Electronic product production monitoring method and system based on big data

Abstract

The invention discloses an electronic product production monitoring method and system based on big data, and relates to the technical field of production monitoring, and the method comprises the steps: obtaining the information of a to-be-monitored standard electronic product based on the big data; the method comprises the steps of obtaining a monitoring model, dividing the monitoring model correspondingly to obtain a plurality of area models, registering the plurality of area models to obtain a plurality of ports, collecting electronic product data in production based on the monitoring model, constructing a collection model, dividing the collection model corresponding to the plurality of area models to obtain electronic product area information, and sending the electronic product area information to a server. Transmitting the regional information of the electronic product to a cloud server through a corresponding port; marking a product model corresponding to the regional information of the electronic product in a cloud server; and taking the electronic product area information which does not meet the preset condition as abnormal information, and taking the electronic product corresponding to the abnormal information as an abnormal product. According to the invention, the regional information of the electronic product can be better correspondingly stored and displayed after being transmitted, and a better data transmission corresponding effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of production monitoring, and in particular to a method and system for monitoring the production of electronic products based on big data. Background Art

[0002] With the development of society, there are more and more types of electronic products, and more and more manufacturers produce electronic products. The appearance of the products is also a factor in determining the quality of electronic products during processing. At present, in the monitoring of the production process of electronic products, it is difficult to transmit the monitoring data of electronic products accordingly and to quickly match the monitoring data with the appearance of electronic products, and it is difficult to quickly receive data from electronic products in production. Summary of the invention

[0003] The purpose of the present invention is to provide an electronic product production monitoring method and system based on big data to solve the shortcomings of the background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a method for monitoring the production of electronic products based on big data, comprising the following steps: Based on big data, standard electronic product information to be monitored is obtained, wherein the electronic product information includes the shape of the electronic product and the corresponding size, and a monitoring model is constructed based on the electronic product information; The corresponding monitoring model is divided into multiple regional models, the multiple regional models are respectively registered to obtain multiple ports, and corresponding transmission frames are set corresponding to the multiple ports; Based on the monitoring model, the electronic product data in production is collected and a collection model is constructed, the collection model is divided into multiple regional models to obtain the electronic product regional information, and the electronic product regional information is transmitted to the cloud server through the corresponding port; Marking the electronic product area information corresponding to the product model in the cloud server; The electronic product area information that does not meet the preset conditions is regarded as abnormal information, and the electronic product corresponding to the abnormal information is regarded as an abnormal product.

[0005] In a preferred embodiment, the step of building a monitoring model based on electronic product information includes: Based on big data, the shape and corresponding size of the electronic product to be monitored are obtained as the electronic product information; The monitoring model is constructed three-dimensionally based on the electronic product information.

[0006] In a preferred embodiment, the step of dividing the corresponding monitoring model to obtain multiple regional models and registering the multiple regional models to obtain multiple ports includes: Obtain the center point of the monitoring model, set a virtual sphere based on the center point, and evenly divide the surface of the virtual sphere to obtain multiple unit spherical surfaces; Obtain edge lines of multiple unit spheres respectively, map the edge lines to the center point positions, and divide the monitoring model into multiple regional models; A plurality of feature points in a plurality of regional models are obtained and marked in corresponding regional models, feature point information is obtained, and based on the feature point information, the plurality of regional models are respectively registered to obtain a plurality of ports, and corresponding transmission frames are set corresponding to the plurality of ports.

[0007] In a preferred embodiment, the steps of obtaining multiple feature points in multiple regional models and marking them in corresponding regional models, obtaining feature point information, registering the multiple regional models based on the feature point information to obtain multiple ports, and setting corresponding transmission frames for the multiple ports include: The corner points and border lines in the region model are used as feature points, and the feature point information is marked in the region model; The position information between the feature points is obtained as the feature point information, and the multiple regional models are respectively registered based on the feature point information to obtain multiple ports; Corresponding information storage points are set at the feature points of the regional model corresponding to the port, and the information storage points are arranged and connected as a transmission frame according to the feature point information.

[0008] In a preferred embodiment, the step of transmitting the electronic product area information to the cloud server through the corresponding port includes: Setting a cloud server, setting a product model in the cloud server, dividing the product model based on the multiple regional models in the monitoring model to obtain multiple receiving regional models, and setting receiving ports corresponding to the receiving regional models, wherein the product model is the same as the monitoring model; Marking feature points in the receiving area model and establishing a corresponding relationship between the feature points and the information storage points in the receiving area model; Connecting the port to the receiving port for communication based on the corresponding relationship between the regional model and the receiving regional model; Collecting electronic product data in production, wherein the electronic product data is a multi-directional image of the electronic product, building an acquisition model based on the electronic product data, and obtaining a combined model by matching the monitoring model with the acquisition model based on feature points; In the combined model, the acquisition model is divided correspondingly according to the multiple regional models of the monitoring model to obtain multiple acquisition regional models; The electronic product area information in the acquisition area model is stored in the information storage point in the corresponding port according to the feature points, wherein the electronic product area information includes the shape and corresponding size of the electronic product being produced; The transmission frame storing the electronic product area information is transmitted to the receiving port in the cloud server through the corresponding port.

[0009] In a preferred embodiment, the step of marking the electronic product area information corresponding to the product model in the cloud server includes: Adjusting the corresponding receiving area model based on the electronic product area information of the corresponding feature point in the information storage point; The electronic product area information corresponding to the feature point in the information storage point is marked at the position of the feature point in the corresponding receiving area model after adjustment.

[0010] In a preferred embodiment, the step of treating the electronic product area information that does not meet the preset conditions as abnormal information and the electronic product corresponding to the abnormal information as an abnormal product includes: Set preset conditions for corresponding feature points; The electronic product area information where the feature points that do not meet the preset conditions are located is regarded as abnormal information; The electronic product corresponding to the abnormal information is regarded as an abnormal product.

[0011] The present invention also provides an electronic product production monitoring system based on big data, comprising: A construction module is used to obtain standard electronic product information to be monitored based on big data, wherein the electronic product information includes the shape of the electronic product and the corresponding size, and to construct a monitoring model based on the electronic product information; A setting module, connected to the construction module, is used to divide the corresponding monitoring model into multiple regional models, register the multiple regional models respectively to obtain multiple ports, and set corresponding transmission frames corresponding to the multiple ports; The transmission module is connected to the setting module, and is used to collect the electronic product data in production based on the monitoring model and build a collection model, divide the collection model into multiple regional models to obtain electronic product regional information, and transmit the electronic product regional information to the cloud server through the corresponding port; A marking module, connected to the transmission module, for marking the electronic product area information corresponding to the product model in the cloud server; The management module is connected to the marking module and is used to treat the electronic product area information that does not meet the preset conditions as abnormal information and the electronic products corresponding to the abnormal information as abnormal products.

[0012] In the above technical solution, the technical effects and advantages provided by the present invention are: The present invention transmits a transmission frame storing electronic product area information to a receiving port in a cloud server through a corresponding port, and marks the electronic product area information in an information storage point at a position of a feature point in a corresponding receiving area model. The product model can be adjusted according to the marked electronic product area information, so that the data of the electronic product can be better processed accordingly, and the electronic product area information can be better stored and displayed accordingly after transmission, which has a better data transmission corresponding effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0014] Figure 1 The figure is a flow chart of the method of the present invention.

[0015] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example 1, please refer to Figure 1 As shown, the electronic product production monitoring method based on big data described in this embodiment includes the following steps: S1. Obtaining standard electronic product information to be monitored based on big data, wherein the electronic product information includes the shape of the electronic product and the corresponding size, and building a monitoring model based on the electronic product information; S2. Divide the corresponding monitoring model to obtain multiple regional models, register the multiple regional models respectively to obtain multiple ports, and set corresponding transmission frames corresponding to the multiple ports; S3. Collect the electronic product data in production based on the monitoring model and build a collection model, divide the collection model into multiple regional models to obtain electronic product regional information, and transmit the electronic product regional information to the cloud server through the corresponding port; S4, marking the electronic product area information corresponding to the product model in the cloud server; S5. The electronic product area information that does not meet the preset conditions is regarded as abnormal information, and the electronic product corresponding to the abnormal information is regarded as an abnormal product; As described in the above steps S1-S5, with the development of society, there are more and more types of electronic products, and there are more and more manufacturers producing electronic products. In the processing of electronic products, the appearance of the products is also a factor in determining the quality of electronic products. At present, in the monitoring of the production process of electronic products, it is difficult to correspondingly transmit the monitoring data of electronic products and quickly match the monitoring data with the appearance of electronic products. It is difficult to quickly receive data from electronic products in production. The present application transmits the transmission frame storing the electronic product area information to the receiving port in the cloud server through the corresponding port, and marks the electronic product area information in the information storage point at the position of the feature point in the corresponding receiving area model. The product model will be adjusted according to the marked electronic product area information, so that the data of the electronic product can be better processed accordingly, and the electronic product area information can be better stored and displayed after transmission, which has a better data transmission corresponding effect.

[0018] In one embodiment, the step S1 of building a monitoring model based on electronic product information includes: S11, obtaining the shape and corresponding size of the electronic product to be monitored as the electronic product information based on the big data; S12, constructing a monitoring model in three dimensions based on the electronic product information; As described in the above steps S11 and S12, the standard electronic product shape and the corresponding size are obtained as the electronic product information based on the big data. The electronic product information can be used as the technical information for building the model. Then, a three-dimensional construction is performed according to the electronic product information to obtain the corresponding monitoring model. The monitoring model is set at the image acquisition end, and the product image collected by the image acquisition end can be matched with the monitoring model. In one embodiment, the step S2 of dividing the corresponding monitoring model to obtain multiple regional models and registering the multiple regional models to obtain multiple ports includes: S21, obtaining the center point of the monitoring model, setting a virtual sphere based on the center point, and evenly dividing the surface of the virtual sphere to obtain a plurality of unit spherical surfaces; S22, respectively obtaining edge lines of multiple unit spheres, mapping the edge lines to the center point positions to divide the monitoring model into multiple regional models; S23, obtaining multiple feature points in multiple regional models and marking them in corresponding regional models, obtaining feature point information, registering the multiple regional models respectively based on the feature point information to obtain multiple ports, and setting corresponding transmission frames corresponding to the multiple ports; As described in the above steps S21-S23, the monitoring model needs to be divided. The division operation here is: obtain the center point of the monitoring model, set a virtual ball based on the center point, the virtual ball is located outside the monitoring model, and evenly divide the surface of the virtual ball to obtain multiple unit spherical surfaces. Here, it can be an even division that always passes through a point like cutting a watermelon, or it can be an even division of the hexagonal surface of a football. Then, multiple unit spherical surfaces are obtained, and the edge lines of the multiple unit spherical surfaces are obtained. Here, the edge lines are mapped to the center point position to divide the monitoring model into multiple regional models. Here, the edge lines are mapped to the center point to use the edge lines as countless points. The countless points on the edge line are mapped to the center point respectively, that is, countless points are connected with the center point to obtain countless lines, countless lines are obtained to obtain countless faces, and the monitoring model is cut to obtain the corresponding regional model. Multiple unit spheres can obtain multiple regional models, and then multiple feature points in the multiple regional models are obtained and marked in the corresponding regional models. The feature point information is obtained, and the multiple regional models are registered based on the feature point information to obtain multiple ports. Corresponding transmission frames are set for the multiple ports, which can better divide and manage the monitoring model and ensure that the subsequent product information can be better processed and displayed. In one embodiment, the step S23 of obtaining multiple feature points in multiple regional models and marking them in corresponding regional models, obtaining feature point information, registering multiple regional models based on the feature point information to obtain multiple ports, and setting corresponding transmission frames for the multiple ports includes: S231, taking the corner points and border lines in the region model as feature points, and marking the feature point information in the region model; S232, obtaining position information between feature points as feature point information, and registering multiple region models based on the feature point information to obtain multiple ports; S233, setting corresponding information storage points at the feature points of the regional model corresponding to the port, arranging the information storage points according to the feature point information and connecting them as a transmission frame; As described in the above steps S231-S233, the corner points and edge lines are used as feature points in the regional model. The corner points here are turning positions in the regional model. For example, if the product is a table, the corners of the table are the corner points, and the edge lines are the contour lines between the corner points of the table. Then, the position information between the feature points is obtained as the feature point information. Based on the feature point information, multiple regional models are registered to obtain multiple ports. The feature point information here is the position distance between the corner points and the edge lines. Then, corresponding information storage points are set at the feature points of the regional models corresponding to the ports. The information storage points are arranged and connected as a transmission frame according to the feature point information. The information storage points here are the information storage positions of the corresponding regional models, which can better carry the information in the regional model, ensure the position correspondence during the transmission process, and facilitate the subsequent rapid correspondence on the product model. In one embodiment, the step S3 of transmitting the electronic product area information to the cloud server through the corresponding port includes: S31, setting a cloud server, setting a product model in the cloud server, dividing the product model based on the multiple regional models in the monitoring model to obtain multiple receiving regional models, and setting receiving ports corresponding to the receiving regional models, wherein the product model is the same as the monitoring model; S32, marking feature points in the receiving area model, and establishing a corresponding relationship between the feature points in the receiving area model and the information storage points; S33, based on the corresponding relationship between the regional model and the receiving regional model, the port is communicatively connected with the receiving port; S34, collecting electronic product data in production, wherein the electronic product data is a multi-directional image of the electronic product, building a collection model based on the electronic product data, and obtaining a combined model by matching the monitoring model with the collection model based on feature points; S35, in the combined model, dividing the acquisition model accordingly according to the multiple regional models of the monitoring model to obtain multiple acquisition regional models; S36, storing the electronic product area information in the acquisition area model in the information storage point in the corresponding port according to the feature points, wherein the electronic product area information includes the shape and corresponding size of the electronic product being produced; S37, transmitting the transmission frame storing the electronic product area information to the receiving port in the cloud server through the corresponding port; As described in the above steps S31-S37, a cloud server is set up, and a product model is set up in the cloud server. The product model is the same as the monitoring model. A plurality of receiving area models are obtained by dividing the product model according to the plurality of regional models of the monitoring model. Then, feature points are marked in the receiving area model, and a correspondence between the feature points in the receiving area model and the information storage points is established. The feature points in the receiving area model are information storage points corresponding to the feature points in the corresponding monitoring model. Based on the correspondence between the regional model and the receiving area model, the port is communicatively connected with the receiving port to collect electronic product data in production, wherein the electronic product data is a multi-directional image of the electronic product, and a collection model is constructed based on the electronic product data. Based on the feature points, the monitoring model and the collection model are corresponded to obtain a combined model. The combined model here is merely the overlap between the monitoring model and the collection model. In the combined model, according to the corresponding relationship of the monitoring model The multiple regional models divide the acquisition model into multiple acquisition regional models, and store the electronic product regional information in the acquisition regional model in the information storage point in the corresponding port according to the feature points, wherein the electronic product regional information includes the shape of the electronic product in production and the corresponding size. The electronic product regional information needs to be divided according to the feature points in the acquisition regional model and stored in the corresponding information storage point. Finally, the transmission frame storing the electronic product regional information is transmitted to the receiving port in the cloud server through the corresponding port, and the electronic product regional information in the information storage point is marked at the position of the feature point in the corresponding receiving regional model. The product model will be adjusted according to the marked electronic product regional information, so that the electronic product data can be better processed accordingly, and the electronic product regional information can be better stored and displayed after transmission, which has a good corresponding effect of data transmission. In one embodiment, the step S4 of marking the electronic product area information corresponding to the product model in the cloud server includes: S41, adjusting the corresponding receiving area model based on the electronic product area information of the corresponding feature point in the information storage point; S42, marking the electronic product area information corresponding to the feature point in the information storage point at the position of the feature point in the corresponding receiving area model after adjustment; As described in the above steps S41 and S42, after the electronic product area information is transmitted to the cloud server, since the collected electronic product shape and corresponding size in production may be different from those of standard electronic products, it is necessary to adjust the corresponding receiving area model based on the electronic product area information of the corresponding feature point in the information storage point. The adjustment here is the shape and corresponding size of the electronic product. The electronic product area information of the corresponding feature point in the information storage point is marked at the position of the feature point in the corresponding receiving area model after adjustment, which can better display the shape and corresponding size of the electronic product in the production process, and the process of monitoring data correspondence is fast and accurate, and has a good transmission effect; In one embodiment, the step S5 of treating the electronic product area information that does not meet the preset conditions as abnormal information and the electronic product corresponding to the abnormal information as an abnormal product includes: S51, setting preset conditions corresponding to the feature points; S52, taking the electronic product area information where the feature points that do not meet the preset conditions are located as abnormal information; S53, treating the electronic product corresponding to the abnormal information as an abnormal product; As described in the above steps S51-S53, the feature points are the corner points and the border lines in the regional model as feature points, and the preset conditions here are the error thresholds allowed by the positions and lengths of the corner points and the border lines in the regional model. The electronic product region information where the feature points that do not meet the preset conditions are located is taken as abnormal information, and the electronic products corresponding to the abnormal information are taken as abnormal products, so that the appearance quality of the electronic products can be monitored; Example 2, please refer to Figure 2 As shown, the electronic product production monitoring system based on big data described in this embodiment includes: A construction module is used to obtain standard electronic product information to be monitored based on big data, wherein the electronic product information includes the shape of the electronic product and the corresponding size, and to construct a monitoring model based on the electronic product information; A setting module, connected to the construction module, is used to divide the corresponding monitoring model into multiple regional models, register the multiple regional models respectively to obtain multiple ports, and set corresponding transmission frames corresponding to the multiple ports; The transmission module is connected to the setting module, and is used to collect the electronic product data in production based on the monitoring model and build a collection model, divide the collection model into multiple regional models to obtain electronic product regional information, and transmit the electronic product regional information to the cloud server through the corresponding port; A marking module, connected to the transmission module, for marking the electronic product area information corresponding to the product model in the cloud server; The management module is connected to the marking module and is used to treat the electronic product area information that does not meet the preset conditions as abnormal information and the electronic products corresponding to the abnormal information as abnormal products.

[0019] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for monitoring the production of electronic products based on big data, characterized in that: The following steps are involved: Based on big data, standard electronic product information to be monitored is obtained, wherein the electronic product information includes the shape of the electronic product and the corresponding size, and a monitoring model is constructed based on the electronic product information; The corresponding monitoring model is divided into multiple regional models, the multiple regional models are respectively registered to obtain multiple ports, and corresponding transmission frames are set corresponding to the multiple ports; Based on the monitoring model, the electronic product data in production is collected and a collection model is constructed, the collection model is divided into multiple regional models to obtain the electronic product regional information, and the electronic product regional information is transmitted to the cloud server through the corresponding port; Marking the electronic product area information corresponding to the product model in the cloud server; The electronic product area information that does not meet the preset conditions is regarded as abnormal information, and the electronic product corresponding to the abnormal information is regarded as an abnormal product.

2. The electronic product production monitoring method based on big data according to claim 1 is characterized by: The step of building a monitoring model based on electronic product information includes: Based on big data, the shape and corresponding size of the electronic product to be monitored are obtained as the electronic product information; The monitoring model is constructed three-dimensionally based on the electronic product information.

3. The electronic product production monitoring method based on big data according to claim 1 is characterized by: The step of dividing the corresponding monitoring model to obtain a plurality of regional models and registering the plurality of regional models to obtain a plurality of ports comprises: Obtain the center point of the monitoring model, set a virtual sphere based on the center point, and evenly divide the surface of the virtual sphere to obtain multiple unit spherical surfaces; Obtain edge lines of multiple unit spheres respectively, map the edge lines to the center point positions, and divide the monitoring model into multiple regional models; A plurality of feature points in a plurality of regional models are obtained and marked in corresponding regional models, feature point information is obtained, and based on the feature point information, the plurality of regional models are respectively registered to obtain a plurality of ports, and corresponding transmission frames are set corresponding to the plurality of ports.

4. The electronic product production monitoring method based on big data according to claim 3 is characterized by: The steps of obtaining multiple feature points in multiple regional models and marking them in corresponding regional models, obtaining feature point information, registering the multiple regional models based on the feature point information to obtain multiple ports, and setting corresponding transmission frames for the multiple ports include: The corner points and border lines in the region model are taken as feature points, and the feature point information is marked in the region model; The position information between the feature points is obtained as the feature point information, and the multiple regional models are respectively registered based on the feature point information to obtain multiple ports; Corresponding information storage points are set at the feature points of the regional model corresponding to the port, and the information storage points are arranged and connected as a transmission frame according to the feature point information.

5. The electronic product production monitoring method based on big data according to claim 4 is characterized in that: The step of transmitting the electronic product area information to the cloud server through the corresponding port includes: Setting a cloud server, setting a product model in the cloud server, dividing the product model based on the multiple regional models in the monitoring model to obtain multiple receiving regional models, and setting receiving ports corresponding to the receiving regional models, wherein the product model is the same as the monitoring model; Marking feature points in the receiving area model and establishing a corresponding relationship between the feature points and the information storage points in the receiving area model; Connecting the port to the receiving port for communication based on the corresponding relationship between the regional model and the receiving regional model; Collecting electronic product data in production, wherein the electronic product data is a multi-directional image of the electronic product, building an acquisition model based on the electronic product data, and obtaining a combined model by matching the monitoring model with the acquisition model based on feature points; In the combined model, the acquisition model is divided correspondingly according to the multiple regional models of the monitoring model to obtain multiple acquisition regional models; The electronic product area information in the acquisition area model is stored in the information storage point in the corresponding port according to the feature points, wherein the electronic product area information includes the shape and corresponding size of the electronic product being produced; The transmission frame storing the electronic product area information is transmitted to the receiving port in the cloud server through the corresponding port.

6. The electronic product production monitoring method based on big data according to claim 5 is characterized by: The step of marking the electronic product area information corresponding to the product model in the cloud server includes: Adjusting the corresponding receiving area model based on the electronic product area information of the corresponding feature point in the information storage point; The electronic product area information corresponding to the feature point in the information storage point is marked at the position of the feature point in the corresponding receiving area model after adjustment.

7. The electronic product production monitoring method based on big data according to claim 1 is characterized by: The step of treating the electronic product area information that does not meet the preset conditions as abnormal information and the electronic product corresponding to the abnormal information as an abnormal product includes: Set preset conditions for corresponding feature points; The electronic product area information where the feature points that do not meet the preset conditions are located is regarded as abnormal information; The electronic product corresponding to the abnormal information is regarded as an abnormal product.

8. An electronic product production monitoring system based on big data, used to implement an electronic product production monitoring method based on big data as described in any one of claims 1 to 7, characterized in that: include: A construction module is used to obtain standard electronic product information to be monitored based on big data, wherein the electronic product information includes the shape of the electronic product and the corresponding size, and to construct a monitoring model based on the electronic product information; A setting module, connected to the building module, is used to divide the corresponding monitoring model into multiple regional models, register the multiple regional models respectively to obtain multiple ports, and set corresponding transmission frames corresponding to the multiple ports; The transmission module is connected to the setting module, and is used to collect the electronic product data in production based on the monitoring model and build a collection model, divide the collection model into multiple regional models to obtain electronic product regional information, and transmit the electronic product regional information to the cloud server through the corresponding port; A marking module, connected to the transmission module, for marking the electronic product area information corresponding to the product model in the cloud server; The management module is connected to the marking module and is used to treat the electronic product area information that does not meet the preset conditions as abnormal information and the electronic products corresponding to the abnormal information as abnormal products.

Images