CN102494717A - Engineering machinery fault diagnosis system based on sensor data wireless transmission - Google Patents
Engineering machinery fault diagnosis system based on sensor data wireless transmission Download PDFInfo
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- CN102494717A CN102494717A CN201110379576XA CN201110379576A CN102494717A CN 102494717 A CN102494717 A CN 102494717A CN 201110379576X A CN201110379576X A CN 201110379576XA CN 201110379576 A CN201110379576 A CN 201110379576A CN 102494717 A CN102494717 A CN 102494717A
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Abstract
The invention provides an engineering machinery fault diagnosis system based on sensor data wireless transmission. The system comprises a sensor group module, a signal processing module, a wireless data transmission module, an embedded fault diagnosis module, a liquid crystal display module and a keyboard module, wherein the sensor group module, the signal processing module, the wireless data transmission module and the embedded fault diagnosis module are connected in sequence; and the liquid crystal display module and the keyboard module are connected with the embedded fault diagnosis module respectively. The system has a high diagnosis speed and high diagnosis accuracy, and can be effectively applied to fault diagnosis of engineering machinery.
Description
Technical field
The present invention relates to the engineering machinery fault diagnosis field, special, relate to a kind of engineering machinery fault diagnosis system based on the sensing data wireless transmission.
Technical background
Engineering machinery is widely used in the middle of the construction operation of road engineering, mine excavation, water conservancy construction and military installations; For the labour intensity that alleviates the operator, improve the efficient of integral construction and ensure that the quality aspect of engineer operation has played enormous function.
But the engineering machinery construction environment is abominable, system load intensity is big, causes the engineering machinery fault to take place frequently, and greatly reduces operating efficiency.Existing engineering machinery fault diagnosis mostly combines simple checkout equipment to judge through operating personnel's experience, and diagnosis speed is slow, accuracy is low, can't satisfy the efficient construction requirement of modern project machinery.Therefore, realize the diagnosis rapidly and efficiently of working-yard engineering machinery fault, have great importance for improving the engineering machinery operating efficiency.
Summary of the invention
In order effectively to overcome the deficiency of engineering machinery fault diagnosis in the past, the invention provides a kind of engineering machinery fault diagnosis system based on the sensing data wireless transmission, can carry out field diagnostic to the engineering machinery fault.
The invention provides a kind of engineering machinery fault diagnosis system based on the sensing data wireless transmission; Comprise sensor groups module, signal processing module, wireless data transfer module, embedded failure diagnosis module, LCD MODULE, Keysheet module; Said sensor groups module, signal processing module, wireless data transfer module, embedded failure diagnosis module link to each other successively, and said LCD MODULE is connected with the embedded failure diagnosis module respectively with Keysheet module; Said sensor groups module comprises pressure transducer group, flow sensor group, obliquity sensor group, vibration transducer group, sets of temperature sensors, other sensor groups; Said signal processing module comprises A/D converting unit, filter unit, signal processing unit; Said wireless transport module comprises wireless data transmission unit, wireless data transmission channel, wireless data receiving element; Said embedded failure diagnosis module comprises data pretreatment unit, fault fuzzy characteristics extraction unit, failure modes unit.
As preferred a kind of scheme: the engineering machinery fault diagnosis system based on the sensing data wireless transmission also comprises the exterior storage card module; Said exterior storage card module is connected with the embedded failure diagnosis module; The read-write SD storing card data of this exterior storage card module, max cap. can reach 32GB.
Diagnosis speed of the present invention is fast, accuracy rate of diagnosis is high, can be effectively applied in the middle of the fault diagnosis of engineering machinery.
Description of drawings
Fig. 1 is a theory diagram of the present invention.
Fig. 2 is the process flow diagram of practical implementation of the present invention.
Embodiment
Be described further below in conjunction with the accompanying drawing specific embodiments of the invention.
With reference to Fig. 1; A kind of engineering machinery fault diagnosis system based on the sensing data wireless transmission; Comprise sensor groups module 1, signal processing module 2, wireless data transfer module 3, embedded failure diagnosis module 4, LCD MODULE 5, Keysheet module 6; Said sensor groups module 1, signal processing module 2, wireless data transfer module 3, embedded failure diagnosis module 4 link to each other successively, and said LCD MODULE 5 is connected with embedded failure diagnosis module 4 respectively with Keysheet module 6.
Said sensor groups module 1 comprises pressure transducer group 101, flow sensor group 102, obliquity sensor group 103, vibration transducer group 104, sets of temperature sensors 105, other sensor groups 106; Can gather all kinds of status signals on the engineering machinery in real time, be the basis of fault diagnostic system.
Said signal processing module 2 comprises A/D converting unit 201, filter unit 202, signal processing unit 203, can carry out the conversion of analog to digital to all kinds of status signals that sensor groups module 1 is gathered, and carry out Filtering Processing, signal Processing.
Said wireless transport module 3 comprises wireless data transmission unit 301, wireless data transmission channel 302, wireless data receiving element 303, can send to embedded failure diagnosis module 4 through Wireless transmission mode from signal processing module 2 with handling later status signal data well.
Said embedded failure diagnosis module 4 comprises data pretreatment unit 401, fault fuzzy characteristics extraction unit 402, failure modes unit 403; Data pretreatment unit 401 can carry out normalization to the various types of signal data of gathering to be handled; Fault fuzzy characteristics extraction unit 402 can use the parameter of fuzzy autoregressive model extraction model as the fault fuzzy characteristics; Failure modes unit 403 utilizes neural net method that fault signature is classified, thereby obtains fault diagnosis result.
Said LCD MODULE 9 adopts the low power consumption liquid crystal display board, can show engineering machinery various types of signal data, figure and fault diagnosis result;
Said Keysheet module 10 adopts membrane keyboard, is used for importing all kinds of orders.
Engineering machinery fault diagnosis system based on the sensing data wireless transmission also comprises exterior storage card module 7, and said exterior storage card module 7 is connected with embedded failure diagnosis module 4, read-write SD storing card data, and max cap. reaches 32GB.
With reference to Fig. 2, practical implementation job step of the present invention is:
(1) sensor groups module 1 is gathered all kinds of status signal data on the engineering machinery, sends to signal processing module 2.
(2) after signal processing module 2 receives the status signal data, carry out A/D conversion, filtering, signal Processing successively, and data are sent to wireless data transfer module 3.
(3) at wireless data transfer module 3, the status signal data are carried out the wireless transmission of data successively through wireless data transmission unit 301, wireless transfer channel 302, wireless data receiving element 303.
(4) after embedded failure diagnosis module 4 receives sensor groups status signal data; Its fault diagnosis flow scheme is:
signal data is carried out the normalization processing;
extracts fuzzy autoregressive model parameter as the fault fuzzy characteristics;
classifies the failure judgement type to the fault fuzzy characteristics.
(5) diagnostic result is outputed to LCD MODULE 5, show fault diagnosis result.
(6) according to the input signal adjustment fault diagnosis parameter of Keysheet module 6, go on foot otherwise turn back to (1).
Claims (2)
1. engineering machinery fault diagnosis system based on the sensing data wireless transmission; It is characterized in that: comprise sensor groups module (1), signal processing module (2), wireless data transfer module (3), embedded failure diagnosis module (4), LCD MODULE (5), Keysheet module (6); Said sensor groups module (1), signal processing module (2), wireless data transfer module (3), embedded failure diagnosis module (4) link to each other successively, and said LCD MODULE (5) is connected with embedded failure diagnosis module (4) respectively with Keysheet module (6); Said sensor groups module (1) comprises pressure transducer group (101), flow sensor group (102), obliquity sensor group (103), vibration transducer group (104), sets of temperature sensors (105), other sensor groups (106), can gather all kinds of status signals on the engineering machinery in real time; Said signal processing module (2) comprises A/D converting unit (201), filter unit (202), signal processing unit (203); Said wireless transport module (3) comprises wireless data transmission unit (301), wireless data transmission channel (302), wireless data receiving element (303); Said embedded failure diagnosis module (4) comprises data pretreatment unit (401), fault fuzzy characteristics extraction unit (402), failure modes unit (403); Data pretreatment unit (401) can carry out normalization to the various types of signal data of gathering to be handled; Fault fuzzy characteristics extraction unit (402) can use the parameter of fuzzy autoregressive model extraction model as the fault fuzzy characteristics; Failure modes unit (403) utilizes neural net method that fault signature is classified, thereby obtains fault diagnosis result; Said LCD MODULE (9) adopts the low power consumption liquid crystal display board, can show engineering machinery various types of signal data, figure and fault diagnosis result; Said Keysheet module (10) adopts membrane keyboard, is used for importing all kinds of orders.
2. like right 1 said engineering machinery fault diagnosis system based on the sensing data wireless transmission; It is characterized in that: also comprise exterior storage card module (7); Said exterior storage card module (7) is connected with embedded failure diagnosis module (4); Read-write SD storing card data, max cap. reaches 32GB.
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| CN201110379576XA CN102494717A (en) | 2011-11-25 | 2011-11-25 | Engineering machinery fault diagnosis system based on sensor data wireless transmission |
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| CN201110379576XA CN102494717A (en) | 2011-11-25 | 2011-11-25 | Engineering machinery fault diagnosis system based on sensor data wireless transmission |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105197184A (en) * | 2014-06-27 | 2015-12-30 | 中国船舶工业系统工程研究院 | Marine portable maintenance auxiliary tool |
| CN107270972A (en) * | 2017-07-28 | 2017-10-20 | 安永 | A kind of device of the pre- failure judgement of engineering machinery |
| CN109630449A (en) * | 2018-11-30 | 2019-04-16 | 冶金自动化研究设计院 | A kind of three proofings ventilation equipment failure prediction system based on RBF algorithm |
| CN112326264A (en) * | 2020-10-30 | 2021-02-05 | 江苏徐工工程机械研究院有限公司 | Operating state monitoring and fault diagnosis system and method for remotely controlling engineering vehicle |
| CN113259422A (en) * | 2021-04-26 | 2021-08-13 | 苏州市伯太数字科技有限公司 | Intelligent sensing device based on TSN network standard |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105197184A (en) * | 2014-06-27 | 2015-12-30 | 中国船舶工业系统工程研究院 | Marine portable maintenance auxiliary tool |
| CN107270972A (en) * | 2017-07-28 | 2017-10-20 | 安永 | A kind of device of the pre- failure judgement of engineering machinery |
| CN109630449A (en) * | 2018-11-30 | 2019-04-16 | 冶金自动化研究设计院 | A kind of three proofings ventilation equipment failure prediction system based on RBF algorithm |
| CN109630449B (en) * | 2018-11-30 | 2020-10-27 | 冶金自动化研究设计院 | Three-proofing ventilation equipment fault prediction system based on RBF algorithm |
| CN112326264A (en) * | 2020-10-30 | 2021-02-05 | 江苏徐工工程机械研究院有限公司 | Operating state monitoring and fault diagnosis system and method for remotely controlling engineering vehicle |
| CN113259422A (en) * | 2021-04-26 | 2021-08-13 | 苏州市伯太数字科技有限公司 | Intelligent sensing device based on TSN network standard |
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Application publication date: 20120613 |