CN213814383U

CN213814383U - Circuit intelligent monitoring system

Info

Publication number: CN213814383U
Application number: CN202120126061.8U
Authority: CN
Inventors: 吕鑫; 汪卫东
Original assignee: Xiamen Yinjiang Smart City Technology Co ltd
Current assignee: Xiamen Yinjiang Smart City Technology Co ltd
Priority date: 2021-01-18
Filing date: 2021-01-18
Publication date: 2021-07-27
Anticipated expiration: 2031-01-18

Abstract

The utility model provides a circuit intelligent monitoring system, including 8 control module, edge calculation processing module, power module, TTL TCP communication module, transistor display, monitoring circuit module and supervisory equipment, edge calculation processing module with 8 control module connect, power module with edge calculation processing module's power input end is connected, 8 control module's output with the transistor display is connected, TTL TCP communication module with 8 control module both way communication, be used for with the TTL signal conversion of 8 control module output is TCP signal, supervisory equipment passes through monitoring circuit module with 8 control module connects. The utility model discloses both can realize carrying out intelligent monitoring to supervisory equipment's circuit, can realize remote control supervisory equipment again.

Description

Circuit intelligent monitoring system

Technical Field

The present disclosure relates to the field of intelligent control, and in particular, to an intelligent circuit monitoring system.

Background

The wave of digitized transformation of the industry has been raised all over the world, digitization is the foundation, networking is the support, and intellectualization is the target. The data is generated by digitalizing objects such as people, objects, environments, processes and the like, the value flow of the data is realized through networking, the data is used as a production element, and economic and social values are created for various industries through intellectualization.

The intellectualization is based on intelligent analysis of data, so that intelligent decision and intelligent operation are realized, and continuous intelligent optimization of a business process is realized through closed loop. Intelligent technologies represented by big data, machine learning, and deep learning have been applied to speech recognition, image recognition, user portrayal, and the like, and great progress has been made in algorithms, models, architectures, and the like. The intelligent technology is applied to industries such as manufacturing, electric power, transportation, medical treatment, agriculture and the like, and new requirements and challenges are provided for the intelligent technology. The age of industry intelligence has come.

At present, the circuit monitoring of the monitoring equipment is mainly detected by means of external instruments and meters, and the intelligent degree is not high. In view of the above, the present inventors have made extensive research and development to provide an intelligent circuit monitoring system.

SUMMERY OF THE UTILITY MODEL

In order to solve the technical problem, the utility model provides a circuit intelligent monitoring system.

The utility model discloses specifically adopt following technical scheme to realize:

the utility model provides a circuit intelligent monitoring system, includes 8 control module, edge calculation processing module, power module, monitoring circuit module and supervisory equipment, edge calculation processing module with 8 control module are connected, power module with the power input end of edge calculation processing module is connected, supervisory equipment passes through monitoring circuit module with 8 control module connects, monitoring circuit module is used for acquireing supervisory equipment's circuit parameter, circuit parameter stores to in the edge calculation processing module to obtain the model after neural network degree of depth study, monitoring circuit module collects supervisory equipment's real-time circuit parameter and through this model retest, obtains the result of prejudging, according to the result of prejudging supervisory equipment's electrical property.

As a preferable mode of the embodiment, the intelligent monitoring system further includes a TTL/TCP communication module, and the TTL/TCP communication module is in bidirectional communication with the 8-bit control module, and is configured to convert a TTL signal output by the 8-bit control module into a TCP signal.

As a preferable mode of the embodiment, the intelligent monitoring system further includes a transistor display, and the output end of the 8-bit control module is connected to the transistor display.

In a preferred embodiment, the transistor display adopts a 74HC59 chip and a 4-bit LED display tube.

As a preferable mode of the embodiment, the 8-bit control module is also connected with a reset circuit.

As a preferred mode of the embodiment, the 8-bit control module is a single chip microcomputer.

The utility model provides a circuit intelligent monitoring system, its beneficial effect lies in: the utility model discloses an aspect can realize the remote monitoring to supervisory equipment through TTL/TCP communication module; on the other hand, basic data of the circuit parameters of the monitoring equipment are continuously collected and stored in the edge calculation processing module, a model is built after deep learning training of the edge calculation processing module, the circuit parameters of the monitoring equipment collected in real time are collated and then retested in the model, whether the retested result reaches a preset threshold value or not is judged, a prejudgment result is obtained, and if the retested result exceeds the threshold value, the monitored equipment is judged to have quality defects on the circuit for reference and adjustment of background management personnel.

Drawings

The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.

FIG. 1 is a schematic block diagram of the circuit intelligent monitoring system of the present invention;

fig. 2 is a schematic pin diagram of the 8-bit control module according to the present invention;

FIG. 3 is a circuit diagram of the SY8100 voltage-reducing chip of the present invention;

fig. 4 is a circuit diagram of a transistor display of the present invention;

fig. 5 is a circuit connection diagram of the monitoring circuit module of the present invention;

fig. 6 is a circuit connection diagram of the reset circuit of the present invention.

Detailed Description

The present disclosure will be described in further detail with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not to be construed as limitations of the present disclosure. It should be further noted that, for the convenience of description, only the portions relevant to the present disclosure are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

As shown in fig. 1, the circuit intelligent monitoring system provided in this embodiment includes an 8-bit control module 1, an edge calculation processing module 2, a power module 3, a TTL/TCP communication module 4, a transistor display 5, a monitoring circuit module 6 and a monitoring device 7, where the edge calculation processing module 2 is connected to the 8-bit control module 1, the power module 3 is connected to a power input end of the edge calculation processing module 2, an output end of the 8-bit control module 1 is connected to the transistor display 5, the TTL/TCP communication module 4 is in bidirectional communication with the 8-bit control module 1, and is configured to convert a TTL signal output by the 8-bit control module 1 into a TCP signal, the monitoring device 7 is connected to the 8-bit control module 1 through the monitoring circuit module 6, and the monitoring circuit module 6 is configured to obtain a monitoring device circuit parameter, the circuit parameters are stored in the edge calculation processing module 2 and are subjected to deep learning by a neural network to obtain a model, monitoring equipment circuit data collected by the monitoring circuit module 6 in real time are retested by the model to obtain a pre-judgment result, which monitored equipment or system has equipment quality defects or design defects of a network structure are analyzed, and a plurality of pre-judgment conclusions are provided for reference and adjustment of background management personnel, so that the effective utilization rate of the pre-judgment equipment is realized.

The monitoring circuit module of the embodiment continuously collects monitoring equipment circuit parameter samples, stores the samples in the edge calculation processing module, establishes a model of the monitoring equipment circuit parameters in the edge calculation processing module through neural network deep learning, performs retesting on the collected real-time data in the model, and calculates to obtain a prediction result. The judgment result given by the intelligent circuit system is based on the big data of the circuit parameters of the monitoring equipment, and the accuracy of the judgment result is improved.

The 8-bit control module 1 of the embodiment is a quad-core ARM, and bears the operating environment and services; the edge calculation processing module 2 of this embodiment mainly provides resources required for operation and computational power for a 128-core GPU, so that the output of the operation result is faster.

The 8-bit control module 1 of this embodiment adopts a single chip, a pin diagram of the 8-bit control module is shown in fig. 2, and each branch module is received and controlled by a pin voltage, pins 1 to 9 are P1.0 to P1.10, where P1.0 to P1.7 is used for an output control end of UM2803, pin 10 is a RST reset pin, pin 11 is a P3.0 pin 12 is a P4.3 pin, pins 13 to 19 are P3.1 to P3.7, where P3.0, P3.1, and P3.4 are used for transmitting data with a max1487 communication module, P3.2 is used for controlling a buzzer, pins 20 to 21 are chip external crystal oscillator pins, pin 22 is a power supply GND pin, pin 22 is a P4.0 pin, pin 23 is P4.0, pins 24 to 31 are P2.1 to P2.7, pins 36 to 43 are P0.7 to P0.0, where P0.0, P0.1, P0.74, and P0.2 are used for controlling an HC595 chip communication control nixie.

The power module 3 of this embodiment steps down 12V dc to 5V dc, and the power module of this embodiment uses SY8100 step-down chip as the core, realizes the step-down work of 12V to 5V, and wherein pin 5 is 12V input, through SY8100 transform circuit, can realize exporting 5V, 3V, and its circuit connection diagram is shown in fig. 3.

The transistor display 5 of the present embodiment is composed of a 74HC59 chip and a 4-bit LED display tube, and the display of the 4-bit LED display tube is realized by controlling the 74HC59 chip through a single chip microcomputer, and a specific circuit connection diagram is shown in fig. 4.

The monitoring circuit module 6 of the present embodiment processes 5V input and 12V output by using the UM2803 unit chip, and a connection diagram of the UM2803 unit chip is shown in fig. 5.

In this embodiment, the TTL/TCP communication module 4 solves the problem of data communication, converts a data packet of a TCP protocol into a 485 communication protocol, and communicates with the single chip microcomputer to remotely monitor the monitoring device.

The 8-bit control module 1 of this embodiment is further connected to a reset circuit 8, the reset circuit 8 of this embodiment is used to solve the problem that the single chip microcomputer operates for a long time and automatically resets and restarts in downtime, and a schematic circuit diagram of the reset circuit is shown in fig. 6 and connected to the RST end of the single chip microcomputer.

According to the circuit intelligent monitoring system, on one hand, remote monitoring of the monitoring equipment can be achieved through the TTL/TCP communication module; on the other hand, basic data of the circuit parameters of the monitoring equipment are continuously collected and stored in the edge calculation processing module, a model is built after deep learning training of the edge calculation processing module, the circuit parameters of the monitoring equipment collected in real time are collated and then retested in the model, whether the retested result reaches a preset threshold value or not is judged, a prejudgment result is obtained, and if the retested result exceeds the threshold value, the monitored equipment is judged to have quality defects on the circuit for reference and adjustment of background management personnel.

It will be understood by those skilled in the art that the foregoing embodiments are merely for clarity of illustration of the disclosure and are not intended to limit the scope of the disclosure. Other variations or modifications may occur to those skilled in the art, based on the foregoing disclosure, and are still within the scope of the present disclosure.

Claims

1. The utility model provides a circuit intelligent monitoring system, its characterized in that, includes 8 control module, edge calculation processing module, power module, monitoring circuit module and supervisory equipment, edge calculation processing module with 8 control module are connected, power module with edge calculation processing module's power input end is connected, supervisory equipment passes through monitoring circuit module with 8 control module is connected, monitoring circuit module is used for acquireing supervisory equipment's circuit parameter, circuit parameter stores to obtain the model after neural network degree of depth study in the edge calculation processing module to monitoring circuit module collects supervisory equipment's real-time circuit parameter and retest through this model, obtains the result of prejudging according to the result of prejudging in order to judge supervisory equipment's electrical property.

2. The intelligent monitoring system of claim 1, wherein: the intelligent monitoring system also comprises a TTL/TCP communication module, wherein the TTL/TCP communication module is in two-way communication with the 8-bit control module and is used for converting TTL signals output by the 8-bit control module into TCP signals.

3. The intelligent monitoring system of claim 1, wherein: the intelligent monitoring system further comprises a transistor display, and the output end of the 8-bit control module is connected with the transistor display.

4. The intelligent monitoring system of claim 1, wherein: the 8-bit control module is a singlechip.

5. The intelligent monitoring system of claim 1, wherein: the 8-bit control module is also connected with a reset circuit.

6. The intelligent monitoring system of claim 3, wherein: the transistor display adopts a 74HC59 chip and a 4-bit LED display tube.