CN113935572A - Intelligent detection system and equipment for abnormal sound of general online product - Google Patents
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Abstract
The invention provides a general intelligent detection system and equipment for abnormal sound of an online product. The system comprises: the user identity authentication module is used for distinguishing the identity of the user and arranging a user access path according to a distinguishing result; the product configuration module is used for displaying configured products and copying, editing and deleting the products; the data marking module is used for carrying out corresponding operation on the label, triggering the collection of the abnormal sound data of the product and marking the collected abnormal sound data of the product; the product prediction module is used for triggering a product abnormal sound data acquisition mode and predicting the acquired product abnormal sound data; and the data playback module is used for playing back the abnormal sound data of the product. The invention can cover the abnormal sound detection requirements of all online products, simultaneously reduces the frequency of the abnormal sound detection operation to the maximum extent, and reduces the complexity of the abnormal sound detection operation and the dependence on manual detection.
Description
Technical Field
The embodiment of the invention relates to the technical field of product defect detection, in particular to a general intelligent detection system and equipment for abnormal sound of an online product.
Background
The sound signal emitted by the mechanical product can effectively represent the running state of the mechanical product, and if abnormal sound and abnormal sound occur, the mechanical equipment and the product have faults or quality defects, so that the abnormal sound and abnormal sound detection is indispensable work before a plurality of products leave a factory in the market. The mode of adopting artifical auscultation basically detects the abnormal sound of machinery class product at present, and the erroneous judgement rate of artifical auscultation detection mode is high and inefficiency, still can improve manufacturing cost simultaneously. Therefore, developing a general intelligent detection system and equipment for abnormal sound of online products can effectively overcome the above-mentioned defects in the related art, and is a technical problem to be solved in the industry.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a general intelligent detection system and equipment for abnormal sound of an online product.
In a first aspect, an embodiment of the present invention provides a general intelligent detection system for abnormal sounds of online products, including: the user identity authentication module is used for distinguishing the identity of the user and arranging a user access path according to a distinguishing result; the product configuration module is used for displaying configured products and copying, editing and deleting the products; the data marking module is used for carrying out corresponding operation on the label, triggering the collection of the abnormal sound data of the product and marking the collected abnormal sound data of the product; the product prediction module is used for triggering a product abnormal sound data acquisition mode and predicting the acquired product abnormal sound data; and the data playback module is used for playing back the abnormal sound data of the product.
On the basis of the contents of the above system embodiments, the system for intelligently detecting abnormal sounds of general online products, provided in the embodiments of the present invention, for distinguishing the identities of users and arranging the access paths of the users according to the distinguishing results, includes: if the user identity is a common user, the user accesses the product prediction module and the data playback module; if the user identity is the manager, the user accesses the product configuration module, the data marking module, the product prediction module and the data playback module, and the user completes operation in the corresponding modules.
On the basis of the contents of the above system embodiments, the system for intelligently detecting abnormal sounds of a general online product, provided in an embodiment of the present invention, for displaying a configured product and copying, editing, and deleting the product includes: displaying the products configured by the user, and entering a configuration flow of the newly added products after the user inputs names of the newly added products; if the copying operation is selected, the user selects the existing product and inputs a new name, and the user enters a product editing page to copy the product; if the deletion operation is selected, the operation flow is directly ended; the editing page body of the product configuration comprises general editing, channel editing, excitation source configuration, extensible prediction module editing and extensible custom drawing editing.
On the basis of the contents of the above system embodiments, the general online product abnormal sound intelligent detection system provided in the embodiments of the present invention, which performs corresponding operations on the tag, triggers the collection of product abnormal sound data, and marks the collected product abnormal sound data, includes: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify the display interface, selecting whether to start a label modification process according to whether the user needs to modify the label; if the user needs to modify the label, for deleting the label, finishing the deleting operation after selecting the label to be deleted, and for newly-built labels, inputting the label name and configuring the corresponding label category and finishing the newly-built label operation; if the label does not need to be modified, triggering is carried out according to a product abnormal sound data acquisition triggering mode set by a user in a product configuration module, and after triggering is finished, the user selects the corresponding label as a mark for the sampled product abnormal sound sample.
On the basis of the contents of the system embodiment, the general online product abnormal sound intelligent detection system provided in the embodiment of the present invention, which triggers the mode of product abnormal sound data acquisition and predicts the acquired product abnormal sound data, includes: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify the display interface, triggering is carried out according to a product abnormal sound data acquisition triggering mode set in the product configuration module, after triggering is finished, the extensible prediction module plug-in is called to predict the product abnormal sound data, and after respective prediction results are obtained, the prediction is displayed on the user interface.
On the basis of the contents of the above system embodiment, the system for intelligently detecting abnormal sound of a general online product provided in the embodiment of the present invention, where the playing back of the abnormal sound data of the product, includes: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify, selecting the playback data and starting playback, and after the playback is finished, if the playback is continued, selecting the playback data and starting playback; if the playback is not continued, the playback process is ended.
On the basis of the contents of the above system embodiment, the system for intelligently detecting abnormal sounds of general online products provided in the embodiment of the present invention further includes: the display interface configuration module is used for selecting the number of sub-images to be displayed and configuring each sub-image according to the drawing mode if a user modifies the display interface; and if the real-time data drawing mode is selected, selecting a corresponding display channel, configuring the display length of the single image, and turning on a corresponding setting switch according to whether the synchronous listening function is required to be turned on.
On the basis of the contents of the above system embodiment, the system for intelligently detecting abnormal sounds of general online products provided in the embodiment of the present invention further includes: and if the user-defined drawing extension drawing mode is selected, a user-defined drawing plug-in added in the product configuration module is selected, and the channel data is subjected to real-time secondary analysis and user-defined image drawing.
In a second aspect, an embodiment of the present invention provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the general intelligent abnormal noise detection system for the online products provided by any one of the various implementation modes of the first aspect.
In a third aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions enable a computer to implement the general-purpose online product abnormal sound intelligent detection system provided in any one of the various implementation manners of the first aspect.
According to the general intelligent detection system and the equipment for the abnormal sound of the online product, provided by the embodiment of the invention, the user identity verification module, the product configuration module, the data marking module, the product prediction module and the data playback module are integrated, so that the abnormal sound detection requirements of all online products can be met, the frequency of the abnormal sound detection operation is reduced to the maximum extent, and the complexity of the abnormal sound detection operation and the dependence on manual detection are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below to the drawings required for the description of the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a general online product abnormal sound intelligent detection system according to an embodiment of the present invention;
fig. 2 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention;
FIG. 3 is a functional flow diagram of a product configuration module according to an embodiment of the present invention;
FIG. 4 is a functional flow diagram of a data tagging module according to an embodiment of the present invention;
FIG. 5 is a functional flow diagram of a product forecast module according to an embodiment of the present invention;
FIG. 6 is a functional flow diagram of a data playback module according to an embodiment of the present invention;
fig. 7 is a schematic functional flow diagram of a display interface configuration module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In addition, technical features of various embodiments or individual embodiments provided by the present invention may be arbitrarily combined with each other to form a feasible technical solution, and such combination is not limited by the sequence of steps and/or the structural composition mode, but must be realized by a person skilled in the art, and when the technical solution combination is contradictory or cannot be realized, such a technical solution combination should not be considered to exist and is not within the protection scope of the present invention.
The embodiment of the invention provides a general intelligent detection system for abnormal sound of an online product, and referring to fig. 1, the system comprises: the user identity authentication module is used for distinguishing the identity of the user and arranging a user access path according to a distinguishing result; the product configuration module is used for displaying configured products and copying, editing and deleting the products; the data marking module is used for carrying out corresponding operation on the label, triggering the collection of the abnormal sound data of the product and marking the collected abnormal sound data of the product; the product prediction module is used for triggering a product abnormal sound data acquisition mode and predicting the acquired product abnormal sound data; and the data playback module is used for playing back the abnormal sound data of the product.
Specifically, the developer toolkit mainly comprises two parts, namely a signal processing toolkit and a machine learning model training toolkit. The two toolkits can effectively support the development and deployment of software in an off-line environment according to application scenes and requirements. The signal processing toolkit mainly covers processing methods suitable for stationary and non-stationary acoustic signals, including filtering, time-frequency analysis, wavelet analysis, EMD decomposition, time-domain and frequency-domain statistics, MFCC parameters, and the like. The signal processing toolkit is mainly used for processing and analyzing the acquired signals, displaying and presenting the acquired signals in a visual form, and mainly integrating the acquired signals in a window view under a software data marker and an intelligent detection module. The machine learning model is the core of the whole software system and directly determines the accuracy of an output result. In order to enable the machine learning model of the project to obtain the highest accuracy, a machine learning model training toolkit is established offline, so that the processes of training, evaluation, parameter tuning and the like of the machine learning model are effectively covered, and the mature and leading-edge mainstream machine learning and transfer learning algorithms can be covered in the machine model training process.
Based on the content of the foregoing system embodiment, as an optional embodiment, the system for intelligently detecting abnormal sounds of a general online product, provided in the embodiment of the present invention, that distinguishes the identity of a user and arranges a user access path according to a distinguishing result includes: if the user identity is a common user, the user accesses the product prediction module and the data playback module; if the user identity is the manager, the user accesses the product configuration module, the data marking module, the product prediction module and the data playback module, and the user completes operation in the corresponding modules.
Specifically, after the program starts to run, the user authentication module may first request the user to perform authentication of the identity role. If the identity is a common user, the product prediction module and the data playback module can be accessed; if the identity is the manager, the product configuration module, the data marking module, the product prediction module and the data playback module can be completely accessed, and the program is ended after the operation required by the user is completed by the respective selected modules.
Based on the content of the foregoing system embodiment, as an optional embodiment, the system for intelligently detecting abnormal sounds of a general-purpose online product, provided in the embodiment of the present invention, for displaying a configured product and copying, editing, and deleting the product includes: displaying the products configured by the user, and entering a configuration flow of the newly added products after the user inputs names of the newly added products; if the copying operation is selected, the user selects the existing product and inputs a new name, and the user enters a product editing page to copy the product; if the deletion operation is selected, the operation flow is directly ended; the editing page body of the product configuration comprises general editing, channel editing, excitation source configuration, extensible prediction module editing and extensible custom drawing editing.
Specifically, referring to fig. 3, if the user is a manager, the user may enter the product configuration module shown in fig. 3, and the interface displays each product configured by the user. For a new product, entering a product configuration flow after a user inputs a product name; for other operations, the user is required to select an existing product (namely, to select the product), the copying operation is required to input a new name as the new adding operation, the subsequent flow is consistent with the modification flow, and the product enters an editing page of the product configuration. For the delete operation, the operation flow is ended without entering the edit page of the product configuration. The editing page body of the product configuration is divided into a general editing part, a channel editing part, a configuration excitation source part, an extensible prediction module editing part and an added custom drawing editing part, the whole editing process is shown in fig. 3, and details are not repeated here.
Based on the content of the above system embodiment, as an optional embodiment, the general online product abnormal sound intelligent detection system provided in the embodiment of the present invention, where the corresponding operation is performed on the tag, the product abnormal sound data acquisition is triggered, and the acquired product abnormal sound data is marked, includes: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify the display interface, selecting whether to start a label modification process according to whether the user needs to modify the label; if the user needs to modify the label, for deleting the label, finishing the deleting operation after selecting the label to be deleted, and for newly-built labels, inputting the label name and configuring the corresponding label category and finishing the newly-built label operation; if the label does not need to be modified, triggering is carried out according to a product abnormal sound data acquisition triggering mode set by a user in a product configuration module, and after triggering is finished, the user selects the corresponding label as a mark for the sampled product abnormal sound sample.
Referring specifically to fig. 4, the administrator may enter a data tagging module such as that of fig. 4. After the process is started, if a user needs to modify a display interface, entering a display interface configuration module; and if the user does not need to modify, selecting whether to start a label modification process according to whether the user needs to modify the label. If the user needs to modify the label, for deleting the label, the user finishes the operation after selecting the label to be deleted, and for newly-built labels, the user needs to input the label name and configure the corresponding label category to finish the operation; if the label does not need to be modified, triggering is carried out according to a collection triggering mode set by a user on a product configuration page, and after triggering is finished, the user selects the corresponding label as a mark of sampling data for the sampled sample. And (4) determining whether to continue to collect according to the user requirement and the product configuration, repeating the steps according to the figure 4 if the collection is to be continued, and ending the data marking process if the sample collection is finished. For details, reference may be made to fig. 4, which is not described here.
Based on the content of the above system embodiment, as an optional embodiment, the general online product abnormal sound intelligent detection system provided in the embodiment of the present invention, where the triggering of the product abnormal sound data acquisition mode and the prediction of the acquired product abnormal sound data includes: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify the display interface, triggering is carried out according to a product abnormal sound data acquisition triggering mode set in the product configuration module, after triggering is finished, the extensible prediction module plug-in is called to predict the product abnormal sound data, and after respective prediction results are obtained, the prediction is displayed on the user interface.
Referring specifically to fig. 5, both the average user and the manager may enter the product prediction module of fig. 5. After the process is started, if a user needs to modify a display interface, entering a display interface configuration module; and if the user does not need to modify, triggering according to a data acquisition triggering mode set by the user on the product configuration page, and calling each extensible prediction module plug-in after triggering is finished to obtain respective prediction results and display the prediction results on a user interface. And determining whether to repeat the steps according to the requirements of the user and the configuration of the product. For details, reference may be made to fig. 4, which is not described here.
Based on the content of the above system embodiment, as an optional embodiment, the system for intelligently detecting abnormal sound of a general online product provided in the embodiment of the present invention, where playing back data of abnormal sound of a product, includes: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify, selecting the playback data and starting playback, and after the playback is finished, if the playback is continued, selecting the playback data and starting playback; if the playback is not continued, the playback process is ended.
Referring specifically to fig. 6, both the general user and the administrator can enter the data playback module of fig. 6. After the process is started, if a user needs to modify a display interface, entering a display interface configuration module; if the user does not need to modify, the playback data can be selected and playback can begin. After the playback is finished, if the playback is to be continued, the steps are repeated; if the playback is not continued, the flow ends. For details, reference may be made to fig. 6, which is not described here.
Based on the content of the above system embodiment, as an optional embodiment, the system for intelligently detecting abnormal sounds of a general online product provided in the embodiment of the present invention further includes: the display interface configuration module is used for selecting the number of sub-images to be displayed and configuring each sub-image according to the drawing mode if a user modifies the display interface; and if the real-time data drawing mode is selected, selecting a corresponding display channel, configuring the display length of the single image, and turning on a corresponding setting switch according to whether the synchronous listening function is required to be turned on.
Based on the content of the above system embodiment, as an optional embodiment, the system for intelligently detecting abnormal sounds of a general online product provided in the embodiment of the present invention further includes: and if the user-defined drawing extension drawing mode is selected, a user-defined drawing plug-in added in the product configuration module is selected, and the channel data is subjected to real-time secondary analysis and user-defined image drawing.
Referring specifically to fig. 7, the program first loads the interface configuration that the user last stored. If the user needs to modify, the number of sub-images to be displayed is selected. For each sub-graph, if configuration is needed, different configuration flows exist according to different drawing modes selected by a user. The drawing mode is divided into two types, real-time data and custom drawing extension. The real-time data is a real-time image of a certain collected channel, and the custom drawing is expanded into a user-defined drawing plug-in. If the user selects the real-time data, the corresponding display channel needs to be selected, the display length of a single image needs to be configured, and the corresponding setting switch is turned on according to whether the synchronous listening function needs to be turned on. And if the user selects the custom drawing extension, a custom drawing plug-in added in the product configuration module needs to be selected for realizing real-time secondary analysis and custom image drawing of the real-time channel data. For details, reference may be made to fig. 7, which is not described here.
According to the general intelligent detection system and the equipment for the abnormal sound of the online product, provided by the embodiment of the invention, the user identity verification module, the product configuration module, the data marking module, the product prediction module and the data playback module are integrated, so that the abnormal sound detection requirements of all online products can be met, the frequency of the abnormal sound detection operation is reduced to the maximum extent, and the complexity of the abnormal sound detection operation and the dependence on manual detection are reduced.
The general online product abnormal sound intelligent detection system provided by the embodiment of the invention supports channel self-defined setting, a channel setting option is defined in a software product list, different physical channels can be selected and configured in a self-defined manner according to a test object and a scene, and the measured physical quantity can comprise vibration, noise, voltage, current, temperature, pressure and the like; the channel setting supports the custom configuration of at most 8 channels, and the sampling frequency supports 256K maximally; in the acquisition process, the functions of delaying sampling, triggering sampling and the like are flexibly supported; detection standard customization is supported, a detection standard option is defined in a software product list, and the customized loading of the detection standard can be realized. The abnormal sound and abnormal sound are judged by adopting a machine learning method, and a machine learning model which is trained off line can be loaded and configured in the detection standard to support two-classification and multi-classification. For example: the detected physical quantity is abnormal sound, and the lower limit is 0, which indicates that the physical quantity is normal; the upper limit is 4, which means that the abnormal sound is classified into four categories; if the upper limit is "1", it is classified into two categories, wherein "1" indicates "abnormal sound". Meanwhile, in order to ensure the diversity of the detection functions of the system, detection indexes except for abnormal sound and abnormal sound, such as electroacoustic characteristics, electrical characteristics, mechanical characteristics and the like, can be defined and added in a customized manner in a detection standard in a product list module. It is worth to be noted that the detection index needs to correspond to the physical quantity acquired by the channel; the self-defining of the data tags is supported, a data tag button is arranged in the software data marking module, and the self-defining configuration of a plurality of tags can be carried out according to different types of abnormal sounds and abnormal sounds in a test object; supporting graphic display customization, wherein in the software data marking module and the intelligent detection module, left side interfaces are graphic display areas respectively, the graphic display areas can define and newly build different window views to perform online real-time monitoring of different physical quantities, after the monitoring views are built, the correlation matching of each view and the monitored physical quantities is supported, and simultaneously, a calculation model or a function (a developer toolkit-a signal processing toolkit) is also supported to be loaded in a customized form, so that the monitoring views are ensured to display different calculation results; the method is characterized by comprising the following steps of supporting self-definition and editing of a plurality of product lists, wherein in the application process, software is used for switching the types and specifications of products to be detected of an enterprise at any time according to a production plan, and according to the application requirements, the software is used for supporting the operations of editing, copying, deleting and the like on the products which are successfully created, so that the definition loading of a plurality of products to be detected is completed, and in the specific use process, the products to be detected can be selected from a product list module and can be quickly switched into an intelligent detection module; the system supports various automatic integration modes, and the system is generally integrated with an automatic mechanism in the application process, so that the automation and the unmanned performance of the whole detection process are realized. Considering that an automation mechanism usually needs customized design, in order to facilitate system integration, data communication is mainly considered in the software design development process, and various automation integration modes can be effectively supported, including: (1) and triggering sampling, namely outputting high and low level signals by an automatic mechanism according to set detection actions, and realizing the start and stop of data acquisition by software through acquiring the high level signals. (2) And communication control, namely, according to a set detection action, the acquisition of data is started and stopped by automatic control software and intelligent detection software for abnormal sound and abnormal sound of products on a universal molded line in a local communication mode.
Abnormal sound and abnormal sound detection are indispensable works before various products leave factories in the market. The general intelligent detection system for the abnormal sound of the online product, provided by the embodiment of the invention, solves the problems of high misjudgment rate, low efficiency and increasing production cost caused by adopting artificial auscultation in enterprises. The intelligent detection system for abnormal sound and abnormal sound of the product can be effectively constructed by embedding the extensible plug-in of the artificial intelligence technology, an acoustic sensor is used for collecting sound signals emitted in the operation process of the product on line, so that a standard field product acoustic data set is constructed, an effective judgment model is established on the basis by means of a machine learning method, and the detection and classification results of the product are sent to a corresponding execution mechanism, so that the quality inspection and classification of the abnormal sound of the product on line are achieved instead of manual work. Meanwhile, the abnormal sound and abnormal sound intelligent detection system is complex, and the development of application software needs to solve the following technical problems: self-defining of a detection physical channel, setting of a detection standard, data acquisition and deployment of machine learning model training, presentation of an intelligent detection result, management of test data and the like. The solution of these technical problems usually depends on the technical level of software developers, and the software developers are required to have higher code writing level and master multidisciplinary cross complex information processing technology, thereby causing great difficulty, high cost and long development period of software development projects.
In view of the above problems, the intelligent abnormal sound detection system for the general online product provided by the embodiment of the invention can realize the development of the intelligent abnormal sound detection system under the software framework, thereby effectively reducing the development and deployment difficulty of the system, shortening the development period and reducing the development cost. The design and development of system software adopt an open architecture, the requirement of the abnormal sound and abnormal sound detection function of all online products can be met, the operation frequency is reduced to the maximum extent, and the complexity of system operation and use is reduced. The system can be widely applied to the detection of abnormal sound and abnormal sound of products in the fields of automobile parts, white household appliances, electroacoustic components, heat dissipation modules, basic mechanical transmission components, electrical components, special medical equipment and the like.
The system of the embodiment of the invention is realized by depending on the electronic equipment, so that the related electronic equipment is necessarily introduced. To this end, an embodiment of the present invention provides an electronic apparatus, as shown in fig. 2, including: the system comprises at least one processor (processor), a communication Interface (communication Interface), at least one memory (memory) and a communication bus, wherein the at least one processor, the communication Interface and the at least one memory are communicated with each other through the communication bus. The at least one processor may invoke logic instructions in the at least one memory to implement the various systems provided in the system embodiments.
In addition, the logic instructions in the at least one memory may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be substantially implemented or contributed to by the prior art, or the technical solution may be implemented in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the system according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to implement the methods or systems of the various embodiments or some parts of the embodiments.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Based on this recognition, each block in the flowchart or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In this patent, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a different sound intellectual detection system of general type online product which characterized in that includes: the user identity authentication module is used for distinguishing the identity of the user and arranging a user access path according to a distinguishing result; the product configuration module is used for displaying configured products and copying, editing and deleting the products; the data marking module is used for carrying out corresponding operation on the label, triggering the collection of the abnormal sound data of the product and marking the collected abnormal sound data of the product; the product prediction module is used for triggering a product abnormal sound data acquisition mode and predicting the acquired product abnormal sound data; and the data playback module is used for playing back the abnormal sound data of the product.
2. The system of claim 1, wherein the distinguishing of the identities of users and the arrangement of the access paths of users according to the distinguishing result comprises: if the user identity is a common user, the user accesses the product prediction module and the data playback module; if the user identity is the manager, the user accesses the product configuration module, the data marking module, the product prediction module and the data playback module, and the user completes operation in the corresponding modules.
3. The system of claim 2, wherein the displaying the configured product, copying, editing, and deleting the product comprises: displaying the products configured by the user, and entering a configuration flow of the newly added products after the user inputs names of the newly added products; if the copying operation is selected, the user selects the existing product and inputs a new name, and the user enters a product editing page to copy the product; if the deletion operation is selected, the operation flow is directly ended; the editing page body of the product configuration comprises general editing, channel editing, excitation source configuration, extensible prediction module editing and extensible custom drawing editing.
4. The system of claim 3, wherein the operation of the tag to trigger the collection of the abnormal product sound data and to mark the collected abnormal product sound data comprises: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify the display interface, selecting whether to start a label modification process according to whether the user needs to modify the label; if the user needs to modify the label, for deleting the label, finishing the deleting operation after selecting the label to be deleted, and for newly-built labels, inputting the label name and configuring the corresponding label category and finishing the newly-built label operation; if the label does not need to be modified, triggering is carried out according to a product abnormal sound data acquisition triggering mode set by a user in a product configuration module, and after triggering is finished, the user selects the corresponding label as a mark for the sampled product abnormal sound sample.
5. The system of claim 4, wherein the triggering of the collection of the abnormal product sound data and the prediction of the collected abnormal product sound data comprises: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify the display interface, triggering is carried out according to a product abnormal sound data acquisition triggering mode set in the product configuration module, after triggering is finished, the extensible prediction module plug-in is called to predict the product abnormal sound data, and after respective prediction results are obtained, the prediction is displayed on the user interface.
6. The system of claim 5, wherein the playing back of the product abnormal sound data comprises: if the user modifies the display interface, entering a display interface modification flow; if the user does not need to modify, selecting the playback data and starting playback, and after the playback is finished, if the playback is continued, selecting the playback data and starting playback; if the playback is not continued, the playback process is ended.
7. The system of claim 6, further comprising: the display interface configuration module is used for selecting the number of sub-images to be displayed and configuring each sub-image according to the drawing mode if a user modifies the display interface; and if the real-time data drawing mode is selected, selecting a corresponding display channel, configuring the display length of the single image, and turning on a corresponding setting switch according to whether the synchronous listening function is required to be turned on.
8. The system of claim 7, further comprising: and if the user-defined drawing extension drawing mode is selected, a user-defined drawing plug-in added in the product configuration module is selected, and the channel data is subjected to real-time secondary analysis and user-defined image drawing.
9. An electronic device, comprising:
at least one processor, at least one memory, a communication interface, and a bus; wherein the content of the first and second substances,
the processor, the memory and the communication interface complete mutual communication through the bus;
the memory stores program instructions executable by the processor, which are invoked by the processor to implement the system of any one of claims 1 to 8.
10. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to implement the system of any one of claims 1 to 8.
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