CN112712377A - Product defect arrangement and collection management database platform system - Google Patents
Product defect arrangement and collection management database platform systemDownload PDFInfo
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Abstract
Description
Technical Field
The application relates to the technical field of electronics, in particular to a product defect arrangement and collection management database platform system.
Background
The after-sales service is various service activities provided after goods are sold. From the point of view of the marketing work, the after-sales service itself is also a means of promotion. In the tracking follow-up stage, the sales promoters need to adopt various matching steps, and the credit of enterprises is improved through after-sale service, the market share of products is enlarged, and the efficiency and the income of sales promotion work are improved.
The existing after-sale service does not automatically manage the product defects in a classified manner, and the cost is high.
Disclosure of Invention
The embodiment of the application provides a product defect arrangement and collection management database platform system, which realizes automatic management of product defects of after-sale services and reduces statistical cost.
In a first aspect, an embodiment of the present application provides a product defect management and summary database platform system, where the system includes: in the data center, the data center is provided with a plurality of data centers,
the data center is used for receiving an after-sale service list reported by the terminal and extracting problem feedback of heavy after-sale service requests;
the data center is also used for carrying out classification processing on the problem feedback to obtain the classification of the problem feedback, then searching the problem feedback to confirm the solution of the problem feedback, and carrying out intelligent identification on the solution to determine a hardware identifier or a software identifier corresponding to the problem feedback;
and the data center is also used for accumulating the number of the hardware identifiers or the software identifiers in the product defect arrangement summary table.
In a second aspect, an embodiment of the present application provides a method for a product defect management and summary management database platform, where the method specifically includes:
the data center receives an after-sale service list reported by the terminal and extracts problem feedback of heavy after-sale service requests;
the data center classifies the problem feedback to obtain the classification of the problem feedback, then searches the problem feedback to confirm the solution of the problem feedback, and intelligently identifies the solution to determine the hardware identifier or the software identifier corresponding to the problem feedback;
the data center accumulates the number of hardware identifiers or software identifiers in the product defect collation table.
In a third aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods in the second aspect of the present application.
In a fourth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps described in any one of the methods of the second aspect of the present application. The computer program product may be a software installation package.
The technical scheme includes that a data center receives an after-sale service list reported by a terminal and extracts problem feedback of heavy after-sale service requests; the data center classifies the problem feedback to obtain the classification of the problem feedback, then searches the problem feedback to confirm the solution of the problem feedback, and intelligently identifies the solution to determine the hardware identifier or the software identifier corresponding to the problem feedback; the data center accumulates the number of hardware identifiers or software identifiers in the product defect collation table. According to the technical scheme, the product defects are counted in the automatic identification and classification and problem search modes, manual processing is not needed, and the cost is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a software structure of an electronic device according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a product defect management and aggregation database platform system according to an embodiment of the present application;
fig. 4 is a schematic flowchart of a method for a product defect management and aggregation management database platform provided by the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.
In order to better understand the scheme of the embodiments of the present application, the following first introduces the related terms and concepts that may be involved in the embodiments of the present application.
The electronic device may be a portable electronic device, such as a cell phone, a tablet computer, a wearable electronic device with wireless communication capabilities (e.g., a smart watch), etc., that also contains other functionality, such as personal digital assistant and/or music player functionality. Exemplary embodiments of the portable electronic device include, but are not limited to, portable electronic devices that carry an IOS system, an Android system, a Microsoft system, or other operating system. The portable electronic device may also be other portable electronic devices such as a Laptop computer (Laptop) or the like. It should also be understood that in other embodiments, the electronic device may not be a portable electronic device, but may be a desktop computer.
In a first section, the software and hardware operating environment of the technical solution disclosed in the present application is described as follows.
Fig. 1 shows a schematic structural diagram of an electronic device 100. The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a Universal Serial Bus (USB) interface 130, acharge management module 140, apower management module 141, abattery 142, an antenna 1, an antenna 2, amobile communication module 150, awireless communication module 160, anaudio module 170, aspeaker 170A, areceiver 170B, amicrophone 170C, anearphone interface 170D, a sensor module 180, a compass 190, a motor 191, a pointer 192, a camera 193, a display screen 194, a Subscriber Identification Module (SIM) card interface 195, and the like.
It is to be understood that the illustrated structure of the embodiment of the present application does not specifically limit the electronic device 100. In other embodiments of the present application, electronic device 100 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
Processor 110 may include one or more processing units, such as: the processor 110 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural-Network Processing Unit (NPU), etc. Wherein the different processing units may be separate components or may be integrated in one or more processors. In some embodiments, the electronic device 100 may also include one or more processors 110. The controller can generate an operation control signal according to the instruction operation code and the time sequence signal to complete the control of instruction fetching and instruction execution. In other embodiments, a memory may also be provided in processor 110 for storing instructions and data. Illustratively, the memory in the processor 110 may be a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor 110. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. This avoids repeated accesses and reduces the latency of the processor 110, thereby increasing the efficiency with which the electronic device 100 processes data or executes instructions.
In some embodiments, processor 110 may include one or more interfaces. The interface may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit audio (I2S) interface, a Pulse Code Modulation (PCM) interface, a universal asynchronous receiver/transmitter (UART) interface, a Mobile Industry Processor Interface (MIPI), a general-purpose input/output (GPIO) interface, a SIM card interface, a USB interface, and/or the like. The USB interface 130 is an interface conforming to the USB standard specification, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, or the like. The USB interface 130 may be used to connect a charger to charge the electronic device 100, and may also be used to transmit data between the electronic device 100 and a peripheral device. The USB interface 130 may also be used to connect to a headset to play audio through the headset.
It should be understood that the interface connection relationship between the modules illustrated in the embodiments of the present application is only an illustration, and does not limit the structure of the electronic device 100. In other embodiments of the present application, the electronic device 100 may also adopt different interface connection manners or a combination of multiple interface connection manners in the above embodiments.
Thecharging management module 140 is configured to receive charging input from a charger. The charger may be a wireless charger or a wired charger. In some wired charging embodiments, thecharging management module 140 may receive charging input from a wired charger via the USB interface 130. In some wireless charging embodiments, thecharging management module 140 may receive a wireless charging input through a wireless charging coil of the electronic device 100. Thecharging management module 140 may also supply power to the electronic device through thepower management module 141 while charging thebattery 142.
Thepower management module 141 is used to connect thebattery 142, thecharging management module 140 and the processor 110. Thepower management module 141 receives input from thebattery 142 and/or thecharge management module 140, and supplies power to the processor 110, the internal memory 121, the external memory, the display 194, the camera 193, thewireless communication module 160, and the like. Thepower management module 141 may also be used to monitor parameters such as battery capacity, battery cycle count, battery state of health (leakage, impedance), etc. In some other embodiments, thepower management module 141 may also be disposed in the processor 110. In other embodiments, thepower management module 141 and thecharging management module 140 may be disposed in the same device.
The wireless communication function of the electronic device 100 may be implemented by the antenna 1, the antenna 2, themobile communication module 150, thewireless communication module 160, a modem processor, a baseband processor, and the like.
The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the electronic device 100 may be used to cover a single or multiple communication bands. Different antennas can also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.
Themobile communication module 150 may provide a solution including 2G/3G/4G/5G wireless communication applied to the electronic device 100. Themobile communication module 150 may include at least one filter, a switch, a power amplifier, a Low Noise Amplifier (LNA), and the like. Themobile communication module 150 may receive the electromagnetic wave from the antenna 1, filter, amplify, etc. the received electromagnetic wave, and transmit the electromagnetic wave to the modem processor for demodulation. Themobile communication module 150 may also amplify the signal modulated by the modem processor, and convert the signal into electromagnetic wave through the antenna 1 to radiate the electromagnetic wave. In some embodiments, at least some of the functional modules of themobile communication module 150 may be disposed in the processor 110. In some embodiments, at least some of the functional modules of themobile communication module 150 may be disposed in the same device as at least some of the modules of the processor 110.
Thewireless communication module 160 may provide a solution for wireless communication applied to the electronic device 100, including Wireless Local Area Networks (WLANs) (e.g., wireless fidelity (Wi-Fi) networks), bluetooth (blue tooth, BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), UWB, and the like. Thewireless communication module 160 may be one or more devices integrating at least one communication processing module. Thewireless communication module 160 receives electromagnetic waves via the antenna 2, performs frequency modulation and filtering processing on electromagnetic wave signals, and transmits the processed signals to the processor 110. Thewireless communication module 160 may also receive a signal to be transmitted from the processor 110, perform frequency modulation and amplification on the signal, and convert the signal into electromagnetic waves through the antenna 2 to radiate the electromagnetic waves.
The electronic device 100 implements display functions via the GPU, the display screen 194, and the application processor. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and an application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. The processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.
The display screen 194 is used to display images, videos, and the like. The display screen 194 includes a display panel. The display panel may be a Liquid Crystal Display (LCD), an organic light-emitting diode (OLED), an active matrix organic light-emitting diode (active-matrix organic light-emitting diode, AMOLED), a flexible light-emitting diode (FLED), a mini light-emitting diode (mini-light-emitting diode, mini), a Micro-o led, a quantum dot light-emitting diode (QLED), or the like. In some embodiments, the electronic device 100 may include 1 or more display screens 194.
The electronic device 100 may implement a photographing function through the ISP, the camera 193, the video codec, the GPU, the display screen 194, the application processor, and the like.
The ISP is used to process the data fed back by the camera 193. For example, when a photo is taken, the shutter is opened, light is transmitted to the camera photosensitive element through the lens, the optical signal is converted into an electrical signal, and the camera photosensitive element transmits the electrical signal to the ISP for processing and converting into an image visible to naked eyes. The ISP can also carry out algorithm optimization on the noise, brightness and skin color of the image. The ISP can also optimize parameters such as exposure, color temperature and the like of a shooting scene. In some embodiments, the ISP may be provided in camera 193.
The camera 193 is used to capture still images or video. The object generates an optical image through the lens and projects the optical image to the photosensitive element. The photosensitive element may be a Charge Coupled Device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The light sensing element converts the optical signal into an electrical signal, which is then passed to the ISP where it is converted into a digital image signal. And the ISP outputs the digital image signal to the DSP for processing. The DSP converts the digital image signal into image signal in standard RGB, YUV and other formats. In some embodiments, the electronic device 100 may include 1 or more cameras 193.
The digital signal processor is used for processing digital signals, and can process digital image signals and other digital signals. For example, when the electronic device 100 selects a frequency bin, the digital signal processor is used to perform fourier transform or the like on the frequency bin energy.
Video codecs are used to compress or decompress digital video. The electronic device 100 may support one or more video codecs. In this way, the electronic device 100 may play or record video in a variety of encoding formats, such as: moving Picture Experts Group (MPEG) 1, MPEG2, MPEG3, MPEG4, and the like.
The NPU is a neural-network (NN) computing processor that processes input information quickly by using a biological neural network structure, for example, by using a transfer mode between neurons of a human brain, and can also learn by itself continuously. Applications such as intelligent recognition of the electronic device 100 can be realized through the NPU, for example: image recognition, face recognition, speech recognition, text understanding, and the like.
The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to extend the memory capability of the electronic device 100. The external memory card communicates with the processor 110 through the external memory interface 120 to implement a data storage function. For example, files such as music, video, etc. are saved in an external memory card.
Internal memory 121 may be used to store one or more computer programs, including instructions. The processor 110 may execute the above-mentioned instructions stored in the internal memory 121, so as to enable the electronic device 100 to execute the method for displaying page elements provided in some embodiments of the present application, and various applications and data processing. The internal memory 121 may include a program storage area and a data storage area. Wherein, the storage program area can store an operating system; the storage program area may also store one or more applications (e.g., gallery, contacts, etc.), and the like. The storage data area may store data (e.g., photos, contacts, etc.) created during use of the electronic device 100, and the like. Further, the internal memory 121 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic disk storage components, flash memory components, Universal Flash Storage (UFS), and the like. In some embodiments, the processor 110 may cause the electronic device 100 to execute the method for displaying page elements provided in the embodiments of the present application and other applications and data processing by executing instructions stored in the internal memory 121 and/or instructions stored in a memory provided in the processor 110. The electronic device 100 may implement audio functions through theaudio module 170, thespeaker 170A, thereceiver 170B, themicrophone 170C, theearphone interface 170D, and the application processor, etc. Such as music playing, recording, etc.
The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.
The pressure sensor 180A is used for sensing a pressure signal, and converting the pressure signal into an electrical signal. In some embodiments, the pressure sensor 180A may be disposed on the display screen 194. The pressure sensor 180A can be of a wide variety, such as a resistive pressure sensor, an inductive pressure sensor, a capacitive pressure sensor, and the like. The capacitive pressure sensor may be a sensor comprising at least two parallel plates having an electrically conductive material. When a force acts on the pressure sensor 180A, the capacitance between the electrodes changes. The electronic device 100 determines the strength of the pressure from the change in capacitance. When a touch operation is applied to the display screen 194, the electronic apparatus 100 detects the intensity of the touch operation according to the pressure sensor 180A. The electronic apparatus 100 may also calculate the touched position from the detection signal of the pressure sensor 180A. In some embodiments, the touch operations that are applied to the same touch position but different touch operation intensities may correspond to different operation instructions. For example: and when the touch operation with the touch operation intensity smaller than the first pressure threshold value acts on the short message application icon, executing an instruction for viewing the short message. And when the touch operation with the touch operation intensity larger than or equal to the first pressure threshold value acts on the short message application icon, executing an instruction of newly building the short message.
The gyro sensor 180B may be used to determine the motion attitude of the electronic device 100. In some embodiments, the angular velocity of electronic device 100 about three axes (i.e., X, Y and the Z axis) may be determined by gyroscope sensor 180B. The gyro sensor 180B may be used for photographing anti-shake. For example, when the shutter is pressed, the gyro sensor 180B detects a shake angle of the electronic device 100, calculates a distance to be compensated for by the lens module according to the shake angle, and allows the lens to counteract the shake of the electronic device 100 through a reverse movement, thereby achieving anti-shake. The gyroscope sensor 180B may also be used for navigation, somatosensory gaming scenes.
The acceleration sensor 180E may detect the magnitude of acceleration of the electronic device 100 in various directions (typically three axes). The magnitude and direction of gravity can be detected when the electronic device 100 is stationary. The method can also be used for recognizing the posture of the electronic equipment, and is applied to horizontal and vertical screen switching, pedometers and other applications.
The ambient light sensor 180L is used to sense the ambient light level. Electronic device 100 may adaptively adjust the brightness of display screen 194 based on the perceived ambient light level. The ambient light sensor 180L may also be used to automatically adjust the white balance when taking a picture. The ambient light sensor 180L may also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in a pocket to prevent accidental touches.
The fingerprint sensor 180H is used to collect a fingerprint. The electronic device 100 can utilize the collected fingerprint characteristics to unlock the fingerprint, access the application lock, photograph the fingerprint, answer an incoming call with the fingerprint, and so on.
The temperature sensor 180J is used to detect temperature. In some embodiments, electronic device 100 implements a temperature processing strategy using the temperature detected by temperature sensor 180J. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the electronic device 100 performs a reduction in performance of a processor located near the temperature sensor 180J, so as to reduce power consumption and implement thermal protection. In other embodiments, the electronic device 100 heats thebattery 142 when the temperature is below another threshold to avoid the low temperature causing the electronic device 100 to shut down abnormally. In other embodiments, when the temperature is lower than a further threshold, the electronic device 100 performs boosting on the output voltage of thebattery 142 to avoid abnormal shutdown due to low temperature.
The touch sensor 180K is also referred to as a "touch panel". The touch sensor 180K may be disposed on the display screen 194, and the touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen". The touch sensor 180K is used to detect a touch operation applied thereto or nearby. The touch sensor can communicate the detected touch operation to the application processor to determine the touch event type. Visual output associated with the touch operation may be provided through the display screen 194. In other embodiments, the touch sensor 180K may be disposed on a surface of the electronic device 100, different from the position of the display screen 194.
Fig. 2 shows a block diagram of a software structure of the electronic device 100. The layered architecture divides the software into several layers, each layer having a clear role and division of labor. The layers communicate with each other through a software interface. In some embodiments, the Android system is divided into four layers, an application layer, an application framework layer, an Android runtime (Android runtime) and system library, and a kernel layer from top to bottom. The application layer may include a series of application packages.
As shown in fig. 2, the application package may include applications such as camera, gallery, calendar, phone call, map, navigation, WLAN, bluetooth, music, video, short message, etc.
The application framework layer provides an Application Programming Interface (API) and a programming framework for the application program of the application layer. The application framework layer includes a number of predefined functions.
As shown in FIG. 2, the application framework layers may include a window manager, content provider, view system, phone manager, resource manager, notification manager, and the like.
The window manager is used for managing window programs. The window manager can obtain the size of the display screen, judge whether a status bar exists, lock the screen, intercept the screen and the like.
The content provider is used to store and retrieve data and make it accessible to applications. The data may include video, images, audio, calls made and received, browsing history and bookmarks, phone books, etc.
The view system includes visual controls such as controls to display text, controls to display pictures, and the like. The view system may be used to build applications. The display interface may be composed of one or more views. For example, the display interface including the short message notification icon may include a view for displaying text and a view for displaying pictures.
The phone manager is used to provide communication functions of the electronic device 100. Such as management of call status (including on, off, etc.).
The resource manager provides various resources for the application, such as localized strings, icons, pictures, layout files, video files, and the like.
The notification manager enables the application to display notification information in the status bar, can be used to convey notification-type messages, can disappear automatically after a short dwell, and does not require user interaction. Such as a notification manager used to inform download completion, message alerts, etc. The notification manager may also be a notification that appears in the form of a chart or scroll bar text at the top status bar of the system, such as a notification of a background running application, or a notification that appears on the screen in the form of a dialog window. For example, prompting text information in the status bar, sounding a prompt tone, vibrating the electronic device, flashing an indicator light, etc.
The Android Runtime comprises a core library and a virtual machine. The Android runtime is responsible for scheduling and managing an Android system.
The core library comprises two parts: one part is a function which needs to be called by java language, and the other part is a core library of android.
The application layer and the application framework layer run in a virtual machine. And executing java files of the application program layer and the application program framework layer into a binary file by the virtual machine. The virtual machine is used for performing the functions of object life cycle management, stack management, thread management, safety and exception management, garbage collection and the like.
The system library may include a plurality of functional modules. For example: surface managers (surface managers), media libraries (media libraries), three-dimensional graphics processing libraries (e.g., OpenGL ES), 2D graphics engines (e.g., SGL), and the like.
The surface manager is used to manage the display subsystem and provide fusion of 2D and 3D layers for multiple applications.
The media library supports a variety of commonly used audio, video format playback and recording, and still image files, among others. The media library may support a variety of audio-video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.
The three-dimensional graphic processing library is used for realizing three-dimensional graphic drawing, image rendering, synthesis, layer processing and the like.
The 2D graphics engine is a drawing engine for 2D drawing.
The kernel layer is a layer between hardware and software. The inner core layer at least comprises a display driver, a camera driver, an audio driver and a sensor driver.
Referring to fig. 3, fig. 3 provides a product defect management and aggregation database platform system, which may include: thedata center 302, the system may specifically include:
the data center is used for receiving an after-sale service list reported by the terminal 301 and extracting problem feedback of heavy after-sale service requests;
the data center is also used for carrying out classification processing on the problem feedback to obtain the classification of the problem feedback, then searching the problem feedback to confirm the solution of the problem feedback, and carrying out intelligent identification on the solution to determine a hardware identifier or a software identifier corresponding to the problem feedback;
and the data center is also used for accumulating the number of the hardware identifiers or the software identifiers in the product defect arrangement summary table.
According to the technical scheme, a data center receives an after-sale service list reported by a terminal and extracts problem feedback of heavy after-sale service requests; the data center classifies the problem feedback to obtain the classification of the problem feedback, then searches the problem feedback to confirm the solution of the problem feedback, and intelligently identifies the solution to determine the hardware identifier or the software identifier corresponding to the problem feedback; the data center accumulates the number of hardware identifiers or software identifiers in the product defect collation table. According to the technical scheme, the product defects are counted in the automatic identification and classification and problem search modes, manual processing is not needed, and the cost is reduced.
In an optional aspect, the method may further include:
and the data center is also used for recording the problem feedback in the detailed description of the hardware identifier or the software identifier.
In an optional scheme, the classifying the problem feedback to obtain the classification of the problem feedback specifically includes:
extracting features from the problem feedback through a feature extraction network to obtain a feature vector, inputting the feature vector into a classifier to obtain a classification result, and extracting a category corresponding to the maximum value in the classification result to determine the category corresponding to the problem feedback.
In an optional scheme, the searching for the problem feedback to confirm the solution of the problem feedback specifically may include:
the data center is also used for calling the search engine to search from the internal database by taking the problem feedback as a keyword, taking a scheme with the highest matching degree in the search results as the solution, if the problem feedback is taken as the keyword to search from the internal database, if the matching result is not searched, calling the network search engine to search by taking the problem feedback as the keyword to obtain a plurality of search results, and after the advertisement search result or the popularization search result is removed from the plurality of search results, determining the solution by the search result with the first ranking.
In an alternative arrangement, the first and second electrodes may be,
the data center is further used for receiving a first picture of a target object corresponding to the after-sale service list sent by the terminal, identifying and determining a first identity of the first picture, determining a first age of the first identity according to the first identity, and adding the first age to the hardware identifier or the software identifier.
In an alternative arrangement, the first and second electrodes may be,
and the control center is also used for receiving the first picture collected by the terminal, identifying and determining the first identity of the first picture, and adjusting the weight information of the first identity according to the after-sales service request.
The identifying and determining the first identity of the first picture may include:
e1, acquiring a target face image of a target image (namely a first picture) of the target object;
e2, verifying the target face image;
e3, when the target face image passes the verification, determining that the target object is a first identity corresponding to a preset face module.
In the specific implementation, a preset face template can be stored in the electronic device in advance, the original image of the target object can be obtained through the camera, and then the first identity of the target object can be determined when the target face image is successfully matched with the preset face template by the electronic device, otherwise, the first identity of the target object is not determined, so that the identity of the target object can be identified, whether the first identity is a reserved patient or not can be judged, and the fact that other people start telemedicine is avoided.
Further, in a possible example, in the step E2, the verifying the target face image may include the following steps:
e21, performing region segmentation on the target face image to obtain a target face region, wherein the target face region is a region image only of a face;
e22, performing binarization processing on the target face area to obtain a binarized face image;
e23, dividing the binary face image into a plurality of regions, wherein the areas of the regions are the same and the area size is larger than a preset area value;
e24, extracting the characteristic points of the binary face image to obtain a plurality of characteristic points;
e25, determining the distribution density of the feature points corresponding to each of the plurality of areas according to the plurality of feature points to obtain a plurality of distribution densities of the feature points;
e26, determining a target mean square error according to the distribution densities of the plurality of feature points;
e27, determining a target quality evaluation value corresponding to the target mean square error according to a preset mapping relation between the mean square error and the quality evaluation value;
e28, when the target quality evaluation value is smaller than the preset quality evaluation value, performing image enhancement processing on the target face image, and matching the target face image subjected to the image enhancement processing with a preset face template to obtain a matching value;
e29, when the matching value is larger than a preset threshold value, determining that the target face image is verified.
In specific implementation, the preset threshold and the preset area value can be set by a user or default by a system, and the preset face template can be stored in the electronic device in advance. The electronic device may obtain a region segmentation of the target face image to obtain a target face region, where the target face region may be a region that does not include a background but only includes a face, that is, a region image of only a face. And then, can carry out binarization processing to target face region, obtain two quantification face image, so, can reduce the image complexity, divide two quantification face image into a plurality of regions, the area size of each region is equal, and is greater than preset area value. Further, feature point extraction may be performed on the binarized face image to obtain a plurality of feature points, and an algorithm of the feature extraction may be at least one of the following: scale Invariant Feature Transform (SIFT), SURF, pyramid, harris corner detection, and the like, without limitation.
Further, the electronic device may determine, according to the plurality of feature points, a feature point distribution density corresponding to each of the plurality of regions to obtain a plurality of feature point distribution densities, and determine a target mean square error according to the plurality of feature point distribution densities, the electronic device may pre-store a mapping relationship between a preset mean square error and a quality evaluation value, and determine, according to the mapping relationship between the preset mean square error and the quality evaluation value, a target quality evaluation value corresponding to the target mean square error, where the smaller the mean square error is, the larger the quality evaluation value is, when the target quality evaluation value is greater than the preset quality evaluation value, directly match the target face image with a preset face template, and when a matching value therebetween is greater than a preset threshold, determine that the target face image is verified, and otherwise, determine that the target face image is verified.
Further, when the target quality evaluation value is smaller than the preset quality evaluation value, the terminal may perform image enhancement processing on the target face image, match the target face image after the image enhancement processing with the preset face template, and determine that the target face image passes verification if the matching value between the target face image and the preset face template is larger than a preset threshold value, otherwise, determine that the target face image fails verification.
In an optional scenario, if the first picture is a vein picture, the identifying and determining the first identity for the first picture may include:
obtaining a vein picture to be identified, extracting an interested Region (ROI) of the vein picture to obtain a region picture, carrying out primary angle identification on each branch in the region picture to obtain an angle of each branch, carrying out gray processing on the region picture to obtain a gray picture, extracting a gray value of each pixel in the gray picture, forming the gray value of each pixel into a gray matrix according to the position of the pixel, extracting a first angle corresponding to the first branch and a first branch in a first branch region of the gray matrix, determining a first branch and a second branch of the first branch region, dividing the first branch into a first branch group according to the pixel points, dividing the second branch into a second branch group according to the pixel points, and dividing alpha pixel points of each branch in the first branch group into alpha position values (namely row values and column values of the matrix) of the gray matrix according to a first set direction, alpha position values (namely row values and column values of the matrix) of alpha pixel points of each branch line segment in the second branch line segment group in the gray matrix are set according to a second set direction; calculating an absolute value of a difference between α position values of an ith branch line segment in the first branch line segment group and α position values of an ith branch line segment in the second branch line segment group (corresponding to the ith branch line segment, for example, i is 2, then h is 2, which is described by using different letters for distinction) to obtain α absolute values, the α absolute values being row values subtracted from the row values to obtain absolute values, column values subtracted from the column values to obtain absolute values, and then combining the row values with the column values to obtain absolute values of the difference, forming the x-th column elements of the position matrix by the α absolute values in sequence, obtaining all column elements of the position matrix by traversing the first branch line segment group and the second straight line segment group, extracting a preset template matrix corresponding to the first angle, calculating a difference between the position matrix and the template matrix to obtain a difference matrix, and if the number y of element values smaller than a preset threshold in the difference matrix is less than or equal to a number threshold, and determining the identity of the vein picture as a first identity corresponding to the template matrix.
Referring to fig. 4, fig. 4 provides a method of a product defect management and aggregation database platform, which is executed by the system shown in fig. 3 and may include: :
step S401, the data center receives an after-sale service list reported by a terminal, and extracts problem feedback of heavy after-sale service requests;
s402, the data center classifies the problem feedback to obtain the classification of the problem feedback, then searches the problem feedback to confirm the solution of the problem feedback, and intelligently identifies the solution to determine the hardware identifier or the software identifier corresponding to the problem feedback;
step S403, the data center accumulates the number of the hardware identifiers or the software identifiers in the product defect sorting summary table.
According to the technical scheme, a data center receives an after-sale service list reported by a terminal and extracts problem feedback of heavy after-sale service requests; the data center classifies the problem feedback to obtain the classification of the problem feedback, then searches the problem feedback to confirm the solution of the problem feedback, and intelligently identifies the solution to determine the hardware identifier or the software identifier corresponding to the problem feedback; the data center accumulates the number of hardware identifiers or software identifiers in the product defect collation table. According to the technical scheme, the product defects are counted in the automatic identification and classification and problem search modes, manual processing is not needed, and the cost is reduced.
The specific implementation of the method shown in fig. 4 can be referred to the description of the system shown in fig. 3, and is not described herein again.
It will be appreciated that the electronic device, in order to implement the above-described functions, comprises corresponding hardware and/or software modules for performing the respective functions. The present application is capable of being implemented in hardware or a combination of hardware and computer software in conjunction with the exemplary algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, with the embodiment described in connection with the particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In this embodiment, the electronic device may be divided into functional modules according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in the form of hardware. It should be noted that the division of the modules in this embodiment is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
The present embodiment further provides a computer storage medium, where the computer storage medium stores computer instructions, and when the computer instructions are run on an electronic device, the electronic device executes the above related method steps to implement the product defect management and summary management database platform method in the above embodiments.
The embodiment also provides a computer program product, when the computer program product runs on a computer, the computer is caused to execute the relevant steps so as to implement the product defect management and summary database platform method in the above embodiment.
In addition, embodiments of the present application also provide an apparatus, which may be specifically a chip, a component or a module, and may include a processor and a memory connected to each other; the memory is used for storing computer execution instructions, and when the device runs, the processor can execute the computer execution instructions stored in the memory, so that the chip can execute the position determination method in the above-mentioned method embodiments.
The electronic device, the computer storage medium, the computer program product, or the chip provided in this embodiment are all configured to execute the corresponding method provided above, so that the beneficial effects achieved by the electronic device, the computer storage medium, the computer program product, or the chip may refer to the beneficial effects in the corresponding method provided above, and are not described herein again.
Through the description of the above embodiments, those skilled in the art will understand that, for convenience and simplicity of description, only the division of the above functional modules is used as an example, and in practical applications, the above function distribution may be completed by different functional modules as needed, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a module or a unit may be divided into only one logic function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed to a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A product defect management and aggregation database platform system, the system comprising: in the data center, the data center is provided with a plurality of data centers,
the data center is used for receiving an after-sale service list reported by the terminal and extracting problem feedback of heavy after-sale service requests;
the data center is also used for carrying out classification processing on the problem feedback to obtain the classification of the problem feedback, then searching the problem feedback to confirm the solution of the problem feedback, and carrying out intelligent identification on the solution to determine a hardware identifier or a software identifier corresponding to the problem feedback;
and the data center is also used for accumulating the number of the hardware identifiers or the software identifiers in the product defect arrangement summary table.
2. The system of claim 1,
and the data center is also used for recording the problem feedback in the detailed description of the hardware identifier or the software identifier.
3. The system of claim 1,
the data center is specifically used for extracting features from the problem feedback through a feature extraction network to obtain feature vectors, inputting the feature vectors into a classifier to obtain a classification result, and extracting a category corresponding to the maximum value in the classification result to determine the category corresponding to the problem feedback.
4. The system of claim 1,
the data center is also used for calling the search engine to search from the internal database by taking the problem feedback as a keyword, taking a scheme with the highest matching degree in the search results as the solution, if the problem feedback is taken as the keyword to search from the internal database, if the matching result is not searched, calling the network search engine to search by taking the problem feedback as the keyword to obtain a plurality of search results, and after the advertisement search result or the popularization search result is removed from the plurality of search results, determining the solution by the search result with the first ranking.
5. The system of claim 1,
the data center is further used for receiving a first picture of a target object corresponding to the after-sale service list sent by the terminal, identifying and determining a first identity of the first picture, determining a first age of the first identity according to the first identity, and adding the first age to the hardware identifier or the software identifier.
6. A product defect arrangement and collection management database platform method is characterized by specifically comprising the following steps:
the data center receives an after-sale service list reported by the terminal and extracts problem feedback of heavy after-sale service requests;
the data center classifies the problem feedback to obtain the classification of the problem feedback, then searches the problem feedback to confirm the solution of the problem feedback, and intelligently identifies the solution to determine the hardware identifier or the software identifier corresponding to the problem feedback;
the data center accumulates the number of hardware identifiers or software identifiers in the product defect collation table.
7. The method of claim 6, further comprising:
the data center records the problem feedback in the detailed description of the hardware identification or the software identification.
8. The method of claim 6,
the data center extracts features from the problem feedback through a feature extraction network to obtain feature vectors, the feature vectors are input into a classifier to obtain classification results, and the category corresponding to the maximum value in the classification results is extracted to be determined as the category corresponding to the problem feedback.
9. The method of claim 6,
the data center calls a search engine to search from the internal database by taking the problem feedback as a keyword, a scheme with the highest matching degree in the search results is taken as the solution, if the problem feedback is taken as the keyword to search from the internal database, if the matching results are not searched, the network search engine is called to search by taking the problem feedback as the keyword to obtain a plurality of search results, and after the advertisement search results or the popularization search results are removed from the plurality of search results, the first ranked search result is used for determining the solution.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of the claims 6-9.
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| CN202011612557.2ACN112712377A (en) | 2020-12-30 | 2020-12-30 | Product defect arrangement and collection management database platform system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114266477A (en)* | 2021-12-22 | 2022-04-01 | 重庆至信实业集团有限公司 | A quality problem management system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114266477A (en)* | 2021-12-22 | 2022-04-01 | 重庆至信实业集团有限公司 | A quality problem management system and method |
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