through HTTP requests and integrates it into the database. Calling the model modification code can update the existing model information in the database; calling the model deletion code can remove the model record that is no longer in use, and before deleting, check whether the model is associated with an unfinished experiment.

[0030] Step 4: Use a high-definition camera to take photos of the household appliance being inspected, pre-process the photos, and insert them into the report template.

[0031] During preprocessing, S41. Divide the image captured by the camera into multiple rectangular areas of the same size. This division makes it easier to compare each area and also provides a benchmark for reducing the size of the image. The size of the rectangular area can be determined according to usage needs. S42. Search with one corner of the image as the center to find the boundary of the household appliance, form a regional ring with the rectangular area where the boundary of the household appliance is located, and determine the center position of the regional ring. For example, for a refrigerator, the regional ring is the rectangular area where all the sides of the refrigerator are located. S43. Find the photo area of ​​the report template and obtain the photo size required for the report template. S44. Align the center of the regional ring with the center of the photo area and crop the image. S45. When cropping, if If the image has been cropped to the regional ring and is still larger than the size required by the report template, the image is reduced, that is, the length and width of the image are reduced to the size of the original rectangular area. In this way, all the rectangular areas can be reduced to the same size to avoid deformation. For example, an image is 12 cm long and 6 cm wide and is divided into 72 rectangular areas. Each rectangular area is 1 cm long and 1 cm wide. When the size of a rectangular area is reduced, the length of the entire image is shortened by 1 cm and the width is shortened by 1 cm. In this way, all images are reduced at the same time; S46, determine whether the regional ring of the image at this time is in the photo area of ​​the report module. If the regional ring is still outside the photo area, repeat step S45 until the rectangular areas where all regional rings are located are in the photo area.

[0032] During the experiment, after the camera acquires the image, the image grayscale code is called to convert the color image into a grayscale image, and the grayscale value is calculated using the formula Gray=0.299R+0.587G+0.114B. The image grayscale code can dynamically adjust the grayscale calculation weight according to the light intensity of different areas of the image. The light intensity detection code determines the lighting conditions by calculating the mean and variance of the pixel values ​​in the local area of ​​the image, and adjusts the R, G, and B channel weights according to the lighting conditions. Then the Gaussian blur code is called to reduce the noise of the grayscale image, using a 3*3 Gaussian kernel with a standard deviation of 1.5; then the edge detection code is called to enhance the image features, using the Canny algorithm, with the low threshold set to 50 and the high threshold set to 150.

[0033] Step 5. Complete the test according to the options in the report and fill in the test data into the report template.

[0034] Step 6: Sign and seal the report template with the data filled in to complete the test.

[0035] When signing, the report template with filled data is first encrypted, then digitally signed to ensure the integrity and authenticity of the report, and finally electronically signed using a digital certificate to encrypt and verify the data.

[0036] A household appliance product quality inspection system for the above method includes: an identification module for identifying and entering the information of the household appliance product to be inspected and the identity information of the inspector; an integrated inspection module, which is provided with a variety of household appliance product quality inspection equipment to comprehensively inspect the quality of the household appliance product to be inspected; a report generation module, which is used to generate corresponding report templates according to different inspection standard requirements; a control management module, wherein the identification module, the integrated inspection module, and the report generation module are all connected to the control management module to enter the information of the household appliance product to be inspected, the identity information of the inspector, and the inspection result data information into the report. It also includes an electronic signature module and a monitoring and recording module, wherein the electronic signature module is connected to the control management module to ensure the consistency and non-tamperability of the household appliance product information, the inspection personnel information, and the inspection data information; the monitoring and recording module is used to record and monitor the quality inspection process, wherein the monitoring and recording module is connected to the control management module, and the monitoring and recording module is provided with a machine vision inspection unit to detect whether the connection of the household appliance product and the use of the inspection equipment are compliant.

[0037] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Technical personnel in the relevant field should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.

Claims

1. A household appliance detection and monitoring method, characterized in that The steps include: Step 1: Establish a household appliance database and report template library; Step 2: Determine the testing personnel and conduct identity authentication; Step 3: Get the model of the household appliance to be tested, and call the report template corresponding to the model; Step 4: Use a high-speed camera to take photos of the household appliance being inspected, pre-process the photos, and insert them into the report template; Step 5. Complete the test according to the options in the report and fill in the test data into the report template; Step 6: Sign and seal the report template with the data filled in to complete the test.

2. The household appliance detection and monitoring method according to claim 1, characterized in that: When establishing a report template library, a report template should be established for each category or each type of household appliance, including the following steps: S11. Obtain a historical appliance report for a certain appliance; S12, analyzing the historical electrical appliance report to obtain the fixed part and the variable part in the historical electrical appliance report; S13, retaining the solidified part, and presetting the variable part, wherein the presetting includes a presetting mark and a presetting mark attribute, wherein the presetting mark attribute is located between the start data and the end data and is related to the name of the variable part; S13. Prepare an initial report template based on testing needs; The initial template is interpreted to identify the variable part, configure input controls for the variable part, and determine the method for obtaining data for the variable part; S14, saving the initial template and the corresponding data acquisition method, storing it as a report template for this type of electrical appliance, and setting a photo area for inserting photos in the report template.

3. The household appliance detection and monitoring method according to claim 2, characterized in that: When the report template is stored in the database, it is stored according to the storage rules, which include the full name of the electrical appliance corresponding to the report template, the keyword of the electrical appliance name, and the number determined according to the classification of the electrical appliance.

4. The household appliance detection and monitoring method according to claim 3, characterized in that: In step 3, when calling the report template corresponding to the appliance model to be tested, S31, check whether there is a report template with the same model name as the appliance to be tested, if so, use this report template, if not, proceed to step S32; S32, check whether there is a report template with the same classification as the electrical appliance model to be detected, if so, use this report template, if not, proceed to step S33; S32, query keywords, and find out whether there is a report template with the same model as the appliance to be tested from the list obtained by keyword query. If so, use this report template. If not, alarm and end the search, and repeat step 1.

5. The household appliance detection and monitoring method according to claim 1, characterized in that: In step 4, during preprocessing, S41, dividing the image captured by the high-speed camera into a plurality of rectangular areas of the same size; S42, searching with one corner of the image as the center to find the boundary of the household appliance, forming a regional ring with the rectangular area where the boundary of the household appliance is located, and determining the center position of the regional ring; S43, finding the photo area of ​​the report template and obtaining the photo size required by the report template; S44, aligning the center of the regional ring with the center of the photo area, and cropping the image; S45, when cropping, if the image has been cropped to the regional ring and is still larger than the size required by the report template, the image is reduced, that is, the length and width of the image are reduced to the size of the original rectangular area; S46, determining whether the area ring of the image at this time is within the photo area of ​​the reporting module; if the area ring is still outside the photo area, repeating step S45 until all rectangular areas where the area rings are located are within the photo area.

6. The household appliance detection and monitoring method according to claim 1, characterized in that: When signing in step six, the report template with filled data is first encrypted, then digitally signed to ensure the integrity and authenticity of the report, and finally electronically signed with a digital certificate to encrypt and verify the data.

7. A household appliance product quality detection system used in the method described in any one of claims 1 to 6, characterized in that include: Identification module, used to identify and input the information of the household appliance to be tested and the identity information of the tester; An integrated testing module is provided with a variety of home appliance quality testing equipment to comprehensively test the quality of the home appliance to be tested; Report generation module, used to generate corresponding report templates according to different testing standards; The control management module, the identification module, the integrated detection module, and the report generation module are all connected to the control management module to enter the information of the household appliance to be detected, the identity information of the detection personnel, and the detection result data information into the report.

8. The household appliance product quality inspection system according to claim 7, characterized in that: It also includes an electronic signature module, which is connected to the control management module to ensure the consistency and non-tamperability of household appliance product information, inspection personnel information, and inspection data information; It includes a monitoring and recording module, which is used to record and monitor the quality inspection process. The monitoring and recording module is connected to the control management module. The monitoring and recording module is provided with a machine vision inspection unit for detecting the connection of household appliances and whether the use of the inspection equipment is compliant.

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