阅读说明：本技术 一种基于神经网络的新型展台系统 (Novel exhibition stand system based on neural network ) 是由 闫明明 陈绪浩 李迅波 于 2019-09-27 设计创作，主要内容包括：本发明公开了一种基于神经网络的新型展台系统,包括了PID调控磁悬浮技术、物联网技术以及神经网络技术；通过各个线圈产生一个综合的磁场,通过磁场间的排斥力,实现展品在空中悬浮旋转,进行多维度展示；通过物联网技术使分散的各个展台连成一体；红外线探测器的热电元件能够检测到人体的存在和移动,无线传输模块使每个展台返回所收集的数据到上位机终端,最终形成一个数据库；再通过神经网络技术对所收集的大数据进行自动分析及数据预测；通过上述方式,本发明能够降低人力资源管理成本,实现销售精准化、以及展台与管理人员、管理机构和电脑控制终端之间的信息化管理。(The invention discloses a novel exhibition stand system based on a neural network, which comprises a PID (proportion integration differentiation) regulation magnetic suspension technology, an Internet of things technology and a neural network technology; generating a comprehensive magnetic field through each coil, and realizing the suspension rotation of the exhibit in the air through the repulsive force among the magnetic fields to carry out multi-dimensional exhibition; connecting the scattered exhibition stands into a whole through the Internet of things technology; the thermoelectric element of the infrared detector can detect the existence and the movement of a human body, and the wireless transmission module enables each exhibition stand to return collected data to the upper computer terminal to finally form a database; automatically analyzing the collected big data and predicting the data by a neural network technology; through the mode, the management system can reduce the human resource management cost, and realize accurate sales and information management among the exhibition stand, the management personnel, the management mechanism and the computer control terminal.)

1. A novel exhibition stand system based on a neural network is characterized in that; including using single chip microcomputer technique and PID algorithm to realize the stable suspension of magnetic suspension, link each stand through internet of things and become an organic whole and collect data with infrared detector, carry out automatic analysis, processing and prediction to the data of collecting through neural network technique again to apply to show such as jewelry, work of art, wherein:

the single chip microcomputer technology takes an arduino uno single chip microcomputer as a central processing unit, a TB6612 driving plate is used for driving and a coil, a Hall sensor is used for reading magnetic field data change, a linear Hall element is adopted, and a built-in amplifier is directly connected to arduinouno for use; the alternating current with the standard voltage of 220V is directly used for reducing the voltage of an adapter to 12V and is connected with a drive plate to be connected with a push-down magnetic suspension device for supplying power, and the voltage of 6V is led out from the drive plate to supply power to an arduino uno single chip microcomputer; the arduino uno single chip microcomputer is used as a system core and controls all hardware structures; a principle that the intensity of magnetic lines passing through the vertical surface of a Hall sensor element is read by a singlechip ADC to be converted into different voltage values and float position information is obtained; therefore, the exhibition stand is determined to adopt four coils in all, namely, the front coil, the rear coil, the left coil and the right coil, and the floater is stably suspended in a mounting mode of matching the two Hall sensors;

the PID algorithm is characterized in that the degree of a Hall element, namely the position of a floater, is used as an input variable and input into a PID function, a target value, namely a reading value of the floater at the middle position is set, then the output is assigned to a PWM driving coil, and finally a PID parameter is adjusted to control the floater by self.

2. The novel neural network-based exhibition stand system according to claim 1, wherein: installing an infrared detector at the edge of the PID control magnetic suspension exhibition stand; the infrared detector detects the existence and the residence time of a human body by using the thermoelectric element, and the existence and the residence time are uploaded to an upper computer terminal by the wireless transmission module to finally form a large database; the manager can see the time of the customer in the background system database before each exhibit, and the potential customer can be promoted to buy in time; meanwhile, the software can analyze the collected data, establish a model of standing time and purchase, analyze the purchase preference of the customer and improve the sales strategy in real time.

3. The novel neural network-based exhibition stand system according to claim 1, wherein: adding a neural network technology, taking the in-store people flow, the number of the staying people and the time of each exhibition stand and the sales amount of each exhibition stand within one month after the exhibition stands are installed as a data training set to perform weight ratio training on a bp network, setting the bp network into three layers, namely an input layer, a hidden layer and an output layer, wherein the number of neural units of the input layer is equal to the number of the exhibition stands, respectively inputting the staying time of a customer at each exhibition stand, and setting the number of nodes of the hidden layer to be 24; the number of the nodes of the output layer is 2, and the residence time frequency and the predicted sales volume of each exhibition stand customer are respectively output; before use, a complete bp neural network structure is trained by using sales data for one month, each weight matrix is adjusted, and a complete neural network structure is trained; and then, the structure is used for analyzing based on the pedestrian flow and the data of the infrared sensors of the exhibition stands, the business limit of each day is predicted, a manager is helped to find the optimal solution of product collocation, and the optimization of the output value is realized.

Technical Field

The invention relates to the technical field of magnetic suspension, in particular to a novel exhibition stand system based on a neural network.

Background

The magnetic suspension technology is a technology for overcoming gravity to suspend an object by utilizing magnetic force; as an advanced research technology at the present stage, the method has the advantages of low energy consumption, small pollution, safety, reliability, long service life and the like, so that the method is widely applied to the research in the aspects of large-scale industry, traffic, aviation and the like; the research of the magnetic suspension technology can realize the cross permeation in a plurality of subject fields such as physics, automatic system and the like, and the practical significance is very important.

At present, magnetic levitation technology is widely applied to our lives and industries, and the large-scale application of magnetic levitation technology in China mainly focuses on the most popular magnetic levitation train and magnetic levitation bearing, and the development of the magnetic levitation technology in other fields is less. For example, a magnetic suspension product is available in the market, can suspend the ironmen and steel statue, is provided with a lighting effect, but has high selling price and narrow service level, and is mostly used for office decoration, for example, a magnetic suspension clock product is available for Taobao, and the hour hand and the minute hand are suspended and rotated by using a magnetic suspension technology to indicate time, but the product has low practical value and is difficult to popularize.

Meanwhile, Artificial Neural Networks (ANN) are research hotspots that have emerged in the field of Artificial intelligence since the 80's of the 20 th century; the method abstracts a human brain neuron network from the information processing angle, establishes a certain simple model, and forms different networks according to different connection modes; through the development of nearly half a century, the neural network theory has achieved wide success in a plurality of research fields such as pattern recognition, automatic control, signal processing, assistant decision making, artificial intelligence and the like; research on the mechanism and simulation of processes with intelligent characteristics, such as learning, association, and memory, is receiving more and more attention.

According to the survey, magnetic suspension application exhibition stands gradually appear in the market at present, but the exhibition stands are used as single ornaments, the integration of a plurality of exhibition stands is not realized by using the Internet of things technology and the neural network technology, and the design of artificial intelligence analysis data is lacked.

Therefore, the problem of how to enable the magnetic suspension exhibition stands to suspend more stably and perform multi-dimensional exhibition, and enable a plurality of magnetic suspension exhibition stands to be integrated and realize the management of informatization and artificial intelligence is solved by the design.

Disclosure of Invention

Therefore, in order to solve the above disadvantages, the present invention provides a novel exhibition stand system based on a neural network, which can implement stable suspension and multidimensional exhibition of magnetically suspended exhibits by using a single chip microcomputer technology and a PID algorithm, connect the exhibition stands into a whole by using an internet of things technology, collect various data by using an infrared detector, and perform automatic analysis processing and data prediction on the collected data by using a neural network technology, thereby implementing integration of exhibition of jewelry, art works, etc., and achieving the final purpose of information and artificial intelligent management thereof.

The invention is realized in such a way, a novel exhibition stand system based on a neural network is constructed, and technologies such as a PID regulation magnetic suspension technology, an Internet of things technology, an infrared detection technology, a neural network and the like are applied (; the novel exhibition stand system is characterized by comprising the steps of realizing the stable suspension of magnetic suspension by applying a single chip microcomputer technology and a PID algorithm, connecting all exhibition stands into a whole by the Internet of things technology, collecting data by using an infrared detector, automatically analyzing, processing and predicting the collected data by the neural network technology, and applying the data to the exhibition of jewelry, artworks and the like, wherein:

the single chip microcomputer technology takes an arduino uno single chip microcomputer as a central processing unit, a TB6612 driving plate is used for driving and a coil, a Hall sensor is used for reading magnetic field data change, a linear Hall element is adopted, and a built-in amplifier is directly connected to arduinouno for use; the alternating current with the standard voltage of 220V is directly used for reducing the voltage of an adapter to 12V and is connected with a drive plate to be connected with a push-down magnetic suspension device for supplying power, and the voltage of 6V is led out from the drive plate to supply power to an arduino uno single chip microcomputer; the arduino uno single chip microcomputer is used as a system core and controls all hardware structures; a principle that the intensity of magnetic lines passing through the vertical surface of a Hall sensor element is read by a singlechip ADC to be converted into different voltage values and float position information is obtained; therefore, the exhibition stand is determined to adopt four coils in all, namely, the front coil, the rear coil, the left coil and the right coil, and the floater is stably suspended in a mounting mode of matching the two Hall sensors;

the PID algorithm is characterized in that the degree of a Hall element, namely the position of a floater, is used as an input variable to be input into a PID function, a target value, namely a reading value of the floater at the middle position is set, then the output is assigned to a PWM driving coil, and finally PID parameters are adjusted to control the floater by self;

the novel exhibition stand system based on the neural network is characterized in that: installing an infrared detector at the edge of the PID control magnetic suspension exhibition stand; the infrared detector detects the existence and the residence time of a human body by using the thermoelectric element, and the existence and the residence time are uploaded to an upper computer terminal by the wireless transmission module to finally form a large database; the manager can see the time of the customer in the background system database before each exhibit, and the potential customer can be promoted to buy in time; meanwhile, the software can analyze the collected data, establish a model of standing time and purchase, analyze the purchase preference of the customer and improve the sales strategy in real time.

The novel exhibition stand system based on the neural network is characterized in that: adding a neural network technology, taking the in-store people flow, the number of the staying people and the time of each exhibition stand and the sales amount of each exhibition stand within one month after the exhibition stands are installed as a data training set to perform weight ratio training on a bp network, setting the bp network into three layers, namely an input layer, a hidden layer and an output layer, wherein the number of neural units of the input layer is equal to the number of the exhibition stands, respectively inputting the staying time of a customer at each exhibition stand, and setting the number of nodes of the hidden layer to be 24; the number of the nodes of the output layer is 2, and the residence time frequency and the predicted sales volume of each exhibition stand customer are respectively output; before use, a complete bp neural network structure is trained by using sales data for one month, each weight matrix is adjusted, and a complete neural network structure is trained; and then, the structure is used for analyzing based on the pedestrian flow and the data of the infrared sensors of the exhibition stands, the business limit of each day is predicted, a manager is helped to find the optimal solution of product collocation, and the optimization of the output value is realized.

The invention has the following advantages: the invention discloses a novel exhibition stand system based on a neural network, which comprises a PID (proportion integration differentiation) regulation magnetic suspension technology, an Internet of things technology and a neural network technology; generating a comprehensive magnetic field through each coil, and realizing the suspension rotation of the exhibit in the air through the repulsive force among the magnetic fields to carry out multi-dimensional exhibition; connecting the scattered exhibition stands into a whole through the Internet of things technology; the thermoelectric element of the infrared detector can detect the existence and the movement of a human body, and the wireless transmission module enables each exhibition stand to return collected data to the upper computer terminal to finally form a database; automatically analyzing the collected big data and predicting the data by a neural network technology; through the mode, the management system can reduce the human resource management cost, and realize accurate sales and information management among the exhibition stand, the management personnel, the management mechanism and the computer control terminal.

Compared with the existing magnetic suspension exhibition stand, the intelligent monitoring system effectively combines the PID regulation magnetic suspension technology, the Internet of things technology, the infrared detection technology, the neural network technology and the like, so that the exhibition stand is diversified in function, better in stability, green and environment-friendly, can realize multi-dimensional exhibition and detection of exhibits, has the special function of intelligently collecting relevant data of the exhibition stand and customers, and can perform self analysis, processing and prediction on the collected data, thereby achieving wireless monitoring work and providing accurate service.

Drawings

FIG. 1 is a schematic workflow diagram of the present invention;

FIG. 2 is a schematic diagram of a scene simulation structure in practical use of the present invention;

fig. 3 is a simulation diagram of the effect of the invention.

Wherein: 1. displays such as jewelry; 2. a suspension display board; 3. an embedded magnetic suspension device; 4. a showcase 5 and an infrared sensor; 6. radio frequency wireless communication module.

Detailed Description

The present invention will be described in detail with reference to fig. 1 to 3, and the technical solutions in the embodiments of the present invention will be clearly and completely described, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. 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.

The novel exhibition stand system based on the neural network is improved, the stable suspension and the multidimensional exhibition of magnetically suspended exhibits can be achieved by applying a single chip microcomputer technology and a PID algorithm, the exhibition stands are connected into a whole through an internet of things technology, various data are collected through an infrared detector, the collected data are automatically analyzed and processed through the neural network technology, and data prediction is conducted, so that integration of exhibition of jewelry, artworks and the like is achieved, and the final purpose of information and artificial intelligent management of the exhibition stand system is achieved.

The following detailed description is made of the working procedure of the embodiment of the present invention: referring to fig. 1, an embodiment of the present invention includes: the problems that the traditional magnetic suspension exhibition stand is unstable in suspension, single in function, monotonous in exhibition mode, inconvenient to manage and the like are solved by the aid of a single chip microcomputer technology, a PID algorithm, an Internet of things technology, an infrared detection technology and a neural network technology, wherein the problems comprise that: the single chip microcomputer technology and the PID algorithm are adopted, so that the traditional magnetic suspension exhibition stand is more stable in suspension, and the multi-dimensional exhibition of the exhibited articles can be realized; the dispersed magnetic suspension exhibition stands are connected into a whole through the Internet of things technology, so that the integration of a plurality of exhibition stands is achieved, and the centralized management is facilitated; installing an infrared detector at the edge of each magnetic suspension exhibition stand, detecting the existence, movement and temperature measurement of a human body by using a thermoelectric element, converting a thermoelectric output signal into a voltage signal, returning the collected data to an upper computer terminal by using a wireless transmission module, and finally converting to form a large database; and then, the collected big data is automatically analyzed and data is predicted through a neural network technology, a sales scheme is improved and optimized in real time, the human resource management cost is reduced, and the sales precision and the information management among the exhibition stand, the management personnel, the management mechanism and the computer control terminal are realized.

The internal circuit connection mode of the embedded magnetic suspension device is characterized in that referring to fig. 2, an arduinouno single chip microcomputer is used as a central processing unit, a TB6612 driving plate is used for driving and winding, a Hall sensor is used for reading magnetic field data change, the Hall element generally needs to be amplified by an amplifying circuit, the scheme adopts a linear Hall element, the built-in amplification is directly connected to arduino uno for use, alternating current with standard voltage of 220V is directly used for reducing the voltage of an adapter to 12V and is connected with a driving plate to push down the magnetic suspension device for power supply, 6V voltage is led out from the driving plate to supply power to the arduino uno single chip microcomputer, the arduino uno single chip microcomputer is used as a system core to control all hardware structures, an infrared sensor and a radio frequency wireless communication module are powered by 5V through the single chip microcomputer, the infrared sensor is arranged on the outer side of a display stand and can, the singlechip communicates with the computer wirelessly through the module.

Compared with the existing magnetic suspension exhibition stand, the intelligent monitoring system effectively combines the PID regulation magnetic suspension technology, the Internet of things technology, the infrared detection technology, the neural network technology and the like, so that the exhibition stand is diversified in function, better in stability, green and environment-friendly, can realize multi-dimensional exhibition and detection of exhibits, has the special function of intelligently collecting relevant data of the exhibition stand and customers, and can perform self analysis, processing and prediction on the collected data, thereby achieving wireless monitoring work and providing accurate service.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.