Intelligent visual interaction system for factory in manufacturing industry

Abstract

The invention discloses an intelligent visual interaction system for a manufacturing industry factory, and relates to the technical field of intelligent visual interaction. The intelligent visual interaction system for the manufacturing industry factory comprises an information interaction end, a client information and order storage end, a visual operation interface, an order product production monitoring end, an order product comparison end and an order prediction and delivery end, the information interaction terminal comprises a manufacturing industry factory introduction module, a customer registration module and a background information management module. The manufacturing industry factory introduction module is used for introducing manufacturing industry factories. According to the invention, the sample is subjected to three-dimensional scanning through the order product comparison terminal, and the three-dimensional model of the product is transmitted to the visual operation interface, so that a customer can conveniently compare the sample with the demand of the customer, the order product better meets the requirement of the customer, the customer can observe sample production, the customer credibility is improved, and the customer experience is improved. And a customer can compare the samples, so that the product better meets the requirements of the customer.

Description

Technical Field

[0001] The present invention relates to the field of intelligent visualization interaction technology, and in particular to an intelligent visualization interaction system for a manufacturing plant. Background Art

[0002] In the manufacturing industry, due to subjective or objective factors, customers may sometimes be unable to visit the manufacturer's production site for an on-site inspection and thus lack trust in the manufacturing company. They also lack confidence in purchasing products and completing orders due to a lack of understanding of the manufacturer's products. Even if the order is placed, customers still lack visual viewing and monitoring of the production process of the ordered products. Moreover, there is a lack of effective online communication between customers and manufacturers throughout the entire process of ordering and order completion. Therefore, a system is provided for manufacturing manufacturers and demanding customers that can remotely implement the ordering process and realize on-site video monitoring and real-time communication display, conveniently solve online remote personalized ordering and visual monitoring of production, thereby enhancing communication between manufacturing factories and customers.

[0003] At present, the intelligent visualization interaction system of manufacturing factories is generally composed of modules such as information collection terminal, client terminal, background management terminal and cloud server terminal, so as to realize the system that can remotely implement the ordering process and realize on-site video monitoring and real-time communication. Compared with the traditional manufacturing industry where customers can only place orders and manage orders, customers can communicate with manufacturing companies visually through the intelligent visualization interaction system of manufacturing factories, making the production of manufacturing companies open and transparent, meeting customers' needs for product safety, and further enhancing the communication between manufacturing companies and customers.

[0004] Most of the existing intelligent visualization interactive systems for manufacturing factories, when in use, realize the progress of order production and quality monitoring and demand communication within the manufacturing factory through the client and the background management end, thereby making it more convenient for the manufacturing factory to communicate with customers and improving customers' trust in the factory.

[0005] However, most existing intelligent visualization interactive systems in manufacturing factories are unable to compare the produced orders with customer needs, and are unable to allow customers to compare the produced samples with their own needs, which may lead to differences between the products produced by the manufacturing factory and the products ordered by the customer, affecting the final delivery of the order products by the manufacturing factory, thereby causing differences between the manufacturing factory and the customer, affecting the cooperation between the manufacturing factory and the customer.

[0006] Therefore, the present invention provides an intelligent visualization interaction system for a manufacturing plant to solve the above-mentioned problems. Summary of the invention

[0007] In view of the deficiencies of the prior art, the present invention provides an intelligent visual interaction system for a manufacturing plant, which solves the problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent visual interactive system for a manufacturing factory, comprising an information interaction terminal, a customer information and order storage terminal, a visual operation interface, an order product production monitoring terminal, an order product comparison terminal, and an order prediction and delivery terminal; The information interaction terminal includes a manufacturing factory introduction module, a customer registration module and a background information management module. The manufacturing factory introduction module is used to introduce the manufacturing factory, the customer registration module is used to register customer information, and the background information management module is used to manage customer information. The visual operation interface includes a visual touch screen module, a data processing module, a production monitoring module, an online communication module and an online display module. The visual touch screen module is used for customer operation, the data processing module is used to receive and process monitoring data transmitted by the manufacturing factory, the production monitoring module is used to monitor the order product production equipment, the online communication module is used for communication between customers and manufacturing factory managers, and the online display module is used for order product display; The order product comparison end includes a parameter display module, a machine learning module, an order three-dimensional scanning module and an order product parameter transmission module. The parameter display module is used to display order product parameters, the machine learning module is used to autonomously learn customer product parameters, the order three-dimensional scanning module is used to scan product information, and the order product parameter transmission module is used to transmit the scanned parameters.

[0009] A further improvement of the technical solution of the present invention is that the customer information and order storage end includes a customer information transmission module, an order information transmission module, a storage module and an operation module, the customer information transmission module and the order information transmission module are used for transmitting customer information and order information, the storage module is used for storing customer information and order information, and the operation module is used for operating the stored information.

[0010] A further improvement of the technical solution of the present invention is that the order product production monitoring end includes a sensor arranged on a product production equipment of a manufacturing factory, a camera module arranged in the manufacturing factory, and a sensor data and camera data transmission module.

[0011] A further improvement of the technical solution of the present invention is that the sensor includes a temperature and humidity sensor, a vibration sensor and a data collector, the camera module is a high-definition camera, the sensor is used to monitor the operating status of the production equipment, and the camera module is used to monitor the production status.

[0012] A further improvement of the technical solution of the present invention is that the order prediction and delivery end includes a big data analysis module, a historical data storage module and a neural grid module. The historical data storage module is used to store historical data of production equipment on product production information, the big data analysis module is used to analyze historical data, and the neural grid module is used for autonomous learning to predict failure nodes of production equipment.

[0013] A further improvement of the technical solution of the present invention is that the order forecasting and delivery end also includes an order product warehousing module, an order progress module and an order production information storage module. The order product warehousing module is used to process the warehousing of qualified products, the order progress module is used to display the real-time progress of the order products, and the order production information storage module is used to store order production process data.

[0014] A further improvement of the technical solution of the present invention is that the order three-dimensional scanning module transmits the scanned three-dimensional model to the visual touch screen module based on the order product parameter transmission module, wherein the customer operates the three-dimensional model based on the visual touch screen module and uses a dynamic Gaussian algorithm model to cut the three-dimensional model for the customer to observe the internal components of the order product and compare them with their own needs.

[0015] The further improvement of the technical solution of the present invention is: based on the dynamic Gaussian algorithm model, taking 0 as the average, For the variance, create a Gaussian function, To substitute the numerical value, the output of the Gaussian function is normalized and used for opacity to achieve opacity correction.

[0016] A further improvement of the technical solution of the present invention is that the dynamic Gaussian algorithm model is expressed as follows:

[0017] in, and is the adjusted variable, Mainly to adjust the variance, For distance adjustment, is the line between the gaze point and the sampling point and the customer’s sight angle, is the variance of the Gaussian function of the sampling point, and the distance between the sampling point and the fixation point is , the distance between the sampling point and the starting point is , the starting point is the spatial position of the sampling point where the first opacity value of the line of sight is <0, is the opacity attenuation function, and opacity is the grayscale value of the data.

[0018] A further improvement of the technical solution of the present invention is that the Gaussian functions created at different sampling points of the line of sight are different, and the Gaussian functions in the Gaussian function follow the line of sight. As it increases gradually, the Gaussian curve becomes smoother, and the Gaussian function The effect is reduced, based on As decreases gradually, the gap between the output value of the Gaussian function and the maximum value narrows.

[0019] Compared with the prior art, the present invention has the following beneficial effects: The present invention communicates customer information and customer needs based on an information interaction terminal, stores customer information and order information through a customer information and order storage terminal, opens a customer visual operation interface, and uses an order product production monitoring terminal inside a manufacturing factory to monitor the production of order product samples, so that customers can watch the sample production process and the final product in real time, and perform three-dimensional scanning of the sample through an order product comparison terminal and transmit the product three-dimensional model to a visual operation interface, so that it is convenient for customers to compare the sample with their own needs, so that the order product better meets customer requirements, thereby not only allowing customers to observe sample production and improve customer trust, but also allowing customers to compare samples, so that the product better meets customer needs; The present invention adopts a dynamic Gaussian algorithm model, and based on the calculation of the dynamic Gaussian algorithm model, corrects the transparency of the three-dimensional model of the sample, so that the three-dimensional model of the sample can be cut and the internal structure of the sample is exposed, so that it is convenient for customers to compare the appearance and internal components of the sample with their own needs, so that the subsequently produced order products are more in line with the required products, avoiding the difference between the produced products and customer needs and affecting the final product delivery; The present invention enables customers to observe the product production process and the final product in real time through the cooperation of components such as sensors and camera modules through a visual operation interface, and enables customers to communicate with managers of manufacturing factories through the setting of a background information management module, which facilitates the staff to allocate production equipment according to customer needs and completes the interaction between customers and product production. Through the setting of a machine learning module, the customer's parameters are learned, so that when subsequent customers cooperate multiple times, the product production parameters can be submitted more quickly, thereby improving the efficiency of the manufacturing factory in producing ordered products, and through the setting of a neural grid module, the data in the operation process of the production equipment is learned, so that the neural grid module and the big data analysis module cooperate with each other, and the failure nodes of the production equipment are predicted in advance, which facilitates the managers to allocate maintenance personnel and improves the production rate of the manufacturing factory. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the overall structure of the present invention; Figure 2 It is a schematic structural block diagram of the order product production monitoring terminal in the present invention; Figure 3It is a schematic structural block diagram of the order prediction and delivery end in the present invention; Figure 4 is a schematic structural block diagram of the order product comparison end in the present invention; Figure 5 It is a structural block diagram of the visual operation interface and the order product comparison terminal in the present invention; Figure 6 It is a structural block diagram of the information interaction terminal and the customer information and order storage terminal in the present invention. DETAILED DESCRIPTION

[0021] Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0022] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0023] In addition, in order to better illustrate the present application, numerous specific details are provided in the specific embodiments below. It should be understood by those skilled in the art that the present application can also be implemented without certain specific details. In some examples, methods, means, and elements well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present application.

[0024] The present invention provides an intelligent visualization interactive system for a manufacturing factory, including an information interaction terminal, a customer information and order storage terminal, a visualization operation interface, an order product production monitoring terminal, an order product comparison terminal, and an order prediction and delivery terminal. Based on the above information interaction terminal, customer information, order storage terminal, visualization operation interface, order product production monitoring terminal, order product comparison terminal, and order prediction and delivery terminal, a complete process from contacting customers, retaining customer information, transmitting customer order information, monitoring the operation of order production equipment, monitoring order product production through a visualization interface, comparing samples through a visualization interface, and delivering orders is completed, which is convenient for customers to directly supervise the production of manufacturing factories, which not only improves customer trust, but also makes the produced order products more in line with customer needs. The customer information and order storage end includes a customer information transmission module, an order information transmission module, a storage module and an operation module. The customer information transmission module and the order information transmission module are used for the transmission of customer information and order information. The storage module is used for the storage of customer information and order information. The operation module is used for operating the stored information. After communicating with the customer through the information interaction end, the customer information transmission module transmits the customer's docking information to the storage module and stores the customer information. The order information transmission module transmits the customer's order demand information to the storage module and stores it relative to the customer information to complete the storage of the customer and order information. The setting of the operation module facilitates the subsequent retrieval of customer information, and the addition, subtraction and deletion of customer information, so as to facilitate the manufacturing factory to manage customer information and order information. Among them, the information interaction end includes a manufacturing factory introduction module, a customer registration module and a background information management module. The manufacturing factory introduction module is used to introduce the manufacturing factory, the customer registration module is used to register customer information, and the background information management module is used to manage customer information. The information interaction end is an HTML page. The HTML page information includes an introduction to the manufacturing factory, an introduction to production equipment, an introduction to visual interaction, a customer and customer service communication page, and the contact information and address of the manufacturing factory. Through the setting of the information interaction end, it is convenient for new customers to contact the manufacturing factory, and through the customer and customer service communication page, customers can interact with customer service, and retain customer information and customer service chat records, which is convenient for customer service to register customer information through the customer registration module, and through the background information management module, it is convenient for management personnel to modify and store customer information; The visual operation interface includes a visual touch screen module, a data processing module, a production monitoring module, an online communication module and an online display module. The visual touch screen module is used for customer operation, the data processing module is used to receive and process monitoring data transmitted by the manufacturing factory, the production monitoring module is used to monitor the order product production equipment, the online communication module is used for communication between customers and manufacturing factory managers, and the online display module is used for order product display. The visual operation interface is customer-oriented and is used for customers to monitor the processing of production equipment. The production monitoring module monitors the status of the production equipment during operation through sensors and camera modules, and processes the monitoring data through the data processing module and transmits it to the visual touch screen module for customer viewing. The online communication module facilitates communication between customers and manufacturing factory managers, allowing managers to adjust the production status more quickly, thereby completing the interaction between production equipment and customers, and making the products produced by production equipment more in line with customer needs. The order product production monitoring terminal includes sensors installed on product production equipment in a manufacturing factory, a camera module installed in the manufacturing factory, and a sensor data and camera data transmission module. The sensors include temperature and humidity sensors, vibration sensors, and data collectors. The camera module is a high-definition camera. The sensor is used to monitor the operating status of the production equipment. The camera module is used to monitor the production status. Through the setting of multiple sensors, the real-time status of the production equipment is monitored to ensure that the status of the production equipment is normal during operation, thereby avoiding changes in the status of the production equipment affecting the products produced, resulting in differences between the products and customer needs. Through the setting of the camera module, the products produced by the production equipment are photographed based on the high-definition camera, and the sensor data monitoring data and the products photographed by the high-definition camera are transmitted to the visual touch screen module through the sensor data and camera data transmission module, so that customers can monitor the production status of the order products in real time, which is convenient for customers to monitor the production status of the products; The order product comparison end includes a parameter display module, a machine learning module, an order three-dimensional scanning module and an order product parameter transmission module. The parameter display module is used to display order product parameters, the machine learning module is used to autonomously learn customer product parameters, the order three-dimensional scanning module is used to scan product information, and the order product parameter transmission module is used to transmit the scanned parameters. The order product produced by the production equipment is scanned through the order three-dimensional scanning module, and a three-dimensional model of the order product is produced. The production parameters of the three-dimensional model are marked through the parameter display module, and the three-dimensional model and production parameter information are transmitted to the visual touch screen module through the order product parameter transmission module for customers to watch, so that customers can compare the three-dimensional model and production parameters with their own needs, so that the order products produced by the production equipment are more in line with customer needs; When the 3D model and production parameters meet their own needs, the production equipment will continue to produce the ordered products. When the 3D model and production parameters do not meet the customer's own needs, the production parameters of the production equipment will be modified according to the parameters provided by the customer, so that the produced ordered products meet the customer's needs. Through the setting of the machine learning module, the customer's production parameters are synchronously transmitted to the machine learning module, and the customer's production parameters are memorized and learned. In the subsequent cooperation with the customer, the customer's production parameters can be directly extracted and used in the production equipment, which facilitates the manufacturing factory to quickly put the same customer's order into production, which not only improves the production efficiency of the manufacturing factory, but also makes customers more assured. The order prediction and delivery end includes a big data analysis module, a historical data storage module and a neural grid module. The historical data storage module is used to store the historical data of the production equipment on the product production information, the big data analysis module is used to analyze the historical data, and the neural grid module is used for autonomous learning and prediction of the failure nodes of the production equipment. According to the historical data storage module, the historical data of the order production is stored, and the stored data is transmitted to the neural grid module, so that the neural grid module learns the historical data. Through the mutual cooperation of the neural grid module and the big data analysis module, the failure nodes of the production equipment are predicted, thereby predicting the failure of the production equipment in advance, which is convenient for the management personnel to dispatch maintenance personnel to maintain the production equipment, and avoid the failure of the production equipment affecting the production of the product; The order forecasting and delivery end also includes an order product warehousing module, an order progress module and an order production information storage module. The order product warehousing module is used to process the warehousing of qualified products, the order progress module is used to display the real-time progress of order products, and the order production information storage module is used to store order production process data. Through the cooperation of the order progress module and the order product warehousing module, the order products are put into the warehouse after production, and the produced orders are recorded, so that the progress bar of the order progress module is pushed, which is convenient for customers to intuitively view the order production progress and warehousing status, and through the setting of the order production information storage module, the order production information and progress are stored and an operation log is generated, thereby leaving a trace of the warehousing of order production, which is convenient for subsequent management personnel to trace it.

[0025] The order 3D scanning module transmits the scanned 3D model to the visual touch screen module based on the order product parameter transmission module, wherein the customer operates the 3D model based on the visual touch screen module and cuts the 3D model using the dynamic Gaussian algorithm model, so that the customer can observe the internal components of the order product and compare them with their own needs. The order 3D scanning module scans the produced product and produces a 3D model, and transmits the 3D model to the visual touch screen module for the convenience of customer viewing. The dynamic Gaussian algorithm model can be used to cut the 3D model, thereby facilitating the customer to view the internal structure of the product, making it clearer for the customer to compare the products, so that the subsequent products are more in line with customer needs; Based on the dynamic Gaussian algorithm model, with 0 as the average, For the variance, create a Gaussian function, To substitute the numerical value, the output of the Gaussian function is normalized and used for opacity to achieve opacity correction; The dynamic Gaussian algorithm model is expressed as follows:

[0026] in, and is the adjusted variable, Mainly to adjust the variance, For distance adjustment, is the line between the gaze point and the sampling point and the customer’s sight angle, is the variance of the Gaussian function of the sampling point, and the distance between the sampling point and the fixation point is , the distance between the sampling point and the starting point is , the starting point is the spatial position of the sampling point where the first opacity value of the line of sight is <0, is the opacity attenuation function, and opacity is the grayscale value of the data;

[0027] The Gaussian functions created by different sampling points of the line of sight are different. Following the line of sight, the Gaussian function As it increases gradually, the Gaussian curve becomes smoother, and the Gaussian function The effect is reduced, based on The gap between the output value of the Gaussian function and the maximum value is reduced, so that more product information in the customer's field of view can be retained, making it clearer for customers to compare products.

[0028] In a specific implementation, the present application provides a computer storage medium and a corresponding data processing unit, wherein the computer storage medium can store a computer program, and when the computer program is executed by the data processing unit, the invention content of an intelligent visual interactive system for a manufacturing plant provided by the present invention and some or all of the steps in each embodiment can be executed. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0029] Those skilled in the art can clearly understand that the technical solutions in the embodiments of the present invention can be implemented by means of computer programs and their corresponding general hardware platforms. Based on such understanding, the technical solutions in the embodiments of the present invention can be essentially or partly contributed to the prior art in the form of computer programs, i.e., software products, which can be stored in a storage medium and include several instructions for enabling a device including a data processing unit (which can be a personal computer, a server, a single-chip microcomputer, an MCU or a network device, etc.) to execute the methods described in various embodiments of the present invention or certain parts of the embodiments.

[0030] The present invention provides an intelligent visual interactive system for a manufacturing plant. There are many methods and ways to implement the technical solution. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the protection scope of the present invention. All components not specified in this embodiment can be implemented by existing technologies.

Claims

1. An intelligent visual interactive system for a manufacturing plant, characterized by: The system includes an information interaction terminal, a customer information and order storage terminal, a visual operation interface, an order product production monitoring terminal, an order product comparison terminal, and an order prediction and delivery terminal; The information interaction terminal includes a manufacturing factory introduction module, a customer registration module and a background information management module. The manufacturing factory introduction module is used to introduce the manufacturing factory, the customer registration module is used to register customer information, and the background information management module is used to manage customer information. The visual operation interface includes a visual touch screen module, a data processing module, a production monitoring module, an online communication module and an online display module. The visual touch screen module is used for customer operation, the data processing module is used to receive and process monitoring data transmitted by the manufacturing factory, the production monitoring module is used to monitor the order product production equipment, the online communication module is used for communication between customers and manufacturing factory managers, and the online display module is used for order product display; The order product comparison end includes a parameter display module, a machine learning module, an order three-dimensional scanning module and an order product parameter transmission module. The parameter display module is used to display order product parameters, the machine learning module is used to autonomously learn customer product parameters, the order three-dimensional scanning module is used to scan product information, and the order product parameter transmission module is used to transmit the scanned parameters.

2. The intelligent visualization interactive system for a manufacturing factory according to claim 1, characterized in that: The customer information and order storage end includes a customer information transmission module, an order information transmission module, a storage module and an operation module. The customer information transmission module and the order information transmission module are used for transmitting customer information and order information, the storage module is used for storing customer information and order information, and the operation module is used for operating the stored information.

3. The intelligent visualization interactive system for a manufacturing factory according to claim 1, characterized in that: The order product production monitoring terminal includes a sensor arranged on a product production equipment of a manufacturing factory, a camera module arranged in the manufacturing factory, and a sensor data and camera data transmission module.

4. The intelligent visual interactive system for a manufacturing plant according to claim 3, characterized in that: The sensors include a temperature and humidity sensor, a vibration sensor and a data collector. The camera module is a high-definition camera. The sensors are used to monitor the operating status of production equipment, and the camera module is used to monitor the production status.

5. The intelligent visualization interactive system for a manufacturing factory according to claim 1, characterized in that: The order prediction and delivery end includes a big data analysis module, a historical data storage module and a neural grid module. The historical data storage module is used to store historical data of production equipment on product production information, the big data analysis module is used to analyze historical data, and the neural grid module is used for autonomous learning to predict failure nodes of production equipment.

6. The intelligent visual interactive system for a manufacturing plant according to claim 5, characterized in that: The order forecasting and delivery end also includes an order product warehousing module, an order progress module and an order production information storage module. The order product warehousing module is used to process the warehousing of qualified products, the order progress module is used to display the real-time progress of order products, and the order production information storage module is used to store order production process data.

7. The intelligent visualization interactive system for a manufacturing factory according to claim 1, characterized in that: The order three-dimensional scanning module transmits the scanned three-dimensional model to the visual touch screen module based on the order product parameter transmission module, wherein the customer operates the three-dimensional model based on the visual touch screen module and uses the dynamic Gaussian algorithm model to cut the three-dimensional model for the customer to observe the internal components of the order product and compare them with their own needs.

8. The intelligent visual interactive system for a manufacturing plant according to claim 7, characterized in that: Based on the dynamic Gaussian algorithm model, with 0 as the average, For the variance, create a Gaussian function, To substitute the numerical value, the output of the Gaussian function is normalized and used for opacity to achieve opacity correction.

9. The intelligent visual interactive system for a manufacturing factory according to claim 8, characterized in that: The dynamic Gaussian algorithm model is expressed as follows: in, and is the adjusted variable, Mainly to adjust the variance, For distance adjustment, is the line between the gaze point and the sampling point and the customer’s sight angle, is the variance of the Gaussian function of the sampling point, and the distance between the sampling point and the fixation point is , the distance between the sampling point and the starting point is , the starting point is the spatial position of the sampling point where the first opacity value of the line of sight is <0, is the opacity attenuation function, and opacity is the grayscale value of the data.

10. The intelligent visual interactive system for a manufacturing factory according to claim 8, characterized in that: The Gaussian functions created by different sampling points of the line of sight are different. Following the line of sight, the Gaussian function As it increases gradually, the Gaussian curve becomes smoother, and the Gaussian function The effect is reduced, based on As decreases gradually, the gap between the output value of the Gaussian function and the maximum value narrows.

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