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Food quality monitoring device based on neural network

A food quality and monitoring device technology, applied in the field of food quality monitoring devices based on neural network, can solve the problems of lack of real-time and reliability, tedious preparation work, etc., and achieve powerful parallel processing capability, strong real-time performance and convenient recording Effect

Active Publication Date: 2016-08-24
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The preparation work required for the operation of this traditional detection process is too cumbersome. In the process of implementation, sometimes a huge sample is needed for support, and it takes a certain amount of extra time to wait for the detection results, which lacks certain real-time and reliability.

Method used

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  • Food quality monitoring device based on neural network
  • Food quality monitoring device based on neural network
  • Food quality monitoring device based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] refer to figure 1 , a neural network-based food quality monitoring device of the present invention: consists of a data processing drive module (1) connected to a storage display module (2). It is characterized in that: the data processing drive module (1) is used to collect and process temperature interface signals and provide the ability to drive the display, and the temperature receiving end (11) is connected to the online processing module (13) via the data conversion module (12), Either the temperature receiving end (11) is connected to the online processing module (15) via the data operation module (14), or the temperature receiving end (11) is connected to the online processing module (17) via the data operation module (16) and a The module configuration displayed by the drive scan. The data conversion module (12) is used to convert the data received from the temperature receiving end (11) into digital output, the online processing module (13) records the data pr...

Embodiment 2

[0042] Embodiment 2: This embodiment is basically the same as Embodiment 1, and the special features are as follows:

[0043] In the aforementioned neural network-based food quality monitoring device, the data operation module (14) includes a multiplier (141), an accumulator (142), a subtractor (143), a shift register (144), a multiplication The device (141) is used for data multiplication, the accumulator (142) is used for sum calculation, the subtractor (143) is used for subtraction of values, and the shift register (144) is shifted to the right to realize the function of the divider; The data operation module (16) includes an accumulator (161), a divider (162), the accumulator is used for summing the collected data, and the divider (162) is used for calculating the mean value of the collected data, and the divider can adopt shifting A right shift implementation of a bit register.

[0044] In the aforementioned neural network-based food quality monitoring device, the online...

Embodiment 3

[0049] Embodiment three: this embodiment is basically the same as embodiment two, and the special features are as follows:

[0050] refer to Figure 6, in the above-mentioned a kind of food quality monitoring device based on neural network, described parallel processing mode can realize with neural network structure, wherein, described neural network structure comprises input module, intermediate module and output module; Described input module It is composed of m input neurons, the intermediate module is composed of n interneurons, and completes the radial basis function (RBF) operation, and the probability number is used in the operation process (that is, the occurrence of 0 or 1 in the data sequence within a period of time Probability represents a value), the type of radial basis function includes but not limited to Gaussian function, multi-quadratic function, inverse multi-quadratic function, thin-plate spline function, cubic function, linear function; the output module co...

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Abstract

The invention relates to a food quality monitoring device based on a neural network. The food quality monitoring device is formed by connecting a data processing and driving module with a storage and display module. The data processing and driving module is used for collecting and processing signals of a temperature receiving end and providing the capacity of driving a display and comprises the temperature receiving end, a data conversion module, a data operation module, a data processing module and a driving, scanning and displaying module. The storage and display module is formed by connecting a data storage module with the micro-display and used for displaying current temperature data and food quality coefficients in the data storage module on the display. The food quality monitoring device is characterized in that complex formula operation is achieved by adopting the neural network, a parallel processor FPGA is used, the data is transmitted to a monitoring module in a wireless transmission communication mode, and the alarm prompting function is added. According to the food quality monitoring device, not only are hardware resources saved, but also the operation and processing speed is high, the timeliness is high, and the good practical value is achieved.

Description

technical field [0001] The invention relates to a food quality monitoring device based on a neural network, which includes a data processing and driving module and a storage and display module. Background technique [0002] Sensor technology is the cutting-edge technology of modern science and technology. Many countries have listed sensor technology as equally important as communication technology and computer technology. With the rapid development of modern technology, the application fields of sensors are becoming wider and wider. [0003] At present, the Chinese patent, its patent number is 201010578698.7 "Temperature detection system", the system collects the temperature of the temperature measurement position on the device to be tested to obtain a temperature signal, and sends the temperature signal to the wireless gateway through an intelligent relay, the system The disadvantage is that it does not take into account that when the temperature signal changes suddenly, a...

Claims

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Application Information

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IPC IPC(8): G01N33/02G01K1/02G06N3/08G01K1/024
CPCG06N3/082G01K1/022G01K1/024G01N33/02
Inventor 季渊王成其陈文栋王雪纯冉峰
Owner SHANGHAI UNIV
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