CN206726022U - Pumping plant unit fault detection system based on convolutional neural networks - Google Patents
Pumping plant unit fault detection system based on convolutional neural networks Download PDFInfo
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- CN206726022U CN206726022U CN201720617171.8U CN201720617171U CN206726022U CN 206726022 U CN206726022 U CN 206726022U CN 201720617171 U CN201720617171 U CN 201720617171U CN 206726022 U CN206726022 U CN 206726022U
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Abstract
The utility model is related to a kind of pumping plant unit fault detection system based on convolutional neural networks includes：The data acquisition unit in each motor in pumping plant unit is installed on, and each motor is connected by data acquisition unit with industrial computer；Wherein described data acquisition unit includes：Some thermocouple sensors, cell convolutional neural networks chip, the thermocouple sensor is used to carry out temperature detection to the heat generating components of motor, and temperature data is sent to cell convolutional neural networks chip；The communication interface of the cell convolutional neural networks chip passes through ethernet communication module composition neutral net, and the analysis result of the temperature data of each motor is sent to industrial computer and is connected, and the industrial computer is suitable to send the temperature alarming data of a certain motor to cell convolutional neural networks chip corresponding to remaining each motor, to be used as learning sample data.
Description
Technical field
It the utility model is related to a kind of pumping plant unit fault detection system based on convolutional neural networks.
Background technology
Large-scale row's water pump station unit uses multiple motor to provide power for it, the safe operation of pumping plant unit with it is electronic
Whether machine, which breaks down, close ties.Motor can produce used heat during pumping plant unit operation, raise its temperature, parts
Temperature is too high or parts temperature anomaly increases and is the main reason for causing motor to break down, certainly due to can not artificial intelligence
It can control, therefore erroneous judgement, wrong report also occurs.
Utility model content
The purpose of this utility model is to provide a kind of pumping plant unit fault detection system based on convolutional neural networks, with logical
Cross temperature data acquisition and analysis of the cell convolutional neural networks chip realization to each motor in pumping plant unit.
In order to solve the above-mentioned technical problem, the utility model provides a kind of pumping plant unit event based on convolutional neural networks
Hinder detecting system, including：The data acquisition unit in each motor in pumping plant unit is installed on, and each motor is adopted by data
Collection unit is connected with industrial computer；Wherein described data acquisition unit includes：Some thermocouple sensors, cell convolutional neural networks
Chip, the thermocouple sensor is used to carry out temperature detection to the heat generating components of motor, and temperature data is sent to thin
Born of the same parents' convolutional neural networks chip；The communication interface of the cell convolutional neural networks chip passes through ethernet communication module composition god
Through network, and the analysis result of the temperature data of each motor is sent to industrial computer and is connected, and the industrial computer is suitable to
The temperature alarming data of a certain motor are sent to cell convolutional neural networks chip corresponding to remaining each motor, using as
Learning sample data.
Further, the industrial computer is also associated with fault alarm module, when cell convolutional Neural net corresponding to a motor
Network chip judges that a certain heat generating components exceedes second temperature threshold value more than the mean temperature of the first temperature threshold or each heat generating components
When, alarmed by industrial computer.
Further, a temperature transmitter is also set up in the working site of pumping plant unit, the temperature transmitter is suitable to scene
Temperature data is sent to industrial computer, is compensated with the analysis result of the temperature data to each motor.
Further, when pumping plant unit works, each cell convolutional neural networks chip is further adapted for controlling respectively corresponding electronic
The power output of machine；I.e. when the mean temperature of each heat generating components of a certain motor exceedes second temperature threshold value, the motor
The cell convolutional neural networks chip that interior cell convolutional neural networks chip is suitable into other motor sends control signal,
To regulate and control the power output of other motor.
The beneficial effects of the utility model are the pumping plant unit fault detects of the present utility model based on convolutional neural networks
System can realize the temperature data acquisition of corresponding heat generating components in multiple-motor, and send data to industrial computer, and pass through
Industrial computer is issued to each data acquisition unit after carrying out data summarization, to be used as cell convolutional Neural net in each data acquisition unit
The learning sample data of network chip, necessary data support is provided for the self study of cell convolutional neural networks chip.
Brief description of the drawings
The utility model is further illustrated with reference to the accompanying drawings and examples.
Fig. 1 is the theory diagram based on the pumping plant unit fault detection system of convolutional neural networks.
Embodiment
The utility model is described in further detail presently in connection with accompanying drawing.These accompanying drawings are simplified schematic diagram,
Only illustrate basic structure of the present utility model in a schematic way, therefore it only shows the composition relevant with the utility model.
As shown in figure 1, the utility model provides a kind of pumping plant unit fault detection system based on convolutional neural networks,
Including：The data acquisition unit in each motor in pumping plant unit is installed on, and each motor passes through data acquisition unit and work
Control machine is connected；Wherein described data acquisition unit includes：Some thermocouple sensors, cell convolutional neural networks chip, it is described
Thermocouple sensor is used to carry out temperature detection to the heat generating components of motor, and temperature data is sent to cell convolutional Neural
Network chip；The communication interface of the cell convolutional neural networks chip by ethernet communication module composition neutral net, and
The analysis result of the temperature data of each motor is sent to industrial computer and is connected, and the industrial computer be suitable to will be a certain electronic
The temperature alarming data of machine are sent to cell convolutional neural networks chip corresponding to remaining each motor, to be used as learning sample number
According to.
Specifically, at least ten motors are provided with the pumping plant unit provides power, the heating position is for example but unlimited
In parts such as motor coil, bearing, bearing shells.
Specifically, the industrial computer is also associated with fault alarm module, when cell convolutional Neural net corresponding to a motor
Network chip judges that a certain heat generating components exceedes second temperature threshold value more than the mean temperature of the first temperature threshold or each heat generating components
When, alarmed by industrial computer.
Preferably, a temperature transmitter is also set up in the working site of pumping plant unit, the temperature transmitter is suitable to scene
Temperature data is sent to industrial computer, is compensated with the analysis result of the temperature data to each motor.
When pumping plant unit works, each cell convolutional neural networks chip is further adapted for the output for controlling phase induction motor respectively
Power（Connect motor drive block）；I.e. when the mean temperature of each heat generating components of a certain motor exceedes second temperature threshold value
When, the cell convolutional neural networks chip in the motor is suitable to the cell convolutional neural networks chip hair into other motor
Control signal is sent, to regulate and control the power output of other motor.
Cell convolutional neural networks chip (Cellular/Convolutional NeuralNetworks, CNN), just
Being identified based on the medical image of cell neural network or convolutional neural networks as disclosed in Authorization Notice No. CN 205665697U
Convolutional neural networks chip mentioned in diagnostic system, it has some I/O ports to connect thermocouple sensor, electricity respectively
Motivation drive module and ethernet communication module, and also there is self-learning ability, each cell convolutional neural networks chip can be passed through
The data of transmission are mutually learnt, and coordinate power output to make first to adjust the first temperature threshold and/or second temperature threshold value
Temperature threshold and/or second temperature threshold value are modified, and are more nearly the actual temperature value of each motor, reduce temperature erroneous judgement and
The possibility of wrong report.
Using it is above-mentioned according to desirable embodiment of the present utility model as enlightenment, pass through above-mentioned description, related work people
Member can carry out various changes and amendments in the range of without departing from this item utility model technological thought completely.This item is real
The content being not limited to new technical scope on specification, it is necessary to which its technology is determined according to right
Property scope.
Claims (4)
- A kind of 1. pumping plant unit fault detection system based on convolutional neural networks, it is characterised in that including：The data acquisition unit in each motor in pumping plant unit is installed on, and each motor passes through data acquisition unit and industry control Machine is connected；WhereinThe data acquisition unit includes：Some thermocouple sensors, cell convolutional neural networks chip, the thermocouple sensing Device is used to carry out temperature detection to the heat generating components of motor, and temperature data is sent to cell convolutional neural networks chip；The communication interface of the cell convolutional neural networks chip is by ethernet communication module composition neutral net, and by each electricity The analysis result of the temperature data of motivation, which is sent to industrial computer, to be connected, and the industrial computer is suitable to the temperature of a certain motor Degree alert data is sent to cell convolutional neural networks chip corresponding to remaining each motor, to be used as learning sample data.
- 2. pumping plant unit fault detection system according to claim 1, it is characterised in thatThe industrial computer is also associated with fault alarm module, when cell convolutional neural networks chip judges certain corresponding to a motor When one heat generating components exceedes second temperature threshold value more than the mean temperature of the first temperature threshold or each heat generating components, pass through industrial computer Alarmed.
- 3. pumping plant unit fault detection system according to claim 2, it is characterised in thatA temperature transmitter is also set up in the working site of pumping plant unit, the temperature transmitter is suitable to send scene temperature data To industrial computer, compensated with the analysis result of the temperature data to each motor.
- 4. pumping plant unit fault detection system according to claim 3, it is characterised in thatWhen pumping plant unit works, each cell convolutional neural networks chip is further adapted for the output work for controlling phase induction motor respectively Rate；I.e.When the mean temperature of each heat generating components of a certain motor exceedes second temperature threshold value, the cell convolution in the motor The cell convolutional neural networks chip that neural network chip is suitable into other motor sends control signal, to regulate and control other electricity The power output of motivation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720617171.8U CN206726022U (en) | 2017-05-27 | 2017-05-27 | Pumping plant unit fault detection system based on convolutional neural networks |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201720617171.8U CN206726022U (en) | 2017-05-27 | 2017-05-27 | Pumping plant unit fault detection system based on convolutional neural networks |
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| CN206726022U true CN206726022U (en) | 2017-12-08 |
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| CN201720617171.8U Expired - Fee Related CN206726022U (en) | 2017-05-27 | 2017-05-27 | Pumping plant unit fault detection system based on convolutional neural networks |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111194431A (en) * | 2018-09-14 | 2020-05-22 | 西安大医集团有限公司 | Method, device and system for diagnosing state of radiotherapy equipment and storage medium |
-
2017
- 2017-05-27 CN CN201720617171.8U patent/CN206726022U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111194431A (en) * | 2018-09-14 | 2020-05-22 | 西安大医集团有限公司 | Method, device and system for diagnosing state of radiotherapy equipment and storage medium |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20171208 Termination date: 20180527 |